Checkpoint CM95 PBF production code and docs for Linux migration
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NavSea_CM95接入规范-v1.md
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# NavSea CM95 接入规范
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版本：`v1`
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状态：首版实施规范
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用途：定义将具备合法使用授权的 CM95 海图数据转换为 PBF，并直接接入现有 NavSea Full semantic style 的数据契约、实施顺序和验收门禁。
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## 1. 结论
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CM95 必须向 NavSea 的既有 PBF 契约靠齐；不为 CM95 重写一套海图 style，也不允许把 CM95 原始对象类别直接暴露给前端 style。
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当前接入基线为：
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- style：[`src/pbf/style.navsea-delivery-full-semantic-unified-20260808.json`](/root/sourceserver/pbf/src/pbf/style.navsea-delivery-full-semantic-unified-20260808.json)
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- sprite：`http://192.168.200.184/newpec/sprite-semantic-unified-20260808/sprite`
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- glyphs：`http://192.168.200.184/newpec/fonts/{fontstack}/{range}.pbf`
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CM95 转换产物必须满足该 style 的 `source-layer`、字段和值域要求。满足后，新 style 只需复制基线文件并修改 `sources.navsea_delivery.tiles` 的瓦片地址。
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## 2. 边界与前提
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- 仅处理已获授权解码、转换、缓存和部署的 CM95 数据。
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- CM95 解码器不属于本仓库交付物；本规范的输入是已经合法导出的矢量要素及其属性。
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- 转换过程不得篡改海图几何、深度、净空、航标与危险物的原始业务含义。
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- 所有要素必须有稳定的上游对象身份；若 CM95 未提供全局稳定 ID，必须由“数据集版本 + 原始 cell/record ID + 几何类型”生成可复现的 `source_id`。
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- 第一版只追求“复用当前 style 并可审计”，不以压缩字段或全国一次性全量生产为目标。
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## 3. 目标架构
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```text
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CM95 合法导出数据
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-> CM95 解析与原始对象归档
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-> CM95→NavSea 语义/渲染映射
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-> NavSea 兼容要素集
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-> Web Mercator MVT/PBF
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-> 现有 NavSea Full semantic style
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```
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其中“CM95→NavSea 语义/渲染映射”是唯一允许理解 CM95 原始类别与属性差异的层。MVT 和 style 只消费 NavSea 的标准图层与字段。
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## 4. 固定图层契约
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第一版 PBF 的图层名称必须与当前 style 完全一致。不得随意以 CM95 对象名作为图层名。
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| 业务类别 | 目标 `source-layer` |
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| --- | --- |
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| 海域底色、水深区 | `baseline_area`、`depth_zone_739`、`depth_zone_741` |
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| 海岸、陆地与岸线 | `land_area`、`baseline_line`、`baseline_outline` |
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| 等深线与测深文字 | `depth_contour`、`bathymetry_line`、`seabed_text_point` |
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| 航标、灯塔、浮标、灯弧 | `navigation_marks` |
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| 航行危险物 | `navigation_hazard_point`、`navigation_hazard_area`、`navigation_hazard_outline` |
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| 锚泊及锚泊注意 | `anchorage_point`、`anchorage_area`、`anchorage_outline`、`anchor_caution_hazard_point`、`anchor_caution_hazard_area`、`anchor_caution_hazard_outline` |
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| 渔具与渔业禁限 | `fixed_fishing_gear_area` |
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| 设施、桥梁、净空 | `facility_boundary_point`、`facility_boundary_area`、`facility_boundary_outline`、`bridge_structure`、`clearance_limit_point`、`clearance_limit_line` |
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| 地名和陆上设施 | `place_label_sea`、`place_label_land`、`onshore_structure_point`、`onshore_structure_line`、`onshore_structure_area` |
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| 其他已由 style 消费的图层 | `pilot_station_point`、`seabed_line`、`submerged_reef_area`、`hazard_boundary_outline`、`hole_area`、`clip_outline_754` |
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未能映射到上述图层的 CM95 对象不得静默丢弃：应写入工程版的 `cm95_unmapped` 隔离层并生成映射缺口报告；该隔离层不进入正式 style。
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## 5. 字段契约
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### 5.1 每个已交付要素必须有的字段
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| 字段 | 要求 |
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| --- | --- |
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| `fid` | NavSea 稳定、可复现的对象标识；不能使用每次构建都会变化的临时序号。 |
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| `canonical_family` | NavSea 大类语义。 |
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| `canonical_object_type` | NavSea 细粒度对象类型。 |
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| `render_layer` | 与实际 `source-layer` 相同的目标渲染层。 |
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| `chart_render_type` | `fill`、`line`、`symbol`、`label` 或 `none`。 |
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| `chart_priority` | 绘制/碰撞优先级。 |
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| `source_id` | 可回查 CM95 上游对象的稳定标识；工程版必留，交付版建议保留。 |
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| `source_dataset_id` | CM95 数据集、cell 或版本标识；工程版必留。 |
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### 5.2 当前 style 的直接渲染字段
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按对象类型填写以下字段，未适用字段可缺省，但不得以伪造值替代：
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| 对象类别 | 必要或高优先级字段 |
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| --- | --- |
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| 面与水深区 | `chart_fill_style`、`chart_fill_pattern` |
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| 线 | `chart_line_color`、`chart_line_width`、`chart_line_pattern` |
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| 图标 | `chart_icon_image`、`chart_symbol_code`、`class_code`、`display_code`、`shape_class_code` |
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| 文字 | `chart_label_text`、`chart_label_subtext`、`chart_text_style`、`chart_text_color`、`chart_label_position_code` |
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| 灯标 | `light_color_code`、`chart_label_subtext`；有弧段时还需 `arc_id` 与可追溯的原始弧段编码。 |
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`chart_icon_image`、`chart_fill_pattern` 和 `arc_id` 的取值必须是当前 semantic sprite 中真实存在的键。不得写入旧 `symbol-daytime-*`、`fill-daytime-*` 或未经 sprite 审计的新键。
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### 5.3 CM95 原始属性保留
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CM95 的原始属性不得直接成为 style 的长期依赖，但工程版必须保留以下可追溯信息：
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- CM95 对象类别/OBJL；
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- 原始对象 ID、cell/数据集 ID、更新时间或版本；
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- 原始属性全集或其不可逆裁剪前的外部 trace；
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- 原始几何类型；
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- 映射规则 ID 与映射版本。
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交付版可裁掉详细 trace，但必须能凭 `fid` 在工程索引中回查到上述信息。
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## 6. CM95 映射实施方式
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建立一个版本化映射表，例如 `tasks/pbf/mappings/cm95_to_navsea_v1.yaml`。每条规则至少包含：
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- `cm95_object_class`：CM95 原始对象类别；
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- `geometry_type`：点、线、面；
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- `condition`：属性条件；
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- `target_source_layer`：本规范第 4 节中的目标层；
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- `canonical_family`、`canonical_object_type`；
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- `style_fields`：需物化的 `chart_*`、灯标、文字或数值字段；
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- `rule_id`、`mapping_version`；
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- `safety_class`：`hard_gate`、`important` 或 `normal`。
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映射优先级如下：
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1. 航标、灯火、浮标、灯弧；
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2. 暗礁、沉船、障碍物、浅水、干出与露出对象；
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3. 水深区、等深线、测深与净空；
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4. 海陆边界、陆地、航道、锚地、限制区、渔具；
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5. 设施、地名和一般说明。
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同一 CM95 类别因属性不同而表现不同，必须拆成多条显式规则；不能只按对象类别做一对一映射。
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## 7. PBF 生成规则
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- 统一投影为 EPSG:3857，使用 XYZ `z/x/y` 切片。
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- MVT extent 固定为 `4096`，同一目标图层内保持一致。
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- 首版目标 zoom 为 `0–12`；小范围试产可先产出覆盖 AOI 的 `z8–12`。
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- 面、线裁切须带足够 buffer，避免瓦片边缘断裂；点不得因边界判断被重复删除。
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- 保持原始几何类型；不得将面危险物降级为点，或把线界线误转为面。
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- 同一 `fid` 在不同 zoom/tile 的实例可重复出现，但其身份和核心语义必须一致。
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- 构建时输出工程版 PBF、交付版 PBF、映射缺口 JSON/Markdown 和 `fid -> source_id` 审计索引。
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## 8. Style 接入方式
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以当前基线 style 复制一个 CM95 部署版本。首版只允许修改以下内容：
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```json
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{
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"name": "NavSea CM95 <区域> <版本>",
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"sources": {
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"navsea_delivery": {
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"tiles": ["https://<host>/pbf-cm95-<区域>-<版本>/{z}/{x}/{y}.pbf"]
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}
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}
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}
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```
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保持不变：
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- 全部 layer ID、顺序、filter 和 paint/layout；
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- semantic sprite URL；
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- glyph URL；
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- 外部 tide 与底图 source。
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若某一类 CM95 数据无法命中现有 style，优先补充映射字段或 sprite 映射；只有确认现有 style 无法表达且完成专项审计后，才允许新增 style layer。
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## 9. 分阶段交付
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### 阶段 A：单 AOI 可视化样本
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- 选择一个含陆地、水深、航标和危险物的港口或近岸 AOI。
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- 导出 CM95 原始对象清单及 `source_id`。
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- 完成第 6 节映射表的最小覆盖。
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- 生成 z8–12 PBF，使用只改 tile URL 的 style 打开。
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通过条件：底图、水深、等深线、陆地、主要航标和危险物均可显示，且无大面积空白或错误覆盖。
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### 阶段 B：安全对象闭环
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- 补齐所有 `hard_gate` 对象的分类、图层和符号字段。
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- 灯火必须同时验证灯色、略记和灯弧（如原始数据提供）。
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- 危险物必须验证水上/水下/露出/干出语义不会画反。
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通过条件：对象保全审计的安全对象缺失数为 `0`，关键图标/文字/symbol sprite 缺失数为 `0`。
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### 阶段 C：区域扩展与发布
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- 扩展至完整目标海域及 z0–12。
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- 收敛未映射对象；剩余对象须有明确的隔离理由和风险结论。
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- 生成正式交付版及可回查工程索引。
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## 10. 必须执行的审计顺序
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按项目正式口径执行，不能以视觉相似替代对象保全：
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1. **对象保全审计**：以 `source_id + source_dataset_id + geometry_type` 回对 CM95 原始导出与 PBF；检查缺失、错误重分层、错误合并、身份丢失。
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2. **渲染审计**：扫描 PBF 字段、style 命中和 sprite 资源；检查关键对象是否获得有效 fill、line、icon、text。
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3. **AOI 视觉审计**：在固定中心点和 zoom 检查叠压、边缘裁切、标签、海陆关系与安全感知。
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CM95 没有“旧 NavSea PBF”可作为对象基准时，CM95 原始导出数据就是第一层审计的基准；不可跳过这一层。
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## 11. 硬门禁
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以下任一项不通过，CM95 PBF 不得切换到正式 URL：
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- `hard_gate` 对象存在缺失、身份不可回查或错误图层；
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- `chart_icon_image`、`chart_fill_pattern`、`arc_id` 引用不存在的 sprite 键；
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- 深度、净空、危险物或灯火发生单位错误、正负号错误或水上/水下语义反转；
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- PBF 投影、extent、坐标轴或 tile y 方向错误；
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- style 实际加载的 tile URL 不是候选 CM95 PBF；
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- 映射缺口被静默丢弃；
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- 未完成针对目标 AOI 的人工视觉复核。
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## 12. 首次实施的输入与产出
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开始实施前需要提供：
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- 一个合法导出的 CM95 AOI 样本；
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- 导出格式和字段/对象类别字典；
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- 数据集版本、坐标参考和深度/高度单位说明；
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- 目标海域、目标 zoom、部署 PBF URL；
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- 至少一个包含航标、危险物、水深区和陆地的验收 AOI。
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首次实施完成时必须交付：
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- `cm95_to_navsea_v1.yaml` 映射表；
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- CM95→NavSea 转换脚本；
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- 工程版与交付版 PBF；
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- 映射缺口报告、对象保全报告、sprite 闭合报告和 AOI 审计报告；
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- 仅替换瓦片 URL 的 CM95 style 文件。
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## 13. 与既有文档的关系
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- 本规范定义 CM95 作为新上游数据源时如何接入；
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- [NavSea PBF Schema v2](tasks/pbf/NavSea_PBF_schema_v2.md) 定义通用 PBF 字段方向；
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- [NavSea Tile Generation Pipeline v2](tasks/pbf/NavSea_tile_generation_pipeline_v2.md) 定义既有原始 PBF→交付 PBF 流程；
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- [NavSea 交付前审计规范](NavSea_Delivery_Preflight_Audit_Spec.md) 定义正式交付审计门禁。
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出现冲突时，以安全对象不丢失、可回查和当前 style 实际字段契约为最高优先级。
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62
PACKAGE_MANIFEST_SHA256.txt
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62
PACKAGE_MANIFEST_SHA256.txt
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# CM95 PBF Production v1.4.7 ROOT OVERLAY
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# SHA-256 manifest; this manifest does not hash itself.
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40ab19e0b75714e756b8079744121a27b404175abd7c595fa49cb500046d751a config/mappings/cm95_gap_disposition_japan_dataset_1_v1.yaml
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2df00c19404adf3510443c615748bff5ecc2789c16da4ea8c2cfd42f3ccc717d config/mappings/cm95_gap_disposition_v1.yaml
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3947a326e8e805d7eab357463380b2f303ba75ebe08dce4e4b708bc61416b575 config/mappings/cm95_to_navsea_v1.yaml
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f3036ddb3b89a33577bf9d0ae16ca71aaa3726fd83bb365810ab48abce8381eb config/pbf/cm95_production_v1.yaml
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8db466b99466a0f15079d6a644049bb30e3a31dca5f6f545a571da8f5d64d4c5 config/pbf/cm95_tile_policy_japan_full_detail_v1.yaml
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d56396625f9ef25de274f05222156f06d4b39a91a3d9809bc30b1218bd601f7f config/pbf/cm95_tile_policy_v1.yaml
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37aba6d8a12a4500e6599309430f97776e64aeda867c45728d984dcb6fc3ff1a config/pbf/cm95_v1_4_5_nonrenderable_label_tiles.txt
|
||||
3e89bc20e2465592a2dc70509649e159a958b254452dd26e7d3bf2e8e74e7fb9 config/sprite/semantic-sprite-20260808.json
|
||||
c11aa7b9410171df8b59f5175885ce0ebd2480706f3699eb7c28b1f4d351aaf4 config/style/style.navsea-delivery-full-semantic-unified-20260808-cm95-v1.json
|
||||
207b2e4ea7eab1cafd549a894c36195fc060516307c2d73b05b52aad650eb3e2 docs/25个新增映射缺口分类说明_v1.md
|
||||
f7e2f3a6f7ceb7dccd4cc3595e556d296d83300cfb48764b51b80633cb650013 docs/CM95_21张PBF对照审计_v1.md
|
||||
7a24a5b33aac427f7e2be887ada48b346db7418db86d3087899f630582930e47 docs/CM95_PBF_Pilot生成器设计_v1.md
|
||||
bba1fadc7d218b89531611afc25bf8c587667947af5bda024185d13dcd3850cb docs/CM95_PBF_v1.4.7_导航名称冲突审计式省略_v1.md
|
||||
cf75fad5361fd2e502bdeb1a7114631549a36f4fa3f7cc5fd854a672a8c3014f docs/CM95_PBF_v1_2变更说明.md
|
||||
d9fa32f28b7b4c325f3e17e05798f2b971b132274cfb1e0aff546d838ef78bc8 docs/CM95_PBF_v1_3变更说明.md
|
||||
b6ba3051caecf9746c5ae091b32c7e8924ad0a6038c8160b61ea6c6ae8610441 docs/CM95_PBF_v1_4_3离线自检报告_v1.md
|
||||
d6be555db71855a1decc88bb8164c4dd556371880c3818ced2388b415fc7b6fc docs/CM95_PBF生产化阶段_v1_4.md
|
||||
c545546d76a291f30384b8a20bd5e8fb03a8fea214fac3bee11504c1e6dfadd1 docs/CM95_PBF生产化阶段_v1_4_1.md
|
||||
e8a6dc017ed7c7a92fd67afed5a014a6860534de6745a5c404bd5541e92e7d1b docs/CM95_PBF生产化阶段_v1_4_2.md
|
||||
e31ba6dfb53ccc9d69d1108bb8734c101052bdc5b206b4a4b0d7d9eada41212b docs/CM95_PBF生产化阶段_v1_4_3.md
|
||||
cd6ad3f2e1e6e00dbd230fcad48013330500a03556ae6b5e5bda4577bc8705d4 docs/CM95_PBF生产化阶段_v1_4_4.md
|
||||
1614b56f51c6c4f2546dfd2b8b02c527ce24bcc5a0877544b925344841da9e56 docs/CM95_PBF生产化阶段_v1_4_5.md
|
||||
76ab40bfbb90f1a14e8387e16a8ab4942918123eeaf93c0224dac5af796308c4 docs/CM95_PBF生产化阶段_v1_4_6.md
|
||||
6509ee4fdcd057e2e0a959c92ee3768cd672dc27f570279ee2e0267202da114b docs/CM95_助航名称规则冻结_v1.md
|
||||
4fec6374e3ec462946cc6fb6cea04f69513c45066eade42ecbb89c7158e7932f docs/PBF03_离线自检报告_v1.md
|
||||
8daaa1f6e373e1df20c553208e5657a87fcc2f8b291d2164d2240d133bc07252 docs/PBF03_离线自检报告_v1_1.md
|
||||
69f821a70d2bfb8bdbbd53b5a9f20e591b54a3aaabbbab1d6a7f59d526629eba docs/cm95_global_mapping_gap_closure_audit_v2.json
|
||||
ebadb6ea5cf3365a22c06ee5c8806e43ef23c1a8358ed9cfba4aae28aa5876ab docs/cm95_mapping_contract_check_v1.json
|
||||
e527cfe189982ae914bb7f920d7abf8b06c358b132359952e5c9f38be48124f7 docs/cm95_mapping_contract_check_v1_1.json
|
||||
b22aab3cc1d57f77195f367841ce1f585b8ce0300ee1c11275b3a100a9cba1ab docs/cm95_mapping_contract_check_v1_4_3.json
|
||||
836fde71f3e012b0613ab8e9069075a420a8b186c8f13559ab6a925fd0536279 pyproject.toml
|
||||
a460a58863c910fa7593ae36768bf061ed51f956080e9b11497485558d86a6b2 requirements.txt
|
||||
20080eea2aaa7a672f93143fea66944954e578a81e468e99c7c7de6b995fad63 scripts/cm95_japan_continue_from_step8.ps1
|
||||
415b8ffd7d27d81dad461368cfc51c2b2a119cc64f8a44a32b7b3d8d21731c93 scripts/cm95_japan_v1_4_6_continue.ps1
|
||||
0819b124050c7c8262f2da081cf9b2db719a478dd9047b79058c8c8a7b24cd2b scripts/cm95_japan_v1_4_7_finalize_existing.ps1
|
||||
2ba6a657e19ed96cb7581fd9252a9f36b2c87bf3263cc5cf1a9e3b5701caf68b src/cm95pbf/__init__.py
|
||||
e0e2bc0bcdf4e52b93cf5af4dbad4cdd4245d6d7b5d6667dfd2181683780b51f src/cm95pbf/builder.py
|
||||
f9b0f20671aa0860cbfebb0eab83631c26fa02b92b29f863746d5a2f9fdf02c4 src/cm95pbf/cli.py
|
||||
9ff689390d57950094a97d19ba1d1042640aa07f511198b81f0c8a67c9c32a7b src/cm95pbf/identity.py
|
||||
1b60945c08766d57c8c50d34979e665c3a63264e758c85f987086f5d3f550500 src/cm95pbf/mapping.py
|
||||
acf22401be75023d4f01b56c4b4f418310f67687553b4293eda486e89340fe13 src/cm95pbf/policy.py
|
||||
02befc10a9014ada2aba86054b9e79217dc5d1053da5b4a0ac24b67f06015b62 src/cm95pbf/production.py
|
||||
fa96143732bf949e28d560a582f5b0a19f9f0a816acd8096b27ce0b0e0554846 src/cm95pbf/release.py
|
||||
b775aea2807049570f33d493ba8a403ec88e9f1f8c4d487d39d6f6e9b8e38ad2 src/cm95pbf/style_contract.py
|
||||
18ef07d97145d6030dee0a6e9bac689061b7a4c5ea23a84e40b0231f3699e333 tools/cm95_global_mapping_gap_audit_v1.py
|
||||
a604be1eafa2d5a5c58897a1ceabf41bf5987fbbb445f07c70e02d90d55bcd77 tools/cm95_global_mapping_gap_closure_audit_v2.py
|
||||
0fa02b0b2e8393a5481eb5ee7e6762bdf0651a2f7d74a44bc66b5b651a61c058 tools/cm95_mapping_contract_check_v1.py
|
||||
42a430db375a97361113eedc9ad902a074d131845c820db8e3f14b0aa8ee4207 tools/cm95_nav_aid_relation_audit_v1.py
|
||||
30bd4f1480c64279a54b52aa82ca479cb145fadbddecb10e6fb9a203852ba8d0 tools/cm95_nav_name_conflict_audit_v1.py
|
||||
90d5078953a74ec458d6cb356174436a840cd99f4cc721015b4c23d49a0e81a7 tools/cm95_pbf_build_reports_audit_v1.py
|
||||
7e77e496e90af634640a457a09a4ba9cf58bbeb628fb5f63ce90e9b648897b00 tools/cm95_pbf_output_audit_v1.py
|
||||
66f29ee2c1154fc7fadb610462f0b03e7efc0bb3498ffea36022e5cccdf29fb6 tools/cm95_pbf_style_contract_audit_v2.py
|
||||
d1d7877e31b743c655bdbafce845a7b63aca69c14bf5efb706ef7b851acd2c33 tools/cm95_production_failure_audit_v1.py
|
||||
b938f37f1a9b8907d0717c97810b3e8f5332cb0a575f2d5baa63312bf272626d tools/cm95_production_plan_audit_v1.py
|
||||
8899a9dfad6039f07c39281fb4b4211e0520743d4c2d01adee523bd9fdb12407 tools/cm95_v1_4_5_preflight.py
|
||||
b53250bec660bc39265d8de9dc3611a0673539bdb674e2f02964f1d6cf1e9a45 tools/cm95_v1_4_6_preflight.py
|
||||
8f6f8dae52f765cae2148b5a2653d5d7eaa25ae75e2c10a29dbfa55cf1cae63b tools/cm95_v1_4_6_query_equivalence.py
|
||||
252d6edc509dff83c811b2c0d0643d8b97cf4712f247779f5d0ac2a07b05170f tools/cm95_v1_4_7_preflight.py
|
||||
8c91f52e1eaf438415b325f9f97de59107cb52c6dbe57c10eab580c56ed556b8 使用说明.txt
|
||||
5888c482f5cd6d2980e46ecc936f9d1cfb1626b30474a18d0c2e37b990b24472 替换与执行说明.md
|
||||
35
README.txt
Normal file
35
README.txt
Normal file
@@ -0,0 +1,35 @@
|
||||
CM95 Japan Full Rebuild Pipeline v2
|
||||
|
||||
替换：
|
||||
D:\React\cm93-mysql-importer-starter\scripts\cm95_japan_full_rebuild_pipeline.ps1
|
||||
|
||||
执行：
|
||||
cd D:\React\cm93-mysql-importer-starter
|
||||
|
||||
powershell -ExecutionPolicy Bypass `
|
||||
-File .\scripts\cm95_japan_full_rebuild_pipeline.ps1
|
||||
|
||||
默认：
|
||||
ProjectRoot = D:\React\cm93-mysql-importer-starter
|
||||
SourceRoot = D:\Ship\CM93V2\CM93JAPAN
|
||||
ExpectedCells = 1492
|
||||
Workers = 4
|
||||
|
||||
破坏性操作前要求输入：
|
||||
DELETE <CM93_DB_NAME>
|
||||
|
||||
跳过确认：
|
||||
powershell -ExecutionPolicy Bypass `
|
||||
-File .\scripts\cm95_japan_full_rebuild_pipeline.ps1 `
|
||||
-Force
|
||||
|
||||
v2 修复：
|
||||
- 不再使用 PowerShell 把多行 Python 通过 -c 参数传给 python.exe；
|
||||
- 所有 Python helper 使用临时 .py 文件；
|
||||
- audit gate 对齐当前 cm93db JSON；
|
||||
- geometry validity 保持 informational；
|
||||
- status-production 多行 JSON 正确解析；
|
||||
- finalizer 使用当前 Dataset 专属 semantic backlog，不复用旧 Dataset 1 的静态 feature-row 数字。
|
||||
|
||||
如果 mapping gap closure FAIL：
|
||||
pipeline 会在生成 PBF 前停止。
|
||||
1008
cm95_karatsu_aoi_mapping_audit_v1.py
Normal file
1008
cm95_karatsu_aoi_mapping_audit_v1.py
Normal file
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1 @@
|
||||
|
||||
|
|
@@ -0,0 +1 @@
|
||||
|
||||
|
|
@@ -0,0 +1,45 @@
|
||||
{
|
||||
"version": "v1.0",
|
||||
"generated_at": "2026-09-03T08:06:34",
|
||||
"database": "cm93_chart",
|
||||
"dataset_id": 1,
|
||||
"read_only": true,
|
||||
"aoi": {
|
||||
"tile": {
|
||||
"z": 10,
|
||||
"x": 881,
|
||||
"y": 410
|
||||
},
|
||||
"bbox_wgs84": {
|
||||
"min_lon": 129.7265625,
|
||||
"min_lat": 33.4314413355753,
|
||||
"max_lon": 130.078125,
|
||||
"max_lat": 33.7243396617476
|
||||
},
|
||||
"known_navsea_samples_inside": [
|
||||
"z10/881/410",
|
||||
"z11/1762/820",
|
||||
"z12/3525/1643"
|
||||
]
|
||||
},
|
||||
"dataset": {
|
||||
"id": 1,
|
||||
"source_type": "CM93",
|
||||
"name": "CM93JAPAN",
|
||||
"source_root": "D:\\Ship\\CM93V2\\CM93JAPAN",
|
||||
"parser_version": "0.2.0",
|
||||
"normalized_srid": 4326
|
||||
},
|
||||
"warnings": [],
|
||||
"counts": {
|
||||
"aoi_cells": 0,
|
||||
"aoi_spatial_features": 0,
|
||||
"object_class_geometry_groups": 0,
|
||||
"attribute_group_count": 0,
|
||||
"sample_feature_count": 0,
|
||||
"related_sample_count": 0
|
||||
},
|
||||
"geometry_counts": [],
|
||||
"object_classes": [],
|
||||
"next_step": "Use AOI_对象映射准备表_v1.csv + 属性值域汇总_v1.csv to author cm95_to_navsea_v1.yaml."
|
||||
}
|
||||
@@ -0,0 +1 @@
|
||||
|
||||
|
|
@@ -0,0 +1 @@
|
||||
|
||||
|
|
@@ -0,0 +1 @@
|
||||
|
||||
|
|
@@ -0,0 +1 @@
|
||||
|
||||
|
|
@@ -0,0 +1 @@
|
||||
|
||||
|
|
@@ -0,0 +1 @@
|
||||
|
||||
|
|
@@ -0,0 +1,18 @@
|
||||
CM95 唐津 AOI → NavSea PBF 映射输入审计 v1
|
||||
====================================================================================
|
||||
Dataset ID : 1
|
||||
Tile : z10/881/410
|
||||
BBox WGS84 : 129.7265625000,33.4314413356 → 130.0781250000,33.7243396617
|
||||
|
||||
AOI cells : 0
|
||||
AOI spatial features : 0
|
||||
Object class/geom groups : 0
|
||||
Attribute groups : 0
|
||||
Feature samples : 0
|
||||
Related samples : 0
|
||||
|
||||
Geometry counts:
|
||||
|
||||
NEXT:
|
||||
上传本脚本生成的 ZIP。
|
||||
下一步直接生成 cm95_to_navsea_v1.yaml 初版并标注 UNMAPPED / hard_gate 缺口。
|
||||
1981
cm95_karatsu_presence_diagnostic_v2.json
Normal file
1981
cm95_karatsu_presence_diagnostic_v2.json
Normal file
File diff suppressed because it is too large
Load Diff
304
cm95_karatsu_presence_diagnostic_v2.py
Normal file
304
cm95_karatsu_presence_diagnostic_v2.py
Normal file
@@ -0,0 +1,304 @@
|
||||
#!/usr/bin/env python3
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
CM95 唐津 AOI Presence Diagnostic v2
|
||||
|
||||
只读诊断：
|
||||
1) chart_cell bbox 是否覆盖唐津 z10/881/410；
|
||||
2) chart_feature bbox 是否命中；
|
||||
3) 实际 Point/Line/Area geometry 是否通过 MBRIntersects 命中；
|
||||
4) Sounding point 是否命中；
|
||||
5) 输出离唐津中心最近的 Cell / Feature，帮助判断 Dataset 1 是否根本没有唐津细节数据。
|
||||
|
||||
不修改数据库。
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
import argparse
|
||||
import getpass
|
||||
import json
|
||||
import math
|
||||
from pathlib import Path
|
||||
from datetime import datetime
|
||||
|
||||
import pymysql
|
||||
from pymysql.cursors import DictCursor
|
||||
|
||||
LON_MIN = 129.7265625
|
||||
LAT_MIN = 33.4314413355753
|
||||
LON_MAX = 130.078125
|
||||
LAT_MAX = 33.7243396617476
|
||||
CENTER_LON = (LON_MIN + LON_MAX) / 2
|
||||
CENTER_LAT = (LAT_MIN + LAT_MAX) / 2
|
||||
|
||||
|
||||
def args():
|
||||
p = argparse.ArgumentParser()
|
||||
p.add_argument("--host", default="127.0.0.1")
|
||||
p.add_argument("--port", type=int, default=3306)
|
||||
p.add_argument("--user", default="root")
|
||||
p.add_argument("--password")
|
||||
p.add_argument("--database", default="cm93_chart")
|
||||
p.add_argument("--dataset-id", type=int, default=1)
|
||||
p.add_argument("--output", default="cm95_karatsu_presence_diagnostic_v2.json")
|
||||
return p.parse_args()
|
||||
|
||||
|
||||
def fetch(cur, sql, params=()):
|
||||
cur.execute(sql, params)
|
||||
return list(cur.fetchall())
|
||||
|
||||
|
||||
def scalar(cur, sql, params=()):
|
||||
cur.execute(sql, params)
|
||||
r = cur.fetchone()
|
||||
return None if not r else next(iter(r.values()))
|
||||
|
||||
|
||||
def main():
|
||||
a = args()
|
||||
if a.password is None:
|
||||
a.password = getpass.getpass("MySQL password: ")
|
||||
|
||||
conn = pymysql.connect(
|
||||
host=a.host, port=a.port, user=a.user, password=a.password,
|
||||
database=a.database, charset="utf8mb4",
|
||||
cursorclass=DictCursor, autocommit=False,
|
||||
connect_timeout=20, read_timeout=900,
|
||||
)
|
||||
|
||||
report = {
|
||||
"version": "v2",
|
||||
"generated_at": datetime.now().isoformat(timespec="seconds"),
|
||||
"dataset_id": a.dataset_id,
|
||||
"target": {
|
||||
"tile": "z10/881/410",
|
||||
"bbox": [LON_MIN, LAT_MIN, LON_MAX, LAT_MAX],
|
||||
"center": [CENTER_LON, CENTER_LAT],
|
||||
},
|
||||
"read_only": True,
|
||||
}
|
||||
|
||||
poly_wkt = (
|
||||
f"POLYGON(({LON_MIN} {LAT_MIN},"
|
||||
f"{LON_MAX} {LAT_MIN},"
|
||||
f"{LON_MAX} {LAT_MAX},"
|
||||
f"{LON_MIN} {LAT_MAX},"
|
||||
f"{LON_MIN} {LAT_MIN}))"
|
||||
)
|
||||
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
try:
|
||||
cur.execute("SET SESSION TRANSACTION READ ONLY")
|
||||
cur.execute("START TRANSACTION READ ONLY")
|
||||
except Exception:
|
||||
cur.execute("START TRANSACTION")
|
||||
|
||||
report["dataset"] = fetch(cur, """
|
||||
SELECT id,name,source_type,source_root,parser_version,normalized_srid
|
||||
FROM chart_dataset WHERE id=%s
|
||||
""", (a.dataset_id,))
|
||||
|
||||
report["global_feature_bbox"] = fetch(cur, """
|
||||
SELECT
|
||||
MIN(bbox_min_lon) min_lon,
|
||||
MIN(bbox_min_lat) min_lat,
|
||||
MAX(bbox_max_lon) max_lon,
|
||||
MAX(bbox_max_lat) max_lat,
|
||||
SUM(bbox_min_lon IS NOT NULL) bbox_rows,
|
||||
COUNT(*) total_rows
|
||||
FROM chart_feature
|
||||
WHERE dataset_id=%s
|
||||
""", (a.dataset_id,))
|
||||
|
||||
report["global_cell_bbox"] = fetch(cur, """
|
||||
SELECT
|
||||
MIN(bbox_min_lon) min_lon,
|
||||
MIN(bbox_min_lat) min_lat,
|
||||
MAX(bbox_max_lon) max_lon,
|
||||
MAX(bbox_max_lat) max_lat,
|
||||
SUM(bbox_min_lon IS NOT NULL) bbox_rows,
|
||||
COUNT(*) total_rows
|
||||
FROM chart_cell
|
||||
WHERE dataset_id=%s
|
||||
""", (a.dataset_id,))
|
||||
|
||||
bbox_params = (
|
||||
a.dataset_id,
|
||||
LON_MIN, LON_MAX, LAT_MIN, LAT_MAX,
|
||||
)
|
||||
|
||||
report["cell_bbox_overlap"] = fetch(cur, """
|
||||
SELECT id,source_relative_path,scale_code,native_scale,
|
||||
bbox_min_lon,bbox_min_lat,bbox_max_lon,bbox_max_lat,
|
||||
feature_count
|
||||
FROM chart_cell
|
||||
WHERE dataset_id=%s
|
||||
AND bbox_max_lon >= %s
|
||||
AND bbox_min_lon <= %s
|
||||
AND bbox_max_lat >= %s
|
||||
AND bbox_min_lat <= %s
|
||||
ORDER BY native_scale,source_relative_path
|
||||
""", bbox_params)
|
||||
|
||||
report["feature_bbox_count"] = scalar(cur, """
|
||||
SELECT COUNT(*)
|
||||
FROM chart_feature
|
||||
WHERE dataset_id=%s
|
||||
AND bbox_max_lon >= %s
|
||||
AND bbox_min_lon <= %s
|
||||
AND bbox_max_lat >= %s
|
||||
AND bbox_min_lat <= %s
|
||||
""", bbox_params)
|
||||
|
||||
# Direct actual geometry checks. These bypass chart_feature bbox metadata.
|
||||
direct = {}
|
||||
for kind, table in [
|
||||
("point", "chart_point_geometry"),
|
||||
("line", "chart_line_geometry"),
|
||||
("area", "chart_area_geometry"),
|
||||
]:
|
||||
try:
|
||||
direct[kind] = scalar(cur, f"""
|
||||
SELECT COUNT(*)
|
||||
FROM {table} g
|
||||
JOIN chart_feature f ON f.id=g.feature_id
|
||||
WHERE f.dataset_id=%s
|
||||
AND MBRIntersects(
|
||||
g.geom,
|
||||
ST_GeomFromText(%s,4326)
|
||||
)
|
||||
""", (a.dataset_id, poly_wkt))
|
||||
except Exception as e:
|
||||
direct[kind] = {"error": str(e)}
|
||||
|
||||
report["direct_geometry_mbr_counts"] = direct
|
||||
|
||||
try:
|
||||
report["sounding_bbox_count"] = scalar(cur, """
|
||||
SELECT COUNT(*)
|
||||
FROM chart_sounding_point s
|
||||
JOIN chart_feature f ON f.id=s.feature_id
|
||||
WHERE f.dataset_id=%s
|
||||
AND ST_X(s.geom) BETWEEN %s AND %s
|
||||
AND ST_Y(s.geom) BETWEEN %s AND %s
|
||||
""", (
|
||||
a.dataset_id,
|
||||
LON_MIN, LON_MAX, LAT_MIN, LAT_MAX,
|
||||
))
|
||||
except Exception as e:
|
||||
report["sounding_bbox_count"] = {"error": str(e)}
|
||||
|
||||
# Nearest cell by bbox center, excluding pathological world-scale cells when possible.
|
||||
report["nearest_cells"] = fetch(cur, """
|
||||
SELECT id,source_relative_path,scale_code,native_scale,
|
||||
bbox_min_lon,bbox_min_lat,bbox_max_lon,bbox_max_lat,
|
||||
feature_count,
|
||||
SQRT(
|
||||
POW(((bbox_min_lon+bbox_max_lon)/2)-%s,2) +
|
||||
POW(((bbox_min_lat+bbox_max_lat)/2)-%s,2)
|
||||
) AS center_distance_deg
|
||||
FROM chart_cell
|
||||
WHERE dataset_id=%s
|
||||
AND bbox_min_lon IS NOT NULL
|
||||
AND bbox_min_lat IS NOT NULL
|
||||
AND bbox_max_lon IS NOT NULL
|
||||
AND bbox_max_lat IS NOT NULL
|
||||
AND (bbox_max_lon-bbox_min_lon) < 20
|
||||
AND (bbox_max_lat-bbox_min_lat) < 20
|
||||
ORDER BY center_distance_deg ASC
|
||||
LIMIT 30
|
||||
""", (CENTER_LON, CENTER_LAT, a.dataset_id))
|
||||
|
||||
report["nearest_features"] = fetch(cur, """
|
||||
SELECT f.id,f.cell_id,c.source_relative_path,
|
||||
f.source_record_index,f.object_class_id,f.object_class,
|
||||
f.geometry_type,f.scale_code,f.native_scale,
|
||||
f.bbox_min_lon,f.bbox_min_lat,f.bbox_max_lon,f.bbox_max_lat,
|
||||
SQRT(
|
||||
POW(((f.bbox_min_lon+f.bbox_max_lon)/2)-%s,2) +
|
||||
POW(((f.bbox_min_lat+f.bbox_max_lat)/2)-%s,2)
|
||||
) AS center_distance_deg
|
||||
FROM chart_feature f
|
||||
JOIN chart_cell c ON c.id=f.cell_id
|
||||
WHERE f.dataset_id=%s
|
||||
AND f.bbox_min_lon IS NOT NULL
|
||||
AND f.bbox_min_lat IS NOT NULL
|
||||
AND f.bbox_max_lon IS NOT NULL
|
||||
AND f.bbox_max_lat IS NOT NULL
|
||||
ORDER BY center_distance_deg ASC
|
||||
LIMIT 50
|
||||
""", (CENTER_LON, CENTER_LAT, a.dataset_id))
|
||||
|
||||
# Coarse 2-degree spatial occupancy by feature bbox center.
|
||||
report["coarse_feature_grid"] = fetch(cur, """
|
||||
SELECT
|
||||
FLOOR(((bbox_min_lon+bbox_max_lon)/2)/2)*2 AS lon_bin,
|
||||
FLOOR(((bbox_min_lat+bbox_max_lat)/2)/2)*2 AS lat_bin,
|
||||
COUNT(*) AS feature_count
|
||||
FROM chart_feature
|
||||
WHERE dataset_id=%s
|
||||
AND bbox_min_lon IS NOT NULL
|
||||
AND bbox_min_lat IS NOT NULL
|
||||
AND bbox_max_lon IS NOT NULL
|
||||
AND bbox_max_lat IS NOT NULL
|
||||
AND ((bbox_min_lon+bbox_max_lon)/2) BETWEEN 120 AND 160
|
||||
AND ((bbox_min_lat+bbox_max_lat)/2) BETWEEN 20 AND 50
|
||||
GROUP BY lon_bin,lat_bin
|
||||
ORDER BY lat_bin,lon_bin
|
||||
""", (a.dataset_id,))
|
||||
|
||||
conn.rollback()
|
||||
finally:
|
||||
conn.close()
|
||||
|
||||
# Derive diagnosis.
|
||||
fcnt = report.get("feature_bbox_count")
|
||||
d = report.get("direct_geometry_mbr_counts", {})
|
||||
direct_sum = 0
|
||||
direct_errors = []
|
||||
for k, v in d.items():
|
||||
if isinstance(v, int):
|
||||
direct_sum += v
|
||||
else:
|
||||
direct_errors.append((k, v))
|
||||
|
||||
if isinstance(fcnt, int) and fcnt > 0:
|
||||
diagnosis = "AOI_PRESENT_BY_FEATURE_BBOX"
|
||||
elif direct_sum > 0:
|
||||
diagnosis = "AOI_PRESENT_IN_GEOMETRY_BUT_FEATURE_BBOX_QUERY_FAILED"
|
||||
else:
|
||||
diagnosis = "NO_CM95_GEOMETRY_FOUND_IN_KARATSU_AOI"
|
||||
|
||||
report["diagnosis"] = diagnosis
|
||||
report["direct_geometry_total"] = direct_sum
|
||||
report["direct_geometry_errors"] = direct_errors
|
||||
|
||||
out = Path(a.output).resolve()
|
||||
out.write_text(json.dumps(report, ensure_ascii=False, indent=2, default=str), encoding="utf-8")
|
||||
|
||||
print("CM95 唐津 AOI Presence Diagnostic v2")
|
||||
print("=" * 72)
|
||||
print("Target bbox :", [LON_MIN, LAT_MIN, LON_MAX, LAT_MAX])
|
||||
print("Cell bbox overlap :", len(report["cell_bbox_overlap"]))
|
||||
print("Feature bbox count:", report["feature_bbox_count"])
|
||||
print("Direct geometry :", report["direct_geometry_mbr_counts"])
|
||||
print("Soundings :", report["sounding_bbox_count"])
|
||||
print("Diagnosis :", diagnosis)
|
||||
print("")
|
||||
print("Nearest cells:")
|
||||
for r in report["nearest_cells"][:10]:
|
||||
print(
|
||||
f" {r['source_relative_path']} scale={r['native_scale']} "
|
||||
f"bbox=({r['bbox_min_lon']},{r['bbox_min_lat']},"
|
||||
f"{r['bbox_max_lon']},{r['bbox_max_lat']}) "
|
||||
f"dist={float(r['center_distance_deg']):.3f}°"
|
||||
)
|
||||
print("")
|
||||
print("Output:", out)
|
||||
print("把 JSON 上传给 ChatGPT。")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
4794
cm95_nav_aid_relation_audit_v1.json
Normal file
4794
cm95_nav_aid_relation_audit_v1.json
Normal file
File diff suppressed because it is too large
Load Diff
14
cm95_nav_aid_relation_audit_v1.txt
Normal file
14
cm95_nav_aid_relation_audit_v1.txt
Normal file
@@ -0,0 +1,14 @@
|
||||
CM95 / CM93 助航 relation20 全 AOI 审计 v1
|
||||
============================================================================
|
||||
NAV point rows : 233
|
||||
Relation groups : 93
|
||||
Rows without relation20 : 46
|
||||
Coordinate conflict groups : 0
|
||||
|
||||
LIGHTS total : 96
|
||||
LIGHTS with relation20 : 94
|
||||
LIGHTS mergeable : 94
|
||||
LIGHTS relation no base : 0
|
||||
LIGHTS standalone required : 2
|
||||
|
||||
DECISION : PASS_RELATION20_PRIMARY_KEY
|
||||
94
cm95_nav_aid_relation_groups_v1.csv
Normal file
94
cm95_nav_aid_relation_groups_v1.csv
Normal file
@@ -0,0 +1,94 @@
|
||||
cell_id,relation20,member_count,classes,has_light,has_base_component,base_classes,max_coord_spread_deg,coord_ok,members
|
||||
12,2028,2,"{""LIGHTS"": 1, ""TOWERS"": 1}",True,True,"[""TOWERS""]",0.0,True,"[{""feature_id"": 329223, ""source_record_index"": 1400, ""object_class"": ""LIGHTS"", ""native_scale"": 1000000, ""lon"": 141.57442375474542, ""lat"": 40.53965048898594, ""attributes"": {""COLOUR"": [1], ""HEIGHT"": 57, ""LITCHR"": 2, ""SIGGRP"": ""(1)"", ""SIGPER"": 8, ""VALNMR"": 19, ""_cm93_relation20_raw"": 2028}}, {""feature_id"": 329025, ""source_record_index"": 1202, ""object_class"": ""TOWERS"", ""native_scale"": 1000000, ""lon"": 141.57442375474542, ""lat"": 40.53965048898594, ""attributes"": {""CATTOW"": 1, ""COLOUR"": [1], ""CONVIS"": 1, ""NATCON"": [2], ""SORIND"": ""GB,UKHO,graph,LL M-6620"", ""VERLEN"": 23, ""_cm93_relation20_raw"": 2028}}]"
|
||||
12,2039,2,"{""BCNSPP"": 1, ""LIGHTS"": 1}",True,True,"[""BCNSPP""]",0.0,True,"[{""feature_id"": 329077, ""source_record_index"": 1254, ""object_class"": ""BCNSPP"", ""native_scale"": 1000000, ""lon"": 141.47157794882685, ""lat"": 40.54722276035132, ""attributes"": {""CATSPM"": 27, ""INFORM"": ""Metal"", ""SORIND"": ""GB,UKHO,graph,LL M-6625"", ""VERLEN"": 43, ""_cm93_relation20_raw"": 2039}}, {""feature_id"": 329240, ""source_record_index"": 1417, ""object_class"": ""LIGHTS"", ""native_scale"": 1000000, ""lon"": 141.47157794882685, ""lat"": 40.54722276035132, ""attributes"": {""CATLIT"": 5, ""COLOUR"": [1, 4], ""HEIGHT"": 79, ""LITCHR"": 19, ""SIGGRP"": ""(1)"", ""SIGPER"": 10, ""_cm93_relation20_raw"": 2039}}]"
|
||||
12,2041,2,"{""BCNSPP"": 1, ""LIGHTS"": 1}",True,True,"[""BCNSPP""]",0.0,True,"[{""feature_id"": 329081, ""source_record_index"": 1258, ""object_class"": ""BCNSPP"", ""native_scale"": 1000000, ""lon"": 141.35805082775352, ""lat"": 40.68748385272822, ""attributes"": {""INFORM"": ""Metal"", ""SORIND"": ""GB,UKHO,graph,LL M-6626"", ""_cm93_relation20_raw"": 2041}}, {""feature_id"": 329190, ""source_record_index"": 1367, ""object_class"": ""LIGHTS"", ""native_scale"": 1000000, ""lon"": 141.35805082775352, ""lat"": 40.68748385272822, ""attributes"": {""CATLIT"": 5, ""COLOUR"": [1, 1, 4], ""HEIGHT"": 69, ""INFORM"": ""The white light can be apparent on 8M"", ""LITCHR"": 19, ""SIGGRP"": ""(1)"", ""SIGPER"": 10, ""VALNMR"": 6, ""_cm93_relation20_raw"": 2041}}]"
|
||||
40,6486,2,"{""LIGHTS"": 1, ""TOWERS"": 1}",True,True,"[""TOWERS""]",0.0,True,"[{""feature_id"": 360413, ""source_record_index"": 4741, ""object_class"": ""LIGHTS"", ""native_scale"": 200000, ""lon"": 141.53481130881366, ""lat"": 40.56513638820441, ""attributes"": {""COLOUR"": [4], ""HEIGHT"": 7, ""LITCHR"": 2, ""SIGGRP"": ""(2)"", ""SIGPER"": 6, ""VALNMR"": 5, ""_cm93_relation20_raw"": 6486}}, {""feature_id"": 359972, ""source_record_index"": 4300, ""object_class"": ""TOWERS"", ""native_scale"": 200000, ""lon"": 141.53481130881366, ""lat"": 40.56513638820441, ""attributes"": {""CATTOW"": 1, ""COLOUR"": [1], ""CONVIS"": 1, ""SORIND"": ""GB,UKHO,graph,LL M-6624.86"", ""VERLEN"": 5, ""_cm93_relation20_raw"": 6486}}]"
|
||||
40,6501,2,"{""LIGHTS"": 1, ""TOWERS"": 1}",True,True,"[""TOWERS""]",0.0,True,"[{""feature_id"": 360453, ""source_record_index"": 4781, ""object_class"": ""LIGHTS"", ""native_scale"": 200000, ""lon"": 141.43965605140164, ""lat"": 40.68046315791786, ""attributes"": {""COLOUR"": [4], ""HEIGHT"": 12, ""LITCHR"": 2, ""SIGGRP"": ""(1)"", ""SIGPER"": 3, ""VALNMR"": 7, ""_cm93_relation20_raw"": 6501}}, {""feature_id"": 359997, ""source_record_index"": 4325, ""object_class"": ""TOWERS"", ""native_scale"": 200000, ""lon"": 141.43965605140164, ""lat"": 40.68046315791786, ""attributes"": {""CATTOW"": 1, ""COLOUR"": [1], ""CONVIS"": 1, ""SORIND"": ""GB,UKHO,graph,LL M-6625.7"", ""VERLEN"": 9, ""_cm93_relation20_raw"": 6501}}]"
|
||||
40,6510,2,"{""LIGHTS"": 1, ""TOWERS"": 1}",True,True,"[""TOWERS""]",0.0,True,"[{""feature_id"": 360419, ""source_record_index"": 4747, ""object_class"": ""LIGHTS"", ""native_scale"": 200000, ""lon"": 141.6269147619469, ""lat"": 40.49949414054503, ""attributes"": {""COLOUR"": [4], ""HEIGHT"": 8, ""LITCHR"": 2, ""SIGGRP"": ""(2)"", ""SIGPER"": 6, ""VALNMR"": 3, ""_cm93_relation20_raw"": 6510}}, {""feature_id"": 359963, ""source_record_index"": 4291, ""object_class"": ""TOWERS"", ""native_scale"": 200000, ""lon"": 141.6269147619469, ""lat"": 40.49949414054503, ""attributes"": {""CATTOW"": 1, ""COLOUR"": [1], ""CONVIS"": 1, ""SORIND"": ""GB,UKHO,graph,LL M-6619.5"", ""VERLEN"": 5, ""_cm93_relation20_raw"": 6510}}]"
|
||||
40,6521,2,"{""LIGHTS"": 1, ""TOWERS"": 1}",True,True,"[""TOWERS""]",0.0,True,"[{""feature_id"": 360514, ""source_record_index"": 4842, ""object_class"": ""LIGHTS"", ""native_scale"": 200000, ""lon"": 141.5676487228532, ""lat"": 40.541909757522724, ""attributes"": {""CATLIT"": 8, ""COLOUR"": [1], ""HEIGHT"": 22, ""INFORM"": ""Illuminates Hinode Iwa 430m NNW"", ""LITCHR"": 1, ""_cm93_relation20_raw"": 6521}}, {""feature_id"": 359918, ""source_record_index"": 4246, ""object_class"": ""TOWERS"", ""native_scale"": 200000, ""lon"": 141.5676487228532, ""lat"": 40.541909757522724, ""attributes"": {""CATTOW"": 1, ""COLOUR"": [1], ""CONVIS"": 1, ""NATCON"": [2], ""SORIND"": ""GB,UKHO,graph,LL M-6621"", ""VERLEN"": 9, ""_cm93_relation20_raw"": 6521}}]"
|
||||
40,6528,2,"{""LIGHTS"": 1, ""TOWERS"": 1}",True,True,"[""TOWERS""]",0.0,True,"[{""feature_id"": 360449, ""source_record_index"": 4777, ""object_class"": ""LIGHTS"", ""native_scale"": 200000, ""lon"": 141.67305804264188, ""lat"": 40.454613089799984, ""attributes"": {""COLOUR"": [4], ""HEIGHT"": 11, ""LITCHR"": 7, ""SIGGRP"": ""(1)"", ""SIGPER"": 4, ""VALNMR"": 4, ""_cm93_relation20_raw"": 6528}}, {""feature_id"": 359976, ""source_record_index"": 4304, ""object_class"": ""TOWERS"", ""native_scale"": 200000, ""lon"": 141.67305804264188, ""lat"": 40.454613089799984, ""attributes"": {""CATTOW"": 1, ""COLOUR"": [1], ""CONVIS"": 1, ""SORIND"": ""GB,UKHO,graph,LL M-6618.4"", ""VERLEN"": 6, ""_cm93_relation20_raw"": 6528}}]"
|
||||
40,6548,2,"{""LIGHTS"": 1, ""TOWERS"": 1}",True,True,"[""TOWERS""]",0.0,True,"[{""feature_id"": 360502, ""source_record_index"": 4830, ""object_class"": ""LIGHTS"", ""native_scale"": 200000, ""lon"": 141.53481130881366, ""lat"": 40.56201499793302, ""attributes"": {""COLOUR"": [4], ""HEIGHT"": 16, ""LITCHR"": 2, ""SIGGRP"": ""(2)"", ""SIGPER"": 6, ""VALNMR"": 6, ""_cm93_relation20_raw"": 6548}}, {""feature_id"": 360036, ""source_record_index"": 4364, ""object_class"": ""TOWERS"", ""native_scale"": 200000, ""lon"": 141.53481130881366, ""lat"": 40.56201499793302, ""attributes"": {""CATTOW"": 1, ""COLOUR"": [1], ""CONVIS"": 1, ""SORIND"": ""GB,UKHO,graph,LL M-6624.85"", ""VERLEN"": 16, ""_cm93_relation20_raw"": 6548}}]"
|
||||
40,6558,2,"{""LIGHTS"": 1, ""TOWERS"": 1}",True,True,"[""TOWERS""]",0.0,True,"[{""feature_id"": 360270, ""source_record_index"": 4598, ""object_class"": ""LIGHTS"", ""native_scale"": 200000, ""lon"": 141.51424214797476, ""lat"": 40.55215044794532, ""attributes"": {""COLOUR"": [4], ""HEIGHT"": 14, ""INFORM"": ""2 fl in 3s"", ""LITCHR"": 2, ""SIGGRP"": ""(2)"", ""SIGPER"": 9, ""VALNMR"": 4, ""_cm93_relation20_raw"": 6558}}, {""feature_id"": 359931, ""source_record_index"": 4259, ""object_class"": ""TOWERS"", ""native_scale"": 200000, ""lon"": 141.51424214797476, ""lat"": 40.55215044794532, ""attributes"": {""CATTOW"": 1, ""COLOUR"": [1], ""CONVIS"": 1, ""NATCON"": [2], ""SORIND"": ""GB,UKHO,graph,LL M-6625.5"", ""VERLEN"": 10, ""_cm93_relation20_raw"": 6558}}]"
|
||||
40,6567,2,"{""LIGHTS"": 1, ""TOWERS"": 1}",True,True,"[""TOWERS""]",0.0,True,"[{""feature_id"": 360291, ""source_record_index"": 4619, ""object_class"": ""LIGHTS"", ""native_scale"": 200000, ""lon"": 141.5765599913472, ""lat"": 40.53922443934611, ""attributes"": {""COLOUR"": [1], ""HEIGHT"": 57, ""LITCHR"": 2, ""SIGGRP"": ""(1)"", ""SIGPER"": 8, ""VALNMR"": 19, ""_cm93_relation20_raw"": 6567}}, {""feature_id"": 359946, ""source_record_index"": 4274, ""object_class"": ""TOWERS"", ""native_scale"": 200000, ""lon"": 141.5765599913472, ""lat"": 40.53922443934611, ""attributes"": {""CATTOW"": 1, ""COLOUR"": [1], ""CONVIS"": 1, ""NATCON"": [2], ""SORIND"": ""GB,UKHO,graph,LL M-6620"", ""VERLEN"": 23, ""_cm93_relation20_raw"": 6567}}]"
|
||||
40,6602,2,"{""BCNLAT"": 1, ""LIGHTS"": 1}",True,True,"[""BCNLAT""]",0.0,True,"[{""feature_id"": 360111, ""source_record_index"": 4439, ""object_class"": ""BCNLAT"", ""native_scale"": 200000, ""lon"": 141.52785319505807, ""lat"": 40.55864373294613, ""attributes"": {""CATLAM"": 2, ""COLMAR"": 3, ""INFORM"": ""Concrete"", ""SORIND"": ""GB,UKHO,graph,LL M-6624.8"", ""VERLEN"": 16, ""_cm93_relation20_raw"": 6602}}, {""feature_id"": 360409, ""source_record_index"": 4737, ""object_class"": ""LIGHTS"", ""native_scale"": 200000, ""lon"": 141.52785319505807, ""lat"": 40.55864373294613, ""attributes"": {""COLOUR"": [3], ""HEIGHT"": 17, ""LITCHR"": 2, ""SIGGRP"": ""(2)"", ""SIGPER"": 9, ""VALNMR"": 5, ""_cm93_relation20_raw"": 6602}}]"
|
||||
40,6620,2,"{""BCNSPP"": 1, ""LIGHTS"": 1}",True,True,"[""BCNSPP""]",0.0,True,"[{""feature_id"": 360212, ""source_record_index"": 4540, ""object_class"": ""BCNSPP"", ""native_scale"": 200000, ""lon"": 141.3592715266989, ""lat"": 40.68775404209214, ""attributes"": {""INFORM"": ""Metal"", ""SORIND"": ""GB,UKHO,graph,LL M-6626"", ""_cm93_relation20_raw"": 6620}}, {""feature_id"": 360256, ""source_record_index"": 4584, ""object_class"": ""LIGHTS"", ""native_scale"": 200000, ""lon"": 141.3592715266989, ""lat"": 40.68775404209214, ""attributes"": {""CATLIT"": 5, ""COLOUR"": [1, 1, 4], ""HEIGHT"": 69, ""INFORM"": ""The white light can be apparent on 8M"", ""LITCHR"": 19, ""SIGGRP"": ""(1)"", ""SIGPER"": 10, ""VALNMR"": 6, ""_cm93_relation20_raw"": 6620}}]"
|
||||
40,6632,2,"{""BCNLAT"": 1, ""LIGHTS"": 1}",True,True,"[""BCNLAT""]",0.0,True,"[{""feature_id"": 360094, ""source_record_index"": 4422, ""object_class"": ""BCNLAT"", ""native_scale"": 200000, ""lon"": 141.54707956201432, ""lat"": 40.53735089780069, ""attributes"": {""CATLAM"": 2, ""COLMAR"": 3, ""INFORM"": ""Metal"", ""SORIND"": ""GB,UKHO,graph,LL M-6623"", ""VERLEN"": 10, ""_cm93_relation20_raw"": 6632}}, {""feature_id"": 360386, ""source_record_index"": 4714, ""object_class"": ""LIGHTS"", ""native_scale"": 200000, ""lon"": 141.54707956201432, ""lat"": 40.53735089780069, ""attributes"": {""COLOUR"": [3], ""HEIGHT"": 14, ""LITCHR"": 2, ""SIGGRP"": ""(1)"", ""SIGPER"": 3, ""VALNMR"": 4, ""_cm93_relation20_raw"": 6632}}]"
|
||||
40,6640,2,"{""BCNLAT"": 1, ""LIGHTS"": 1}",True,True,"[""BCNLAT""]",0.0,True,"[{""feature_id"": 360132, ""source_record_index"": 4460, ""object_class"": ""BCNLAT"", ""native_scale"": 200000, ""lon"": 141.6516343766049, ""lat"": 40.472369069669675, ""attributes"": {""CATLAM"": 2, ""COLMAR"": 3, ""SORIND"": ""GB,UKHO,graph,LL M-6619"", ""VERLEN"": 6, ""_cm93_relation20_raw"": 6640}}, {""feature_id"": 360318, ""source_record_index"": 4646, ""object_class"": ""LIGHTS"", ""native_scale"": 200000, ""lon"": 141.6516343766049, ""lat"": 40.472369069669675, ""attributes"": {""COLOUR"": [3], ""HEIGHT"": 9, ""LITCHR"": 2, ""SIGGRP"": ""(1)"", ""SIGPER"": 3, ""VALNMR"": 4, ""_cm93_relation20_raw"": 6640}}]"
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
693,2256,2,"{""BCNLAT"": 1, ""LIGHTS"": 1}",True,True,"[""BCNLAT""]",0.0,True,"[{""feature_id"": 606473, ""source_record_index"": 1973, ""object_class"": ""BCNLAT"", ""native_scale"": 20000, ""lon"": 141.54682521814877, ""lat"": 40.5377458524923, ""attributes"": {""CATLAM"": 2, ""COLMAR"": 3, ""INFORM"": ""Metal"", ""SORIND"": ""GB,UKHO,graph,LL M-6623"", ""VERLEN"": 10, ""_cm93_relation20_raw"": 2256}}, {""feature_id"": 606505, ""source_record_index"": 2005, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.54682521814877, ""lat"": 40.5377458524923, ""attributes"": {""COLOUR"": [3], ""HEIGHT"": 14, ""LITCHR"": 2, ""SIGGRP"": ""(1)"", ""SIGPER"": 3, ""VALNMR"": 4, ""_cm93_relation20_raw"": 2256}}]"
|
||||
693,2257,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606529, ""source_record_index"": 2029, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.47109979083245, ""lat"": 40.546926016675656, ""attributes"": {""CATLIT"": 5, ""_cm93_relation20_raw"": 2257}}, {""feature_id"": 606727, ""source_record_index"": 2227, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.47109979083245, ""lat"": 40.546926016675656, ""attributes"": {""_cm93_relation20_raw"": 2257}}]"
|
||||
693,2258,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606498, ""source_record_index"": 1998, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.52570164885506, ""lat"": 40.53382127886439, ""attributes"": {""COLOUR"": [4], ""HEIGHT"": 4, ""LITCHR"": 7, ""OBJNAM"": ""L2"", ""SECTR1"": 48, ""SECTR2"": 228, ""SIGGRP"": ""(1)"", ""SIGPER"": 4, ""SORIND"": ""GB,UKHO,graph,LL M-6624.631"", ""VALNMR"": 4, ""_cm93_relation20_raw"": 2258}}, {""feature_id"": 606729, ""source_record_index"": 2229, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.52570164885506, ""lat"": 40.53382127886439, ""attributes"": {""_cm93_relation20_raw"": 2258}}]"
|
||||
693,2259,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606533, ""source_record_index"": 2033, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.49831170889684, ""lat"": 40.55619131837828, ""attributes"": {""STATUS"": [8], ""_cm93_relation20_raw"": 2259}}, {""feature_id"": 606737, ""source_record_index"": 2237, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.49831170889684, ""lat"": 40.55619131837828, ""attributes"": {""_cm93_relation20_raw"": 2259}}]"
|
||||
693,2260,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606515, ""source_record_index"": 2015, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.5075434156794, ""lat"": 40.549081088805, ""attributes"": {""COLOUR"": [6], ""STATUS"": [8], ""_cm93_relation20_raw"": 2260}}, {""feature_id"": 606720, ""source_record_index"": 2220, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.5075434156794, ""lat"": 40.549081088805, ""attributes"": {""_cm93_relation20_raw"": 2260}}]"
|
||||
693,2261,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606524, ""source_record_index"": 2024, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.52826516412694, ""lat"": 40.54623983528677, ""attributes"": {""COLOUR"": [6], ""STATUS"": [8], ""_cm93_relation20_raw"": 2261}}, {""feature_id"": 606733, ""source_record_index"": 2233, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.52826516412694, ""lat"": 40.54623983528677, ""attributes"": {""_cm93_relation20_raw"": 2261}}]"
|
||||
693,2262,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606516, ""source_record_index"": 2016, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.51800601669967, ""lat"": 40.54032821853955, ""attributes"": {""COLOUR"": [6], ""STATUS"": [8], ""_cm93_relation20_raw"": 2262}}, {""feature_id"": 606716, ""source_record_index"": 2216, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.51800601669967, ""lat"": 40.54032821853955, ""attributes"": {""_cm93_relation20_raw"": 2262}}]"
|
||||
693,2263,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606495, ""source_record_index"": 1995, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.52535069140714, ""lat"": 40.53333831674283, ""attributes"": {""COLOUR"": [3], ""HEIGHT"": 5, ""LITCHR"": 7, ""OBJNAM"": ""R1"", ""SECTR1"": 228, ""SECTR2"": 48, ""SIGGRP"": ""(1)"", ""SIGPER"": 4, ""SORIND"": ""GB,UKHO,graph,LL M-6624.64"", ""VALNMR"": 4, ""_cm93_relation20_raw"": 2263}}, {""feature_id"": 606728, ""source_record_index"": 2228, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.52535069140714, ""lat"": 40.53333831674283, ""attributes"": {""_cm93_relation20_raw"": 2263}}]"
|
||||
693,2264,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606518, ""source_record_index"": 2018, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.56030401868534, ""lat"": 40.544648883984316, ""attributes"": {""COLOUR"": [6], ""STATUS"": [8], ""_cm93_relation20_raw"": 2264}}, {""feature_id"": 606717, ""source_record_index"": 2217, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.56030401868534, ""lat"": 40.544648883984316, ""attributes"": {""_cm93_relation20_raw"": 2264}}]"
|
||||
693,2265,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606497, ""source_record_index"": 1997, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.52588984342862, ""lat"": 40.53368910010344, ""attributes"": {""COLOUR"": [4], ""HEIGHT"": 4, ""LITCHR"": 7, ""OBJNAM"": ""L1"", ""SECTR1"": 228, ""SECTR2"": 48, ""SIGGRP"": ""(1)"", ""SIGPER"": 4, ""SORIND"": ""GB,UKHO,graph,LL M-6624.63"", ""VALNMR"": 4, ""_cm93_relation20_raw"": 2265}}, {""feature_id"": 606735, ""source_record_index"": 2235, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.52588984342862, ""lat"": 40.53368910010344, ""attributes"": {""_cm93_relation20_raw"": 2265}}]"
|
||||
693,2266,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606493, ""source_record_index"": 1993, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.52561518107802, ""lat"": 40.53350099910942, ""attributes"": {""COLOUR"": [1], ""HEIGHT"": 5, ""LITCHR"": 7, ""OBJNAM"": ""C1"", ""SECTR1"": 228, ""SECTR2"": 48, ""SIGGRP"": ""(1)"", ""SIGPER"": 4, ""SORIND"": ""GB,UKHO,graph,LL M-6624.62"", ""VALNMR"": 6, ""_cm93_relation20_raw"": 2266}}, {""feature_id"": 606726, ""source_record_index"": 2226, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.52561518107802, ""lat"": 40.53350099910942, ""attributes"": {""_cm93_relation20_raw"": 2266}}]"
|
||||
693,2267,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606500, ""source_record_index"": 2000, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.52294485266987, ""lat"": 40.53044047091052, ""attributes"": {""COLOUR"": [1], ""HEIGHT"": 31, ""LITCHR"": 1, ""OBJNAM"": ""C1"", ""SORIND"": ""GB,UKHO,graph,LL M-6624.5"", ""VALNMR"": 6, ""_cm93_relation20_raw"": 2267}}, {""feature_id"": 606730, ""source_record_index"": 2230, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.52294485266987, ""lat"": 40.53044047091052, ""attributes"": {""_cm93_relation20_raw"": 2267}}]"
|
||||
693,2268,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606521, ""source_record_index"": 2021, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.52094592111857, ""lat"": 40.55528669920913, ""attributes"": {""COLOUR"": [6], ""STATUS"": [8], ""_cm93_relation20_raw"": 2268}}, {""feature_id"": 606732, ""source_record_index"": 2232, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.52094592111857, ""lat"": 40.55528669920913, ""attributes"": {""_cm93_relation20_raw"": 2268}}]"
|
||||
693,2269,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606522, ""source_record_index"": 2022, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.50160257076368, ""lat"": 40.552715074589145, ""attributes"": {""COLOUR"": [6], ""STATUS"": [8], ""_cm93_relation20_raw"": 2269}}, {""feature_id"": 606722, ""source_record_index"": 2222, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.50160257076368, ""lat"": 40.552715074589145, ""attributes"": {""_cm93_relation20_raw"": 2269}}]"
|
||||
693,2270,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606494, ""source_record_index"": 1994, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.5254269865045, ""lat"": 40.53363317824145, ""attributes"": {""COLOUR"": [1], ""HEIGHT"": 5, ""LITCHR"": 7, ""OBJNAM"": ""C2"", ""SECTR1"": 48, ""SECTR2"": 228, ""SIGGRP"": ""(1)"", ""SIGPER"": 4, ""SORIND"": ""GB,UKHO,graph,LL M-6624.621"", ""VALNMR"": 6, ""_cm93_relation20_raw"": 2270}}, {""feature_id"": 606719, ""source_record_index"": 2219, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.5254269865045, ""lat"": 40.53363317824145, ""attributes"": {""_cm93_relation20_raw"": 2270}}]"
|
||||
693,2271,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606513, ""source_record_index"": 2013, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.53291407872706, ""lat"": 40.54241742215959, ""attributes"": {""COLOUR"": [3], ""STATUS"": [8], ""_cm93_relation20_raw"": 2271}}, {""feature_id"": 606731, ""source_record_index"": 2231, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.53291407872706, ""lat"": 40.54241742215959, ""attributes"": {""_cm93_relation20_raw"": 2271}}]"
|
||||
693,2272,2,"{""BCNLAT"": 1, ""LIGHTS"": 1}",True,True,"[""BCNLAT""]",0.0,True,"[{""feature_id"": 606476, ""source_record_index"": 1976, ""object_class"": ""BCNLAT"", ""native_scale"": 20000, ""lon"": 141.52043728713608, ""lat"": 40.53762384848427, ""attributes"": {""CATLAM"": 2, ""COLMAR"": 3, ""SORIND"": ""GB,UKHO,graph,LL M-6624.7"", ""VERLEN"": 9, ""_cm93_relation20_raw"": 2272}}, {""feature_id"": 606503, ""source_record_index"": 2003, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.52043728713608, ""lat"": 40.53762384848427, ""attributes"": {""COLOUR"": [3], ""HEIGHT"": 12, ""LITCHR"": 2, ""SIGGRP"": ""(1)"", ""SIGPER"": 3, ""VALNMR"": 3, ""_cm93_relation20_raw"": 2272}}]"
|
||||
693,2273,2,"{""BCNLAT"": 1, ""LIGHTS"": 1}",True,True,"[""BCNLAT""]",0.0,True,"[{""feature_id"": 606475, ""source_record_index"": 1975, ""object_class"": ""BCNLAT"", ""native_scale"": 20000, ""lon"": 141.53323451813606, ""lat"": 40.53630720776126, ""attributes"": {""CATLAM"": 2, ""COLMAR"": 3, ""SORIND"": ""GB,UKHO,graph,LL M-6623.6"", ""VERLEN"": 9, ""_cm93_relation20_raw"": 2273}}, {""feature_id"": 606504, ""source_record_index"": 2004, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.53323451813606, ""lat"": 40.53630720776126, ""attributes"": {""COLOUR"": [3], ""HEIGHT"": 12, ""LITCHR"": 2, ""SIGGRP"": ""(1)"", ""SIGPER"": 5, ""VALNMR"": 7, ""_cm93_relation20_raw"": 2273}}]"
|
||||
693,2274,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606514, ""source_record_index"": 2014, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.52411979716945, ""lat"": 40.545101266953736, ""attributes"": {""COLOUR"": [4], ""STATUS"": [8], ""_cm93_relation20_raw"": 2274}}, {""feature_id"": 606723, ""source_record_index"": 2223, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.52411979716945, ""lat"": 40.545101266953736, ""attributes"": {""_cm93_relation20_raw"": 2274}}]"
|
||||
693,2275,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606512, ""source_record_index"": 2012, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.53280217925092, ""lat"": 40.535966605369474, ""attributes"": {""COLOUR"": [3], ""STATUS"": [8], ""_cm93_relation20_raw"": 2275}}, {""feature_id"": 606721, ""source_record_index"": 2221, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.53280217925092, ""lat"": 40.535966605369474, ""attributes"": {""_cm93_relation20_raw"": 2275}}]"
|
||||
693,2276,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606496, ""source_record_index"": 1996, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.5251777558531, ""lat"": 40.5334501609123, ""attributes"": {""COLOUR"": [3], ""HEIGHT"": 5, ""LITCHR"": 7, ""OBJNAM"": ""R2"", ""SECTR1"": 48, ""SECTR2"": 228, ""SIGGRP"": ""(1)"", ""SIGPER"": 4, ""SORIND"": ""GB,UKHO,graph,LL M-6624.641"", ""VALNMR"": 4, ""_cm93_relation20_raw"": 2276}}, {""feature_id"": 606725, ""source_record_index"": 2225, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.5251777558531, ""lat"": 40.5334501609123, ""attributes"": {""_cm93_relation20_raw"": 2276}}]"
|
||||
693,2277,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606523, ""source_record_index"": 2023, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.4824321559628, ""lat"": 40.58365441116841, ""attributes"": {""COLOUR"": [6], ""STATUS"": [8], ""_cm93_relation20_raw"": 2277}}, {""feature_id"": 606724, ""source_record_index"": 2224, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.4824321559628, ""lat"": 40.58365441116841, ""attributes"": {""_cm93_relation20_raw"": 2277}}]"
|
||||
693,2278,2,"{""LIGHTS"": 1, ""_extgn"": 1}",True,True,"[""_extgn""]",0.0,True,"[{""feature_id"": 606520, ""source_record_index"": 2020, ""object_class"": ""LIGHTS"", ""native_scale"": 20000, ""lon"": 141.54953623727556, ""lat"": 40.549818066898325, ""attributes"": {""COLOUR"": [6], ""STATUS"": [8], ""_cm93_relation20_raw"": 2278}}, {""feature_id"": 606734, ""source_record_index"": 2234, ""object_class"": ""_extgn"", ""native_scale"": 20000, ""lon"": 141.54953623727556, ""lat"": 40.549818066898325, ""attributes"": {""_cm93_relation20_raw"": 2278}}]"
|
||||
|
546
cm95_nav_name_candidate_audit_v1.py
Normal file
546
cm95_nav_name_candidate_audit_v1.py
Normal file
@@ -0,0 +1,546 @@
|
||||
#!/usr/bin/env python3
|
||||
# -*- coding: utf-8 -*-
|
||||
r"""
|
||||
CM95 / CM93 助航名称候选审计 v1
|
||||
|
||||
目的
|
||||
====
|
||||
为 CM95→NavSea `navigation_marks.chart_label_text` 找到可审计的 CM95 自有名称来源，
|
||||
不使用 NEWPEC/reference PBF 名称反灌。
|
||||
|
||||
默认检查第一测试 AOI：
|
||||
z10/914/385
|
||||
lon 141.328125 .. 141.6796875
|
||||
lat 40.44694705960049 .. 40.71395582628604
|
||||
默认重点比例尺：
|
||||
1:200000
|
||||
|
||||
候选来源：
|
||||
1. 助航组件自身 OBJNAM / NOBJNM；
|
||||
2. 同 cell、同 native_scale 的 `_texto._texta.text`；
|
||||
3. 同 native_scale、邻近 cell 的 `_texto._texta.text`，仅作为低置信参考。
|
||||
|
||||
关联原则：
|
||||
- 助航组件仍然用 `(cell_id, _cm93_relation20_raw)` 合成；
|
||||
- 本脚本只审计名称，不改变 relation20 合成规则；
|
||||
- 不自动把最近文字当名称；
|
||||
- 输出距离和来源，由下一步确定安全规则。
|
||||
|
||||
输出：
|
||||
cm95_nav_name_candidates_v1.json
|
||||
cm95_nav_name_candidates_v1.csv
|
||||
cm95_nav_name_candidates_v1.txt
|
||||
|
||||
执行：
|
||||
python .\tools\cm95_nav_name_candidate_audit_v1.py `
|
||||
--host 127.0.0.1 `
|
||||
--port 3306 `
|
||||
--user root `
|
||||
--database cm93_chart `
|
||||
--dataset-id 1 `
|
||||
--native-scale 200000
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import csv
|
||||
import getpass
|
||||
import json
|
||||
import math
|
||||
from collections import defaultdict
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
import pymysql
|
||||
from pymysql.cursors import DictCursor
|
||||
|
||||
|
||||
NAV_CLASSES = {
|
||||
"LIGHTS",
|
||||
"BCNLAT",
|
||||
"BCNSPP",
|
||||
"BOYSPP",
|
||||
"RTPBCN",
|
||||
"TOWERS",
|
||||
"_extgn",
|
||||
"SISTAT",
|
||||
"SISTAW",
|
||||
}
|
||||
|
||||
DIRECT_NAME_KEYS = (
|
||||
"OBJNAM",
|
||||
"NOBJNM",
|
||||
)
|
||||
|
||||
DEFAULT_BBOX = (
|
||||
141.328125,
|
||||
40.44694705960049,
|
||||
141.6796875,
|
||||
40.71395582628604,
|
||||
)
|
||||
|
||||
|
||||
def parse_args():
|
||||
p = argparse.ArgumentParser()
|
||||
p.add_argument("--host", default="127.0.0.1")
|
||||
p.add_argument("--port", type=int, default=3306)
|
||||
p.add_argument("--user", default="root")
|
||||
p.add_argument("--password", default=None)
|
||||
p.add_argument("--database", default="cm93_chart")
|
||||
p.add_argument("--dataset-id", type=int, default=1)
|
||||
p.add_argument("--native-scale", type=int, default=200000)
|
||||
p.add_argument("--min-lon", type=float, default=DEFAULT_BBOX[0])
|
||||
p.add_argument("--min-lat", type=float, default=DEFAULT_BBOX[1])
|
||||
p.add_argument("--max-lon", type=float, default=DEFAULT_BBOX[2])
|
||||
p.add_argument("--max-lat", type=float, default=DEFAULT_BBOX[3])
|
||||
p.add_argument(
|
||||
"--radius-m",
|
||||
type=float,
|
||||
default=800.0,
|
||||
help="每个助航对象保存的文字候选搜索半径",
|
||||
)
|
||||
p.add_argument(
|
||||
"--candidate-limit",
|
||||
type=int,
|
||||
default=12,
|
||||
)
|
||||
p.add_argument("--output-dir", default=".")
|
||||
return p.parse_args()
|
||||
|
||||
|
||||
def json_dict(value: Any) -> dict[str, Any]:
|
||||
if value is None:
|
||||
return {}
|
||||
if isinstance(value, dict):
|
||||
return value
|
||||
if isinstance(value, (bytes, bytearray, memoryview)):
|
||||
value = bytes(value).decode("utf-8", "replace")
|
||||
try:
|
||||
obj = json.loads(value)
|
||||
except Exception:
|
||||
return {}
|
||||
return obj if isinstance(obj, dict) else {}
|
||||
|
||||
|
||||
def relation20(attrs: dict[str, Any]):
|
||||
value = attrs.get("_cm93_relation20_raw")
|
||||
if value is None:
|
||||
return None
|
||||
try:
|
||||
return int(value)
|
||||
except Exception:
|
||||
return str(value)
|
||||
|
||||
|
||||
def texta(attrs: dict[str, Any]):
|
||||
value = attrs.get("_texta")
|
||||
if not isinstance(value, dict):
|
||||
return None, None
|
||||
text = value.get("text")
|
||||
prefix = value.get("prefix")
|
||||
if text is None:
|
||||
return None, prefix
|
||||
text = str(text).strip()
|
||||
return (text or None), prefix
|
||||
|
||||
|
||||
def direct_names(attrs: dict[str, Any]):
|
||||
out = []
|
||||
for key in DIRECT_NAME_KEYS:
|
||||
value = attrs.get(key)
|
||||
if isinstance(value, str) and value.strip():
|
||||
out.append({
|
||||
"field": key,
|
||||
"text": value.strip(),
|
||||
})
|
||||
return out
|
||||
|
||||
|
||||
def haversine_m(lon1, lat1, lon2, lat2):
|
||||
r = 6371008.8
|
||||
p1 = math.radians(lat1)
|
||||
p2 = math.radians(lat2)
|
||||
dp = p2 - p1
|
||||
dl = math.radians(lon2 - lon1)
|
||||
a = (
|
||||
math.sin(dp / 2) ** 2
|
||||
+ math.cos(p1) * math.cos(p2)
|
||||
* math.sin(dl / 2) ** 2
|
||||
)
|
||||
return 2 * r * math.asin(min(1.0, math.sqrt(a)))
|
||||
|
||||
|
||||
def write_csv(path: Path, rows):
|
||||
rows = list(rows)
|
||||
fields = [
|
||||
"cell_id",
|
||||
"source_relative_path",
|
||||
"native_scale",
|
||||
"relation20",
|
||||
"lon",
|
||||
"lat",
|
||||
"component_classes",
|
||||
"component_source_record_indices",
|
||||
"direct_names",
|
||||
"nearest_same_cell_text",
|
||||
"nearest_same_cell_distance_m",
|
||||
"nearest_any_cell_text",
|
||||
"nearest_any_cell_distance_m",
|
||||
"same_cell_candidate_count",
|
||||
"all_candidate_count",
|
||||
"candidate_summary",
|
||||
]
|
||||
with path.open("w", encoding="utf-8-sig", newline="") as f:
|
||||
w = csv.DictWriter(f, fieldnames=fields)
|
||||
w.writeheader()
|
||||
for row in rows:
|
||||
out = dict(row)
|
||||
for key in (
|
||||
"component_classes",
|
||||
"component_source_record_indices",
|
||||
"direct_names",
|
||||
"candidate_summary",
|
||||
):
|
||||
out[key] = json.dumps(
|
||||
out.get(key),
|
||||
ensure_ascii=False,
|
||||
separators=(",", ":"),
|
||||
)
|
||||
w.writerow(out)
|
||||
|
||||
|
||||
def main():
|
||||
a = parse_args()
|
||||
if a.password is None:
|
||||
a.password = getpass.getpass("MySQL password: ")
|
||||
|
||||
outdir = Path(a.output_dir).resolve()
|
||||
outdir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
conn = pymysql.connect(
|
||||
host=a.host,
|
||||
port=a.port,
|
||||
user=a.user,
|
||||
password=a.password,
|
||||
database=a.database,
|
||||
charset="utf8mb4",
|
||||
cursorclass=DictCursor,
|
||||
autocommit=False,
|
||||
connect_timeout=20,
|
||||
read_timeout=900,
|
||||
)
|
||||
|
||||
nav_rows = []
|
||||
text_rows = []
|
||||
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
try:
|
||||
cur.execute("SET SESSION TRANSACTION READ ONLY")
|
||||
except Exception:
|
||||
pass
|
||||
try:
|
||||
cur.execute("START TRANSACTION READ ONLY")
|
||||
except Exception:
|
||||
cur.execute("START TRANSACTION")
|
||||
|
||||
placeholders = ",".join(["%s"] * len(NAV_CLASSES))
|
||||
cur.execute(
|
||||
f"""
|
||||
SELECT
|
||||
f.id AS feature_id,
|
||||
f.cell_id,
|
||||
c.source_relative_path,
|
||||
f.source_record_index,
|
||||
f.object_class,
|
||||
f.native_scale,
|
||||
f.bbox_min_lon AS lon,
|
||||
f.bbox_min_lat AS lat,
|
||||
f.attributes_json
|
||||
FROM chart_feature f
|
||||
JOIN chart_cell c ON c.id=f.cell_id
|
||||
WHERE f.dataset_id=%s
|
||||
AND f.native_scale=%s
|
||||
AND f.geometry_type='POINT'
|
||||
AND f.object_class IN ({placeholders})
|
||||
AND f.bbox_min_lon BETWEEN %s AND %s
|
||||
AND f.bbox_min_lat BETWEEN %s AND %s
|
||||
ORDER BY
|
||||
f.cell_id,
|
||||
f.source_record_index
|
||||
""",
|
||||
(
|
||||
a.dataset_id,
|
||||
a.native_scale,
|
||||
*sorted(NAV_CLASSES),
|
||||
a.min_lon,
|
||||
a.max_lon,
|
||||
a.min_lat,
|
||||
a.max_lat,
|
||||
),
|
||||
)
|
||||
nav_rows = list(cur.fetchall())
|
||||
|
||||
# 扩大少量边界，避免 tile 边缘的文字候选被切掉。
|
||||
lat_pad = a.radius_m / 111320.0
|
||||
mid_lat = (a.min_lat + a.max_lat) / 2.0
|
||||
lon_pad = (
|
||||
a.radius_m
|
||||
/ max(1.0, 111320.0 * math.cos(math.radians(mid_lat)))
|
||||
)
|
||||
|
||||
cur.execute(
|
||||
"""
|
||||
SELECT
|
||||
f.id AS feature_id,
|
||||
f.cell_id,
|
||||
c.source_relative_path,
|
||||
f.source_record_index,
|
||||
f.native_scale,
|
||||
f.bbox_min_lon AS lon,
|
||||
f.bbox_min_lat AS lat,
|
||||
f.attributes_json
|
||||
FROM chart_feature f
|
||||
JOIN chart_cell c ON c.id=f.cell_id
|
||||
WHERE f.dataset_id=%s
|
||||
AND f.native_scale=%s
|
||||
AND f.geometry_type='POINT'
|
||||
AND f.object_class='_texto'
|
||||
AND f.bbox_min_lon BETWEEN %s AND %s
|
||||
AND f.bbox_min_lat BETWEEN %s AND %s
|
||||
ORDER BY
|
||||
f.cell_id,
|
||||
f.source_record_index
|
||||
""",
|
||||
(
|
||||
a.dataset_id,
|
||||
a.native_scale,
|
||||
a.min_lon - lon_pad,
|
||||
a.max_lon + lon_pad,
|
||||
a.min_lat - lat_pad,
|
||||
a.max_lat + lat_pad,
|
||||
),
|
||||
)
|
||||
text_rows = list(cur.fetchall())
|
||||
|
||||
conn.rollback()
|
||||
finally:
|
||||
conn.close()
|
||||
|
||||
for row in nav_rows:
|
||||
row["attributes"] = json_dict(row.pop("attributes_json"))
|
||||
row["relation20"] = relation20(row["attributes"])
|
||||
row["lon"] = float(row["lon"])
|
||||
row["lat"] = float(row["lat"])
|
||||
|
||||
parsed_text = []
|
||||
for row in text_rows:
|
||||
attrs = json_dict(row.pop("attributes_json"))
|
||||
text, prefix = texta(attrs)
|
||||
if not text:
|
||||
continue
|
||||
parsed_text.append({
|
||||
"feature_id": int(row["feature_id"]),
|
||||
"cell_id": int(row["cell_id"]),
|
||||
"source_relative_path": str(row["source_relative_path"]),
|
||||
"source_record_index": int(row["source_record_index"]),
|
||||
"native_scale": int(row["native_scale"]),
|
||||
"lon": float(row["lon"]),
|
||||
"lat": float(row["lat"]),
|
||||
"text": text,
|
||||
"prefix": prefix,
|
||||
})
|
||||
|
||||
groups = defaultdict(list)
|
||||
standalone = []
|
||||
|
||||
for row in nav_rows:
|
||||
rel = row["relation20"]
|
||||
if rel is None:
|
||||
standalone.append([row])
|
||||
else:
|
||||
groups[(int(row["cell_id"]), rel)].append(row)
|
||||
|
||||
nav_groups = list(groups.values()) + standalone
|
||||
|
||||
results = []
|
||||
|
||||
for members in nav_groups:
|
||||
# relation20 组成员已由上一步证明同址；
|
||||
# standalone 则只有一条。
|
||||
lon = sum(m["lon"] for m in members) / len(members)
|
||||
lat = sum(m["lat"] for m in members) / len(members)
|
||||
cell_id = int(members[0]["cell_id"])
|
||||
source_path = str(members[0]["source_relative_path"])
|
||||
rel = members[0]["relation20"]
|
||||
|
||||
strong_names = []
|
||||
for m in members:
|
||||
for n in direct_names(m["attributes"]):
|
||||
strong_names.append({
|
||||
"object_class": m["object_class"],
|
||||
"source_record_index": m["source_record_index"],
|
||||
**n,
|
||||
})
|
||||
|
||||
candidates = []
|
||||
for t in parsed_text:
|
||||
distance = haversine_m(
|
||||
lon,
|
||||
lat,
|
||||
t["lon"],
|
||||
t["lat"],
|
||||
)
|
||||
if distance > a.radius_m:
|
||||
continue
|
||||
candidates.append({
|
||||
**t,
|
||||
"same_cell": t["cell_id"] == cell_id,
|
||||
"distance_m": round(distance, 2),
|
||||
})
|
||||
|
||||
candidates.sort(
|
||||
key=lambda c: (
|
||||
not c["same_cell"],
|
||||
c["distance_m"],
|
||||
c["text"],
|
||||
)
|
||||
)
|
||||
|
||||
same_cell = [
|
||||
c for c in candidates if c["same_cell"]
|
||||
]
|
||||
|
||||
nearest_same = same_cell[0] if same_cell else None
|
||||
nearest_any = (
|
||||
min(candidates, key=lambda c: c["distance_m"])
|
||||
if candidates
|
||||
else None
|
||||
)
|
||||
|
||||
results.append({
|
||||
"cell_id": cell_id,
|
||||
"source_relative_path": source_path,
|
||||
"native_scale": a.native_scale,
|
||||
"relation20": rel,
|
||||
"lon": lon,
|
||||
"lat": lat,
|
||||
"component_classes": [
|
||||
m["object_class"] for m in members
|
||||
],
|
||||
"component_source_record_indices": [
|
||||
int(m["source_record_index"]) for m in members
|
||||
],
|
||||
"direct_names": strong_names,
|
||||
"nearest_same_cell_text": (
|
||||
nearest_same["text"] if nearest_same else None
|
||||
),
|
||||
"nearest_same_cell_distance_m": (
|
||||
nearest_same["distance_m"] if nearest_same else None
|
||||
),
|
||||
"nearest_any_cell_text": (
|
||||
nearest_any["text"] if nearest_any else None
|
||||
),
|
||||
"nearest_any_cell_distance_m": (
|
||||
nearest_any["distance_m"] if nearest_any else None
|
||||
),
|
||||
"same_cell_candidate_count": len(same_cell),
|
||||
"all_candidate_count": len(candidates),
|
||||
"candidate_summary": candidates[: a.candidate_limit],
|
||||
})
|
||||
|
||||
results.sort(
|
||||
key=lambda r: (
|
||||
r["cell_id"],
|
||||
-1 if r["relation20"] is None else r["relation20"],
|
||||
r["lon"],
|
||||
r["lat"],
|
||||
)
|
||||
)
|
||||
|
||||
direct_named = sum(
|
||||
1 for r in results if r["direct_names"]
|
||||
)
|
||||
same_100 = sum(
|
||||
1
|
||||
for r in results
|
||||
if r["nearest_same_cell_distance_m"] is not None
|
||||
and r["nearest_same_cell_distance_m"] <= 100.0
|
||||
)
|
||||
same_250 = sum(
|
||||
1
|
||||
for r in results
|
||||
if r["nearest_same_cell_distance_m"] is not None
|
||||
and r["nearest_same_cell_distance_m"] <= 250.0
|
||||
)
|
||||
|
||||
report = {
|
||||
"schema": "navsea.cm95.nav-name-candidate-audit/v1",
|
||||
"generated_at": datetime.now().isoformat(timespec="seconds"),
|
||||
"dataset_id": a.dataset_id,
|
||||
"native_scale": a.native_scale,
|
||||
"aoi_bbox": [
|
||||
a.min_lon,
|
||||
a.min_lat,
|
||||
a.max_lon,
|
||||
a.max_lat,
|
||||
],
|
||||
"search_radius_m": a.radius_m,
|
||||
"counts": {
|
||||
"nav_component_rows": len(nav_rows),
|
||||
"nav_groups": len(results),
|
||||
"texto_rows_with_text": len(parsed_text),
|
||||
"groups_with_direct_OBJNAM_or_NOBJNM": direct_named,
|
||||
"groups_with_same_cell_text_within_100m": same_100,
|
||||
"groups_with_same_cell_text_within_250m": same_250,
|
||||
},
|
||||
"groups": results,
|
||||
"decision": (
|
||||
"DATA_READY_FOR_NAME_ASSOCIATION_REVIEW"
|
||||
if results
|
||||
else "NO_NAV_GROUPS"
|
||||
),
|
||||
}
|
||||
|
||||
json_path = outdir / "cm95_nav_name_candidates_v1.json"
|
||||
csv_path = outdir / "cm95_nav_name_candidates_v1.csv"
|
||||
txt_path = outdir / "cm95_nav_name_candidates_v1.txt"
|
||||
|
||||
json_path.write_text(
|
||||
json.dumps(
|
||||
report,
|
||||
ensure_ascii=False,
|
||||
indent=2,
|
||||
default=str,
|
||||
),
|
||||
encoding="utf-8",
|
||||
)
|
||||
write_csv(csv_path, results)
|
||||
|
||||
lines = [
|
||||
"CM95 / CM93 助航名称候选审计 v1",
|
||||
"=" * 76,
|
||||
f"Native scale : {a.native_scale}",
|
||||
f"Nav component rows : {len(nav_rows)}",
|
||||
f"Nav groups : {len(results)}",
|
||||
f"_texto rows with text : {len(parsed_text)}",
|
||||
f"Groups with direct OBJNAM/NOBJNM : {direct_named}",
|
||||
f"Same-cell text <=100m : {same_100}",
|
||||
f"Same-cell text <=250m : {same_250}",
|
||||
"",
|
||||
"注意：最近文字只是候选，不代表自动确定为助航名称。",
|
||||
"下一步由映射审计决定哪些关系可安全写入 chart_label_text。",
|
||||
]
|
||||
txt_path.write_text("\n".join(lines), encoding="utf-8")
|
||||
|
||||
print("\n".join(lines))
|
||||
print("")
|
||||
print(json_path)
|
||||
print(csv_path)
|
||||
print(txt_path)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
18
cm95_nav_name_candidates_v1.csv
Normal file
18
cm95_nav_name_candidates_v1.csv
Normal file
@@ -0,0 +1,18 @@
|
||||
cell_id,source_relative_path,native_scale,relation20,lon,lat,component_classes,component_source_record_indices,direct_names,nearest_same_cell_text,nearest_same_cell_distance_m,nearest_any_cell_text,nearest_any_cell_distance_m,same_cell_candidate_count,all_candidate_count,candidate_summary
|
||||
40,03900420\C\03900420.C,200000,,141.65804316559033,40.467367860055134,"[""LIGHTS""]",[4877],[],,,,,0,0,[]
|
||||
40,03900420\C\03900420.C,200000,6486,141.53481130881366,40.56513638820441,"[""TOWERS"",""LIGHTS""]","[4300,4741]",[],,,,,0,0,[]
|
||||
40,03900420\C\03900420.C,200000,6501,141.43965605140164,40.68046315791786,"[""TOWERS"",""LIGHTS""]","[4325,4781]",[],,,,,0,0,[]
|
||||
40,03900420\C\03900420.C,200000,6510,141.6269147619469,40.49949414054503,"[""TOWERS"",""LIGHTS""]","[4291,4747]",[],,,,,0,0,[]
|
||||
40,03900420\C\03900420.C,200000,6521,141.5676487228532,40.541909757522724,"[""TOWERS"",""LIGHTS""]","[4246,4842]",[],,,,,0,0,[]
|
||||
40,03900420\C\03900420.C,200000,6528,141.67305804264188,40.454613089799984,"[""TOWERS"",""LIGHTS""]","[4304,4777]",[],,,,,0,0,[]
|
||||
40,03900420\C\03900420.C,200000,6548,141.53481130881366,40.56201499793302,"[""TOWERS"",""LIGHTS""]","[4364,4830]",[],,,,,0,0,[]
|
||||
40,03900420\C\03900420.C,200000,6558,141.51424214797476,40.55215044794532,"[""TOWERS"",""LIGHTS""]","[4259,4598]",[],,,,,0,0,[]
|
||||
40,03900420\C\03900420.C,200000,6567,141.5765599913472,40.53922443934611,"[""TOWERS"",""LIGHTS""]","[4274,4619]",[],Same Kado,528.84,Same Kado,528.84,1,1,"[{""feature_id"":361674,""cell_id"":40,""source_relative_path"":""03900420\\C\\03900420.C"",""source_record_index"":6002,""native_scale"":200000,""lon"":141.58071044516635,""lat"":40.54278402393275,""text"":""Same Kado"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":528.84}]"
|
||||
40,03900420\C\03900420.C,200000,6602,141.52785319505807,40.55864373294613,"[""BCNLAT"",""LIGHTS""]","[4439,4737]",[],,,,,0,0,[]
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||||
40,03900420\C\03900420.C,200000,6620,141.3592715266989,40.68775404209214,"[""BCNSPP"",""LIGHTS""]","[4540,4584]",[],,,,,0,0,[]
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||||
40,03900420\C\03900420.C,200000,6632,141.54707956201432,40.53735089780069,"[""BCNLAT"",""LIGHTS""]","[4422,4714]",[],,,,,0,0,[]
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||||
40,03900420\C\03900420.C,200000,6640,141.6516343766049,40.472369069669675,"[""BCNLAT"",""LIGHTS""]","[4460,4646]",[],,,,,0,0,[]
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||||
40,03900420\C\03900420.C,200000,6657,141.5203457565323,40.53735089780069,"[""BCNLAT"",""LIGHTS""]","[4492,4673]",[],,,,,0,0,[]
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40,03900420\C\03900420.C,200000,6663,141.53426198404347,40.53797541747083,"[""BCNSPP"",""LIGHTS""]","[4538,4784]",[],,,,,0,0,[]
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||||
40,03900420\C\03900420.C,200000,6691,141.55232866537378,40.533978390984394,"[""BCNLAT"",""LIGHTS""]","[4500,4670]",[],,,,,0,0,[]
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||||
40,03900420\C\03900420.C,200000,6720,141.47084549113066,40.54653075073066,"[""BCNSPP"",""LIGHTS""]","[4539,4839]",[],,,,,0,0,[]
|
||||
|
448
cm95_nav_name_candidates_v1.json
Normal file
448
cm95_nav_name_candidates_v1.json
Normal file
@@ -0,0 +1,448 @@
|
||||
{
|
||||
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||||
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||||
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||||
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||||
"candidate_summary": []
|
||||
}
|
||||
],
|
||||
"decision": "DATA_READY_FOR_NAME_ASSOCIATION_REVIEW"
|
||||
}
|
||||
12
cm95_nav_name_candidates_v1.txt
Normal file
12
cm95_nav_name_candidates_v1.txt
Normal file
@@ -0,0 +1,12 @@
|
||||
CM95 / CM93 助航名称候选审计 v1
|
||||
============================================================================
|
||||
Native scale : 200000
|
||||
Nav component rows : 33
|
||||
Nav groups : 17
|
||||
_texto rows with text : 16
|
||||
Groups with direct OBJNAM/NOBJNM : 0
|
||||
Same-cell text <=100m : 0
|
||||
Same-cell text <=250m : 0
|
||||
|
||||
注意：最近文字只是候选，不代表自动确定为助航名称。
|
||||
下一步由映射审计决定哪些关系可安全写入 chart_label_text。
|
||||
10329
cm95_nav_name_multiscale_audit_v2.json
Normal file
10329
cm95_nav_name_multiscale_audit_v2.json
Normal file
File diff suppressed because it is too large
Load Diff
36
cm95_nav_name_multiscale_audit_v2.txt
Normal file
36
cm95_nav_name_multiscale_audit_v2.txt
Normal file
@@ -0,0 +1,36 @@
|
||||
CM95 / CM93 助航名称多尺度与显式关系审计 v2
|
||||
==================================================================================
|
||||
Dataset ID : 1
|
||||
Scales : 20000,50000,200000
|
||||
Nav component rows : 227
|
||||
Nav groups : 136
|
||||
_texto rows : 110
|
||||
|
||||
1:20000
|
||||
groups : 62
|
||||
direct names : 7
|
||||
explicit text relation: 0
|
||||
same-cell <= 50m : 0
|
||||
same-cell <= 100m : 0
|
||||
same-cell <= 250m : 15
|
||||
|
||||
1:50000
|
||||
groups : 57
|
||||
direct names : 0
|
||||
explicit text relation: 0
|
||||
same-cell <= 50m : 0
|
||||
same-cell <= 100m : 2
|
||||
same-cell <= 250m : 10
|
||||
|
||||
1:200000
|
||||
groups : 17
|
||||
direct names : 0
|
||||
explicit text relation: 0
|
||||
same-cell <= 50m : 0
|
||||
same-cell <= 100m : 0
|
||||
same-cell <= 250m : 0
|
||||
|
||||
注意：
|
||||
- 显式关系候选优先于距离候选。
|
||||
- 最近文字仍不会被脚本自动写入 chart_label_text。
|
||||
- 若 20k/50k/200k 都无安全来源，则该数据源的助航名称保持为空，不从 NEWPEC 反灌。
|
||||
137
cm95_nav_name_multiscale_groups_v2.csv
Normal file
137
cm95_nav_name_multiscale_groups_v2.csv
Normal file
@@ -0,0 +1,137 @@
|
||||
native_scale,cell_id,source_relative_path,relation20,lon,lat,component_classes,component_source_record_indices,direct_names,nav_relation_fields,explicit_text_candidates,nearest_same_cell_text,nearest_same_cell_distance_m,same_cell_candidate_count,all_candidate_count,candidate_summary
|
||||
20000,693,03900420\F\03910424.F,,141.487254006117,40.55602869111419,"[""TOWERS""]",[1959],[],{},[],Kitanuma,730.41,1,1,"[{""feature_id"":606700,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2200,""native_scale"":20000,""lon"":141.4815623918527,""lat"":40.56097339975906,""text"":""Kitanuma"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":730.41,""explicit_relation_overlap"":[],""text_relation_fields"":{}}]"
|
||||
20000,693,03900420\F\03910424.F,,141.487370991933,40.55682149529551,"[""TOWERS""]",[1960],[],{},[],Kitanuma,673.74,1,1,"[{""feature_id"":606700,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2200,""native_scale"":20000,""lon"":141.4815623918527,""lat"":40.56097339975906,""text"":""Kitanuma"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":673.74,""explicit_relation_overlap"":[],""text_relation_fields"":{}}]"
|
||||
20000,693,03900420\F\03910424.F,,141.48809833852798,40.556491161360874,"[""TOWERS""]",[1958],[],{},[],Kitanuma,743.83,1,1,"[{""feature_id"":606700,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2200,""native_scale"":20000,""lon"":141.4815623918527,""lat"":40.56097339975906,""text"":""Kitanuma"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":743.83,""explicit_relation_overlap"":[],""text_relation_fields"":{}}]"
|
||||
20000,693,03900420\F\03910424.F,,141.48819497898467,40.55577458522323,"[""TOWERS""]",[1961],[],{},[],Hamana-Yachi,765.61,1,1,"[{""feature_id"":606692,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2192,""native_scale"":20000,""lon"":141.4941968599783,""lat"":40.550616027137096,""text"":""Hamana-Yachi"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":765.61,""explicit_relation_overlap"":[],""text_relation_fields"":{}}]"
|
||||
20000,693,03900420\F\03910424.F,,141.49735547700973,40.52981512984462,"[""TOWERS""]",[1970],[],{},[],Toyama-Shinden,517.72,3,3,"[{""feature_id"":606712,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2212,""native_scale"":20000,""lon"":141.50044288528355,""lat"":40.53383653024312,""text"":""Toyama-Shinden"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":517.72,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606702,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2202,""native_scale"":20000,""lon"":141.49126712823906,""lat"":40.529042342579885,""text"":""Numadate"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":521.69,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606652,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2152,""native_scale"":20000,""lon"":141.5038354739469,""lat"":40.5271713470344,""text"":""Area 3 Koyo"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":621.58,""explicit_relation_overlap"":[],""text_relation_fields"":{}}]"
|
||||
20000,693,03900420\F\03910424.F,,141.5000054600586,40.535127801051665,"[""TOWERS""]",[1966],[],{},[],Toyama-Shinden,148.27,4,4,"[{""feature_id"":606712,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2212,""native_scale"":20000,""lon"":141.50044288528355,""lat"":40.53383653024312,""text"":""Toyama-Shinden"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":148.27,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606683,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2183,""native_scale"":20000,""lon"":141.4964857128996,""lat"":40.53749167722482,""text"":""Mabechi Kawa"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":396.94,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606710,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2210,""native_scale"":20000,""lon"":141.5023960397764,""lat"":40.538406703674674,""text"":""Tate"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":416.83,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606699,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2199,""native_scale"":20000,""lon"":141.50835214371162,""lat"":40.53415680839427,""text"":""Kawaragi"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":713.59,""explicit_relation_overlap"":[],""text_relation_fields"":{}}]"
|
||||
20000,693,03900420\F\03910424.F,,141.5003564175065,40.53742559149734,"[""TOWERS""]",[1964],[],{},[],Tate,203.98,5,5,"[{""feature_id"":606710,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2210,""native_scale"":20000,""lon"":141.5023960397764,""lat"":40.538406703674674,""text"":""Tate"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":203.98,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606683,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2183,""native_scale"":20000,""lon"":141.4964857128996,""lat"":40.53749167722482,""text"":""Mabechi Kawa"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":327.18,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606712,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2212,""native_scale"":20000,""lon"":141.50044288528355,""lat"":40.53383653024312,""text"":""Toyama-Shinden"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":399.15,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606695,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2195,""native_scale"":20000,""lon"":141.49386116154983,""lat"":40.54159903142414,""text"":""Hattaro"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":718.76,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606699,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2199,""native_scale"":20000,""lon"":141.50835214371162,""lat"":40.53415680839427,""text"":""Kawaragi"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":767.26,""explicit_relation_overlap"":[],""text_relation_fields"":{}}]"
|
||||
20000,693,03900420\F\03910424.F,,141.51061556493377,40.53027778111349,"[""BCNSPP""]",[1980],[],{},[],Kawaragi,471.84,4,4,"[{""feature_id"":606699,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2199,""native_scale"":20000,""lon"":141.50835214371162,""lat"":40.53415680839427,""text"":""Kawaragi"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":471.84,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606653,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2153,""native_scale"":20000,""lon"":141.51512206201883,""lat"":40.52610363595054,""text"":""Area 4 Koyo"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":600.42,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606715,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2215,""native_scale"":20000,""lon"":141.5175685914747,""lat"":40.53200125607943,""text"":""Uheikawara"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":618.09,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606652,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2152,""native_scale"":20000,""lon"":141.5038354739469,""lat"":40.5271713470344,""text"":""Area 3 Koyo"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":669.09,""explicit_relation_overlap"":[],""text_relation_fields"":{}}]"
|
||||
20000,693,03900420\F\03910424.F,,141.5108444502259,40.531909745248655,"[""BCNSPP""]",[1979],[],{},[],Kawaragi,326.8,5,5,"[{""feature_id"":606699,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2199,""native_scale"":20000,""lon"":141.50835214371162,""lat"":40.53415680839427,""text"":""Kawaragi"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":326.8,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606715,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2215,""native_scale"":20000,""lon"":141.5175685914747,""lat"":40.53200125607943,""text"":""Uheikawara"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":568.37,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606653,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2153,""native_scale"":20000,""lon"":141.51512206201883,""lat"":40.52610363595054,""text"":""Area 4 Koyo"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":739.94,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606663,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2163,""native_scale"":20000,""lon"":141.51672934540358,""lat"":40.53728325278595,""text"":""Service Co., Inc."",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":777.4,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606652,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2152,""native_scale"":20000,""lon"":141.5038354739469,""lat"":40.5271713470344,""text"":""Area 3 Koyo"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":792.79,""explicit_relation_overlap"":[],""text_relation_fields"":{}}]"
|
||||
20000,693,03900420\F\03910424.F,,141.5214392960816,40.52781196552014,"[""TOWERS""]",[1962],[],{},[],Tate Hana,111.99,9,9,"[{""feature_id"":606665,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2165,""native_scale"":20000,""lon"":141.52014736576604,""lat"":40.52803567212025,""text"":""Tate Hana"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":111.99,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606711,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2211,""native_scale"":20000,""lon"":141.5229906297283,""lat"":40.52654597546327,""text"":""Tatehana"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":192.38,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606674,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2174,""native_scale"":20000,""lon"":141.51944036453034,""lat"":40.52694255323407,""text"":""Hachinohe Fishing Harbour"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":194.65,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606669,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2169,""native_scale"":20000,""lon"":141.51948105524897,""lat"":40.52654597546327,""text"":""(Konakano)"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":217.28,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606685,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2185,""native_scale"":20000,""lon"":141.52122058346913,""lat"":40.52476643093591,""text"":""Niida Kawa"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":339.15,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606708,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2208,""native_scale"":20000,""lon"":141.5273089322398,""lat"":40.52658665021444,""text"":""Shinminato"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":514.47,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606714,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2214,""native_scale"":20000,""lon"":141.525121806115,""lat"":40.52382579545554,""text"":""Uenoyama"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":541.61,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606653,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2153,""native_scale"":20000,""lon"":141.51512206201883,""lat"":40.52610363595054,""text"":""Area 4 Koyo"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":566.71,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":606715,""cell_id"":693,""source_relative_path"":""03900420\\F\\03910424.F"",""source_record_index"":2215,""native_scale"":20000,""lon"":141.5175685914747,""lat"":40.53200125607943,""text"":""Uheikawara"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":569.22,""explicit_relation_overlap"":[],""text_relation_fields"":{}}]"
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50000,351,03900420\E\03910424.E,1023,141.49825919544693,40.55623293432891,"[""LIGHTS"",""_extgn""]","[884,984]",[],"{""884"":{""_cm93_relation20_raw"":1023},""984"":{""_cm93_relation20_raw"":1023}}",[],No 1 WHARF,257.21,2,2,"[{""feature_id"":513889,""cell_id"":351,""source_relative_path"":""03900420\\E\\03910424.E"",""source_record_index"":959,""native_scale"":50000,""lon"":141.4954515353928,""lat"":40.55533848010609,""text"":""No 1 WHARF"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":257.21,""explicit_relation_overlap"":[],""text_relation_fields"":{}},{""feature_id"":513890,""cell_id"":351,""source_relative_path"":""03900420\\E\\03910424.E"",""source_record_index"":960,""native_scale"":50000,""lon"":141.49809134620457,""lat"":40.55028662228105,""text"":""No 2 WHARF"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":661.35,""explicit_relation_overlap"":[],""text_relation_fields"":{}}]"
|
||||
50000,351,03900420\E\03910424.E,1024,141.50759263059066,40.53502708806053,"[""LIGHTS"",""_extgn""]","[882,971]",[],"{""882"":{""_cm93_relation20_raw"":1024},""971"":{""_cm93_relation20_raw"":1024}}",[],K A W A R A G I,477.72,1,1,"[{""feature_id"":513880,""cell_id"":351,""source_relative_path"":""03900420\\E\\03910424.E"",""source_record_index"":950,""native_scale"":50000,""lon"":141.5020485192519,""lat"":40.53586589358092,""text"":""K A W A R A G I"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":477.72,""explicit_relation_overlap"":[],""text_relation_fields"":{}}]"
|
||||
50000,351,03900420\E\03910424.E,1025,141.52097987925458,40.555318151462146,"[""LIGHTS"",""_extgn""]","[887,973]",[],"{""887"":{""_cm93_relation20_raw"":1025},""973"":{""_cm93_relation20_raw"":1025}}",[],,,0,0,[]
|
||||
200000,40,03900420\C\03900420.C,,141.65804316559033,40.467367860055134,"[""LIGHTS""]",[4877],[],{},[],,,0,0,[]
|
||||
200000,40,03900420\C\03900420.C,6486,141.53481130881366,40.56513638820441,"[""TOWERS"",""LIGHTS""]","[4300,4741]",[],"{""4300"":{""_cm93_relation20_raw"":6486},""4741"":{""_cm93_relation20_raw"":6486}}",[],,,0,0,[]
|
||||
200000,40,03900420\C\03900420.C,6501,141.43965605140164,40.68046315791786,"[""TOWERS"",""LIGHTS""]","[4325,4781]",[],"{""4325"":{""_cm93_relation20_raw"":6501},""4781"":{""_cm93_relation20_raw"":6501}}",[],,,0,0,[]
|
||||
200000,40,03900420\C\03900420.C,6510,141.6269147619469,40.49949414054503,"[""TOWERS"",""LIGHTS""]","[4291,4747]",[],"{""4291"":{""_cm93_relation20_raw"":6510},""4747"":{""_cm93_relation20_raw"":6510}}",[],,,0,0,[]
|
||||
200000,40,03900420\C\03900420.C,6521,141.5676487228532,40.541909757522724,"[""TOWERS"",""LIGHTS""]","[4246,4842]",[],"{""4246"":{""_cm93_relation20_raw"":6521},""4842"":{""_cm93_relation20_raw"":6521}}",[],,,0,0,[]
|
||||
200000,40,03900420\C\03900420.C,6528,141.67305804264188,40.454613089799984,"[""TOWERS"",""LIGHTS""]","[4304,4777]",[],"{""4304"":{""_cm93_relation20_raw"":6528},""4777"":{""_cm93_relation20_raw"":6528}}",[],,,0,0,[]
|
||||
200000,40,03900420\C\03900420.C,6548,141.53481130881366,40.56201499793302,"[""TOWERS"",""LIGHTS""]","[4364,4830]",[],"{""4364"":{""_cm93_relation20_raw"":6548},""4830"":{""_cm93_relation20_raw"":6548}}",[],,,0,0,[]
|
||||
200000,40,03900420\C\03900420.C,6558,141.51424214797476,40.55215044794532,"[""TOWERS"",""LIGHTS""]","[4259,4598]",[],"{""4259"":{""_cm93_relation20_raw"":6558},""4598"":{""_cm93_relation20_raw"":6558}}",[],,,0,0,[]
|
||||
200000,40,03900420\C\03900420.C,6567,141.5765599913472,40.53922443934611,"[""TOWERS"",""LIGHTS""]","[4274,4619]",[],"{""4274"":{""_cm93_relation20_raw"":6567},""4619"":{""_cm93_relation20_raw"":6567}}",[],Same Kado,528.84,1,1,"[{""feature_id"":361674,""cell_id"":40,""source_relative_path"":""03900420\\C\\03900420.C"",""source_record_index"":6002,""native_scale"":200000,""lon"":141.58071044516635,""lat"":40.54278402393275,""text"":""Same Kado"",""prefix"":[0,12,0],""same_cell"":true,""distance_m"":528.84,""explicit_relation_overlap"":[],""text_relation_fields"":{}}]"
|
||||
200000,40,03900420\C\03900420.C,6602,141.52785319505807,40.55864373294613,"[""BCNLAT"",""LIGHTS""]","[4439,4737]",[],"{""4439"":{""_cm93_relation20_raw"":6602},""4737"":{""_cm93_relation20_raw"":6602}}",[],,,0,0,[]
|
||||
200000,40,03900420\C\03900420.C,6620,141.3592715266989,40.68775404209214,"[""BCNSPP"",""LIGHTS""]","[4540,4584]",[],"{""4540"":{""_cm93_relation20_raw"":6620},""4584"":{""_cm93_relation20_raw"":6620}}",[],,,0,0,[]
|
||||
200000,40,03900420\C\03900420.C,6632,141.54707956201432,40.53735089780069,"[""BCNLAT"",""LIGHTS""]","[4422,4714]",[],"{""4422"":{""_cm93_relation20_raw"":6632},""4714"":{""_cm93_relation20_raw"":6632}}",[],,,0,0,[]
|
||||
200000,40,03900420\C\03900420.C,6640,141.6516343766049,40.472369069669675,"[""BCNLAT"",""LIGHTS""]","[4460,4646]",[],"{""4460"":{""_cm93_relation20_raw"":6640},""4646"":{""_cm93_relation20_raw"":6640}}",[],,,0,0,[]
|
||||
200000,40,03900420\C\03900420.C,6657,141.5203457565323,40.53735089780069,"[""BCNLAT"",""LIGHTS""]","[4492,4673]",[],"{""4492"":{""_cm93_relation20_raw"":6657},""4673"":{""_cm93_relation20_raw"":6657}}",[],,,0,0,[]
|
||||
200000,40,03900420\C\03900420.C,6663,141.53426198404347,40.53797541747083,"[""BCNSPP"",""LIGHTS""]","[4538,4784]",[],"{""4538"":{""_cm93_relation20_raw"":6663},""4784"":{""_cm93_relation20_raw"":6663}}",[],,,0,0,[]
|
||||
200000,40,03900420\C\03900420.C,6691,141.55232866537378,40.533978390984394,"[""BCNLAT"",""LIGHTS""]","[4500,4670]",[],"{""4500"":{""_cm93_relation20_raw"":6691},""4670"":{""_cm93_relation20_raw"":6691}}",[],,,0,0,[]
|
||||
200000,40,03900420\C\03900420.C,6720,141.47084549113066,40.54653075073066,"[""BCNSPP"",""LIGHTS""]","[4539,4839]",[],"{""4539"":{""_cm93_relation20_raw"":6720},""4839"":{""_cm93_relation20_raw"":6720}}",[],,,0,0,[]
|
||||
|
1
cm95_nav_text_relation_fields_v2.csv
Normal file
1
cm95_nav_text_relation_fields_v2.csv
Normal file
@@ -0,0 +1 @@
|
||||
native_scale,field_name,occurrence_count
|
||||
|
1008
cm95_navsea_selected_aoi_mapping_audit_v2.py
Normal file
1008
cm95_navsea_selected_aoi_mapping_audit_v2.py
Normal file
File diff suppressed because it is too large
Load Diff
41
cm95_pbf_aoi_candidates_v1.csv
Normal file
41
cm95_pbf_aoi_candidates_v1.csv
Normal file
@@ -0,0 +1,41 @@
|
||||
rank,score,z,x,y,tile_path,center_lon,center_lat,min_lon,min_lat,max_lon,max_lat,feature_count,detail_feature_count_le_50000,required_groups_present,land_count,depth_count,contour_count,navmark_light_count,hazard_count,point_count,line_count,area_count,top_classes,native_scales
|
||||
1,6121875,10,887,375,10/887/375.pbf,132.01171875,43.19703272708128,131.8359375,43.06888777416962,132.1875,43.32517767999295,4475,3674,5,818,366,390,191,856,1373,2039,1050,"[{""class"": ""COALNE"", ""count"": 457}, {""class"": ""UWTROC"", ""count"": 440}, {""class"": ""DEPCNT"", ""count"": 390}, {""class"": ""DEPARE"", ""count"": 366}, {""class"": ""SLCONS"", ""count"": 284}, {""class"": ""RIVERS"", ""count"": 229}, {""class"": ""_texto"", ""count"": 169}, {""class"": ""SBDARE"", ""count"": 164}, {""class"": ""OBSTRN"", ""count"": 158}, {""class"": ""LNDELV"", ""count"": 132}, {""class"": ""SLOTOP"", ""count"": 132}, {""class"": ""ROADPT"", ""count"": 130}, {""class"": ""RIVBNK"", ""count"": 103}, {""class"": ""BRTFAC"", ""count"": 94}, {""class"": ""LNDARE"", ""count"": 77}]","[{""scale"": 7500, ""count"": 536}, {""scale"": 20000, ""count"": 1418}, {""scale"": 50000, ""count"": 1720}, {""scale"": 100000, ""count"": 650}, {""scale"": 200000, ""count"": 130}, {""scale"": 1000000, ""count"": 20}, {""scale"": 3000000, ""count"": 1}]"
|
||||
2,6104723,10,890,377,10/890/377.pbf,133.06640625,42.682301017026845,132.890625,42.553080288955805,133.2421875,42.811521745097885,4323,3504,5,529,401,378,283,1493,2018,1251,1043,"[{""class"": ""UWTROC"", ""count"": 1140}, {""class"": ""DEPARE"", ""count"": 401}, {""class"": ""DEPCNT"", ""count"": 378}, {""class"": ""COALNE"", ""count"": 350}, {""class"": ""SBDARE"", ""count"": 203}, {""class"": ""SLOTOP"", ""count"": 137}, {""class"": ""LIGHTS"", ""count"": 132}, {""class"": ""SLCONS"", ""count"": 109}, {""class"": ""_texto"", ""count"": 104}, {""class"": ""SLOGRD"", ""count"": 98}, {""class"": ""OBSTRN"", ""count"": 81}, {""class"": ""BUISGL"", ""count"": 72}, {""class"": ""LNDARE"", ""count"": 70}, {""class"": ""ROADPT"", ""count"": 62}, {""class"": ""TOPMAR"", ""count"": 60}]","[{""scale"": 7500, ""count"": 881}, {""scale"": 20000, ""count"": 1443}, {""scale"": 50000, ""count"": 1180}, {""scale"": 100000, ""count"": 668}, {""scale"": 200000, ""count"": 112}, {""scale"": 1000000, ""count"": 39}]"
|
||||
3,6076644,10,914,385,10/914/385.pbf,141.50390625,40.580451442943264,141.328125,40.44694705960049,141.6796875,40.71395582628604,3544,3231,5,647,401,441,132,1062,1632,952,956,"[{""class"": ""WRECKS"", ""count"": 481}, {""class"": ""DEPCNT"", ""count"": 441}, {""class"": ""DEPARE"", ""count"": 401}, {""class"": ""SLCONS"", ""count"": 328}, {""class"": ""SBDARE"", ""count"": 296}, {""class"": ""UWTROC"", ""count"": 176}, {""class"": ""COALNE"", ""count"": 165}, {""class"": ""LNDARE"", ""count"": 154}, {""class"": ""_texto"", ""count"": 113}, {""class"": ""LIGHTS"", ""count"": 96}, {""class"": ""BRTFAC"", ""count"": 89}, {""class"": ""ZEMCNT"", ""count"": 83}, {""class"": ""OBSTRN"", ""count"": 76}, {""class"": ""ITDARE"", ""count"": 68}, {""class"": ""TNKCON"", ""count"": 57}]","[{""scale"": 20000, ""count"": 2239}, {""scale"": 50000, ""count"": 992}, {""scale"": 100000, ""count"": 1}, {""scale"": 200000, ""count"": 278}, {""scale"": 1000000, ""count"": 33}, {""scale"": 3000000, ""count"": 1}]"
|
||||
4,6023900,10,884,377,10/884/377.pbf,130.95703125,42.682301017026845,130.78125,42.553080288955805,131.1328125,42.811521745097885,3900,2700,5,588,244,227,85,1252,1616,1359,912,"[{""class"": ""UWTROC"", ""count"": 953}, {""class"": ""COALNE"", ""count"": 497}, {""class"": ""DEPARE"", ""count"": 244}, {""class"": ""DEPCNT"", ""count"": 227}, {""class"": ""SBDARE"", ""count"": 197}, {""class"": ""SLOTOP"", ""count"": 183}, {""class"": ""RIVERS"", ""count"": 147}, {""class"": ""LNDRGN"", ""count"": 138}, {""class"": ""_texto"", ""count"": 123}, {""class"": ""SLOGRD"", ""count"": 114}, {""class"": ""WEDKLP"", ""count"": 111}, {""class"": ""RIVBNK"", ""count"": 107}, {""class"": ""ROADPT"", ""count"": 76}, {""class"": ""LNDELV"", ""count"": 75}, {""class"": ""LNDARE"", ""count"": 57}]","[{""scale"": 7500, ""count"": 380}, {""scale"": 20000, ""count"": 2320}, {""scale"": 100000, ""count"": 1051}, {""scale"": 200000, ""count"": 125}, {""scale"": 1000000, ""count"": 24}]"
|
||||
5,5997990,10,911,351,10/911/351.pbf,140.44921875,49.03773445996431,140.2734375,48.92249926375824,140.625,49.15296965617039,3190,2448,5,425,194,182,171,1106,1506,944,730,"[{""class"": ""UWTROC"", ""count"": 871}, {""class"": ""COALNE"", ""count"": 343}, {""class"": ""DEPARE"", ""count"": 194}, {""class"": ""DEPCNT"", ""count"": 182}, {""class"": ""SLOTOP"", ""count"": 148}, {""class"": ""_texto"", ""count"": 146}, {""class"": ""SBDARE"", ""count"": 116}, {""class"": ""SLOGRD"", ""count"": 85}, {""class"": ""BUAARE"", ""count"": 76}, {""class"": ""BCNSPP"", ""count"": 70}, {""class"": ""OBSTRN"", ""count"": 57}, {""class"": ""LNDELV"", ""count"": 55}, {""class"": ""RIVERS"", ""count"": 55}, {""class"": ""SEAARE"", ""count"": 52}, {""class"": ""LIGHTS"", ""count"": 51}]","[{""scale"": 20000, ""count"": 1220}, {""scale"": 50000, ""count"": 1228}, {""scale"": 100000, ""count"": 534}, {""scale"": 200000, ""count"": 176}, {""scale"": 1000000, ""count"": 31}, {""scale"": 3000000, ""count"": 1}]"
|
||||
6,5954428,10,912,381,10/912/381.pbf,140.80078125,41.6399444886017,140.625,41.50857729743934,140.9765625,41.77131167976407,2228,2022,5,408,160,190,78,622,907,732,581,"[{""class"": ""UWTROC"", ""count"": 326}, {""class"": ""SBDARE"", ""count"": 216}, {""class"": ""SLCONS"", ""count"": 204}, {""class"": ""ZEMCNT"", ""count"": 198}, {""class"": ""ITDARE"", ""count"": 195}, {""class"": ""DEPCNT"", ""count"": 190}, {""class"": ""DEPARE"", ""count"": 160}, {""class"": ""COALNE"", ""count"": 112}, {""class"": ""LNDARE"", ""count"": 92}, {""class"": ""_texto"", ""count"": 79}, {""class"": ""TOWERS"", ""count"": 46}, {""class"": ""OBSTRN"", ""count"": 40}, {""class"": ""LIGHTS"", ""count"": 38}, {""class"": ""BUISGL"", ""count"": 35}, {""class"": ""BUAARE"", ""count"": 32}]","[{""scale"": 20000, ""count"": 903}, {""scale"": 50000, ""count"": 1119}, {""scale"": 200000, ""count"": 189}, {""scale"": 1000000, ""count"": 17}]"
|
||||
7,5951203,10,856,384,10/856/384.pbf,121.11328125,40.84692694795308,120.9375,40.71395582628604,121.2890625,40.97989806962013,2303,1989,5,454,294,299,354,348,746,711,840,"[{""class"": ""SLCONS"", ""count"": 347}, {""class"": ""DEPCNT"", ""count"": 299}, {""class"": ""DEPARE"", ""count"": 294}, {""class"": ""SBDARE"", ""count"": 239}, {""class"": ""LIGHTS"", ""count"": 134}, {""class"": ""TOPMAR"", ""count"": 102}, {""class"": ""ITDARE"", ""count"": 92}, {""class"": ""ZEMCNT"", ""count"": 73}, {""class"": ""BOYLAT"", ""count"": 67}, {""class"": ""UWTROC"", ""count"": 63}, {""class"": ""$LINES"", ""count"": 60}, {""class"": ""COALNE"", ""count"": 58}, {""class"": ""_texto"", ""count"": 50}, {""class"": ""LNDARE"", ""count"": 49}, {""class"": ""LAKSHR"", ""count"": 41}]","[{""scale"": 20000, ""count"": 1042}, {""scale"": 50000, ""count"": 947}, {""scale"": 100000, ""count"": 206}, {""scale"": 200000, ""count"": 93}, {""scale"": 1000000, ""count"": 14}, {""scale"": 3000000, ""count"": 1}]"
|
||||
8,5926940,10,887,376,10/887/376.pbf,132.01171875,42.94020475963375,131.8359375,42.811521745097885,132.1875,43.06888777416962,2340,1746,5,501,134,209,133,767,1089,714,534,"[{""class"": ""UWTROC"", ""count"": 544}, {""class"": ""COALNE"", ""count"": 303}, {""class"": ""DEPCNT"", ""count"": 209}, {""class"": ""LNDARE"", ""count"": 160}, {""class"": ""DEPARE"", ""count"": 134}, {""class"": ""SBDARE"", ""count"": 128}, {""class"": ""_texto"", ""count"": 102}, {""class"": ""OBSTRN"", ""count"": 59}, {""class"": ""LIGHTS"", ""count"": 49}, {""class"": ""SLOTOP"", ""count"": 40}, {""class"": ""SLCONS"", ""count"": 38}, {""class"": ""RESARE"", ""count"": 35}, {""class"": ""BCNSPP"", ""count"": 31}, {""class"": ""SLOGRD"", ""count"": 30}, {""class"": ""SEAARE"", ""count"": 28}]","[{""scale"": 7500, ""count"": 1}, {""scale"": 20000, ""count"": 718}, {""scale"": 50000, ""count"": 1027}, {""scale"": 100000, ""count"": 474}, {""scale"": 200000, ""count"": 78}, {""scale"": 1000000, ""count"": 38}, {""scale"": 3000000, ""count"": 2}, {""scale"": 20000000, ""count"": 2}]"
|
||||
9,5925129,10,892,376,10/892/376.pbf,133.76953125,42.94020475963375,133.59375,42.811521745097885,133.9453125,43.06888777416962,2329,1728,5,393,73,67,31,734,865,936,522,"[{""class"": ""UWTROC"", ""count"": 566}, {""class"": ""COALNE"", ""count"": 326}, {""class"": ""RIVERS"", ""count"": 207}, {""class"": ""RIVBNK"", ""count"": 120}, {""class"": ""SBDARE"", ""count"": 119}, {""class"": ""SLOTOP"", ""count"": 93}, {""class"": ""LNDRGN"", ""count"": 88}, {""class"": ""ZEMCNT"", ""count"": 81}, {""class"": ""DEPARE"", ""count"": 73}, {""class"": ""SLOGRD"", ""count"": 72}, {""class"": ""ITDARE"", ""count"": 69}, {""class"": ""DEPCNT"", ""count"": 67}, {""class"": ""LNDELV"", ""count"": 60}, {""class"": ""LNDARE"", ""count"": 55}, {""class"": ""_texto"", ""count"": 54}]","[{""scale"": 20000, ""count"": 1728}, {""scale"": 100000, ""count"": 466}, {""scale"": 200000, ""count"": 114}, {""scale"": 1000000, ""count"": 21}]"
|
||||
10,5913497,10,885,376,10/885/376.pbf,131.30859375,42.94020475963375,131.1328125,42.811521745097885,131.484375,43.06888777416962,2397,1611,5,357,88,91,50,678,887,1039,471,"[{""class"": ""UWTROC"", ""count"": 559}, {""class"": ""COALNE"", ""count"": 278}, {""class"": ""RIVERS"", ""count"": 240}, {""class"": ""SLOTOP"", ""count"": 119}, {""class"": ""DEPCNT"", ""count"": 91}, {""class"": ""DEPARE"", ""count"": 88}, {""class"": ""RIVBNK"", ""count"": 84}, {""class"": ""SLOGRD"", ""count"": 77}, {""class"": ""SBDARE"", ""count"": 74}, {""class"": ""ROADPT"", ""count"": 73}, {""class"": ""LAKSHR"", ""count"": 64}, {""class"": ""LNDELV"", ""count"": 60}, {""class"": ""VEGARE"", ""count"": 60}, {""class"": ""_texto"", ""count"": 59}, {""class"": ""LNDARE"", ""count"": 50}]","[{""scale"": 20000, ""count"": 1}, {""scale"": 50000, ""count"": 1610}, {""scale"": 100000, ""count"": 643}, {""scale"": 200000, ""count"": 110}, {""scale"": 1000000, ""count"": 33}]"
|
||||
11,5913112,10,914,377,10/914/377.pbf,141.50390625,42.682301017026845,141.328125,42.553080288955805,141.6796875,42.811521745097885,1712,1614,5,430,162,181,101,232,713,485,510,"[{""class"": ""SLCONS"", ""count"": 277}, {""class"": ""SBDARE"", ""count"": 188}, {""class"": ""DEPCNT"", ""count"": 181}, {""class"": ""DEPARE"", ""count"": 162}, {""class"": ""_texto"", ""count"": 108}, {""class"": ""LNDARE"", ""count"": 95}, {""class"": ""BRTFAC"", ""count"": 79}, {""class"": ""PRDINS"", ""count"": 59}, {""class"": ""COALNE"", ""count"": 58}, {""class"": ""LIGHTS"", ""count"": 57}, {""class"": ""ITDARE"", ""count"": 41}, {""class"": ""TNKCON"", ""count"": 35}, {""class"": ""BUAARE"", ""count"": 33}, {""class"": ""ZEMCNT"", ""count"": 32}, {""class"": ""CHIMNY"", ""count"": 24}]","[{""scale"": 20000, ""count"": 971}, {""scale"": 50000, ""count"": 643}, {""scale"": 200000, ""count"": 84}, {""scale"": 1000000, ""count"": 14}]"
|
||||
12,5909693,10,912,384,10/912/384.pbf,140.80078125,40.84692694795308,140.625,40.71395582628604,140.9765625,40.97989806962013,1893,1578,5,490,154,166,115,282,656,590,643,"[{""class"": ""SLCONS"", ""count"": 400}, {""class"": ""SBDARE"", ""count"": 229}, {""class"": ""DEPCNT"", ""count"": 166}, {""class"": ""DEPARE"", ""count"": 154}, {""class"": ""RIVBNK"", ""count"": 92}, {""class"": ""_texto"", ""count"": 92}, {""class"": ""ITDARE"", ""count"": 65}, {""class"": ""LIGHTS"", ""count"": 63}, {""class"": ""ZEMCNT"", ""count"": 63}, {""class"": ""BUISGL"", ""count"": 58}, {""class"": ""LNDARE"", ""count"": 57}, {""class"": ""BRIDGE"", ""count"": 56}, {""class"": ""BUAARE"", ""count"": 40}, {""class"": ""COALNE"", ""count"": 33}, {""class"": ""TOWERS"", ""count"": 26}]","[{""scale"": 20000, ""count"": 646}, {""scale"": 50000, ""count"": 932}, {""scale"": 100000, ""count"": 98}, {""scale"": 200000, ""count"": 197}, {""scale"": 1000000, ""count"": 15}, {""scale"": 3000000, ""count"": 3}, {""scale"": 20000000, ""count"": 2}]"
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13,5907373,10,896,373,10/896/373.pbf,135.17578125,43.70745881892233,135.0,43.580390855607845,135.3515625,43.83452678223683,2073,1553,5,322,98,81,46,473,653,874,542,"[{""class"": ""UWTROC"", ""count"": 334}, {""class"": ""COALNE"", ""count"": 254}, {""class"": ""RIVERS"", ""count"": 222}, {""class"": ""LNDRGN"", ""count"": 174}, {""class"": ""RIVBNK"", ""count"": 171}, {""class"": ""SBDARE"", ""count"": 100}, {""class"": ""DEPARE"", ""count"": 98}, {""class"": ""DEPCNT"", ""count"": 81}, {""class"": ""LNDELV"", ""count"": 65}, {""class"": ""LNDARE"", ""count"": 64}, {""class"": ""SLOTOP"", ""count"": 63}, {""class"": ""SLOGRD"", ""count"": 52}, {""class"": ""VEGARE"", ""count"": 46}, {""class"": ""LAKSHR"", ""count"": 42}, {""class"": ""_texto"", ""count"": 38}]","[{""scale"": 20000, ""count"": 1553}, {""scale"": 100000, ""count"": 430}, {""scale"": 200000, ""count"": 65}, {""scale"": 1000000, ""count"": 24}, {""scale"": 3000000, ""count"": 1}]"
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14,5906071,10,859,385,10/859/385.pbf,122.16796875,40.580451442943264,121.9921875,40.44694705960049,122.34375,40.71395582628604,2171,1539,5,471,224,226,417,112,625,791,747,"[{""class"": ""SLCONS"", ""count"": 342}, {""class"": ""DEPCNT"", ""count"": 226}, {""class"": ""DEPARE"", ""count"": 224}, {""class"": ""LIGHTS"", ""count"": 146}, {""class"": ""TOPMAR"", ""count"": 133}, {""class"": ""ZEMCNT"", ""count"": 127}, {""class"": ""ITDARE"", ""count"": 103}, {""class"": ""SBDARE"", ""count"": 77}, {""class"": ""BOYLAT"", ""count"": 75}, {""class"": ""COALNE"", ""count"": 67}, {""class"": ""LNDARE"", ""count"": 62}, {""class"": ""_texto"", ""count"": 56}, {""class"": ""BCNSPP"", ""count"": 42}, {""class"": ""LAKSHR"", ""count"": 40}, {""class"": ""LAKARE"", ""count"": 38}]","[{""scale"": 20000, ""count"": 936}, {""scale"": 50000, ""count"": 603}, {""scale"": 100000, ""count"": 554}, {""scale"": 200000, ""count"": 71}, {""scale"": 1000000, ""count"": 6}, {""scale"": 3000000, ""count"": 1}]"
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15,5905467,10,922,376,10/922/376.pbf,144.31640625,42.94020475963375,144.140625,42.811521745097885,144.4921875,43.06888777416962,2067,1534,5,316,181,188,84,570,930,494,636,"[{""class"": ""SBDARE"", ""count"": 293}, {""class"": ""SLCONS"", ""count"": 228}, {""class"": ""DEPCNT"", ""count"": 188}, {""class"": ""DEPARE"", ""count"": 181}, {""class"": ""UWTROC"", ""count"": 174}, {""class"": ""_texto"", ""count"": 77}, {""class"": ""ITDARE"", ""count"": 74}, {""class"": ""WRECKS"", ""count"": 68}, {""class"": ""ZEMCNT"", ""count"": 60}, {""class"": ""LIGHTS"", ""count"": 57}, {""class"": ""LNDARE"", ""count"": 51}, {""class"": ""BRTFAC"", ""count"": 49}, {""class"": ""BUISGL"", ""count"": 49}, {""class"": ""PRDINS"", ""count"": 47}, {""class"": ""RIVBNK"", ""count"": 39}]","[{""scale"": 20000, ""count"": 1534}, {""scale"": 100000, ""count"": 445}, {""scale"": 200000, ""count"": 84}, {""scale"": 1000000, ""count"": 3}, {""scale"": 3000000, ""count"": 1}]"
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16,5899347,10,888,376,10/888/376.pbf,132.36328125,42.94020475963375,132.1875,42.811521745097885,132.5390625,43.06888777416962,2747,1466,5,466,125,153,126,973,1295,940,504,"[{""class"": ""UWTROC"", ""count"": 793}, {""class"": ""COALNE"", ""count"": 393}, {""class"": ""DEPCNT"", ""count"": 153}, {""class"": ""SLOTOP"", ""count"": 143}, {""class"": ""DEPARE"", ""count"": 125}, {""class"": ""RIVERS"", ""count"": 125}, {""class"": ""SLOGRD"", ""count"": 116}, {""class"": ""_texto"", ""count"": 116}, {""class"": ""SBDARE"", ""count"": 81}, {""class"": ""LNDELV"", ""count"": 73}, {""class"": ""OBSTRN"", ""count"": 61}, {""class"": ""LIGHTS"", ""count"": 52}, {""class"": ""LNDARE"", ""count"": 49}, {""class"": ""SEAARE"", ""count"": 43}, {""class"": ""BCNSPP"", ""count"": 41}]","[{""scale"": 7500, ""count"": 374}, {""scale"": 50000, ""count"": 1092}, {""scale"": 100000, ""count"": 1056}, {""scale"": 200000, ""count"": 169}, {""scale"": 1000000, ""count"": 54}, {""scale"": 3000000, ""count"": 2}]"
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17,5898662,10,926,374,10/926/374.pbf,145.72265625,43.452784267800396,145.546875,43.32517767999295,145.8984375,43.580390855607845,2562,1461,5,402,270,313,65,684,837,862,852,"[{""class"": ""UWTROC"", ""count"": 353}, {""class"": ""DEPCNT"", ""count"": 313}, {""class"": ""DEPARE"", ""count"": 270}, {""class"": ""ZEMCNT"", ""count"": 261}, {""class"": ""SBDARE"", ""count"": 228}, {""class"": ""ITDARE"", ""count"": 218}, {""class"": ""COALNE"", ""count"": 168}, {""class"": ""LNDARE"", ""count"": 129}, {""class"": ""_texto"", ""count"": 111}, {""class"": ""SLCONS"", ""count"": 105}, {""class"": ""OBSTRN"", ""count"": 77}, {""class"": ""LIGHTS"", ""count"": 60}, {""class"": ""TOWERS"", ""count"": 31}, {""class"": ""BUAARE"", ""count"": 30}, {""class"": ""$LINES"", ""count"": 24}]","[{""scale"": 20000, ""count"": 522}, {""scale"": 50000, ""count"": 939}, {""scale"": 100000, ""count"": 954}, {""scale"": 200000, ""count"": 133}, {""scale"": 1000000, ""count"": 13}, {""scale"": 3000000, ""count"": 1}]"
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18,5894691,10,888,375,10/888/375.pbf,132.36328125,43.19703272708128,132.1875,43.06888777416962,132.5390625,43.32517767999295,2091,1426,5,281,61,66,49,695,885,880,321,"[{""class"": ""UWTROC"", ""count"": 565}, {""class"": ""COALNE"", ""count"": 243}, {""class"": ""RIVERS"", ""count"": 209}, {""class"": ""RIVBNK"", ""count"": 113}, {""class"": ""SBDARE"", ""count"": 95}, {""class"": ""SLOTOP"", ""count"": 86}, {""class"": ""LNDELV"", ""count"": 78}, {""class"": ""DEPCNT"", ""count"": 66}, {""class"": ""SLOGRD"", ""count"": 64}, {""class"": ""_texto"", ""count"": 62}, {""class"": ""DEPARE"", ""count"": 61}, {""class"": ""ROADPT"", ""count"": 53}, {""class"": ""RAILWY"", ""count"": 30}, {""class"": ""ZEMCNT"", ""count"": 27}, {""class"": ""LNDRGN"", ""count"": 26}]","[{""scale"": 7500, ""count"": 89}, {""scale"": 50000, ""count"": 1337}, {""scale"": 100000, ""count"": 538}, {""scale"": 200000, ""count"": 101}, {""scale"": 1000000, ""count"": 26}]"
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19,5886280,10,889,377,10/889/377.pbf,132.71484375,42.682301017026845,132.5390625,42.553080288955805,132.890625,42.811521745097885,1680,1346,5,252,171,169,33,543,653,610,411,"[{""class"": ""UWTROC"", ""count"": 390}, {""class"": ""DEPARE"", ""count"": 171}, {""class"": ""DEPCNT"", ""count"": 169}, {""class"": ""SLCONS"", ""count"": 137}, {""class"": ""COALNE"", ""count"": 102}, {""class"": ""BRTFAC"", ""count"": 95}, {""class"": ""SBDARE"", ""count"": 88}, {""class"": ""_texto"", ""count"": 46}, {""class"": ""OBSTRN"", ""count"": 37}, {""class"": ""SLOGRD"", ""count"": 35}, {""class"": ""SLOTOP"", ""count"": 34}, {""class"": ""ROADPT"", ""count"": 33}, {""class"": ""BUAARE"", ""count"": 27}, {""class"": ""CBLSUB"", ""count"": 25}, {""class"": ""SEAARE"", ""count"": 22}]","[{""scale"": 7500, ""count"": 396}, {""scale"": 20000, ""count"": 425}, {""scale"": 50000, ""count"": 525}, {""scale"": 100000, ""count"": 284}, {""scale"": 200000, ""count"": 32}, {""scale"": 1000000, ""count"": 18}]"
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20,5884667,10,911,350,10/911/350.pbf,140.44921875,49.26767122158997,140.2734375,49.15296965617039,140.625,49.38237278700955,1867,1328,5,231,75,70,48,509,638,813,410,"[{""class"": ""UWTROC"", ""count"": 367}, {""class"": ""RIVBNK"", ""count"": 258}, {""class"": ""COALNE"", ""count"": 193}, {""class"": ""SBDARE"", ""count"": 119}, {""class"": ""SLOTOP"", ""count"": 119}, {""class"": ""VEGARE"", ""count"": 92}, {""class"": ""DEPARE"", ""count"": 75}, {""class"": ""DEPCNT"", ""count"": 70}, {""class"": ""RIVERS"", ""count"": 65}, {""class"": ""LNDRGN"", ""count"": 61}, {""class"": ""_texto"", ""count"": 53}, {""class"": ""LNDARE"", ""count"": 37}, {""class"": ""ZEMCNT"", ""count"": 37}, {""class"": ""LAKSHR"", ""count"": 33}, {""class"": ""ITDARE"", ""count"": 30}]","[{""scale"": 20000, ""count"": 706}, {""scale"": 50000, ""count"": 622}, {""scale"": 100000, ""count"": 366}, {""scale"": 200000, ""count"": 149}, {""scale"": 1000000, ""count"": 24}]"
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21,5883660,10,914,372,10/914/372.pbf,141.50390625,43.961055905241,141.328125,43.83452678223683,141.6796875,44.087585028245165,1560,1321,5,362,230,253,54,280,479,559,517,"[{""class"": ""DEPCNT"", ""count"": 253}, {""class"": ""DEPARE"", ""count"": 230}, {""class"": ""SLCONS"", ""count"": 191}, {""class"": ""SBDARE"", ""count"": 188}, {""class"": ""COALNE"", ""count"": 107}, {""class"": ""LNDARE"", ""count"": 64}, {""class"": ""UWTROC"", ""count"": 60}, {""class"": ""_texto"", ""count"": 54}, {""class"": ""ZEMCNT"", ""count"": 52}, {""class"": ""ITDARE"", ""count"": 44}, {""class"": ""LIGHTS"", ""count"": 43}, {""class"": ""TOWERS"", ""count"": 29}, {""class"": ""BUAARE"", ""count"": 23}, {""class"": ""BRTFAC"", ""count"": 22}, {""class"": ""BUISGL"", ""count"": 21}]","[{""scale"": 7500, ""count"": 616}, {""scale"": 20000, ""count"": 705}, {""scale"": 100000, ""count"": 107}, {""scale"": 200000, ""count"": 123}, {""scale"": 1000000, ""count"": 8}, {""scale"": 3000000, ""count"": 1}]"
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22,5881827,10,910,351,10/910/351.pbf,140.09765625,49.03773445996431,139.921875,48.92249926375824,140.2734375,49.15296965617039,1627,1302,5,280,42,40,37,207,415,737,471,"[{""class"": ""COALNE"", ""count"": 209}, {""class"": ""RIVBNK"", ""count"": 138}, {""class"": ""BUAARE"", ""count"": 111}, {""class"": ""UWTROC"", ""count"": 98}, {""class"": ""SLOTOP"", ""count"": 78}, {""class"": ""RAILWY"", ""count"": 76}, {""class"": ""VEGARE"", ""count"": 70}, {""class"": ""_texto"", ""count"": 60}, {""class"": ""ROADPT"", ""count"": 56}, {""class"": ""LNDELV"", ""count"": 55}, {""class"": ""RIVERS"", ""count"": 55}, {""class"": ""LNDARE"", ""count"": 54}, {""class"": ""SBDARE"", ""count"": 51}, {""class"": ""WEDKLP"", ""count"": 51}, {""class"": ""DEPARE"", ""count"": 42}]","[{""scale"": 20000, ""count"": 730}, {""scale"": 50000, ""count"": 572}, {""scale"": 100000, ""count"": 244}, {""scale"": 200000, ""count"": 78}, {""scale"": 1000000, ""count"": 3}]"
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23,5875328,10,912,380,10/912/380.pbf,140.80078125,41.90214300610273,140.625,41.77131167976407,140.9765625,42.03297433244139,1528,1238,5,268,119,125,160,334,751,402,372,"[{""class"": ""SLCONS"", ""count"": 220}, {""class"": ""SBDARE"", ""count"": 166}, {""class"": ""DEPCNT"", ""count"": 125}, {""class"": ""DEPARE"", ""count"": 119}, {""class"": ""WRECKS"", ""count"": 99}, {""class"": ""LIGHTS"", ""count"": 91}, {""class"": ""_texto"", ""count"": 77}, {""class"": ""BUAARE"", ""count"": 43}, {""class"": ""BRIDGE"", ""count"": 41}, {""class"": ""BUISGL"", ""count"": 41}, {""class"": ""RIVBNK"", ""count"": 34}, {""class"": ""UWTROC"", ""count"": 32}, {""class"": ""COALNE"", ""count"": 29}, {""class"": ""BOYSPP"", ""count"": 25}, {""class"": ""OBSTRN"", ""count"": 23}]","[{""scale"": 20000, ""count"": 922}, {""scale"": 50000, ""count"": 316}, {""scale"": 100000, ""count"": 126}, {""scale"": 200000, ""count"": 150}, {""scale"": 1000000, ""count"": 13}, {""scale"": 3000000, ""count"": 1}]"
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24,5866952,10,915,377,10/915/377.pbf,141.85546875,42.682301017026845,141.6796875,42.553080288955805,142.03125,42.811521745097885,1252,1157,5,219,158,168,154,207,501,379,366,"[{""class"": ""DEPCNT"", ""count"": 168}, {""class"": ""DEPARE"", ""count"": 158}, {""class"": ""SBDARE"", ""count"": 139}, {""class"": ""SLCONS"", ""count"": 135}, {""class"": ""LIGHTS"", ""count"": 80}, {""class"": ""WRECKS"", ""count"": 45}, {""class"": ""LNDARE"", ""count"": 43}, {""class"": ""COALNE"", ""count"": 41}, {""class"": ""ZEMCNT"", ""count"": 37}, {""class"": ""ITDARE"", ""count"": 32}, {""class"": ""RIVBNK"", ""count"": 27}, {""class"": ""_texto"", ""count"": 27}, {""class"": ""BRTFAC"", ""count"": 25}, {""class"": ""BOYSPP"", ""count"": 23}, {""class"": ""_extgn"", ""count"": 18}]","[{""scale"": 20000, ""count"": 781}, {""scale"": 50000, ""count"": 376}, {""scale"": 200000, ""count"": 88}, {""scale"": 1000000, ""count"": 7}]"
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25,5866237,10,886,376,10/886/376.pbf,131.66015625,42.94020475963375,131.484375,42.811521745097885,131.8359375,43.06888777416962,2537,1137,5,521,145,228,69,798,1064,906,558,"[{""class"": ""UWTROC"", ""count"": 561}, {""class"": ""COALNE"", ""count"": 356}, {""class"": ""DEPCNT"", ""count"": 228}, {""class"": ""SBDARE"", ""count"": 179}, {""class"": ""LNDARE"", ""count"": 146}, {""class"": ""DEPARE"", ""count"": 145}, {""class"": ""_texto"", ""count"": 142}, {""class"": ""SLOTOP"", ""count"": 104}, {""class"": ""SLOGRD"", ""count"": 85}, {""class"": ""RIVERS"", ""count"": 54}, {""class"": ""ZEMCNT"", ""count"": 45}, {""class"": ""ITDARE"", ""count"": 43}, {""class"": ""LNDELV"", ""count"": 43}, {""class"": ""OBSTRN"", ""count"": 43}, {""class"": ""SEAARE"", ""count"": 27}]","[{""scale"": 20000, ""count"": 7}, {""scale"": 50000, ""count"": 1130}, {""scale"": 100000, ""count"": 1107}, {""scale"": 200000, ""count"": 179}, {""scale"": 1000000, ""count"": 106}, {""scale"": 3000000, ""count"": 8}]"
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||||
26,5859715,10,859,386,10/859/386.pbf,122.16796875,40.312910186973724,121.9921875,40.17887331434696,122.34375,40.44694705960049,1715,1080,5,293,243,268,283,160,584,628,495,"[{""class"": ""DEPCNT"", ""count"": 268}, {""class"": ""SLCONS"", ""count"": 247}, {""class"": ""DEPARE"", ""count"": 243}, {""class"": ""LIGHTS"", ""count"": 120}, {""class"": ""SBDARE"", ""count"": 109}, {""class"": ""_texto"", ""count"": 75}, {""class"": ""TOPMAR"", ""count"": 67}, {""class"": ""ITDARE"", ""count"": 45}, {""class"": ""ZEMCNT"", ""count"": 45}, {""class"": ""BOYLAT"", ""count"": 41}, {""class"": ""$LINES"", ""count"": 36}, {""class"": ""BCNSPP"", ""count"": 35}, {""class"": ""BRTFAC"", ""count"": 29}, {""class"": ""BUAARE"", ""count"": 29}, {""class"": ""COALNE"", ""count"": 29}]","[{""scale"": 20000, ""count"": 418}, {""scale"": 50000, ""count"": 662}, {""scale"": 100000, ""count"": 498}, {""scale"": 200000, ""count"": 114}, {""scale"": 1000000, ""count"": 23}]"
|
||||
27,5857080,10,910,377,10/910/377.pbf,140.09765625,42.682301017026845,139.921875,42.553080288955805,140.2734375,42.811521745097885,1280,1058,5,317,75,86,29,214,342,452,480,"[{""class"": ""COALNE"", ""count"": 157}, {""class"": ""UWTROC"", ""count"": 141}, {""class"": ""BUISGL"", ""count"": 118}, {""class"": ""DEPCNT"", ""count"": 86}, {""class"": ""LNDARE"", ""count"": 83}, {""class"": ""BUAARE"", ""count"": 82}, {""class"": ""SLCONS"", ""count"": 77}, {""class"": ""DEPARE"", ""count"": 75}, {""class"": ""ZEMCNT"", ""count"": 75}, {""class"": ""ITDARE"", ""count"": 51}, {""class"": ""SBDARE"", ""count"": 51}, {""class"": ""ROADPT"", ""count"": 46}, {""class"": ""_texto"", ""count"": 40}, {""class"": ""RIVERS"", ""count"": 27}, {""class"": ""LNDELV"", ""count"": 20}]","[{""scale"": 7500, ""count"": 442}, {""scale"": 20000, ""count"": 334}, {""scale"": 50000, ""count"": 282}, {""scale"": 100000, ""count"": 52}, {""scale"": 200000, ""count"": 165}, {""scale"": 1000000, ""count"": 5}]"
|
||||
28,5855856,10,886,375,10/886/375.pbf,131.66015625,43.19703272708128,131.484375,43.06888777416962,131.8359375,43.32517767999295,1656,1042,5,227,27,27,19,244,375,904,372,"[{""class"": ""RIVERS"", ""count"": 308}, {""class"": ""COALNE"", ""count"": 170}, {""class"": ""UWTROC"", ""count"": 132}, {""class"": ""RIVBNK"", ""count"": 118}, {""class"": ""LAKSHR"", ""count"": 78}, {""class"": ""LNDELV"", ""count"": 62}, {""class"": ""LAKARE"", ""count"": 57}, {""class"": ""LNDRGN"", ""count"": 55}, {""class"": ""LNDARE"", ""count"": 53}, {""class"": ""ZEMCNT"", ""count"": 53}, {""class"": ""OBSTRN"", ""count"": 51}, {""class"": ""_texto"", ""count"": 46}, {""class"": ""SLOTOP"", ""count"": 45}, {""class"": ""SBDARE"", ""count"": 41}, {""class"": ""ITDARE"", ""count"": 40}]","[{""scale"": 7500, ""count"": 1}, {""scale"": 20000, ""count"": 4}, {""scale"": 50000, ""count"": 1037}, {""scale"": 100000, ""count"": 514}, {""scale"": 200000, ""count"": 89}, {""scale"": 1000000, ""count"": 11}]"
|
||||
29,5848607,10,910,353,10/910/353.pbf,140.09765625,48.57465613686708,139.921875,48.45835188280865,140.2734375,48.6909603909255,1607,970,5,253,31,29,12,482,569,770,262,"[{""class"": ""UWTROC"", ""count"": 371}, {""class"": ""RIVERS"", ""count"": 255}, {""class"": ""RIVBNK"", ""count"": 245}, {""class"": ""COALNE"", ""count"": 195}, {""class"": ""SBDARE"", ""count"": 82}, {""class"": ""SLOTOP"", ""count"": 60}, {""class"": ""LNDRGN"", ""count"": 54}, {""class"": ""LNDARE"", ""count"": 52}, {""class"": ""_texto"", ""count"": 33}, {""class"": ""DEPARE"", ""count"": 31}, {""class"": ""DEPCNT"", ""count"": 29}, {""class"": ""SLOGRD"", ""count"": 29}, {""class"": ""WEDKLP"", ""count"": 23}, {""class"": ""CTNARE"", ""count"": 20}, {""class"": ""LNDELV"", ""count"": 18}]","[{""scale"": 7500, ""count"": 39}, {""scale"": 20000, ""count"": 683}, {""scale"": 50000, ""count"": 248}, {""scale"": 100000, ""count"": 524}, {""scale"": 200000, ""count"": 103}, {""scale"": 1000000, ""count"": 10}]"
|
||||
30,5843249,10,914,366,10/914/366.pbf,141.50390625,45.45999583298721,141.328125,45.33670190996811,141.6796875,45.58328975600631,949,923,5,333,56,63,18,140,304,211,432,"[{""class"": ""SLCONS"", ""count"": 185}, {""class"": ""LNDARE"", ""count"": 116}, {""class"": ""SBDARE"", ""count"": 70}, {""class"": ""UWTROC"", ""count"": 66}, {""class"": ""DEPCNT"", ""count"": 63}, {""class"": ""DEPARE"", ""count"": 56}, {""class"": ""_texto"", ""count"": 50}, {""class"": ""BUAARE"", ""count"": 49}, {""class"": ""BUISGL"", ""count"": 39}, {""class"": ""COALNE"", ""count"": 32}, {""class"": ""ITDARE"", ""count"": 25}, {""class"": ""ZEMCNT"", ""count"": 25}, {""class"": ""TNKCON"", ""count"": 20}, {""class"": ""LIGHTS"", ""count"": 17}, {""class"": ""TOWERS"", ""count"": 13}]","[{""scale"": 7500, ""count"": 307}, {""scale"": 50000, ""count"": 616}, {""scale"": 100000, ""count"": 1}, {""scale"": 200000, ""count"": 22}, {""scale"": 1000000, ""count"": 2}, {""scale"": 3000000, ""count"": 1}]"
|
||||
31,5841185,10,915,366,10/915/366.pbf,141.85546875,45.45999583298721,141.6796875,45.33670190996811,142.03125,45.58328975600631,985,902,5,282,60,63,39,199,340,226,415,"[{""class"": ""SLCONS"", ""count"": 164}, {""class"": ""SBDARE"", ""count"": 148}, {""class"": ""LNDARE"", ""count"": 88}, {""class"": ""DEPCNT"", ""count"": 63}, {""class"": ""DEPARE"", ""count"": 60}, {""class"": ""BUISGL"", ""count"": 58}, {""class"": ""UWTROC"", ""count"": 31}, {""class"": ""COALNE"", ""count"": 30}, {""class"": ""_texto"", ""count"": 30}, {""class"": ""LIGHTS"", ""count"": 27}, {""class"": ""RIVBNK"", ""count"": 25}, {""class"": ""TOWERS"", ""count"": 20}, {""class"": ""BRIDGE"", ""count"": 18}, {""class"": ""BUAARE"", ""count"": 17}, {""class"": ""ITDARE"", ""count"": 17}]","[{""scale"": 7500, ""count"": 432}, {""scale"": 50000, ""count"": 470}, {""scale"": 200000, ""count"": 75}, {""scale"": 1000000, ""count"": 8}]"
|
||||
32,5839618,10,911,381,10/911/381.pbf,140.44921875,41.6399444886017,140.2734375,41.50857729743934,140.625,41.77131167976407,1018,886,5,212,64,72,84,235,498,315,201,"[{""class"": ""SBDARE"", ""count"": 102}, {""class"": ""UWTROC"", ""count"": 102}, {""class"": ""COALNE"", ""count"": 85}, {""class"": ""SLCONS"", ""count"": 75}, {""class"": ""DEPCNT"", ""count"": 72}, {""class"": ""DEPARE"", ""count"": 64}, {""class"": ""_texto"", ""count"": 53}, {""class"": ""LNDARE"", ""count"": 52}, {""class"": ""ITDARE"", ""count"": 46}, {""class"": ""ZEMCNT"", ""count"": 46}, {""class"": ""LIGHTS"", ""count"": 38}, {""class"": ""BUISGL"", ""count"": 28}, {""class"": ""BUIREL"", ""count"": 23}, {""class"": ""$LINES"", ""count"": 21}, {""class"": ""BUAARE"", ""count"": 21}]","[{""scale"": 50000, ""count"": 886}, {""scale"": 200000, ""count"": 123}, {""scale"": 1000000, ""count"": 9}]"
|
||||
33,5838565,10,889,376,10/889/376.pbf,132.71484375,42.94020475963375,132.5390625,42.811521745097885,132.890625,43.06888777416962,1465,871,5,221,38,43,12,343,480,675,308,"[{""class"": ""UWTROC"", ""count"": 264}, {""class"": ""RIVERS"", ""count"": 245}, {""class"": ""COALNE"", ""count"": 175}, {""class"": ""BUAARE"", ""count"": 75}, {""class"": ""_texto"", ""count"": 64}, {""class"": ""RIVBNK"", ""count"": 56}, {""class"": ""LNDELV"", ""count"": 55}, {""class"": ""SLOTOP"", ""count"": 55}, {""class"": ""ROADPT"", ""count"": 51}, {""class"": ""SLOGRD"", ""count"": 48}, {""class"": ""DEPCNT"", ""count"": 43}, {""class"": ""DEPARE"", ""count"": 38}, {""class"": ""SBDARE"", ""count"": 36}, {""class"": ""SLCONS"", ""count"": 26}, {""class"": ""LAKSHR"", ""count"": 22}]","[{""scale"": 7500, ""count"": 10}, {""scale"": 20000, ""count"": 4}, {""scale"": 50000, ""count"": 857}, {""scale"": 100000, ""count"": 494}, {""scale"": 200000, ""count"": 86}, {""scale"": 1000000, ""count"": 14}]"
|
||||
34,5834997,10,912,378,10/912/378.pbf,140.80078125,42.42332224056294,140.625,42.29356419217008,140.9765625,42.553080288955805,1297,837,5,450,98,117,113,194,454,477,362,"[{""class"": ""SLCONS"", ""count"": 239}, {""class"": ""DEPCNT"", ""count"": 117}, {""class"": ""LNDARE"", ""count"": 108}, {""class"": ""COALNE"", ""count"": 103}, {""class"": ""DEPARE"", ""count"": 98}, {""class"": ""UWTROC"", ""count"": 84}, {""class"": ""LIGHTS"", ""count"": 78}, {""class"": ""_texto"", ""count"": 63}, {""class"": ""SBDARE"", ""count"": 61}, {""class"": ""_extgn"", ""count"": 34}, {""class"": ""ZEMCNT"", ""count"": 33}, {""class"": ""ITDARE"", ""count"": 32}, {""class"": ""WRECKS"", ""count"": 26}, {""class"": ""TOWERS"", ""count"": 25}, {""class"": ""BUAARE"", ""count"": 22}]","[{""scale"": 50000, ""count"": 837}, {""scale"": 100000, ""count"": 330}, {""scale"": 200000, ""count"": 115}, {""scale"": 1000000, ""count"": 15}]"
|
||||
35,5834080,10,915,361,10/915/361.pbf,141.85546875,46.679459874952244,141.6796875,46.55886030311718,142.03125,46.8000594467873,880,832,5,92,35,55,30,451,543,195,132,"[{""class"": ""UWTROC"", ""count"": 318}, {""class"": ""SBDARE"", ""count"": 113}, {""class"": ""DEPCNT"", ""count"": 55}, {""class"": ""_texto"", ""count"": 42}, {""class"": ""DEPARE"", ""count"": 35}, {""class"": ""COALNE"", ""count"": 34}, {""class"": ""LNDARE"", ""count"": 29}, {""class"": ""SLCONS"", ""count"": 29}, {""class"": ""$LINES"", ""count"": 28}, {""class"": ""ZEMCNT"", ""count"": 23}, {""class"": ""ITDARE"", ""count"": 20}, {""class"": ""BRTFAC"", ""count"": 16}, {""class"": ""LIGHTS"", ""count"": 15}, {""class"": ""RIVERS"", ""count"": 13}, {""class"": ""OBSTRN"", ""count"": 12}]","[{""scale"": 7500, ""count"": 459}, {""scale"": 20000, ""count"": 198}, {""scale"": 50000, ""count"": 175}, {""scale"": 200000, ""count"": 42}, {""scale"": 1000000, ""count"": 6}]"
|
||||
36,5828506,10,926,375,10/926/375.pbf,145.72265625,43.19703272708128,145.546875,43.06888777416962,145.8984375,43.32517767999295,1406,771,5,299,213,228,56,306,437,488,477,"[{""class"": ""DEPCNT"", ""count"": 228}, {""class"": ""DEPARE"", ""count"": 213}, {""class"": ""COALNE"", ""count"": 134}, {""class"": ""SBDARE"", ""count"": 130}, {""class"": ""UWTROC"", ""count"": 107}, {""class"": ""LNDARE"", ""count"": 104}, {""class"": ""ZEMCNT"", ""count"": 64}, {""class"": ""_texto"", ""count"": 63}, {""class"": ""SLCONS"", ""count"": 61}, {""class"": ""ITDARE"", ""count"": 57}, {""class"": ""LIGHTS"", ""count"": 51}, {""class"": ""WRECKS"", ""count"": 40}, {""class"": ""OBSTRN"", ""count"": 25}, {""class"": ""TOWERS"", ""count"": 13}, {""class"": ""_extgn"", ""count"": 10}]","[{""scale"": 20000, ""count"": 445}, {""scale"": 50000, ""count"": 326}, {""scale"": 100000, ""count"": 504}, {""scale"": 200000, ""count"": 109}, {""scale"": 1000000, ""count"": 20}, {""scale"": 3000000, ""count"": 2}]"
|
||||
37,5828459,10,931,368,10/931/368.pbf,147.48046875,44.96466310811451,147.3046875,44.84029065139799,147.65625,45.089035564831015,1359,771,5,203,95,91,23,394,479,604,271,"[{""class"": ""UWTROC"", ""count"": 306}, {""class"": ""COALNE"", ""count"": 179}, {""class"": ""RIVERS"", ""count"": 177}, {""class"": ""DEPARE"", ""count"": 95}, {""class"": ""SLOTOP"", ""count"": 94}, {""class"": ""DEPCNT"", ""count"": 91}, {""class"": ""SLOGRD"", ""count"": 65}, {""class"": ""SBDARE"", ""count"": 57}, {""class"": ""LNDELV"", ""count"": 30}, {""class"": ""RIVBNK"", ""count"": 30}, {""class"": ""_texto"", ""count"": 30}, {""class"": ""ROADPT"", ""count"": 24}, {""class"": ""LNDARE"", ""count"": 21}, {""class"": ""LNDRGN"", ""count"": 19}, {""class"": ""CTNARE"", ""count"": 15}]","[{""scale"": 20000, ""count"": 231}, {""scale"": 50000, ""count"": 540}, {""scale"": 100000, ""count"": 489}, {""scale"": 200000, ""count"": 91}, {""scale"": 1000000, ""count"": 6}, {""scale"": 3000000, ""count"": 2}]"
|
||||
38,5828120,10,916,359,10/916/359.pbf,142.20703125,47.15970557368874,142.03125,47.04018214480666,142.3828125,47.27922900257082,820,773,5,108,15,30,99,144,300,312,206,"[{""class"": ""RIVERS"", ""count"": 123}, {""class"": ""UWTROC"", ""count"": 95}, {""class"": ""BUAARE"", ""count"": 82}, {""class"": ""SLCONS"", ""count"": 54}, {""class"": ""LIGHTS"", ""count"": 52}, {""class"": ""COALNE"", ""count"": 44}, {""class"": ""DEPCNT"", ""count"": 30}, {""class"": ""SLOTOP"", ""count"": 24}, {""class"": ""LNDELV"", ""count"": 23}, {""class"": ""SBDARE"", ""count"": 23}, {""class"": ""SLOGRD"", ""count"": 23}, {""class"": ""WATTUR"", ""count"": 22}, {""class"": ""BRTFAC"", ""count"": 18}, {""class"": ""DEPARE"", ""count"": 15}, {""class"": ""BCNSPP"", ""count"": 14}]","[{""scale"": 7500, ""count"": 195}, {""scale"": 20000, ""count"": 127}, {""scale"": 50000, ""count"": 451}, {""scale"": 200000, ""count"": 43}, {""scale"": 1000000, ""count"": 3}, {""scale"": 3000000, ""count"": 1}]"
|
||||
39,5828023,10,932,368,10/932/368.pbf,147.83203125,44.96466310811451,147.65625,44.84029065139799,148.0078125,45.089035564831015,1223,768,5,193,81,55,12,303,373,542,301,"[{""class"": ""COALNE"", ""count"": 153}, {""class"": ""UWTROC"", ""count"": 146}, {""class"": ""RIVERS"", ""count"": 134}, {""class"": ""SBDARE"", ""count"": 122}, {""class"": ""DEPARE"", ""count"": 81}, {""class"": ""SLOTOP"", ""count"": 77}, {""class"": ""RIVBNK"", ""count"": 70}, {""class"": ""DEPCNT"", ""count"": 55}, {""class"": ""LAKSHR"", ""count"": 47}, {""class"": ""SLOGRD"", ""count"": 45}, {""class"": ""_texto"", ""count"": 42}, {""class"": ""LNDARE"", ""count"": 40}, {""class"": ""CTNARE"", ""count"": 34}, {""class"": ""LNDELV"", ""count"": 34}, {""class"": ""LAKARE"", ""count"": 31}]","[{""scale"": 20000, ""count"": 414}, {""scale"": 50000, ""count"": 354}, {""scale"": 100000, ""count"": 331}, {""scale"": 200000, ""count"": 114}, {""scale"": 1000000, ""count"": 2}, {""scale"": 3000000, ""count"": 4}, {""scale"": 20000000, ""count"": 4}]"
|
||||
40,5823820,10,898,370,10/898/370.pbf,135.87890625,44.465016214702985,135.703125,44.33956524809713,136.0546875,44.590467181308846,1320,725,5,99,13,17,33,346,541,556,221,"[{""class"": ""UWTROC"", ""count"": 307}, {""class"": ""RIVERS"", ""count"": 219}, {""class"": ""RIVBNK"", ""count"": 170}, {""class"": ""_texto"", ""count"": 94}, {""class"": ""COALNE"", ""count"": 83}, {""class"": ""BUAARE"", ""count"": 74}, {""class"": ""LNDELV"", ""count"": 54}, {""class"": ""SLOTOP"", ""count"": 27}, {""class"": ""VEGARE"", ""count"": 23}, {""class"": ""SBDARE"", ""count"": 22}, {""class"": ""LIGHTS"", ""count"": 20}, {""class"": ""LNDRGN"", ""count"": 20}, {""class"": ""ROADPT"", ""count"": 20}, {""class"": ""SLOGRD"", ""count"": 18}, {""class"": ""DEPCNT"", ""count"": 17}]","[{""scale"": 50000, ""count"": 725}, {""scale"": 100000, ""count"": 534}, {""scale"": 200000, ""count"": 49}, {""scale"": 1000000, ""count"": 12}]"
|
||||
|
4411
cm95_pbf_aoi_candidates_v1.json
Normal file
4411
cm95_pbf_aoi_candidates_v1.json
Normal file
File diff suppressed because it is too large
Load Diff
38
cm95_pbf_aoi_candidates_v1.txt
Normal file
38
cm95_pbf_aoi_candidates_v1.txt
Normal file
@@ -0,0 +1,38 @@
|
||||
CM95 → NavSea PBF 第一测试 AOI 候选 v1
|
||||
======================================================================================
|
||||
Dataset ID: 1
|
||||
扫描范围: lon 120.0..160.0, lat 40.0..50.0
|
||||
|
||||
#01 z10/887/375 center=(132.01172,43.19703) features=4475 detail=3674 groups=5/5
|
||||
land=818 depth=366 contour=390 nav=191 hazard=856
|
||||
#02 z10/890/377 center=(133.06641,42.68230) features=4323 detail=3504 groups=5/5
|
||||
land=529 depth=401 contour=378 nav=283 hazard=1493
|
||||
#03 z10/914/385 center=(141.50391,40.58045) features=3544 detail=3231 groups=5/5
|
||||
land=647 depth=401 contour=441 nav=132 hazard=1062
|
||||
#04 z10/884/377 center=(130.95703,42.68230) features=3900 detail=2700 groups=5/5
|
||||
land=588 depth=244 contour=227 nav=85 hazard=1252
|
||||
#05 z10/911/351 center=(140.44922,49.03773) features=3190 detail=2448 groups=5/5
|
||||
land=425 depth=194 contour=182 nav=171 hazard=1106
|
||||
#06 z10/912/381 center=(140.80078,41.63994) features=2228 detail=2022 groups=5/5
|
||||
land=408 depth=160 contour=190 nav=78 hazard=622
|
||||
#07 z10/856/384 center=(121.11328,40.84693) features=2303 detail=1989 groups=5/5
|
||||
land=454 depth=294 contour=299 nav=354 hazard=348
|
||||
#08 z10/887/376 center=(132.01172,42.94020) features=2340 detail=1746 groups=5/5
|
||||
land=501 depth=134 contour=209 nav=133 hazard=767
|
||||
#09 z10/892/376 center=(133.76953,42.94020) features=2329 detail=1728 groups=5/5
|
||||
land=393 depth=73 contour=67 nav=31 hazard=734
|
||||
#10 z10/885/376 center=(131.30859,42.94020) features=2397 detail=1611 groups=5/5
|
||||
land=357 depth=88 contour=91 nav=50 hazard=678
|
||||
#11 z10/914/377 center=(141.50391,42.68230) features=1712 detail=1614 groups=5/5
|
||||
land=430 depth=162 contour=181 nav=101 hazard=232
|
||||
#12 z10/912/384 center=(140.80078,40.84693) features=1893 detail=1578 groups=5/5
|
||||
land=490 depth=154 contour=166 nav=115 hazard=282
|
||||
#13 z10/896/373 center=(135.17578,43.70746) features=2073 detail=1553 groups=5/5
|
||||
land=322 depth=98 contour=81 nav=46 hazard=473
|
||||
#14 z10/859/385 center=(122.16797,40.58045) features=2171 detail=1539 groups=5/5
|
||||
land=471 depth=224 contour=226 nav=417 hazard=112
|
||||
#15 z10/922/376 center=(144.31641,42.94020) features=2067 detail=1534 groups=5/5
|
||||
land=316 depth=181 contour=188 nav=84 hazard=570
|
||||
|
||||
下一步：把 JSON 或 CSV 上传给 ChatGPT。
|
||||
ChatGPT 会选一个最适合的 tile，并告诉你需要提供的现有 NavSea PBF z10/z11/z12 路径。
|
||||
415
cm95_select_pbf_test_aoi_v1.py
Normal file
415
cm95_select_pbf_test_aoi_v1.py
Normal file
@@ -0,0 +1,415 @@
|
||||
#!/usr/bin/env python3
|
||||
# -*- coding: utf-8 -*-
|
||||
r"""
|
||||
CM95 / CM93 MySQL → PBF 测试 AOI 自动候选选择器 v1
|
||||
|
||||
目标：
|
||||
从已导入 MySQL 的 CM93 Dataset 中，自动寻找适合做
|
||||
CM95→NavSea PBF 第一轮对照测试的 z10 XYZ tile。
|
||||
|
||||
优先选择同时包含：
|
||||
- 陆地/岸线
|
||||
- 水深区
|
||||
- 等深线
|
||||
- 灯标/航标
|
||||
- 危险物
|
||||
- 较细比例尺数据
|
||||
|
||||
脚本只读数据库，不修改任何内容。
|
||||
|
||||
执行：
|
||||
python .\cm95_select_pbf_test_aoi_v1.py `
|
||||
--host 127.0.0.1 `
|
||||
--port 3306 `
|
||||
--user root `
|
||||
--database cm93_chart `
|
||||
--dataset-id 1
|
||||
|
||||
输出：
|
||||
- cm95_pbf_aoi_candidates_v1.csv
|
||||
- cm95_pbf_aoi_candidates_v1.json
|
||||
- cm95_pbf_aoi_candidates_v1.txt
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import csv
|
||||
import getpass
|
||||
import json
|
||||
import math
|
||||
from collections import Counter, defaultdict
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
|
||||
import pymysql
|
||||
from pymysql.cursors import SSDictCursor
|
||||
|
||||
|
||||
Z = 10
|
||||
|
||||
LAND = {"LNDARE", "COALNE", "SLCONS"}
|
||||
DEPTH = {"DEPARE"}
|
||||
CONTOUR = {"DEPCNT"}
|
||||
|
||||
LIGHT_NAV_EXACT = {
|
||||
"LIGHTS", "LITFLT", "LITVES", "LNDMRK",
|
||||
"FOGSIG", "RTPBCN", "TOPMAR", "DAYMAR",
|
||||
}
|
||||
LIGHT_NAV_PREFIX = ("BOY", "BCN")
|
||||
|
||||
HAZARD = {
|
||||
"OBSTRN", "UWTROC", "WRECKS", "SBDARE",
|
||||
"CTNARE", "MORFAC",
|
||||
}
|
||||
|
||||
# native_scale 数值越小，通常越详细。
|
||||
DETAIL_SCALE_LIMIT = 50000
|
||||
|
||||
|
||||
def args():
|
||||
p = argparse.ArgumentParser()
|
||||
p.add_argument("--host", default="127.0.0.1")
|
||||
p.add_argument("--port", type=int, default=3306)
|
||||
p.add_argument("--user", default="root")
|
||||
p.add_argument("--password", default=None)
|
||||
p.add_argument("--database", default="cm93_chart")
|
||||
p.add_argument("--dataset-id", type=int, default=1)
|
||||
p.add_argument("--min-lon", type=float, default=120.0)
|
||||
p.add_argument("--max-lon", type=float, default=160.0)
|
||||
p.add_argument("--min-lat", type=float, default=40.0)
|
||||
p.add_argument("--max-lat", type=float, default=50.0)
|
||||
p.add_argument("--top", type=int, default=40)
|
||||
p.add_argument("--output-dir", default=".")
|
||||
return p.parse_args()
|
||||
|
||||
|
||||
def lonlat_to_tile(lon, lat, z):
|
||||
lat = max(min(lat, 85.05112878), -85.05112878)
|
||||
n = 2 ** z
|
||||
x = int((lon + 180.0) / 360.0 * n)
|
||||
lat_rad = math.radians(lat)
|
||||
y = int(
|
||||
(1.0 - math.asinh(math.tan(lat_rad)) / math.pi)
|
||||
/ 2.0 * n
|
||||
)
|
||||
x = max(0, min(n - 1, x))
|
||||
y = max(0, min(n - 1, y))
|
||||
return x, y
|
||||
|
||||
|
||||
def tile_bounds(z, x, y):
|
||||
n = 2 ** z
|
||||
min_lon = x / n * 360.0 - 180.0
|
||||
max_lon = (x + 1) / n * 360.0 - 180.0
|
||||
|
||||
def lat(ty):
|
||||
return math.degrees(
|
||||
math.atan(math.sinh(math.pi * (1 - 2 * ty / n)))
|
||||
)
|
||||
|
||||
max_lat = lat(y)
|
||||
min_lat = lat(y + 1)
|
||||
return min_lon, min_lat, max_lon, max_lat
|
||||
|
||||
|
||||
def is_navmark(cls):
|
||||
return cls in LIGHT_NAV_EXACT or cls.startswith(LIGHT_NAV_PREFIX)
|
||||
|
||||
|
||||
def classify(cls):
|
||||
flags = set()
|
||||
if cls in LAND:
|
||||
flags.add("land")
|
||||
if cls in DEPTH:
|
||||
flags.add("depth")
|
||||
if cls in CONTOUR:
|
||||
flags.add("contour")
|
||||
if is_navmark(cls):
|
||||
flags.add("nav")
|
||||
if cls in HAZARD:
|
||||
flags.add("hazard")
|
||||
return flags
|
||||
|
||||
|
||||
def main():
|
||||
a = args()
|
||||
if a.password is None:
|
||||
a.password = getpass.getpass("MySQL password: ")
|
||||
|
||||
outdir = Path(a.output_dir).resolve()
|
||||
outdir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
conn = pymysql.connect(
|
||||
host=a.host,
|
||||
port=a.port,
|
||||
user=a.user,
|
||||
password=a.password,
|
||||
database=a.database,
|
||||
charset="utf8mb4",
|
||||
cursorclass=SSDictCursor,
|
||||
autocommit=False,
|
||||
connect_timeout=20,
|
||||
read_timeout=900,
|
||||
)
|
||||
|
||||
tiles = {}
|
||||
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
try:
|
||||
cur.execute("SET SESSION TRANSACTION READ ONLY")
|
||||
except Exception:
|
||||
pass
|
||||
try:
|
||||
cur.execute("START TRANSACTION READ ONLY")
|
||||
except Exception:
|
||||
cur.execute("START TRANSACTION")
|
||||
|
||||
cur.execute(
|
||||
"""
|
||||
SELECT
|
||||
object_class,
|
||||
geometry_type,
|
||||
native_scale,
|
||||
bbox_min_lon,
|
||||
bbox_min_lat,
|
||||
bbox_max_lon,
|
||||
bbox_max_lat
|
||||
FROM chart_feature
|
||||
WHERE dataset_id=%s
|
||||
AND bbox_min_lon IS NOT NULL
|
||||
AND bbox_min_lat IS NOT NULL
|
||||
AND bbox_max_lon IS NOT NULL
|
||||
AND bbox_max_lat IS NOT NULL
|
||||
AND bbox_max_lon >= %s
|
||||
AND bbox_min_lon <= %s
|
||||
AND bbox_max_lat >= %s
|
||||
AND bbox_min_lat <= %s
|
||||
""",
|
||||
(
|
||||
a.dataset_id,
|
||||
a.min_lon,
|
||||
a.max_lon,
|
||||
a.min_lat,
|
||||
a.max_lat,
|
||||
),
|
||||
)
|
||||
|
||||
scanned = 0
|
||||
|
||||
for row in cur:
|
||||
scanned += 1
|
||||
|
||||
lon = (
|
||||
float(row["bbox_min_lon"])
|
||||
+ float(row["bbox_max_lon"])
|
||||
) / 2.0
|
||||
lat = (
|
||||
float(row["bbox_min_lat"])
|
||||
+ float(row["bbox_max_lat"])
|
||||
) / 2.0
|
||||
|
||||
if not (
|
||||
a.min_lon <= lon <= a.max_lon
|
||||
and a.min_lat <= lat <= a.max_lat
|
||||
):
|
||||
continue
|
||||
|
||||
x, y = lonlat_to_tile(lon, lat, Z)
|
||||
key = (x, y)
|
||||
|
||||
if key not in tiles:
|
||||
tiles[key] = {
|
||||
"feature_count": 0,
|
||||
"detail_feature_count": 0,
|
||||
"classes": Counter(),
|
||||
"geometry": Counter(),
|
||||
"flags": Counter(),
|
||||
"native_scales": Counter(),
|
||||
}
|
||||
|
||||
t = tiles[key]
|
||||
cls = str(row["object_class"] or "")
|
||||
geom = str(row["geometry_type"] or "")
|
||||
scale = int(row["native_scale"] or 999999999)
|
||||
|
||||
t["feature_count"] += 1
|
||||
t["classes"][cls] += 1
|
||||
t["geometry"][geom] += 1
|
||||
t["native_scales"][scale] += 1
|
||||
|
||||
if scale <= DETAIL_SCALE_LIMIT:
|
||||
t["detail_feature_count"] += 1
|
||||
|
||||
for flag in classify(cls):
|
||||
t["flags"][flag] += 1
|
||||
|
||||
conn.rollback()
|
||||
|
||||
finally:
|
||||
conn.close()
|
||||
|
||||
rows = []
|
||||
|
||||
for (x, y), t in tiles.items():
|
||||
flags = t["flags"]
|
||||
|
||||
required_present = sum(
|
||||
1
|
||||
for name in ("land", "depth", "contour", "nav", "hazard")
|
||||
if flags[name] > 0
|
||||
)
|
||||
|
||||
hard_gate_present = (
|
||||
int(flags["nav"] > 0)
|
||||
+ int(flags["hazard"] > 0)
|
||||
+ int(flags["depth"] > 0)
|
||||
)
|
||||
|
||||
# 先奖励类别闭环，再奖励细尺度和总要素。
|
||||
score = (
|
||||
required_present * 1_000_000
|
||||
+ hard_gate_present * 250_000
|
||||
+ min(t["detail_feature_count"], 10000) * 100
|
||||
+ min(t["feature_count"], 100000)
|
||||
)
|
||||
|
||||
min_lon, min_lat, max_lon, max_lat = tile_bounds(Z, x, y)
|
||||
|
||||
rows.append({
|
||||
"score": score,
|
||||
"z": Z,
|
||||
"x": x,
|
||||
"y": y,
|
||||
"tile_path": f"{Z}/{x}/{y}.pbf",
|
||||
"center_lon": (min_lon + max_lon) / 2,
|
||||
"center_lat": (min_lat + max_lat) / 2,
|
||||
"min_lon": min_lon,
|
||||
"min_lat": min_lat,
|
||||
"max_lon": max_lon,
|
||||
"max_lat": max_lat,
|
||||
"feature_count": t["feature_count"],
|
||||
"detail_feature_count_le_50000": t["detail_feature_count"],
|
||||
"required_groups_present": required_present,
|
||||
"land_count": flags["land"],
|
||||
"depth_count": flags["depth"],
|
||||
"contour_count": flags["contour"],
|
||||
"navmark_light_count": flags["nav"],
|
||||
"hazard_count": flags["hazard"],
|
||||
"point_count": t["geometry"]["POINT"],
|
||||
"line_count": t["geometry"]["LINE"],
|
||||
"area_count": t["geometry"]["AREA"],
|
||||
"top_classes": [
|
||||
{"class": k, "count": v}
|
||||
for k, v in t["classes"].most_common(15)
|
||||
],
|
||||
"native_scales": [
|
||||
{"scale": k, "count": v}
|
||||
for k, v in sorted(t["native_scales"].items())
|
||||
],
|
||||
})
|
||||
|
||||
rows.sort(
|
||||
key=lambda r: (
|
||||
r["score"],
|
||||
r["detail_feature_count_le_50000"],
|
||||
r["feature_count"],
|
||||
),
|
||||
reverse=True,
|
||||
)
|
||||
|
||||
top = rows[: a.top]
|
||||
|
||||
csv_path = outdir / "cm95_pbf_aoi_candidates_v1.csv"
|
||||
json_path = outdir / "cm95_pbf_aoi_candidates_v1.json"
|
||||
txt_path = outdir / "cm95_pbf_aoi_candidates_v1.txt"
|
||||
|
||||
csv_fields = [
|
||||
"rank", "score", "z", "x", "y", "tile_path",
|
||||
"center_lon", "center_lat",
|
||||
"min_lon", "min_lat", "max_lon", "max_lat",
|
||||
"feature_count", "detail_feature_count_le_50000",
|
||||
"required_groups_present",
|
||||
"land_count", "depth_count", "contour_count",
|
||||
"navmark_light_count", "hazard_count",
|
||||
"point_count", "line_count", "area_count",
|
||||
"top_classes", "native_scales",
|
||||
]
|
||||
|
||||
with csv_path.open("w", encoding="utf-8-sig", newline="") as f:
|
||||
w = csv.DictWriter(f, fieldnames=csv_fields)
|
||||
w.writeheader()
|
||||
for i, row in enumerate(top, 1):
|
||||
r = dict(row)
|
||||
r["rank"] = i
|
||||
r["top_classes"] = json.dumps(
|
||||
r["top_classes"], ensure_ascii=False
|
||||
)
|
||||
r["native_scales"] = json.dumps(
|
||||
r["native_scales"], ensure_ascii=False
|
||||
)
|
||||
w.writerow(r)
|
||||
|
||||
json_path.write_text(
|
||||
json.dumps(
|
||||
{
|
||||
"version": "v1",
|
||||
"generated_at": datetime.now().isoformat(timespec="seconds"),
|
||||
"dataset_id": a.dataset_id,
|
||||
"search_bbox": [
|
||||
a.min_lon, a.min_lat, a.max_lon, a.max_lat
|
||||
],
|
||||
"z": Z,
|
||||
"candidate_count": len(rows),
|
||||
"top": top,
|
||||
},
|
||||
ensure_ascii=False,
|
||||
indent=2,
|
||||
),
|
||||
encoding="utf-8",
|
||||
)
|
||||
|
||||
lines = [
|
||||
"CM95 → NavSea PBF 第一测试 AOI 候选 v1",
|
||||
"=" * 86,
|
||||
f"Dataset ID: {a.dataset_id}",
|
||||
f"扫描范围: lon {a.min_lon}..{a.max_lon}, lat {a.min_lat}..{a.max_lat}",
|
||||
"",
|
||||
]
|
||||
|
||||
for i, r in enumerate(top[:15], 1):
|
||||
lines += [
|
||||
(
|
||||
f"#{i:02d} z{r['z']}/{r['x']}/{r['y']} "
|
||||
f"center=({r['center_lon']:.5f},{r['center_lat']:.5f}) "
|
||||
f"features={r['feature_count']} "
|
||||
f"detail={r['detail_feature_count_le_50000']} "
|
||||
f"groups={r['required_groups_present']}/5"
|
||||
),
|
||||
(
|
||||
f" land={r['land_count']} depth={r['depth_count']} "
|
||||
f"contour={r['contour_count']} "
|
||||
f"nav={r['navmark_light_count']} "
|
||||
f"hazard={r['hazard_count']}"
|
||||
),
|
||||
]
|
||||
|
||||
lines += [
|
||||
"",
|
||||
"下一步：把 JSON 或 CSV 上传给 ChatGPT。",
|
||||
"ChatGPT 会选一个最适合的 tile，并告诉你需要提供的现有 NavSea PBF z10/z11/z12 路径。",
|
||||
]
|
||||
|
||||
txt_path.write_text("\n".join(lines), encoding="utf-8")
|
||||
|
||||
print("\n".join(lines))
|
||||
print("")
|
||||
print("输出:")
|
||||
print(csv_path)
|
||||
print(json_path)
|
||||
print(txt_path)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -0,0 +1,8 @@
|
||||
cell_id,source_relative_path,source_file_name,scale_code,native_scale,cell_name,feature_count,attribute_count,bbox_min_lon,bbox_min_lat,bbox_max_lon,bbox_max_lat
|
||||
693,03900420\F\03910424.F,03910424.F,F,20000,03910424,2279,3432,141.3333299246928,40.333332355444654,141.66666320214676,40.66666571671767
|
||||
351,03900420\E\03910424.E,03910424.E,E,50000,03910424,1026,1207,141.33333333333331,40.333333333333314,141.66666666666666,40.66666666666665
|
||||
113,03900420\D\03900423.D,03900423.D,D,100000,03900423,125,202,141.0,40.0,142.0,41.0
|
||||
40,03900420\C\03900420.C,03900420.C,C,200000,03900420,6725,9241,139.99999664723882,39.99999899417164,143.99999647960075,43.999998910352616
|
||||
12,03900420\B\03900420.B,03900420.B,B,1000000,03900420,2047,3738,139.99999664723882,39.99999899417164,149.99999639578172,49.999998826533584
|
||||
4,03900420\A\03900420.A,03900420.A,A,3000000,03900420,414,280,140.0,40.0,160.0,60.0
|
||||
784,03900360\Z\03900360.Z,03900360.Z,Z,20000000,03900360,195,102,120.0,40.0,160.0,80.0
|
||||
|
@@ -0,0 +1,600 @@
|
||||
{"feature_id": 604514, "cell_id": 693, "source_relative_path": "03900420\\F\\03910424.F", "source_record_index": 14, "object_class_id": 194, "object_class": "$AREAS", "geometry_type": "AREA", "scale_code": "F", "native_scale": 20000, "raw_geotype": 132, "coverage_id": 2200, "bbox_min_lon": 141.48240163792386, "bbox_min_lat": 40.526190070337684, "bbox_max_lon": 141.50641424823823, "bbox_max_lat": 40.54307822725843, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"$SCODE": "II25"}, "suggested_source_id": "cm95:1:03900420/F/03910424.F:14:area"}
|
||||
{"feature_id": 604519, "cell_id": 693, "source_relative_path": "03900420\\F\\03910424.F", "source_record_index": 19, "object_class_id": 194, "object_class": "$AREAS", "geometry_type": "AREA", "scale_code": "F", "native_scale": 20000, "raw_geotype": 132, "coverage_id": 2200, "bbox_min_lon": 141.50556991582724, "bbox_min_lat": 40.55430583427656, "bbox_max_lon": 141.52833637288447, "bbox_max_lat": 40.558930511994106, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"$SCODE": "II25"}, "suggested_source_id": "cm95:1:03900420/F/03910424.F:19:area"}
|
||||
{"feature_id": 604550, "cell_id": 693, "source_relative_path": "03900420\\F\\03910424.F", "source_record_index": 50, "object_class_id": 194, "object_class": "$AREAS", "geometry_type": "AREA", "scale_code": "F", "native_scale": 20000, "raw_geotype": 132, "coverage_id": 2200, "bbox_min_lon": 141.52219207437574, "bbox_min_lat": 40.520830927549845, "bbox_max_lon": 141.52462843115197, "bbox_max_lat": 40.52362749764253, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"$SCODE": "II25"}, "suggested_source_id": "cm95:1:03900420/F/03910424.F:50:area"}
|
||||
{"feature_id": 512947, "cell_id": 351, "source_relative_path": "03900420\\E\\03910424.E", "source_record_index": 17, "object_class_id": 194, "object_class": "$AREAS", "geometry_type": "AREA", "scale_code": "E", "native_scale": 50000, "raw_geotype": 132, "coverage_id": 1759, "bbox_min_lon": 141.5240011656172, "bbox_min_lat": 40.54009534689111, "bbox_max_lon": 141.53088298455424, "bbox_max_lat": 40.54618996679383, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"$SCODE": "II25"}, "suggested_source_id": "cm95:1:03900420/E/03910424.E:17:area"}
|
||||
{"feature_id": 512948, "cell_id": 351, "source_relative_path": "03900420\\E\\03910424.E", "source_record_index": 18, "object_class_id": 194, "object_class": "$AREAS", "geometry_type": "AREA", "scale_code": "E", "native_scale": 50000, "raw_geotype": 132, "coverage_id": 1759, "bbox_min_lon": 141.48626560412873, "bbox_min_lat": 40.53205814052522, "bbox_max_lon": 141.50629561371784, "bbox_max_lat": 40.54309443682702, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"$SCODE": "II25"}, "suggested_source_id": "cm95:1:03900420/E/03910424.E:18:area"}
|
||||
{"feature_id": 513001, "cell_id": 351, "source_relative_path": "03900420\\E\\03910424.E", "source_record_index": 71, "object_class_id": 194, "object_class": "$AREAS", "geometry_type": "AREA", "scale_code": "E", "native_scale": 50000, "raw_geotype": 132, "coverage_id": 1759, "bbox_min_lon": 141.5644019696208, "bbox_min_lat": 40.54113741878584, "bbox_max_lon": 141.56583631769195, "bbox_max_lat": 40.542530211517395, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"$SCODE": "II25"}, "suggested_source_id": "cm95:1:03900420/E/03910424.E:71:area"}
|
||||
{"feature_id": 513042, "cell_id": 351, "source_relative_path": "03900420\\E\\03910424.E", "source_record_index": 112, "object_class_id": 194, "object_class": "$AREAS", "geometry_type": "AREA", "scale_code": "E", "native_scale": 50000, "raw_geotype": 132, "coverage_id": 1759, "bbox_min_lon": 141.4848973784864, "bbox_min_lat": 40.560496674008796, "bbox_max_lon": 141.48612318658974, "bbox_max_lat": 40.561665470596104, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"$SCODE": "II25"}, "suggested_source_id": "cm95:1:03900420/E/03910424.E:112:area"}
|
||||
{"feature_id": 513113, "cell_id": 351, "source_relative_path": "03900420\\E\\03910424.E", "source_record_index": 183, "object_class_id": 194, "object_class": "$AREAS", "geometry_type": "AREA", "scale_code": "E", "native_scale": 50000, "raw_geotype": 132, "coverage_id": 1759, "bbox_min_lon": 141.50382365214844, "bbox_min_lat": 40.53037533959098, "bbox_max_lon": 141.5042356457433, "bbox_max_lat": 40.53107185144783, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"$SCODE": "II25"}, "suggested_source_id": "cm95:1:03900420/E/03910424.E:183:area"}
|
||||
{"feature_id": 513120, "cell_id": 351, "source_relative_path": "03900420\\E\\03910424.E", "source_record_index": 190, "object_class_id": 194, "object_class": "$AREAS", "geometry_type": "AREA", "scale_code": "E", "native_scale": 50000, "raw_geotype": 132, "coverage_id": 1759, "bbox_min_lon": 141.48924111342524, "bbox_min_lat": 40.52480806859645, "bbox_max_lon": 141.52280078921723, "bbox_max_lat": 40.524813153073175, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"$SCODE": "II25"}, "suggested_source_id": "cm95:1:03900420/E/03910424.E:190:area"}
|
||||
{"feature_id": 513147, "cell_id": 351, "source_relative_path": "03900420\\E\\03910424.E", "source_record_index": 217, "object_class_id": 194, "object_class": "$AREAS", "geometry_type": "AREA", "scale_code": "E", "native_scale": 50000, "raw_geotype": 132, "coverage_id": 1759, "bbox_min_lon": 141.47966862026965, "bbox_min_lat": 40.53205305659812, "bbox_max_lon": 141.48926145878795, "bbox_max_lat": 40.53205814052522, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"$SCODE": "II25"}, "suggested_source_id": "cm95:1:03900420/E/03910424.E:217:area"}
|
||||
{"feature_id": 355899, "cell_id": 40, "source_relative_path": "03900420\\C\\03900420.C", "source_record_index": 227, "object_class_id": 194, "object_class": "$AREAS", "geometry_type": "AREA", "scale_code": "C", "native_scale": 200000, "raw_geotype": 132, "coverage_id": 1255, "bbox_min_lon": 141.48360203301593, "bbox_min_lat": 40.54546919941691, "bbox_max_lon": 141.52089508130248, "bbox_max_lat": 40.56594792583181, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"$SCODE": "II25"}, "suggested_source_id": "cm95:1:03900420/C/03900420.C:227:area"}
|
||||
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{"feature_id": 606652, "cell_id": 693, "source_relative_path": "03900420\\F\\03910424.F", "source_record_index": 2152, "object_class_id": 198, "object_class": "_texto", "geometry_type": "POINT", "scale_code": "F", "native_scale": 20000, "raw_geotype": 129, "coverage_id": 2200, "bbox_min_lon": 141.5038354739469, "bbox_min_lat": 40.5271713470344, "bbox_max_lon": 141.5038354739469, "bbox_max_lat": 40.5271713470344, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"_texta": {"text": "Area 3 Koyo", "prefix": [0, 12, 0]}}, "suggested_source_id": "cm95:1:03900420/F/03910424.F:2152:point"}
|
||||
{"feature_id": 606653, "cell_id": 693, "source_relative_path": "03900420\\F\\03910424.F", "source_record_index": 2153, "object_class_id": 198, "object_class": "_texto", "geometry_type": "POINT", "scale_code": "F", "native_scale": 20000, "raw_geotype": 129, "coverage_id": 2200, "bbox_min_lon": 141.51512206201883, "bbox_min_lat": 40.52610363595054, "bbox_max_lon": 141.51512206201883, "bbox_max_lat": 40.52610363595054, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"_texta": {"text": "Area 4 Koyo", "prefix": [0, 12, 0]}}, "suggested_source_id": "cm95:1:03900420/F/03910424.F:2153:point"}
|
||||
{"feature_id": 606654, "cell_id": 693, "source_relative_path": "03900420\\F\\03910424.F", "source_record_index": 2154, "object_class_id": 198, "object_class": "_texto", "geometry_type": "POINT", "scale_code": "F", "native_scale": 20000, "raw_geotype": 129, "coverage_id": 2200, "bbox_min_lon": 141.54897165355496, "bbox_min_lat": 40.52447661492469, "bbox_max_lon": 141.54897165355496, "bbox_max_lat": 40.52447661492469, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"_texta": {"text": "Area 5 Shirogane", "prefix": [0, 12, 0]}}, "suggested_source_id": "cm95:1:03900420/F/03910424.F:2154:point"}
|
||||
{"feature_id": 606655, "cell_id": 693, "source_relative_path": "03900420\\F\\03910424.F", "source_record_index": 2155, "object_class_id": 198, "object_class": "_texto", "geometry_type": "POINT", "scale_code": "F", "native_scale": 20000, "raw_geotype": 129, "coverage_id": 2200, "bbox_min_lon": 141.55846276366864, "bbox_min_lat": 40.53757809692398, "bbox_max_lon": 141.55846276366864, "bbox_max_lat": 40.53757809692398, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"_texta": {"text": "Kabu Island Marine Park", "prefix": [0, 12, 0]}}, "suggested_source_id": "cm95:1:03900420/F/03910424.F:2155:point"}
|
||||
{"feature_id": 606656, "cell_id": 693, "source_relative_path": "03900420\\F\\03910424.F", "source_record_index": 2156, "object_class_id": 198, "object_class": "_texto", "geometry_type": "POINT", "scale_code": "F", "native_scale": 20000, "raw_geotype": 129, "coverage_id": 2200, "bbox_min_lon": 141.55759299955852, "bbox_min_lat": 40.5390929653105, "bbox_max_lon": 141.55759299955852, "bbox_max_lat": 40.5390929653105, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"_texta": {"text": "Kabu Shima", "prefix": [0, 12, 0]}}, "suggested_source_id": "cm95:1:03900420/F/03910424.F:2156:point"}
|
||||
{"feature_id": 606657, "cell_id": 693, "source_relative_path": "03900420\\F\\03910424.F", "source_record_index": 2157, "object_class_id": 198, "object_class": "_texto", "geometry_type": "POINT", "scale_code": "F", "native_scale": 20000, "raw_geotype": 129, "coverage_id": 2200, "bbox_min_lon": 141.52664262172271, "bbox_min_lat": 40.53770010101532, "bbox_max_lon": 141.52664262172271, "bbox_max_lat": 40.53770010101532, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"_texta": {"text": "Kawaragi No 1 Wharf [Port Island]", "prefix": [0, 12, 0]}}, "suggested_source_id": "cm95:1:03900420/F/03910424.F:2157:point"}
|
||||
{"feature_id": 606658, "cell_id": 693, "source_relative_path": "03900420\\F\\03910424.F", "source_record_index": 2158, "object_class_id": 198, "object_class": "_texto", "geometry_type": "POINT", "scale_code": "F", "native_scale": 20000, "raw_geotype": 129, "coverage_id": 2200, "bbox_min_lon": 141.46334312259916, "bbox_min_lat": 40.5742963770966, "bbox_max_lon": 141.46334312259916, "bbox_max_lat": 40.5742963770966, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"_texta": {"text": "Kikyono Industrial Park", "prefix": [0, 12, 0]}}, "suggested_source_id": "cm95:1:03900420/F/03910424.F:2158:point"}
|
||||
{"feature_id": 606659, "cell_id": 693, "source_relative_path": "03900420\\F\\03910424.F", "source_record_index": 2159, "object_class_id": 198, "object_class": "_texto", "geometry_type": "POINT", "scale_code": "F", "native_scale": 20000, "raw_geotype": 129, "coverage_id": 2200, "bbox_min_lon": 141.56571079791942, "bbox_min_lat": 40.54243775472137, "bbox_max_lon": 141.56571079791942, "bbox_max_lat": 40.54243775472137, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"_texta": {"text": "O Saki", "prefix": [0, 12, 0]}}, "suggested_source_id": "cm95:1:03900420/F/03910424.F:2159:point"}
|
||||
{"feature_id": 606660, "cell_id": 693, "source_relative_path": "03900420\\F\\03910424.F", "source_record_index": 2160, "object_class_id": 198, "object_class": "_texto", "geometry_type": "POINT", "scale_code": "F", "native_scale": 20000, "raw_geotype": 129, "coverage_id": 2200, "bbox_min_lon": 141.51662761860706, "bbox_min_lat": 40.5377102680129, "bbox_max_lon": 141.51662761860706, "bbox_max_lat": 40.5377102680129, "geometry_repaired": 0, "geometry_issue": null, "attributes": {"_texta": {"text": "Pier for Tohoku Port", "prefix": [0, 12, 0]}}, "suggested_source_id": "cm95:1:03900420/F/03910424.F:2160:point"}
|
||||
@@ -0,0 +1,81 @@
|
||||
cm95_object_class_id,cm95_object_class,cm95_description,geometry_type,aoi_feature_count,aoi_cell_count,min_native_scale,max_native_scale,available_attributes,target_source_layer,canonical_family,canonical_object_type,chart_render_type,safety_class,mapping_status,notes
|
||||
176,WRECKS,Wreck,POINT,480,3,20000,200000,"[""CATWRK"", ""VALSOU"", ""WATLEV""]",,,,,,UNMAPPED,
|
||||
45,DEPCNT,Depth contour,LINE,451,6,20000,20000000,"[""QUAPOS"", ""VALDCO""]",,,,,,UNMAPPED,
|
||||
44,DEPARE,Depth area,AREA,414,6,20000,20000000,"[""DRVAL1"", ""DRVAL2""]",,,,,,UNMAPPED,
|
||||
138,SBDARE,Seabed area,POINT,287,3,20000,200000,"[""NATQUA"", ""NATSUR""]",,,,,,UNMAPPED,
|
||||
139,SLCONS,Shoreline construction,LINE,209,4,20000,1000000,"[""CATSLC"", ""CONDTN"", ""INFORM"", ""OBJNAM"", ""WATLEV""]",,,,,,UNMAPPED,
|
||||
168,UWTROC,Underwater rock,POINT,176,4,20000,1000000,"[""EXPSOU"", ""VALSOU"", ""WATLEV""]",,,,,,UNMAPPED,
|
||||
35,COALNE,Coastline,LINE,171,6,20000,20000000,"[""CATCOA""]",,,,,,UNMAPPED,
|
||||
81,LNDARE,Land area,AREA,159,6,20000,20000000,"[""OBJNAM""]",,,,,,UNMAPPED,
|
||||
139,SLCONS,Shoreline construction,AREA,119,2,20000,50000,"[""CATSLC"", ""CONDTN"", ""INFORM"", ""NATCON"", ""OBJNAM"", ""WATLEV""]",,,,,,UNMAPPED,
|
||||
198,_texto,Text,POINT,113,5,20000,3000000,"[""_texta""]",,,,,,UNMAPPED,
|
||||
86,LIGHTS,Light,POINT,96,4,20000,1000000,"[""CATLIT"", ""COLOUR"", ""HEIGHT"", ""INFORM"", ""LITCHR"", ""OBJNAM"", ""QUAVEM"", ""SECTR1"", ""SECTR2"", ""SIGGRP"", ""SIGPER"", ""SORIND"", ""STATUS"", ""VALNMR""]",,,,,,UNMAPPED,
|
||||
10,BRTFAC,Berthing facility,POINT,89,2,20000,50000,"[""OBJNAM""]",,,,,,UNMAPPED,
|
||||
177,ZEMCNT,Zero meter contour,LINE,84,3,20000,200000,[],,,,,,UNMAPPED,
|
||||
99,OBSTRN,Obstruction,AREA,70,4,20000,1000000,"[""INFORM"", ""VALSOU"", ""WATLEV""]",,,,,,UNMAPPED,
|
||||
78,ITDARE,Intertidal area,AREA,69,3,20000,200000,"[""NATSUR""]",,,,,,UNMAPPED,
|
||||
158,TOWERS,Tower,POINT,54,4,20000,1000000,"[""CATTOW"", ""COLOUR"", ""CONVIS"", ""HEIGHT"", ""INFORM"", ""NATCON"", ""QUAPOS"", ""SORIND"", ""VERLEN""]",,,,,,UNMAPPED,
|
||||
153,TNKCON,Tank,POINT,46,2,20000,50000,[],,,,,,UNMAPPED,
|
||||
201,_extgn,"Extended navigational aid, generic",POINT,42,2,20000,50000,"[""COLMAR"", ""INFORM""]",,,,,,UNMAPPED,
|
||||
14,BUAARE,Built-up area,POINT,35,3,20000,1000000,"[""OBJNAM""]",,,,,,UNMAPPED,
|
||||
33,CHIMNY,Chimney,POINT,35,3,20000,200000,"[""COLOUR"", ""CONVIS"", ""HEIGHT"", ""INFORM""]",,,,,,UNMAPPED,
|
||||
13,BUISGL,"Building, single",AREA,20,1,20000,20000,"[""CATBUI"", ""INFORM"", ""OBJNAM""]",,,,,,UNMAPPED,
|
||||
103,PILPNT,Pile,POINT,20,3,20000,200000,"[""INFORM""]",,,,,,UNMAPPED,
|
||||
60,FSHHAV,Fish haven,POINT,18,3,20000,200000,"[""INFORM""]",,,,,,UNMAPPED,
|
||||
11,BRIDGE,Bridge,AREA,17,3,20000,200000,"[""CATBRG"", ""INFORM"", ""OBJNAM"", ""VERCLR""]",,,,,,UNMAPPED,
|
||||
29,CTNARE,Caution area,AREA,16,4,20000,1000000,"[""INFORM""]",,,,,,UNMAPPED,
|
||||
193,$LINES,Cartographic line,LINE,15,2,20000,50000,"[""$SCODE""]",,,,,,UNMAPPED,
|
||||
7,BCNLAT,"Beacon, lateral",POINT,15,3,20000,200000,"[""BCNSHP"", ""CATLAM"", ""COLMAR"", ""INFORM"", ""SORIND"", ""VERLEN""]",,,,,,UNMAPPED,
|
||||
39,CRANES,Crane,POINT,15,2,20000,50000,"[""CATCRN""]",,,,,,UNMAPPED,
|
||||
111,PRDINS,Production installation,AREA,15,1,20000,20000,"[""INFORM"", ""OBJNAM"", ""PRODCT""]",,,,,,UNMAPPED,
|
||||
50,DRGARE,Dredged area,AREA,14,1,50000,50000,"[""DRVAL1"", ""INFORM""]",,,,,,UNMAPPED,
|
||||
29,CTNARE,Caution area,POINT,13,2,20000,50000,"[""INFORM""]",,,,,,UNMAPPED,
|
||||
9,BCNSPP,"Beacon, special purpose",POINT,12,4,20000,1000000,"[""CATSPM"", ""COLMAR"", ""INFORM"", ""SORIND"", ""VERLEN""]",,,,,,UNMAPPED,
|
||||
13,BUISGL,"Building, single",POINT,12,3,20000,200000,"[""BUISHP"", ""CATBUI"", ""CONVIS"", ""INFORM"", ""OBJNAM"", ""QUAPOS""]",,,,,,UNMAPPED,
|
||||
22,CBLSUB,"Cable, submarine",LINE,12,3,20000,200000,"[""CATCBL"", ""STATUS""]",,,,,,UNMAPPED,
|
||||
111,PRDINS,Production installation,POINT,12,1,20000,20000,"[""INFORM"", ""OBJNAM"", ""PRODCT"", ""QUAPOS""]",,,,,,UNMAPPED,
|
||||
194,$AREAS,Cartographic area,AREA,11,3,20000,200000,"[""$SCODE""]",,,,,,UNMAPPED,
|
||||
153,TNKCON,Tank,AREA,11,1,50000,50000,[],,,,,,UNMAPPED,
|
||||
138,SBDARE,Seabed area,AREA,9,3,20000,200000,"[""NATSUR""]",,,,,,UNMAPPED,
|
||||
20,BOYSPP,"Buoy, special purpose",POINT,8,2,20000,50000,"[""BOYSHP"", ""CATSPM"", ""COLMAR"", ""INFORM"", ""STATUS""]",,,,,,UNMAPPED,
|
||||
96,MORFAC,Mooring/Warping facility,POINT,7,1,50000,50000,"[""CATMOR"", ""INFORM""]",,,,,,UNMAPPED,
|
||||
210,M_PROD,Production information,AREA,7,7,20000,20000000,"[""CPDATE""]",,,,,,UNMAPPED,
|
||||
130,RIVBNK,River bank,LINE,7,2,20000,200000,[],,,,,,UNMAPPED,
|
||||
38,CTRPNT,Control point,POINT,6,2,20000,50000,"[""CATCTR"", ""OBJNAM""]",,,,,,UNMAPPED,
|
||||
99,OBSTRN,Obstruction,POINT,6,3,20000,200000,"[""EXPSOU"", ""INFORM"", ""VALSOU"", ""WATLEV""]",,,,,,UNMAPPED,
|
||||
217,_m_sor,Source of data,META,6,6,20000,20000000,"[""CSCALE"", ""HORDAT"", ""MARSYS"", ""NMDATE"", ""RECDAT"", ""SORIND"", ""VERDAT"", ""_chcod"", ""_dgdat"", ""_hvdat"", ""_quart"", ""_sorhd"", ""_wgsox"", ""_wgsoy""]",,,,,,UNMAPPED,
|
||||
191,$COMPS,Compass,POINT,5,2,20000,50000,"[""$ANNCH"", ""$CYEAR"", ""$VARIA""]",,,,,,UNMAPPED,
|
||||
12,BUIREL,"Building, religious",POINT,5,2,20000,50000,"[""CATREB""]",,,,,,UNMAPPED,
|
||||
21,CBLOHD,"Cable, overhead",LINE,5,2,20000,50000,"[""CATCBL"", ""QUAVEM"", ""VERCLR""]",,,,,,UNMAPPED,
|
||||
57,FAIRWY,Fairway,AREA,5,2,20000,50000,"[""OBJNAM""]",,,,,,UNMAPPED,
|
||||
129,RIVERS,River,AREA,5,2,20000,200000,"[""OBJNAM""]",,,,,,UNMAPPED,
|
||||
142,SILBUI,Silo,POINT,5,2,20000,50000,"[""INFORM"", ""QUAPOS""]",,,,,,UNMAPPED,
|
||||
154,TELPHC,Telepheric,LINE,5,2,20000,50000,[],,,,,,UNMAPPED,
|
||||
11,BRIDGE,Bridge,LINE,4,2,20000,200000,[],,,,,,UNMAPPED,
|
||||
72,HRBARE,Harbour area (administrative),AREA,4,2,20000,50000,"[""OBJNAM""]",,,,,,UNMAPPED,
|
||||
95,MONUMT,Monument,POINT,4,2,20000,50000,"[""CONVIS""]",,,,,,UNMAPPED,
|
||||
140,SISTAT,"Signal station, traffic",POINT,4,2,20000,50000,"[""CATSIT""]",,,,,,UNMAPPED,
|
||||
147,SOUNDG,Spot soundings,SOUNDING,4,4,20000,1000000,[],,,,,,UNMAPPED,
|
||||
1,AIRARE,Airport area,POINT,3,2,20000,200000,"[""OBJNAM""]",,,,,,UNMAPPED,
|
||||
14,BUAARE,Built-up area,AREA,3,1,200000,200000,"[""OBJNAM""]",,,,,,UNMAPPED,
|
||||
79,LAKARE,Lake,AREA,3,2,20000,200000,"[""OBJNAM""]",,,,,,UNMAPPED,
|
||||
80,LAKSHR,Lake shore,LINE,3,2,20000,200000,[],,,,,,UNMAPPED,
|
||||
97,NATARE,National territorial area,AREA,3,3,20000,1000000,"[""INFORM"", ""NATION""]",,,,,,UNMAPPED,
|
||||
104,PILBOP,Pilot boarding place,POINT,3,2,20000,50000,[],,,,,,UNMAPPED,
|
||||
143,SLIPWY,Slipway,AREA,3,2,20000,50000,"[""OBJNAM"", ""WATLEV""]",,,,,,UNMAPPED,
|
||||
155,TESARE,Territorial sea area,AREA,3,3,20000,1000000,"[""INFORM"", ""NATION""]",,,,,,UNMAPPED,
|
||||
4,ACHARE,Anchorage area,AREA,2,2,20000,50000,"[""CATACH""]",,,,,,UNMAPPED,
|
||||
36,CONZNE,Contiguous zone,AREA,2,2,200000,1000000,"[""INFORM"", ""NATION"", ""SORIND""]",,,,,,UNMAPPED,
|
||||
56,EXEZNE,Exclusive economic zone,AREA,2,2,200000,1000000,"[""INFORM"", ""NATION"", ""SORIND""]",,,,,,UNMAPPED,
|
||||
96,MORFAC,Mooring/Warping facility,AREA,2,1,20000,20000,"[""CATMOR"", ""INFORM""]",,,,,,UNMAPPED,
|
||||
106,PIPOHD,"Pipeline, overhead",LINE,2,1,20000,20000,[],,,,,,UNMAPPED,
|
||||
107,PIPSOL,"Pipeline, submarine/on land",LINE,2,2,20000,50000,"[""CATPIP"", ""INFORM"", ""PRODCT""]",,,,,,UNMAPPED,
|
||||
112,PYLONS,Pylon,POINT,2,1,50000,50000,"[""INFORM""]",,,,,,UNMAPPED,
|
||||
136,SEAARE,Sea area,AREA,2,1,200000,200000,"[""OBJNAM""]",,,,,,UNMAPPED,
|
||||
73,HRBFAC,Harbour facility,POINT,1,1,20000,20000,"[""OBJNAM""]",,,,,,UNMAPPED,
|
||||
73,HRBFAC,Harbour facility,AREA,1,1,20000,20000,"[""CATHAF""]",,,,,,UNMAPPED,
|
||||
127,RSCSTA,Rescue station,POINT,1,1,20000,20000,[],,,,,,UNMAPPED,
|
||||
118,RTPBCN,Radar transponder beacon,POINT,1,1,50000,50000,"[""CATRTB"", ""SORIND""]",,,,,,UNMAPPED,
|
||||
142,SILBUI,Silo,AREA,1,1,20000,20000,[],,,,,,UNMAPPED,
|
||||
141,SISTAW,"Signal station, warning",POINT,1,1,20000,20000,"[""CATSIW""]",,,,,,UNMAPPED,
|
||||
176,WRECKS,Wreck,AREA,1,1,20000,20000,"[""CATWRK"", ""VALSOU"", ""WATLEV""]",,,,,,UNMAPPED,
|
||||
|
@@ -0,0 +1,627 @@
|
||||
{
|
||||
"version": "v2.0",
|
||||
"generated_at": "2026-09-03T08:30:30",
|
||||
"database": "cm93_chart",
|
||||
"dataset_id": 1,
|
||||
"read_only": true,
|
||||
"aoi": {
|
||||
"tile": {
|
||||
"z": 10,
|
||||
"x": 914,
|
||||
"y": 385
|
||||
},
|
||||
"bbox_wgs84": {
|
||||
"min_lon": 141.328125,
|
||||
"min_lat": 40.44694705960049,
|
||||
"max_lon": 141.6796875,
|
||||
"max_lat": 40.71395582628604
|
||||
},
|
||||
"known_navsea_samples_inside": [
|
||||
"z10/914/385",
|
||||
"z11/1828-1829/770-771",
|
||||
"z12/3656-3659/1540-1543"
|
||||
]
|
||||
},
|
||||
"dataset": {
|
||||
"id": 1,
|
||||
"source_type": "CM93",
|
||||
"name": "CM93JAPAN",
|
||||
"source_root": "D:\\Ship\\CM93V2\\CM93JAPAN",
|
||||
"parser_version": "0.2.0",
|
||||
"normalized_srid": 4326
|
||||
},
|
||||
"warnings": [],
|
||||
"counts": {
|
||||
"aoi_cells": 7,
|
||||
"aoi_spatial_features": 3605,
|
||||
"object_class_geometry_groups": 80,
|
||||
"attribute_group_count": 177,
|
||||
"sample_feature_count": 600,
|
||||
"related_sample_count": 0
|
||||
},
|
||||
"geometry_counts": [
|
||||
{
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 1632
|
||||
},
|
||||
{
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 970
|
||||
},
|
||||
{
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 993
|
||||
},
|
||||
{
|
||||
"geometry_type": "SOUNDING",
|
||||
"feature_count": 4
|
||||
},
|
||||
{
|
||||
"geometry_type": "META",
|
||||
"feature_count": 6
|
||||
}
|
||||
],
|
||||
"object_classes": [
|
||||
{
|
||||
"object_class_id": 176,
|
||||
"object_class": "WRECKS",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 480,
|
||||
"description": "Wreck"
|
||||
},
|
||||
{
|
||||
"object_class_id": 45,
|
||||
"object_class": "DEPCNT",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 451,
|
||||
"description": "Depth contour"
|
||||
},
|
||||
{
|
||||
"object_class_id": 44,
|
||||
"object_class": "DEPARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 414,
|
||||
"description": "Depth area"
|
||||
},
|
||||
{
|
||||
"object_class_id": 138,
|
||||
"object_class": "SBDARE",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 287,
|
||||
"description": "Seabed area"
|
||||
},
|
||||
{
|
||||
"object_class_id": 139,
|
||||
"object_class": "SLCONS",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 209,
|
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"description": "Shoreline construction"
|
||||
},
|
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{
|
||||
"object_class_id": 168,
|
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"object_class": "UWTROC",
|
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"geometry_type": "POINT",
|
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"feature_count": 176,
|
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"description": "Underwater rock"
|
||||
},
|
||||
{
|
||||
"object_class_id": 35,
|
||||
"object_class": "COALNE",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 171,
|
||||
"description": "Coastline"
|
||||
},
|
||||
{
|
||||
"object_class_id": 81,
|
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"object_class": "LNDARE",
|
||||
"geometry_type": "AREA",
|
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"feature_count": 159,
|
||||
"description": "Land area"
|
||||
},
|
||||
{
|
||||
"object_class_id": 139,
|
||||
"object_class": "SLCONS",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 119,
|
||||
"description": "Shoreline construction"
|
||||
},
|
||||
{
|
||||
"object_class_id": 198,
|
||||
"object_class": "_texto",
|
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"geometry_type": "POINT",
|
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"feature_count": 113,
|
||||
"description": "Text"
|
||||
},
|
||||
{
|
||||
"object_class_id": 86,
|
||||
"object_class": "LIGHTS",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 96,
|
||||
"description": "Light"
|
||||
},
|
||||
{
|
||||
"object_class_id": 10,
|
||||
"object_class": "BRTFAC",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 89,
|
||||
"description": "Berthing facility"
|
||||
},
|
||||
{
|
||||
"object_class_id": 177,
|
||||
"object_class": "ZEMCNT",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 84,
|
||||
"description": "Zero meter contour"
|
||||
},
|
||||
{
|
||||
"object_class_id": 99,
|
||||
"object_class": "OBSTRN",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 70,
|
||||
"description": "Obstruction"
|
||||
},
|
||||
{
|
||||
"object_class_id": 78,
|
||||
"object_class": "ITDARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 69,
|
||||
"description": "Intertidal area"
|
||||
},
|
||||
{
|
||||
"object_class_id": 158,
|
||||
"object_class": "TOWERS",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 54,
|
||||
"description": "Tower"
|
||||
},
|
||||
{
|
||||
"object_class_id": 153,
|
||||
"object_class": "TNKCON",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 46,
|
||||
"description": "Tank"
|
||||
},
|
||||
{
|
||||
"object_class_id": 201,
|
||||
"object_class": "_extgn",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 42,
|
||||
"description": "Extended navigational aid, generic"
|
||||
},
|
||||
{
|
||||
"object_class_id": 14,
|
||||
"object_class": "BUAARE",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 35,
|
||||
"description": "Built-up area"
|
||||
},
|
||||
{
|
||||
"object_class_id": 33,
|
||||
"object_class": "CHIMNY",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 35,
|
||||
"description": "Chimney"
|
||||
},
|
||||
{
|
||||
"object_class_id": 13,
|
||||
"object_class": "BUISGL",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 20,
|
||||
"description": "Building, single"
|
||||
},
|
||||
{
|
||||
"object_class_id": 103,
|
||||
"object_class": "PILPNT",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 20,
|
||||
"description": "Pile"
|
||||
},
|
||||
{
|
||||
"object_class_id": 60,
|
||||
"object_class": "FSHHAV",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 18,
|
||||
"description": "Fish haven"
|
||||
},
|
||||
{
|
||||
"object_class_id": 11,
|
||||
"object_class": "BRIDGE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 17,
|
||||
"description": "Bridge"
|
||||
},
|
||||
{
|
||||
"object_class_id": 29,
|
||||
"object_class": "CTNARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 16,
|
||||
"description": "Caution area"
|
||||
},
|
||||
{
|
||||
"object_class_id": 193,
|
||||
"object_class": "$LINES",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 15,
|
||||
"description": "Cartographic line"
|
||||
},
|
||||
{
|
||||
"object_class_id": 7,
|
||||
"object_class": "BCNLAT",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 15,
|
||||
"description": "Beacon, lateral"
|
||||
},
|
||||
{
|
||||
"object_class_id": 39,
|
||||
"object_class": "CRANES",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 15,
|
||||
"description": "Crane"
|
||||
},
|
||||
{
|
||||
"object_class_id": 111,
|
||||
"object_class": "PRDINS",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 15,
|
||||
"description": "Production installation"
|
||||
},
|
||||
{
|
||||
"object_class_id": 50,
|
||||
"object_class": "DRGARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 14,
|
||||
"description": "Dredged area"
|
||||
},
|
||||
{
|
||||
"object_class_id": 29,
|
||||
"object_class": "CTNARE",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 13,
|
||||
"description": "Caution area"
|
||||
},
|
||||
{
|
||||
"object_class_id": 9,
|
||||
"object_class": "BCNSPP",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 12,
|
||||
"description": "Beacon, special purpose"
|
||||
},
|
||||
{
|
||||
"object_class_id": 13,
|
||||
"object_class": "BUISGL",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 12,
|
||||
"description": "Building, single"
|
||||
},
|
||||
{
|
||||
"object_class_id": 22,
|
||||
"object_class": "CBLSUB",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 12,
|
||||
"description": "Cable, submarine"
|
||||
},
|
||||
{
|
||||
"object_class_id": 111,
|
||||
"object_class": "PRDINS",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 12,
|
||||
"description": "Production installation"
|
||||
},
|
||||
{
|
||||
"object_class_id": 194,
|
||||
"object_class": "$AREAS",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 11,
|
||||
"description": "Cartographic area"
|
||||
},
|
||||
{
|
||||
"object_class_id": 153,
|
||||
"object_class": "TNKCON",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 11,
|
||||
"description": "Tank"
|
||||
},
|
||||
{
|
||||
"object_class_id": 138,
|
||||
"object_class": "SBDARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 9,
|
||||
"description": "Seabed area"
|
||||
},
|
||||
{
|
||||
"object_class_id": 20,
|
||||
"object_class": "BOYSPP",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 8,
|
||||
"description": "Buoy, special purpose"
|
||||
},
|
||||
{
|
||||
"object_class_id": 96,
|
||||
"object_class": "MORFAC",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 7,
|
||||
"description": "Mooring/Warping facility"
|
||||
},
|
||||
{
|
||||
"object_class_id": 210,
|
||||
"object_class": "M_PROD",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 7,
|
||||
"description": "Production information"
|
||||
},
|
||||
{
|
||||
"object_class_id": 130,
|
||||
"object_class": "RIVBNK",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 7,
|
||||
"description": "River bank"
|
||||
},
|
||||
{
|
||||
"object_class_id": 38,
|
||||
"object_class": "CTRPNT",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 6,
|
||||
"description": "Control point"
|
||||
},
|
||||
{
|
||||
"object_class_id": 99,
|
||||
"object_class": "OBSTRN",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 6,
|
||||
"description": "Obstruction"
|
||||
},
|
||||
{
|
||||
"object_class_id": 217,
|
||||
"object_class": "_m_sor",
|
||||
"geometry_type": "META",
|
||||
"feature_count": 6,
|
||||
"description": "Source of data"
|
||||
},
|
||||
{
|
||||
"object_class_id": 191,
|
||||
"object_class": "$COMPS",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 5,
|
||||
"description": "Compass"
|
||||
},
|
||||
{
|
||||
"object_class_id": 12,
|
||||
"object_class": "BUIREL",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 5,
|
||||
"description": "Building, religious"
|
||||
},
|
||||
{
|
||||
"object_class_id": 21,
|
||||
"object_class": "CBLOHD",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 5,
|
||||
"description": "Cable, overhead"
|
||||
},
|
||||
{
|
||||
"object_class_id": 57,
|
||||
"object_class": "FAIRWY",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 5,
|
||||
"description": "Fairway"
|
||||
},
|
||||
{
|
||||
"object_class_id": 129,
|
||||
"object_class": "RIVERS",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 5,
|
||||
"description": "River"
|
||||
},
|
||||
{
|
||||
"object_class_id": 142,
|
||||
"object_class": "SILBUI",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 5,
|
||||
"description": "Silo"
|
||||
},
|
||||
{
|
||||
"object_class_id": 154,
|
||||
"object_class": "TELPHC",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 5,
|
||||
"description": "Telepheric"
|
||||
},
|
||||
{
|
||||
"object_class_id": 11,
|
||||
"object_class": "BRIDGE",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 4,
|
||||
"description": "Bridge"
|
||||
},
|
||||
{
|
||||
"object_class_id": 72,
|
||||
"object_class": "HRBARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 4,
|
||||
"description": "Harbour area (administrative)"
|
||||
},
|
||||
{
|
||||
"object_class_id": 95,
|
||||
"object_class": "MONUMT",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 4,
|
||||
"description": "Monument"
|
||||
},
|
||||
{
|
||||
"object_class_id": 140,
|
||||
"object_class": "SISTAT",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 4,
|
||||
"description": "Signal station, traffic"
|
||||
},
|
||||
{
|
||||
"object_class_id": 147,
|
||||
"object_class": "SOUNDG",
|
||||
"geometry_type": "SOUNDING",
|
||||
"feature_count": 4,
|
||||
"description": "Spot soundings"
|
||||
},
|
||||
{
|
||||
"object_class_id": 1,
|
||||
"object_class": "AIRARE",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 3,
|
||||
"description": "Airport area"
|
||||
},
|
||||
{
|
||||
"object_class_id": 14,
|
||||
"object_class": "BUAARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 3,
|
||||
"description": "Built-up area"
|
||||
},
|
||||
{
|
||||
"object_class_id": 79,
|
||||
"object_class": "LAKARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 3,
|
||||
"description": "Lake"
|
||||
},
|
||||
{
|
||||
"object_class_id": 80,
|
||||
"object_class": "LAKSHR",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 3,
|
||||
"description": "Lake shore"
|
||||
},
|
||||
{
|
||||
"object_class_id": 97,
|
||||
"object_class": "NATARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 3,
|
||||
"description": "National territorial area"
|
||||
},
|
||||
{
|
||||
"object_class_id": 104,
|
||||
"object_class": "PILBOP",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 3,
|
||||
"description": "Pilot boarding place"
|
||||
},
|
||||
{
|
||||
"object_class_id": 143,
|
||||
"object_class": "SLIPWY",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 3,
|
||||
"description": "Slipway"
|
||||
},
|
||||
{
|
||||
"object_class_id": 155,
|
||||
"object_class": "TESARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 3,
|
||||
"description": "Territorial sea area"
|
||||
},
|
||||
{
|
||||
"object_class_id": 4,
|
||||
"object_class": "ACHARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 2,
|
||||
"description": "Anchorage area"
|
||||
},
|
||||
{
|
||||
"object_class_id": 36,
|
||||
"object_class": "CONZNE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 2,
|
||||
"description": "Contiguous zone"
|
||||
},
|
||||
{
|
||||
"object_class_id": 56,
|
||||
"object_class": "EXEZNE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 2,
|
||||
"description": "Exclusive economic zone"
|
||||
},
|
||||
{
|
||||
"object_class_id": 96,
|
||||
"object_class": "MORFAC",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 2,
|
||||
"description": "Mooring/Warping facility"
|
||||
},
|
||||
{
|
||||
"object_class_id": 106,
|
||||
"object_class": "PIPOHD",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 2,
|
||||
"description": "Pipeline, overhead"
|
||||
},
|
||||
{
|
||||
"object_class_id": 107,
|
||||
"object_class": "PIPSOL",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 2,
|
||||
"description": "Pipeline, submarine/on land"
|
||||
},
|
||||
{
|
||||
"object_class_id": 112,
|
||||
"object_class": "PYLONS",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 2,
|
||||
"description": "Pylon"
|
||||
},
|
||||
{
|
||||
"object_class_id": 136,
|
||||
"object_class": "SEAARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 2,
|
||||
"description": "Sea area"
|
||||
},
|
||||
{
|
||||
"object_class_id": 73,
|
||||
"object_class": "HRBFAC",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 1,
|
||||
"description": "Harbour facility"
|
||||
},
|
||||
{
|
||||
"object_class_id": 73,
|
||||
"object_class": "HRBFAC",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 1,
|
||||
"description": "Harbour facility"
|
||||
},
|
||||
{
|
||||
"object_class_id": 127,
|
||||
"object_class": "RSCSTA",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 1,
|
||||
"description": "Rescue station"
|
||||
},
|
||||
{
|
||||
"object_class_id": 118,
|
||||
"object_class": "RTPBCN",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 1,
|
||||
"description": "Radar transponder beacon"
|
||||
},
|
||||
{
|
||||
"object_class_id": 142,
|
||||
"object_class": "SILBUI",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 1,
|
||||
"description": "Silo"
|
||||
},
|
||||
{
|
||||
"object_class_id": 141,
|
||||
"object_class": "SISTAW",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 1,
|
||||
"description": "Signal station, warning"
|
||||
},
|
||||
{
|
||||
"object_class_id": 176,
|
||||
"object_class": "WRECKS",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 1,
|
||||
"description": "Wreck"
|
||||
}
|
||||
],
|
||||
"next_step": "Use AOI_对象映射准备表_v1.csv + 属性值域汇总_v1.csv to author cm95_to_navsea_v1.yaml."
|
||||
}
|
||||
@@ -0,0 +1,68 @@
|
||||
object_class_id,object_class,geometry_code,display_code,description,raw_line
|
||||
1,AIRARE,PA,6,Airport area,AIRARE|1|PA|6|Airport area|CATAIR|CONDTN|CONVIS|NATCON|NOBJNM|OBJNAM|STATUS|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
4,ACHARE,PA,6,Anchorage area,ACHARE|4|PA|6|Anchorage area|CATACH|DATEND|DATSTA|NOBJNM|OBJNAM|PEREND|PERSTA|STATUS|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
7,BCNLAT,P,8,"Beacon, lateral","BCNLAT|7|P|8|Beacon, lateral|BCNSHP|CATLAM|COLMAR|COLPAT|CONRAD|DATEND|DATSTA|MARSYS|NOBJNM|OBJNAM|PEREND|PERSTA|QUAVEM|STATUS|VERDAT|VERLEN|INFORM|NINFOM|PICREP|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND"
|
||||
9,BCNSPP,P,8,"Beacon, special purpose","BCNSPP|9|P|8|Beacon, special purpose|BCNSHP|CATSPM|COLMAR|COLPAT|CONRAD|DATEND|DATSTA|MARSYS|NOBJNM|OBJNAM|PEREND|PERSTA|QUAVEM|STATUS|VERDAT|VERLEN|INFORM|NINFOM|PICREP|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND"
|
||||
10,BRTFAC,PLA,6,Berthing facility,BRTFAC|10|PLA|6|Berthing facility|CONDTN|DATEND|DATSTA|NATCON|NOBJNM|OBJNAM|STATUS|WATLEV|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
11,BRIDGE,PLA,6,Bridge,BRIDGE|11|PLA|6|Bridge|CATBRG|COLOUR|CONDTN|CONRAD|CONVIS|DATEND|DATSTA|HORCLR|NATCON|NOBJNM|OBJNAM|QUAVEM|VERCCL|VERCLR|VERCOP|INFORM|NINFOM|PICREP|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
12,BUIREL,PA,6,"Building, religious","BUIREL|12|PA|6|Building, religious|BUISHP|CATREB|COLOUR|CONDTN|CONRAD|CONVIS|HEIGHT|NATCON|NOBJNM|OBJNAM|QUAVEM|VERDAT|VERLEN|INFORM|NINFOM|PICREP|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND|"
|
||||
13,BUISGL,PA,6,"Building, single","BUISGL|13|PA|6|Building, single|BUISHP|CATBUI|COLOUR|COLPAT|CONDTN|CONRAD|CONVIS|HEIGHT|NATCON|NOBJNM|OBJNAM|QUAVEM|VERDAT|VERLEN|INFORM|NINFOM|PICREP|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND"
|
||||
14,BUAARE,PA,6,Built-up area,BUAARE|14|PA|6|Built-up area|CATBUA|CONDTN|CONRAD|CONVIS|HEIGHT|NOBJNM|OBJNAM|QUAVEM|VERDAT|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
20,BOYSPP,P,8,"Buoy, special purpose","BOYSPP|20|P|8|Buoy, special purpose|BOYSHP|CATSPM|COLMAR|COLPAT|CONRAD|DATEND|DATSTA|MARSYS|NOBJNM|OBJNAM|PEREND|PERSTA|QUAVEM|STATUS|VERLEN|INFORM|NINFOM|PICREP|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND"
|
||||
21,CBLOHD,L,7,"Cable, overhead","CBLOHD|21|L|7|Cable, overhead|CATCBL|CONDTN|DATEND|DATSTA|NOBJNM|OBJNAM|QUAVEM|STATUS|VERCLR|VERCSA|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND"
|
||||
22,CBLSUB,L,7,"Cable, submarine","CBLSUB|22|L|7|Cable, submarine|BURDEP|CATCBL|CONDTN|DATEND|DATSTA|NOBJNM|OBJNAM|STATUS|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND"
|
||||
29,CTNARE,PA,6,Caution area,CTNARE|29|PA|6|Caution area|DATEND|DATSTA|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
33,CHIMNY,PA,6,Chimney,CHIMNY|33|PA|6|Chimney|COLOUR|COLPAT|CONDTN|CONRAD|CONVIS|HEIGHT|NATCON|NOBJNM|OBJNAM|QUAVEM|VERDAT|VERLEN|INFORM|NINFOM|PICREP|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
35,COALNE,L,7,Coastline,COALNE|35|L|7|Coastline|CATCOA|CONRAD|HEIGHT|NOBJNM|OBJNAM|QUAVEM|VERDAT|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
36,CONZNE,A,5,Contiguous zone,CONZNE|36|A|5|Contiguous zone|DATEND|DATSTA|NATION|STATUS|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
38,CTRPNT,P,8,Control point,CTRPNT|38|P|8|Control point|CATCTR|DATEND|DATSTA|HEIGHT|NOBJNM|OBJNAM|QUAVEM|VERDAT|INFORM|NINFOM|PICREP|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
39,CRANES,PA,6,Crane,CRANES|39|PA|6|Crane|CATCRN|COLOUR|CONDTN|CONRAD|CONVIS|HEIGHT|LIFCAP|NOBJNM|OBJNAM|ORIENT|QUAVEM|RADIUS|STATUS|VERDAT|VERLEN|INFORM|NINFOM|PICREP|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
44,DEPARE,A,1,Depth area,DEPARE|44|A|1|Depth area|DRVAL1|DRVAL2|VERDAT|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
45,DEPCNT,L,7,Depth contour,DEPCNT|45|L|7|Depth contour|VALDCO|VERDAT|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
50,DRGARE,A,5,Dredged area,DRGARE|50|A|5|Dredged area|DRVAL1|DRVAL2|NOBJNM|OBJNAM|QUASOU|TECSOU|VERDAT|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
56,EXEZNE,A,5,Exclusive economic zone,EXEZNE|56|A|5|Exclusive economic zone|NATION|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
57,FAIRWY,A,5,Fairway,FAIRWY|57|A|5|Fairway|DATEND|DATSTA|DRVAL1|DRVAL2|NOBJNM|OBJNAM|QUASOU|STATUS|TECSOU|TRAFIC|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
60,FSHHAV,PA,6,Fish haven,FSHHAV|60|PA|6|Fish haven|EXPSOU|NOBJNM|OBJNAM|QUASOU|TECSOU|VALSOU|VERDAT|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
72,HRBARE,A,5,Harbour area (administrative),HRBARE|72|A|5|Harbour area (administrative)|NOBJNM|OBJNAM|STATUS|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
73,HRBFAC,PA,6,Harbour facility,HRBFAC|73|PA|6|Harbour facility|CATHAF|CONDTN|DATEND|DATSTA|NATCON|NOBJNM|OBJNAM|PEREND|PERSTA|STATUS|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
78,ITDARE,PLA,1,Intertidal area,ITDARE|78|PLA|1|Intertidal area|NATQUA|NATSUR|NOBJNM|OBJNAM|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
79,LAKARE,A,1,Lake,LAKARE|79|A|1|Lake|HEIGHT|NOBJNM|OBJNAM|QUAVEM|VERDAT|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
80,LAKSHR,L,7,Lake shore,LAKSHR|80|L|7|Lake shore|NOBJNM|OBJNAM|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
81,LNDARE,PA,1,Land area,LNDARE|81|PA|1|Land area|NOBJNM|OBJNAM|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
86,LIGHTS,P,8,Light,LIGHTS|86|P|8|Light|CATLIT|COLOUR|DATEND|DATSTA|EXCLIT|HEIGHT|LITCHR|LITVIS|MARSYS|NOBJNM|OBJNAM|ORIENT|PEREND|PERSTA|QUAVEM|SECTR1|SECTR2|SIGGRP|SIGPER|SIGSEQ|STATUS|SUPLIT|VALNMR|VERDAT|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
95,MONUMT,P,8,Monument,MONUMT|95|P|8|Monument|BUISHP|CATMNT|COLOUR|CONDTN|CONRAD|CONVIS|HEIGHT|NATCON|NOBJNM|OBJNAM|QUAVEM|VERDAT|VERLEN|INFORM|NINFOM|PICREP|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
96,MORFAC,PA,6,Mooring/Warping facility,MORFAC|96|PA|6|Mooring/Warping facility|CATMOR|COLOUR|CONDTN|CONRAD|DATEND|DATSTA|NATCON|NOBJNM|OBJNAM|PEREND|PERSTA|STATUS|INFORM|NINFOM|PICREP|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
97,NATARE,A,5,National territorial area,NATARE|97|A|5|National territorial area|NATION|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
99,OBSTRN,PA,6,Obstruction,OBSTRN|99|PA|6|Obstruction|EXPSOU|NOBJNM|OBJNAM|QUASOU|TECSOU|VALSOU|VERDAT|WATLEV|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
103,PILPNT,P,8,Pile,PILPNT|103|P|8|Pile|CATPLE|CONDTN|DATEND|DATSTA|EXPSOU|HEIGHT|QUASOU|QUAVEM|TECSOU|VALSOU|VERDAT|VERLEN|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
104,PILBOP,PA,8,Pilot boarding place,PILBOP|104|PA|8|Pilot boarding place|CATPIL|COMCHA|DATEND|DATSTA|NOBJNM|NPLDST|OBJNAM|PILDST|STATUS|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
106,PIPOHD,L,7,"Pipeline, overhead","PIPOHD|106|L|7|Pipeline, overhead|CATPIP|CONDTN|DATEND|DATSTA|NOBJNM|OBJNAM|PRODCT|QUAVEM|STATUS|VERCLR|VERDAT|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND"
|
||||
107,PIPSOL,L,7,"Pipeline, submarine/on land","PIPSOL|107|L|7|Pipeline, submarine/on land|BURDEP|CATPIP|CONDTN|DATEND|DATSTA|NOBJNM|OBJNAM|PRODCT|STATUS|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND"
|
||||
111,PRDINS,PA,6,Production installation,PRDINS|111|PA|6|Production installation|CATPRI|CONDTN|CONRAD|CONVIS|DATEND|DATSTA|EXPSOU|HEIGHT|NOBJNM|OBJNAM|PRODCT|QUASOU|QUAVEM|STATUS|TECSOU|VALSOU|VERDAT|WATLEV|INFORM|NINFOM|PICREP|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
112,PYLONS,PA,6,Pylon,PYLONS|112|PA|6|Pylon|COLOUR|COLPAT|CONDTN|CONRAD|CONVIS|HEIGHT|NATCON|NOBJNM|OBJNAM|QUAVEM|VERDAT|VERLEN|INFORM|NINFOM|PICREP|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
118,RTPBCN,P,8,Radar transponder beacon,RTPBCN|118|P|8|Radar transponder beacon|CATRTB|DATEND|DATSTA|NOBJNM|OBJNAM|RADWAL|SECTR1|SECTR2|SIGGRP|SIGSEQ|STATUS|VALMXR|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
127,RSCSTA,P,8,Rescue station,RSCSTA|127|P|8|Rescue station|CATRSC|DATEND|DATSTA|NOBJNM|OBJNAM|STATUS|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
129,RIVERS,LA,1,River,RIVERS|129|LA|1|River|NOBJNM|OBJNAM|STATUS|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
130,RIVBNK,L,7,River bank,RIVBNK|130|L|7|River bank|NOBJNM|OBJNAM|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
136,SEAARE,A,5,Sea area,SEAARE|136|A|5|Sea area|CATSEA|NOBJNM|OBJNAM|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
138,SBDARE,PA,6,Seabed area,SBDARE|138|PA|6|Seabed area|COLOUR|NATQUA|NATSUR|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
139,SLCONS,LA,7,Shoreline construction,SLCONS|139|LA|7|Shoreline construction|CATSLC|CONDTN|CONRAD|CONVIS|DATEND|DATSTA|HEIGHT|NATCON|NOBJNM|OBJNAM|QUAVEM|STATUS|VERDAT|VERLEN|WATLEV|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
140,SISTAT,P,8,"Signal station, traffic","SISTAT|140|P|8|Signal station, traffic|CATSIT|COMCHA|DATEND|DATSTA|NOBJNM|OBJNAM|PEREND|PERSTA|STATUS|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND"
|
||||
141,SISTAW,P,8,"Signal station, warning","SISTAW|141|P|8|Signal station, warning|CATSIW|COMCHA|DATEND|DATSTA|NOBJNM|OBJNAM|PEREND|PERSTA|STATUS|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND"
|
||||
142,SILBUI,PA,6,Silo,SILBUI|142|PA|6|Silo|BUISHP|COLOUR|COLPAT|CONDTN|CONRAD|CONVIS|HEIGHT|NATCON|NOBJNM|OBJNAM|PRODCT|QUAVEM|VERDAT|VERLEN|INFORM|NINFOM|PICREP|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
143,SLIPWY,LA,6,Slipway,SLIPWY|143|LA|6|Slipway|CONDTN|HORCLR|HORLEN|HORWID|NATCON|NOBJNM|OBJNAM|STATUS|WATLEV|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
147,SOUNDG,S,7,Spot soundings,SOUNDG|147|S|7|Spot soundings|EXPSOU|NOBJNM|OBJNAM|QUASOU|TECSOU|VERDAT|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
153,TNKCON,PA,6,Tank,TNKCON|153|PA|6|Tank|COLOUR|COLPAT|CONDTN|CONRAD|CONVIS|HEIGHT|NOBJNM|OBJNAM|PRODCT|QUAVEM|VERDAT|VERLEN|INFORM|NINFOM|PICREP|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
154,TELPHC,L,7,Telepheric,TELPHC|154|L|7|Telepheric|CONDTN|CONRAD|CONVIS|DATEND|DATSTA|LIFCAP|NOBJNM|OBJNAM|QUAVEM|STATUS|VERCLR|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
155,TESARE,A,5,Territorial sea area,TESARE|155|A|5|Territorial sea area|NATION|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
158,TOWERS,PA,6,Tower,TOWERS|158|PA|6|Tower|CATTOW|COLOUR|COLPAT|CONDTN|CONRAD|CONVIS|HEIGHT|NATCON|NOBJNM|OBJNAM|QUAVEM|VERDAT|VERLEN|INFORM|NINFOM|PICREP|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
168,UWTROC,P,8,Underwater rock,UWTROC|168|P|8|Underwater rock|EXPSOU|NOBJNM|OBJNAM|QUASOU|TECSOU|VALSOU|VERDAT|WATLEV|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
176,WRECKS,PA,8,Wreck,WRECKS|176|PA|8|Wreck|CATWRK|CONRAD|CONVIS|EXPSOU|HEIGHT|NOBJNM|OBJNAM|QUASOU|QUAVEM|TECSOU|VALSOU|VERDAT|WATLEV|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
177,ZEMCNT,L,7,Zero meter contour,ZEMCNT|177|L|7|Zero meter contour|VERDAT|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
191,$COMPS,P,8,Compass,$COMPS|191|P|8|Compass|$CSIZE|$VARIA|$CYEAR|$ANNCH|SCAMIN|SCAMAX
|
||||
193,$LINES,L,7,Cartographic line,$LINES|193|L|7|Cartographic line|$SCODE|SCAMIN|SCAMAX
|
||||
194,$AREAS,A,5,Cartographic area,$AREAS|194|A|5|Cartographic area|$SCODE|$ROTAT|SCAMIN|SCAMAX
|
||||
198,_texto,P,8,Text,_texto|198|P|8|Text|$JUSTH|$JUSTV|$SPACE|$CHARS|$COLOR|$ROTAT|_texta|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND
|
||||
201,_extgn,P,8,"Extended navigational aid, generic","_extgn|201|P|8|Extended navigational aid, generic|CATCAM|CATLAM|COLMAR|MARSYS|NOBJNM|OBJNAM|INFORM|NINFOM|SCAMAX|SCAMIN|RECDAT|RECIND|SORDAT|SORIND"
|
||||
210,M_PROD,A,0,Production information,M_PROD|210|A|0|Production information|AGENCY|CPDATE|NMDATE|PRCTRY|INFORM|NINFOM|RECDAT|RECIND|SORDAT|SORIND
|
||||
217,_m_sor,A,0,Source of data,_m_sor|217|A|0|Source of data|CSCALE|DUNITS|HUNITS|HORACC|NMDATE|HORDAT|_sorhd|_wgsox|_wgsoy|SORDAT|SORIND|VERACC|VERDAT|_hvdat|MARSYS|_chcod|_dgdat|_quart|INFORM|NINFOM|RECDAT|RECIND
|
||||
|
@@ -0,0 +1,204 @@
|
||||
object_class_id,object_class,geometry_type,scale_code,native_scale,feature_count
|
||||
194,$AREAS,AREA,F,20000,3
|
||||
194,$AREAS,AREA,E,50000,7
|
||||
194,$AREAS,AREA,C,200000,1
|
||||
191,$COMPS,POINT,F,20000,4
|
||||
191,$COMPS,POINT,E,50000,1
|
||||
193,$LINES,LINE,F,20000,6
|
||||
193,$LINES,LINE,E,50000,9
|
||||
4,ACHARE,AREA,F,20000,1
|
||||
4,ACHARE,AREA,E,50000,1
|
||||
1,AIRARE,POINT,F,20000,1
|
||||
1,AIRARE,POINT,C,200000,2
|
||||
7,BCNLAT,POINT,F,20000,5
|
||||
7,BCNLAT,POINT,E,50000,5
|
||||
7,BCNLAT,POINT,C,200000,5
|
||||
9,BCNSPP,POINT,F,20000,4
|
||||
9,BCNSPP,POINT,E,50000,3
|
||||
9,BCNSPP,POINT,C,200000,3
|
||||
9,BCNSPP,POINT,B,1000000,2
|
||||
20,BOYSPP,POINT,F,20000,6
|
||||
20,BOYSPP,POINT,E,50000,2
|
||||
11,BRIDGE,LINE,F,20000,1
|
||||
11,BRIDGE,LINE,C,200000,3
|
||||
11,BRIDGE,AREA,F,20000,12
|
||||
11,BRIDGE,AREA,E,50000,4
|
||||
11,BRIDGE,AREA,C,200000,1
|
||||
10,BRTFAC,POINT,F,20000,45
|
||||
10,BRTFAC,POINT,E,50000,44
|
||||
14,BUAARE,POINT,F,20000,25
|
||||
14,BUAARE,POINT,C,200000,8
|
||||
14,BUAARE,POINT,B,1000000,2
|
||||
14,BUAARE,AREA,C,200000,3
|
||||
12,BUIREL,POINT,F,20000,4
|
||||
12,BUIREL,POINT,E,50000,1
|
||||
13,BUISGL,POINT,F,20000,9
|
||||
13,BUISGL,POINT,E,50000,2
|
||||
13,BUISGL,POINT,C,200000,1
|
||||
13,BUISGL,AREA,F,20000,20
|
||||
21,CBLOHD,LINE,F,20000,4
|
||||
21,CBLOHD,LINE,E,50000,1
|
||||
22,CBLSUB,LINE,F,20000,5
|
||||
22,CBLSUB,LINE,E,50000,4
|
||||
22,CBLSUB,LINE,C,200000,3
|
||||
33,CHIMNY,POINT,F,20000,17
|
||||
33,CHIMNY,POINT,E,50000,17
|
||||
33,CHIMNY,POINT,C,200000,1
|
||||
35,COALNE,LINE,F,20000,108
|
||||
35,COALNE,LINE,E,50000,49
|
||||
35,COALNE,LINE,C,200000,9
|
||||
35,COALNE,LINE,B,1000000,2
|
||||
35,COALNE,LINE,A,3000000,1
|
||||
35,COALNE,LINE,Z,20000000,2
|
||||
36,CONZNE,AREA,C,200000,1
|
||||
36,CONZNE,AREA,B,1000000,1
|
||||
39,CRANES,POINT,F,20000,7
|
||||
39,CRANES,POINT,E,50000,8
|
||||
29,CTNARE,POINT,F,20000,3
|
||||
29,CTNARE,POINT,E,50000,10
|
||||
29,CTNARE,AREA,F,20000,9
|
||||
29,CTNARE,AREA,E,50000,2
|
||||
29,CTNARE,AREA,C,200000,2
|
||||
29,CTNARE,AREA,B,1000000,3
|
||||
38,CTRPNT,POINT,F,20000,5
|
||||
38,CTRPNT,POINT,E,50000,1
|
||||
44,DEPARE,AREA,F,20000,239
|
||||
44,DEPARE,AREA,E,50000,150
|
||||
44,DEPARE,AREA,C,200000,18
|
||||
44,DEPARE,AREA,B,1000000,2
|
||||
44,DEPARE,AREA,A,3000000,2
|
||||
44,DEPARE,AREA,Z,20000000,3
|
||||
45,DEPCNT,LINE,F,20000,257
|
||||
45,DEPCNT,LINE,E,50000,164
|
||||
45,DEPCNT,LINE,C,200000,26
|
||||
45,DEPCNT,LINE,B,1000000,1
|
||||
45,DEPCNT,LINE,A,3000000,1
|
||||
45,DEPCNT,LINE,Z,20000000,2
|
||||
50,DRGARE,AREA,E,50000,14
|
||||
56,EXEZNE,AREA,C,200000,1
|
||||
56,EXEZNE,AREA,B,1000000,1
|
||||
57,FAIRWY,AREA,F,20000,2
|
||||
57,FAIRWY,AREA,E,50000,3
|
||||
60,FSHHAV,POINT,F,20000,4
|
||||
60,FSHHAV,POINT,E,50000,4
|
||||
60,FSHHAV,POINT,C,200000,10
|
||||
72,HRBARE,AREA,F,20000,1
|
||||
72,HRBARE,AREA,E,50000,3
|
||||
73,HRBFAC,POINT,F,20000,1
|
||||
73,HRBFAC,AREA,F,20000,1
|
||||
78,ITDARE,AREA,F,20000,40
|
||||
78,ITDARE,AREA,E,50000,15
|
||||
78,ITDARE,AREA,C,200000,14
|
||||
79,LAKARE,AREA,F,20000,1
|
||||
79,LAKARE,AREA,C,200000,2
|
||||
80,LAKSHR,LINE,F,20000,1
|
||||
80,LAKSHR,LINE,C,200000,2
|
||||
86,LIGHTS,POINT,F,20000,41
|
||||
86,LIGHTS,POINT,E,50000,35
|
||||
86,LIGHTS,POINT,C,200000,17
|
||||
86,LIGHTS,POINT,B,1000000,3
|
||||
81,LNDARE,AREA,F,20000,95
|
||||
81,LNDARE,AREA,E,50000,53
|
||||
81,LNDARE,AREA,C,200000,6
|
||||
81,LNDARE,AREA,B,1000000,2
|
||||
81,LNDARE,AREA,A,3000000,1
|
||||
81,LNDARE,AREA,Z,20000000,2
|
||||
95,MONUMT,POINT,F,20000,2
|
||||
95,MONUMT,POINT,E,50000,2
|
||||
96,MORFAC,POINT,E,50000,7
|
||||
96,MORFAC,AREA,F,20000,2
|
||||
210,M_PROD,AREA,F,20000,1
|
||||
210,M_PROD,AREA,E,50000,1
|
||||
210,M_PROD,AREA,D,100000,1
|
||||
210,M_PROD,AREA,C,200000,1
|
||||
210,M_PROD,AREA,B,1000000,1
|
||||
210,M_PROD,AREA,A,3000000,1
|
||||
210,M_PROD,AREA,Z,20000000,1
|
||||
97,NATARE,AREA,F,20000,1
|
||||
97,NATARE,AREA,C,200000,1
|
||||
97,NATARE,AREA,B,1000000,1
|
||||
99,OBSTRN,POINT,F,20000,2
|
||||
99,OBSTRN,POINT,E,50000,3
|
||||
99,OBSTRN,POINT,C,200000,1
|
||||
99,OBSTRN,AREA,F,20000,41
|
||||
99,OBSTRN,AREA,E,50000,16
|
||||
99,OBSTRN,AREA,C,200000,11
|
||||
99,OBSTRN,AREA,B,1000000,2
|
||||
104,PILBOP,POINT,F,20000,2
|
||||
104,PILBOP,POINT,E,50000,1
|
||||
103,PILPNT,POINT,F,20000,7
|
||||
103,PILPNT,POINT,E,50000,12
|
||||
103,PILPNT,POINT,C,200000,1
|
||||
106,PIPOHD,LINE,F,20000,2
|
||||
107,PIPSOL,LINE,F,20000,1
|
||||
107,PIPSOL,LINE,E,50000,1
|
||||
111,PRDINS,POINT,F,20000,12
|
||||
111,PRDINS,AREA,F,20000,15
|
||||
112,PYLONS,POINT,E,50000,2
|
||||
130,RIVBNK,LINE,F,20000,4
|
||||
130,RIVBNK,LINE,C,200000,3
|
||||
129,RIVERS,AREA,F,20000,2
|
||||
129,RIVERS,AREA,C,200000,3
|
||||
127,RSCSTA,POINT,F,20000,1
|
||||
118,RTPBCN,POINT,E,50000,1
|
||||
138,SBDARE,POINT,F,20000,211
|
||||
138,SBDARE,POINT,E,50000,67
|
||||
138,SBDARE,POINT,C,200000,9
|
||||
138,SBDARE,AREA,F,20000,7
|
||||
138,SBDARE,AREA,E,50000,1
|
||||
138,SBDARE,AREA,C,200000,1
|
||||
136,SEAARE,AREA,C,200000,2
|
||||
142,SILBUI,POINT,F,20000,2
|
||||
142,SILBUI,POINT,E,50000,3
|
||||
142,SILBUI,AREA,F,20000,1
|
||||
140,SISTAT,POINT,F,20000,2
|
||||
140,SISTAT,POINT,E,50000,2
|
||||
141,SISTAW,POINT,F,20000,1
|
||||
139,SLCONS,LINE,F,20000,107
|
||||
139,SLCONS,LINE,E,50000,46
|
||||
139,SLCONS,LINE,C,200000,41
|
||||
139,SLCONS,LINE,B,1000000,15
|
||||
139,SLCONS,AREA,F,20000,94
|
||||
139,SLCONS,AREA,E,50000,25
|
||||
143,SLIPWY,AREA,F,20000,1
|
||||
143,SLIPWY,AREA,E,50000,2
|
||||
147,SOUNDG,SOUNDING,F,20000,1
|
||||
147,SOUNDG,SOUNDING,E,50000,1
|
||||
147,SOUNDG,SOUNDING,C,200000,1
|
||||
147,SOUNDG,SOUNDING,B,1000000,1
|
||||
154,TELPHC,LINE,F,20000,2
|
||||
154,TELPHC,LINE,E,50000,3
|
||||
155,TESARE,AREA,F,20000,1
|
||||
155,TESARE,AREA,C,200000,1
|
||||
155,TESARE,AREA,B,1000000,1
|
||||
153,TNKCON,POINT,F,20000,10
|
||||
153,TNKCON,POINT,E,50000,36
|
||||
153,TNKCON,AREA,E,50000,11
|
||||
158,TOWERS,POINT,F,20000,21
|
||||
158,TOWERS,POINT,E,50000,24
|
||||
158,TOWERS,POINT,C,200000,8
|
||||
158,TOWERS,POINT,B,1000000,1
|
||||
168,UWTROC,POINT,F,20000,96
|
||||
168,UWTROC,POINT,E,50000,27
|
||||
168,UWTROC,POINT,C,200000,50
|
||||
168,UWTROC,POINT,B,1000000,3
|
||||
176,WRECKS,POINT,F,20000,467
|
||||
176,WRECKS,POINT,E,50000,10
|
||||
176,WRECKS,POINT,C,200000,3
|
||||
176,WRECKS,AREA,F,20000,1
|
||||
177,ZEMCNT,LINE,F,20000,42
|
||||
177,ZEMCNT,LINE,E,50000,28
|
||||
177,ZEMCNT,LINE,C,200000,14
|
||||
201,_extgn,POINT,F,20000,22
|
||||
201,_extgn,POINT,E,50000,20
|
||||
217,_m_sor,META,F,20000,1
|
||||
217,_m_sor,META,E,50000,1
|
||||
217,_m_sor,META,C,200000,1
|
||||
217,_m_sor,META,B,1000000,1
|
||||
217,_m_sor,META,A,3000000,1
|
||||
217,_m_sor,META,Z,20000000,1
|
||||
198,_texto,POINT,F,20000,67
|
||||
198,_texto,POINT,E,50000,27
|
||||
198,_texto,POINT,C,200000,15
|
||||
198,_texto,POINT,B,1000000,3
|
||||
198,_texto,POINT,A,3000000,1
|
||||
|
@@ -0,0 +1,81 @@
|
||||
object_class_id,object_class,geometry_type,feature_count,cell_count,min_native_scale,max_native_scale,repaired_count,issue_count,dictionary_geometry_code,dictionary_display_code,description
|
||||
176,WRECKS,POINT,480,3,20000,200000,0,0,PA,8,Wreck
|
||||
45,DEPCNT,LINE,451,6,20000,20000000,0,0,L,7,Depth contour
|
||||
44,DEPARE,AREA,414,6,20000,20000000,1,0,A,1,Depth area
|
||||
138,SBDARE,POINT,287,3,20000,200000,0,0,PA,6,Seabed area
|
||||
139,SLCONS,LINE,209,4,20000,1000000,0,0,LA,7,Shoreline construction
|
||||
168,UWTROC,POINT,176,4,20000,1000000,0,0,P,8,Underwater rock
|
||||
35,COALNE,LINE,171,6,20000,20000000,0,0,L,7,Coastline
|
||||
81,LNDARE,AREA,159,6,20000,20000000,0,0,PA,1,Land area
|
||||
139,SLCONS,AREA,119,2,20000,50000,0,0,LA,7,Shoreline construction
|
||||
198,_texto,POINT,113,5,20000,3000000,0,0,P,8,Text
|
||||
86,LIGHTS,POINT,96,4,20000,1000000,0,0,P,8,Light
|
||||
10,BRTFAC,POINT,89,2,20000,50000,0,0,PLA,6,Berthing facility
|
||||
177,ZEMCNT,LINE,84,3,20000,200000,0,0,L,7,Zero meter contour
|
||||
99,OBSTRN,AREA,70,4,20000,1000000,0,0,PA,6,Obstruction
|
||||
78,ITDARE,AREA,69,3,20000,200000,0,0,PLA,1,Intertidal area
|
||||
158,TOWERS,POINT,54,4,20000,1000000,0,0,PA,6,Tower
|
||||
153,TNKCON,POINT,46,2,20000,50000,0,0,PA,6,Tank
|
||||
201,_extgn,POINT,42,2,20000,50000,0,0,P,8,"Extended navigational aid, generic"
|
||||
14,BUAARE,POINT,35,3,20000,1000000,0,0,PA,6,Built-up area
|
||||
33,CHIMNY,POINT,35,3,20000,200000,0,0,PA,6,Chimney
|
||||
13,BUISGL,AREA,20,1,20000,20000,0,0,PA,6,"Building, single"
|
||||
103,PILPNT,POINT,20,3,20000,200000,0,0,P,8,Pile
|
||||
60,FSHHAV,POINT,18,3,20000,200000,0,0,PA,6,Fish haven
|
||||
11,BRIDGE,AREA,17,3,20000,200000,0,0,PLA,6,Bridge
|
||||
29,CTNARE,AREA,16,4,20000,1000000,0,0,PA,6,Caution area
|
||||
193,$LINES,LINE,15,2,20000,50000,0,0,L,7,Cartographic line
|
||||
7,BCNLAT,POINT,15,3,20000,200000,0,0,P,8,"Beacon, lateral"
|
||||
39,CRANES,POINT,15,2,20000,50000,0,0,PA,6,Crane
|
||||
111,PRDINS,AREA,15,1,20000,20000,0,0,PA,6,Production installation
|
||||
50,DRGARE,AREA,14,1,50000,50000,0,0,A,5,Dredged area
|
||||
29,CTNARE,POINT,13,2,20000,50000,0,0,PA,6,Caution area
|
||||
9,BCNSPP,POINT,12,4,20000,1000000,0,0,P,8,"Beacon, special purpose"
|
||||
13,BUISGL,POINT,12,3,20000,200000,0,0,PA,6,"Building, single"
|
||||
22,CBLSUB,LINE,12,3,20000,200000,0,0,L,7,"Cable, submarine"
|
||||
111,PRDINS,POINT,12,1,20000,20000,0,0,PA,6,Production installation
|
||||
194,$AREAS,AREA,11,3,20000,200000,0,0,A,5,Cartographic area
|
||||
153,TNKCON,AREA,11,1,50000,50000,0,0,PA,6,Tank
|
||||
138,SBDARE,AREA,9,3,20000,200000,0,0,PA,6,Seabed area
|
||||
20,BOYSPP,POINT,8,2,20000,50000,0,0,P,8,"Buoy, special purpose"
|
||||
96,MORFAC,POINT,7,1,50000,50000,0,0,PA,6,Mooring/Warping facility
|
||||
210,M_PROD,AREA,7,7,20000,20000000,0,0,A,0,Production information
|
||||
130,RIVBNK,LINE,7,2,20000,200000,0,0,L,7,River bank
|
||||
38,CTRPNT,POINT,6,2,20000,50000,0,0,P,8,Control point
|
||||
99,OBSTRN,POINT,6,3,20000,200000,0,0,PA,6,Obstruction
|
||||
217,_m_sor,META,6,6,20000,20000000,0,0,A,0,Source of data
|
||||
191,$COMPS,POINT,5,2,20000,50000,0,0,P,8,Compass
|
||||
12,BUIREL,POINT,5,2,20000,50000,0,0,PA,6,"Building, religious"
|
||||
21,CBLOHD,LINE,5,2,20000,50000,0,0,L,7,"Cable, overhead"
|
||||
57,FAIRWY,AREA,5,2,20000,50000,0,0,A,5,Fairway
|
||||
129,RIVERS,AREA,5,2,20000,200000,0,0,LA,1,River
|
||||
142,SILBUI,POINT,5,2,20000,50000,0,0,PA,6,Silo
|
||||
154,TELPHC,LINE,5,2,20000,50000,0,0,L,7,Telepheric
|
||||
11,BRIDGE,LINE,4,2,20000,200000,0,0,PLA,6,Bridge
|
||||
72,HRBARE,AREA,4,2,20000,50000,0,0,A,5,Harbour area (administrative)
|
||||
95,MONUMT,POINT,4,2,20000,50000,0,0,P,8,Monument
|
||||
140,SISTAT,POINT,4,2,20000,50000,0,0,P,8,"Signal station, traffic"
|
||||
147,SOUNDG,SOUNDING,4,4,20000,1000000,0,0,S,7,Spot soundings
|
||||
1,AIRARE,POINT,3,2,20000,200000,0,0,PA,6,Airport area
|
||||
14,BUAARE,AREA,3,1,200000,200000,0,0,PA,6,Built-up area
|
||||
79,LAKARE,AREA,3,2,20000,200000,0,0,A,1,Lake
|
||||
80,LAKSHR,LINE,3,2,20000,200000,0,0,L,7,Lake shore
|
||||
97,NATARE,AREA,3,3,20000,1000000,0,0,A,5,National territorial area
|
||||
104,PILBOP,POINT,3,2,20000,50000,0,0,PA,8,Pilot boarding place
|
||||
143,SLIPWY,AREA,3,2,20000,50000,0,0,LA,6,Slipway
|
||||
155,TESARE,AREA,3,3,20000,1000000,0,0,A,5,Territorial sea area
|
||||
4,ACHARE,AREA,2,2,20000,50000,0,0,PA,6,Anchorage area
|
||||
36,CONZNE,AREA,2,2,200000,1000000,0,0,A,5,Contiguous zone
|
||||
56,EXEZNE,AREA,2,2,200000,1000000,0,0,A,5,Exclusive economic zone
|
||||
96,MORFAC,AREA,2,1,20000,20000,0,0,PA,6,Mooring/Warping facility
|
||||
106,PIPOHD,LINE,2,1,20000,20000,0,0,L,7,"Pipeline, overhead"
|
||||
107,PIPSOL,LINE,2,2,20000,50000,0,0,L,7,"Pipeline, submarine/on land"
|
||||
112,PYLONS,POINT,2,1,50000,50000,0,0,PA,6,Pylon
|
||||
136,SEAARE,AREA,2,1,200000,200000,0,0,A,5,Sea area
|
||||
73,HRBFAC,POINT,1,1,20000,20000,0,0,PA,6,Harbour facility
|
||||
73,HRBFAC,AREA,1,1,20000,20000,0,0,PA,6,Harbour facility
|
||||
127,RSCSTA,POINT,1,1,20000,20000,0,0,P,8,Rescue station
|
||||
118,RTPBCN,POINT,1,1,50000,50000,0,0,P,8,Radar transponder beacon
|
||||
142,SILBUI,AREA,1,1,20000,20000,0,0,PA,6,Silo
|
||||
141,SISTAW,POINT,1,1,20000,20000,0,0,P,8,"Signal station, warning"
|
||||
176,WRECKS,AREA,1,1,20000,20000,0,0,PA,8,Wreck
|
||||
|
@@ -0,0 +1,681 @@
|
||||
object_class_id,object_class,geometry_type,attribute_id,attribute_name,value_type,rank,value,count,total_distinct_values
|
||||
194,$AREAS,AREA,129,$SCODE,STRING,1,II25,11,1
|
||||
191,$COMPS,POINT,128,$ANNCH,STRING,1,00.00 E,4,2
|
||||
191,$COMPS,POINT,128,$ANNCH,STRING,2,01.00 W,1,2
|
||||
191,$COMPS,POINT,127,$CYEAR,REAL,1,2012,4,2
|
||||
191,$COMPS,POINT,127,$CYEAR,REAL,2,2002,1,2
|
||||
191,$COMPS,POINT,126,$VARIA,STRING,1,08.25 W,5,1
|
||||
193,$LINES,LINE,129,$SCODE,STRING,1,IH40,6,3
|
||||
193,$LINES,LINE,129,$SCODE,STRING,2,IH41,6,3
|
||||
193,$LINES,LINE,129,$SCODE,STRING,3,IK1,3,3
|
||||
4,ACHARE,AREA,3,CATACH,LIST,1,[5],2,1
|
||||
1,AIRARE,POINT,80,OBJNAM,STRING,1,Hachinohe Airfield,1,1
|
||||
7,BCNLAT,POINT,103,BCNSHP,BYTE,1,3,4,1
|
||||
7,BCNLAT,POINT,24,CATLAM,BYTE,1,2,15,1
|
||||
7,BCNLAT,POINT,60,COLMAR,BYTE,1,3,15,1
|
||||
7,BCNLAT,POINT,78,INFORM,STRING,1,Concrete,3,3
|
||||
7,BCNLAT,POINT,78,INFORM,STRING,2,Metal,2,3
|
||||
7,BCNLAT,POINT,78,INFORM,STRING,3,Metal|Framework tower,1,3
|
||||
7,BCNLAT,POINT,108,SORIND,STRING,1,"GB,UKHO,graph,LL M-6623",2,11
|
||||
7,BCNLAT,POINT,108,SORIND,STRING,2,"GB,UKHO,graph,LL M-6624.8",2,11
|
||||
7,BCNLAT,POINT,108,SORIND,STRING,3,"GB,UKHO,graph,LL M-6624.7",2,11
|
||||
7,BCNLAT,POINT,108,SORIND,STRING,4,"GB,UKHO,graph,LL M-6624",2,11
|
||||
7,BCNLAT,POINT,108,SORIND,STRING,5,"GB,UKHO,graph,LL M-6619",1,11
|
||||
7,BCNLAT,POINT,108,SORIND,STRING,6,"GB,MDHS,graph,LL F-6623",1,11
|
||||
7,BCNLAT,POINT,108,SORIND,STRING,7,"GB,MDHS,graph,LL F-6623.6",1,11
|
||||
7,BCNLAT,POINT,108,SORIND,STRING,8,"GB,MDHS,graph,LL F-6624.8",1,11
|
||||
7,BCNLAT,POINT,108,SORIND,STRING,9,"GB,MDHS,graph,LL F-6624.7",1,11
|
||||
7,BCNLAT,POINT,108,SORIND,STRING,10,"GB,MDHS,graph,LL F-6624",1,11
|
||||
7,BCNLAT,POINT,108,SORIND,STRING,11,"GB,UKHO,graph,LL M-6623.6",1,11
|
||||
7,BCNLAT,POINT,122,VERLEN,REAL,1,10,6,4
|
||||
7,BCNLAT,POINT,122,VERLEN,REAL,2,9,5,4
|
||||
7,BCNLAT,POINT,122,VERLEN,REAL,3,16,3,4
|
||||
7,BCNLAT,POINT,122,VERLEN,REAL,4,6,1,4
|
||||
9,BCNSPP,POINT,51,CATSPM,BYTE,1,6,4,2
|
||||
9,BCNSPP,POINT,51,CATSPM,BYTE,2,27,1,2
|
||||
9,BCNSPP,POINT,60,COLMAR,BYTE,1,5,2,1
|
||||
9,BCNSPP,POINT,78,INFORM,STRING,1,Metal,4,1
|
||||
9,BCNSPP,POINT,108,SORIND,STRING,1,"GB,UKHO,graph,LL M-6625",2,3
|
||||
9,BCNSPP,POINT,108,SORIND,STRING,2,"GB,UKHO,graph,LL M-6626",2,3
|
||||
9,BCNSPP,POINT,108,SORIND,STRING,3,"GB,UKHO,graph,LL M-6623.2",2,3
|
||||
9,BCNSPP,POINT,122,VERLEN,REAL,1,43,2,2
|
||||
9,BCNSPP,POINT,122,VERLEN,REAL,2,9,2,2
|
||||
20,BOYSPP,POINT,105,BOYSHP,BYTE,1,1,5,2
|
||||
20,BOYSPP,POINT,105,BOYSHP,BYTE,2,4,3,2
|
||||
20,BOYSPP,POINT,51,CATSPM,BYTE,1,27,3,3
|
||||
20,BOYSPP,POINT,51,CATSPM,BYTE,2,10,1,3
|
||||
20,BOYSPP,POINT,51,CATSPM,BYTE,3,13,1,3
|
||||
20,BOYSPP,POINT,60,COLMAR,BYTE,1,4,8,1
|
||||
20,BOYSPP,POINT,78,INFORM,STRING,1,Private mark|Wave recorder,1,1
|
||||
20,BOYSPP,POINT,109,STATUS,LIST,1,[8],6,1
|
||||
11,BRIDGE,AREA,4,CATBRG,LIST,1,[1],2,1
|
||||
11,BRIDGE,AREA,78,INFORM,STRING,1,Vertical Datum: Nearly highest high water|Vertical clearance 4.5m - 5.5m,2,2
|
||||
11,BRIDGE,AREA,78,INFORM,STRING,2,Vertical Datum: Nearly highest high water,1,2
|
||||
11,BRIDGE,AREA,80,OBJNAM,STRING,1,Hachinohe Bridge,1,7
|
||||
11,BRIDGE,AREA,80,OBJNAM,STRING,2,Hattaro Bridge,1,7
|
||||
11,BRIDGE,AREA,80,OBJNAM,STRING,3,The Numadate Bridge,1,7
|
||||
11,BRIDGE,AREA,80,OBJNAM,STRING,4,The Shin-O-Hashi Bridge,1,7
|
||||
11,BRIDGE,AREA,80,OBJNAM,STRING,5,Seagull Bridge,1,7
|
||||
11,BRIDGE,AREA,80,OBJNAM,STRING,6,Minato Bridge,1,7
|
||||
11,BRIDGE,AREA,80,OBJNAM,STRING,7,Ichikawa Bridge,1,7
|
||||
11,BRIDGE,AREA,117,VERCLR,REAL,1,4.5,2,3
|
||||
11,BRIDGE,AREA,117,VERCLR,REAL,2,31,2,3
|
||||
11,BRIDGE,AREA,117,VERCLR,REAL,3,5.30000019073486,1,3
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,1,2,8,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,2,1,6,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,3,3,6,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,4,4,6,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,5,A,6,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,6,B,6,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,7,C,6,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,8,5,4,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,9,6,4,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,10,D,4,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,11,F,4,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,12,G,4,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,13,7,2,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,14,8,2,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,15,9,2,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,16,E,2,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,17,H,2,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,18,I,2,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,19,J,2,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,20,L,2,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,21,M,2,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,22,N,2,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,23,O,2,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,24,10,2,25
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,25,P,1,25
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,1,Hachinohe,2,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,2,Hashimukai,2,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,3,Misawa,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,4,Same,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,5,Okuki,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,6,Minato,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,7,Mikawame,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,8,Shirahama,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,9,Hitokawame,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,10,Oirase Town,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,11,Tate,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,12,Osawa,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,13,Hinode,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,14,Toyosu,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,15,Hattaro,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,16,Hasunuma,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,17,Kawaragi,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,18,Kitanuma,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,19,Numadate,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,20,Sunamori,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,21,Tatehana,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,22,Uenoyama,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,23,Kami-Same,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,24,Hikagezawa,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,25,Shinminato,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,26,Uheikawara,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,27,Senzogakubo,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,28,Hamana-Yachi,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,29,Shimo-Oyachi,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,30,Minami-Oyachi,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,31,Toyama-Shinden,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,32,Shimo-Matsunaeba,1,33
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,33,Shimo-Mekurakubo,1,33
|
||||
14,BUAARE,AREA,80,OBJNAM,STRING,1,Hachinohe,1,2
|
||||
14,BUAARE,AREA,80,OBJNAM,STRING,2,Misawa,1,2
|
||||
12,BUIREL,POINT,41,CATREB,BYTE,1,6,2,3
|
||||
12,BUIREL,POINT,41,CATREB,BYTE,2,7,2,3
|
||||
12,BUIREL,POINT,41,CATREB,BYTE,3,4,1,3
|
||||
13,BUISGL,POINT,104,BUISHP,BYTE,1,4,1,1
|
||||
13,BUISGL,POINT,49,CATBUI,LIST,1,[6],5,5
|
||||
13,BUISGL,POINT,49,CATBUI,LIST,2,[2],1,5
|
||||
13,BUISGL,POINT,49,CATBUI,LIST,3,[3],1,5
|
||||
13,BUISGL,POINT,49,CATBUI,LIST,4,[17],1,5
|
||||
13,BUISGL,POINT,49,CATBUI,LIST,5,[5],1,5
|
||||
13,BUISGL,POINT,65,CONVIS,BYTE,1,2,2,1
|
||||
13,BUISGL,POINT,78,INFORM,STRING,1,Light support|Not in use,1,1
|
||||
13,BUISGL,POINT,80,OBJNAM,STRING,1,Tohoku Electric Power Thermal Power Plants,1,2
|
||||
13,BUISGL,POINT,80,OBJNAM,STRING,2,Japan Maritime Self Defense Force Air Base,1,2
|
||||
13,BUISGL,POINT,91,QUAPOS,BYTE,1,4,2,1
|
||||
13,BUISGL,AREA,49,CATBUI,LIST,1,[19],7,4
|
||||
13,BUISGL,AREA,49,CATBUI,LIST,2,[13],1,4
|
||||
13,BUISGL,AREA,49,CATBUI,LIST,3,"[3,2]",1,4
|
||||
13,BUISGL,AREA,49,CATBUI,LIST,4,[10],1,4
|
||||
13,BUISGL,AREA,78,INFORM,STRING,1,Port Management Office,1,7
|
||||
13,BUISGL,AREA,78,INFORM,STRING,2,Fisheries High School,1,7
|
||||
13,BUISGL,AREA,78,INFORM,STRING,3,Fishery Hall,1,7
|
||||
13,BUISGL,AREA,78,INFORM,STRING,4,Fisheries Laboratory,1,7
|
||||
13,BUISGL,AREA,78,INFORM,STRING,5,Coast Guard Office|Marine Procedure Commission Agent Office,1,7
|
||||
13,BUISGL,AREA,78,INFORM,STRING,6,Fishing Harbor Development Office,1,7
|
||||
13,BUISGL,AREA,78,INFORM,STRING,7,"Regional Development Bureau,Port And Airport Office",1,7
|
||||
13,BUISGL,AREA,80,OBJNAM,STRING,1,Tohoku Electric Power Electric Substation,1,7
|
||||
13,BUISGL,AREA,80,OBJNAM,STRING,2,No.1 Fish Market,1,7
|
||||
13,BUISGL,AREA,80,OBJNAM,STRING,3,No.2 Fish Market,1,7
|
||||
13,BUISGL,AREA,80,OBJNAM,STRING,4,No.3 Fish Market,1,7
|
||||
13,BUISGL,AREA,80,OBJNAM,STRING,5,Maritime Office,1,7
|
||||
13,BUISGL,AREA,80,OBJNAM,STRING,6,Construction Office,1,7
|
||||
13,BUISGL,AREA,80,OBJNAM,STRING,7,Fisherman's Union,1,7
|
||||
21,CBLOHD,LINE,6,CATCBL,BYTE,1,1,5,1
|
||||
21,CBLOHD,LINE,93,QUAVEM,BYTE,1,1,1,1
|
||||
21,CBLOHD,LINE,117,VERCLR,REAL,1,12,1,1
|
||||
22,CBLSUB,LINE,6,CATCBL,BYTE,1,1,2,1
|
||||
22,CBLSUB,LINE,109,STATUS,LIST,1,[4],3,1
|
||||
33,CHIMNY,POINT,59,COLOUR,LIST,1,"[3,1]",2,1
|
||||
33,CHIMNY,POINT,65,CONVIS,BYTE,1,2,8,2
|
||||
33,CHIMNY,POINT,65,CONVIS,BYTE,2,1,1,2
|
||||
33,CHIMNY,POINT,73,HEIGHT,REAL,1,123,2,7
|
||||
33,CHIMNY,POINT,73,HEIGHT,REAL,2,30,2,7
|
||||
33,CHIMNY,POINT,73,HEIGHT,REAL,3,27,1,7
|
||||
33,CHIMNY,POINT,73,HEIGHT,REAL,4,81,1,7
|
||||
33,CHIMNY,POINT,73,HEIGHT,REAL,5,40,1,7
|
||||
33,CHIMNY,POINT,73,HEIGHT,REAL,6,71,1,7
|
||||
33,CHIMNY,POINT,73,HEIGHT,REAL,7,82,1,7
|
||||
33,CHIMNY,POINT,78,INFORM,STRING,1,3 CHYS,1,1
|
||||
35,COALNE,LINE,147,CATCOA,BYTE,1,1,8,1
|
||||
36,CONZNE,AREA,78,INFORM,STRING,1,"Jeppesen adopts ""International Boundaries and National Limits"" as defined by international standards from sources, such as government provided official charts and other official documents. Due to the resolution of information provided, as well as the age of underlying surveys or publication dates, the reference datum used or its conversion, inaccuracies in the position or the form of these boundaries and limits may exist and as such may not be relied on as a primary source of information. Therefore Jeppesen cannot accept any liability regarding the use of this data for navigation.",2,1
|
||||
36,CONZNE,AREA,81,NATION,STRING,1,JP,2,1
|
||||
36,CONZNE,AREA,108,SORIND,STRING,1,"CM,PAD,graph,B3900420",1,1
|
||||
39,CRANES,POINT,10,CATCRN,BYTE,1,4,9,2
|
||||
39,CRANES,POINT,10,CATCRN,BYTE,2,2,2,2
|
||||
29,CTNARE,POINT,78,INFORM,STRING,1,Works in progress|Source date: 2005,2,12
|
||||
29,CTNARE,POINT,78,INFORM,STRING,2,FOUL,1,12
|
||||
29,CTNARE,POINT,78,INFORM,STRING,3,Marked by buoys,1,12
|
||||
29,CTNARE,POINT,78,INFORM,STRING,4,(liable to shoal),1,12
|
||||
29,CTNARE,POINT,78,INFORM,STRING,5,WORKS IN PROGRESS (1998),1,12
|
||||
29,CTNARE,POINT,78,INFORM,STRING,6,Works in progress|Source date: 2000,1,12
|
||||
29,CTNARE,POINT,78,INFORM,STRING,7,Works in progress|Source date: 2002,1,12
|
||||
29,CTNARE,POINT,78,INFORM,STRING,8,Ebb stream|Orientation: 130 Deg|Current velocity: 0.2kn,1,12
|
||||
29,CTNARE,POINT,78,INFORM,STRING,9,Flood stream|Orientation: 290 Deg|Current velocity: 0.3kn,1,12
|
||||
29,CTNARE,POINT,78,INFORM,STRING,10,Slipway,1,12
|
||||
29,CTNARE,POINT,78,INFORM,STRING,11,Ebb stream|Orientation: 133 Deg|Current velocity: 0.3kn,1,12
|
||||
29,CTNARE,POINT,78,INFORM,STRING,12,Flood stream|Orientation: 299 Deg|Current velocity: 0.3kn,1,12
|
||||
29,CTNARE,AREA,78,INFORM,STRING,1,Caisson Temporary Storage Area,3,12
|
||||
29,CTNARE,AREA,78,INFORM,STRING,2,"The contents of the charts affected by earthquakes etc. occured offshore Pacific Ocean in Tohoku region in Japan.|By earthquakes and tsunami occured offshore Pacific Ocean in Tohoku region in Japan on 11th March 2011, damages of breakwaters, quays, etc. and existance of foul bottoms (i.e. houses and vehicles) on the seafloor which were pushed and flowed from land area in the east coast of Honshu and each ports and harbours. Users are aware that contents of the charts may be different from existing situations. Notices to Mariners about these matters will be issued as soon as survey results are received.Notices to Mariners address http://www1.kaiho.mlit.go.jp/TUHO/tuho_db/tuhoserch.html",2,12
|
||||
29,CTNARE,AREA,78,INFORM,STRING,3,Unassessed. Surveys before the earthquake (11th Mar. 2011),2,12
|
||||
29,CTNARE,AREA,78,INFORM,STRING,4,"Caution|Undiscovered shoals may exist around charted shoals. Mariners are advised to exercise caution.|Caution|Only the principal lights are shown on this chart. For the details of these and other lights, the larger scale charts and the List of Lights should be consulted.|Note|The straight baselines and the limits of the territorial sea shown on this chart are based on the provisions of Japanese Law No.30 of 1977 on the Territorial Sea and the Contiguous Zone and the Enforcement Order No.210 of 1977 of Japanese Law No.30 of 1977 on the Territorial Sea and the Contiguous Zone.|Note|Owing to scale, only major points of the straight baselines given in the Enforcement Order are shown.|Caution|As submarine cables are not shown on this chart, take care with regard to the fishing industry, submarine exploration etc. For submarine cable information, refer to JP charts with scales of larger than 1:750,000 or the JP chart with scale 1:3,500,000.",1,12
|
||||
29,CTNARE,AREA,78,INFORM,STRING,5,Jeppesen digital nautical charts do not reflect all soundings present on the official paper charts published by Japan Hydrographic and Oceanographic Department. This product is not an Electronic Navigational Chart. Mariners are required to use official paper charts for navigational judgements.,1,12
|
||||
29,CTNARE,AREA,78,INFORM,STRING,6,"CAUTION|As undiscovered shoals may exist around charted shoals, mariners are warned to excercise cautions.|NOTE|The straight baselines and the limits of the territorial sea shown on this chart are based on the provisions of the Law No.30 of 1977 on the Territorial Sea and the Contiguous Zone and the Enforcement Order No.210 of 1977 of the Law No.30 of 1977 on the Territorial Sea and the Contiguous Zone.|NOTE|Of all the base points of the straight baselines given in the Enforcement Order, only major points are shown on this chart due to its small scale.",1,12
|
||||
29,CTNARE,AREA,78,INFORM,STRING,7,"CABLES|1. Submarine and overhead cables may conduct high voltages; contact with or proximity to these poses an extreme danger and mariners may risk prosecution if damage is caused.|2. Anchoring or trawling in the vicinity of submarine cables should be avoided. Seabed mobility may leave a cable spanning undulations and cause fishing gear to become irrecoverably snagged, putting a vessel in severe danger. If a cable is snagged, care must be taken not to sever it.|3. Sufficient clearance must be allowed under overhead cables.|4. Some cables, particularly those installed since this edition was published, may not be charted.|5. For further information, see The Mariner's Handbook.",1,12
|
||||
29,CTNARE,AREA,78,INFORM,STRING,8,Dredged to 7.5m|Source date: 1994,1,12
|
||||
29,CTNARE,AREA,78,INFORM,STRING,9,Caution|Undiscovered shoals may exist around charted shoals. Mariners are advised to exercise caution. |Caution|Depths are very changeable at the entrance to river mouths. Mariners are advised to exercise caution.,1,12
|
||||
29,CTNARE,AREA,78,INFORM,STRING,10,Section 3,1,12
|
||||
29,CTNARE,AREA,78,INFORM,STRING,11,Section 2,1,12
|
||||
29,CTNARE,AREA,78,INFORM,STRING,12,Section 1,1,12
|
||||
38,CTRPNT,POINT,9,CATCTR,BYTE,1,1,4,2
|
||||
38,CTRPNT,POINT,9,CATCTR,BYTE,2,4,2,2
|
||||
38,CTRPNT,POINT,80,OBJNAM,STRING,1,Monomiiwa,1,1
|
||||
44,DEPARE,AREA,66,DRVAL1,REAL,1,2,188,7
|
||||
44,DEPARE,AREA,66,DRVAL1,REAL,2,0,117,7
|
||||
44,DEPARE,AREA,66,DRVAL1,REAL,3,5,81,7
|
||||
44,DEPARE,AREA,66,DRVAL1,REAL,4,10,18,7
|
||||
44,DEPARE,AREA,66,DRVAL1,REAL,5,20,5,7
|
||||
44,DEPARE,AREA,66,DRVAL1,REAL,6,200,4,7
|
||||
44,DEPARE,AREA,66,DRVAL1,REAL,7,30,1,7
|
||||
44,DEPARE,AREA,67,DRVAL2,REAL,1,5,203,8
|
||||
44,DEPARE,AREA,67,DRVAL2,REAL,2,2,96,8
|
||||
44,DEPARE,AREA,67,DRVAL2,REAL,3,10,84,8
|
||||
44,DEPARE,AREA,67,DRVAL2,REAL,4,20,18,8
|
||||
44,DEPARE,AREA,67,DRVAL2,REAL,5,200,4,8
|
||||
44,DEPARE,AREA,67,DRVAL2,REAL,6,50,4,8
|
||||
44,DEPARE,AREA,67,DRVAL2,REAL,7,30,1,8
|
||||
44,DEPARE,AREA,67,DRVAL2,REAL,8,2000,1,8
|
||||
45,DEPCNT,LINE,91,QUAPOS,BYTE,1,4,1,1
|
||||
45,DEPCNT,LINE,113,VALDCO,REAL,1,5,230,6
|
||||
45,DEPCNT,LINE,113,VALDCO,REAL,2,2,102,6
|
||||
45,DEPCNT,LINE,113,VALDCO,REAL,3,10,100,6
|
||||
45,DEPCNT,LINE,113,VALDCO,REAL,4,20,14,6
|
||||
45,DEPCNT,LINE,113,VALDCO,REAL,5,200,4,6
|
||||
45,DEPCNT,LINE,113,VALDCO,REAL,6,30,1,6
|
||||
50,DRGARE,AREA,66,DRVAL1,REAL,1,7.5,5,6
|
||||
50,DRGARE,AREA,66,DRVAL1,REAL,2,13,4,6
|
||||
50,DRGARE,AREA,66,DRVAL1,REAL,3,14,1,6
|
||||
50,DRGARE,AREA,66,DRVAL1,REAL,4,12,1,6
|
||||
50,DRGARE,AREA,66,DRVAL1,REAL,5,9.59999942779541,1,6
|
||||
50,DRGARE,AREA,66,DRVAL1,REAL,6,10,1,6
|
||||
50,DRGARE,AREA,78,INFORM,STRING,1,(1981-2000),4,7
|
||||
50,DRGARE,AREA,78,INFORM,STRING,2,Source date: 1990,2,7
|
||||
50,DRGARE,AREA,78,INFORM,STRING,3,(1995-2000),1,7
|
||||
50,DRGARE,AREA,78,INFORM,STRING,4,Source date: 1991,1,7
|
||||
50,DRGARE,AREA,78,INFORM,STRING,5,1980,1,7
|
||||
50,DRGARE,AREA,78,INFORM,STRING,6,1994,1,7
|
||||
50,DRGARE,AREA,78,INFORM,STRING,7,Source date: 1977,1,7
|
||||
56,EXEZNE,AREA,78,INFORM,STRING,1,"Jeppesen adopts ""International Boundaries and National Limits"" as defined by international standards from sources, such as government provided official charts and other official documents. Due to the resolution of information provided, as well as the age of underlying surveys or publication dates, the reference datum used or its conversion, inaccuracies in the position or the form of these boundaries and limits may exist and as such may not be relied on as a primary source of information. Therefore Jeppesen cannot accept any liability regarding the use of this data for navigation.",2,1
|
||||
56,EXEZNE,AREA,81,NATION,STRING,1,JP,2,1
|
||||
56,EXEZNE,AREA,108,SORIND,STRING,1,"CM,PAD,graph,B3900420",1,1
|
||||
57,FAIRWY,AREA,80,OBJNAM,STRING,1,East Fairway,1,4
|
||||
57,FAIRWY,AREA,80,OBJNAM,STRING,2,West Fairway,1,4
|
||||
57,FAIRWY,AREA,80,OBJNAM,STRING,3,East Passage,1,4
|
||||
57,FAIRWY,AREA,80,OBJNAM,STRING,4,West Passage,1,4
|
||||
60,FSHHAV,POINT,78,INFORM,STRING,1,Always under water/submerged,18,1
|
||||
72,HRBARE,AREA,80,OBJNAM,STRING,1,No 3 Area,1,3
|
||||
72,HRBARE,AREA,80,OBJNAM,STRING,2,No 2 Area,1,3
|
||||
72,HRBARE,AREA,80,OBJNAM,STRING,3,No1 Area,1,3
|
||||
73,HRBFAC,POINT,80,OBJNAM,STRING,1,Tohoku Grain Terminal,1,1
|
||||
73,HRBFAC,AREA,20,CATHAF,LIST,1,[9],1,1
|
||||
78,ITDARE,AREA,82,NATSUR,LIST,1,[9],25,4
|
||||
78,ITDARE,AREA,82,NATSUR,LIST,2,[56],5,4
|
||||
78,ITDARE,AREA,82,NATSUR,LIST,3,[1],4,4
|
||||
78,ITDARE,AREA,82,NATSUR,LIST,4,[4],4,4
|
||||
79,LAKARE,AREA,80,OBJNAM,STRING,1,Ane Lake,1,1
|
||||
86,LIGHTS,POINT,25,CATLIT,BYTE,1,5,5,4
|
||||
86,LIGHTS,POINT,25,CATLIT,BYTE,2,8,2,4
|
||||
86,LIGHTS,POINT,25,CATLIT,BYTE,3,6,1,4
|
||||
86,LIGHTS,POINT,25,CATLIT,BYTE,4,11,1,4
|
||||
86,LIGHTS,POINT,59,COLOUR,LIST,1,[6],28,6
|
||||
86,LIGHTS,POINT,59,COLOUR,LIST,2,[4],23,6
|
||||
86,LIGHTS,POINT,59,COLOUR,LIST,3,[3],23,6
|
||||
86,LIGHTS,POINT,59,COLOUR,LIST,4,[1],15,6
|
||||
86,LIGHTS,POINT,59,COLOUR,LIST,5,"[1,1,4]",2,6
|
||||
86,LIGHTS,POINT,59,COLOUR,LIST,6,"[1,4]",2,6
|
||||
86,LIGHTS,POINT,73,HEIGHT,REAL,1,12,10,16
|
||||
86,LIGHTS,POINT,73,HEIGHT,REAL,2,14,6,16
|
||||
86,LIGHTS,POINT,73,HEIGHT,REAL,3,57,4,16
|
||||
86,LIGHTS,POINT,73,HEIGHT,REAL,4,11,4,16
|
||||
86,LIGHTS,POINT,73,HEIGHT,REAL,5,5,4,16
|
||||
86,LIGHTS,POINT,73,HEIGHT,REAL,6,9,3,16
|
||||
86,LIGHTS,POINT,73,HEIGHT,REAL,7,17,3,16
|
||||
86,LIGHTS,POINT,73,HEIGHT,REAL,8,22,3,16
|
||||
86,LIGHTS,POINT,73,HEIGHT,REAL,9,69,2,16
|
||||
86,LIGHTS,POINT,73,HEIGHT,REAL,10,79,2,16
|
||||
86,LIGHTS,POINT,73,HEIGHT,REAL,11,7,2,16
|
||||
86,LIGHTS,POINT,73,HEIGHT,REAL,12,16,2,16
|
||||
86,LIGHTS,POINT,73,HEIGHT,REAL,13,4,2,16
|
||||
86,LIGHTS,POINT,73,HEIGHT,REAL,14,8,1,16
|
||||
86,LIGHTS,POINT,73,HEIGHT,REAL,15,31,1,16
|
||||
86,LIGHTS,POINT,73,HEIGHT,REAL,16,10,1,16
|
||||
86,LIGHTS,POINT,78,INFORM,STRING,1,2 fl in 3s,4,5
|
||||
86,LIGHTS,POINT,78,INFORM,STRING,2,The white light can be apparent on 8M,2,5
|
||||
86,LIGHTS,POINT,78,INFORM,STRING,3,Illuminates Hinode Iwa 430m NNW,2,5
|
||||
86,LIGHTS,POINT,78,INFORM,STRING,4,FW spotlight illuminates Hinode Iwa.,1,5
|
||||
86,LIGHTS,POINT,78,INFORM,STRING,5,More than one,1,5
|
||||
86,LIGHTS,POINT,58,LITCHR,BYTE,1,2,35,4
|
||||
86,LIGHTS,POINT,58,LITCHR,BYTE,2,7,13,4
|
||||
86,LIGHTS,POINT,58,LITCHR,BYTE,3,1,6,4
|
||||
86,LIGHTS,POINT,58,LITCHR,BYTE,4,19,4,4
|
||||
86,LIGHTS,POINT,80,OBJNAM,STRING,1,C1,2,6
|
||||
86,LIGHTS,POINT,80,OBJNAM,STRING,2,C2,1,6
|
||||
86,LIGHTS,POINT,80,OBJNAM,STRING,3,R1,1,6
|
||||
86,LIGHTS,POINT,80,OBJNAM,STRING,4,R2,1,6
|
||||
86,LIGHTS,POINT,80,OBJNAM,STRING,5,L1,1,6
|
||||
86,LIGHTS,POINT,80,OBJNAM,STRING,6,L2,1,6
|
||||
86,LIGHTS,POINT,93,QUAVEM,BYTE,1,1,12,1
|
||||
86,LIGHTS,POINT,100,SECTR1,WORD10,1,228,3,2
|
||||
86,LIGHTS,POINT,100,SECTR1,WORD10,2,48,3,2
|
||||
86,LIGHTS,POINT,101,SECTR2,WORD10,1,48,3,2
|
||||
86,LIGHTS,POINT,101,SECTR2,WORD10,2,228,3,2
|
||||
86,LIGHTS,POINT,72,SIGGRP,STRING,1,(1),38,2
|
||||
86,LIGHTS,POINT,72,SIGGRP,STRING,2,(2),14,2
|
||||
86,LIGHTS,POINT,86,SIGPER,WORD10,1,3,10,7
|
||||
86,LIGHTS,POINT,86,SIGPER,WORD10,2,6,10,7
|
||||
86,LIGHTS,POINT,86,SIGPER,WORD10,3,4,7,7
|
||||
86,LIGHTS,POINT,86,SIGPER,WORD10,4,9,6,7
|
||||
86,LIGHTS,POINT,86,SIGPER,WORD10,5,5,5,7
|
||||
86,LIGHTS,POINT,86,SIGPER,WORD10,6,10,4,7
|
||||
86,LIGHTS,POINT,86,SIGPER,WORD10,7,8,4,7
|
||||
86,LIGHTS,POINT,108,SORIND,STRING,1,"GB,MDHS,graph,LL F-6624.7.C",1,14
|
||||
86,LIGHTS,POINT,108,SORIND,STRING,2,"GB,MDHS,graph,LL F-6624.7.D",1,14
|
||||
86,LIGHTS,POINT,108,SORIND,STRING,3,"GB,MDHS,graph,LL F-6624.7.E",1,14
|
||||
86,LIGHTS,POINT,108,SORIND,STRING,4,"GB,MDHS,graph,LL F-6624.7.F",1,14
|
||||
86,LIGHTS,POINT,108,SORIND,STRING,5,"GB,MDHS,graph,LL F-6624.7.A",1,14
|
||||
86,LIGHTS,POINT,108,SORIND,STRING,6,"GB,MDHS,graph,LL F-6624.7.B",1,14
|
||||
86,LIGHTS,POINT,108,SORIND,STRING,7,"GB,MDHS,graph,LL F-6623.2.A",1,14
|
||||
86,LIGHTS,POINT,108,SORIND,STRING,8,"GB,UKHO,graph,LL M-6624.62",1,14
|
||||
86,LIGHTS,POINT,108,SORIND,STRING,9,"GB,UKHO,graph,LL M-6624.621",1,14
|
||||
86,LIGHTS,POINT,108,SORIND,STRING,10,"GB,UKHO,graph,LL M-6624.64",1,14
|
||||
86,LIGHTS,POINT,108,SORIND,STRING,11,"GB,UKHO,graph,LL M-6624.641",1,14
|
||||
86,LIGHTS,POINT,108,SORIND,STRING,12,"GB,UKHO,graph,LL M-6624.63",1,14
|
||||
86,LIGHTS,POINT,108,SORIND,STRING,13,"GB,UKHO,graph,LL M-6624.631",1,14
|
||||
86,LIGHTS,POINT,108,SORIND,STRING,14,"GB,UKHO,graph,LL M-6624.5",1,14
|
||||
86,LIGHTS,POINT,109,STATUS,LIST,1,[8],26,1
|
||||
86,LIGHTS,POINT,115,VALNMR,WORD10,1,4,16,7
|
||||
86,LIGHTS,POINT,115,VALNMR,WORD10,2,6,7,7
|
||||
86,LIGHTS,POINT,115,VALNMR,WORD10,3,3,7,7
|
||||
86,LIGHTS,POINT,115,VALNMR,WORD10,4,5,7,7
|
||||
86,LIGHTS,POINT,115,VALNMR,WORD10,5,19,4,7
|
||||
86,LIGHTS,POINT,115,VALNMR,WORD10,6,7,3,7
|
||||
86,LIGHTS,POINT,115,VALNMR,WORD10,7,2,1,7
|
||||
81,LNDARE,AREA,80,OBJNAM,STRING,1,Honshu,1,3
|
||||
81,LNDARE,AREA,80,OBJNAM,STRING,2,Todo Shima,1,3
|
||||
81,LNDARE,AREA,80,OBJNAM,STRING,3,Hinode Iwa,1,3
|
||||
95,MONUMT,POINT,65,CONVIS,BYTE,1,2,2,1
|
||||
96,MORFAC,POINT,29,CATMOR,BYTE,1,1,7,1
|
||||
96,MORFAC,POINT,78,INFORM,STRING,1,Always dry,1,1
|
||||
96,MORFAC,AREA,29,CATMOR,BYTE,1,1,2,1
|
||||
96,MORFAC,AREA,78,INFORM,STRING,1,Always dry,2,1
|
||||
210,M_PROD,AREA,150,CPDATE,STRING,1,20080102,2,5
|
||||
210,M_PROD,AREA,150,CPDATE,STRING,2,20060322,2,5
|
||||
210,M_PROD,AREA,150,CPDATE,STRING,3,20141006,1,5
|
||||
210,M_PROD,AREA,150,CPDATE,STRING,4,20140602,1,5
|
||||
210,M_PROD,AREA,150,CPDATE,STRING,5,20140505,1,5
|
||||
97,NATARE,AREA,78,INFORM,STRING,1,"Jeppesen adopts ""International Boundaries and National Limits"" as defined by international standards from sources, such as government provided official charts and other official documents. Due to the resolution of information provided, as well as the age of underlying surveys or publication dates, the reference datum used or its conversion, inaccuracies in the position or the form of these boundaries and limits may exist and as such may not be relied on as a primary source of information. Therefore Jeppesen cannot accept any liability regarding the use of this data for navigation.",3,1
|
||||
97,NATARE,AREA,81,NATION,STRING,1,JP,3,1
|
||||
99,OBSTRN,POINT,69,EXPSOU,BYTE,1,2,1,1
|
||||
99,OBSTRN,POINT,78,INFORM,STRING,1,Wave Meter,2,1
|
||||
99,OBSTRN,POINT,116,VALSOU,WORD10,1,25,2,4
|
||||
99,OBSTRN,POINT,116,VALSOU,WORD10,2,1.5,2,4
|
||||
99,OBSTRN,POINT,116,VALSOU,WORD10,3,1.2,1,4
|
||||
99,OBSTRN,POINT,116,VALSOU,WORD10,4,4.9,1,4
|
||||
99,OBSTRN,POINT,124,WATLEV,BYTE,1,3,6,1
|
||||
99,OBSTRN,AREA,78,INFORM,STRING,1,Crib|Caissons,2,2
|
||||
99,OBSTRN,AREA,78,INFORM,STRING,2,Crib|Caisson Area,1,2
|
||||
99,OBSTRN,AREA,116,VALSOU,WORD10,1,4.9,1,3
|
||||
99,OBSTRN,AREA,116,VALSOU,WORD10,2,1.2,1,3
|
||||
99,OBSTRN,AREA,116,VALSOU,WORD10,3,1.5,1,3
|
||||
99,OBSTRN,AREA,124,WATLEV,BYTE,1,3,70,1
|
||||
103,PILPNT,POINT,78,INFORM,STRING,1,Always dry,8,2
|
||||
103,PILPNT,POINT,78,INFORM,STRING,2,Private,1,2
|
||||
107,PIPSOL,LINE,35,CATPIP,BYTE,1,1,2,1
|
||||
107,PIPSOL,LINE,78,INFORM,STRING,1,"PIPELINES|Mariners are advised not to anchor or trawl in the vicinity of pipelines. Gas from a damaged oil or gas pipeline could cause an explosion, loss of a vessels buoyancy or other serious hazard. Pipelines are not always buried and may effectively reduce the charted depth by up to 2 metres. They may also span seabed undulations and cause fishing gear to become irrecoverably snagged, putting a vessel in severe danger. See Annual Notice to Mariners No 24 and The Mariners Handbook.",1,1
|
||||
107,PIPSOL,LINE,89,PRODCT,LIST,1,[1],1,2
|
||||
107,PIPSOL,LINE,89,PRODCT,LIST,2,[2],1,2
|
||||
111,PRDINS,POINT,78,INFORM,STRING,1,Production area,12,1
|
||||
111,PRDINS,POINT,80,OBJNAM,STRING,1,"Pacific Metals CO., LTD.",2,11
|
||||
111,PRDINS,POINT,80,OBJNAM,STRING,2,"Tozai Oilterminal Co.,Ltd.",1,11
|
||||
111,PRDINS,POINT,80,OBJNAM,STRING,3,Tohoku Satetsu,1,11
|
||||
111,PRDINS,POINT,80,OBJNAM,STRING,4,"MRC Unitec Co., Ltd.",1,11
|
||||
111,PRDINS,POINT,80,OBJNAM,STRING,5,Toshin Steel Industry,1,11
|
||||
111,PRDINS,POINT,80,OBJNAM,STRING,6,"Hachinohe Gas Co., Ltd.",1,11
|
||||
111,PRDINS,POINT,80,OBJNAM,STRING,7,"Koshuha Foundry Co., Ltd.",1,11
|
||||
111,PRDINS,POINT,80,OBJNAM,STRING,8,"Sumimetal Mining Co., Ltd.",1,11
|
||||
111,PRDINS,POINT,80,OBJNAM,STRING,9,"Hachinohe Smelting Co., Ltd.",1,11
|
||||
111,PRDINS,POINT,80,OBJNAM,STRING,10,"Kitanihon Shipbuilding Co., Ltd.",1,11
|
||||
111,PRDINS,POINT,80,OBJNAM,STRING,11,JX Nippon Oil & Energy Corporation,1,11
|
||||
111,PRDINS,POINT,89,PRODCT,LIST,1,[1],1,2
|
||||
111,PRDINS,POINT,89,PRODCT,LIST,2,[2],1,2
|
||||
111,PRDINS,POINT,91,QUAPOS,BYTE,1,4,11,1
|
||||
111,PRDINS,AREA,78,INFORM,STRING,1,Tank farm,9,4
|
||||
111,PRDINS,AREA,78,INFORM,STRING,2,Production area,3,4
|
||||
111,PRDINS,AREA,78,INFORM,STRING,3,Production area|Silo farm,2,4
|
||||
111,PRDINS,AREA,78,INFORM,STRING,4,Tank farm|Oil Tank Yard,1,4
|
||||
111,PRDINS,AREA,80,OBJNAM,STRING,1,Mitsubishi Paper Mills Limited,1,3
|
||||
111,PRDINS,AREA,80,OBJNAM,STRING,2,"Tokyotekko Co., Ltd.",1,3
|
||||
111,PRDINS,AREA,80,OBJNAM,STRING,3,Yoshida Sangyo Corporation,1,3
|
||||
111,PRDINS,AREA,89,PRODCT,LIST,1,[1],1,1
|
||||
112,PYLONS,POINT,78,INFORM,STRING,1,Power transmission pylon/pole,2,1
|
||||
129,RIVERS,AREA,80,OBJNAM,STRING,1,Mabechi River,1,3
|
||||
129,RIVERS,AREA,80,OBJNAM,STRING,2,Oirase River,1,3
|
||||
129,RIVERS,AREA,80,OBJNAM,STRING,3,Gonohe Kawa,1,3
|
||||
118,RTPBCN,POINT,38,CATRTB,BYTE,1,1,1,1
|
||||
118,RTPBCN,POINT,108,SORIND,STRING,1,"GB,MDHS,graph,LL F-6620.A",1,1
|
||||
138,SBDARE,POINT,90,NATQUA,LIST,1,[1],144,2
|
||||
138,SBDARE,POINT,90,NATQUA,LIST,2,[3],1,2
|
||||
138,SBDARE,POINT,82,NATSUR,LIST,1,[4],176,11
|
||||
138,SBDARE,POINT,82,NATSUR,LIST,2,[1],54,11
|
||||
138,SBDARE,POINT,82,NATSUR,LIST,3,[9],15,11
|
||||
138,SBDARE,POINT,82,NATSUR,LIST,4,[5],14,11
|
||||
138,SBDARE,POINT,82,NATSUR,LIST,5,"[4,17]",9,11
|
||||
138,SBDARE,POINT,82,NATSUR,LIST,6,"[1,4]",8,11
|
||||
138,SBDARE,POINT,82,NATSUR,LIST,7,"[4,1]",7,11
|
||||
138,SBDARE,POINT,82,NATSUR,LIST,8,"[6,17,61]",1,11
|
||||
138,SBDARE,POINT,82,NATSUR,LIST,9,"[1,4,17]",1,11
|
||||
138,SBDARE,POINT,82,NATSUR,LIST,10,"[1,6]",1,11
|
||||
138,SBDARE,POINT,82,NATSUR,LIST,11,"[1,4,5]",1,11
|
||||
138,SBDARE,AREA,82,NATSUR,LIST,1,[9],5,3
|
||||
138,SBDARE,AREA,82,NATSUR,LIST,2,[4],3,3
|
||||
138,SBDARE,AREA,82,NATSUR,LIST,3,[5],1,3
|
||||
136,SEAARE,AREA,80,OBJNAM,STRING,1,North Pacific Ocean,1,2
|
||||
136,SEAARE,AREA,80,OBJNAM,STRING,2,Hamanaka,1,2
|
||||
142,SILBUI,POINT,78,INFORM,STRING,1,More than one,1,3
|
||||
142,SILBUI,POINT,78,INFORM,STRING,2,more than one,1,3
|
||||
142,SILBUI,POINT,78,INFORM,STRING,3,SILOS,1,3
|
||||
142,SILBUI,POINT,91,QUAPOS,BYTE,1,4,2,1
|
||||
140,SISTAT,POINT,47,CATSIT,LIST,1,[2],2,1
|
||||
141,SISTAW,POINT,48,CATSIW,LIST,1,[10],1,1
|
||||
139,SLCONS,LINE,46,CATSLC,BYTE,1,6,3,1
|
||||
139,SLCONS,LINE,63,CONDTN,BYTE,1,2,5,1
|
||||
139,SLCONS,LINE,78,INFORM,STRING,1,Land Area,2,1
|
||||
139,SLCONS,LINE,80,OBJNAM,STRING,1,No 3,1,3
|
||||
139,SLCONS,LINE,80,OBJNAM,STRING,2,Kawaragi No 1,1,3
|
||||
139,SLCONS,LINE,80,OBJNAM,STRING,3,Kawaragi No 2,1,3
|
||||
139,SLCONS,LINE,124,WATLEV,BYTE,1,2,204,1
|
||||
139,SLCONS,AREA,46,CATSLC,BYTE,1,1,34,3
|
||||
139,SLCONS,AREA,46,CATSLC,BYTE,2,6,10,3
|
||||
139,SLCONS,AREA,46,CATSLC,BYTE,3,4,4,3
|
||||
139,SLCONS,AREA,63,CONDTN,BYTE,1,2,8,2
|
||||
139,SLCONS,AREA,63,CONDTN,BYTE,2,3,1,2
|
||||
139,SLCONS,AREA,78,INFORM,STRING,1,Source date: 2005,1,1
|
||||
139,SLCONS,AREA,83,NATCON,LIST,1,[3],78,1
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,1,Hattaro North Breakwater,3,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,2,Middle Breakwater,2,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,3,Hattaro East Breakwater,2,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,4,West Breakwater,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,5,Grain Terminal,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,6,No 4 Wharf,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,7,No 3 Wharf,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,8,No 1 Wharf,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,9,No 2 Wharf,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,10,Kawaragi No 2 Wharf,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,11,No 2 Middle Breakwater,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,12,Shirogane West Breakwater,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,13,Japan Maritime Self Defense Force Quay,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,14,Ichikawa East Breakwater,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,15,Shirogane North Breakwater,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,16,Grain Terminal Pier,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,17,Ichikawa North Breakwater,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,18,Ferry Wharf,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,19,Mitsubishi Paper Mills Limited Quay,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,20,Kabu Island Breakwater,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,21,Shirogane Wharf,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,22,Kawaragi South Breakwater,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,23,Kawaragi West Breakwater,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,24,Hachinohe Smelting Quay,1,25
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,25,Kawaragi Breakwater,1,25
|
||||
139,SLCONS,AREA,124,WATLEV,BYTE,1,2,100,3
|
||||
139,SLCONS,AREA,124,WATLEV,BYTE,2,4,9,3
|
||||
139,SLCONS,AREA,124,WATLEV,BYTE,3,3,1,3
|
||||
143,SLIPWY,AREA,80,OBJNAM,STRING,1,Ichikawa Slipway,1,1
|
||||
143,SLIPWY,AREA,124,WATLEV,BYTE,1,4,2,2
|
||||
143,SLIPWY,AREA,124,WATLEV,BYTE,2,2,1,2
|
||||
155,TESARE,AREA,78,INFORM,STRING,1,"Jeppesen adopts ""International Boundaries and National Limits"" as defined by international standards from sources, such as government provided official charts and other official documents. Due to the resolution of information provided, as well as the age of underlying surveys or publication dates, the reference datum used or its conversion, inaccuracies in the position or the form of these boundaries and limits may exist and as such may not be relied on as a primary source of information. Therefore Jeppesen cannot accept any liability regarding the use of this data for navigation.",3,1
|
||||
155,TESARE,AREA,81,NATION,STRING,1,JP,3,1
|
||||
158,TOWERS,POINT,52,CATTOW,BYTE,1,1,22,3
|
||||
158,TOWERS,POINT,52,CATTOW,BYTE,2,3,19,3
|
||||
158,TOWERS,POINT,52,CATTOW,BYTE,3,2,10,3
|
||||
158,TOWERS,POINT,59,COLOUR,LIST,1,[1],22,1
|
||||
158,TOWERS,POINT,65,CONVIS,BYTE,1,1,23,2
|
||||
158,TOWERS,POINT,65,CONVIS,BYTE,2,2,4,2
|
||||
158,TOWERS,POINT,73,HEIGHT,REAL,1,51,1,2
|
||||
158,TOWERS,POINT,73,HEIGHT,REAL,2,53,1,2
|
||||
158,TOWERS,POINT,78,INFORM,STRING,1,Radio,4,3
|
||||
158,TOWERS,POINT,78,INFORM,STRING,2,Ice Supply Tower,2,3
|
||||
158,TOWERS,POINT,78,INFORM,STRING,3,Framework tower,1,3
|
||||
158,TOWERS,POINT,83,NATCON,LIST,1,[2],12,1
|
||||
158,TOWERS,POINT,91,QUAPOS,BYTE,1,4,6,1
|
||||
158,TOWERS,POINT,108,SORIND,STRING,1,"GB,UKHO,graph,LL M-6620",3,17
|
||||
158,TOWERS,POINT,108,SORIND,STRING,2,"GB,UKHO,graph,LL M-6621",2,17
|
||||
158,TOWERS,POINT,108,SORIND,STRING,3,"GB,UKHO,graph,LL M-6625.5",2,17
|
||||
158,TOWERS,POINT,108,SORIND,STRING,4,"GB,UKHO,graph,LL M-6624.86",2,17
|
||||
158,TOWERS,POINT,108,SORIND,STRING,5,"GB,UKHO,graph,LL M-6619.5",1,17
|
||||
158,TOWERS,POINT,108,SORIND,STRING,6,"GB,UKHO,graph,LL M-6618.4",1,17
|
||||
158,TOWERS,POINT,108,SORIND,STRING,7,"GB,UKHO,graph,LL M-6625.7",1,17
|
||||
158,TOWERS,POINT,108,SORIND,STRING,8,"GB,UKHO,graph,LL M-6624.85",1,17
|
||||
158,TOWERS,POINT,108,SORIND,STRING,9,"GB,MDHS,graph,LL F-6623.2",1,17
|
||||
158,TOWERS,POINT,108,SORIND,STRING,10,"GB,MDHS,graph,LL F-6621",1,17
|
||||
158,TOWERS,POINT,108,SORIND,STRING,11,"GB,MDHS,graph,LL F-6622",1,17
|
||||
158,TOWERS,POINT,108,SORIND,STRING,12,"GB,MDHS,graph,LL F-6625.5",1,17
|
||||
158,TOWERS,POINT,108,SORIND,STRING,13,"GB,MDHS,graph,LL F-6620",1,17
|
||||
158,TOWERS,POINT,108,SORIND,STRING,14,"GB,MDHS,graph,LL F-6624.4",1,17
|
||||
158,TOWERS,POINT,108,SORIND,STRING,15,"GB,MDHS,graph,LL F-6624.85",1,17
|
||||
158,TOWERS,POINT,108,SORIND,STRING,16,"GB,UKHO,graph,LL M-6622",1,17
|
||||
158,TOWERS,POINT,108,SORIND,STRING,17,"GB,UKHO,graph,LL M-6624.4",1,17
|
||||
158,TOWERS,POINT,122,VERLEN,REAL,1,9,7,7
|
||||
158,TOWERS,POINT,122,VERLEN,REAL,2,23,4,7
|
||||
158,TOWERS,POINT,122,VERLEN,REAL,3,10,4,7
|
||||
158,TOWERS,POINT,122,VERLEN,REAL,4,5,3,7
|
||||
158,TOWERS,POINT,122,VERLEN,REAL,5,16,2,7
|
||||
158,TOWERS,POINT,122,VERLEN,REAL,6,6,1,7
|
||||
158,TOWERS,POINT,122,VERLEN,REAL,7,8,1,7
|
||||
168,UWTROC,POINT,69,EXPSOU,BYTE,1,2,3,1
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,1,15,5,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,2,9.9,4,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,3,2.6,4,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,4,4.4,4,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,5,2,4,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,6,17,3,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,7,18,3,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,8,19,3,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,9,21,3,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,10,0.3,2,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,11,1.7,2,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,12,2.2,2,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,13,4.1,2,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,14,0.7,2,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,15,2.3,2,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,16,7.7,2,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,17,7.8,2,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,18,8.8,2,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,19,16,2,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,20,20,2,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,21,0.5,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,22,0.8,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,23,1.4,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,24,1.6,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,25,2.5,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,26,2.7,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,27,3.1,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,28,4,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,29,4.7,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,30,4.8,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,31,5.7,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,32,5.9,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,33,6.2,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,34,6.3,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,35,6.5,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,36,6.8,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,37,6.9,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,38,7,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,39,7.3,1,69
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,40,7.4,1,69
|
||||
168,UWTROC,POINT,124,WATLEV,BYTE,1,3,110,3
|
||||
168,UWTROC,POINT,124,WATLEV,BYTE,2,2,56,3
|
||||
168,UWTROC,POINT,124,WATLEV,BYTE,3,4,10,3
|
||||
176,WRECKS,POINT,57,CATWRK,BYTE,1,3,477,2
|
||||
176,WRECKS,POINT,57,CATWRK,BYTE,2,2,2,2
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,1,11.2,7,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,2,12.2,5,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,3,12.6,5,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,4,9.6,4,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,5,10.2,4,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,6,11.1,4,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,7,12,4,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,8,12.5,4,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,9,6.3,3,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,10,7,3,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,11,7.3,3,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,12,8.3,3,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,13,9,3,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,14,9.5,3,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,15,11.4,3,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,16,11.9,3,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,17,12.3,3,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,18,12.7,3,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,19,13,3,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,20,13.1,3,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,21,13.4,3,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,22,23.5,2,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,23,21.5,2,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,24,3,2,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,25,3.7,2,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,26,4.3,2,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,27,5,2,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,28,5.1,2,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,29,5.7,2,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,30,6,2,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,31,6.2,2,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,32,6.9,2,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,33,7.8,2,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,34,8.1,2,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,35,8.5,2,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,36,8.7,2,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,37,9.1,2,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,38,9.4,2,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,39,9.9,2,103
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,40,10.3,2,103
|
||||
176,WRECKS,POINT,124,WATLEV,BYTE,1,3,480,1
|
||||
176,WRECKS,AREA,57,CATWRK,BYTE,1,2,1,1
|
||||
176,WRECKS,AREA,116,VALSOU,WORD10,1,7,1,1
|
||||
176,WRECKS,AREA,124,WATLEV,BYTE,1,3,1,1
|
||||
201,_extgn,POINT,60,COLMAR,BYTE,1,11,1,1
|
||||
201,_extgn,POINT,78,INFORM,STRING,1,Height: 123m|Chimney|Visually conspicuous,1,1
|
||||
217,_m_sor,META,151,CSCALE,LONG,1,3000000,1,6
|
||||
217,_m_sor,META,151,CSCALE,LONG,2,1200000,1,6
|
||||
217,_m_sor,META,151,CSCALE,LONG,3,250000,1,6
|
||||
217,_m_sor,META,151,CSCALE,LONG,4,20000,1,6
|
||||
217,_m_sor,META,151,CSCALE,LONG,5,12000,1,6
|
||||
217,_m_sor,META,151,CSCALE,LONG,6,20000000,1,6
|
||||
217,_m_sor,META,75,HORDAT,BYTE,1,2,6,1
|
||||
217,_m_sor,META,84,MARSYS,BYTE,1,2,4,2
|
||||
217,_m_sor,META,84,MARSYS,BYTE,2,1,2,2
|
||||
217,_m_sor,META,156,NMDATE,STRING,1,20021101,2,5
|
||||
217,_m_sor,META,156,NMDATE,STRING,2,20140926,1,5
|
||||
217,_m_sor,META,156,NMDATE,STRING,3,20140523,1,5
|
||||
217,_m_sor,META,156,NMDATE,STRING,4,20060323,1,5
|
||||
217,_m_sor,META,156,NMDATE,STRING,5,20140328,1,5
|
||||
217,_m_sor,META,96,RECDAT,STRING,1,20080102,2,5
|
||||
217,_m_sor,META,96,RECDAT,STRING,2,20141006,1,5
|
||||
217,_m_sor,META,96,RECDAT,STRING,3,20140602,1,5
|
||||
217,_m_sor,META,96,RECDAT,STRING,4,20060322,1,5
|
||||
217,_m_sor,META,96,RECDAT,STRING,5,20140505,1,5
|
||||
217,_m_sor,META,108,SORIND,STRING,1,"IT,CMAP,graph,W-135",1,6
|
||||
217,_m_sor,META,108,SORIND,STRING,2,"JP,JHOD,graph,W1154",1,6
|
||||
217,_m_sor,META,108,SORIND,STRING,3,"JP,JHOD,graph,W53",1,6
|
||||
217,_m_sor,META,108,SORIND,STRING,4,"GB,MDHS,graph,2959B",1,6
|
||||
217,_m_sor,META,108,SORIND,STRING,5,"JP,JHOD,graph,W65",1,6
|
||||
217,_m_sor,META,108,SORIND,STRING,6,"IT,CMAP,graph,W-14",1,6
|
||||
217,_m_sor,META,121,VERDAT,BYTE,1,11,3,2
|
||||
217,_m_sor,META,121,VERDAT,BYTE,2,10,1,2
|
||||
217,_m_sor,META,173,_chcod,STRING,1,90-01520,1,6
|
||||
217,_m_sor,META,173,_chcod,STRING,2,31-0F270,1,6
|
||||
217,_m_sor,META,173,_chcod,STRING,3,31-0F710,1,6
|
||||
217,_m_sor,META,173,_chcod,STRING,4,31-0684B,1,6
|
||||
217,_m_sor,META,173,_chcod,STRING,5,31-0F700,1,6
|
||||
217,_m_sor,META,173,_chcod,STRING,6,90-00310,1,6
|
||||
217,_m_sor,META,174,_dgdat,STRING,1,20000101,2,5
|
||||
217,_m_sor,META,174,_dgdat,STRING,2,20081003,1,5
|
||||
217,_m_sor,META,174,_dgdat,STRING,3,20070914,1,5
|
||||
217,_m_sor,META,174,_dgdat,STRING,4,20030320,1,5
|
||||
217,_m_sor,META,174,_dgdat,STRING,5,20120313,1,5
|
||||
217,_m_sor,META,180,_hvdat,BYTE,1,3,3,2
|
||||
217,_m_sor,META,180,_hvdat,BYTE,2,21,1,2
|
||||
217,_m_sor,META,175,_quart,BYTE,1,4,6,1
|
||||
217,_m_sor,META,177,_sorhd,BYTE,1,2,6,1
|
||||
217,_m_sor,META,178,_wgsox,REAL,1,0,6,1
|
||||
217,_m_sor,META,179,_wgsoy,REAL,1,0,6,1
|
||||
198,_texto,POINT,139,_texta,COMPLEX,1,"{""prefix"":[0,12,0],""text"":""Same Kado""}",3,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,2,"{""prefix"":[0,12,0],""text"":""Hachinohe""}",3,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,3,"{""prefix"":[0,12,0],""text"":""Hachinohe Fishing Harbour""}",3,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,4,"{""prefix"":[0,12,0],""text"":""Misawa""}",2,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,5,"{""prefix"":[0,12,0],""text"":""Hamanaka""}",2,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,6,"{""prefix"":[0,12,0],""text"":""Hashimukai""}",2,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,7,"{""prefix"":[128,12,0],""text"":""HACHINOHE""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,8,"{""prefix"":[0,12,0],""text"":""AOMORI""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,9,"{""prefix"":[0,12,0],""text"":""Hachinohe Ko""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,10,"{""prefix"":[0,12,0],""text"":""Kabayama Reef""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,11,"{""prefix"":[0,12,0],""text"":""Hitokawame""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,12,"{""prefix"":[0,12,0],""text"":""Mikawame""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,13,"{""prefix"":[0,12,0],""text"":""Minato""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,14,"{""prefix"":[0,12,0],""text"":""Oirase Town""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,15,"{""prefix"":[0,12,0],""text"":""Okuki""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,16,"{""prefix"":[0,12,0],""text"":""Same""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,17,"{""prefix"":[0,12,0],""text"":""Shirahama""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,18,"{""prefix"":[0,12,0],""text"":""CONVEYOR""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,19,"{""prefix"":[0,12,0],""text"":""H A C H I T A R O""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,20,"{""prefix"":[0,12,0],""text"":""HACHINOHE""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,21,"{""prefix"":[16,12,0],""text"":""HACHINOHE""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,22,"{""prefix"":[0,12,0],""text"":""HINODE IWA(ILLUM)""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,23,"{""prefix"":[0,12,0],""text"":""HOUSE""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,24,"{""prefix"":[0,12,0],""text"":""K A W A R A G I""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,25,"{""prefix"":[0,12,0],""text"":""KABAYAMA NE""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,26,"{""prefix"":[0,12,0],""text"":""KABU SH.""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,27,"{""prefix"":[0,12,0],""text"":""KO NE""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,28,"{""prefix"":[0,12,0],""text"":""MABECHI KAWA""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,29,"{""prefix"":[0,12,0],""text"":""MITSUBUSHI JETTY""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,30,"{""prefix"":[0,12,0],""text"":""MONOMIWA""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,31,"{""prefix"":[0,12,0],""text"":""N. BREAKWATER""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,32,"{""prefix"":[0,12,0],""text"":""NIIDA KAWA""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,33,"{""prefix"":[0,12,0],""text"":""No 1 WHARF""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,34,"{""prefix"":[0,12,0],""text"":""No 2 WHARF""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,35,"{""prefix"":[0,12,0],""text"":""No 4 WHARF""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,36,"{""prefix"":[0,12,0],""text"":""O SAKI""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,37,"{""prefix"":[0,12,0],""text"":""OGOMUNE""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,38,"{""prefix"":[0,12,0],""text"":""SAME KADO""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,39,"{""prefix"":[0,12,0],""text"":""SHIROGANE WHARF""}",1,104
|
||||
198,_texto,POINT,139,_texta,COMPLEX,40,"{""prefix"":[0,12,0],""text"":""SILOS""}",1,104
|
||||
|
@@ -0,0 +1,73 @@
|
||||
attribute_id,attribute_name,source_type_name,decoder_type,min_value,max_value,raw_line
|
||||
3,CATACH,aLIST,L,1.0,9.0,CATACH|3|aLIST|1|9
|
||||
4,CATBRG,aLIST,L,1.0,9.0,CATBRG|4|aLIST|1|9
|
||||
6,CATCBL,aBYTE,B,1.0,3.0,CATCBL|6|aBYTE|1|3
|
||||
9,CATCTR,aBYTE,B,1.0,5.0,CATCTR|9|aBYTE|1|5
|
||||
10,CATCRN,aBYTE,B,1.0,4.0,CATCRN|10|aBYTE|1|4
|
||||
20,CATHAF,aLIST,L,1.0,10.0,CATHAF|20|aLIST|1|10
|
||||
24,CATLAM,aBYTE,B,1.0,4.0,CATLAM|24|aBYTE|1|4
|
||||
25,CATLIT,aBYTE,B,1.0,11.0,CATLIT|25|aBYTE|1|11
|
||||
29,CATMOR,aBYTE,B,1.0,3.0,CATMOR|29|aBYTE|1|3
|
||||
35,CATPIP,aBYTE,B,1.0,4.0,CATPIP|35|aBYTE|1|4
|
||||
38,CATRTB,aBYTE,B,1.0,2.0,CATRTB|38|aBYTE|1|2
|
||||
41,CATREB,aBYTE,B,1.0,9.0,CATREB|41|aBYTE|1|9
|
||||
46,CATSLC,aBYTE,B,1.0,10.0,CATSLC|46|aBYTE|1|10
|
||||
47,CATSIT,aLIST,L,1.0,9.0,CATSIT|47|aLIST|1|9
|
||||
48,CATSIW,aLIST,L,1.0,13.0,CATSIW|48|aLIST|1|13
|
||||
49,CATBUI,aLIST,L,1.0,21.0,CATBUI|49|aLIST|1|21
|
||||
51,CATSPM,aBYTE,B,1.0,38.0,CATSPM|51|aBYTE|1|38
|
||||
52,CATTOW,aBYTE,B,1.0,7.0,CATTOW|52|aBYTE|1|7
|
||||
57,CATWRK,aBYTE,B,1.0,5.0,CATWRK|57|aBYTE|1|5
|
||||
58,LITCHR,aBYTE,B,1.0,27.0,LITCHR|58|aBYTE|1|27
|
||||
59,COLOUR,aLIST,L,1.0,55.0,COLOUR|59|aLIST|1|55
|
||||
60,COLMAR,aBYTE,B,1.0,18.0,COLMAR|60|aBYTE|1|18
|
||||
63,CONDTN,aBYTE,B,1.0,5.0,CONDTN|63|aBYTE|1|5
|
||||
65,CONVIS,aBYTE,B,1.0,2.0,CONVIS|65|aBYTE|1|2
|
||||
66,DRVAL1,aFLOAT,R,0.0,12000.0,DRVAL1|66|aFLOAT|0.0|12000.0
|
||||
67,DRVAL2,aFLOAT,R,0.0,12000.0,DRVAL2|67|aFLOAT|0.0|12000.0
|
||||
69,EXPSOU,aBYTE,B,1.0,3.0,EXPSOU|69|aBYTE|1|3
|
||||
72,SIGGRP,aSTRING,S,,,SIGGRP|72|aSTRING
|
||||
73,HEIGHT,aFLOAT,R,-500.0,8900.0,HEIGHT|73|aFLOAT|-500.0|8900.0
|
||||
75,HORDAT,aBYTE,B,0.0,221.0,HORDAT|75|aBYTE|0|221
|
||||
78,INFORM,aSTRING,S,,,INFORM|78|aSTRING
|
||||
80,OBJNAM,aSTRING,S,,,OBJNAM|80|aSTRING
|
||||
81,NATION,aSTRING,S,,,NATION|81|aSTRING
|
||||
82,NATSUR,aLIST,L,1.0,88.0,NATSUR|82|aLIST|1|88
|
||||
83,NATCON,aLIST,L,1.0,7.0,NATCON|83|aLIST|1|7
|
||||
84,MARSYS,aBYTE,B,1.0,8.0,MARSYS|84|aBYTE|1|8
|
||||
86,SIGPER,aWORD10,W,0.0,1000.0,SIGPER|86|aWORD10|0.0|1000.0
|
||||
89,PRODCT,aLIST,L,1.0,6.0,PRODCT|89|aLIST|1|6
|
||||
90,NATQUA,aLIST,L,1.0,60.0,NATQUA|90|aLIST|1|60
|
||||
91,QUAPOS,aBYTE,B,1.0,8.0,QUAPOS|91|aBYTE|1|8
|
||||
93,QUAVEM,aBYTE,B,1.0,2.0,QUAVEM|93|aBYTE|1|2
|
||||
96,RECDAT,aSTRING,S,,,RECDAT|96|aSTRING
|
||||
100,SECTR1,aWORD10,W,0.0,360.0,SECTR1|100|aWORD10|0.0|360.0
|
||||
101,SECTR2,aWORD10,W,0.0,360.0,SECTR2|101|aWORD10|0.0|360.0
|
||||
103,BCNSHP,aBYTE,B,1.0,4.0,BCNSHP|103|aBYTE|1|4
|
||||
104,BUISHP,aBYTE,B,1.0,6.0,BUISHP|104|aBYTE|1|6
|
||||
105,BOYSHP,aBYTE,B,1.0,8.0,BOYSHP|105|aBYTE|1|8
|
||||
108,SORIND,aSTRING,S,,,SORIND|108|aSTRING
|
||||
109,STATUS,aLIST,L,1.0,11.0,STATUS|109|aLIST|1|11
|
||||
113,VALDCO,aFLOAT,R,0.0,12000.0,VALDCO|113|aFLOAT|0.0|12000.0
|
||||
115,VALNMR,aWORD10,W,0.0,400.0,VALNMR|115|aWORD10|0.0|400.0
|
||||
116,VALSOU,aWORD10,W,0.0,12000.0,VALSOU|116|aWORD10|0|12000.0
|
||||
117,VERCLR,aFLOAT,R,0.0,10000.0,VERCLR|117|aFLOAT|0.0|10000.0
|
||||
121,VERDAT,aBYTE,B,1.0,59.0,VERDAT|121|aBYTE|1|59
|
||||
122,VERLEN,aFLOAT,R,0.0,10000.0,VERLEN|122|aFLOAT|0.0|10000.0
|
||||
124,WATLEV,aBYTE,B,1.0,5.0,WATLEV|124|aBYTE|1|5
|
||||
126,$VARIA,aSTRING,S,,,$VARIA|126|aSTRING
|
||||
127,$CYEAR,aFLOAT,R,0.0,3000.0,$CYEAR|127|aFLOAT|0.0|3000.0
|
||||
128,$ANNCH,aSTRING,S,,,$ANNCH|128|aSTRING
|
||||
129,$SCODE,aSTRING,S,,,$SCODE|129|aSTRING
|
||||
139,_texta,aCMPLX,C,,,_texta|139|aCMPLX
|
||||
147,CATCOA,aBYTE,B,1.0,9.0,CATCOA|147|aBYTE|1|9
|
||||
150,CPDATE,aSTRING,S,,,CPDATE|150|aSTRING
|
||||
151,CSCALE,aLONG,G,0.0,20000000.0,CSCALE|151|aLONG|0|20000000
|
||||
156,NMDATE,aSTRING,S,,,NMDATE|156|aSTRING
|
||||
173,_chcod,aSTRING,S,,,_chcod|173|aSTRING
|
||||
174,_dgdat,aSTRING,S,,,_dgdat|174|aSTRING
|
||||
175,_quart,aBYTE,B,1.0,6.0,_quart|175|aBYTE|1|6
|
||||
177,_sorhd,aBYTE,B,0.0,221.0,_sorhd|177|aBYTE|0|221
|
||||
178,_wgsox,aFLOAT,R,-5000.0,5000.0,_wgsox|178|aFLOAT|-5000.0|5000.0
|
||||
179,_wgsoy,aFLOAT,R,-5000.0,5000.0,_wgsoy|179|aFLOAT|-5000.0|5000.0
|
||||
180,_hvdat,aBYTE,B,1.0,59.0,_hvdat|180|aBYTE|1|59
|
||||
|
@@ -0,0 +1,178 @@
|
||||
object_class_id,object_class,geometry_type,attribute_id,attribute_name,value_type,occurrence_count,distinct_value_count,native_scales,top_values
|
||||
194,$AREAS,AREA,129,$SCODE,STRING,11,1,"[20000, 50000, 200000]","[{""value"": ""II25"", ""count"": 11}]"
|
||||
191,$COMPS,POINT,128,$ANNCH,STRING,5,2,"[20000, 50000]","[{""value"": ""00.00 E"", ""count"": 4}, {""value"": ""01.00 W"", ""count"": 1}]"
|
||||
191,$COMPS,POINT,127,$CYEAR,REAL,5,2,"[20000, 50000]","[{""value"": ""2012"", ""count"": 4}, {""value"": ""2002"", ""count"": 1}]"
|
||||
191,$COMPS,POINT,126,$VARIA,STRING,5,1,"[20000, 50000]","[{""value"": ""08.25 W"", ""count"": 5}]"
|
||||
193,$LINES,LINE,129,$SCODE,STRING,15,3,"[20000, 50000]","[{""value"": ""IH40"", ""count"": 6}, {""value"": ""IH41"", ""count"": 6}, {""value"": ""IK1"", ""count"": 3}]"
|
||||
4,ACHARE,AREA,3,CATACH,LIST,2,1,"[20000, 50000]","[{""value"": ""[5]"", ""count"": 2}]"
|
||||
1,AIRARE,POINT,80,OBJNAM,STRING,1,1,[20000],"[{""value"": ""Hachinohe Airfield"", ""count"": 1}]"
|
||||
7,BCNLAT,POINT,103,BCNSHP,BYTE,4,1,[50000],"[{""value"": ""3"", ""count"": 4}]"
|
||||
7,BCNLAT,POINT,24,CATLAM,BYTE,15,1,"[20000, 50000, 200000]","[{""value"": ""2"", ""count"": 15}]"
|
||||
7,BCNLAT,POINT,60,COLMAR,BYTE,15,1,"[20000, 50000, 200000]","[{""value"": ""3"", ""count"": 15}]"
|
||||
7,BCNLAT,POINT,78,INFORM,STRING,6,3,"[20000, 50000, 200000]","[{""value"": ""Concrete"", ""count"": 3}, {""value"": ""Metal"", ""count"": 2}, {""value"": ""Metal|Framework tower"", ""count"": 1}]"
|
||||
7,BCNLAT,POINT,108,SORIND,STRING,15,11,"[20000, 50000, 200000]","[{""value"": ""GB,UKHO,graph,LL M-6623"", ""count"": 2}, {""value"": ""GB,UKHO,graph,LL M-6624.8"", ""count"": 2}, {""value"": ""GB,UKHO,graph,LL M-6624.7"", ""count"": 2}, {""value"": ""GB,UKHO,graph,LL M-6624"", ""count"": 2}, {""value"": ""GB,UKHO,graph,LL M-6619"", ""count"": 1}, {""value"": ""GB,MDHS,graph,LL F-6623"", ""count"": 1}, {""value"": ""GB,MDHS,graph,LL F-6623.6"", ""count"": 1}, {""value"": ""GB,MDHS,graph,LL F-6624.8"", ""count"": 1}, {""value"": ""GB,MDHS,graph,LL F-6624.7"", ""count"": 1}, {""value"": ""GB,MDHS,graph,LL F-6624"", ""count"": 1}, {""value"": ""GB,UKHO,graph,LL M-6623.6"", ""count"": 1}]"
|
||||
7,BCNLAT,POINT,122,VERLEN,REAL,15,4,"[20000, 50000, 200000]","[{""value"": ""10"", ""count"": 6}, {""value"": ""9"", ""count"": 5}, {""value"": ""16"", ""count"": 3}, {""value"": ""6"", ""count"": 1}]"
|
||||
9,BCNSPP,POINT,51,CATSPM,BYTE,5,2,"[20000, 50000, 1000000]","[{""value"": ""6"", ""count"": 4}, {""value"": ""27"", ""count"": 1}]"
|
||||
9,BCNSPP,POINT,60,COLMAR,BYTE,2,1,"[20000, 200000]","[{""value"": ""5"", ""count"": 2}]"
|
||||
9,BCNSPP,POINT,78,INFORM,STRING,4,1,"[200000, 1000000]","[{""value"": ""Metal"", ""count"": 4}]"
|
||||
9,BCNSPP,POINT,108,SORIND,STRING,6,3,"[20000, 200000, 1000000]","[{""value"": ""GB,UKHO,graph,LL M-6625"", ""count"": 2}, {""value"": ""GB,UKHO,graph,LL M-6626"", ""count"": 2}, {""value"": ""GB,UKHO,graph,LL M-6623.2"", ""count"": 2}]"
|
||||
9,BCNSPP,POINT,122,VERLEN,REAL,4,2,"[20000, 200000, 1000000]","[{""value"": ""43"", ""count"": 2}, {""value"": ""9"", ""count"": 2}]"
|
||||
20,BOYSPP,POINT,105,BOYSHP,BYTE,8,2,"[20000, 50000]","[{""value"": ""1"", ""count"": 5}, {""value"": ""4"", ""count"": 3}]"
|
||||
20,BOYSPP,POINT,51,CATSPM,BYTE,5,3,"[20000, 50000]","[{""value"": ""27"", ""count"": 3}, {""value"": ""10"", ""count"": 1}, {""value"": ""13"", ""count"": 1}]"
|
||||
20,BOYSPP,POINT,60,COLMAR,BYTE,8,1,"[20000, 50000]","[{""value"": ""4"", ""count"": 8}]"
|
||||
20,BOYSPP,POINT,78,INFORM,STRING,1,1,[50000],"[{""value"": ""Private mark|Wave recorder"", ""count"": 1}]"
|
||||
20,BOYSPP,POINT,109,STATUS,LIST,6,1,[20000],"[{""value"": ""[8]"", ""count"": 6}]"
|
||||
11,BRIDGE,AREA,4,CATBRG,LIST,2,1,[50000],"[{""value"": ""[1]"", ""count"": 2}]"
|
||||
11,BRIDGE,AREA,78,INFORM,STRING,3,2,[20000],"[{""value"": ""Vertical Datum: Nearly highest high water|Vertical clearance 4.5m - 5.5m"", ""count"": 2}, {""value"": ""Vertical Datum: Nearly highest high water"", ""count"": 1}]"
|
||||
11,BRIDGE,AREA,80,OBJNAM,STRING,7,7,[20000],"[{""value"": ""Hachinohe Bridge"", ""count"": 1}, {""value"": ""Hattaro Bridge"", ""count"": 1}, {""value"": ""The Numadate Bridge"", ""count"": 1}, {""value"": ""The Shin-O-Hashi Bridge"", ""count"": 1}, {""value"": ""Seagull Bridge"", ""count"": 1}, {""value"": ""Minato Bridge"", ""count"": 1}, {""value"": ""Ichikawa Bridge"", ""count"": 1}]"
|
||||
11,BRIDGE,AREA,117,VERCLR,REAL,5,3,"[20000, 50000]","[{""value"": ""4.5"", ""count"": 2}, {""value"": ""31"", ""count"": 2}, {""value"": ""5.30000019073486"", ""count"": 1}]"
|
||||
10,BRTFAC,POINT,80,OBJNAM,STRING,89,25,"[20000, 50000]","[{""value"": ""2"", ""count"": 8}, {""value"": ""1"", ""count"": 6}, {""value"": ""3"", ""count"": 6}, {""value"": ""4"", ""count"": 6}, {""value"": ""A"", ""count"": 6}, {""value"": ""B"", ""count"": 6}, {""value"": ""C"", ""count"": 6}, {""value"": ""5"", ""count"": 4}, {""value"": ""6"", ""count"": 4}, {""value"": ""D"", ""count"": 4}, {""value"": ""F"", ""count"": 4}, {""value"": ""G"", ""count"": 4}, {""value"": ""7"", ""count"": 2}, {""value"": ""8"", ""count"": 2}, {""value"": ""9"", ""count"": 2}, {""value"": ""E"", ""count"": 2}, {""value"": ""H"", ""count"": 2}, {""value"": ""I"", ""count"": 2}, {""value"": ""J"", ""count"": 2}, {""value"": ""L"", ""count"": 2}, {""value"": ""M"", ""count"": 2}, {""value"": ""N"", ""count"": 2}, {""value"": ""O"", ""count"": 2}, {""value"": ""10"", ""count"": 2}, {""value"": ""P"", ""count"": 1}]"
|
||||
14,BUAARE,AREA,80,OBJNAM,STRING,2,2,[200000],"[{""value"": ""Hachinohe"", ""count"": 1}, {""value"": ""Misawa"", ""count"": 1}]"
|
||||
14,BUAARE,POINT,80,OBJNAM,STRING,35,33,"[20000, 200000, 1000000]","[{""value"": ""Hachinohe"", ""count"": 2}, {""value"": ""Hashimukai"", ""count"": 2}, {""value"": ""Misawa"", ""count"": 1}, {""value"": ""Same"", ""count"": 1}, {""value"": ""Okuki"", ""count"": 1}, {""value"": ""Minato"", ""count"": 1}, {""value"": ""Mikawame"", ""count"": 1}, {""value"": ""Shirahama"", ""count"": 1}, {""value"": ""Hitokawame"", ""count"": 1}, {""value"": ""Oirase Town"", ""count"": 1}, {""value"": ""Tate"", ""count"": 1}, {""value"": ""Osawa"", ""count"": 1}, {""value"": ""Hinode"", ""count"": 1}, {""value"": ""Toyosu"", ""count"": 1}, {""value"": ""Hattaro"", ""count"": 1}, {""value"": ""Hasunuma"", ""count"": 1}, {""value"": ""Kawaragi"", ""count"": 1}, {""value"": ""Kitanuma"", ""count"": 1}, {""value"": ""Numadate"", ""count"": 1}, {""value"": ""Sunamori"", ""count"": 1}, {""value"": ""Tatehana"", ""count"": 1}, {""value"": ""Uenoyama"", ""count"": 1}, {""value"": ""Kami-Same"", ""count"": 1}, {""value"": ""Hikagezawa"", ""count"": 1}, {""value"": ""Shinminato"", ""count"": 1}, {""value"": ""Uheikawara"", ""count"": 1}, {""value"": ""Senzogakubo"", ""count"": 1}, {""value"": ""Hamana-Yachi"", ""count"": 1}, {""value"": ""Shimo-Oyachi"", ""count"": 1}, {""value"": ""Minami-Oyachi"", ""count"": 1}, {""value"": ""Toyama-Shinden"", ""count"": 1}, {""value"": ""Shimo-Matsunaeba"", ""count"": 1}, {""value"": ""Shimo-Mekurakubo"", ""count"": 1}]"
|
||||
12,BUIREL,POINT,41,CATREB,BYTE,5,3,"[20000, 50000]","[{""value"": ""6"", ""count"": 2}, {""value"": ""7"", ""count"": 2}, {""value"": ""4"", ""count"": 1}]"
|
||||
13,BUISGL,AREA,49,CATBUI,LIST,10,4,[20000],"[{""value"": ""[19]"", ""count"": 7}, {""value"": ""[13]"", ""count"": 1}, {""value"": ""[3,2]"", ""count"": 1}, {""value"": ""[10]"", ""count"": 1}]"
|
||||
13,BUISGL,AREA,78,INFORM,STRING,7,7,[20000],"[{""value"": ""Port Management Office"", ""count"": 1}, {""value"": ""Fisheries High School"", ""count"": 1}, {""value"": ""Fishery Hall"", ""count"": 1}, {""value"": ""Fisheries Laboratory"", ""count"": 1}, {""value"": ""Coast Guard Office|Marine Procedure Commission Agent Office"", ""count"": 1}, {""value"": ""Fishing Harbor Development Office"", ""count"": 1}, {""value"": ""Regional Development Bureau,Port And Airport Office"", ""count"": 1}]"
|
||||
13,BUISGL,AREA,80,OBJNAM,STRING,7,7,[20000],"[{""value"": ""Tohoku Electric Power Electric Substation"", ""count"": 1}, {""value"": ""No.1 Fish Market"", ""count"": 1}, {""value"": ""No.2 Fish Market"", ""count"": 1}, {""value"": ""No.3 Fish Market"", ""count"": 1}, {""value"": ""Maritime Office"", ""count"": 1}, {""value"": ""Construction Office"", ""count"": 1}, {""value"": ""Fisherman's Union"", ""count"": 1}]"
|
||||
13,BUISGL,POINT,104,BUISHP,BYTE,1,1,[200000],"[{""value"": ""4"", ""count"": 1}]"
|
||||
13,BUISGL,POINT,49,CATBUI,LIST,9,5,"[20000, 50000]","[{""value"": ""[6]"", ""count"": 5}, {""value"": ""[2]"", ""count"": 1}, {""value"": ""[3]"", ""count"": 1}, {""value"": ""[17]"", ""count"": 1}, {""value"": ""[5]"", ""count"": 1}]"
|
||||
13,BUISGL,POINT,65,CONVIS,BYTE,2,1,"[20000, 200000]","[{""value"": ""2"", ""count"": 2}]"
|
||||
13,BUISGL,POINT,78,INFORM,STRING,1,1,[20000],"[{""value"": ""Light support|Not in use"", ""count"": 1}]"
|
||||
13,BUISGL,POINT,80,OBJNAM,STRING,2,2,[20000],"[{""value"": ""Tohoku Electric Power Thermal Power Plants"", ""count"": 1}, {""value"": ""Japan Maritime Self Defense Force Air Base"", ""count"": 1}]"
|
||||
13,BUISGL,POINT,91,QUAPOS,BYTE,2,1,[20000],"[{""value"": ""4"", ""count"": 2}]"
|
||||
21,CBLOHD,LINE,6,CATCBL,BYTE,5,1,"[20000, 50000]","[{""value"": ""1"", ""count"": 5}]"
|
||||
21,CBLOHD,LINE,93,QUAVEM,BYTE,1,1,[50000],"[{""value"": ""1"", ""count"": 1}]"
|
||||
21,CBLOHD,LINE,117,VERCLR,REAL,1,1,[50000],"[{""value"": ""12"", ""count"": 1}]"
|
||||
22,CBLSUB,LINE,6,CATCBL,BYTE,2,1,"[20000, 50000]","[{""value"": ""1"", ""count"": 2}]"
|
||||
22,CBLSUB,LINE,109,STATUS,LIST,3,1,"[20000, 50000]","[{""value"": ""[4]"", ""count"": 3}]"
|
||||
33,CHIMNY,POINT,59,COLOUR,LIST,2,1,[50000],"[{""value"": ""[3,1]"", ""count"": 2}]"
|
||||
33,CHIMNY,POINT,65,CONVIS,BYTE,9,2,"[20000, 50000, 200000]","[{""value"": ""2"", ""count"": 8}, {""value"": ""1"", ""count"": 1}]"
|
||||
33,CHIMNY,POINT,73,HEIGHT,REAL,9,7,"[20000, 200000]","[{""value"": ""123"", ""count"": 2}, {""value"": ""30"", ""count"": 2}, {""value"": ""27"", ""count"": 1}, {""value"": ""81"", ""count"": 1}, {""value"": ""40"", ""count"": 1}, {""value"": ""71"", ""count"": 1}, {""value"": ""82"", ""count"": 1}]"
|
||||
33,CHIMNY,POINT,78,INFORM,STRING,1,1,[50000],"[{""value"": ""3 CHYS"", ""count"": 1}]"
|
||||
35,COALNE,LINE,147,CATCOA,BYTE,8,1,[20000],"[{""value"": ""1"", ""count"": 8}]"
|
||||
36,CONZNE,AREA,78,INFORM,STRING,2,1,"[200000, 1000000]","[{""value"": ""Jeppesen adopts \""International Boundaries and National Limits\"" as defined by international standards from sources, such as government provided official charts and other official documents. Due to the resolution of information provided, as well as the age of underlying surveys or publication dates, the reference datum used or its conversion, inaccuracies in the position or the form of these boundaries and limits may exist and as such may not be relied on as a primary source of information. Therefore Jeppesen cannot accept any liability regarding the use of this data for navigation."", ""count"": 2}]"
|
||||
36,CONZNE,AREA,81,NATION,STRING,2,1,"[200000, 1000000]","[{""value"": ""JP"", ""count"": 2}]"
|
||||
36,CONZNE,AREA,108,SORIND,STRING,1,1,[200000],"[{""value"": ""CM,PAD,graph,B3900420"", ""count"": 1}]"
|
||||
39,CRANES,POINT,10,CATCRN,BYTE,11,2,"[20000, 50000]","[{""value"": ""4"", ""count"": 9}, {""value"": ""2"", ""count"": 2}]"
|
||||
29,CTNARE,AREA,78,INFORM,STRING,16,12,"[20000, 50000, 200000, 1000000]","[{""value"": ""Caisson Temporary Storage Area"", ""count"": 3}, {""value"": ""The contents of the charts affected by earthquakes etc. occured offshore Pacific Ocean in Tohoku region in Japan.|By earthquakes and tsunami occured offshore Pacific Ocean in Tohoku region in Japan on 11th March 2011, damages of breakwaters, quays, etc. and existance of foul bottoms (i.e. houses and vehicles) on the seafloor which were pushed and flowed from land area in the east coast of Honshu and each ports and harbours. Users are aware that contents of the charts may be different from existing situations. Notices to Mariners about these matters will be issued as soon as survey results are received.Notices to Mariners address http://www1.kaiho.mlit.go.jp/TUHO/tuho_db/tuhoserch.html"", ""count"": 2}, {""value"": ""Unassessed. Surveys before the earthquake (11th Mar. 2011)"", ""count"": 2}, {""value"": ""Caution|Undiscovered shoals may exist around charted shoals. Mariners are advised to exercise caution.|Caution|Only the principal lights are shown on this chart. For the details of these and other lights, the larger scale charts and the List of Lights should be consulted.|Note|The straight baselines and the limits of the territorial sea shown on this chart are based on the provisions of Japanese Law No.30 of 1977 on the Territorial Sea and the Contiguous Zone and the Enforcement Order No.210 of 1977 of Japanese Law No.30 of 1977 on the Territorial Sea and the Contiguous Zone.|Note|Owing to scale, only major points of the straight baselines given in the Enforcement Order are shown.|Caution|As submarine cables are not shown on this chart, take care with regard to the fishing industry, submarine exploration etc. For submarine cable information, refer to JP charts with scales of larger than 1:750,000 or the JP chart with scale 1:3,500,000."", ""count"": 1}, {""value"": ""Jeppesen digital nautical charts do not reflect all soundings present on the official paper charts published by Japan Hydrographic and Oceanographic Department. This product is not an Electronic Navigational Chart. Mariners are required to use official paper charts for navigational judgements."", ""count"": 1}, {""value"": ""CAUTION|As undiscovered shoals may exist around charted shoals, mariners are warned to excercise cautions.|NOTE|The straight baselines and the limits of the territorial sea shown on this chart are based on the provisions of the Law No.30 of 1977 on the Territorial Sea and the Contiguous Zone and the Enforcement Order No.210 of 1977 of the Law No.30 of 1977 on the Territorial Sea and the Contiguous Zone.|NOTE|Of all the base points of the straight baselines given in the Enforcement Order, only major points are shown on this chart due to its small scale."", ""count"": 1}, {""value"": ""CABLES|1. Submarine and overhead cables may conduct high voltages; contact with or proximity to these poses an extreme danger and mariners may risk prosecution if damage is caused.|2. Anchoring or trawling in the vicinity of submarine cables should be avoided. Seabed mobility may leave a cable spanning undulations and cause fishing gear to become irrecoverably snagged, putting a vessel in severe danger. If a cable is snagged, care must be taken not to sever it.|3. Sufficient clearance must be allowed under overhead cables.|4. Some cables, particularly those installed since this edition was published, may not be charted.|5. For further information, see The Mariner's Handbook."", ""count"": 1}, {""value"": ""Dredged to 7.5m|Source date: 1994"", ""count"": 1}, {""value"": ""Caution|Undiscovered shoals may exist around charted shoals. Mariners are advised to exercise caution. |Caution|Depths are very changeable at the entrance to river mouths. Mariners are advised to exercise caution."", ""count"": 1}, {""value"": ""Section 3"", ""count"": 1}, {""value"": ""Section 2"", ""count"": 1}, {""value"": ""Section 1"", ""count"": 1}]"
|
||||
29,CTNARE,POINT,78,INFORM,STRING,13,12,"[20000, 50000]","[{""value"": ""Works in progress|Source date: 2005"", ""count"": 2}, {""value"": ""FOUL"", ""count"": 1}, {""value"": ""Marked by buoys"", ""count"": 1}, {""value"": ""(liable to shoal)"", ""count"": 1}, {""value"": ""WORKS IN PROGRESS (1998)"", ""count"": 1}, {""value"": ""Works in progress|Source date: 2000"", ""count"": 1}, {""value"": ""Works in progress|Source date: 2002"", ""count"": 1}, {""value"": ""Ebb stream|Orientation: 130 Deg|Current velocity: 0.2kn"", ""count"": 1}, {""value"": ""Flood stream|Orientation: 290 Deg|Current velocity: 0.3kn"", ""count"": 1}, {""value"": ""Slipway"", ""count"": 1}, {""value"": ""Ebb stream|Orientation: 133 Deg|Current velocity: 0.3kn"", ""count"": 1}, {""value"": ""Flood stream|Orientation: 299 Deg|Current velocity: 0.3kn"", ""count"": 1}]"
|
||||
38,CTRPNT,POINT,9,CATCTR,BYTE,6,2,"[20000, 50000]","[{""value"": ""1"", ""count"": 4}, {""value"": ""4"", ""count"": 2}]"
|
||||
38,CTRPNT,POINT,80,OBJNAM,STRING,1,1,[20000],"[{""value"": ""Monomiiwa"", ""count"": 1}]"
|
||||
44,DEPARE,AREA,66,DRVAL1,REAL,414,7,"[20000, 50000, 200000, 1000000, 3000000, 20000000]","[{""value"": ""2"", ""count"": 188}, {""value"": ""0"", ""count"": 117}, {""value"": ""5"", ""count"": 81}, {""value"": ""10"", ""count"": 18}, {""value"": ""20"", ""count"": 5}, {""value"": ""200"", ""count"": 4}, {""value"": ""30"", ""count"": 1}]"
|
||||
44,DEPARE,AREA,67,DRVAL2,REAL,411,8,"[20000, 50000, 200000, 1000000, 3000000, 20000000]","[{""value"": ""5"", ""count"": 203}, {""value"": ""2"", ""count"": 96}, {""value"": ""10"", ""count"": 84}, {""value"": ""20"", ""count"": 18}, {""value"": ""200"", ""count"": 4}, {""value"": ""50"", ""count"": 4}, {""value"": ""30"", ""count"": 1}, {""value"": ""2000"", ""count"": 1}]"
|
||||
45,DEPCNT,LINE,91,QUAPOS,BYTE,1,1,[50000],"[{""value"": ""4"", ""count"": 1}]"
|
||||
45,DEPCNT,LINE,113,VALDCO,REAL,451,6,"[20000, 50000, 200000, 1000000, 3000000, 20000000]","[{""value"": ""5"", ""count"": 230}, {""value"": ""2"", ""count"": 102}, {""value"": ""10"", ""count"": 100}, {""value"": ""20"", ""count"": 14}, {""value"": ""200"", ""count"": 4}, {""value"": ""30"", ""count"": 1}]"
|
||||
50,DRGARE,AREA,66,DRVAL1,REAL,13,6,[50000],"[{""value"": ""7.5"", ""count"": 5}, {""value"": ""13"", ""count"": 4}, {""value"": ""14"", ""count"": 1}, {""value"": ""12"", ""count"": 1}, {""value"": ""9.59999942779541"", ""count"": 1}, {""value"": ""10"", ""count"": 1}]"
|
||||
50,DRGARE,AREA,78,INFORM,STRING,11,7,[50000],"[{""value"": ""(1981-2000)"", ""count"": 4}, {""value"": ""Source date: 1990"", ""count"": 2}, {""value"": ""(1995-2000)"", ""count"": 1}, {""value"": ""Source date: 1991"", ""count"": 1}, {""value"": ""1980"", ""count"": 1}, {""value"": ""1994"", ""count"": 1}, {""value"": ""Source date: 1977"", ""count"": 1}]"
|
||||
56,EXEZNE,AREA,78,INFORM,STRING,2,1,"[200000, 1000000]","[{""value"": ""Jeppesen adopts \""International Boundaries and National Limits\"" as defined by international standards from sources, such as government provided official charts and other official documents. Due to the resolution of information provided, as well as the age of underlying surveys or publication dates, the reference datum used or its conversion, inaccuracies in the position or the form of these boundaries and limits may exist and as such may not be relied on as a primary source of information. Therefore Jeppesen cannot accept any liability regarding the use of this data for navigation."", ""count"": 2}]"
|
||||
56,EXEZNE,AREA,81,NATION,STRING,2,1,"[200000, 1000000]","[{""value"": ""JP"", ""count"": 2}]"
|
||||
56,EXEZNE,AREA,108,SORIND,STRING,1,1,[200000],"[{""value"": ""CM,PAD,graph,B3900420"", ""count"": 1}]"
|
||||
57,FAIRWY,AREA,80,OBJNAM,STRING,4,4,"[20000, 50000]","[{""value"": ""East Fairway"", ""count"": 1}, {""value"": ""West Fairway"", ""count"": 1}, {""value"": ""East Passage"", ""count"": 1}, {""value"": ""West Passage"", ""count"": 1}]"
|
||||
60,FSHHAV,POINT,78,INFORM,STRING,18,1,"[20000, 50000, 200000]","[{""value"": ""Always under water/submerged"", ""count"": 18}]"
|
||||
72,HRBARE,AREA,80,OBJNAM,STRING,3,3,[50000],"[{""value"": ""No 3 Area"", ""count"": 1}, {""value"": ""No 2 Area"", ""count"": 1}, {""value"": ""No1 Area"", ""count"": 1}]"
|
||||
73,HRBFAC,AREA,20,CATHAF,LIST,1,1,[20000],"[{""value"": ""[9]"", ""count"": 1}]"
|
||||
73,HRBFAC,POINT,80,OBJNAM,STRING,1,1,[20000],"[{""value"": ""Tohoku Grain Terminal"", ""count"": 1}]"
|
||||
78,ITDARE,AREA,82,NATSUR,LIST,38,4,"[20000, 50000]","[{""value"": ""[9]"", ""count"": 25}, {""value"": ""[56]"", ""count"": 5}, {""value"": ""[1]"", ""count"": 4}, {""value"": ""[4]"", ""count"": 4}]"
|
||||
79,LAKARE,AREA,80,OBJNAM,STRING,1,1,[200000],"[{""value"": ""Ane Lake"", ""count"": 1}]"
|
||||
86,LIGHTS,POINT,25,CATLIT,BYTE,9,4,"[20000, 50000, 200000, 1000000]","[{""value"": ""5"", ""count"": 5}, {""value"": ""8"", ""count"": 2}, {""value"": ""6"", ""count"": 1}, {""value"": ""11"", ""count"": 1}]"
|
||||
86,LIGHTS,POINT,59,COLOUR,LIST,93,6,"[20000, 50000, 200000, 1000000]","[{""value"": ""[6]"", ""count"": 28}, {""value"": ""[4]"", ""count"": 23}, {""value"": ""[3]"", ""count"": 23}, {""value"": ""[1]"", ""count"": 15}, {""value"": ""[1,1,4]"", ""count"": 2}, {""value"": ""[1,4]"", ""count"": 2}]"
|
||||
86,LIGHTS,POINT,73,HEIGHT,REAL,50,16,"[20000, 50000, 200000, 1000000]","[{""value"": ""12"", ""count"": 10}, {""value"": ""14"", ""count"": 6}, {""value"": ""57"", ""count"": 4}, {""value"": ""11"", ""count"": 4}, {""value"": ""5"", ""count"": 4}, {""value"": ""9"", ""count"": 3}, {""value"": ""17"", ""count"": 3}, {""value"": ""22"", ""count"": 3}, {""value"": ""69"", ""count"": 2}, {""value"": ""79"", ""count"": 2}, {""value"": ""7"", ""count"": 2}, {""value"": ""16"", ""count"": 2}, {""value"": ""4"", ""count"": 2}, {""value"": ""8"", ""count"": 1}, {""value"": ""31"", ""count"": 1}, {""value"": ""10"", ""count"": 1}]"
|
||||
86,LIGHTS,POINT,78,INFORM,STRING,10,5,"[20000, 50000, 200000, 1000000]","[{""value"": ""2 fl in 3s"", ""count"": 4}, {""value"": ""The white light can be apparent on 8M"", ""count"": 2}, {""value"": ""Illuminates Hinode Iwa 430m NNW"", ""count"": 2}, {""value"": ""FW spotlight illuminates Hinode Iwa."", ""count"": 1}, {""value"": ""More than one"", ""count"": 1}]"
|
||||
86,LIGHTS,POINT,58,LITCHR,BYTE,58,4,"[20000, 50000, 200000, 1000000]","[{""value"": ""2"", ""count"": 35}, {""value"": ""7"", ""count"": 13}, {""value"": ""1"", ""count"": 6}, {""value"": ""19"", ""count"": 4}]"
|
||||
86,LIGHTS,POINT,80,OBJNAM,STRING,7,6,[20000],"[{""value"": ""C1"", ""count"": 2}, {""value"": ""C2"", ""count"": 1}, {""value"": ""R1"", ""count"": 1}, {""value"": ""R2"", ""count"": 1}, {""value"": ""L1"", ""count"": 1}, {""value"": ""L2"", ""count"": 1}]"
|
||||
86,LIGHTS,POINT,93,QUAVEM,BYTE,12,1,[50000],"[{""value"": ""1"", ""count"": 12}]"
|
||||
86,LIGHTS,POINT,100,SECTR1,WORD10,6,2,[20000],"[{""value"": ""228"", ""count"": 3}, {""value"": ""48"", ""count"": 3}]"
|
||||
86,LIGHTS,POINT,101,SECTR2,WORD10,6,2,[20000],"[{""value"": ""48"", ""count"": 3}, {""value"": ""228"", ""count"": 3}]"
|
||||
86,LIGHTS,POINT,72,SIGGRP,STRING,52,2,"[20000, 50000, 200000, 1000000]","[{""value"": ""(1)"", ""count"": 38}, {""value"": ""(2)"", ""count"": 14}]"
|
||||
86,LIGHTS,POINT,86,SIGPER,WORD10,46,7,"[20000, 50000, 200000, 1000000]","[{""value"": ""3"", ""count"": 10}, {""value"": ""6"", ""count"": 10}, {""value"": ""4"", ""count"": 7}, {""value"": ""9"", ""count"": 6}, {""value"": ""5"", ""count"": 5}, {""value"": ""10"", ""count"": 4}, {""value"": ""8"", ""count"": 4}]"
|
||||
86,LIGHTS,POINT,108,SORIND,STRING,14,14,"[20000, 50000]","[{""value"": ""GB,MDHS,graph,LL F-6624.7.C"", ""count"": 1}, {""value"": ""GB,MDHS,graph,LL F-6624.7.D"", ""count"": 1}, {""value"": ""GB,MDHS,graph,LL F-6624.7.E"", ""count"": 1}, {""value"": ""GB,MDHS,graph,LL F-6624.7.F"", ""count"": 1}, {""value"": ""GB,MDHS,graph,LL F-6624.7.A"", ""count"": 1}, {""value"": ""GB,MDHS,graph,LL F-6624.7.B"", ""count"": 1}, {""value"": ""GB,MDHS,graph,LL F-6623.2.A"", ""count"": 1}, {""value"": ""GB,UKHO,graph,LL M-6624.62"", ""count"": 1}, {""value"": ""GB,UKHO,graph,LL M-6624.621"", ""count"": 1}, {""value"": ""GB,UKHO,graph,LL M-6624.64"", ""count"": 1}, {""value"": ""GB,UKHO,graph,LL M-6624.641"", ""count"": 1}, {""value"": ""GB,UKHO,graph,LL M-6624.63"", ""count"": 1}, {""value"": ""GB,UKHO,graph,LL M-6624.631"", ""count"": 1}, {""value"": ""GB,UKHO,graph,LL M-6624.5"", ""count"": 1}]"
|
||||
86,LIGHTS,POINT,109,STATUS,LIST,26,1,"[20000, 50000]","[{""value"": ""[8]"", ""count"": 26}]"
|
||||
86,LIGHTS,POINT,115,VALNMR,WORD10,45,7,"[20000, 50000, 200000, 1000000]","[{""value"": ""4"", ""count"": 16}, {""value"": ""6"", ""count"": 7}, {""value"": ""3"", ""count"": 7}, {""value"": ""5"", ""count"": 7}, {""value"": ""19"", ""count"": 4}, {""value"": ""7"", ""count"": 3}, {""value"": ""2"", ""count"": 1}]"
|
||||
81,LNDARE,AREA,80,OBJNAM,STRING,3,3,"[20000, 1000000]","[{""value"": ""Honshu"", ""count"": 1}, {""value"": ""Todo Shima"", ""count"": 1}, {""value"": ""Hinode Iwa"", ""count"": 1}]"
|
||||
95,MONUMT,POINT,65,CONVIS,BYTE,2,1,[20000],"[{""value"": ""2"", ""count"": 2}]"
|
||||
96,MORFAC,AREA,29,CATMOR,BYTE,2,1,[20000],"[{""value"": ""1"", ""count"": 2}]"
|
||||
96,MORFAC,AREA,78,INFORM,STRING,2,1,[20000],"[{""value"": ""Always dry"", ""count"": 2}]"
|
||||
96,MORFAC,POINT,29,CATMOR,BYTE,7,1,[50000],"[{""value"": ""1"", ""count"": 7}]"
|
||||
96,MORFAC,POINT,78,INFORM,STRING,1,1,[50000],"[{""value"": ""Always dry"", ""count"": 1}]"
|
||||
210,M_PROD,AREA,150,CPDATE,STRING,7,5,"[20000, 50000, 100000, 200000, 1000000, 3000000, 20000000]","[{""value"": ""20080102"", ""count"": 2}, {""value"": ""20060322"", ""count"": 2}, {""value"": ""20141006"", ""count"": 1}, {""value"": ""20140602"", ""count"": 1}, {""value"": ""20140505"", ""count"": 1}]"
|
||||
97,NATARE,AREA,78,INFORM,STRING,3,1,"[20000, 200000, 1000000]","[{""value"": ""Jeppesen adopts \""International Boundaries and National Limits\"" as defined by international standards from sources, such as government provided official charts and other official documents. Due to the resolution of information provided, as well as the age of underlying surveys or publication dates, the reference datum used or its conversion, inaccuracies in the position or the form of these boundaries and limits may exist and as such may not be relied on as a primary source of information. Therefore Jeppesen cannot accept any liability regarding the use of this data for navigation."", ""count"": 3}]"
|
||||
97,NATARE,AREA,81,NATION,STRING,3,1,"[20000, 200000, 1000000]","[{""value"": ""JP"", ""count"": 3}]"
|
||||
99,OBSTRN,AREA,78,INFORM,STRING,3,2,[50000],"[{""value"": ""Crib|Caissons"", ""count"": 2}, {""value"": ""Crib|Caisson Area"", ""count"": 1}]"
|
||||
99,OBSTRN,AREA,116,VALSOU,WORD10,3,3,[50000],"[{""value"": ""4.9"", ""count"": 1}, {""value"": ""1.2"", ""count"": 1}, {""value"": ""1.5"", ""count"": 1}]"
|
||||
99,OBSTRN,AREA,124,WATLEV,BYTE,70,1,"[20000, 50000, 200000, 1000000]","[{""value"": ""3"", ""count"": 70}]"
|
||||
99,OBSTRN,POINT,69,EXPSOU,BYTE,1,1,[20000],"[{""value"": ""2"", ""count"": 1}]"
|
||||
99,OBSTRN,POINT,78,INFORM,STRING,2,1,"[20000, 200000]","[{""value"": ""Wave Meter"", ""count"": 2}]"
|
||||
99,OBSTRN,POINT,116,VALSOU,WORD10,6,4,"[20000, 50000, 200000]","[{""value"": ""25"", ""count"": 2}, {""value"": ""1.5"", ""count"": 2}, {""value"": ""1.2"", ""count"": 1}, {""value"": ""4.9"", ""count"": 1}]"
|
||||
99,OBSTRN,POINT,124,WATLEV,BYTE,6,1,"[20000, 50000, 200000]","[{""value"": ""3"", ""count"": 6}]"
|
||||
103,PILPNT,POINT,78,INFORM,STRING,9,2,"[20000, 50000]","[{""value"": ""Always dry"", ""count"": 8}, {""value"": ""Private"", ""count"": 1}]"
|
||||
107,PIPSOL,LINE,35,CATPIP,BYTE,2,1,"[20000, 50000]","[{""value"": ""1"", ""count"": 2}]"
|
||||
107,PIPSOL,LINE,78,INFORM,STRING,1,1,[50000],"[{""value"": ""PIPELINES|Mariners are advised not to anchor or trawl in the vicinity of pipelines. Gas from a damaged oil or gas pipeline could cause an explosion, loss of a vessels buoyancy or other serious hazard. Pipelines are not always buried and may effectively reduce the charted depth by up to 2 metres. They may also span seabed undulations and cause fishing gear to become irrecoverably snagged, putting a vessel in severe danger. See Annual Notice to Mariners No 24 and The Mariners Handbook."", ""count"": 1}]"
|
||||
107,PIPSOL,LINE,89,PRODCT,LIST,2,2,"[20000, 50000]","[{""value"": ""[1]"", ""count"": 1}, {""value"": ""[2]"", ""count"": 1}]"
|
||||
111,PRDINS,AREA,78,INFORM,STRING,15,4,[20000],"[{""value"": ""Tank farm"", ""count"": 9}, {""value"": ""Production area"", ""count"": 3}, {""value"": ""Production area|Silo farm"", ""count"": 2}, {""value"": ""Tank farm|Oil Tank Yard"", ""count"": 1}]"
|
||||
111,PRDINS,AREA,80,OBJNAM,STRING,3,3,[20000],"[{""value"": ""Mitsubishi Paper Mills Limited"", ""count"": 1}, {""value"": ""Tokyotekko Co., Ltd."", ""count"": 1}, {""value"": ""Yoshida Sangyo Corporation"", ""count"": 1}]"
|
||||
111,PRDINS,AREA,89,PRODCT,LIST,1,1,[20000],"[{""value"": ""[1]"", ""count"": 1}]"
|
||||
111,PRDINS,POINT,78,INFORM,STRING,12,1,[20000],"[{""value"": ""Production area"", ""count"": 12}]"
|
||||
111,PRDINS,POINT,80,OBJNAM,STRING,12,11,[20000],"[{""value"": ""Pacific Metals CO., LTD."", ""count"": 2}, {""value"": ""Tozai Oilterminal Co.,Ltd."", ""count"": 1}, {""value"": ""Tohoku Satetsu"", ""count"": 1}, {""value"": ""MRC Unitec Co., Ltd."", ""count"": 1}, {""value"": ""Toshin Steel Industry"", ""count"": 1}, {""value"": ""Hachinohe Gas Co., Ltd."", ""count"": 1}, {""value"": ""Koshuha Foundry Co., Ltd."", ""count"": 1}, {""value"": ""Sumimetal Mining Co., Ltd."", ""count"": 1}, {""value"": ""Hachinohe Smelting Co., Ltd."", ""count"": 1}, {""value"": ""Kitanihon Shipbuilding Co., Ltd."", ""count"": 1}, {""value"": ""JX Nippon Oil & Energy Corporation"", ""count"": 1}]"
|
||||
111,PRDINS,POINT,89,PRODCT,LIST,2,2,[20000],"[{""value"": ""[1]"", ""count"": 1}, {""value"": ""[2]"", ""count"": 1}]"
|
||||
111,PRDINS,POINT,91,QUAPOS,BYTE,11,1,[20000],"[{""value"": ""4"", ""count"": 11}]"
|
||||
112,PYLONS,POINT,78,INFORM,STRING,2,1,[50000],"[{""value"": ""Power transmission pylon/pole"", ""count"": 2}]"
|
||||
129,RIVERS,AREA,80,OBJNAM,STRING,3,3,"[20000, 200000]","[{""value"": ""Mabechi River"", ""count"": 1}, {""value"": ""Oirase River"", ""count"": 1}, {""value"": ""Gonohe Kawa"", ""count"": 1}]"
|
||||
118,RTPBCN,POINT,38,CATRTB,BYTE,1,1,[50000],"[{""value"": ""1"", ""count"": 1}]"
|
||||
118,RTPBCN,POINT,108,SORIND,STRING,1,1,[50000],"[{""value"": ""GB,MDHS,graph,LL F-6620.A"", ""count"": 1}]"
|
||||
138,SBDARE,AREA,82,NATSUR,LIST,9,3,"[20000, 50000, 200000]","[{""value"": ""[9]"", ""count"": 5}, {""value"": ""[4]"", ""count"": 3}, {""value"": ""[5]"", ""count"": 1}]"
|
||||
138,SBDARE,POINT,90,NATQUA,LIST,145,2,"[20000, 50000, 200000]","[{""value"": ""[1]"", ""count"": 144}, {""value"": ""[3]"", ""count"": 1}]"
|
||||
138,SBDARE,POINT,82,NATSUR,LIST,287,11,"[20000, 50000, 200000]","[{""value"": ""[4]"", ""count"": 176}, {""value"": ""[1]"", ""count"": 54}, {""value"": ""[9]"", ""count"": 15}, {""value"": ""[5]"", ""count"": 14}, {""value"": ""[4,17]"", ""count"": 9}, {""value"": ""[1,4]"", ""count"": 8}, {""value"": ""[4,1]"", ""count"": 7}, {""value"": ""[6,17,61]"", ""count"": 1}, {""value"": ""[1,4,17]"", ""count"": 1}, {""value"": ""[1,6]"", ""count"": 1}, {""value"": ""[1,4,5]"", ""count"": 1}]"
|
||||
136,SEAARE,AREA,80,OBJNAM,STRING,2,2,[200000],"[{""value"": ""North Pacific Ocean"", ""count"": 1}, {""value"": ""Hamanaka"", ""count"": 1}]"
|
||||
142,SILBUI,POINT,78,INFORM,STRING,3,3,[50000],"[{""value"": ""More than one"", ""count"": 1}, {""value"": ""more than one"", ""count"": 1}, {""value"": ""SILOS"", ""count"": 1}]"
|
||||
142,SILBUI,POINT,91,QUAPOS,BYTE,2,1,[50000],"[{""value"": ""4"", ""count"": 2}]"
|
||||
140,SISTAT,POINT,47,CATSIT,LIST,2,1,[20000],"[{""value"": ""[2]"", ""count"": 2}]"
|
||||
141,SISTAW,POINT,48,CATSIW,LIST,1,1,[20000],"[{""value"": ""[10]"", ""count"": 1}]"
|
||||
139,SLCONS,AREA,46,CATSLC,BYTE,48,3,"[20000, 50000]","[{""value"": ""1"", ""count"": 34}, {""value"": ""6"", ""count"": 10}, {""value"": ""4"", ""count"": 4}]"
|
||||
139,SLCONS,AREA,63,CONDTN,BYTE,9,2,"[20000, 50000]","[{""value"": ""2"", ""count"": 8}, {""value"": ""3"", ""count"": 1}]"
|
||||
139,SLCONS,AREA,78,INFORM,STRING,1,1,[50000],"[{""value"": ""Source date: 2005"", ""count"": 1}]"
|
||||
139,SLCONS,AREA,83,NATCON,LIST,78,1,"[20000, 50000]","[{""value"": ""[3]"", ""count"": 78}]"
|
||||
139,SLCONS,AREA,80,OBJNAM,STRING,29,25,"[20000, 50000]","[{""value"": ""Hattaro North Breakwater"", ""count"": 3}, {""value"": ""Middle Breakwater"", ""count"": 2}, {""value"": ""Hattaro East Breakwater"", ""count"": 2}, {""value"": ""West Breakwater"", ""count"": 1}, {""value"": ""Grain Terminal"", ""count"": 1}, {""value"": ""No 4 Wharf"", ""count"": 1}, {""value"": ""No 3 Wharf"", ""count"": 1}, {""value"": ""No 1 Wharf"", ""count"": 1}, {""value"": ""No 2 Wharf"", ""count"": 1}, {""value"": ""Kawaragi No 2 Wharf"", ""count"": 1}, {""value"": ""No 2 Middle Breakwater"", ""count"": 1}, {""value"": ""Shirogane West Breakwater"", ""count"": 1}, {""value"": ""Japan Maritime Self Defense Force Quay"", ""count"": 1}, {""value"": ""Ichikawa East Breakwater"", ""count"": 1}, {""value"": ""Shirogane North Breakwater"", ""count"": 1}, {""value"": ""Grain Terminal Pier"", ""count"": 1}, {""value"": ""Ichikawa North Breakwater"", ""count"": 1}, {""value"": ""Ferry Wharf"", ""count"": 1}, {""value"": ""Mitsubishi Paper Mills Limited Quay"", ""count"": 1}, {""value"": ""Kabu Island Breakwater"", ""count"": 1}, {""value"": ""Shirogane Wharf"", ""count"": 1}, {""value"": ""Kawaragi South Breakwater"", ""count"": 1}, {""value"": ""Kawaragi West Breakwater"", ""count"": 1}, {""value"": ""Hachinohe Smelting Quay"", ""count"": 1}, {""value"": ""Kawaragi Breakwater"", ""count"": 1}]"
|
||||
139,SLCONS,AREA,124,WATLEV,BYTE,110,3,"[20000, 50000]","[{""value"": ""2"", ""count"": 100}, {""value"": ""4"", ""count"": 9}, {""value"": ""3"", ""count"": 1}]"
|
||||
139,SLCONS,LINE,46,CATSLC,BYTE,3,1,[50000],"[{""value"": ""6"", ""count"": 3}]"
|
||||
139,SLCONS,LINE,63,CONDTN,BYTE,5,1,"[20000, 200000]","[{""value"": ""2"", ""count"": 5}]"
|
||||
139,SLCONS,LINE,78,INFORM,STRING,2,1,[50000],"[{""value"": ""Land Area"", ""count"": 2}]"
|
||||
139,SLCONS,LINE,80,OBJNAM,STRING,3,3,[50000],"[{""value"": ""No 3"", ""count"": 1}, {""value"": ""Kawaragi No 1"", ""count"": 1}, {""value"": ""Kawaragi No 2"", ""count"": 1}]"
|
||||
139,SLCONS,LINE,124,WATLEV,BYTE,204,1,"[20000, 50000, 200000, 1000000]","[{""value"": ""2"", ""count"": 204}]"
|
||||
143,SLIPWY,AREA,80,OBJNAM,STRING,1,1,[20000],"[{""value"": ""Ichikawa Slipway"", ""count"": 1}]"
|
||||
143,SLIPWY,AREA,124,WATLEV,BYTE,3,2,"[20000, 50000]","[{""value"": ""4"", ""count"": 2}, {""value"": ""2"", ""count"": 1}]"
|
||||
155,TESARE,AREA,78,INFORM,STRING,3,1,"[20000, 200000, 1000000]","[{""value"": ""Jeppesen adopts \""International Boundaries and National Limits\"" as defined by international standards from sources, such as government provided official charts and other official documents. Due to the resolution of information provided, as well as the age of underlying surveys or publication dates, the reference datum used or its conversion, inaccuracies in the position or the form of these boundaries and limits may exist and as such may not be relied on as a primary source of information. Therefore Jeppesen cannot accept any liability regarding the use of this data for navigation."", ""count"": 3}]"
|
||||
155,TESARE,AREA,81,NATION,STRING,3,1,"[20000, 200000, 1000000]","[{""value"": ""JP"", ""count"": 3}]"
|
||||
158,TOWERS,POINT,52,CATTOW,BYTE,51,3,"[20000, 50000, 200000, 1000000]","[{""value"": ""1"", ""count"": 22}, {""value"": ""3"", ""count"": 19}, {""value"": ""2"", ""count"": 10}]"
|
||||
158,TOWERS,POINT,59,COLOUR,LIST,22,1,"[20000, 50000, 200000, 1000000]","[{""value"": ""[1]"", ""count"": 22}]"
|
||||
158,TOWERS,POINT,65,CONVIS,BYTE,27,2,"[20000, 50000, 200000, 1000000]","[{""value"": ""1"", ""count"": 23}, {""value"": ""2"", ""count"": 4}]"
|
||||
158,TOWERS,POINT,73,HEIGHT,REAL,2,2,[20000],"[{""value"": ""51"", ""count"": 1}, {""value"": ""53"", ""count"": 1}]"
|
||||
158,TOWERS,POINT,78,INFORM,STRING,7,3,"[20000, 50000]","[{""value"": ""Radio"", ""count"": 4}, {""value"": ""Ice Supply Tower"", ""count"": 2}, {""value"": ""Framework tower"", ""count"": 1}]"
|
||||
158,TOWERS,POINT,83,NATCON,LIST,12,1,"[20000, 50000, 200000, 1000000]","[{""value"": ""[2]"", ""count"": 12}]"
|
||||
158,TOWERS,POINT,91,QUAPOS,BYTE,6,1,"[20000, 50000]","[{""value"": ""4"", ""count"": 6}]"
|
||||
158,TOWERS,POINT,108,SORIND,STRING,22,17,"[20000, 50000, 200000, 1000000]","[{""value"": ""GB,UKHO,graph,LL M-6620"", ""count"": 3}, {""value"": ""GB,UKHO,graph,LL M-6621"", ""count"": 2}, {""value"": ""GB,UKHO,graph,LL M-6625.5"", ""count"": 2}, {""value"": ""GB,UKHO,graph,LL M-6624.86"", ""count"": 2}, {""value"": ""GB,UKHO,graph,LL M-6619.5"", ""count"": 1}, {""value"": ""GB,UKHO,graph,LL M-6618.4"", ""count"": 1}, {""value"": ""GB,UKHO,graph,LL M-6625.7"", ""count"": 1}, {""value"": ""GB,UKHO,graph,LL M-6624.85"", ""count"": 1}, {""value"": ""GB,MDHS,graph,LL F-6623.2"", ""count"": 1}, {""value"": ""GB,MDHS,graph,LL F-6621"", ""count"": 1}, {""value"": ""GB,MDHS,graph,LL F-6622"", ""count"": 1}, {""value"": ""GB,MDHS,graph,LL F-6625.5"", ""count"": 1}, {""value"": ""GB,MDHS,graph,LL F-6620"", ""count"": 1}, {""value"": ""GB,MDHS,graph,LL F-6624.4"", ""count"": 1}, {""value"": ""GB,MDHS,graph,LL F-6624.85"", ""count"": 1}, {""value"": ""GB,UKHO,graph,LL M-6622"", ""count"": 1}, {""value"": ""GB,UKHO,graph,LL M-6624.4"", ""count"": 1}]"
|
||||
158,TOWERS,POINT,122,VERLEN,REAL,22,7,"[20000, 50000, 200000, 1000000]","[{""value"": ""9"", ""count"": 7}, {""value"": ""23"", ""count"": 4}, {""value"": ""10"", ""count"": 4}, {""value"": ""5"", ""count"": 3}, {""value"": ""16"", ""count"": 2}, {""value"": ""6"", ""count"": 1}, {""value"": ""8"", ""count"": 1}]"
|
||||
168,UWTROC,POINT,69,EXPSOU,BYTE,3,1,[50000],"[{""value"": ""2"", ""count"": 3}]"
|
||||
168,UWTROC,POINT,116,VALSOU,WORD10,104,69,"[20000, 50000, 200000]","[{""value"": ""15"", ""count"": 5}, {""value"": ""9.9"", ""count"": 4}, {""value"": ""2.6"", ""count"": 4}, {""value"": ""4.4"", ""count"": 4}, {""value"": ""2"", ""count"": 4}, {""value"": ""17"", ""count"": 3}, {""value"": ""18"", ""count"": 3}, {""value"": ""19"", ""count"": 3}, {""value"": ""21"", ""count"": 3}, {""value"": ""0.3"", ""count"": 2}, {""value"": ""1.7"", ""count"": 2}, {""value"": ""2.2"", ""count"": 2}, {""value"": ""4.1"", ""count"": 2}, {""value"": ""0.7"", ""count"": 2}, {""value"": ""2.3"", ""count"": 2}, {""value"": ""7.7"", ""count"": 2}, {""value"": ""7.8"", ""count"": 2}, {""value"": ""8.8"", ""count"": 2}, {""value"": ""16"", ""count"": 2}, {""value"": ""20"", ""count"": 2}, {""value"": ""0.5"", ""count"": 1}, {""value"": ""0.8"", ""count"": 1}, {""value"": ""1.4"", ""count"": 1}, {""value"": ""1.6"", ""count"": 1}, {""value"": ""2.5"", ""count"": 1}, {""value"": ""2.7"", ""count"": 1}, {""value"": ""3.1"", ""count"": 1}, {""value"": ""4"", ""count"": 1}, {""value"": ""4.7"", ""count"": 1}, {""value"": ""4.8"", ""count"": 1}, {""value"": ""5.7"", ""count"": 1}, {""value"": ""5.9"", ""count"": 1}, {""value"": ""6.2"", ""count"": 1}, {""value"": ""6.3"", ""count"": 1}, {""value"": ""6.5"", ""count"": 1}, {""value"": ""6.8"", ""count"": 1}, {""value"": ""6.9"", ""count"": 1}, {""value"": ""7"", ""count"": 1}, {""value"": ""7.3"", ""count"": 1}, {""value"": ""7.4"", ""count"": 1}]"
|
||||
168,UWTROC,POINT,124,WATLEV,BYTE,176,3,"[20000, 50000, 200000, 1000000]","[{""value"": ""3"", ""count"": 110}, {""value"": ""2"", ""count"": 56}, {""value"": ""4"", ""count"": 10}]"
|
||||
176,WRECKS,AREA,57,CATWRK,BYTE,1,1,[20000],"[{""value"": ""2"", ""count"": 1}]"
|
||||
176,WRECKS,AREA,116,VALSOU,WORD10,1,1,[20000],"[{""value"": ""7"", ""count"": 1}]"
|
||||
176,WRECKS,AREA,124,WATLEV,BYTE,1,1,[20000],"[{""value"": ""3"", ""count"": 1}]"
|
||||
176,WRECKS,POINT,57,CATWRK,BYTE,479,2,"[20000, 50000, 200000]","[{""value"": ""3"", ""count"": 477}, {""value"": ""2"", ""count"": 2}]"
|
||||
176,WRECKS,POINT,116,VALSOU,WORD10,188,103,"[20000, 50000, 200000]","[{""value"": ""11.2"", ""count"": 7}, {""value"": ""12.2"", ""count"": 5}, {""value"": ""12.6"", ""count"": 5}, {""value"": ""9.6"", ""count"": 4}, {""value"": ""10.2"", ""count"": 4}, {""value"": ""11.1"", ""count"": 4}, {""value"": ""12"", ""count"": 4}, {""value"": ""12.5"", ""count"": 4}, {""value"": ""6.3"", ""count"": 3}, {""value"": ""7"", ""count"": 3}, {""value"": ""7.3"", ""count"": 3}, {""value"": ""8.3"", ""count"": 3}, {""value"": ""9"", ""count"": 3}, {""value"": ""9.5"", ""count"": 3}, {""value"": ""11.4"", ""count"": 3}, {""value"": ""11.9"", ""count"": 3}, {""value"": ""12.3"", ""count"": 3}, {""value"": ""12.7"", ""count"": 3}, {""value"": ""13"", ""count"": 3}, {""value"": ""13.1"", ""count"": 3}, {""value"": ""13.4"", ""count"": 3}, {""value"": ""23.5"", ""count"": 2}, {""value"": ""21.5"", ""count"": 2}, {""value"": ""3"", ""count"": 2}, {""value"": ""3.7"", ""count"": 2}, {""value"": ""4.3"", ""count"": 2}, {""value"": ""5"", ""count"": 2}, {""value"": ""5.1"", ""count"": 2}, {""value"": ""5.7"", ""count"": 2}, {""value"": ""6"", ""count"": 2}, {""value"": ""6.2"", ""count"": 2}, {""value"": ""6.9"", ""count"": 2}, {""value"": ""7.8"", ""count"": 2}, {""value"": ""8.1"", ""count"": 2}, {""value"": ""8.5"", ""count"": 2}, {""value"": ""8.7"", ""count"": 2}, {""value"": ""9.1"", ""count"": 2}, {""value"": ""9.4"", ""count"": 2}, {""value"": ""9.9"", ""count"": 2}, {""value"": ""10.3"", ""count"": 2}]"
|
||||
176,WRECKS,POINT,124,WATLEV,BYTE,480,1,"[20000, 50000, 200000]","[{""value"": ""3"", ""count"": 480}]"
|
||||
201,_extgn,POINT,60,COLMAR,BYTE,1,1,[50000],"[{""value"": ""11"", ""count"": 1}]"
|
||||
201,_extgn,POINT,78,INFORM,STRING,1,1,[50000],"[{""value"": ""Height: 123m|Chimney|Visually conspicuous"", ""count"": 1}]"
|
||||
217,_m_sor,META,151,CSCALE,LONG,6,6,"[20000, 50000, 200000, 1000000, 3000000, 20000000]","[{""value"": ""3000000"", ""count"": 1}, {""value"": ""1200000"", ""count"": 1}, {""value"": ""250000"", ""count"": 1}, {""value"": ""20000"", ""count"": 1}, {""value"": ""12000"", ""count"": 1}, {""value"": ""20000000"", ""count"": 1}]"
|
||||
217,_m_sor,META,75,HORDAT,BYTE,6,1,"[20000, 50000, 200000, 1000000, 3000000, 20000000]","[{""value"": ""2"", ""count"": 6}]"
|
||||
217,_m_sor,META,84,MARSYS,BYTE,6,2,"[20000, 50000, 200000, 1000000, 3000000, 20000000]","[{""value"": ""2"", ""count"": 4}, {""value"": ""1"", ""count"": 2}]"
|
||||
217,_m_sor,META,156,NMDATE,STRING,6,5,"[20000, 50000, 200000, 1000000, 3000000, 20000000]","[{""value"": ""20021101"", ""count"": 2}, {""value"": ""20140926"", ""count"": 1}, {""value"": ""20140523"", ""count"": 1}, {""value"": ""20060323"", ""count"": 1}, {""value"": ""20140328"", ""count"": 1}]"
|
||||
217,_m_sor,META,96,RECDAT,STRING,6,5,"[20000, 50000, 200000, 1000000, 3000000, 20000000]","[{""value"": ""20080102"", ""count"": 2}, {""value"": ""20141006"", ""count"": 1}, {""value"": ""20140602"", ""count"": 1}, {""value"": ""20060322"", ""count"": 1}, {""value"": ""20140505"", ""count"": 1}]"
|
||||
217,_m_sor,META,108,SORIND,STRING,6,6,"[20000, 50000, 200000, 1000000, 3000000, 20000000]","[{""value"": ""IT,CMAP,graph,W-135"", ""count"": 1}, {""value"": ""JP,JHOD,graph,W1154"", ""count"": 1}, {""value"": ""JP,JHOD,graph,W53"", ""count"": 1}, {""value"": ""GB,MDHS,graph,2959B"", ""count"": 1}, {""value"": ""JP,JHOD,graph,W65"", ""count"": 1}, {""value"": ""IT,CMAP,graph,W-14"", ""count"": 1}]"
|
||||
217,_m_sor,META,121,VERDAT,BYTE,4,2,"[20000, 50000, 200000, 1000000]","[{""value"": ""11"", ""count"": 3}, {""value"": ""10"", ""count"": 1}]"
|
||||
217,_m_sor,META,173,_chcod,STRING,6,6,"[20000, 50000, 200000, 1000000, 3000000, 20000000]","[{""value"": ""90-01520"", ""count"": 1}, {""value"": ""31-0F270"", ""count"": 1}, {""value"": ""31-0F710"", ""count"": 1}, {""value"": ""31-0684B"", ""count"": 1}, {""value"": ""31-0F700"", ""count"": 1}, {""value"": ""90-00310"", ""count"": 1}]"
|
||||
217,_m_sor,META,174,_dgdat,STRING,6,5,"[20000, 50000, 200000, 1000000, 3000000, 20000000]","[{""value"": ""20000101"", ""count"": 2}, {""value"": ""20081003"", ""count"": 1}, {""value"": ""20070914"", ""count"": 1}, {""value"": ""20030320"", ""count"": 1}, {""value"": ""20120313"", ""count"": 1}]"
|
||||
217,_m_sor,META,180,_hvdat,BYTE,4,2,"[20000, 50000, 200000, 1000000]","[{""value"": ""3"", ""count"": 3}, {""value"": ""21"", ""count"": 1}]"
|
||||
217,_m_sor,META,175,_quart,BYTE,6,1,"[20000, 50000, 200000, 1000000, 3000000, 20000000]","[{""value"": ""4"", ""count"": 6}]"
|
||||
217,_m_sor,META,177,_sorhd,BYTE,6,1,"[20000, 50000, 200000, 1000000, 3000000, 20000000]","[{""value"": ""2"", ""count"": 6}]"
|
||||
217,_m_sor,META,178,_wgsox,REAL,6,1,"[20000, 50000, 200000, 1000000, 3000000, 20000000]","[{""value"": ""0"", ""count"": 6}]"
|
||||
217,_m_sor,META,179,_wgsoy,REAL,6,1,"[20000, 50000, 200000, 1000000, 3000000, 20000000]","[{""value"": ""0"", ""count"": 6}]"
|
||||
198,_texto,POINT,139,_texta,COMPLEX,113,104,"[20000, 50000, 200000, 1000000, 3000000]","[{""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""Same Kado\""}"", ""count"": 3}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""Hachinohe\""}"", ""count"": 3}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""Hachinohe Fishing Harbour\""}"", ""count"": 3}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""Misawa\""}"", ""count"": 2}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""Hamanaka\""}"", ""count"": 2}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""Hashimukai\""}"", ""count"": 2}, {""value"": ""{\""prefix\"":[128,12,0],\""text\"":\""HACHINOHE\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""AOMORI\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""Hachinohe Ko\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""Kabayama Reef\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""Hitokawame\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""Mikawame\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""Minato\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""Oirase Town\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""Okuki\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""Same\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""Shirahama\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""CONVEYOR\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""H A C H I T A R O\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""HACHINOHE\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[16,12,0],\""text\"":\""HACHINOHE\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""HINODE IWA(ILLUM)\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""HOUSE\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""K A W A R A G I\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""KABAYAMA NE\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""KABU SH.\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""KO NE\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""MABECHI KAWA\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""MITSUBUSHI JETTY\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""MONOMIWA\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""N. BREAKWATER\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""NIIDA KAWA\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""No 1 WHARF\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""No 2 WHARF\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""No 4 WHARF\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""O SAKI\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""OGOMUNE\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""SAME KADO\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""SHIROGANE WHARF\""}"", ""count"": 1}, {""value"": ""{\""prefix\"":[0,12,0],\""text\"":\""SILOS\""}"", ""count"": 1}]"
|
||||
|
@@ -0,0 +1,23 @@
|
||||
CM95 选定 AOI → NavSea PBF 映射输入审计 v2
|
||||
====================================================================================
|
||||
Dataset ID : 1
|
||||
Tile : z10/914/385
|
||||
BBox WGS84 : 141.3281250000,40.4469470596 → 141.6796875000,40.7139558263
|
||||
|
||||
AOI cells : 7
|
||||
AOI spatial features : 3605
|
||||
Object class/geom groups : 80
|
||||
Attribute groups : 177
|
||||
Feature samples : 600
|
||||
Related samples : 0
|
||||
|
||||
Geometry counts:
|
||||
POINT 1632
|
||||
LINE 970
|
||||
AREA 993
|
||||
SOUNDING 4
|
||||
META 6
|
||||
|
||||
NEXT:
|
||||
上传本脚本生成的 ZIP。
|
||||
下一步直接生成 cm95_to_navsea_v1.yaml 初版并标注 UNMAPPED / hard_gate 缺口。
|
||||
1502
config/mappings/cm95_gap_disposition_japan_dataset_1_v1.yaml
Normal file
1502
config/mappings/cm95_gap_disposition_japan_dataset_1_v1.yaml
Normal file
File diff suppressed because it is too large
Load Diff
1284
config/mappings/cm95_gap_disposition_v1.yaml
Normal file
1284
config/mappings/cm95_gap_disposition_v1.yaml
Normal file
File diff suppressed because it is too large
Load Diff
1522
config/mappings/cm95_to_navsea_v1.yaml
Normal file
1522
config/mappings/cm95_to_navsea_v1.yaml
Normal file
File diff suppressed because it is too large
Load Diff
18
config/pbf/cm95_production_v1.yaml
Normal file
18
config/pbf/cm95_production_v1.yaml
Normal file
@@ -0,0 +1,18 @@
|
||||
schema: navsea.cm95.production-policy/v1
|
||||
version: v1.4.2-materialization-split
|
||||
status: PRODUCTION_CANDIDATE
|
||||
zooms: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
|
||||
profile: delivery
|
||||
workers: 4
|
||||
max_attempts: 3
|
||||
release_root: build/releases
|
||||
plan_path: build/production/cm95_production_plan_v1.json
|
||||
rules:
|
||||
- 生产目标固定为 z0-z12。
|
||||
- 高 zoom tile 的物理枚举只由 enumeration_scales 决定。
|
||||
- scale_ladders 的粗比例尺只允许在已枚举 tile 内回退，不得扩张生产 footprint。
|
||||
- mapping、tile policy、Dataset fingerprint、FID manifest 在计划创建后必须保持不变。
|
||||
- PASS tile 自动断点续跑；RUNNING 状态在下次启动时恢复为 PENDING。
|
||||
- FAILED tile 最多尝试 max_attempts 次；失败不会被静默跳过。
|
||||
- 空 tile 可为 PASS 且不生成 PBF 文件；release manifest 只列真实产物。
|
||||
- 发布前 finalize-production 必须满足 planned/report/decoded feature 三方一致。
|
||||
96
config/pbf/cm95_tile_policy_japan_full_detail_v1.yaml
Normal file
96
config/pbf/cm95_tile_policy_japan_full_detail_v1.yaml
Normal file
@@ -0,0 +1,96 @@
|
||||
schema: navsea.cm95.tile-policy/v1
|
||||
version: v1.3-japan-full-detail-g7500-at-z12
|
||||
status: PRODUCTION_CANDIDATE
|
||||
xyz: true
|
||||
nominal_tile_pixels: 256
|
||||
buffer_tile_pixels: 8
|
||||
default_extent: 4096
|
||||
extent_by_zoom:
|
||||
'10': 4096
|
||||
'11': 4096
|
||||
'12': 1048576
|
||||
enumeration_scales:
|
||||
'0':
|
||||
- 20000000
|
||||
'1':
|
||||
- 20000000
|
||||
'2':
|
||||
- 20000000
|
||||
'3':
|
||||
- 20000000
|
||||
'4':
|
||||
- 20000000
|
||||
'5':
|
||||
- 3000000
|
||||
'6':
|
||||
- 3000000
|
||||
'7':
|
||||
- 3000000
|
||||
'8':
|
||||
- 1000000
|
||||
'9':
|
||||
- 1000000
|
||||
'10':
|
||||
- 200000
|
||||
'11':
|
||||
- 50000
|
||||
- 100000
|
||||
'12':
|
||||
- 7500
|
||||
- 20000
|
||||
- 50000
|
||||
scale_ladders:
|
||||
'0':
|
||||
- 20000000
|
||||
'1':
|
||||
- 20000000
|
||||
'2':
|
||||
- 20000000
|
||||
'3':
|
||||
- 20000000
|
||||
'4':
|
||||
- 20000000
|
||||
'5':
|
||||
- 3000000
|
||||
- 20000000
|
||||
'6':
|
||||
- 3000000
|
||||
- 20000000
|
||||
'7':
|
||||
- 3000000
|
||||
- 20000000
|
||||
'8':
|
||||
- 1000000
|
||||
- 3000000
|
||||
- 20000000
|
||||
'9':
|
||||
- 1000000
|
||||
- 3000000
|
||||
- 20000000
|
||||
'10':
|
||||
- 200000
|
||||
- 1000000
|
||||
- 3000000
|
||||
- 20000000
|
||||
'11':
|
||||
- 50000
|
||||
- 100000
|
||||
- 200000
|
||||
- 1000000
|
||||
- 3000000
|
||||
- 20000000
|
||||
'12':
|
||||
- 7500
|
||||
- 20000
|
||||
- 50000
|
||||
- 100000
|
||||
- 200000
|
||||
- 1000000
|
||||
- 3000000
|
||||
- 20000000
|
||||
notes:
|
||||
- Japan full-detail production 仍保持 z0-z12；不新增 z13/z14。
|
||||
- z12 enumeration 加入 1:7,500（G），避免正确 Japan 数据中的 G 级细节被生产策略直接忽略。
|
||||
- z12 scale ladder 优先 7,500，再回退 20k/50k/100k/...。
|
||||
- z0-z11 extent=4096；z12 extent=1048576，保持已验证 NavSea/MapLibre 契约。
|
||||
- enumeration_scales 仅决定物化范围；scale_ladders 仅决定 tile 内选择/回退。
|
||||
51
config/pbf/cm95_tile_policy_v1.yaml
Normal file
51
config/pbf/cm95_tile_policy_v1.yaml
Normal file
@@ -0,0 +1,51 @@
|
||||
schema: navsea.cm95.tile-policy/v1
|
||||
version: v1.2-production-materialization-split
|
||||
status: PRODUCTION_CANDIDATE
|
||||
xyz: true
|
||||
nominal_tile_pixels: 256
|
||||
buffer_tile_pixels: 8
|
||||
default_extent: 4096
|
||||
extent_by_zoom:
|
||||
'10': 4096
|
||||
'11': 4096
|
||||
'12': 1048576
|
||||
|
||||
# enumeration_scales 决定哪些 coverage 可以创建物理 tile。
|
||||
# 这里只使用与目标 zoom 匹配的原生/近原生比例尺，避免粗比例尺 coverage
|
||||
# 把高 zoom 生产范围膨胀成百万级静态文件。
|
||||
enumeration_scales:
|
||||
'0': [20000000]
|
||||
'1': [20000000]
|
||||
'2': [20000000]
|
||||
'3': [20000000]
|
||||
'4': [20000000]
|
||||
'5': [3000000]
|
||||
'6': [3000000]
|
||||
'7': [3000000]
|
||||
'8': [1000000]
|
||||
'9': [1000000]
|
||||
'10': [200000]
|
||||
'11': [50000, 100000]
|
||||
'12': [20000, 50000]
|
||||
|
||||
# scale_ladders 只控制已经决定生成的 tile 内部如何选择数据。
|
||||
# 粗比例尺仍可作为 tile 内回退，但不再扩张 tile 枚举范围。
|
||||
scale_ladders:
|
||||
'0': [20000000]
|
||||
'1': [20000000]
|
||||
'2': [20000000]
|
||||
'3': [20000000]
|
||||
'4': [20000000]
|
||||
'5': [3000000, 20000000]
|
||||
'6': [3000000, 20000000]
|
||||
'7': [3000000, 20000000]
|
||||
'8': [1000000, 3000000, 20000000]
|
||||
'9': [1000000, 3000000, 20000000]
|
||||
'10': [200000, 1000000, 3000000, 20000000]
|
||||
'11': [50000, 100000, 200000, 1000000, 3000000, 20000000]
|
||||
'12': [20000, 50000, 100000, 200000, 1000000, 3000000, 20000000]
|
||||
notes:
|
||||
- 生产目标为 z0-z12；Pilot 的 z10-z12 只用于验证。
|
||||
- enumeration_scales 与 scale_ladders 必须分离。
|
||||
- enumeration_scales 只决定是否物化 tile；scale_ladders 只决定 tile 内数据回退。
|
||||
- z0-z11 extent=4096；z12 extent=1048576，保持已验证 NavSea 契约。
|
||||
18
config/pbf/cm95_v1_4_5_nonrenderable_label_tiles.txt
Normal file
18
config/pbf/cm95_v1_4_5_nonrenderable_label_tiles.txt
Normal file
@@ -0,0 +1,18 @@
|
||||
# CM95 PBF v1.4.5 定向重建 tile
|
||||
# 来源：cm95_style_contract_unmatched_features_v1.json
|
||||
10/912/366
|
||||
10/913/366
|
||||
10/916/327
|
||||
11/1893/717
|
||||
11/1893/718
|
||||
11/1908/643
|
||||
11/1908/645
|
||||
11/1909/636
|
||||
11/1909/639
|
||||
11/1909/643
|
||||
11/1910/633
|
||||
12/3662/1409
|
||||
12/3737/1466
|
||||
12/3787/1435
|
||||
12/3787/1436
|
||||
12/3825/1376
|
||||
3334
config/sprite/semantic-sprite-20260808.json
Normal file
3334
config/sprite/semantic-sprite-20260808.json
Normal file
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
58
docs/25个新增映射缺口分类说明_v1.md
Normal file
58
docs/25个新增映射缺口分类说明_v1.md
Normal file
@@ -0,0 +1,58 @@
|
||||
# 25个新增映射缺口分类说明_v1
|
||||
|
||||
## 结论
|
||||
|
||||
- 正确 Japan Dataset 1 的 gap variant：165。
|
||||
- 原 disposition 可直接覆盖：140。
|
||||
- 新出现且未分类：25 variants / 869 rows。
|
||||
- 本次 25 个全部显式分类为 `ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW`。
|
||||
- 不新增 delivery mapping，不修改 `cm95_to_navsea_v1.yaml`，避免在未完成图层/样式语义设计前臆造显示。
|
||||
- 分类后 closure 预期：`PASS`。
|
||||
- 新 semantic backlog：137 variants / 90,009 rows。
|
||||
|
||||
## 25个新增 variant
|
||||
|
||||
| Object | Geometry | Rows | Safety | 处理 |
|
||||
|---|---:|---:|---|---|
|
||||
| TWRTPT | AREA | 462 | important | pending semantic review |
|
||||
| LNDSTS | AREA | 78 | normal | pending semantic review |
|
||||
| SNDWAV | AREA | 74 | important | pending semantic review |
|
||||
| FORSTC | POINT | 62 | normal | pending semantic review |
|
||||
| TIDEWY | LINE | 42 | important | pending semantic review |
|
||||
| RCTLPT | AREA | 30 | important | pending semantic review |
|
||||
| DWRTPT | AREA | 20 | important | pending semantic review |
|
||||
| TREPNT | POINT | 19 | normal | pending semantic review |
|
||||
| DAMCON | LINE | 12 | important | pending semantic review |
|
||||
| LITFLT | POINT | 9 | important | pending semantic review |
|
||||
| FSHZNE | AREA | 8 | important | pending semantic review |
|
||||
| TIDEWY | AREA | 8 | important | pending semantic review |
|
||||
| TOWERS | AREA | 8 | normal | pending semantic review |
|
||||
| DISMAR | POINT | 6 | normal | pending semantic review |
|
||||
| LOKBSN | AREA | 5 | normal | pending semantic review |
|
||||
| BRTFAC | AREA | 4 | normal | pending semantic review |
|
||||
| FORSTC | AREA | 4 | normal | pending semantic review |
|
||||
| GRIDRN | AREA | 4 | normal | pending semantic review |
|
||||
| MIPARE | AREA | 4 | important | pending semantic review |
|
||||
| SMCFAC | POINT | 4 | normal | pending semantic review |
|
||||
| HULKES | POINT | 2 | important | pending semantic review |
|
||||
| CHIMNY | AREA | 1 | normal | pending semantic review |
|
||||
| SMCFAC | AREA | 1 | normal | pending semantic review |
|
||||
| SPLARE | AREA | 1 | normal | pending semantic review |
|
||||
| WNDMIL | POINT | 1 | normal | pending semantic review |
|
||||
|
||||
## 特别优先审查
|
||||
|
||||
以下虽然本次先进入 pending，但属于后续应优先处理的航行语义：
|
||||
|
||||
- `TWRTPT AREA`：双向交通航路。
|
||||
- `RCTLPT AREA`：推荐交通航道。
|
||||
- `DWRTPT AREA`：深水航路。
|
||||
- `LITFLT POINT`：灯浮。
|
||||
- `FSHZNE AREA`：渔业区，样本明确包含鱼陷阱警告。
|
||||
- `MIPARE AREA`：军事演习区，样本包含潜艇演习警告。
|
||||
- `HULKES POINT`：沉船/废船点。
|
||||
- `SNDWAV AREA`、`TIDEWY LINE/AREA`：海底/水道相关语义。
|
||||
|
||||
## 重要说明
|
||||
|
||||
本次只解决“分类闭环”，不等于语义完整。当前 90,009 条 `NO_EXACT_RULE` 仍不会进入正式 delivery，其中还包括 TOPMAR、BOYLAT、RESARE、NAVLNE 等重要航海对象。
|
||||
84
docs/CM95_21张PBF对照审计_v1.md
Normal file
84
docs/CM95_21张PBF对照审计_v1.md
Normal file
@@ -0,0 +1,84 @@
|
||||
# CM95 21 张 PBF 与现有 NavSea/NEWPEC 对照审计 v1
|
||||
|
||||
## 1. 结论
|
||||
|
||||
PBF-03 v1.1 的 MVT 结构、extent、tile buffer、FID 稳定性和 scale-region 机制通过；但发现两个正式语义/样式契约问题，因此 v1.1 不冻结，进入 v1.2。
|
||||
|
||||
## 2. 已通过项目
|
||||
|
||||
- 新 delivery 与参考 AOI 均为完全相同的 21 个 `z/x/y` 路径。
|
||||
- MVT layer version 为 2。
|
||||
- extent 与当前工作参考一致：z10/z11 为 4096，z12 为 1048576。
|
||||
- 所有 geometry command 可解析；无空 geometry、无截断 geometry。
|
||||
- 新 PBF 坐标均落在现有 8px buffer 契约内。
|
||||
- delivery feature ID 均能在同 tile、同 source-layer 的 engineering PBF 中找到。
|
||||
- 以 `(source_id, output source-layer)` 检查，共 6067 个键；其中 890 个跨 tile 重复出现，MVT ID 不稳定数为 0。
|
||||
- 同一 tile/source-layer 内未发现重复 MVT ID。
|
||||
- scale-region 实现采用 `coverage.difference(occupied)`，详细比例尺优先、低比例尺只补空缺。
|
||||
- 对多比例尺并存的点图层做 30m 内近重复检查，未发现跨比例尺重复点。
|
||||
- 21 张 delivery 报告：hard-gate unmapped = 0；nav name conflicts = 0。
|
||||
|
||||
## 3. 问题 A：DEPARE 非标准水深区间不被现有 style 消费
|
||||
|
||||
v1.1 会直接把 CM95 `DRVAL1/DRVAL2` 拼成 `chart_fill_style`。当前 NavSea style 只接受固定区间，所以以下 24 个水深面在现有 style 下不会显示：
|
||||
|
||||
| 值 | 数量 |
|
||||
|---|---:|
|
||||
| depth_zone_13-20m | 7 |
|
||||
| depth_zone_7.5-10m | 7 |
|
||||
| depth_zone_20-50m | 7 |
|
||||
| depth_zone_12-20m | 1 |
|
||||
| depth_zone_9.6-10m | 1 |
|
||||
| depth_zone_14-20m | 1 |
|
||||
|
||||
v1.2 修正：将任意 CM95 深度范围归一到“能够完整包含原范围的最小现有 NavSea 区间”。例如：
|
||||
|
||||
- 7.5–10m → 5–10m
|
||||
- 9.6–10m → 5–10m
|
||||
- 12–20m / 13–20m / 14–20m → 10–20m
|
||||
- 20–50m → 20–100m
|
||||
|
||||
原始 `DRVAL1/DRVAL2` 仍保留在 engineering trace/source attributes，不修改 MySQL。
|
||||
|
||||
## 4. 问题 B：SOUNDG 与底质文字共用过宽 style filter
|
||||
|
||||
v1.1 在 21 张 delivery PBF 中输出的 `seabed_text_point`：
|
||||
|
||||
- z10：spot_sounding 71，seabed_material 9，seabed_area 1
|
||||
- z11：spot_sounding 590，seabed_material 83，seabed_area 2
|
||||
- z12：spot_sounding 2269，seabed_material 250，seabed_area 10
|
||||
|
||||
参考 PBF 的 `seabed_text_point` 只在 z12 出现，共 273 个，全部为 `canonical_object_type=seabed_material`。
|
||||
|
||||
当前 `bottom-material-labels` 仅判断 `has(chart_label_text)`，因此 v1.1 的 SOUNDG 在 z11/z12 会被当作底质文字直接显示，并且 `text-allow-overlap=true`，会造成测深数字过密。
|
||||
|
||||
v1.2 不改变 source-layer，仍使用 `seabed_text_point`，但提供最小 style 扩展：
|
||||
|
||||
1. `bottom-material-labels` 排除 `spot_sounding`；
|
||||
2. 新增 `spot-sounding-labels`；
|
||||
3. spot sounding 从 z12 开始显示；
|
||||
4. `text-allow-overlap=false`，由 MapLibre 的符号碰撞机制控制密度。
|
||||
|
||||
这样不增加新的正式 source-layer，也不丢 SOUNDG hard-gate 数据。
|
||||
|
||||
## 5. 参考数据差异，不判为生成器错误
|
||||
|
||||
参考 NEWPEC 与 CM95 是不同上游数据，因此 Feature 数量不要求一致。例如：
|
||||
|
||||
- 新 z12：4770 个 feature；参考 z12：11383 个 feature。
|
||||
- 参考含大量 `onshore_structure_line`、`baseline_outline`、`hole_area` 等；CM95 当前映射及源对象组成不同。
|
||||
- navigation_marks 全 AOI 数量接近：CM95 新 PBF 118，参考 123。
|
||||
- CM95 直接助航名称明显少于参考，这是源数据可证明关系差异；不得用参考名称反灌。
|
||||
|
||||
## 6. v1.2 冻结门槛
|
||||
|
||||
重新生成 21 张后必须满足：
|
||||
|
||||
- build report audit：PASS；
|
||||
- hard-gate unmapped = 0；
|
||||
- nav name conflicts = 0；
|
||||
- style contract audit：`contract_unmatched_count = 0`；
|
||||
- z10/z11/z12 extent 不变；
|
||||
- FID 稳定性不退化；
|
||||
- SOUNDG 在 z11 属于有意 zoom-hidden，在 z12 进入独立 sounding style；
|
||||
- 不修改 importer、geometry 或 MySQL schema。
|
||||
205
docs/CM95_PBF_Pilot生成器设计_v1.md
Normal file
205
docs/CM95_PBF_Pilot生成器设计_v1.md
Normal file
@@ -0,0 +1,205 @@
|
||||
# CM95 → NavSea PBF Pilot Generator v1
|
||||
|
||||
## 1. 当前阶段
|
||||
|
||||
已完成前置门禁：
|
||||
|
||||
- CM93 → MySQL 全量 Geometry / Non-Geometry：PASS。
|
||||
- NavSea 现有 style、semantic sprite、z10–z12 PBF 契约已审计。
|
||||
- 测试 AOI：`z10/914/385`。
|
||||
- AOI 中 CM95 数据有效。
|
||||
- `LIGHTS` relation20 全 AOI 审计：
|
||||
- LIGHTS total = 96
|
||||
- with relation20 = 94
|
||||
- relation20 可安全合成 = 94
|
||||
- 坐标冲突 = 0
|
||||
- 无 relation20、必须独立输出 = 2
|
||||
- 结论：`PASS_RELATION20_PRIMARY_KEY`
|
||||
|
||||
本包进入第一版真实生成阶段。
|
||||
|
||||
## 2. 架构
|
||||
|
||||
```text
|
||||
CM93 / CM95 source
|
||||
↓
|
||||
已冻结 MySQL importer
|
||||
↓
|
||||
CM95 MySQL Dataset 1
|
||||
↓ read-only
|
||||
Coverage / scale selector
|
||||
↓
|
||||
cm95_to_navsea_v1.yaml
|
||||
↓
|
||||
navigation relation20 composer
|
||||
↓
|
||||
Web Mercator clip / tile quantization
|
||||
↓
|
||||
NavSea source-layer
|
||||
↓
|
||||
MVT/PBF
|
||||
```
|
||||
|
||||
PBF 生成器不修改 importer、schema 或原始 CM93 数据。
|
||||
|
||||
## 3. 第一 AOI 的 scale policy
|
||||
|
||||
```text
|
||||
z10 → C / 1:200,000
|
||||
fallback B/A/Z
|
||||
|
||||
z11 → E / 1:50,000
|
||||
fallback D/C/B/A/Z
|
||||
|
||||
z12 → F / 1:20,000
|
||||
fallback E/D/C/B/A/Z
|
||||
```
|
||||
|
||||
回退不是简单叠加。
|
||||
|
||||
每一级优先使用该 scale 的 `chart_coverage.geom`；细图覆盖过的区域会遮蔽更粗 scale，只在未覆盖部分回退。
|
||||
|
||||
因此不会把 F/E/C/B 等多个比例尺的对象全部重复塞进同一 tile。
|
||||
|
||||
## 4. extent
|
||||
|
||||
为兼容用户提供的当前 NavSea/NEWPEC PBF：
|
||||
|
||||
```text
|
||||
z10 = 4096
|
||||
z11 = 4096
|
||||
z12 = 1048576
|
||||
```
|
||||
|
||||
这是 Pilot 明确 policy，而不是从 CM95 上游 PBF“继承”。
|
||||
|
||||
## 5. 助航对象合成
|
||||
|
||||
主键：
|
||||
|
||||
```text
|
||||
cell_id + attributes._cm93_relation20_raw
|
||||
```
|
||||
|
||||
仅当同一 relation20 组同时存在 `LIGHTS + base component` 时合成。
|
||||
|
||||
base component 优先级：
|
||||
|
||||
```text
|
||||
BCNLAT
|
||||
BCNSPP
|
||||
BOYSPP
|
||||
RTPBCN
|
||||
TOWERS
|
||||
_extgn
|
||||
```
|
||||
|
||||
同一组只输出一个 `navigation_marks` Feature。
|
||||
|
||||
原始组件在 engineering trace 中全部保留。
|
||||
|
||||
### 无 relation20 的 LIGHTS
|
||||
|
||||
当前 AOI 有 2 个。
|
||||
|
||||
规则：
|
||||
|
||||
```text
|
||||
独立输出
|
||||
不按距离猜测合并
|
||||
```
|
||||
|
||||
## 6. MVT ID
|
||||
|
||||
禁止使用 MySQL `chart_feature.id` 作为稳定外部身份。
|
||||
|
||||
第一次生成前建立：
|
||||
|
||||
```text
|
||||
build/cm95_fid_manifest_v1.sqlite
|
||||
```
|
||||
|
||||
Manifest 按：
|
||||
|
||||
```text
|
||||
source_relative_path
|
||||
source_record_index
|
||||
geometry_type
|
||||
sounding point_index
|
||||
```
|
||||
|
||||
确定性排序并分配 base ordinal。
|
||||
|
||||
最终 MVT numeric id：
|
||||
|
||||
```text
|
||||
base_ord * 16 + geometry_role
|
||||
```
|
||||
|
||||
这样：
|
||||
|
||||
- 结果是 signed-int32 范围；
|
||||
- Dataset 不变时重复构建稳定；
|
||||
- derived boundary / point-on-surface 有独立稳定 ID；
|
||||
- MySQL 重建导致自增 id 改变不会影响 PBF ID。
|
||||
|
||||
如果 Dataset 的 source SHA 集合发生变化，manifest fingerprint 不匹配，生成器会拒绝继续，要求显式重建。
|
||||
|
||||
## 7. Engineering / Delivery
|
||||
|
||||
### Engineering
|
||||
|
||||
保留：
|
||||
|
||||
```text
|
||||
source_id
|
||||
source_dataset_id
|
||||
source_cell
|
||||
source_record_index
|
||||
source_object_class
|
||||
source_geometry_type
|
||||
native_scale
|
||||
mapping_rule_id
|
||||
mapping_status
|
||||
source_attr_json
|
||||
```
|
||||
|
||||
无法安全映射对象进入：
|
||||
|
||||
```text
|
||||
cm95_unmapped
|
||||
```
|
||||
|
||||
### Delivery
|
||||
|
||||
只输出现有 NavSea style source-layer。
|
||||
|
||||
字段按当前 delivery allowlist 裁剪。
|
||||
|
||||
正式 delivery 不包含 `cm95_unmapped`。
|
||||
|
||||
## 8. 当前限制
|
||||
|
||||
这是 Pilot，不是全国发布版。
|
||||
|
||||
当前需要实测的内容：
|
||||
|
||||
1. `mapbox-vector-tile` 在用户 Windows 环境的编码结果；
|
||||
2. z10/z11/z12 Coverage 回退效果；
|
||||
3. CM95 和 NEWPEC 内容不同导致的对象数量差异；
|
||||
4. 航标 icon / label 实际视觉；
|
||||
5. 未映射对象收敛；
|
||||
6. hard-gate 对象保全；
|
||||
7. tile edge buffer；
|
||||
8. 后续 sector light 的专项 arc 映射。
|
||||
|
||||
因此第一轮目标是：
|
||||
|
||||
```text
|
||||
能生成
|
||||
能被当前 NavSea style 直接打开
|
||||
对象可追溯
|
||||
hard-gate 不静默丢
|
||||
```
|
||||
|
||||
而不是第一轮就宣称全国正式发布。
|
||||
70
docs/CM95_PBF_v1.4.7_导航名称冲突审计式省略_v1.md
Normal file
70
docs/CM95_PBF_v1.4.7_导航名称冲突审计式省略_v1.md
Normal file
@@ -0,0 +1,70 @@
|
||||
# CM95 PBF Production v1.4.7 — 导航名称冲突审计式省略
|
||||
|
||||
## 1. 本版本定位
|
||||
|
||||
v1.4.7 是 **release gate 修复**，不是 PBF builder 语义版本。
|
||||
|
||||
因此：
|
||||
|
||||
- Project/runtime 升级为 v1.4.7；
|
||||
- `BUILDER_CONTRACT_VERSION` **保持** `cm95pbf-builder/0.4.6-spatial-candidate-query`；
|
||||
- 已完成的 v1.4.6 Plan、FID、27,038 个 job、27,030 个 PBF 全部复用；
|
||||
- 不重新生成 PBF；
|
||||
- 不修改 MySQL；
|
||||
- 不修改 mapping / style / sprite / FID / geometry / quantization / encoder reconcile / non-renderable omission。
|
||||
|
||||
## 2. 已确认的真实冲突
|
||||
|
||||
当前 Japan release 中：
|
||||
|
||||
- report conflict occurrences：10；
|
||||
- trace conflict occurrences：10；
|
||||
- unique conflict outputs：4；
|
||||
- affected tiles：3；
|
||||
- native scale：全部 1:50,000；
|
||||
- 每个真实 conflict 都恰好有两个不同 direct-name candidate。
|
||||
|
||||
四组候选分别为：
|
||||
|
||||
- `R2` / `P4`
|
||||
- `R1` / `P3`
|
||||
- `L1` / `P1`
|
||||
- `L2` / `P2`
|
||||
|
||||
它们不是大小写、空格或格式差异，因此不能做字符串归一化后任选一个。
|
||||
|
||||
## 3. v1.4.7 policy
|
||||
|
||||
采用：
|
||||
|
||||
`AMBIGUOUS_DIRECT_NAMES_OMIT_LABEL_FAIL_CLOSED`
|
||||
|
||||
即：
|
||||
|
||||
1. composite base 自己没有直接名称；
|
||||
2. relation group 内有两个以上不同 LIGHTS 直接名称；
|
||||
3. Builder 继续不猜名称，不写 `chart_label_text`；
|
||||
4. finalizer 必须逐条核对 report 与 trace 数量；
|
||||
5. trace 必须明确 `nav_name_conflict=true` 且 `nav_name_source=conflict`；
|
||||
6. 至少存在两个 distinct name candidates；
|
||||
7. finalizer 解码对应 PBF feature，确认 `chart_label_text` 实际为空；
|
||||
8. 只有全部满足时，这些冲突才记为 `nav_name_conflict_omissions` 并允许 release PASS；
|
||||
9. 若 trace 缺失、数量不一致、PBF feature 不存在、或 ambiguous feature 被写入任意 label，则继续 hard fail。
|
||||
|
||||
这不是关闭 gate，而是把原来的“只要有 conflict 就失败”改成“只允许经过可验证的安全省略”。
|
||||
|
||||
## 4. 当前 release 不重建
|
||||
|
||||
当前 release：
|
||||
|
||||
`cm95-d1-62a85bd40d3a-6bc3c1352da3`
|
||||
|
||||
现有生产数据：
|
||||
|
||||
- jobs: 27,038 / 27,038 PASS
|
||||
- attempts: 27,038
|
||||
- PBF files: 27,030
|
||||
- planned features: 2,974,375
|
||||
- decoded features: 2,974,375
|
||||
|
||||
v1.4.7 仅重新执行 finalize。
|
||||
37
docs/CM95_PBF_v1_2变更说明.md
Normal file
37
docs/CM95_PBF_v1_2变更说明.md
Normal file
@@ -0,0 +1,37 @@
|
||||
# CM95 PBF Pilot Generator v1.2 变更说明
|
||||
|
||||
## 变更范围
|
||||
|
||||
本版本只处理 21 张 Pilot 对照中确认的两个问题：
|
||||
|
||||
1. DEPARE 深度区间归一化到当前 NavSea style 固定词汇；
|
||||
2. SOUNDG 与底质标签在同一 `seabed_text_point` source-layer 内分流显示。
|
||||
|
||||
## 未修改
|
||||
|
||||
- CM93/CM95 importer
|
||||
- geometry normalization
|
||||
- MySQL schema
|
||||
- relation20 助航合成规则
|
||||
- FID manifest 规则
|
||||
- tile extent / buffer
|
||||
- scale ladder / coverage difference 算法
|
||||
- 80 条 CM95 对象 mapping 主结构
|
||||
|
||||
## 新增 style 候选
|
||||
|
||||
`config/style/style.navsea-delivery-full-semantic-unified-20260808-cm95-v1.json`
|
||||
|
||||
它以当前 `style.navsea-delivery-full-semantic-unified-20260808.json` 为基线，只做：
|
||||
|
||||
- `bottom-material-labels` 排除 `spot_sounding`；
|
||||
- 新增 `spot-sounding-labels`，minzoom=12，禁止文字强制重叠。
|
||||
|
||||
## 新增审计工具
|
||||
|
||||
`tools/cm95_pbf_style_contract_audit_v2.py`
|
||||
|
||||
用于区分：
|
||||
|
||||
- style 属性/值域真正不匹配；
|
||||
- 因 minzoom/maxzoom 有意隐藏。
|
||||
35
docs/CM95_PBF_v1_3变更说明.md
Normal file
35
docs/CM95_PBF_v1_3变更说明.md
Normal file
@@ -0,0 +1,35 @@
|
||||
# CM95 PBF Pilot Generator v1.3 变更说明
|
||||
|
||||
## 原因
|
||||
|
||||
v1.2 的 21 张批量 Gate 中，构建报告累计 6911 个输出，而真实 PBF 解码为 6910。定位到唯一缺失对象：
|
||||
|
||||
- tile: `11/1828/771`
|
||||
- layer: `clearance_limit_line`
|
||||
- source_id: `cm95:1:03900420/E/03910424.E:574:line`
|
||||
- mapping: `CM95-052 / TELPHC`
|
||||
- safety_class: `hard_gate`
|
||||
|
||||
该线在 z11 extent=4096 量化后退化，被 `mapbox-vector-tile` encoder 静默省略。
|
||||
|
||||
## v1.3 规则
|
||||
|
||||
1. `clearance_limit_line` 若量化后仍有至少两个不同整数顶点，正常输出 line。
|
||||
2. 若量化后退化，改用 `representative_point()` 输出到已有 `clearance_limit_point`。
|
||||
3. fallback 使用同一 source_id 的 `ROLE_SECONDARY` 稳定 FID，不复用原 line FID。
|
||||
4. fallback 写入 trace，状态追加 `QUANTIZATION_FALLBACK_POINT`。
|
||||
5. 编码后立即 decode，并以 layer + feature.id 与计划输出逐项对账。
|
||||
6. 任何未处理的 encoder 丢失都会写失败报告并终止构建，不允许静默 PASS。
|
||||
|
||||
## 预期 Gate
|
||||
|
||||
本 AOI 应得到：
|
||||
|
||||
- 21 reports
|
||||
- planned output = actual output
|
||||
- quantization fallback = 1
|
||||
- encoder dropped = 0
|
||||
- hard-gate unmapped = 0
|
||||
- style contract unmatched = 0
|
||||
|
||||
`quantization fallback = 1` 是预期安全回退，不是失败。
|
||||
52
docs/CM95_PBF_v1_4_3离线自检报告_v1.md
Normal file
52
docs/CM95_PBF_v1_4_3离线自检报告_v1.md
Normal file
@@ -0,0 +1,52 @@
|
||||
# CM95 PBF Production v1.4.3 离线自检报告 v1
|
||||
|
||||
## 结论
|
||||
|
||||
离线自检：PASS。
|
||||
|
||||
## 检查项
|
||||
|
||||
1. Python 静态编译
|
||||
- 18 个 `.py` 文件全部 `py_compile` PASS。
|
||||
|
||||
2. Mapping → Style/Sprite Contract
|
||||
- Rules：81
|
||||
- Style source layers：37
|
||||
- Sprite keys：476
|
||||
- Layer failures：0
|
||||
- Sprite failures：0
|
||||
- OVERALL：PASS
|
||||
|
||||
3. Global Mapping Gap 分类收口
|
||||
- Observed gap variants：141
|
||||
- Unclassified：0
|
||||
- New delivery mapping：1（FSHHAV AREA）
|
||||
- Pending semantic review：112 variants / 52,828 rows
|
||||
- FSHHAV AREA hard-gate：PASS
|
||||
- Delivery change contract：PASS，仅 `FSHHAV`
|
||||
- 分类收口 OVERALL：PASS
|
||||
- Semantic completeness：PENDING_REVIEW
|
||||
|
||||
4. 量化预检合成测试
|
||||
- 亚像素短 Line：判定不可绘制
|
||||
- 正常 Line：判定可绘制
|
||||
- 亚像素 Polygon：判定不可绘制
|
||||
- 正常 Polygon：判定可绘制
|
||||
- 结果符合预期。
|
||||
|
||||
5. Release migration 合成测试
|
||||
- 3 个模拟任务：
|
||||
- 1 个旧 PASS 且不受 changed class 影响 → 成功复用
|
||||
- 1 个旧 PASS 但 report 含 FSHHAV → 新 release 留 PENDING
|
||||
- 1 个旧 FAILED → 新 release 留 PENDING
|
||||
- 新 ledger：PASS=1 / PENDING=2 / attempts=0
|
||||
- 结果符合预期。
|
||||
|
||||
## 未在离线环境执行
|
||||
|
||||
- 未连接用户 MySQL Dataset-1；
|
||||
- 未实际迁移 19,913 张旧 PASS；
|
||||
- 未实际重建 202 张失败 tile；
|
||||
- 未执行用户环境最终 `finalize-production`。
|
||||
|
||||
以上必须按《替换与执行说明.md》在用户 Windows 11 / 项目环境中完成。
|
||||
97
docs/CM95_PBF生产化阶段_v1_4.md
Normal file
97
docs/CM95_PBF生产化阶段_v1_4.md
Normal file
@@ -0,0 +1,97 @@
|
||||
> 注意：本文件记录 v1.4 初版。生产范围已在 v1.4.1 改为 z0–z12；以 `CM95_PBF生产化阶段_v1_4_1.md` 为准。
|
||||
|
||||
# CM95 PBF 生产化阶段 v1.4（历史：z10–z12 初版）
|
||||
|
||||
## 1. 基线
|
||||
|
||||
本版本以已经通过 21 张 AOI 双 Gate 的 v1.3 为冻结内核。以下行为不得在本阶段随意改变：
|
||||
|
||||
- `cm95_to_navsea_v1.yaml` 语义映射；
|
||||
- z10/z11/z12 extent；
|
||||
- scale ladder / coverage mask；
|
||||
- relation20 助航合成；
|
||||
- `OBJNAM/NOBJNM` 直接名称规则；
|
||||
- stable FID manifest；
|
||||
- hard-gate quantization fallback；
|
||||
- encoder 写后 Feature ID 对账。
|
||||
|
||||
v1.4 只增加生产编排层。
|
||||
|
||||
## 2. 新增生产闭环
|
||||
|
||||
### `plan-production`
|
||||
|
||||
从 MySQL 只读读取 `chart_cell` 与 `chart_coverage`，按当前 tile policy 中每个 zoom 的 scale ladder 枚举真实需要的 tile。
|
||||
|
||||
优先使用真实 coverage polygon；若某 Cell 没有 coverage，则使用 Cell bbox 作为保守 fallback，避免漏图。
|
||||
|
||||
生产计划冻结：
|
||||
|
||||
- Dataset fingerprint；
|
||||
- mapping SHA256；
|
||||
- tile policy SHA256；
|
||||
- FID manifest fingerprint/count；
|
||||
- profile；
|
||||
- zoom；
|
||||
- 完整 XYZ job 列表。
|
||||
|
||||
任何输入在计划创建后变化，`build-production` 必须拒绝继续。
|
||||
|
||||
### `build-production`
|
||||
|
||||
- SQLite 账本；
|
||||
- PASS 自动跳过；
|
||||
- 上次异常中断的 RUNNING 自动恢复 PENDING；
|
||||
- FAILED 最多重试指定次数；
|
||||
- 有限线程并发；
|
||||
- 每个 tile 继续使用 v1.3 builder 自带 hard-gate 与 encoder 对账；
|
||||
- 空 tile 允许 PASS，但不写 `.pbf`。
|
||||
|
||||
### `finalize-production`
|
||||
|
||||
发布前重新读取所有 report 与真实 PBF，要求：
|
||||
|
||||
- 所有计划 job = PASS；
|
||||
- hard-gate unmapped = 0；
|
||||
- encoder dropped = 0；
|
||||
- nav name conflict = 0；
|
||||
- planned output = report output = decoded PBF feature count；
|
||||
- tile 内同 layer Feature ID 无重复。
|
||||
|
||||
同时执行全量 style filter 契约与动态 sprite closure，并生成每个 PBF 的 SHA256/bytes/feature/layer inventory。
|
||||
|
||||
## 3. 产物结构
|
||||
|
||||
```text
|
||||
build/
|
||||
production/
|
||||
cm95_production_plan_v1.json
|
||||
|
||||
releases/
|
||||
<release_id>/
|
||||
production_run_v1.sqlite
|
||||
production_run_summary_v1.json
|
||||
release_manifest_v1.json
|
||||
|
||||
pbf/
|
||||
delivery/
|
||||
{z}/{x}/{y}.pbf
|
||||
|
||||
reports/
|
||||
delivery/
|
||||
{z}/{x}/{y}.json
|
||||
{z}/{x}/{y}.trace.jsonl
|
||||
```
|
||||
|
||||
`release_id` 由 Dataset fingerprint + plan hash 确定，相同输入得到相同 release identity。
|
||||
|
||||
## 4. 当前阶段不做
|
||||
|
||||
- 不选择 HTTP/Nginx/FastAPI serving；
|
||||
- 不改变 NavSea 客户端；
|
||||
- 不改 importer/schema；
|
||||
- 不增加新正式 source-layer；
|
||||
- 不改变 v1.3 safety semantics；
|
||||
- 不自动清理旧 release。
|
||||
|
||||
Serving 在完整 Dataset production release PASS 后再单独决定。
|
||||
56
docs/CM95_PBF生产化阶段_v1_4_1.md
Normal file
56
docs/CM95_PBF生产化阶段_v1_4_1.md
Normal file
@@ -0,0 +1,56 @@
|
||||
# CM95 PBF 生产化阶段 v1.4.1：z0–z12
|
||||
|
||||
## 1. 决策
|
||||
|
||||
生产目标固定为 **XYZ z0–z12**。
|
||||
|
||||
此前 z10–z12 是 Pilot AOI 验证范围，只用于验证 CM95→NavSea MVT 的语义、extent、FID、助航合成、hard-gate 与 style contract，不是生产发布范围。
|
||||
|
||||
v1.4.1 不改变 v1.3 已冻结内核，只扩展生产 tile policy 与生产计划 Gate。
|
||||
|
||||
## 2. Scale ladder
|
||||
|
||||
按当前 Dataset 已确认的 CM95 native scale 层级：
|
||||
|
||||
| Zoom | 优先比例尺及 fallback |
|
||||
|---|---|
|
||||
| z0–z4 | 1:20M |
|
||||
| z5–z7 | 1:3M → 1:20M |
|
||||
| z8–z9 | 1:1M → 1:3M → 1:20M |
|
||||
| z10 | 1:200k → 1:1M → 1:3M → 1:20M |
|
||||
| z11 | 1:50k → 1:100k → 1:200k → 1:1M → 1:3M → 1:20M |
|
||||
| z12 | 1:20k → 1:50k → 1:100k → 1:200k → 1:1M → 1:3M → 1:20M |
|
||||
|
||||
每级只向更粗比例尺 fallback。具体空间覆盖仍由 `chart_coverage` 控制，coverage 缺失时才使用 Cell bbox 保守兜底。
|
||||
|
||||
## 3. Extent
|
||||
|
||||
- z0–z11：4096；
|
||||
- z12：1048576，保持 Pilot 与当前 NavSea/NEWPEC 已验证契约。
|
||||
|
||||
## 4. Plan Gate
|
||||
|
||||
`plan-production --zooms 0-12` 必须创建完整 13 个 zoom 的不可变计划。
|
||||
|
||||
计划审计默认要求：
|
||||
|
||||
- planned zoom = 0..12；
|
||||
- 每一级至少存在一个真实 tile job；
|
||||
- duplicate job = 0；
|
||||
- invalid XYZ = 0；
|
||||
- `source_stats.tile_count` 与实际 job 数一致。
|
||||
|
||||
在完整 tile 数量未审查前，不启动 production build。
|
||||
|
||||
## 5. 冻结边界
|
||||
|
||||
以下内容仍保持 v1.3：
|
||||
|
||||
- CM95→NavSea mapping；
|
||||
- relation20 助航合成；
|
||||
- OBJNAM/NOBJNM 名称规则；
|
||||
- FID manifest；
|
||||
- hard-gate quantization fallback；
|
||||
- encoder 写后 Feature ID 对账；
|
||||
- release PBF 属性 allowlist；
|
||||
- style/sprite contract Gate。
|
||||
28
docs/CM95_PBF生产化阶段_v1_4_2.md
Normal file
28
docs/CM95_PBF生产化阶段_v1_4_2.md
Normal file
@@ -0,0 +1,28 @@
|
||||
# CM95 PBF 生产化阶段 v1.4.2
|
||||
|
||||
## 结论
|
||||
|
||||
v1.4.1 的计划枚举把 `scale_ladders` 中所有粗比例尺 coverage 都用于高 zoom tile 枚举，导致 z10/z11/z12 接近连续 4 倍膨胀：66,848 / 265,706 / 1,056,589。该计划仅结构合法，不具备生产合理性，必须作废。
|
||||
|
||||
## v1.4.2 修正
|
||||
|
||||
新增 `enumeration_scales`：
|
||||
|
||||
- 决定哪些 coverage 有资格创建物理 tile；
|
||||
- 与 `scale_ladders` 完全分离；
|
||||
- 粗比例尺 fallback 只能在已创建 tile 内参与数据选择，不能扩张高 zoom footprint。
|
||||
|
||||
默认 materialization：
|
||||
|
||||
- z0-z4: 1:20M
|
||||
- z5-z7: 1:3M
|
||||
- z8-z9: 1:1M
|
||||
- z10: 1:200k
|
||||
- z11: 1:50k + 1:100k
|
||||
- z12: 1:20k + 1:50k
|
||||
|
||||
原 `scale_ladders` 保持不变，因此 Pilot 已验证的 tile 内回退语义不变。
|
||||
|
||||
## 当前动作
|
||||
|
||||
只重新生成 z0-z12 production plan 并审计 tile 数量。未审查新数量前不得执行 `build-production`。
|
||||
146
docs/CM95_PBF生产化阶段_v1_4_3.md
Normal file
146
docs/CM95_PBF生产化阶段_v1_4_3.md
Normal file
@@ -0,0 +1,146 @@
|
||||
# CM95 PBF Production v1.4.3：生产收口与失败恢复
|
||||
|
||||
## 1. 背景
|
||||
|
||||
v1.4.2 首轮 Dataset-1 / z0–z12 production：
|
||||
|
||||
- 计划任务：20,115
|
||||
- PASS：19,913
|
||||
- FAILED：202
|
||||
- FAILED 分类：
|
||||
- MVT encoder dropped：171 tile
|
||||
- hard-gate unmapped：31 tile
|
||||
- hard-gate 缺口全部为 `FSHHAV AREA`，共 51 条源 Feature，失败报告中累计命中 73 次 tile-local 记录。
|
||||
|
||||
Encoder dropped 主要分布：
|
||||
|
||||
- `depth_contour`：313
|
||||
- `baseline_line`：85
|
||||
- `seabed_line`：9
|
||||
- `baseline_area`：5
|
||||
- `navigation_hazard_area`：1
|
||||
- `navigation_hazard_outline`：1
|
||||
|
||||
全 Dataset Mapping Gap 审计还发现：
|
||||
|
||||
- source variants：191
|
||||
- gap variants：141
|
||||
- gap object classes：117
|
||||
- gap feature rows：81,443
|
||||
- no exact rule rows：52,879
|
||||
- explicit/status gap rows：28,564
|
||||
- inherited hard-gate rows：51（全部 `FSHHAV AREA`）
|
||||
|
||||
因此 v1.4.3 不允许把 5 万多条未知语义对象粗暴映射到错误 NavSea 图层。
|
||||
|
||||
## 2. v1.4.3 决策
|
||||
|
||||
### 2.1 FSHHAV AREA 正式进入 delivery
|
||||
|
||||
`FSHHAV` Dictionary 含义为 Fish haven。
|
||||
|
||||
Dataset-1 实际出现 AREA variant，现映射为：
|
||||
|
||||
- main：`anchor_caution_hazard_area`
|
||||
- outline：`anchor_caution_hazard_outline`
|
||||
- point-on-surface：`anchor_caution_hazard_point`
|
||||
- canonical：`fish_reef`
|
||||
- safety：`hard_gate`
|
||||
- icon：`reef_fish`
|
||||
- fill：`pattern_fill_fish_reef`
|
||||
|
||||
AREA、outline、point-on-surface 三者都是同一源对象的不同渲染产物；不得把 AREA 静默降为 unmapped。
|
||||
|
||||
### 2.2 全量 gap 显式分类，但不伪造语义
|
||||
|
||||
新增：
|
||||
|
||||
`config/mappings/cm95_gap_disposition_v1.yaml`
|
||||
|
||||
141 个已观察 gap variant 全部有明确 disposition：
|
||||
|
||||
- 1 variant / 51 rows：`DELIVERY_MAPPED_V1_4_3`（FSHHAV AREA）
|
||||
- 28 variants / 28,564 rows：已有显式非 delivery mapping/status
|
||||
- 112 variants / 52,828 rows：`ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW`
|
||||
|
||||
后者不是“已经完成映射”，而是明确的语义 backlog；正式后续阶段必须按对象类别逐组审查，不得 generic 映射冒充正确航海语义。
|
||||
|
||||
## 3. MVT 量化策略
|
||||
|
||||
v1.3 只保护了 `clearance_limit_line` 的单一退化场景。v1.4.3 改为统一编码前预量化：
|
||||
|
||||
1. 使用当前 tile `quantize_bounds + extent` 计算整数坐标；
|
||||
2. Line 必须至少有两个不同量化坐标；
|
||||
3. Polygon exterior 必须至少有三个不同量化点且量化面积非零；
|
||||
4. 不满足条件的 tile-local 几何，不再送入 encoder。
|
||||
|
||||
处理分两类：
|
||||
|
||||
### 3.1 对象存在性必须保留
|
||||
|
||||
以下图层退化时转换到现有 point layer：
|
||||
|
||||
- `clearance_limit_line` → `clearance_limit_point`
|
||||
- `navigation_hazard_area/outline` → `navigation_hazard_point`
|
||||
- `anchor_caution_hazard_area/outline` → `anchor_caution_hazard_point`
|
||||
|
||||
报告记入 `quantization_fallbacks`。
|
||||
|
||||
### 3.2 线性参考/普通面片
|
||||
|
||||
例如：
|
||||
|
||||
- `depth_contour`
|
||||
- `baseline_line`
|
||||
- `seabed_line`
|
||||
- `baseline_area`
|
||||
|
||||
若当前 tile 内量化后已经没有可绘制二维/一维形状，则明确记入 `quantization_omissions` 后省略当前 tile-local 片段。
|
||||
|
||||
这不等于删除源对象；源对象、FID identity 和其它 tile/zoom 中可绘制片段不变。禁止把等深线等线性语义伪造成点。
|
||||
|
||||
Encoder 后仍做真实二进制 decode 对账；`encoder_dropped_features` 必须继续为 0。
|
||||
|
||||
## 4. Release 迁移
|
||||
|
||||
v1.4.3 mapping SHA 与 v1.4.2 不同，因此旧 plan 不得继续运行。
|
||||
|
||||
新增：
|
||||
|
||||
`cm95pbf migrate-production-release`
|
||||
|
||||
流程：
|
||||
|
||||
1. 用 v1.4.3 mapping 创建新 plan / 新 release_id；
|
||||
2. 读取旧 release ledger；
|
||||
3. 仅复用旧 `PASS`；
|
||||
4. 旧 FAILED/PENDING/RUNNING 一律在新 ledger 中重新 PENDING；
|
||||
5. 若旧 PASS report 命中新 mapping 声明的 `delivery_output_changed_object_classes`，也不复用；
|
||||
6. 旧 PASS 必须同时满足：
|
||||
- hard_gate_unmapped = 0
|
||||
- encoder_dropped_features = 0
|
||||
- planned == output
|
||||
- PBF/report 文件完整
|
||||
7. 通过的 PBF/report 默认用 hardlink 复用，失败则自动 copy fallback。
|
||||
|
||||
v1.4.3 的 delivery output changed class 只有：
|
||||
|
||||
`FSHHAV`
|
||||
|
||||
因为旧版所有出现 FSHHAV AREA 的 tile 都已被 hard-gate 阻断，正常预期是复用约 19,913 PASS，只重建约 202 tile。
|
||||
|
||||
## 5. Release 状态语义
|
||||
|
||||
`finalize-production` 现在同时输出：
|
||||
|
||||
- production integrity `status`
|
||||
- `semantic_completeness`
|
||||
- `semantic_backlog`
|
||||
- `quantization_fallbacks`
|
||||
- `quantization_omissions`
|
||||
|
||||
v1.4.3 即使 production integrity PASS，只要 112 个 pending semantic variant 尚未处理：
|
||||
|
||||
`semantic_completeness = PENDING_REVIEW`
|
||||
|
||||
因此不得把 v1.4.3 称为“全国 CM95 语义全部完成”；它是生产生成链/失败恢复/安全硬门收口版。
|
||||
66
docs/CM95_PBF生产化阶段_v1_4_4.md
Normal file
66
docs/CM95_PBF生产化阶段_v1_4_4.md
Normal file
@@ -0,0 +1,66 @@
|
||||
# CM95 PBF 生产化阶段 v1.4.4
|
||||
|
||||
## 状态
|
||||
|
||||
目标：解决 v1.4.3 全量 production 重建后剩余 45 个 `MVT encoder dropped features`。
|
||||
|
||||
v1.4.3 实测：
|
||||
|
||||
- jobs: 20,115
|
||||
- PASS: 20,070
|
||||
- FAILED: 45
|
||||
- FSHHAV hard-gate: 已解决
|
||||
- 剩余失败：全部 encoder drop
|
||||
|
||||
## 根因
|
||||
|
||||
v1.4.3 的 MVT 编码前预量化检查只能近似模拟 mapbox-vector-tile 的实际 geometry clean-up。
|
||||
实际 encoder 内部仍可能把部分 line/polygon 清理为空，因此第一遍 encode/decode 仍发现 planned ID 缺失。
|
||||
|
||||
## 修复
|
||||
|
||||
采用两阶段真实 encoder reconciliation：
|
||||
|
||||
1. encode + decode；
|
||||
2. 比较 planned IDs 与 actual IDs；
|
||||
3. 对 dropped ID：
|
||||
- 普通几何：显式 quantization omission；
|
||||
- safety-preserving layer：point fallback；
|
||||
4. 重建 planned set；
|
||||
5. 重新 encode + decode；
|
||||
6. 最终仍不一致则 fail-closed。
|
||||
|
||||
不会把 depth contour / baseline line 等普通线性对象伪造成 hazard point。
|
||||
|
||||
## Production plan 完整性修复
|
||||
|
||||
`builder_contract_version` 现在属于 immutable plan 内容，因此 builder 输出语义改变时 Plan ID / Release ID 会改变。
|
||||
|
||||
v1.4.4：
|
||||
|
||||
`cm95pbf-builder/0.4.4-encoder-reconcile`
|
||||
|
||||
这防止同一个 release 目录混用不同 encoder reconciliation 逻辑。
|
||||
|
||||
## Release Gate
|
||||
|
||||
允许：
|
||||
|
||||
- quantization omissions
|
||||
- safety point fallbacks
|
||||
- encoder probe candidates
|
||||
|
||||
禁止：
|
||||
|
||||
- final encoder_dropped_features
|
||||
- hard_gate_unmapped
|
||||
- planned/report/decode count mismatch
|
||||
- unexpected encoder output IDs
|
||||
|
||||
## 恢复策略
|
||||
|
||||
从 v1.4.3 release 迁移：
|
||||
|
||||
`cm95-d1-bfa67dd5625f-289c62fbf758`
|
||||
|
||||
预期复用 20,070 PASS，只重建 45 FAILED。
|
||||
42
docs/CM95_PBF生产化阶段_v1_4_5.md
Normal file
42
docs/CM95_PBF生产化阶段_v1_4_5.md
Normal file
@@ -0,0 +1,42 @@
|
||||
# CM95 PBF 生产化阶段 v1.4.5
|
||||
|
||||
## 目标
|
||||
|
||||
收口 v1.4.4 finalize-production 唯一剩余的 Style contract unmatched：18 个没有任何可渲染文本内容的 label-only Feature。
|
||||
|
||||
## 事实基线
|
||||
|
||||
- production jobs: 20115 / PASS 20115
|
||||
- PBF: 19751
|
||||
- planned/decoded features: 787902 / 787902
|
||||
- sprite missing: 0
|
||||
- style contract unmatched: 18
|
||||
- place_label_land / built_up_place: 9
|
||||
- seabed_text_point / seabed_material: 9
|
||||
- 18 个 tile-local Feature 分布于 16 个 tile。
|
||||
|
||||
## 修复
|
||||
|
||||
1. Builder contract 升级为 `cm95pbf-builder/0.4.5-nonrenderable-label-omit`。
|
||||
2. delivery 编码前增加 label renderability gate：
|
||||
- `place_label_land` 必须至少有非空 `place_name_en` 或 `chart_label_text`；
|
||||
- `seabed_text_point` 必须有非空 `chart_label_text`。
|
||||
3. 不满足时不进入 PBF，写入 `non_renderable_omissions`；trace 标记 `delivery_omitted=true`。
|
||||
4. 不修改 mapping/style/sprite/FID/geometry/quantization。
|
||||
5. migration 增加 `--invalidate-tiles-file`，只强制重建实际受 builder contract 变化影响的 tile。
|
||||
6. 修正 migration trace 文件扩展名为实际 `.trace.jsonl`。
|
||||
|
||||
## 预期结果
|
||||
|
||||
- 新 release jobs 20115
|
||||
- migrate reuse 20099
|
||||
- PENDING 16
|
||||
- 16 tile 重建 PASS
|
||||
- planned/decoded feature count 预计从 787902 降到 787884
|
||||
- `non_renderable_omissions = 18`
|
||||
- `style_sprite_contract.overall = PASS`
|
||||
- `contract_unmatched_count = 0`
|
||||
- `sprite_missing_count = 0`
|
||||
- finalize-production `status = PASS`
|
||||
|
||||
语义 backlog `112 variants / 52828 rows` 仍维持 `PENDING_REVIEW`，不在本版本伪装为完成。
|
||||
116
docs/CM95_PBF生产化阶段_v1_4_6.md
Normal file
116
docs/CM95_PBF生产化阶段_v1_4_6.md
Normal file
@@ -0,0 +1,116 @@
|
||||
# CM95 PBF 生产化阶段 v1.4.6
|
||||
|
||||
## 目标
|
||||
|
||||
v1.4.6 是 **纯生产查询性能修复**。不改变 NavSea delivery 语义、FID、mapping、Style、Sprite、量化、encoder reconcile、non-renderable omission 或 Japan z12 G=1:7,500 policy。
|
||||
|
||||
## 已确认根因
|
||||
|
||||
正确 Japan Dataset 1（1492 cells / 1,282,431 source features）在 z11 高密度生产时，v1.4.5 的 `_fetch_scale_features()` 使用：
|
||||
|
||||
```sql
|
||||
FROM chart_feature f
|
||||
JOIN chart_cell c ...
|
||||
JOIN chart_area_geometry g ...
|
||||
WHERE f.dataset_id=?
|
||||
AND f.native_scale=?
|
||||
AND f.geometry_type='AREA'
|
||||
AND four numeric bbox predicates
|
||||
ORDER BY c.source_relative_path, f.source_record_index
|
||||
```
|
||||
|
||||
代表性 tile EXPLAIN：
|
||||
|
||||
- `chart_feature` 驱动；
|
||||
- `key=idx_feature_class`；
|
||||
- `rows≈611,396`；
|
||||
- `Using temporary; Using filesort`。
|
||||
|
||||
同一 tile 改为 geometry spatial-first 后：
|
||||
|
||||
- `chart_area_geometry` 驱动；
|
||||
- `type=range`；
|
||||
- `key=spx_area_geom`；
|
||||
- `rows≈38`；
|
||||
- `chart_feature` 通过 PRIMARY KEY `eq_ref` 回表。
|
||||
|
||||
## v1.4.6 修改
|
||||
|
||||
### POINT / LINE / AREA
|
||||
|
||||
分别使用现有 MySQL 5.7 SPATIAL INDEX：
|
||||
|
||||
- `chart_point_geometry.spx_point_geom`
|
||||
- `chart_line_geometry.spx_line_geom`
|
||||
- `chart_area_geometry.spx_area_geom`
|
||||
|
||||
查询结构改为：
|
||||
|
||||
1. geometry table `FORCE INDEX(spx_*)`；
|
||||
2. `STRAIGHT_JOIN chart_feature`，防止 MySQL 5.7 重新选择 `chart_feature` 为驱动表；
|
||||
3. `MBRIntersects(g.geom, tile envelope)` 做 R-tree candidate lookup；
|
||||
4. 保留 v1.4.5 四个 `f.bbox_*` 条件作为第二道候选一致性 gate；
|
||||
5. 继续通过 `chart_feature` PRIMARY KEY 读取属性；
|
||||
6. 不增加/修改 importer schema。
|
||||
|
||||
### Deterministic ordering
|
||||
|
||||
v1.4.5 的 SQL `ORDER BY c.source_relative_path, f.source_record_index` 会对包含 JSON/WKB 的结果触发大量 disk temporary/filesort。
|
||||
|
||||
v1.4.6 删除 SQL ORDER BY，改为 Python 排序，同时保留原有顺序语义：
|
||||
|
||||
- 外层仍固定 `POINT → LINE → AREA`；
|
||||
- 每一种 geometry 内按 `(source_relative_path, source_record_index)` 排序；
|
||||
- sounding 按 `(source_relative_path, source_record_index, point_index)` 排序。
|
||||
|
||||
### SOUNDING
|
||||
|
||||
`chart_sounding_point` 同样显式：
|
||||
|
||||
- `FORCE INDEX(spx_sounding_geom)`；
|
||||
- `STRAIGHT_JOIN chart_feature`；
|
||||
- 保持原 `MBRContains(tile envelope, s.geom)` 语义不变；
|
||||
- 排序移到 Python。
|
||||
|
||||
## 不变项
|
||||
|
||||
- Dataset / importer / MySQL schema：不变；
|
||||
- `cm95_to_navsea_v1.yaml`：不变；
|
||||
- FID identity contract：不变；
|
||||
- delivery source-layer contract：不变；
|
||||
- encoder reconcile：不变；
|
||||
- non-renderable label omission：不变；
|
||||
- Japan gap disposition：不变；
|
||||
- Japan z12 G=1:7,500 policy：不变；
|
||||
- z0-z12 extent：不变。
|
||||
|
||||
## Builder contract
|
||||
|
||||
- project: `0.4.6`
|
||||
- runtime: `0.4.6-production-spatial-candidate-query`
|
||||
- builder: `cm95pbf-builder/0.4.6-spatial-candidate-query`
|
||||
|
||||
Builder contract 参与 production plan hash，因此必须创建新的 plan / release ID。不得用 v1.4.5 plan 直接继续 v1.4.6 build。
|
||||
|
||||
## 验收
|
||||
|
||||
正式 build 前执行：
|
||||
|
||||
```powershell
|
||||
& ".\.venv\Scripts\python.exe" .\tools\cm95_v1_4_6_preflight.py
|
||||
|
||||
& ".\.venv\Scripts\python.exe" .\tools\cm95_v1_4_6_query_equivalence.py `
|
||||
--dataset-id 1
|
||||
```
|
||||
|
||||
query equivalence 必须满足：
|
||||
|
||||
- POINT old IDs == new IDs；
|
||||
- LINE old IDs == new IDs；
|
||||
- AREA old IDs == new IDs；
|
||||
- SOUNDING old IDs == new IDs；
|
||||
- new query geometry table 为第一驱动表；
|
||||
- `type=range`；
|
||||
- 使用对应 `spx_*` index。
|
||||
|
||||
最终 release 仍允许 `semantic_completeness=PENDING_REVIEW`，但 technical final status 必须 PASS。
|
||||
47
docs/CM95_助航名称规则冻结_v1.md
Normal file
47
docs/CM95_助航名称规则冻结_v1.md
Normal file
@@ -0,0 +1,47 @@
|
||||
# CM95 助航名称规则冻结 v1
|
||||
|
||||
## 结论
|
||||
|
||||
基于 Dataset ID=1、z10/914/385 AOI 的 1:20,000 / 1:50,000 / 1:200,000 多尺度审计，冻结以下规则：
|
||||
|
||||
1. `navigation_marks.chart_label_text` 只允许来自助航组件自身的 `OBJNAM` 或 `NOBJNM`。
|
||||
2. `_texto._texta.text` 不参与自动助航名称关联。
|
||||
3. 不使用“最近文字”“同 Cell 最近文字”“距离阈值”生成助航名称。
|
||||
4. 不从 NEWPEC / reference PBF 反向灌入名称。
|
||||
5. relation20 仍只负责同 Cell 助航组件合成，不用于关联 `_texto`。
|
||||
6. 合成组中：
|
||||
- 基体存在直接名称时，基体名称优先；
|
||||
- 否则只有一个唯一 LIGHTS 直接名称时使用该名称；
|
||||
- 若多个 LIGHTS 提供不同直接名称，则 delivery 留空，engineering trace 记录 `nav_name_conflict=true` 与所有候选。
|
||||
7. standalone LIGHTS 同样只使用自身 `OBJNAM/NOBJNM`。
|
||||
|
||||
## 审计事实
|
||||
|
||||
- 共 136 个助航组。
|
||||
- 1:20,000：62 组，7 组带直接名称。
|
||||
- 1:50,000：57 组，0 组带直接名称。
|
||||
- 1:200,000：17 组，0 组带直接名称。
|
||||
- 三个比例尺 `explicit_text_candidates = 0`。
|
||||
- `_texto` 中没有可用于显式关联的 relation/index 字段。
|
||||
- 1:20,000 的 7 个直接名称均来自 `LIGHTS.OBJNAM`，值为：
|
||||
`L2 / R1 / L1 / C1 / C1 / C2 / R2`。
|
||||
|
||||
这些值属于 CM95 源对象自身字段，因此可以保留；但它们不能被解释成 NEWPEC 的日文灯塔名，也不能作为距离文字关联的依据。
|
||||
|
||||
## 生成器实现要求
|
||||
|
||||
- `OBJNAM` 优先，`NOBJNM` fallback。
|
||||
- 不引入 `_texto` proximity lookup。
|
||||
- engineering report 统计：
|
||||
- `named_from_direct_source`
|
||||
- `name_conflict_groups`
|
||||
- engineering trace 记录：
|
||||
- `nav_name_source`
|
||||
- `nav_name_candidates`
|
||||
- `nav_name_conflict`
|
||||
|
||||
## 状态
|
||||
|
||||
名称调查：CLOSED / PASS
|
||||
|
||||
本规则不阻塞 PBF-03 后续 21 张 z10-z12 批量生成。
|
||||
389
docs/CM95到NavSea映射设计报告_v1.md
Normal file
389
docs/CM95到NavSea映射设计报告_v1.md
Normal file
@@ -0,0 +1,389 @@
|
||||
# CM95 → NavSea PBF 映射设计报告 v1
|
||||
|
||||
日期：2026-09-03
|
||||
状态：`PBF-02 / IMPLEMENTATION_DRAFT`
|
||||
测试 AOI：`z10/914/385`
|
||||
|
||||
## 1. 本轮输入
|
||||
|
||||
CM95 MySQL AOI 审计：
|
||||
|
||||
```text
|
||||
AOI Cells : 7
|
||||
AOI Spatial Features : 3605
|
||||
Object class/geom groups : 80
|
||||
Attribute groups : 177
|
||||
Feature samples : 600
|
||||
```
|
||||
|
||||
现有 NavSea/NEWPEC 对照 PBF：
|
||||
|
||||
```text
|
||||
z10 tiles : 1
|
||||
z11 tiles : 4
|
||||
z12 tiles : 16
|
||||
total : 21
|
||||
observed source-layers : 37
|
||||
```
|
||||
|
||||
实际 extent：
|
||||
|
||||
```text
|
||||
z10 : 4096
|
||||
z11 : 4096
|
||||
z12 : 1048576
|
||||
```
|
||||
|
||||
因此 CM95 generator 不应把“所有 zoom 固定 extent=4096”当成既有生产事实。首版 generator 必须把 extent 作为显式策略，并在输出审计中记录实际值。
|
||||
|
||||
## 2. CM95 AOI 主要对象
|
||||
|
||||
当前 AOI 具备完整的安全对象闭环：
|
||||
|
||||
```text
|
||||
WRECKS POINT : 480
|
||||
DEPCNT LINE : 451
|
||||
DEPARE AREA : 414
|
||||
SBDARE POINT : 287
|
||||
SLCONS LINE : 209
|
||||
UWTROC POINT : 176
|
||||
COALNE LINE : 171
|
||||
LNDARE AREA : 159
|
||||
SLCONS AREA : 119
|
||||
LIGHTS POINT : 96
|
||||
OBSTRN AREA : 70
|
||||
ITDARE AREA : 69
|
||||
```
|
||||
|
||||
同时存在 Beacon/Buoy、Bridge、overhead cable、submarine cable、pilot boarding、anchorage 等对象，可覆盖第一阶段 hard-gate。
|
||||
|
||||
## 3. 现有 NavSea PBF 实际契约
|
||||
|
||||
当前 21 张参考 PBF 中最主要的 source-layer：
|
||||
|
||||
```text
|
||||
onshore_structure_line 12940
|
||||
baseline_outline 2129
|
||||
baseline_area 1146
|
||||
bathymetry_line 1128
|
||||
anchor_caution_hazard_point 897
|
||||
depth_contour 821
|
||||
hole_area 563
|
||||
land_area 321
|
||||
seabed_text_point 273
|
||||
baseline_line 234
|
||||
anchor_caution_hazard_area 172
|
||||
anchor_caution_hazard_outline 172
|
||||
onshore_structure_area 137
|
||||
place_label_land 136
|
||||
onshore_structure_point 124
|
||||
```
|
||||
|
||||
当前 unified style 实际消费 37 个 NavSea source-layer。
|
||||
|
||||
参考 PBF 与 style 之间存在少量“PBF 有但当前 style 不消费”的历史层：
|
||||
|
||||
```text
|
||||
depth_contour_overview
|
||||
route_area
|
||||
route_outline
|
||||
```
|
||||
|
||||
因此 CM95 v1 不因为参考 PBF 中存在 `route_area` 就自动输出它。
|
||||
例如 `FAIRWY` 首版保留在工程版，避免违反“只改 tile URL 即可使用当前 style”的目标。
|
||||
|
||||
## 4. 第一版映射覆盖
|
||||
|
||||
`cm95_to_navsea_v1.yaml` 已覆盖本 AOI 全部 80 个 `object_class + geometry_type` 组合。
|
||||
|
||||
映射状态（按组合数）：
|
||||
|
||||
```text
|
||||
MAPPED 33
|
||||
ENGINEERING_ONLY 12
|
||||
MAPPED_CONDITIONAL 11
|
||||
REVIEW_STYLE_GAP 11
|
||||
COMPOSITE 5
|
||||
REVIEW_CONDITIONAL 4
|
||||
ENGINEERING_COMPONENT 1
|
||||
UNMAPPED_REVIEW 1
|
||||
DERIVED_LABEL_ONLY 1
|
||||
MAPPED_DERIVED_POINTS 1
|
||||
```
|
||||
|
||||
可以直接进入映射/合成实现的 Feature 数：
|
||||
|
||||
```text
|
||||
3239 / 3605 = 89.8%
|
||||
```
|
||||
|
||||
其余对象没有静默丢弃，全部明确进入：
|
||||
|
||||
```text
|
||||
REVIEW_CONDITIONAL
|
||||
REVIEW_STYLE_GAP
|
||||
ENGINEERING_ONLY
|
||||
ENGINEERING_COMPONENT
|
||||
UNMAPPED_REVIEW
|
||||
```
|
||||
|
||||
正式 delivery 不会因为未映射而“假装成功”。
|
||||
|
||||
## 5. Hard-gate 映射
|
||||
|
||||
### DEPARE
|
||||
|
||||
```text
|
||||
DEPARE AREA
|
||||
→ baseline_area
|
||||
→ DRVAL1 / DRVAL2
|
||||
→ canonical depth range
|
||||
→ chart_fill_style=depth_zone_*
|
||||
```
|
||||
|
||||
原 polygon 不重建。
|
||||
|
||||
### DEPCNT
|
||||
|
||||
```text
|
||||
DEPCNT LINE
|
||||
→ depth_contour
|
||||
VALDCO → least_depth_m
|
||||
VALDCO → chart_label_text
|
||||
```
|
||||
|
||||
### WRECKS
|
||||
|
||||
```text
|
||||
WRECKS POINT
|
||||
→ navigation_hazard_point
|
||||
VALSOU present → wreck_surveyed
|
||||
otherwise → wreck_submerged_dangerous
|
||||
```
|
||||
|
||||
Area wreck 保持 area，不降级为 point，并额外派生 boundary 到 `navigation_hazard_outline`。
|
||||
|
||||
### UWTROC
|
||||
|
||||
```text
|
||||
UWTROC POINT
|
||||
→ navigation_hazard_point
|
||||
|
||||
WATLEV submerged → rock_submerged
|
||||
WATLEV awash/drying → rock_awash
|
||||
VALSOU → least_depth_m
|
||||
```
|
||||
|
||||
必须保留水上/水下语义。
|
||||
|
||||
### OBSTRN
|
||||
|
||||
Point 与 Area 分开：
|
||||
|
||||
```text
|
||||
POINT → navigation_hazard_point
|
||||
AREA → navigation_hazard_area + derived outline
|
||||
```
|
||||
|
||||
### FSHHAV
|
||||
|
||||
```text
|
||||
FSHHAV POINT
|
||||
→ anchor_caution_hazard_point
|
||||
→ reef_fish
|
||||
```
|
||||
|
||||
### BRIDGE / CBLOHD / TELPHC / PIPOHD
|
||||
|
||||
净空/架空安全对象使用现有：
|
||||
|
||||
```text
|
||||
bridge_structure
|
||||
clearance_limit_line
|
||||
clearance_limit_point
|
||||
```
|
||||
|
||||
存在 `VERCLR` 时才写净空数值；没有值时不伪造。
|
||||
|
||||
## 6. 助航对象必须合成，而不是简单逐对象输出
|
||||
|
||||
本轮最重要的新结论是：
|
||||
|
||||
CM93 中：
|
||||
|
||||
```text
|
||||
LIGHTS
|
||||
BCNLAT
|
||||
BCNSPP
|
||||
BOYSPP
|
||||
RTPBCN
|
||||
TOWERS
|
||||
_extgn
|
||||
```
|
||||
|
||||
可能是同一个现实助航标的多个对象组件。
|
||||
|
||||
AOI 样本已经观察到共享：
|
||||
|
||||
```text
|
||||
cell_id + attributes._cm93_relation20_raw
|
||||
```
|
||||
|
||||
并且共享 relation20 的样本坐标完全一致。
|
||||
|
||||
样本证据包括：
|
||||
|
||||
- cell `693` relation20 `2273` → `BCNLAT, LIGHTS`；坐标组数 `1`
|
||||
- cell `693` relation20 `2272` → `BCNLAT, LIGHTS`；坐标组数 `1`
|
||||
- cell `693` relation20 `2254` → `BCNLAT, LIGHTS`；坐标组数 `1`
|
||||
- cell `693` relation20 `2266` → `LIGHTS, _extgn`；坐标组数 `1`
|
||||
- cell `693` relation20 `2270` → `LIGHTS, _extgn`；坐标组数 `1`
|
||||
- cell `693` relation20 `2276` → `LIGHTS, _extgn`；坐标组数 `1`
|
||||
- cell `693` relation20 `2239` → `LIGHTS, TOWERS`；坐标组数 `1`
|
||||
- cell `693` relation20 `2241` → `LIGHTS, TOWERS`；坐标组数 `1`
|
||||
|
||||
因此 CM95 PBF Adapter 第一版采用：
|
||||
|
||||
```text
|
||||
primary composition key =
|
||||
cell_id
|
||||
+ _cm93_relation20_raw
|
||||
```
|
||||
|
||||
而不是仅凭经纬度 proximity 合并。
|
||||
|
||||
规则：
|
||||
|
||||
1. relation20 相同且坐标一致 → 合成一个 `navigation_marks` Feature；
|
||||
2. LIGHTS 的灯色、灯质、周期、高度、射程、扇区等属性并入基体；
|
||||
3. Beacon/Buoy/Tower 提供主体 symbol 语义；
|
||||
4. `_extgn` 只作为组件/trace，不单独 delivery；
|
||||
5. relation20 缺失时才允许进入 fallback；
|
||||
6. fallback 必须被审计标记，不能静默按邻近点合并。
|
||||
|
||||
在真正写 generator 前，需要用全 AOI 数据验证 relation20，而不是只依赖 600 条采样记录。
|
||||
|
||||
本包已经提供：
|
||||
|
||||
```text
|
||||
tools/cm95_nav_aid_relation_audit_v1.py
|
||||
```
|
||||
|
||||
## 7. Light 字段
|
||||
|
||||
本 AOI 实际出现的 CM93/S-57 `COLOUR` 值：
|
||||
|
||||
```text
|
||||
1 → white
|
||||
3 → red
|
||||
4 → green
|
||||
6 → yellow
|
||||
```
|
||||
|
||||
首版只对当前实际出现值建立冻结映射；其它值先进入 mapping gap，不猜值。
|
||||
|
||||
`LIGHTS` 输出至少包括：
|
||||
|
||||
```text
|
||||
light_color_code
|
||||
chart_label_text
|
||||
chart_label_subtext
|
||||
chart_text_style
|
||||
chart_text_color
|
||||
light_sector_mode
|
||||
chart_icon_image
|
||||
```
|
||||
|
||||
灯略记由：
|
||||
|
||||
```text
|
||||
LITCHR
|
||||
SIGGRP
|
||||
SIGPER
|
||||
COLOUR
|
||||
HEIGHT
|
||||
VALNMR
|
||||
```
|
||||
|
||||
组合生成。
|
||||
|
||||
## 8. Sounding
|
||||
|
||||
当前 AOI 有 `SOUNDG` Feature，并由 `chart_sounding_point` 保存多个真实 sounding points。
|
||||
|
||||
因为当前 style 没有独立 `sounding_point` source-layer，v1 采用：
|
||||
|
||||
```text
|
||||
chart_sounding_point
|
||||
→ derived point label
|
||||
→ seabed_text_point
|
||||
```
|
||||
|
||||
这是额外 render artifact，不修改/替换数据库里的原 sounding。
|
||||
|
||||
## 9. Stable identity
|
||||
|
||||
禁止把：
|
||||
|
||||
```text
|
||||
chart_feature.id
|
||||
```
|
||||
|
||||
当成长期 PBF identity。
|
||||
|
||||
v1 冻结 source identity：
|
||||
|
||||
```text
|
||||
cm95:
|
||||
dataset_id
|
||||
+ source_relative_path
|
||||
+ source_record_index
|
||||
+ geometry_role
|
||||
```
|
||||
|
||||
下一阶段 generator 会在此基础上建立稳定 FID manifest，再接现有 NavSea numeric feature-id 体系。
|
||||
|
||||
## 10. 当前尚未正式进入 delivery 的内容
|
||||
|
||||
主要包括：
|
||||
|
||||
```text
|
||||
_texto 文本归属 land/sea/facility 尚需关联判断
|
||||
BUISGL POINT 当前 style 表达不明确
|
||||
行政边界类 当前 style 不需要
|
||||
FAIRWY 参考 PBF 有 route_area，但当前 unified style 不消费
|
||||
若干一般陆上点对象 不属于 hard-gate，后续补 symbol 映射
|
||||
```
|
||||
|
||||
这些对象全部保留在工程 trace / `cm95_unmapped`，没有删除。
|
||||
|
||||
## 11. 下一步门禁
|
||||
|
||||
先执行 relation20 全 AOI 审计。
|
||||
|
||||
通过条件：
|
||||
|
||||
```text
|
||||
LIGHTS relation20 可覆盖主要灯标
|
||||
relation group 不出现明显坐标冲突
|
||||
跨 Cell 不发生错误合并
|
||||
无法合并的 LIGHTS 数量明确
|
||||
```
|
||||
|
||||
通过后进入：
|
||||
|
||||
```text
|
||||
PBF-03
|
||||
CM95 MySQL → z10/914/385 单 tile generator
|
||||
```
|
||||
|
||||
第一版 generator 将只实现当前已经冻结的映射，并同时输出：
|
||||
|
||||
```text
|
||||
delivery PBF
|
||||
engineering PBF / trace
|
||||
cm95_unmapped report
|
||||
FID audit
|
||||
sprite closure audit
|
||||
object preservation audit
|
||||
```
|
||||
35
docs/PBF03_离线自检报告_v1.md
Normal file
35
docs/PBF03_离线自检报告_v1.md
Normal file
@@ -0,0 +1,35 @@
|
||||
# PBF-03 离线自检报告 v1
|
||||
|
||||
状态：`PASS / WAITING FOR USER MYSQL + WINDOWS MVT BUILD`
|
||||
|
||||
## 已检查
|
||||
|
||||
- 当前仓库 `pyproject.toml` 基线已读取并按完整文件方式更新。
|
||||
- `requirements.txt` 已同步新增 `PyYAML` 与 `mapbox-vector-tile`。
|
||||
- 新增包：`src/cm95pbf/`，不修改 `src/cm93db/` importer/geometry。
|
||||
- Mapping：80 条 `object_class + geometry_type` 规则，无重复 key。
|
||||
- 当前 NavSea style：37 个 `source-layer`。
|
||||
- 当前 semantic sprite：476 个 key。
|
||||
- Mapping contract：layer failure = 0，sprite failure = 0。
|
||||
- AOI：`z10/914/385`。
|
||||
- Tile math：WGS84 bbox 与前置 AOI 审计一致。
|
||||
- 子瓦片：z11 = 4 张，z12 = 16 张。
|
||||
- relation20：96 LIGHTS 中 94 可安全关联，坐标冲突 0，2 条独立 LIGHTS。
|
||||
- Python 静态编译：`src/cm95pbf/*.py` 与 `tools/*.py` PASS。
|
||||
|
||||
## 生成器原则
|
||||
|
||||
- MySQL 只读。
|
||||
- 不使用 `chart_feature.id` 作为外部稳定 MVT id。
|
||||
- 使用 Dataset FID manifest。
|
||||
- Coverage 决定同一 tile 内的比例尺优先级和回退区域。
|
||||
- Engineering 版保留 trace；Delivery 版按当前 NavSea delivery allowlist 裁字段。
|
||||
- 无安全映射对象不进入正式 delivery，engineering 进入 `cm95_unmapped`。
|
||||
- 扇区灯第一轮不伪造 `arc_id`；待与实际生成结果和现有 PBF 做专项闭合。
|
||||
|
||||
## 尚需用户环境验证
|
||||
|
||||
- MySQL 实际查询与 Coverage 回退。
|
||||
- `mapbox-vector-tile` Windows 编码结果。
|
||||
- 21 张 PBF 实际 decode/audit。
|
||||
- 与现有 NavSea/NEWPEC 同 AOI 的 source-layer、hard-gate 和视觉对照。
|
||||
34
docs/PBF03_离线自检报告_v1_1.md
Normal file
34
docs/PBF03_离线自检报告_v1_1.md
Normal file
@@ -0,0 +1,34 @@
|
||||
# PBF-03 Pilot Generator v1.1 离线自检报告
|
||||
|
||||
## 变更
|
||||
|
||||
v1.1 在已通过单 tile 二进制兼容性检查的 v1 基线上，只补充助航名称契约：
|
||||
|
||||
- 新增 `OBJNAM -> NOBJNM` fallback；
|
||||
- 多灯组直接名称冲突不写入 delivery；
|
||||
- engineering trace 记录名称来源/候选/冲突；
|
||||
- build report 增加直接名称与名称冲突统计；
|
||||
- `_texto` 距离候选仍完全不参与生成。
|
||||
|
||||
## 静态检查
|
||||
|
||||
- Python `py_compile`：PASS
|
||||
- Mapping rules：80
|
||||
- 助航名称 direct helper：PASS
|
||||
- 当前 mapping 的 LIGHTS `chart_label_text`：`first_present(OBJNAM,NOBJNM)`
|
||||
- 不修改 importer / geometry / schema。
|
||||
- z10/z11/z12 extent policy 不变。
|
||||
- build-sample-aoi 仍固定生成 1 + 4 + 16 = 21 张/每 profile。
|
||||
|
||||
## 运行时待验证
|
||||
|
||||
本环境没有用户 MySQL Dataset，因此以下由用户本机执行：
|
||||
|
||||
1. 重新安装 editable project；
|
||||
2. 运行 `build-sample-aoi`；
|
||||
3. 运行 delivery build report audit；
|
||||
4. 上传 `sample_aoi_summary_v1.json` 与 `cm95_pbf_build_reports_audit_v1.json`。
|
||||
|
||||
## Gate
|
||||
|
||||
允许进入 21 张 Pilot 批量生成。
|
||||
866
docs/cm95_global_mapping_gap_closure_audit_v2.json
Normal file
866
docs/cm95_global_mapping_gap_closure_audit_v2.json
Normal file
@@ -0,0 +1,866 @@
|
||||
{
|
||||
"schema": "navsea.cm95.global-mapping-gap-closure-audit/v2",
|
||||
"dataset_id": 1,
|
||||
"observed_gap_variants": 141,
|
||||
"unclassified_variants": [],
|
||||
"newly_delivery_mapped": [
|
||||
{
|
||||
"object_class": "FSHHAV",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 51,
|
||||
"disposition": "DELIVERY_MAPPED_V1_4_3"
|
||||
}
|
||||
],
|
||||
"existing_explicit_non_delivery": [
|
||||
{
|
||||
"object_class": "_texto",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 13911,
|
||||
"disposition": "EXISTING_REVIEW_CONDITIONAL"
|
||||
},
|
||||
{
|
||||
"object_class": "$LINES",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 2652,
|
||||
"disposition": "EXISTING_ENGINEERING_ONLY"
|
||||
},
|
||||
{
|
||||
"object_class": "CTNARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 2546,
|
||||
"disposition": "EXISTING_REVIEW_CONDITIONAL"
|
||||
},
|
||||
{
|
||||
"object_class": "CTNARE",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 2262,
|
||||
"disposition": "EXISTING_REVIEW_CONDITIONAL"
|
||||
},
|
||||
{
|
||||
"object_class": "BUAARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 2046,
|
||||
"disposition": "EXISTING_ENGINEERING_ONLY"
|
||||
},
|
||||
{
|
||||
"object_class": "M_PROD",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 784,
|
||||
"disposition": "EXISTING_ENGINEERING_ONLY"
|
||||
},
|
||||
{
|
||||
"object_class": "$COMPS",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 538,
|
||||
"disposition": "EXISTING_ENGINEERING_ONLY"
|
||||
},
|
||||
{
|
||||
"object_class": "BUISGL",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 516,
|
||||
"disposition": "EXISTING_UNMAPPED_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "_extgn",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 462,
|
||||
"disposition": "EXISTING_ENGINEERING_COMPONENT"
|
||||
},
|
||||
{
|
||||
"object_class": "TNKCON",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 426,
|
||||
"disposition": "EXISTING_REVIEW_STYLE_GAP"
|
||||
},
|
||||
{
|
||||
"object_class": "$AREAS",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 418,
|
||||
"disposition": "EXISTING_ENGINEERING_ONLY"
|
||||
},
|
||||
{
|
||||
"object_class": "NATARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 315,
|
||||
"disposition": "EXISTING_ENGINEERING_ONLY"
|
||||
},
|
||||
{
|
||||
"object_class": "TESARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 277,
|
||||
"disposition": "EXISTING_ENGINEERING_ONLY"
|
||||
},
|
||||
{
|
||||
"object_class": "BUIREL",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 246,
|
||||
"disposition": "EXISTING_REVIEW_STYLE_GAP"
|
||||
},
|
||||
{
|
||||
"object_class": "HRBARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 204,
|
||||
"disposition": "EXISTING_REVIEW_CONDITIONAL"
|
||||
},
|
||||
{
|
||||
"object_class": "CRANES",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 167,
|
||||
"disposition": "EXISTING_REVIEW_STYLE_GAP"
|
||||
},
|
||||
{
|
||||
"object_class": "FAIRWY",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 157,
|
||||
"disposition": "EXISTING_ENGINEERING_ONLY"
|
||||
},
|
||||
{
|
||||
"object_class": "CTRPNT",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 151,
|
||||
"disposition": "EXISTING_ENGINEERING_ONLY"
|
||||
},
|
||||
{
|
||||
"object_class": "PRDINS",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 131,
|
||||
"disposition": "EXISTING_REVIEW_STYLE_GAP"
|
||||
},
|
||||
{
|
||||
"object_class": "EXEZNE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 64,
|
||||
"disposition": "EXISTING_ENGINEERING_ONLY"
|
||||
},
|
||||
{
|
||||
"object_class": "SILBUI",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 60,
|
||||
"disposition": "EXISTING_REVIEW_STYLE_GAP"
|
||||
},
|
||||
{
|
||||
"object_class": "SISTAW",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 59,
|
||||
"disposition": "EXISTING_REVIEW_STYLE_GAP"
|
||||
},
|
||||
{
|
||||
"object_class": "CONZNE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 47,
|
||||
"disposition": "EXISTING_ENGINEERING_ONLY"
|
||||
},
|
||||
{
|
||||
"object_class": "SISTAT",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 43,
|
||||
"disposition": "EXISTING_REVIEW_STYLE_GAP"
|
||||
},
|
||||
{
|
||||
"object_class": "PYLONS",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 33,
|
||||
"disposition": "EXISTING_REVIEW_STYLE_GAP"
|
||||
},
|
||||
{
|
||||
"object_class": "MONUMT",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 20,
|
||||
"disposition": "EXISTING_REVIEW_STYLE_GAP"
|
||||
},
|
||||
{
|
||||
"object_class": "AIRARE",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 16,
|
||||
"disposition": "EXISTING_REVIEW_STYLE_GAP"
|
||||
},
|
||||
{
|
||||
"object_class": "RSCSTA",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 13,
|
||||
"disposition": "EXISTING_REVIEW_STYLE_GAP"
|
||||
}
|
||||
],
|
||||
"pending_semantic_review": [
|
||||
{
|
||||
"object_class": "RIVERS",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 17606,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "SLOTOP",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 7572,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "LNDELV",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 5441,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "SLOGRD",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 5181,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "LNDRGN",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 3041,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "TOPMAR",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 1572,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "ROADPT",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 1408,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "WEDKLP",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 1288,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "VEGARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 881,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "RECTRC",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 807,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "BOYLAT",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 762,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "RESARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 671,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "RAILWY",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 477,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "WATTUR",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 474,
|
||||
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|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "CAUSWY",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 3,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "CEMTRY",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 3,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "DIFFUS",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 3,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "FLGSTF",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 3,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "WATTUR",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 3,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "CHNWIR",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 2,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "CTSARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 2,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "OFSPRD",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 2,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "RMPARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 2,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "AIRARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 1,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "BCNSAW",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 1,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "DOCARE",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 1,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "FERYRT",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 1,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "FLODOC",
|
||||
"geometry_type": "LINE",
|
||||
"feature_count": 1,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "FSHGRD",
|
||||
"geometry_type": "AREA",
|
||||
"feature_count": 1,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "GATCON",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 1,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "LOGPON",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 1,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "RADDOM",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 1,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "SPOGRD",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 1,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
},
|
||||
{
|
||||
"object_class": "SPRING",
|
||||
"geometry_type": "POINT",
|
||||
"feature_count": 1,
|
||||
"disposition": "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
}
|
||||
],
|
||||
"pending_semantic_review_feature_rows": 52828,
|
||||
"fshhav_area_hard_gate_mapping_ok": true,
|
||||
"delivery_output_changed_object_classes": [
|
||||
"FSHHAV"
|
||||
],
|
||||
"delivery_change_contract_ok": true,
|
||||
"semantic_completeness": "PENDING_REVIEW",
|
||||
"overall": "PASS"
|
||||
}
|
||||
12
docs/cm95_mapping_contract_check_v1.json
Normal file
12
docs/cm95_mapping_contract_check_v1.json
Normal file
@@ -0,0 +1,12 @@
|
||||
{
|
||||
"mapping": "/mnt/data/cm95_pbf_pilot_generator_v1/config/mappings/cm95_to_navsea_v1.yaml",
|
||||
"style": "/mnt/data/_pbf_sample/style.navsea-delivery-full-semantic-unified-20260808.json",
|
||||
"sprite_json": "/mnt/data/_pbf_sample/semantic-sprite/sprite.json",
|
||||
"style_source_layer_count": 37,
|
||||
"sprite_key_count": 476,
|
||||
"rule_count": 80,
|
||||
"layer_failures": [],
|
||||
"sprite_failures": [],
|
||||
"failure_count": 0,
|
||||
"overall": "PASS"
|
||||
}
|
||||
12
docs/cm95_mapping_contract_check_v1_1.json
Normal file
12
docs/cm95_mapping_contract_check_v1_1.json
Normal file
@@ -0,0 +1,12 @@
|
||||
{
|
||||
"mapping": "/mnt/data/cm95_pbf_pilot_generator_v1_1/config/mappings/cm95_to_navsea_v1.yaml",
|
||||
"style": "/mnt/data/navsea_contract_ref/style.navsea-delivery-full-semantic-unified-20260808.json",
|
||||
"sprite_json": "/mnt/data/navsea_contract_ref/semantic-sprite/sprite.json",
|
||||
"style_source_layer_count": 37,
|
||||
"sprite_key_count": 476,
|
||||
"rule_count": 80,
|
||||
"layer_failures": [],
|
||||
"sprite_failures": [],
|
||||
"failure_count": 0,
|
||||
"overall": "PASS"
|
||||
}
|
||||
12
docs/cm95_mapping_contract_check_v1_4_3.json
Normal file
12
docs/cm95_mapping_contract_check_v1_4_3.json
Normal file
@@ -0,0 +1,12 @@
|
||||
{
|
||||
"mapping": "/mnt/data/cm95_pbf_production_v1_4_3/cm95_pbf_production_v1_4/config/mappings/cm95_to_navsea_v1.yaml",
|
||||
"style": "/mnt/data/cm95_pbf_production_v1_4_3/cm95_pbf_production_v1_4/config/style/style.navsea-delivery-full-semantic-unified-20260808-cm95-v1.json",
|
||||
"sprite_json": "/mnt/data/cm95_pbf_production_v1_4_3/cm95_pbf_production_v1_4/config/sprite/semantic-sprite-20260808.json",
|
||||
"style_source_layer_count": 37,
|
||||
"sprite_key_count": 476,
|
||||
"rule_count": 81,
|
||||
"layer_failures": [],
|
||||
"sprite_failures": [],
|
||||
"failure_count": 0,
|
||||
"overall": "PASS"
|
||||
}
|
||||
@@ -4,18 +4,21 @@ build-backend = "setuptools.build_meta"
|
||||
|
||||
[project]
|
||||
name = "cm93-mysql-importer"
|
||||
version = "0.2.0"
|
||||
description = "CM93 complete high-precision importer and auditor for MySQL 5.7"
|
||||
version = "0.4.7"
|
||||
description = "CM93 complete high-precision importer/auditor and CM95-to-NavSea PBF frozen-pilot and production generator for MySQL 5.7"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.12,<3.13"
|
||||
dependencies = [
|
||||
"PyMySQL>=1.1,<2",
|
||||
"python-dotenv>=1.0,<2",
|
||||
"Shapely>=2.0,<3",
|
||||
"PyYAML>=6.0,<7",
|
||||
"mapbox-vector-tile>=2.2,<3",
|
||||
]
|
||||
|
||||
[project.scripts]
|
||||
cm93db = "cm93db.cli:main"
|
||||
cm95pbf = "cm95pbf.cli:main"
|
||||
|
||||
[tool.setuptools]
|
||||
package-dir = {"" = "src"}
|
||||
|
||||
@@ -1,3 +1,5 @@
|
||||
PyMySQL>=1.1,<2
|
||||
python-dotenv>=1.0,<2
|
||||
Shapely>=2.0,<3
|
||||
PyYAML>=6.0,<7
|
||||
mapbox-vector-tile>=2.2,<3
|
||||
|
||||
392
scripts/cm95_japan_continue_from_step8.ps1
Normal file
392
scripts/cm95_japan_continue_from_step8.ps1
Normal file
@@ -0,0 +1,392 @@
|
||||
param(
|
||||
[string]$ProjectRoot = "D:\React\cm93-mysql-importer-starter",
|
||||
[string]$SourceRoot = "D:\Ship\CM93V2\CM93JAPAN",
|
||||
[int]$DatasetId = 1,
|
||||
[int]$ExpectedCells = 1492,
|
||||
[int]$Workers = 4
|
||||
)
|
||||
|
||||
Set-StrictMode -Version Latest
|
||||
$ErrorActionPreference = "Stop"
|
||||
|
||||
function Step([string]$Text) {
|
||||
Write-Host ""
|
||||
Write-Host "======================================================================"
|
||||
Write-Host $Text
|
||||
Write-Host "======================================================================"
|
||||
}
|
||||
|
||||
function Run([string]$Label, [scriptblock]$Action) {
|
||||
Step $Label
|
||||
& $Action
|
||||
$Code = $LASTEXITCODE
|
||||
if ($null -ne $Code -and $Code -ne 0) {
|
||||
throw "$Label FAILED (exit=$Code)"
|
||||
}
|
||||
}
|
||||
|
||||
function StateCount($States, [string]$Name) {
|
||||
if ($null -eq $States) { return 0 }
|
||||
$P = $States.PSObject.Properties[$Name]
|
||||
if ($null -eq $P) { return 0 }
|
||||
return [int]$P.Value
|
||||
}
|
||||
|
||||
Set-Location $ProjectRoot
|
||||
|
||||
$Python = ".\.venv\Scripts\python.exe"
|
||||
$Cm95Pbf = ".\.venv\Scripts\cm95pbf.exe"
|
||||
|
||||
$Mapping = ".\config\mappings\cm95_to_navsea_v1.yaml"
|
||||
$Disposition = ".\config\mappings\cm95_gap_disposition_japan_dataset_1_v1.yaml"
|
||||
$Policy = ".\config\pbf\cm95_tile_policy_japan_full_detail_v1.yaml"
|
||||
|
||||
$GapAudit = ".\build\production\cm95_global_mapping_gap_audit_dataset_1.json"
|
||||
$Closure = ".\build\production\cm95_global_mapping_gap_closure_dataset_1_after_review.json"
|
||||
$MappingContract = ".\build\production\cm95_mapping_contract_check_japan_dataset_1.json"
|
||||
|
||||
$Manifest = ".\build\cm95_fid_manifest_japan_dataset_1_v1.sqlite"
|
||||
$Plan = ".\build\production\cm95_production_plan_japan_full_detail_v1.json"
|
||||
$PlanAudit = ".\build\production\cm95_production_plan_audit_japan_full_detail_v1.json"
|
||||
|
||||
foreach ($Path in @($Python,$Cm95Pbf,$Mapping,$Disposition,$Policy)) {
|
||||
if (-not (Test-Path $Path)) {
|
||||
throw "Missing required file: $Path"
|
||||
}
|
||||
}
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# 0. Verify v1.4.5 runtime
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
Run "STEP 0 - CM95 v1.4.5 preflight" {
|
||||
& $Python ".\tools\cm95_v1_4_5_preflight.py"
|
||||
}
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# 1. Verify fresh Japan Dataset in MySQL, no reimport
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
Step "STEP 1 - Verify existing fresh Japan Dataset"
|
||||
|
||||
$Tmp = Join-Path $env:TEMP ("cm95_japan_continue_" + $PID)
|
||||
Remove-Item $Tmp -Recurse -Force -ErrorAction SilentlyContinue
|
||||
New-Item -ItemType Directory -Path $Tmp | Out-Null
|
||||
|
||||
try {
|
||||
$Helper = Join-Path $Tmp "verify_dataset.py"
|
||||
|
||||
@'
|
||||
from pathlib import Path
|
||||
from dotenv import load_dotenv
|
||||
import os, sys, json, pymysql
|
||||
|
||||
project_root = Path(sys.argv[1]).resolve()
|
||||
dataset_id = int(sys.argv[2])
|
||||
expected_root = str(Path(sys.argv[3]).resolve())
|
||||
|
||||
load_dotenv(dotenv_path=project_root / ".env")
|
||||
|
||||
conn = pymysql.connect(
|
||||
host=os.getenv("CM93_DB_HOST", "127.0.0.1"),
|
||||
port=int(os.getenv("CM93_DB_PORT", "3306")),
|
||||
user=os.getenv("CM93_DB_USER", "root"),
|
||||
password=os.getenv("CM93_DB_PASSWORD", ""),
|
||||
database=os.getenv("CM93_DB_NAME", "cm93_chart"),
|
||||
charset=os.getenv("CM93_DB_CHARSET", "utf8mb4"),
|
||||
cursorclass=pymysql.cursors.DictCursor,
|
||||
)
|
||||
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(
|
||||
"""
|
||||
SELECT d.id,d.name,d.source_root,
|
||||
COUNT(c.id) cells,
|
||||
SUM(c.import_status='DONE') done_cells,
|
||||
SUM(c.import_status='FAILED') failed_cells
|
||||
FROM chart_dataset d
|
||||
LEFT JOIN chart_cell c ON c.dataset_id=d.id
|
||||
WHERE d.id=%s
|
||||
GROUP BY d.id,d.name,d.source_root
|
||||
""",
|
||||
(dataset_id,),
|
||||
)
|
||||
row = cur.fetchone()
|
||||
if not row:
|
||||
raise RuntimeError(f"dataset {dataset_id} not found")
|
||||
|
||||
actual_root = str(Path(row["source_root"]).resolve())
|
||||
|
||||
result = {
|
||||
"id": int(row["id"]),
|
||||
"name": row["name"],
|
||||
"source_root": actual_root,
|
||||
"cells": int(row["cells"] or 0),
|
||||
"done_cells": int(row["done_cells"] or 0),
|
||||
"failed_cells": int(row["failed_cells"] or 0),
|
||||
}
|
||||
|
||||
if actual_root.lower() != expected_root.lower():
|
||||
raise RuntimeError(
|
||||
f"source_root mismatch: {actual_root} != {expected_root}"
|
||||
)
|
||||
|
||||
print(json.dumps(result, ensure_ascii=False))
|
||||
finally:
|
||||
conn.close()
|
||||
'@ | Set-Content $Helper -Encoding UTF8
|
||||
|
||||
$DatasetText = (
|
||||
& $Python $Helper $ProjectRoot $DatasetId $SourceRoot |
|
||||
Out-String
|
||||
).Trim()
|
||||
|
||||
if ($LASTEXITCODE -ne 0) {
|
||||
throw "Dataset verification failed"
|
||||
}
|
||||
|
||||
$Dataset = $DatasetText | ConvertFrom-Json
|
||||
|
||||
if ([int]$Dataset.cells -ne $ExpectedCells -or
|
||||
[int]$Dataset.done_cells -ne $ExpectedCells -or
|
||||
[int]$Dataset.failed_cells -ne 0) {
|
||||
throw "Dataset state mismatch: $DatasetText"
|
||||
}
|
||||
|
||||
Write-Host $DatasetText
|
||||
|
||||
}
|
||||
finally {
|
||||
Remove-Item $Tmp -Recurse -Force -ErrorAction SilentlyContinue
|
||||
}
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# 2. Re-run gap audit and closure with the new dataset-specific disposition
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
Run "STEP 2A - Re-run global mapping gap audit" {
|
||||
& $Python ".\tools\cm95_global_mapping_gap_audit_v1.py" `
|
||||
--dataset-id $DatasetId `
|
||||
--mapping $Mapping `
|
||||
--output $GapAudit
|
||||
}
|
||||
|
||||
Run "STEP 2B - Close 25 new Japan gap variants" {
|
||||
& $Python ".\tools\cm95_global_mapping_gap_closure_audit_v2.py" `
|
||||
--gap-audit $GapAudit `
|
||||
--mapping $Mapping `
|
||||
--disposition $Disposition `
|
||||
--output $Closure
|
||||
}
|
||||
|
||||
$C = Get-Content $Closure -Raw | ConvertFrom-Json
|
||||
|
||||
if ([string]$C.overall -ne "PASS") {
|
||||
throw "Mapping gap closure is not PASS"
|
||||
}
|
||||
if (@($C.unclassified_variants).Count -ne 0) {
|
||||
throw "Unclassified variants remain"
|
||||
}
|
||||
if ([int]$C.observed_gap_variants -ne 165) {
|
||||
throw "Unexpected gap variant count: $($C.observed_gap_variants)"
|
||||
}
|
||||
if (@($C.pending_semantic_review).Count -ne 137) {
|
||||
throw "Unexpected pending variant count: $(@($C.pending_semantic_review).Count)"
|
||||
}
|
||||
if ([int]$C.pending_semantic_review_feature_rows -ne 90009) {
|
||||
throw "Unexpected pending rows: $($C.pending_semantic_review_feature_rows)"
|
||||
}
|
||||
|
||||
Write-Host ""
|
||||
Write-Host "Expected closure confirmed:"
|
||||
Write-Host " observed = 165"
|
||||
Write-Host " unclassified = 0"
|
||||
Write-Host " pending = 137"
|
||||
Write-Host " pending rows = 90009"
|
||||
Write-Host " overall = PASS"
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# 3. Static mapping/style/sprite contract
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
Run "STEP 3 - Mapping / Style / Sprite static contract" {
|
||||
& $Python ".\tools\cm95_mapping_contract_check_v1.py" `
|
||||
--mapping $Mapping `
|
||||
--style ".\config\style\style.navsea-delivery-full-semantic-unified-20260808-cm95-v1.json" `
|
||||
--sprite-json ".\config\sprite\semantic-sprite-20260808.json" `
|
||||
--output $MappingContract
|
||||
}
|
||||
|
||||
$MC = Get-Content $MappingContract -Raw | ConvertFrom-Json
|
||||
if ([string]$MC.overall -ne "PASS") {
|
||||
throw "Mapping/style/sprite contract failed"
|
||||
}
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# 4. Full-detail policy hard gate: G=7500 must be in z12
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
Step "STEP 4 - Japan full-detail policy check"
|
||||
|
||||
$PolicyObj = Get-Content $Policy -Raw |
|
||||
& $Python -c "import sys,yaml,json; print(json.dumps(yaml.safe_load(sys.stdin.read())))" |
|
||||
ConvertFrom-Json
|
||||
|
||||
# No multi-line Python is passed here; only a fixed one-line expression.
|
||||
$Enum12 = @($PolicyObj.enumeration_scales.'12')
|
||||
$Ladder12 = @($PolicyObj.scale_ladders.'12')
|
||||
|
||||
if (7500 -notin $Enum12 -or
|
||||
$Ladder12.Count -eq 0 -or
|
||||
[int]$Ladder12[0] -ne 7500) {
|
||||
throw "Japan full-detail policy does not prioritize G=7500 at z12"
|
||||
}
|
||||
|
||||
Write-Host "z12 enumeration : $($Enum12 -join ', ')"
|
||||
Write-Host "z12 ladder : $($Ladder12 -join ', ')"
|
||||
Write-Host "G=7500 gate : PASS"
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# 5. Reset PBF-side outputs only. MySQL remains untouched.
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
Step "STEP 5 - Reset PBF-side outputs only"
|
||||
|
||||
Remove-Item ".\build\releases" -Recurse -Force -ErrorAction SilentlyContinue
|
||||
Remove-Item $Manifest -Force -ErrorAction SilentlyContinue
|
||||
Remove-Item $Plan -Force -ErrorAction SilentlyContinue
|
||||
Remove-Item $PlanAudit -Force -ErrorAction SilentlyContinue
|
||||
|
||||
New-Item -ItemType Directory -Force -Path ".\build\releases" | Out-Null
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# 6. Fresh deterministic FID manifest
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
Run "STEP 6 - Build fresh FID manifest" {
|
||||
& $Cm95Pbf build-fid-manifest `
|
||||
--dataset-id $DatasetId `
|
||||
--manifest $Manifest `
|
||||
--rebuild-fid-manifest
|
||||
}
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# 7. Fresh production plan using G=7500-aware z12 policy
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
Run "STEP 7A - plan-production z0-z12 Japan full detail" {
|
||||
& $Cm95Pbf plan-production `
|
||||
--dataset-id $DatasetId `
|
||||
--zooms 0-12 `
|
||||
--profile delivery `
|
||||
--mapping $Mapping `
|
||||
--policy $Policy `
|
||||
--manifest $Manifest `
|
||||
--output $Plan
|
||||
}
|
||||
|
||||
Run "STEP 7B - production plan audit" {
|
||||
& $Python ".\tools\cm95_production_plan_audit_v1.py" `
|
||||
--plan $Plan `
|
||||
--expected-zooms 0-12 `
|
||||
--output $PlanAudit
|
||||
}
|
||||
|
||||
$PA = Get-Content $PlanAudit -Raw | ConvertFrom-Json
|
||||
if ([string]$PA.overall -ne "PASS") {
|
||||
throw "Production plan audit failed"
|
||||
}
|
||||
|
||||
$PlanObj = Get-Content $Plan -Raw | ConvertFrom-Json
|
||||
$ReleaseId = [string]$PlanObj.release_id
|
||||
|
||||
Write-Host ""
|
||||
Write-Host "Plan ID : $($PlanObj.plan_id)"
|
||||
Write-Host "Release ID : $ReleaseId"
|
||||
Write-Host "Jobs : $($PlanObj.job_count)"
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# 8. Full production build
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
Run "STEP 8 - Full PBF production build" {
|
||||
& $Cm95Pbf build-production `
|
||||
--plan $Plan `
|
||||
--release-root ".\build\releases" `
|
||||
--workers $Workers `
|
||||
--max-attempts 3
|
||||
}
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# 9. Status
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
Step "STEP 9 - Production status"
|
||||
|
||||
$StatusText = (
|
||||
& $Cm95Pbf status-production `
|
||||
--plan $Plan `
|
||||
--release-root ".\build\releases" |
|
||||
Out-String
|
||||
).Trim()
|
||||
|
||||
if ($LASTEXITCODE -ne 0) {
|
||||
throw "status-production failed"
|
||||
}
|
||||
|
||||
Write-Host $StatusText
|
||||
|
||||
$S = $StatusText | ConvertFrom-Json
|
||||
|
||||
$Pass = StateCount $S.states "PASS"
|
||||
$Fail = StateCount $S.states "FAILED"
|
||||
$Pending = StateCount $S.states "PENDING"
|
||||
$Running = StateCount $S.states "RUNNING"
|
||||
|
||||
if ($Pass -ne [int]$S.jobs -or
|
||||
$Fail -ne 0 -or
|
||||
$Pending -ne 0 -or
|
||||
$Running -ne 0) {
|
||||
throw "Production state gate failed"
|
||||
}
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# 10. Final release gate
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
Run "STEP 10 - Finalize production release" {
|
||||
& $Cm95Pbf finalize-production `
|
||||
--plan $Plan `
|
||||
--release-root ".\build\releases" `
|
||||
--style ".\config\style\style.navsea-delivery-full-semantic-unified-20260808-cm95-v1.json" `
|
||||
--sprite-json ".\config\sprite\semantic-sprite-20260808.json" `
|
||||
--gap-disposition $Disposition
|
||||
}
|
||||
|
||||
$ReleaseManifest = ".\build\releases\$ReleaseId\release_manifest_v1.json"
|
||||
|
||||
if (-not (Test-Path $ReleaseManifest)) {
|
||||
throw "Release manifest missing: $ReleaseManifest"
|
||||
}
|
||||
|
||||
$Final = Get-Content $ReleaseManifest -Raw | ConvertFrom-Json
|
||||
|
||||
if ([string]$Final.status -ne "PASS") {
|
||||
throw "Final release status is not PASS"
|
||||
}
|
||||
|
||||
Step "JAPAN CONTINUATION COMPLETE / PASS"
|
||||
|
||||
Write-Host "Dataset ID : $DatasetId"
|
||||
Write-Host "Release ID : $ReleaseId"
|
||||
Write-Host "Jobs : $($S.jobs)"
|
||||
Write-Host "PBF files : $($S.pbf_files)"
|
||||
Write-Host "Output features : $($S.output_features)"
|
||||
Write-Host "Semantic status : $($Final.semantic_completeness)"
|
||||
Write-Host "Pending variants : 137"
|
||||
Write-Host "Pending rows : 90009"
|
||||
Write-Host ""
|
||||
Write-Host "Web test:"
|
||||
Write-Host " cd `"$ProjectRoot`""
|
||||
Write-Host " & `".\.venv\Scripts\python.exe`" .\web\cm95_web.py --release-id `"$ReleaseId`""
|
||||
946
scripts/cm95_japan_full_rebuild_pipeline.ps1
Normal file
946
scripts/cm95_japan_full_rebuild_pipeline.ps1
Normal file
@@ -0,0 +1,946 @@
|
||||
param(
|
||||
[string]$ProjectRoot = "D:\React\cm93-mysql-importer-starter",
|
||||
[string]$SourceRoot = "D:\Ship\CM93V2\CM93JAPAN",
|
||||
[int]$ExpectedCells = 1492,
|
||||
[int]$Workers = 4,
|
||||
[switch]$Force
|
||||
)
|
||||
|
||||
# CM95 Japan Full Rebuild Pipeline v2
|
||||
#
|
||||
# 从零重建：
|
||||
# CM93 source -> fresh MySQL -> audit -> mapping gates
|
||||
# -> fresh FID manifest -> fresh production plan
|
||||
# -> full PBF build -> final release gate
|
||||
#
|
||||
# Windows 11 / PowerShell
|
||||
#
|
||||
# 破坏性范围：
|
||||
# - DROP .env 中 CM93_DB_NAME 整个数据库
|
||||
# - 删除旧 build\production
|
||||
# - 删除旧 build\releases
|
||||
# - 删除旧 build\pbf
|
||||
# - 删除旧 build\pbf-reports
|
||||
# - 删除旧 build\cm95_fid_manifest*.sqlite*
|
||||
#
|
||||
# 不会删除：
|
||||
# - D:\Ship\CM93V2\CM93JAPAN
|
||||
# - src\
|
||||
# - config\
|
||||
# - web\
|
||||
# - logs\ 历史文件
|
||||
#
|
||||
# v2 修正：
|
||||
# - 禁止 python.exe -c 多行代码，避免 Windows/PowerShell 引号损坏
|
||||
# - 临时 Python helper 一律落盘执行
|
||||
# - audit JSON gate 对齐当前 cm93db AuditResult
|
||||
# - geometry_validity_issues 保持 informational
|
||||
# - status JSON 使用 Out-String 后再 ConvertFrom-Json
|
||||
# - 生成当前 Dataset 专属 semantic disposition summary
|
||||
#
|
||||
# 如果新 Dataset 出现未分类 mapping gap，会在 PBF build 前 STOP。
|
||||
|
||||
Set-StrictMode -Version Latest
|
||||
$ErrorActionPreference = "Stop"
|
||||
|
||||
function Write-Step {
|
||||
param([string]$Text)
|
||||
Write-Host ""
|
||||
Write-Host "======================================================================"
|
||||
Write-Host $Text
|
||||
Write-Host "======================================================================"
|
||||
}
|
||||
|
||||
function Invoke-Checked {
|
||||
param(
|
||||
[string]$Label,
|
||||
[scriptblock]$Action
|
||||
)
|
||||
|
||||
Write-Step $Label
|
||||
|
||||
& $Action
|
||||
$ExitCode = $LASTEXITCODE
|
||||
|
||||
if ($null -ne $ExitCode -and $ExitCode -ne 0) {
|
||||
throw "$Label FAILED (exit code=$ExitCode)"
|
||||
}
|
||||
}
|
||||
|
||||
function Remove-PathIfExists {
|
||||
param([string]$PathValue)
|
||||
|
||||
if (Test-Path $PathValue) {
|
||||
Write-Host "DELETE: $PathValue"
|
||||
Remove-Item $PathValue -Recurse -Force
|
||||
}
|
||||
}
|
||||
|
||||
function Get-StateCount {
|
||||
param(
|
||||
[object]$States,
|
||||
[string]$Name
|
||||
)
|
||||
|
||||
if ($null -eq $States) {
|
||||
return 0
|
||||
}
|
||||
|
||||
$Prop = $States.PSObject.Properties[$Name]
|
||||
if ($null -eq $Prop) {
|
||||
return 0
|
||||
}
|
||||
|
||||
return [int]$Prop.Value
|
||||
}
|
||||
|
||||
if (-not (Test-Path $ProjectRoot -PathType Container)) {
|
||||
throw "ProjectRoot 不存在: $ProjectRoot"
|
||||
}
|
||||
|
||||
if (-not (Test-Path $SourceRoot -PathType Container)) {
|
||||
throw "SourceRoot 不存在: $SourceRoot"
|
||||
}
|
||||
|
||||
Set-Location $ProjectRoot
|
||||
|
||||
$ProjectRoot = (Resolve-Path $ProjectRoot).Path
|
||||
$SourceRoot = (Resolve-Path $SourceRoot).Path
|
||||
|
||||
$Python = Join-Path $ProjectRoot ".venv\Scripts\python.exe"
|
||||
$Cm93Db = Join-Path $ProjectRoot ".venv\Scripts\cm93db.exe"
|
||||
$Cm95Pbf = Join-Path $ProjectRoot ".venv\Scripts\cm95pbf.exe"
|
||||
$EnvPath = Join-Path $ProjectRoot ".env"
|
||||
|
||||
foreach ($RequiredExe in @($Python, $Cm93Db, $Cm95Pbf)) {
|
||||
if (-not (Test-Path $RequiredExe -PathType Leaf)) {
|
||||
throw "缺少运行文件: $RequiredExe"
|
||||
}
|
||||
}
|
||||
|
||||
if (-not (Test-Path $EnvPath -PathType Leaf)) {
|
||||
throw "缺少项目 .env: $EnvPath"
|
||||
}
|
||||
|
||||
# 临时 helper 放系统 TEMP，不受 build 清理影响。
|
||||
$TempRoot = Join-Path $env:TEMP ("cm95_japan_pipeline_v2_" + $PID)
|
||||
|
||||
Remove-Item $TempRoot -Recurse -Force -ErrorAction SilentlyContinue
|
||||
New-Item -ItemType Directory -Path $TempRoot -Force | Out-Null
|
||||
|
||||
try {
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# STEP 0 - Source hard gate
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
Write-Step "STEP 0 - Japan CM93 源目录检查"
|
||||
|
||||
$RequiredRegions = @(
|
||||
"03300360",
|
||||
"03300420",
|
||||
"03900360",
|
||||
"03900420"
|
||||
)
|
||||
|
||||
$ActualRegions = @(
|
||||
Get-ChildItem $SourceRoot -Directory -ErrorAction Stop |
|
||||
Where-Object { $_.Name -match '^\d{8}$' } |
|
||||
ForEach-Object { $_.Name } |
|
||||
Sort-Object
|
||||
)
|
||||
|
||||
$MissingRegions = @(
|
||||
$RequiredRegions |
|
||||
Where-Object { $_ -notin $ActualRegions }
|
||||
)
|
||||
|
||||
$ExtraRegions = @(
|
||||
$ActualRegions |
|
||||
Where-Object { $_ -notin $RequiredRegions }
|
||||
)
|
||||
|
||||
Write-Host "SourceRoot:"
|
||||
Write-Host " $SourceRoot"
|
||||
Write-Host ""
|
||||
Write-Host "Numeric regions:"
|
||||
$ActualRegions | ForEach-Object { Write-Host " $_" }
|
||||
|
||||
if ($MissingRegions.Count -gt 0) {
|
||||
throw "缺少 Japan 必需区域: $($MissingRegions -join ', ')"
|
||||
}
|
||||
|
||||
if ($ExtraRegions.Count -gt 0) {
|
||||
throw "发现 Japan 工作集之外的数字区域，停止: $($ExtraRegions -join ', ')"
|
||||
}
|
||||
|
||||
if (-not (Test-Path (Join-Path $SourceRoot "CM93OBJ.DIC"))) {
|
||||
throw "缺少 CM93OBJ.DIC"
|
||||
}
|
||||
|
||||
$HasAttrDic =
|
||||
(Test-Path (Join-Path $SourceRoot "CM93ATTR.DIC")) -or
|
||||
(Test-Path (Join-Path $SourceRoot "ATTRLUT.DIC"))
|
||||
|
||||
if (-not $HasAttrDic) {
|
||||
throw "缺少 CM93ATTR.DIC / ATTRLUT.DIC"
|
||||
}
|
||||
|
||||
Write-Host ""
|
||||
Write-Host "Japan source region gate: PASS"
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# STEP 1 - Current code baseline + read-only checks
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
Invoke-Checked "STEP 1A - pip install -e ." {
|
||||
& $Python -m pip install -e .
|
||||
}
|
||||
|
||||
if (-not (Test-Path ".\tools\cm95_v1_4_5_preflight.py")) {
|
||||
throw "缺少 tools\cm95_v1_4_5_preflight.py；当前项目不是 v1.4.5 baseline"
|
||||
}
|
||||
|
||||
Invoke-Checked "STEP 1B - CM95 v1.4.5 preflight" {
|
||||
& $Python ".\tools\cm95_v1_4_5_preflight.py"
|
||||
}
|
||||
|
||||
Invoke-Checked "STEP 1C - CM93 scan" {
|
||||
& $Cm93Db scan $SourceRoot
|
||||
}
|
||||
|
||||
Invoke-Checked "STEP 1D - CM93 dictionaries" {
|
||||
& $Cm93Db inspect-dicts $SourceRoot
|
||||
}
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# STEP 2 - Read DB config with a real helper .py file
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
$ReadDbInfoPy = Join-Path $TempRoot "read_db_info.py"
|
||||
|
||||
@'
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
env_path = Path(sys.argv[1]).resolve()
|
||||
load_dotenv(dotenv_path=env_path)
|
||||
|
||||
result = {
|
||||
"host": os.getenv("CM93_DB_HOST", "127.0.0.1"),
|
||||
"port": int(os.getenv("CM93_DB_PORT", "3306")),
|
||||
"database": (os.getenv("CM93_DB_NAME", "cm93_chart") or "").strip(),
|
||||
"user": os.getenv("CM93_DB_USER", "root"),
|
||||
"charset": os.getenv("CM93_DB_CHARSET", "utf8mb4"),
|
||||
}
|
||||
|
||||
if not result["database"]:
|
||||
raise SystemExit("CM93_DB_NAME is empty")
|
||||
|
||||
print(json.dumps(result, ensure_ascii=False))
|
||||
'@ | Set-Content $ReadDbInfoPy -Encoding UTF8
|
||||
|
||||
$DbInfoText = (& $Python $ReadDbInfoPy $EnvPath | Out-String).Trim()
|
||||
|
||||
if ($LASTEXITCODE -ne 0 -or [string]::IsNullOrWhiteSpace($DbInfoText)) {
|
||||
throw "无法读取数据库配置"
|
||||
}
|
||||
|
||||
$DbInfo = $DbInfoText | ConvertFrom-Json
|
||||
$DbName = [string]$DbInfo.database
|
||||
|
||||
$ForbiddenDbNames = @(
|
||||
"mysql",
|
||||
"information_schema",
|
||||
"performance_schema",
|
||||
"sys"
|
||||
)
|
||||
|
||||
if ($DbName.ToLowerInvariant() -in $ForbiddenDbNames) {
|
||||
throw "拒绝删除系统数据库: $DbName"
|
||||
}
|
||||
|
||||
Write-Step "STEP 2 - DESTRUCTIVE RESET CONFIRMATION"
|
||||
|
||||
Write-Host "将永久删除整个 MySQL database:"
|
||||
Write-Host " $DbName"
|
||||
Write-Host ""
|
||||
Write-Host "数据库服务器:"
|
||||
Write-Host " $($DbInfo.host):$($DbInfo.port)"
|
||||
Write-Host ""
|
||||
Write-Host "也会删除旧 CM95 build/release 产物。"
|
||||
Write-Host ""
|
||||
Write-Host "不会删除 CM93 source:"
|
||||
Write-Host " $SourceRoot"
|
||||
|
||||
if (-not $Force) {
|
||||
$Expected = "DELETE $DbName"
|
||||
$Answer = Read-Host "请输入 [$Expected] 继续"
|
||||
|
||||
if ($Answer -ne $Expected) {
|
||||
throw "用户取消。"
|
||||
}
|
||||
}
|
||||
else {
|
||||
Write-Host "-Force 已指定，跳过交互确认。"
|
||||
}
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# STEP 3 - Delete old generated artifacts
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
Write-Step "STEP 3 - 删除旧 CM95 build/release 产物"
|
||||
|
||||
Remove-PathIfExists (Join-Path $ProjectRoot "build\production")
|
||||
Remove-PathIfExists (Join-Path $ProjectRoot "build\releases")
|
||||
Remove-PathIfExists (Join-Path $ProjectRoot "build\pbf")
|
||||
Remove-PathIfExists (Join-Path $ProjectRoot "build\pbf-reports")
|
||||
|
||||
$BuildRoot = Join-Path $ProjectRoot "build"
|
||||
|
||||
if (Test-Path $BuildRoot) {
|
||||
Get-ChildItem $BuildRoot -File -Filter "cm95_fid_manifest*.sqlite*" -ErrorAction SilentlyContinue |
|
||||
ForEach-Object {
|
||||
Write-Host "DELETE: $($_.FullName)"
|
||||
Remove-Item $_.FullName -Force
|
||||
}
|
||||
}
|
||||
|
||||
New-Item -ItemType Directory -Force -Path ".\build\production" | Out-Null
|
||||
New-Item -ItemType Directory -Force -Path ".\logs" | Out-Null
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# STEP 4 - DROP database using helper file, then let cm93db recreate schema
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
$DropDbPy = Join-Path $TempRoot "drop_cm93_database.py"
|
||||
|
||||
@'
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
import re
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
import pymysql
|
||||
from dotenv import load_dotenv
|
||||
|
||||
env_path = Path(sys.argv[1]).resolve()
|
||||
load_dotenv(dotenv_path=env_path)
|
||||
|
||||
host = os.getenv("CM93_DB_HOST", "127.0.0.1")
|
||||
port = int(os.getenv("CM93_DB_PORT", "3306"))
|
||||
user = os.getenv("CM93_DB_USER", "root")
|
||||
password = os.getenv("CM93_DB_PASSWORD", "")
|
||||
database = (os.getenv("CM93_DB_NAME", "cm93_chart") or "").strip()
|
||||
charset = os.getenv("CM93_DB_CHARSET", "utf8mb4")
|
||||
|
||||
if not database:
|
||||
raise RuntimeError("CM93_DB_NAME is empty")
|
||||
|
||||
if database.lower() in {
|
||||
"mysql",
|
||||
"information_schema",
|
||||
"performance_schema",
|
||||
"sys",
|
||||
}:
|
||||
raise RuntimeError(f"refuse to drop system database: {database}")
|
||||
|
||||
conn = pymysql.connect(
|
||||
host=host,
|
||||
port=port,
|
||||
user=user,
|
||||
password=password,
|
||||
charset=charset,
|
||||
autocommit=False,
|
||||
cursorclass=pymysql.cursors.DictCursor,
|
||||
)
|
||||
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute("SELECT VERSION() AS v")
|
||||
version = str(cur.fetchone()["v"])
|
||||
|
||||
match = re.match(r"^(\d+)\.(\d+)\.(\d+)", version)
|
||||
if not match or tuple(map(int, match.groups()[:2])) != (5, 7):
|
||||
raise RuntimeError(
|
||||
f"expected MySQL 5.7.x, got {version}; refusing destructive reset"
|
||||
)
|
||||
|
||||
safe = database.replace("`", "``")
|
||||
cur.execute(f"DROP DATABASE IF EXISTS `{safe}`")
|
||||
|
||||
conn.commit()
|
||||
print(f"DROP_DATABASE_OK database={database} mysql={version}")
|
||||
|
||||
finally:
|
||||
conn.close()
|
||||
'@ | Set-Content $DropDbPy -Encoding UTF8
|
||||
|
||||
Invoke-Checked "STEP 4A - DROP old database" {
|
||||
& $Python $DropDbPy $EnvPath
|
||||
}
|
||||
|
||||
Invoke-Checked "STEP 4B - CREATE database + initialize schema" {
|
||||
& $Cm93Db db-init --create-database
|
||||
}
|
||||
|
||||
Invoke-Checked "STEP 4C - DB contract check" {
|
||||
& $Cm93Db db-check
|
||||
}
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# STEP 5 - Full import on fresh DB
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
Invoke-Checked "STEP 5 - 全量 CM93 Japan import（fresh DB）" {
|
||||
& $Cm93Db import $SourceRoot --fail-fast
|
||||
}
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# STEP 6 - Full audit
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
$Timestamp = Get-Date -Format "yyyyMMdd_HHmmss"
|
||||
$AuditReport = ".\logs\cm93_audit_japan_full_rebuild_$Timestamp.json"
|
||||
|
||||
Invoke-Checked "STEP 6 - CM93 full audit + geometry validation" {
|
||||
& $Cm93Db audit `
|
||||
$SourceRoot `
|
||||
--validate-geometry `
|
||||
--report $AuditReport
|
||||
}
|
||||
|
||||
$Audit = Get-Content $AuditReport -Raw | ConvertFrom-Json
|
||||
|
||||
if (-not [bool]$Audit.passed) {
|
||||
throw "CM93 audit report passed=false；检查 $AuditReport"
|
||||
}
|
||||
|
||||
$AuditHardFailures = @(
|
||||
[int64]$Audit.source_parse_failed,
|
||||
[int64]$Audit.db_missing_cells,
|
||||
[int64]$Audit.db_not_done_cells,
|
||||
[int64]$Audit.count_mismatches,
|
||||
[int64]$Audit.hash_mismatches,
|
||||
[int64]$Audit.raw_preservation_mismatches,
|
||||
[int64]$Audit.unknown_objects,
|
||||
[int64]$Audit.unknown_attributes,
|
||||
[int64]$Audit.precision_failed
|
||||
)
|
||||
|
||||
if (($AuditHardFailures | Measure-Object -Sum).Sum -ne 0) {
|
||||
throw "CM93 audit hard gate failed；检查 $AuditReport"
|
||||
}
|
||||
|
||||
if ($ExpectedCells -gt 0 -and [int]$Audit.source_cells -ne $ExpectedCells) {
|
||||
throw "Source cell count 不符合当前 Japan baseline: $($Audit.source_cells) != $ExpectedCells"
|
||||
}
|
||||
|
||||
Write-Host ""
|
||||
Write-Host "CM93 AUDIT HARD GATE: PASS"
|
||||
Write-Host "Source cells : $($Audit.source_cells)"
|
||||
Write-Host "Geometry validity issues : $($Audit.geometry_validity_issues) (informational)"
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# STEP 7 - Resolve fresh Dataset
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
$DatasetInfoPy = Join-Path $TempRoot "dataset_info.py"
|
||||
|
||||
@'
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
import pymysql
|
||||
from dotenv import load_dotenv
|
||||
|
||||
env_path = Path(sys.argv[1]).resolve()
|
||||
source_root = str(Path(sys.argv[2]).resolve())
|
||||
|
||||
load_dotenv(dotenv_path=env_path)
|
||||
|
||||
conn = pymysql.connect(
|
||||
host=os.getenv("CM93_DB_HOST", "127.0.0.1"),
|
||||
port=int(os.getenv("CM93_DB_PORT", "3306")),
|
||||
user=os.getenv("CM93_DB_USER", "root"),
|
||||
password=os.getenv("CM93_DB_PASSWORD", ""),
|
||||
database=os.getenv("CM93_DB_NAME", "cm93_chart"),
|
||||
charset=os.getenv("CM93_DB_CHARSET", "utf8mb4"),
|
||||
cursorclass=pymysql.cursors.DictCursor,
|
||||
)
|
||||
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute("SELECT COUNT(*) AS n FROM chart_dataset")
|
||||
dataset_count = int(cur.fetchone()["n"])
|
||||
|
||||
cur.execute(
|
||||
"""
|
||||
SELECT
|
||||
d.id,
|
||||
d.name,
|
||||
d.source_root,
|
||||
COUNT(c.id) AS cells,
|
||||
SUM(c.import_status='DONE') AS done_cells,
|
||||
SUM(c.import_status='FAILED') AS failed_cells
|
||||
FROM chart_dataset d
|
||||
LEFT JOIN chart_cell c
|
||||
ON c.dataset_id=d.id
|
||||
WHERE d.source_type='CM93'
|
||||
AND d.source_root=%s
|
||||
GROUP BY d.id,d.name,d.source_root
|
||||
""",
|
||||
(source_root,),
|
||||
)
|
||||
rows = cur.fetchall()
|
||||
|
||||
if dataset_count != 1:
|
||||
raise RuntimeError(
|
||||
f"fresh DB expected exactly 1 dataset, got {dataset_count}"
|
||||
)
|
||||
|
||||
if len(rows) != 1:
|
||||
raise RuntimeError(
|
||||
f"expected one dataset for source_root={source_root}, got {len(rows)}"
|
||||
)
|
||||
|
||||
row = rows[0]
|
||||
|
||||
print(
|
||||
json.dumps(
|
||||
{
|
||||
"id": int(row["id"]),
|
||||
"name": row["name"],
|
||||
"source_root": row["source_root"],
|
||||
"cells": int(row["cells"] or 0),
|
||||
"done_cells": int(row["done_cells"] or 0),
|
||||
"failed_cells": int(row["failed_cells"] or 0),
|
||||
},
|
||||
ensure_ascii=False,
|
||||
)
|
||||
)
|
||||
|
||||
finally:
|
||||
conn.close()
|
||||
'@ | Set-Content $DatasetInfoPy -Encoding UTF8
|
||||
|
||||
$DatasetText = (& $Python $DatasetInfoPy $EnvPath $SourceRoot | Out-String).Trim()
|
||||
|
||||
if ($LASTEXITCODE -ne 0 -or [string]::IsNullOrWhiteSpace($DatasetText)) {
|
||||
throw "无法读取 fresh Dataset 信息"
|
||||
}
|
||||
|
||||
$Dataset = $DatasetText | ConvertFrom-Json
|
||||
$DatasetId = [int]$Dataset.id
|
||||
|
||||
if ([int]$Dataset.cells -ne [int]$Audit.source_cells) {
|
||||
throw "DB cell count != audit source_cells ($($Dataset.cells) != $($Audit.source_cells))"
|
||||
}
|
||||
|
||||
if ([int]$Dataset.done_cells -ne [int]$Audit.source_cells) {
|
||||
throw "不是所有 Cell 都 DONE"
|
||||
}
|
||||
|
||||
if ([int]$Dataset.failed_cells -ne 0) {
|
||||
throw "存在 FAILED Cell"
|
||||
}
|
||||
|
||||
Write-Step "STEP 7 - Fresh Dataset confirmed"
|
||||
|
||||
Write-Host "Dataset ID : $DatasetId"
|
||||
Write-Host "Name : $($Dataset.name)"
|
||||
Write-Host "SourceRoot : $($Dataset.source_root)"
|
||||
Write-Host "Cells : $($Dataset.cells)"
|
||||
Write-Host "DONE : $($Dataset.done_cells)"
|
||||
Write-Host "FAILED : $($Dataset.failed_cells)"
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# STEP 8 - Dataset-aware mapping gates
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
$GapAudit = ".\build\production\cm95_global_mapping_gap_audit_dataset_${DatasetId}.json"
|
||||
$GapClosure = ".\build\production\cm95_global_mapping_gap_closure_dataset_${DatasetId}.json"
|
||||
$MappingContract = ".\build\production\cm95_mapping_contract_check_dataset_${DatasetId}.json"
|
||||
|
||||
Invoke-Checked "STEP 8A - Global mapping gap audit (fresh Dataset)" {
|
||||
& $Python ".\tools\cm95_global_mapping_gap_audit_v1.py" `
|
||||
--dataset-id $DatasetId `
|
||||
--mapping ".\config\mappings\cm95_to_navsea_v1.yaml" `
|
||||
--output $GapAudit
|
||||
}
|
||||
|
||||
Invoke-Checked "STEP 8B - Mapping gap classification closure" {
|
||||
& $Python ".\tools\cm95_global_mapping_gap_closure_audit_v2.py" `
|
||||
--gap-audit $GapAudit `
|
||||
--mapping ".\config\mappings\cm95_to_navsea_v1.yaml" `
|
||||
--disposition ".\config\mappings\cm95_gap_disposition_v1.yaml" `
|
||||
--output $GapClosure
|
||||
}
|
||||
|
||||
$Closure = Get-Content $GapClosure -Raw | ConvertFrom-Json
|
||||
|
||||
if ([string]$Closure.overall -ne "PASS") {
|
||||
Write-Host ""
|
||||
Write-Host "NEW DATASET MAPPING GATE STOPPED PIPELINE."
|
||||
Write-Host "新 Japan Dataset 有当前 disposition 尚未收口的 gap variant。"
|
||||
Write-Host ""
|
||||
Write-Host "检查:"
|
||||
Write-Host " $GapAudit"
|
||||
Write-Host " $GapClosure"
|
||||
throw "Mapping gap closure FAIL；PBF generation intentionally stopped."
|
||||
}
|
||||
|
||||
Invoke-Checked "STEP 8C - Mapping / Style / Sprite static contract" {
|
||||
& $Python ".\tools\cm95_mapping_contract_check_v1.py" `
|
||||
--mapping ".\config\mappings\cm95_to_navsea_v1.yaml" `
|
||||
--style ".\config\style\style.navsea-delivery-full-semantic-unified-20260808-cm95-v1.json" `
|
||||
--sprite-json ".\config\sprite\semantic-sprite-20260808.json" `
|
||||
--output $MappingContract
|
||||
}
|
||||
|
||||
$MapContract = Get-Content $MappingContract -Raw | ConvertFrom-Json
|
||||
|
||||
if ([string]$MapContract.overall -ne "PASS") {
|
||||
throw "Mapping / Style / Sprite static contract FAIL"
|
||||
}
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# STEP 8D - Build Dataset-specific effective gap disposition
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
$EffectiveDisposition = ".\build\production\cm95_gap_disposition_dataset_${DatasetId}_effective.yaml"
|
||||
$EffectiveDispositionPy = Join-Path $TempRoot "build_effective_disposition.py"
|
||||
|
||||
@'
|
||||
from __future__ import annotations
|
||||
|
||||
import copy
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
import yaml
|
||||
|
||||
template_path = Path(sys.argv[1])
|
||||
gap_path = Path(sys.argv[2])
|
||||
closure_path = Path(sys.argv[3])
|
||||
dataset_id = int(sys.argv[4])
|
||||
out_path = Path(sys.argv[5])
|
||||
|
||||
template = yaml.safe_load(template_path.read_text(encoding="utf-8")) or {}
|
||||
gap = yaml.safe_load(gap_path.read_text(encoding="utf-8")) or {}
|
||||
closure = yaml.safe_load(closure_path.read_text(encoding="utf-8")) or {}
|
||||
|
||||
template_by_key = {
|
||||
(
|
||||
str(v.get("object_class") or ""),
|
||||
str(v.get("geometry_type") or "").upper(),
|
||||
): v
|
||||
for v in template.get("variants") or []
|
||||
if isinstance(v, dict)
|
||||
}
|
||||
|
||||
effective_variants = []
|
||||
|
||||
for item in gap.get("gap_variants") or []:
|
||||
key = (
|
||||
str(item.get("object_class") or ""),
|
||||
str(item.get("geometry_type") or "").upper(),
|
||||
)
|
||||
|
||||
src = template_by_key.get(key)
|
||||
if src is None:
|
||||
raise RuntimeError(
|
||||
f"unclassified gap variant while building effective disposition: {key}"
|
||||
)
|
||||
|
||||
row = copy.deepcopy(src)
|
||||
row["object_class"] = key[0]
|
||||
row["geometry_type"] = key[1]
|
||||
row["feature_count"] = int(item.get("feature_count") or 0)
|
||||
|
||||
if item.get("object_class_id") is not None:
|
||||
row["object_class_id"] = item.get("object_class_id")
|
||||
|
||||
if item.get("dictionary_description") is not None:
|
||||
row["dictionary_description"] = item.get("dictionary_description")
|
||||
|
||||
if item.get("gap_reason") is not None:
|
||||
row["gap_reason_v1"] = item.get("gap_reason")
|
||||
|
||||
effective_variants.append(row)
|
||||
|
||||
pending = [
|
||||
v for v in effective_variants
|
||||
if str(v.get("disposition") or "")
|
||||
== "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW"
|
||||
]
|
||||
|
||||
delivery = [
|
||||
v for v in effective_variants
|
||||
if str(v.get("disposition") or "")
|
||||
== "DELIVERY_MAPPED_V1_4_3"
|
||||
]
|
||||
|
||||
existing = [
|
||||
v for v in effective_variants
|
||||
if str(v.get("disposition") or "").startswith("EXISTING_")
|
||||
]
|
||||
|
||||
result = {
|
||||
"schema": "navsea.cm95.gap-disposition/v1",
|
||||
"version": "v1.4.5-dataset-effective",
|
||||
"dataset_id": dataset_id,
|
||||
"source_audit": str(gap_path),
|
||||
"policy": (
|
||||
"Dataset-specific effective disposition generated from "
|
||||
"cm95_gap_disposition_v1.yaml after current-dataset closure PASS."
|
||||
),
|
||||
"summary": {
|
||||
"observed_gap_variants": len(effective_variants),
|
||||
"delivery_mapped_v1_4_3": len(delivery),
|
||||
"existing_explicit_non_delivery": len(existing),
|
||||
"pending_semantic_review": len(pending),
|
||||
"delivery_mapped_v1_4_3_feature_rows": sum(
|
||||
int(v.get("feature_count") or 0) for v in delivery
|
||||
),
|
||||
"existing_explicit_non_delivery_feature_rows": sum(
|
||||
int(v.get("feature_count") or 0) for v in existing
|
||||
),
|
||||
"pending_semantic_review_feature_rows": sum(
|
||||
int(v.get("feature_count") or 0) for v in pending
|
||||
),
|
||||
},
|
||||
"variants": effective_variants,
|
||||
}
|
||||
|
||||
out_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
out_path.write_text(
|
||||
yaml.safe_dump(
|
||||
result,
|
||||
allow_unicode=True,
|
||||
sort_keys=False,
|
||||
width=120,
|
||||
),
|
||||
encoding="utf-8",
|
||||
)
|
||||
|
||||
print(f"Effective disposition: {out_path}")
|
||||
print(f"Observed gap variants : {len(effective_variants)}")
|
||||
print(f"Pending review : {len(pending)}")
|
||||
print(
|
||||
"Pending rows : "
|
||||
f"{result['summary']['pending_semantic_review_feature_rows']}"
|
||||
)
|
||||
'@ | Set-Content $EffectiveDispositionPy -Encoding UTF8
|
||||
|
||||
Invoke-Checked "STEP 8D - Dataset-specific semantic disposition summary" {
|
||||
& $Python $EffectiveDispositionPy `
|
||||
".\config\mappings\cm95_gap_disposition_v1.yaml" `
|
||||
$GapAudit `
|
||||
$GapClosure `
|
||||
$DatasetId `
|
||||
$EffectiveDisposition
|
||||
}
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# STEP 9 - Fresh deterministic FID manifest
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
$Manifest = ".\build\cm95_fid_manifest_dataset_${DatasetId}_v1.sqlite"
|
||||
|
||||
Invoke-Checked "STEP 9 - Rebuild FID manifest from zero" {
|
||||
& $Cm95Pbf build-fid-manifest `
|
||||
--dataset-id $DatasetId `
|
||||
--manifest $Manifest `
|
||||
--rebuild-fid-manifest
|
||||
}
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# STEP 10 - Fresh immutable production plan
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
$Plan = ".\build\production\cm95_production_plan_dataset_${DatasetId}_v1_4_5.json"
|
||||
$PlanAudit = ".\build\production\cm95_production_plan_audit_dataset_${DatasetId}_v1_4_5.json"
|
||||
|
||||
Invoke-Checked "STEP 10A - plan-production z0-z12" {
|
||||
& $Cm95Pbf plan-production `
|
||||
--dataset-id $DatasetId `
|
||||
--zooms 0-12 `
|
||||
--profile delivery `
|
||||
--manifest $Manifest `
|
||||
--output $Plan
|
||||
}
|
||||
|
||||
Invoke-Checked "STEP 10B - production plan audit" {
|
||||
& $Python ".\tools\cm95_production_plan_audit_v1.py" `
|
||||
--plan $Plan `
|
||||
--expected-zooms 0-12 `
|
||||
--output $PlanAudit
|
||||
}
|
||||
|
||||
$PlanObj = Get-Content $Plan -Raw | ConvertFrom-Json
|
||||
$PlanAuditObj = Get-Content $PlanAudit -Raw | ConvertFrom-Json
|
||||
|
||||
if ([string]$PlanAuditObj.overall -ne "PASS") {
|
||||
throw "Production plan audit FAIL"
|
||||
}
|
||||
|
||||
$ReleaseId = [string]$PlanObj.release_id
|
||||
|
||||
if ([string]::IsNullOrWhiteSpace($ReleaseId)) {
|
||||
throw "Plan 没有 release_id"
|
||||
}
|
||||
|
||||
Write-Host ""
|
||||
Write-Host "Plan ID : $($PlanObj.plan_id)"
|
||||
Write-Host "Release ID : $ReleaseId"
|
||||
Write-Host "Jobs : $($PlanObj.job_count)"
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# STEP 11 - Full PBF build
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
Invoke-Checked "STEP 11 - build-production FULL" {
|
||||
& $Cm95Pbf build-production `
|
||||
--plan $Plan `
|
||||
--release-root ".\build\releases" `
|
||||
--workers $Workers `
|
||||
--max-attempts 3
|
||||
}
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# STEP 12 - Production status
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
Write-Step "STEP 12 - Production status"
|
||||
|
||||
$StatusText = (
|
||||
& $Cm95Pbf status-production `
|
||||
--plan $Plan `
|
||||
--release-root ".\build\releases" |
|
||||
Out-String
|
||||
).Trim()
|
||||
|
||||
if ($LASTEXITCODE -ne 0 -or [string]::IsNullOrWhiteSpace($StatusText)) {
|
||||
throw "status-production FAILED"
|
||||
}
|
||||
|
||||
Write-Host $StatusText
|
||||
|
||||
$Status = $StatusText | ConvertFrom-Json
|
||||
$States = $Status.states
|
||||
|
||||
$PassCount = Get-StateCount $States "PASS"
|
||||
$FailedCount = Get-StateCount $States "FAILED"
|
||||
$PendingCount = Get-StateCount $States "PENDING"
|
||||
$RunningCount = Get-StateCount $States "RUNNING"
|
||||
|
||||
if ($PassCount -ne [int]$Status.jobs -or
|
||||
$FailedCount -ne 0 -or
|
||||
$PendingCount -ne 0 -or
|
||||
$RunningCount -ne 0) {
|
||||
throw "Production state gate FAIL"
|
||||
}
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# STEP 13 - Final release gate
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
Invoke-Checked "STEP 13 - finalize-production" {
|
||||
& $Cm95Pbf finalize-production `
|
||||
--plan $Plan `
|
||||
--release-root ".\build\releases" `
|
||||
--style ".\config\style\style.navsea-delivery-full-semantic-unified-20260808-cm95-v1.json" `
|
||||
--sprite-json ".\config\sprite\semantic-sprite-20260808.json" `
|
||||
--gap-disposition $EffectiveDisposition
|
||||
}
|
||||
|
||||
$ReleaseDir = Join-Path $ProjectRoot ("build\releases\" + $ReleaseId)
|
||||
$ReleaseManifest = Join-Path $ReleaseDir "release_manifest_v1.json"
|
||||
|
||||
if (-not (Test-Path $ReleaseManifest -PathType Leaf)) {
|
||||
throw "finalize 已运行，但 release manifest 不存在: $ReleaseManifest"
|
||||
}
|
||||
|
||||
$Final = Get-Content $ReleaseManifest -Raw | ConvertFrom-Json
|
||||
|
||||
if ([string]$Final.status -ne "PASS") {
|
||||
throw "Final release manifest status != PASS"
|
||||
}
|
||||
|
||||
# ----------------------------------------------------------------------
|
||||
# STEP 14 - Save compact baseline summary
|
||||
# ----------------------------------------------------------------------
|
||||
|
||||
$SummaryPath = ".\build\production\CM95_JAPAN_FULL_REBUILD_CURRENT.json"
|
||||
|
||||
$Summary = [ordered]@{
|
||||
schema = "navsea.cm95.japan-full-rebuild-pipeline/v2"
|
||||
completed_at = (Get-Date).ToString("o")
|
||||
project_root = $ProjectRoot
|
||||
source_root = $SourceRoot
|
||||
database = $DbName
|
||||
dataset_id = $DatasetId
|
||||
source_cells = [int]$Audit.source_cells
|
||||
source_geometry_validity_issues = [int]$Audit.geometry_validity_issues
|
||||
audit_report = $AuditReport
|
||||
mapping_gap_audit = $GapAudit
|
||||
mapping_gap_closure = [string]$Closure.overall
|
||||
effective_gap_disposition = $EffectiveDisposition
|
||||
semantic_completeness = [string]$Final.semantic_completeness
|
||||
semantic_backlog = $Final.semantic_backlog
|
||||
fid_manifest = $Manifest
|
||||
plan = $Plan
|
||||
plan_id = [string]$PlanObj.plan_id
|
||||
release_id = $ReleaseId
|
||||
release_dir = $ReleaseDir
|
||||
release_manifest = $ReleaseManifest
|
||||
jobs = [int]$Status.jobs
|
||||
pbf_files = [int]$Status.pbf_files
|
||||
output_features = [int64]$Status.output_features
|
||||
final_status = [string]$Final.status
|
||||
}
|
||||
|
||||
$Summary |
|
||||
ConvertTo-Json -Depth 12 |
|
||||
Set-Content $SummaryPath -Encoding UTF8
|
||||
|
||||
Write-Step "PIPELINE COMPLETE / PASS"
|
||||
|
||||
Write-Host "Database : $DbName"
|
||||
Write-Host "Dataset ID : $DatasetId"
|
||||
Write-Host "Source cells : $($Audit.source_cells)"
|
||||
Write-Host "Plan ID : $($PlanObj.plan_id)"
|
||||
Write-Host "Release ID : $ReleaseId"
|
||||
Write-Host "Jobs : $($Status.jobs) PASS"
|
||||
Write-Host "PBF files : $($Status.pbf_files)"
|
||||
Write-Host "Output features: $($Status.output_features)"
|
||||
Write-Host "Final status : $($Final.status)"
|
||||
Write-Host "Semantic : $($Final.semantic_completeness)"
|
||||
Write-Host ""
|
||||
Write-Host "Summary:"
|
||||
Write-Host " $SummaryPath"
|
||||
Write-Host ""
|
||||
Write-Host "Release:"
|
||||
Write-Host " $ReleaseDir"
|
||||
Write-Host ""
|
||||
Write-Host "Web test:"
|
||||
Write-Host " cd `"$ProjectRoot`""
|
||||
Write-Host " & `".\.venv\Scripts\python.exe`" .\web\cm95_web.py --release-id `"$ReleaseId`""
|
||||
|
||||
}
|
||||
finally {
|
||||
Remove-Item $TempRoot -Recurse -Force -ErrorAction SilentlyContinue
|
||||
}
|
||||
280
scripts/cm95_japan_v1_4_6_continue.ps1
Normal file
280
scripts/cm95_japan_v1_4_6_continue.ps1
Normal file
@@ -0,0 +1,280 @@
|
||||
param(
|
||||
[string]$ProjectRoot = "D:\React\cm93-mysql-importer-starter",
|
||||
[string]$SourceRoot = "D:\Ship\CM93V2\CM93JAPAN",
|
||||
[int]$DatasetId = 1,
|
||||
[int]$ExpectedCells = 1492,
|
||||
[int]$Workers = 4,
|
||||
[switch]$SkipQueryEquivalence
|
||||
)
|
||||
|
||||
Set-StrictMode -Version Latest
|
||||
$ErrorActionPreference = "Stop"
|
||||
|
||||
function Step([string]$Text) {
|
||||
Write-Host ""
|
||||
Write-Host "======================================================================"
|
||||
Write-Host $Text
|
||||
Write-Host "======================================================================"
|
||||
}
|
||||
|
||||
function Run([string]$Label, [scriptblock]$Action) {
|
||||
Step $Label
|
||||
& $Action
|
||||
$Code = $LASTEXITCODE
|
||||
if ($null -ne $Code -and $Code -ne 0) {
|
||||
throw "$Label FAILED (exit=$Code)"
|
||||
}
|
||||
}
|
||||
|
||||
function StateCount($States, [string]$Name) {
|
||||
if ($null -eq $States) { return 0 }
|
||||
$P = $States.PSObject.Properties[$Name]
|
||||
if ($null -eq $P) { return 0 }
|
||||
return [int]$P.Value
|
||||
}
|
||||
|
||||
Set-Location $ProjectRoot
|
||||
|
||||
$Python = ".\.venv\Scripts\python.exe"
|
||||
$Cm95Pbf = ".\.venv\Scripts\cm95pbf.exe"
|
||||
$Mapping = ".\config\mappings\cm95_to_navsea_v1.yaml"
|
||||
$Disposition = ".\config\mappings\cm95_gap_disposition_japan_dataset_1_v1.yaml"
|
||||
$Policy = ".\config\pbf\cm95_tile_policy_japan_full_detail_v1.yaml"
|
||||
$Manifest = ".\build\cm95_fid_manifest_japan_dataset_1_v1.sqlite"
|
||||
$GapAudit = ".\build\production\cm95_global_mapping_gap_audit_dataset_1.json"
|
||||
$Closure = ".\build\production\cm95_global_mapping_gap_closure_dataset_1_v1_4_6.json"
|
||||
$MappingContract = ".\build\production\cm95_mapping_contract_check_japan_dataset_1_v1_4_6.json"
|
||||
$Plan = ".\build\production\cm95_production_plan_japan_full_detail_v1_4_6.json"
|
||||
$PlanAudit = ".\build\production\cm95_production_plan_audit_japan_full_detail_v1_4_6.json"
|
||||
|
||||
foreach ($Path in @($Python,$Cm95Pbf,$Mapping,$Disposition,$Policy)) {
|
||||
if (-not (Test-Path $Path)) {
|
||||
throw "Missing required file: $Path"
|
||||
}
|
||||
}
|
||||
|
||||
Run "STEP 0A - pip install v1.4.6 editable" {
|
||||
& $Python -m pip install -e .
|
||||
}
|
||||
|
||||
Run "STEP 0B - CM95 v1.4.6 preflight" {
|
||||
& $Python ".\tools\cm95_v1_4_6_preflight.py"
|
||||
}
|
||||
|
||||
# Verify the existing fresh Japan Dataset. No import / no DROP database.
|
||||
Step "STEP 1 - Verify existing Japan Dataset"
|
||||
|
||||
$Tmp = Join-Path $env:TEMP ("cm95_japan_v146_" + $PID)
|
||||
Remove-Item $Tmp -Recurse -Force -ErrorAction SilentlyContinue
|
||||
New-Item -ItemType Directory -Path $Tmp | Out-Null
|
||||
|
||||
try {
|
||||
$Helper = Join-Path $Tmp "verify_dataset.py"
|
||||
@'
|
||||
from pathlib import Path
|
||||
from dotenv import load_dotenv
|
||||
import os, sys, json, pymysql
|
||||
|
||||
project_root = Path(sys.argv[1]).resolve()
|
||||
dataset_id = int(sys.argv[2])
|
||||
expected_root = str(Path(sys.argv[3]).resolve())
|
||||
load_dotenv(dotenv_path=project_root / ".env")
|
||||
|
||||
conn = pymysql.connect(
|
||||
host=os.getenv("CM93_DB_HOST", "127.0.0.1"),
|
||||
port=int(os.getenv("CM93_DB_PORT", "3306")),
|
||||
user=os.getenv("CM93_DB_USER", "root"),
|
||||
password=os.getenv("CM93_DB_PASSWORD", ""),
|
||||
database=os.getenv("CM93_DB_NAME", "cm93_chart"),
|
||||
charset=os.getenv("CM93_DB_CHARSET", "utf8mb4"),
|
||||
cursorclass=pymysql.cursors.DictCursor,
|
||||
)
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(
|
||||
"""
|
||||
SELECT d.id,d.name,d.source_root,
|
||||
COUNT(c.id) cells,
|
||||
SUM(c.import_status='DONE') done_cells,
|
||||
SUM(c.import_status='FAILED') failed_cells
|
||||
FROM chart_dataset d
|
||||
LEFT JOIN chart_cell c ON c.dataset_id=d.id
|
||||
WHERE d.id=%s
|
||||
GROUP BY d.id,d.name,d.source_root
|
||||
""",
|
||||
(dataset_id,),
|
||||
)
|
||||
row = cur.fetchone()
|
||||
if not row:
|
||||
raise RuntimeError(f"dataset {dataset_id} not found")
|
||||
actual_root = str(Path(row["source_root"]).resolve())
|
||||
if actual_root.lower() != expected_root.lower():
|
||||
raise RuntimeError(f"source_root mismatch: {actual_root} != {expected_root}")
|
||||
print(json.dumps({
|
||||
"id": int(row["id"]),
|
||||
"name": row["name"],
|
||||
"source_root": actual_root,
|
||||
"cells": int(row["cells"] or 0),
|
||||
"done_cells": int(row["done_cells"] or 0),
|
||||
"failed_cells": int(row["failed_cells"] or 0),
|
||||
}, ensure_ascii=False))
|
||||
finally:
|
||||
conn.close()
|
||||
'@ | Set-Content $Helper -Encoding UTF8
|
||||
|
||||
$DatasetText = (& $Python $Helper $ProjectRoot $DatasetId $SourceRoot | Out-String).Trim()
|
||||
if ($LASTEXITCODE -ne 0) { throw "Dataset verification failed" }
|
||||
$Dataset = $DatasetText | ConvertFrom-Json
|
||||
if ([int]$Dataset.cells -ne $ExpectedCells -or
|
||||
[int]$Dataset.done_cells -ne $ExpectedCells -or
|
||||
[int]$Dataset.failed_cells -ne 0) {
|
||||
throw "Dataset state mismatch: $DatasetText"
|
||||
}
|
||||
Write-Host $DatasetText
|
||||
}
|
||||
finally {
|
||||
Remove-Item $Tmp -Recurse -Force -ErrorAction SilentlyContinue
|
||||
}
|
||||
|
||||
if (-not $SkipQueryEquivalence) {
|
||||
Run "STEP 2 - v1.4.5 vs v1.4.6 candidate query equivalence + SPATIAL plan" {
|
||||
& $Python ".\tools\cm95_v1_4_6_query_equivalence.py" `
|
||||
--dataset-id $DatasetId
|
||||
}
|
||||
}
|
||||
else {
|
||||
Step "STEP 2 - Query equivalence SKIPPED by user"
|
||||
}
|
||||
|
||||
Run "STEP 3A - Re-run mapping gap audit" {
|
||||
& $Python ".\tools\cm95_global_mapping_gap_audit_v1.py" `
|
||||
--dataset-id $DatasetId `
|
||||
--mapping $Mapping `
|
||||
--output $GapAudit
|
||||
}
|
||||
|
||||
Run "STEP 3B - Japan gap closure" {
|
||||
& $Python ".\tools\cm95_global_mapping_gap_closure_audit_v2.py" `
|
||||
--gap-audit $GapAudit `
|
||||
--mapping $Mapping `
|
||||
--disposition $Disposition `
|
||||
--output $Closure
|
||||
}
|
||||
|
||||
$C = Get-Content $Closure -Raw | ConvertFrom-Json
|
||||
if ([string]$C.overall -ne "PASS") { throw "Mapping gap closure != PASS" }
|
||||
if (@($C.unclassified_variants).Count -ne 0) { throw "Unclassified gap variants remain" }
|
||||
|
||||
Run "STEP 3C - Mapping / Style / Sprite contract" {
|
||||
& $Python ".\tools\cm95_mapping_contract_check_v1.py" `
|
||||
--mapping $Mapping `
|
||||
--style ".\config\style\style.navsea-delivery-full-semantic-unified-20260808-cm95-v1.json" `
|
||||
--sprite-json ".\config\sprite\semantic-sprite-20260808.json" `
|
||||
--output $MappingContract
|
||||
}
|
||||
|
||||
$MC = Get-Content $MappingContract -Raw | ConvertFrom-Json
|
||||
if ([string]$MC.overall -ne "PASS") { throw "Mapping/style/sprite contract != PASS" }
|
||||
|
||||
# FID manifest is independent from builder query implementation; reuse when valid.
|
||||
if (-not (Test-Path $Manifest)) {
|
||||
Run "STEP 4 - FID manifest missing; rebuild" {
|
||||
& $Cm95Pbf build-fid-manifest `
|
||||
--dataset-id $DatasetId `
|
||||
--manifest $Manifest `
|
||||
--rebuild-fid-manifest
|
||||
}
|
||||
}
|
||||
else {
|
||||
Step "STEP 4 - Reuse existing FID manifest"
|
||||
Write-Host $Manifest
|
||||
}
|
||||
|
||||
# v1.4.6 builder contract changes the immutable plan hash, so create a NEW plan/release.
|
||||
Run "STEP 5A - Create NEW v1.4.6 production plan" {
|
||||
& $Cm95Pbf plan-production `
|
||||
--dataset-id $DatasetId `
|
||||
--zooms 0-12 `
|
||||
--profile delivery `
|
||||
--mapping $Mapping `
|
||||
--policy $Policy `
|
||||
--manifest $Manifest `
|
||||
--output $Plan
|
||||
}
|
||||
|
||||
Run "STEP 5B - Audit v1.4.6 production plan" {
|
||||
& $Python ".\tools\cm95_production_plan_audit_v1.py" `
|
||||
--plan $Plan `
|
||||
--expected-zooms 0-12 `
|
||||
--output $PlanAudit
|
||||
}
|
||||
|
||||
$PA = Get-Content $PlanAudit -Raw | ConvertFrom-Json
|
||||
if ([string]$PA.overall -ne "PASS") { throw "Production plan audit != PASS" }
|
||||
|
||||
$PlanObj = Get-Content $Plan -Raw | ConvertFrom-Json
|
||||
if ([string]$PlanObj.builder_contract_version -ne "cm95pbf-builder/0.4.6-spatial-candidate-query") {
|
||||
throw "Wrong builder contract in plan: $($PlanObj.builder_contract_version)"
|
||||
}
|
||||
|
||||
$ReleaseId = [string]$PlanObj.release_id
|
||||
Write-Host ""
|
||||
Write-Host "Plan ID : $($PlanObj.plan_id)"
|
||||
Write-Host "Release ID : $ReleaseId"
|
||||
Write-Host "Jobs : $($PlanObj.job_count)"
|
||||
Write-Host "Workers : $Workers"
|
||||
|
||||
# Deliberately do NOT migrate PASS jobs from v1.4.5 partial release.
|
||||
# The new query must receive a clean production run for output equivalence/final gate.
|
||||
Run "STEP 6 - Full v1.4.6 PBF production build" {
|
||||
& $Cm95Pbf build-production `
|
||||
--plan $Plan `
|
||||
--release-root ".\build\releases" `
|
||||
--workers $Workers `
|
||||
--max-attempts 3
|
||||
}
|
||||
|
||||
Step "STEP 7 - Production status"
|
||||
$StatusText = (
|
||||
& $Cm95Pbf status-production `
|
||||
--plan $Plan `
|
||||
--release-root ".\build\releases" |
|
||||
Out-String
|
||||
).Trim()
|
||||
if ($LASTEXITCODE -ne 0) { throw "status-production failed" }
|
||||
Write-Host $StatusText
|
||||
$S = $StatusText | ConvertFrom-Json
|
||||
$Pass = StateCount $S.states "PASS"
|
||||
$Fail = StateCount $S.states "FAILED"
|
||||
$Pending = StateCount $S.states "PENDING"
|
||||
$Running = StateCount $S.states "RUNNING"
|
||||
if ($Pass -ne [int]$S.jobs -or $Fail -ne 0 -or $Pending -ne 0 -or $Running -ne 0) {
|
||||
throw "Production state gate failed"
|
||||
}
|
||||
|
||||
Run "STEP 8 - Finalize v1.4.6 release" {
|
||||
& $Cm95Pbf finalize-production `
|
||||
--plan $Plan `
|
||||
--release-root ".\build\releases" `
|
||||
--style ".\config\style\style.navsea-delivery-full-semantic-unified-20260808-cm95-v1.json" `
|
||||
--sprite-json ".\config\sprite\semantic-sprite-20260808.json" `
|
||||
--gap-disposition $Disposition
|
||||
}
|
||||
|
||||
$ReleaseManifest = ".\build\releases\$ReleaseId\release_manifest_v1.json"
|
||||
if (-not (Test-Path $ReleaseManifest)) { throw "Release manifest missing" }
|
||||
$Final = Get-Content $ReleaseManifest -Raw | ConvertFrom-Json
|
||||
if ([string]$Final.status -ne "PASS") { throw "Final release status != PASS" }
|
||||
|
||||
Step "CM95 JAPAN v1.4.6 COMPLETE / PASS"
|
||||
Write-Host "Dataset ID : $DatasetId"
|
||||
Write-Host "Release ID : $ReleaseId"
|
||||
Write-Host "Jobs : $($S.jobs)"
|
||||
Write-Host "PBF files : $($S.pbf_files)"
|
||||
Write-Host "Output features : $($S.output_features)"
|
||||
Write-Host "Final status : $($Final.status)"
|
||||
Write-Host "Semantic status : $($Final.semantic_completeness)"
|
||||
Write-Host ""
|
||||
Write-Host "Web test:"
|
||||
Write-Host " cd `"$ProjectRoot`""
|
||||
Write-Host " & `".\.venv\Scripts\python.exe`" .\web\cm95_web.py --release-id `"$ReleaseId`""
|
||||
153
scripts/cm95_japan_v1_4_7_finalize_existing.ps1
Normal file
153
scripts/cm95_japan_v1_4_7_finalize_existing.ps1
Normal file
@@ -0,0 +1,153 @@
|
||||
param(
|
||||
[string]$ProjectRoot = "D:\React\cm93-mysql-importer-starter"
|
||||
)
|
||||
|
||||
Set-StrictMode -Version Latest
|
||||
$ErrorActionPreference = "Stop"
|
||||
|
||||
function Step([string]$Text) {
|
||||
Write-Host ""
|
||||
Write-Host "======================================================================"
|
||||
Write-Host $Text
|
||||
Write-Host "======================================================================"
|
||||
}
|
||||
|
||||
function Run([string]$Label, [scriptblock]$Action) {
|
||||
Step $Label
|
||||
& $Action
|
||||
$Code = $LASTEXITCODE
|
||||
if ($null -ne $Code -and $Code -ne 0) {
|
||||
throw "$Label FAILED (exit=$Code)"
|
||||
}
|
||||
}
|
||||
|
||||
Set-Location $ProjectRoot
|
||||
|
||||
$Python = ".\.venv\Scripts\python.exe"
|
||||
$Cm95Pbf = ".\.venv\Scripts\cm95pbf.exe"
|
||||
$Plan = ".\build\production\cm95_production_plan_japan_full_detail_v1_4_6.json"
|
||||
$ReleaseRoot = ".\build\releases"
|
||||
$Disposition = ".\config\mappings\cm95_gap_disposition_japan_dataset_1_v1.yaml"
|
||||
$ExpectedPlanId = "6bc3c1352da347b77256c83d8ab3b771fcde151d70332e8d96c6e50605cb5d8f"
|
||||
$ExpectedReleaseId = "cm95-d1-62a85bd40d3a-6bc3c1352da3"
|
||||
$ExpectedBuilder = "cm95pbf-builder/0.4.6-spatial-candidate-query"
|
||||
|
||||
foreach ($Path in @($Python,$Cm95Pbf,$Plan,$Disposition)) {
|
||||
if (-not (Test-Path $Path)) {
|
||||
throw "Missing required path: $Path"
|
||||
}
|
||||
}
|
||||
|
||||
Run "STEP 0A - pip install v1.4.7 editable" {
|
||||
& $Python -m pip install -e .
|
||||
}
|
||||
|
||||
Run "STEP 0B - CM95 v1.4.7 preflight" {
|
||||
& $Python ".\tools\cm95_v1_4_7_preflight.py"
|
||||
}
|
||||
|
||||
Step "STEP 1 - Verify existing v1.4.6 plan / release identity"
|
||||
$PlanObj = Get-Content $Plan -Raw | ConvertFrom-Json
|
||||
if ([string]$PlanObj.plan_id -ne $ExpectedPlanId) {
|
||||
throw "Unexpected plan_id: $($PlanObj.plan_id)"
|
||||
}
|
||||
if ([string]$PlanObj.release_id -ne $ExpectedReleaseId) {
|
||||
throw "Unexpected release_id: $($PlanObj.release_id)"
|
||||
}
|
||||
if ([string]$PlanObj.builder_contract_version -ne $ExpectedBuilder) {
|
||||
throw "Unexpected builder contract: $($PlanObj.builder_contract_version)"
|
||||
}
|
||||
Write-Host "Plan ID : $($PlanObj.plan_id)"
|
||||
Write-Host "Release ID : $($PlanObj.release_id)"
|
||||
Write-Host "Builder : $($PlanObj.builder_contract_version)"
|
||||
Write-Host "PBF rebuild : NO"
|
||||
|
||||
Step "STEP 2 - Verify existing production is already 27038/27038 PASS"
|
||||
$StatusText = (
|
||||
& $Cm95Pbf status-production `
|
||||
--plan $Plan `
|
||||
--release-root $ReleaseRoot |
|
||||
Out-String
|
||||
).Trim()
|
||||
if ($LASTEXITCODE -ne 0) { throw "status-production failed" }
|
||||
Write-Host $StatusText
|
||||
$S = $StatusText | ConvertFrom-Json
|
||||
if ([int]$S.jobs -ne 27038 -or
|
||||
[int]$S.attempts -ne 27038 -or
|
||||
[int64]$S.output_features -ne 2974375 -or
|
||||
[int]$S.pbf_files -ne 27030 -or
|
||||
[int]$S.states.PASS -ne 27038) {
|
||||
throw "Existing production baseline does not match expected completed v1.4.6 release"
|
||||
}
|
||||
|
||||
$ReleaseDir = Join-Path $ReleaseRoot $ExpectedReleaseId
|
||||
$AuditJson = ".\build\production\cm95_nav_name_conflicts_v1_4_7_precheck.json"
|
||||
$AuditCsv = ".\build\production\cm95_nav_name_conflicts_v1_4_7_precheck.csv"
|
||||
|
||||
Run "STEP 3 - Re-audit the 10 trace occurrences / 4 unique ambiguous outputs" {
|
||||
& $Python ".\tools\cm95_nav_name_conflict_audit_v1.py" `
|
||||
--release-dir $ReleaseDir `
|
||||
--profile delivery `
|
||||
--output-json $AuditJson `
|
||||
--output-csv $AuditCsv
|
||||
}
|
||||
|
||||
$A = Get-Content $AuditJson -Raw | ConvertFrom-Json
|
||||
if ([int]$A.report_name_conflict_occurrences -ne 10 -or
|
||||
[int]$A.trace_name_conflict_occurrences -ne 10 -or
|
||||
[int]$A.unique_conflict_outputs -ne 4 -or
|
||||
[int]$A.affected_tiles -ne 3) {
|
||||
throw "Nav name conflict baseline changed unexpectedly"
|
||||
}
|
||||
|
||||
Run "STEP 4 - Finalize EXISTING PBF release with audited ambiguous-name omission gate" {
|
||||
& $Cm95Pbf finalize-production `
|
||||
--plan $Plan `
|
||||
--release-root $ReleaseRoot `
|
||||
--style ".\config\style\style.navsea-delivery-full-semantic-unified-20260808-cm95-v1.json" `
|
||||
--sprite-json ".\config\sprite\semantic-sprite-20260808.json" `
|
||||
--gap-disposition $Disposition
|
||||
}
|
||||
|
||||
$Manifest = Join-Path $ReleaseDir "release_manifest_v1.json"
|
||||
if (-not (Test-Path $Manifest)) {
|
||||
throw "release manifest missing: $Manifest"
|
||||
}
|
||||
|
||||
$F = Get-Content $Manifest -Raw | ConvertFrom-Json
|
||||
if ([string]$F.status -ne "PASS") {
|
||||
throw "release manifest status != PASS"
|
||||
}
|
||||
if ([string]$F.nav_name_conflict_audit.overall -ne "PASS") {
|
||||
throw "nav_name_conflict_audit != PASS"
|
||||
}
|
||||
if ([int]$F.nav_name_conflict_audit.report_occurrences -ne 10 -or
|
||||
[int]$F.nav_name_conflict_audit.trace_occurrences -ne 10 -or
|
||||
[int]$F.nav_name_conflict_audit.safe_omission_occurrences -ne 10 -or
|
||||
[int]$F.nav_name_conflict_audit.unique_conflict_outputs -ne 4 -or
|
||||
[int]$F.nav_name_conflict_audit.affected_tiles -ne 3 -or
|
||||
[int]$F.nav_name_conflict_audit.labeled_conflict_occurrences -ne 0 -or
|
||||
[int]$F.nav_name_conflict_audit.missing_pbf_occurrences -ne 0) {
|
||||
throw "audited ambiguous-name omission counts differ from expected baseline"
|
||||
}
|
||||
if ([int64]$F.planned_output_features -ne 2974375 -or
|
||||
[int64]$F.decoded_pbf_features -ne 2974375) {
|
||||
throw "feature count changed unexpectedly"
|
||||
}
|
||||
if ([string]$F.style_sprite_contract.overall -ne "PASS") {
|
||||
throw "style/sprite contract != PASS"
|
||||
}
|
||||
|
||||
Step "CM95 JAPAN v1.4.7 FINALIZE COMPLETE / PASS"
|
||||
Write-Host "Release ID : $ExpectedReleaseId"
|
||||
Write-Host "PBF rebuilt : NO"
|
||||
Write-Host "Jobs : 27038 / 27038 PASS"
|
||||
Write-Host "Decoded features : $($F.decoded_pbf_features)"
|
||||
Write-Host "Ambiguous-name occurrences: $($F.nav_name_conflict_audit.report_occurrences)"
|
||||
Write-Host "Unique ambiguous outputs : $($F.nav_name_conflict_audit.unique_conflict_outputs)"
|
||||
Write-Host "Labels safely omitted : $($F.nav_name_conflict_audit.safe_omission_occurrences)"
|
||||
Write-Host "Unsafe labels : $($F.nav_name_conflict_audit.labeled_conflict_occurrences)"
|
||||
Write-Host "Style/Sprite : $($F.style_sprite_contract.overall)"
|
||||
Write-Host "Semantic completeness : $($F.semantic_completeness)"
|
||||
Write-Host "FINAL STATUS : $($F.status)"
|
||||
Write-Host "Manifest : $Manifest"
|
||||
2
src/cm95pbf/__init__.py
Normal file
2
src/cm95pbf/__init__.py
Normal file
@@ -0,0 +1,2 @@
|
||||
__version__ = "0.4.7-production-audited-nav-name-conflict-omission"
|
||||
BUILDER_CONTRACT_VERSION = "cm95pbf-builder/0.4.6-spatial-candidate-query"
|
||||
1939
src/cm95pbf/builder.py
Normal file
1939
src/cm95pbf/builder.py
Normal file
File diff suppressed because it is too large
Load Diff
360
src/cm95pbf/cli.py
Normal file
360
src/cm95pbf/cli.py
Normal file
@@ -0,0 +1,360 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
from cm93db.config import load_config
|
||||
|
||||
from .builder import Cm95TileBuilder, TileJob
|
||||
from .identity import build_manifest
|
||||
from .policy import child_tiles
|
||||
from .production import (
|
||||
create_production_plan,
|
||||
migrate_production_release,
|
||||
parse_zooms,
|
||||
production_status,
|
||||
run_production_plan,
|
||||
)
|
||||
from .release import finalize_release
|
||||
|
||||
|
||||
DEFAULT_MAPPING = Path("config/mappings/cm95_to_navsea_v1.yaml")
|
||||
DEFAULT_POLICY = Path("config/pbf/cm95_tile_policy_v1.yaml")
|
||||
DEFAULT_MANIFEST = Path("build/cm95_fid_manifest_v1.sqlite")
|
||||
|
||||
|
||||
def _add_common_db(p):
|
||||
p.add_argument("--dataset-id", type=int, default=1)
|
||||
|
||||
|
||||
def build_parser() -> argparse.ArgumentParser:
|
||||
p = argparse.ArgumentParser(
|
||||
prog="cm95pbf",
|
||||
description="CM95 MySQL → NavSea-compatible MVT/PBF pilot generator",
|
||||
)
|
||||
sub = p.add_subparsers(dest="command", required=True)
|
||||
|
||||
manifest = sub.add_parser(
|
||||
"build-fid-manifest",
|
||||
help="建立全 Dataset 确定性 int32 MVT Feature ID 清单",
|
||||
)
|
||||
_add_common_db(manifest)
|
||||
manifest.add_argument("--manifest", default=str(DEFAULT_MANIFEST))
|
||||
manifest.add_argument("--rebuild-fid-manifest", action="store_true")
|
||||
|
||||
tile = sub.add_parser(
|
||||
"build-tile",
|
||||
help="生成单张 CM95 NavSea-compatible PBF",
|
||||
)
|
||||
_add_common_db(tile)
|
||||
tile.add_argument("--z", type=int, required=True)
|
||||
tile.add_argument("--x", type=int, required=True)
|
||||
tile.add_argument("--y", type=int, required=True)
|
||||
tile.add_argument("--profile", choices=["engineering", "delivery"], default="delivery")
|
||||
tile.add_argument("--mapping", default=str(DEFAULT_MAPPING))
|
||||
tile.add_argument("--policy", default=str(DEFAULT_POLICY))
|
||||
tile.add_argument("--manifest", default=str(DEFAULT_MANIFEST))
|
||||
tile.add_argument("--output-root", default="build/pbf")
|
||||
tile.add_argument("--report-root", default="build/pbf-reports")
|
||||
|
||||
sample = sub.add_parser(
|
||||
"build-sample-aoi",
|
||||
help="生成 z10 parent + z11 children + z12 grandchildren，共 21 张测试 tile",
|
||||
)
|
||||
_add_common_db(sample)
|
||||
sample.add_argument("--z10-x", type=int, default=914)
|
||||
sample.add_argument("--z10-y", type=int, default=385)
|
||||
sample.add_argument(
|
||||
"--profiles",
|
||||
default="engineering,delivery",
|
||||
help="逗号分隔：engineering,delivery",
|
||||
)
|
||||
sample.add_argument("--mapping", default=str(DEFAULT_MAPPING))
|
||||
sample.add_argument("--policy", default=str(DEFAULT_POLICY))
|
||||
sample.add_argument("--manifest", default=str(DEFAULT_MANIFEST))
|
||||
sample.add_argument("--output-root", default="build/pbf")
|
||||
sample.add_argument("--report-root", default="build/pbf-reports")
|
||||
|
||||
|
||||
prod_plan = sub.add_parser(
|
||||
"plan-production",
|
||||
help="按 Dataset coverage 枚举生产 tile，并冻结不可变生成计划",
|
||||
)
|
||||
_add_common_db(prod_plan)
|
||||
prod_plan.add_argument("--zooms", default="0-12", help="缩放级别，支持 0-12 或 0,1,...,12")
|
||||
prod_plan.add_argument("--profile", choices=["engineering", "delivery"], default="delivery")
|
||||
prod_plan.add_argument("--mapping", default=str(DEFAULT_MAPPING))
|
||||
prod_plan.add_argument("--policy", default=str(DEFAULT_POLICY))
|
||||
prod_plan.add_argument("--manifest", default=str(DEFAULT_MANIFEST))
|
||||
prod_plan.add_argument("--output", default="build/production/cm95_production_plan_v1.json")
|
||||
|
||||
prod_build = sub.add_parser(
|
||||
"build-production",
|
||||
help="按冻结计划批量生成，支持断点续跑、并发和失败重试",
|
||||
)
|
||||
prod_build.add_argument("--plan", default="build/production/cm95_production_plan_v1.json")
|
||||
prod_build.add_argument("--release-root", default="build/releases")
|
||||
prod_build.add_argument("--workers", type=int, default=4)
|
||||
prod_build.add_argument("--max-attempts", type=int, default=3)
|
||||
|
||||
prod_migrate = sub.add_parser(
|
||||
"migrate-production-release",
|
||||
help="把旧 release 的 delivery-equivalent PASS tile 复用到新计划，只重建受影响/失败任务（支持 builder contract 升级）",
|
||||
)
|
||||
prod_migrate.add_argument("--old-release-dir", required=True)
|
||||
prod_migrate.add_argument("--new-plan", default="build/production/cm95_production_plan_v1_4_5.json")
|
||||
prod_migrate.add_argument("--release-root", default="build/releases")
|
||||
prod_migrate.add_argument("--copy-mode", choices=["hardlink", "copy"], default="hardlink")
|
||||
prod_migrate.add_argument(
|
||||
"--invalidate-tiles-file",
|
||||
default=None,
|
||||
help="每行一个 z/x/y；这些旧 PASS tile 强制留为 PENDING，适用于 builder contract 的定向重建",
|
||||
)
|
||||
|
||||
prod_status = sub.add_parser(
|
||||
"status-production",
|
||||
help="查看生产计划当前账本状态",
|
||||
)
|
||||
prod_status.add_argument("--plan", default="build/production/cm95_production_plan_v1.json")
|
||||
prod_status.add_argument("--release-root", default="build/releases")
|
||||
|
||||
prod_final = sub.add_parser(
|
||||
"finalize-production",
|
||||
help="对完成的生产产物做三方计数/FID/哈希盘点并生成 release manifest",
|
||||
)
|
||||
prod_final.add_argument("--plan", default="build/production/cm95_production_plan_v1.json")
|
||||
prod_final.add_argument("--release-root", default="build/releases")
|
||||
prod_final.add_argument("--style", default="config/style/style.navsea-delivery-full-semantic-unified-20260808-cm95-v1.json")
|
||||
prod_final.add_argument("--sprite-json", default="config/sprite/semantic-sprite-20260808.json")
|
||||
prod_final.add_argument("--gap-disposition", default="config/mappings/cm95_gap_disposition_v1.yaml")
|
||||
|
||||
return p
|
||||
|
||||
|
||||
def ensure_manifest(dataset_id: int, manifest_path: Path) -> dict:
|
||||
cfg = load_config()
|
||||
with __import__("pymysql").connect(
|
||||
host=cfg.host,
|
||||
port=cfg.port,
|
||||
user=cfg.user,
|
||||
password=cfg.password,
|
||||
database=cfg.database,
|
||||
charset=cfg.charset,
|
||||
cursorclass=__import__("pymysql").cursors.DictCursor,
|
||||
autocommit=False,
|
||||
connect_timeout=20,
|
||||
read_timeout=900,
|
||||
) as conn:
|
||||
return build_manifest(
|
||||
conn,
|
||||
dataset_id,
|
||||
manifest_path,
|
||||
rebuild=False,
|
||||
)
|
||||
|
||||
|
||||
def main() -> None:
|
||||
args = build_parser().parse_args()
|
||||
cfg = load_config()
|
||||
|
||||
if args.command == "plan-production":
|
||||
manifest_path = Path(args.manifest)
|
||||
if not manifest_path.exists():
|
||||
print("FID manifest 不存在，先自动建立。")
|
||||
print(json.dumps(ensure_manifest(args.dataset_id, manifest_path), ensure_ascii=False, indent=2))
|
||||
result = create_production_plan(
|
||||
db=cfg,
|
||||
dataset_id=args.dataset_id,
|
||||
mapping_path=Path(args.mapping),
|
||||
policy_path=Path(args.policy),
|
||||
manifest_path=manifest_path,
|
||||
output_path=Path(args.output),
|
||||
zooms=parse_zooms(args.zooms),
|
||||
profile=args.profile,
|
||||
)
|
||||
print(json.dumps({
|
||||
"plan_id": result["plan_id"],
|
||||
"release_id": result["release_id"],
|
||||
"job_count": result["job_count"],
|
||||
"source_stats": result["source_stats"],
|
||||
"output": str(Path(args.output)),
|
||||
}, ensure_ascii=False, indent=2))
|
||||
return
|
||||
|
||||
if args.command == "build-production":
|
||||
result = run_production_plan(
|
||||
db=cfg,
|
||||
plan_path=Path(args.plan),
|
||||
release_root=Path(args.release_root),
|
||||
workers=args.workers,
|
||||
max_attempts=args.max_attempts,
|
||||
)
|
||||
print(json.dumps(result, ensure_ascii=False, indent=2))
|
||||
states = result.get("states") or {}
|
||||
if states.get("FAILED", 0) or states.get("PENDING", 0) or states.get("RUNNING", 0):
|
||||
raise SystemExit(2)
|
||||
return
|
||||
|
||||
if args.command == "migrate-production-release":
|
||||
result = migrate_production_release(
|
||||
old_release_dir=Path(args.old_release_dir),
|
||||
new_plan_path=Path(args.new_plan),
|
||||
release_root=Path(args.release_root),
|
||||
copy_mode=args.copy_mode,
|
||||
invalidate_tiles_file=(Path(args.invalidate_tiles_file) if args.invalidate_tiles_file else None),
|
||||
)
|
||||
print(json.dumps(result, ensure_ascii=False, indent=2))
|
||||
return
|
||||
|
||||
if args.command == "status-production":
|
||||
print(json.dumps(production_status(Path(args.plan), Path(args.release_root)), ensure_ascii=False, indent=2))
|
||||
return
|
||||
|
||||
if args.command == "finalize-production":
|
||||
result = finalize_release(
|
||||
Path(args.plan),
|
||||
Path(args.release_root),
|
||||
Path(args.style) if args.style else None,
|
||||
Path(args.sprite_json) if args.sprite_json else None,
|
||||
Path(args.gap_disposition) if args.gap_disposition else None,
|
||||
)
|
||||
print(json.dumps({
|
||||
"status": result["status"],
|
||||
"release_id": result["release_id"],
|
||||
"planned_tile_jobs": result["planned_tile_jobs"],
|
||||
"pbf_file_count": result["pbf_file_count"],
|
||||
"planned_output_features": result["planned_output_features"],
|
||||
"decoded_pbf_features": result["decoded_pbf_features"],
|
||||
"semantic_completeness": result.get("semantic_completeness"),
|
||||
"semantic_backlog": result.get("semantic_backlog"),
|
||||
"non_renderable_omissions": result.get("non_renderable_omissions"),
|
||||
"non_renderable_omission_layers": result.get("non_renderable_omission_layers"),
|
||||
"style_sprite_contract": {
|
||||
"overall": (result.get("style_sprite_contract") or {}).get("overall"),
|
||||
"contract_unmatched_count": (result.get("style_sprite_contract") or {}).get("contract_unmatched_count"),
|
||||
"sprite_missing_count": (result.get("style_sprite_contract") or {}).get("sprite_missing_count"),
|
||||
},
|
||||
"quantization_fallbacks": result.get("quantization_fallbacks"),
|
||||
"quantization_omissions": result.get("quantization_omissions"),
|
||||
"nav_name_conflict_audit": {
|
||||
"overall": (result.get("nav_name_conflict_audit") or {}).get("overall"),
|
||||
"policy": (result.get("nav_name_conflict_audit") or {}).get("policy"),
|
||||
"report_occurrences": (result.get("nav_name_conflict_audit") or {}).get("report_occurrences"),
|
||||
"trace_occurrences": (result.get("nav_name_conflict_audit") or {}).get("trace_occurrences"),
|
||||
"safe_omission_occurrences": (result.get("nav_name_conflict_audit") or {}).get("safe_omission_occurrences"),
|
||||
"unique_conflict_outputs": (result.get("nav_name_conflict_audit") or {}).get("unique_conflict_outputs"),
|
||||
"affected_tiles": (result.get("nav_name_conflict_audit") or {}).get("affected_tiles"),
|
||||
},
|
||||
"failures": result["failures"],
|
||||
}, ensure_ascii=False, indent=2))
|
||||
if result["status"] != "PASS":
|
||||
raise SystemExit(2)
|
||||
return
|
||||
|
||||
if args.command == "build-fid-manifest":
|
||||
import pymysql
|
||||
with pymysql.connect(
|
||||
host=cfg.host,
|
||||
port=cfg.port,
|
||||
user=cfg.user,
|
||||
password=cfg.password,
|
||||
database=cfg.database,
|
||||
charset=cfg.charset,
|
||||
cursorclass=pymysql.cursors.DictCursor,
|
||||
autocommit=False,
|
||||
connect_timeout=20,
|
||||
read_timeout=900,
|
||||
) as conn:
|
||||
result = build_manifest(
|
||||
conn,
|
||||
args.dataset_id,
|
||||
Path(args.manifest),
|
||||
rebuild=bool(args.rebuild_fid_manifest),
|
||||
)
|
||||
print(json.dumps(result, ensure_ascii=False, indent=2))
|
||||
return
|
||||
|
||||
manifest_path = Path(args.manifest)
|
||||
if not manifest_path.exists():
|
||||
print("FID manifest 不存在，先自动建立。")
|
||||
print(
|
||||
json.dumps(
|
||||
ensure_manifest(args.dataset_id, manifest_path),
|
||||
ensure_ascii=False,
|
||||
indent=2,
|
||||
)
|
||||
)
|
||||
|
||||
if args.command == "build-tile":
|
||||
builder = Cm95TileBuilder(
|
||||
db=cfg,
|
||||
dataset_id=args.dataset_id,
|
||||
mapping_path=Path(args.mapping),
|
||||
policy_path=Path(args.policy),
|
||||
fid_manifest_path=manifest_path,
|
||||
output_root=Path(args.output_root) / args.profile,
|
||||
report_root=Path(args.report_root),
|
||||
profile=args.profile,
|
||||
)
|
||||
result = builder.build_tile(
|
||||
TileJob(args.z, args.x, args.y)
|
||||
)
|
||||
print(json.dumps(result, ensure_ascii=False, indent=2))
|
||||
return
|
||||
|
||||
if args.command == "build-sample-aoi":
|
||||
profiles = [
|
||||
token.strip()
|
||||
for token in str(args.profiles).split(",")
|
||||
if token.strip()
|
||||
]
|
||||
for profile in profiles:
|
||||
if profile not in {"engineering", "delivery"}:
|
||||
raise SystemExit(f"invalid profile: {profile}")
|
||||
|
||||
jobs = [(10, args.z10_x, args.z10_y)]
|
||||
jobs.extend(child_tiles(10, args.z10_x, args.z10_y, 11))
|
||||
jobs.extend(child_tiles(10, args.z10_x, args.z10_y, 12))
|
||||
|
||||
results = []
|
||||
for profile in profiles:
|
||||
builder = Cm95TileBuilder(
|
||||
db=cfg,
|
||||
dataset_id=args.dataset_id,
|
||||
mapping_path=Path(args.mapping),
|
||||
policy_path=Path(args.policy),
|
||||
fid_manifest_path=manifest_path,
|
||||
output_root=Path(args.output_root) / profile,
|
||||
report_root=Path(args.report_root),
|
||||
profile=profile,
|
||||
)
|
||||
for z, x, y in jobs:
|
||||
result = builder.build_tile(TileJob(z, x, y))
|
||||
results.append(result)
|
||||
print(
|
||||
f"[{profile}] {z}/{x}/{y} "
|
||||
f"features={result['output_feature_count']} "
|
||||
f"layers={result['output_layer_count']} "
|
||||
f"hard_gate_unmapped={len(result['hard_gate_unmapped'])}"
|
||||
)
|
||||
|
||||
summary = {
|
||||
"dataset_id": args.dataset_id,
|
||||
"root_tile": f"10/{args.z10_x}/{args.z10_y}",
|
||||
"profiles": profiles,
|
||||
"tile_count_per_profile": len(jobs),
|
||||
"results": results,
|
||||
}
|
||||
summary_path = Path(args.report_root) / "sample_aoi_summary_v1.json"
|
||||
summary_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
summary_path.write_text(
|
||||
json.dumps(summary, ensure_ascii=False, indent=2),
|
||||
encoding="utf-8",
|
||||
)
|
||||
print(f"SUMMARY: {summary_path}")
|
||||
return
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
329
src/cm95pbf/identity.py
Normal file
329
src/cm95pbf/identity.py
Normal file
@@ -0,0 +1,329 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import hashlib
|
||||
from pathlib import Path
|
||||
import sqlite3
|
||||
from typing import Iterable
|
||||
|
||||
ROLE_PRIMARY = 0
|
||||
ROLE_BOUNDARY = 1
|
||||
ROLE_POINT_ON_SURFACE = 2
|
||||
ROLE_SECONDARY = 3
|
||||
ROLE_FACTOR = 16
|
||||
MAX_SIGNED_INT32 = (1 << 31) - 1
|
||||
|
||||
|
||||
def feature_source_key(
|
||||
dataset_id: int,
|
||||
source_relative_path: str,
|
||||
source_record_index: int,
|
||||
geometry_type: str,
|
||||
) -> str:
|
||||
path = str(source_relative_path).replace("\\", "/")
|
||||
return (
|
||||
f"cm95:{int(dataset_id)}:{path}:"
|
||||
f"{int(source_record_index)}:{str(geometry_type).lower()}"
|
||||
)
|
||||
|
||||
|
||||
def sounding_source_key(
|
||||
dataset_id: int,
|
||||
source_relative_path: str,
|
||||
source_record_index: int,
|
||||
point_index: int,
|
||||
) -> str:
|
||||
return (
|
||||
feature_source_key(
|
||||
dataset_id,
|
||||
source_relative_path,
|
||||
source_record_index,
|
||||
"SOUNDING",
|
||||
)
|
||||
+ f":point:{int(point_index)}"
|
||||
)
|
||||
|
||||
|
||||
def dataset_fingerprint(conn, dataset_id: int) -> str:
|
||||
h = hashlib.sha256()
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(
|
||||
"""
|
||||
SELECT
|
||||
source_relative_path,
|
||||
COALESCE(source_sha256,'') AS source_sha256,
|
||||
source_size,
|
||||
scale_code,
|
||||
native_scale
|
||||
FROM chart_cell
|
||||
WHERE dataset_id=%s
|
||||
ORDER BY source_relative_path
|
||||
""",
|
||||
(dataset_id,),
|
||||
)
|
||||
for row in cur.fetchall():
|
||||
line = (
|
||||
f"{row['source_relative_path']}|{row['source_sha256']}|"
|
||||
f"{row['source_size']}|{row['scale_code']}|{row['native_scale']}\n"
|
||||
)
|
||||
h.update(line.encode("utf-8"))
|
||||
return h.hexdigest()
|
||||
|
||||
|
||||
class FidManifest:
|
||||
def __init__(self, path: Path):
|
||||
self.path = Path(path)
|
||||
self.db: sqlite3.Connection | None = None
|
||||
|
||||
def open(self) -> "FidManifest":
|
||||
self.path.parent.mkdir(parents=True, exist_ok=True)
|
||||
self.db = sqlite3.connect(self.path)
|
||||
self.db.row_factory = sqlite3.Row
|
||||
return self
|
||||
|
||||
def close(self) -> None:
|
||||
if self.db is not None:
|
||||
self.db.close()
|
||||
self.db = None
|
||||
|
||||
def __enter__(self) -> "FidManifest":
|
||||
return self.open()
|
||||
|
||||
def __exit__(self, exc_type, exc, tb) -> None:
|
||||
self.close()
|
||||
|
||||
def _require(self) -> sqlite3.Connection:
|
||||
if self.db is None:
|
||||
raise RuntimeError("manifest not open")
|
||||
return self.db
|
||||
|
||||
def init_schema(self) -> None:
|
||||
db = self._require()
|
||||
db.executescript(
|
||||
"""
|
||||
CREATE TABLE IF NOT EXISTS manifest_meta (
|
||||
k TEXT PRIMARY KEY,
|
||||
v TEXT NOT NULL
|
||||
);
|
||||
CREATE TABLE IF NOT EXISTS manifest_identity (
|
||||
source_key TEXT PRIMARY KEY,
|
||||
base_ord INTEGER NOT NULL UNIQUE,
|
||||
source_kind TEXT NOT NULL
|
||||
);
|
||||
CREATE INDEX IF NOT EXISTS idx_manifest_identity_ord
|
||||
ON manifest_identity(base_ord);
|
||||
"""
|
||||
)
|
||||
db.commit()
|
||||
|
||||
def clear(self) -> None:
|
||||
db = self._require()
|
||||
self.init_schema()
|
||||
db.execute("DELETE FROM manifest_identity")
|
||||
db.execute("DELETE FROM manifest_meta")
|
||||
db.commit()
|
||||
|
||||
def set_meta(self, key: str, value: str) -> None:
|
||||
db = self._require()
|
||||
db.execute(
|
||||
"INSERT OR REPLACE INTO manifest_meta(k,v) VALUES(?,?)",
|
||||
(str(key), str(value)),
|
||||
)
|
||||
|
||||
def get_meta(self, key: str) -> str | None:
|
||||
db = self._require()
|
||||
row = db.execute(
|
||||
"SELECT v FROM manifest_meta WHERE k=?",
|
||||
(str(key),),
|
||||
).fetchone()
|
||||
return None if row is None else str(row["v"])
|
||||
|
||||
def insert_many(self, rows: Iterable[tuple[str, int, str]]) -> None:
|
||||
db = self._require()
|
||||
db.executemany(
|
||||
"""
|
||||
INSERT INTO manifest_identity(source_key,base_ord,source_kind)
|
||||
VALUES(?,?,?)
|
||||
""",
|
||||
rows,
|
||||
)
|
||||
|
||||
def commit(self) -> None:
|
||||
self._require().commit()
|
||||
|
||||
def base_ord(self, source_key: str) -> int:
|
||||
db = self._require()
|
||||
row = db.execute(
|
||||
"SELECT base_ord FROM manifest_identity WHERE source_key=?",
|
||||
(source_key,),
|
||||
).fetchone()
|
||||
if row is None:
|
||||
raise KeyError(f"source identity missing from manifest: {source_key}")
|
||||
return int(row["base_ord"])
|
||||
|
||||
def mvt_id(self, source_key: str, role_code: int = ROLE_PRIMARY) -> int:
|
||||
if role_code < 0 or role_code >= ROLE_FACTOR:
|
||||
raise ValueError(f"invalid role code: {role_code}")
|
||||
value = self.base_ord(source_key) * ROLE_FACTOR + int(role_code)
|
||||
if value > MAX_SIGNED_INT32:
|
||||
raise RuntimeError(
|
||||
"deterministic fid exceeded signed int32; "
|
||||
"increase identity design before publishing"
|
||||
)
|
||||
return value
|
||||
|
||||
|
||||
def build_manifest(
|
||||
mysql_conn,
|
||||
dataset_id: int,
|
||||
manifest_path: Path,
|
||||
rebuild: bool = False,
|
||||
) -> dict:
|
||||
fingerprint = dataset_fingerprint(mysql_conn, dataset_id)
|
||||
|
||||
with FidManifest(manifest_path) as manifest:
|
||||
manifest.init_schema()
|
||||
|
||||
old_dataset = manifest.get_meta("dataset_id")
|
||||
old_fingerprint = manifest.get_meta("dataset_fingerprint")
|
||||
|
||||
if old_dataset is not None and not rebuild:
|
||||
if old_dataset == str(dataset_id) and old_fingerprint == fingerprint:
|
||||
count = int(
|
||||
manifest._require()
|
||||
.execute("SELECT COUNT(*) FROM manifest_identity")
|
||||
.fetchone()[0]
|
||||
)
|
||||
return {
|
||||
"status": "REUSED",
|
||||
"dataset_id": dataset_id,
|
||||
"dataset_fingerprint": fingerprint,
|
||||
"identity_count": count,
|
||||
"manifest": str(manifest_path),
|
||||
}
|
||||
raise RuntimeError(
|
||||
"existing fid manifest belongs to a different dataset state; "
|
||||
"run with --rebuild-fid-manifest"
|
||||
)
|
||||
|
||||
manifest.clear()
|
||||
|
||||
base_ord = 0
|
||||
batch: list[tuple[str, int, str]] = []
|
||||
|
||||
with mysql_conn.cursor() as cur:
|
||||
cur.execute(
|
||||
"""
|
||||
SELECT
|
||||
c.source_relative_path,
|
||||
f.source_record_index,
|
||||
f.geometry_type
|
||||
FROM chart_feature f
|
||||
JOIN chart_cell c ON c.id=f.cell_id
|
||||
WHERE f.dataset_id=%s
|
||||
ORDER BY
|
||||
c.source_relative_path,
|
||||
f.source_record_index,
|
||||
f.geometry_type
|
||||
""",
|
||||
(dataset_id,),
|
||||
)
|
||||
while True:
|
||||
mysql_batch = cur.fetchmany(5000)
|
||||
if not mysql_batch:
|
||||
break
|
||||
for row in mysql_batch:
|
||||
base_ord += 1
|
||||
batch.append(
|
||||
(
|
||||
feature_source_key(
|
||||
dataset_id,
|
||||
row["source_relative_path"],
|
||||
row["source_record_index"],
|
||||
row["geometry_type"],
|
||||
),
|
||||
base_ord,
|
||||
"feature",
|
||||
)
|
||||
)
|
||||
manifest.insert_many(batch)
|
||||
batch.clear()
|
||||
|
||||
feature_identity_count = base_ord
|
||||
|
||||
cur.execute(
|
||||
"""
|
||||
SELECT
|
||||
c.source_relative_path,
|
||||
f.source_record_index,
|
||||
s.point_index
|
||||
FROM chart_sounding_point s
|
||||
JOIN chart_feature f ON f.id=s.feature_id
|
||||
JOIN chart_cell c ON c.id=f.cell_id
|
||||
WHERE f.dataset_id=%s
|
||||
ORDER BY
|
||||
c.source_relative_path,
|
||||
f.source_record_index,
|
||||
s.point_index
|
||||
""",
|
||||
(dataset_id,),
|
||||
)
|
||||
while True:
|
||||
mysql_batch = cur.fetchmany(5000)
|
||||
if not mysql_batch:
|
||||
break
|
||||
for row in mysql_batch:
|
||||
base_ord += 1
|
||||
batch.append(
|
||||
(
|
||||
sounding_source_key(
|
||||
dataset_id,
|
||||
row["source_relative_path"],
|
||||
row["source_record_index"],
|
||||
row["point_index"],
|
||||
),
|
||||
base_ord,
|
||||
"sounding_point",
|
||||
)
|
||||
)
|
||||
manifest.insert_many(batch)
|
||||
batch.clear()
|
||||
|
||||
manifest.set_meta("schema", "navsea.cm95.fid-manifest/v1")
|
||||
manifest.set_meta("dataset_id", str(dataset_id))
|
||||
manifest.set_meta("dataset_fingerprint", fingerprint)
|
||||
manifest.set_meta("role_factor", str(ROLE_FACTOR))
|
||||
manifest.set_meta("feature_identity_count", str(feature_identity_count))
|
||||
manifest.set_meta("identity_count", str(base_ord))
|
||||
manifest.commit()
|
||||
|
||||
return {
|
||||
"status": "BUILT",
|
||||
"dataset_id": dataset_id,
|
||||
"dataset_fingerprint": fingerprint,
|
||||
"feature_identity_count": feature_identity_count,
|
||||
"identity_count": base_ord,
|
||||
"manifest": str(manifest_path),
|
||||
}
|
||||
|
||||
|
||||
def validate_manifest(mysql_conn, dataset_id: int, manifest_path: Path) -> dict:
|
||||
fingerprint = dataset_fingerprint(mysql_conn, dataset_id)
|
||||
with FidManifest(manifest_path) as manifest:
|
||||
manifest.init_schema()
|
||||
dataset = manifest.get_meta("dataset_id")
|
||||
stored_fp = manifest.get_meta("dataset_fingerprint")
|
||||
if dataset != str(dataset_id) or stored_fp != fingerprint:
|
||||
raise RuntimeError(
|
||||
"fid manifest does not match current dataset; rebuild required"
|
||||
)
|
||||
count = int(
|
||||
manifest._require()
|
||||
.execute("SELECT COUNT(*) FROM manifest_identity")
|
||||
.fetchone()[0]
|
||||
)
|
||||
return {
|
||||
"dataset_id": dataset_id,
|
||||
"dataset_fingerprint": fingerprint,
|
||||
"identity_count": count,
|
||||
"manifest": str(manifest_path),
|
||||
}
|
||||
495
src/cm95pbf/mapping.py
Normal file
495
src/cm95pbf/mapping.py
Normal file
@@ -0,0 +1,495 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
import yaml
|
||||
|
||||
|
||||
DELIVERY_PROPERTY_ALLOWLIST = frozenset(
|
||||
{
|
||||
"canonical_object_type",
|
||||
"class_code",
|
||||
"chart_fill_pattern",
|
||||
"chart_fill_style",
|
||||
"chart_icon_image",
|
||||
"chart_label_position_code",
|
||||
"chart_label_subtext",
|
||||
"chart_label_text",
|
||||
"chart_line_color",
|
||||
"chart_line_width",
|
||||
"chart_symbol_code",
|
||||
"chart_text_color",
|
||||
"chart_text_style",
|
||||
"clearance_height_m",
|
||||
"depth_value_m",
|
||||
"display_code",
|
||||
"least_depth_m",
|
||||
"light_color_code",
|
||||
"light_sector_mode",
|
||||
"arc_id",
|
||||
"arc_source_code",
|
||||
"name_ja",
|
||||
"place_name_en",
|
||||
"shape_class_code",
|
||||
}
|
||||
)
|
||||
|
||||
DELIVERY_MAIN_STATUSES = frozenset(
|
||||
{
|
||||
"MAPPED",
|
||||
"MAPPED_CONDITIONAL",
|
||||
"COMPOSITE",
|
||||
"MAPPED_DERIVED_POINTS",
|
||||
}
|
||||
)
|
||||
|
||||
DELIVERY_DERIVED_STATUSES = frozenset(
|
||||
{
|
||||
"MAPPED",
|
||||
"MAPPED_CONDITIONAL",
|
||||
"DERIVED_LABEL_ONLY",
|
||||
}
|
||||
)
|
||||
|
||||
NAV_COMPONENT_CLASSES = frozenset(
|
||||
{
|
||||
"LIGHTS",
|
||||
"BCNLAT",
|
||||
"BCNSPP",
|
||||
"BOYSPP",
|
||||
"RTPBCN",
|
||||
"TOWERS",
|
||||
"_extgn",
|
||||
}
|
||||
)
|
||||
|
||||
LIGHT_COLOUR = {
|
||||
1: ("white", "W"),
|
||||
3: ("red", "R"),
|
||||
4: ("green", "G"),
|
||||
6: ("yellow", "Y"),
|
||||
}
|
||||
|
||||
LIGHT_CHARACTER = {
|
||||
1: "F",
|
||||
2: "Fl",
|
||||
3: "LFl",
|
||||
4: "Q",
|
||||
5: "VQ",
|
||||
6: "UQ",
|
||||
7: "Iso",
|
||||
8: "Oc",
|
||||
9: "IQ",
|
||||
10: "IVQ",
|
||||
11: "IUQ",
|
||||
12: "Mo",
|
||||
13: "F+Fl",
|
||||
14: "Fl+LFl",
|
||||
15: "Oc+Fl",
|
||||
16: "F+LFl",
|
||||
17: "Al.Oc",
|
||||
18: "Al.LFl",
|
||||
19: "Al.Fl",
|
||||
20: "Al.Gr",
|
||||
21: "Q+LFl",
|
||||
22: "VQ+LFl",
|
||||
23: "UQ+LFl",
|
||||
}
|
||||
|
||||
NATSUR_TEXT = {
|
||||
1: "M",
|
||||
2: "Cy",
|
||||
3: "Si",
|
||||
4: "S",
|
||||
5: "St",
|
||||
6: "G",
|
||||
7: "P",
|
||||
8: "Cb",
|
||||
9: "R",
|
||||
11: "Lv",
|
||||
14: "Co",
|
||||
17: "Sh",
|
||||
18: "Bo",
|
||||
}
|
||||
|
||||
|
||||
def scalarize(value: Any) -> Any:
|
||||
if value is None:
|
||||
return None
|
||||
if isinstance(value, bool):
|
||||
return value
|
||||
if isinstance(value, (int, float, str)):
|
||||
return value
|
||||
if isinstance(value, (list, dict, tuple)):
|
||||
return json.dumps(value, ensure_ascii=False, separators=(",", ":"))
|
||||
return str(value)
|
||||
|
||||
|
||||
def get_path(data: dict[str, Any], path: str) -> Any:
|
||||
cur: Any = data
|
||||
for token in str(path).split("."):
|
||||
if isinstance(cur, dict) and token in cur:
|
||||
cur = cur[token]
|
||||
else:
|
||||
return None
|
||||
return cur
|
||||
|
||||
|
||||
|
||||
def first_direct_name(attrs: dict[str, Any]) -> str | None:
|
||||
"""Return a direct source-owned navigation name, never a proximity-derived text."""
|
||||
for key in ("OBJNAM", "NOBJNM"):
|
||||
value = attrs.get(key)
|
||||
if isinstance(value, str):
|
||||
value = value.strip()
|
||||
if value:
|
||||
return value
|
||||
return None
|
||||
|
||||
|
||||
def unique_direct_names(rows: list[dict[str, Any]]) -> list[str]:
|
||||
out: list[str] = []
|
||||
for attrs in rows:
|
||||
value = first_direct_name(attrs)
|
||||
if value and value not in out:
|
||||
out.append(value)
|
||||
return out
|
||||
|
||||
|
||||
def format_number(value: Any) -> str:
|
||||
if value is None:
|
||||
return ""
|
||||
try:
|
||||
v = float(value)
|
||||
except Exception:
|
||||
return str(value)
|
||||
if abs(v - round(v)) < 1e-9:
|
||||
return str(int(round(v)))
|
||||
return f"{v:.2f}".rstrip("0").rstrip(".")
|
||||
|
||||
|
||||
def format_depth(value: Any) -> str | None:
|
||||
if value is None:
|
||||
return None
|
||||
return format_number(value)
|
||||
|
||||
|
||||
def format_clearance(value: Any) -> str | None:
|
||||
if value is None:
|
||||
return None
|
||||
return f"{format_number(value)}m"
|
||||
|
||||
|
||||
def _depth_token(value: Any) -> str:
|
||||
return format_number(value)
|
||||
|
||||
|
||||
# Current NavSea unified style only consumes these depth-area buckets.
|
||||
# Keep this list aligned with style.navsea-delivery-full-semantic-unified-20260808.
|
||||
NAVSEA_DEPTH_ZONE_INTERVALS: tuple[tuple[float, float, str], ...] = (
|
||||
(0, 2, "depth_zone_0-2m"),
|
||||
(0, 5, "depth_zone_0-5m"),
|
||||
(0, 10, "depth_zone_0-10m"),
|
||||
(0, 20, "depth_zone_0-20m"),
|
||||
(2, 5, "depth_zone_2-5m"),
|
||||
(2, 10, "depth_zone_2-10m"),
|
||||
(2, 20, "depth_zone_2-20m"),
|
||||
(5, 10, "depth_zone_5-10m"),
|
||||
(5, 20, "depth_zone_5-20m"),
|
||||
(10, 20, "depth_zone_10-20m"),
|
||||
(20, 100, "depth_zone_20-100m"),
|
||||
(20, 200, "depth_zone_20-200m"),
|
||||
(100, 200, "depth_zone_100-200m"),
|
||||
(200, 500, "depth_zone_200-500m"),
|
||||
(500, 1000, "depth_zone_500-1000m"),
|
||||
(1000, 2000, "depth_zone_1000-2000m"),
|
||||
(2000, 3000, "depth_zone_2000-3000m"),
|
||||
(3000, 4000, "depth_zone_3000-4000m"),
|
||||
(4000, 5000, "depth_zone_4000-5000m"),
|
||||
(5000, 6000, "depth_zone_5000-6000m"),
|
||||
(6000, 7000, "depth_zone_6000-7000m"),
|
||||
(7000, 8000, "depth_zone_7000-8000m"),
|
||||
(8000, 9000, "depth_zone_8000-9000m"),
|
||||
)
|
||||
|
||||
|
||||
def _smallest_supported_depth_bucket(lo: float, hi: float | None) -> str | None:
|
||||
if lo >= 9000 and (hi is None or hi >= lo):
|
||||
return "depth_zone_over_9000m"
|
||||
|
||||
candidates: list[tuple[float, float, float, str]] = []
|
||||
for bucket_lo, bucket_hi, token in NAVSEA_DEPTH_ZONE_INTERVALS:
|
||||
if hi is None:
|
||||
# A lower-bounded zone uses the tightest bucket containing the lower bound.
|
||||
if bucket_lo <= lo < bucket_hi:
|
||||
width = bucket_hi - bucket_lo
|
||||
edge_distance = abs(bucket_lo - lo)
|
||||
candidates.append((width, edge_distance, -bucket_lo, token))
|
||||
else:
|
||||
# Prefer the smallest supported interval that fully contains the source range.
|
||||
if bucket_lo <= lo and hi <= bucket_hi:
|
||||
width = bucket_hi - bucket_lo
|
||||
edge_distance = abs(bucket_lo - lo) + abs(bucket_hi - hi)
|
||||
candidates.append((width, edge_distance, -bucket_lo, token))
|
||||
|
||||
if not candidates:
|
||||
return None
|
||||
candidates.sort()
|
||||
return candidates[0][3]
|
||||
|
||||
|
||||
def depth_zone_style(lo: Any, hi: Any) -> str:
|
||||
"""Normalize CM95 depth ranges to the existing NavSea style vocabulary.
|
||||
|
||||
Arbitrary CM95 intervals such as 7.5-10m, 13-20m or 20-50m must never
|
||||
leak into delivery PBF because the current style does not consume them.
|
||||
The chosen style bucket is the smallest existing NavSea interval that fully
|
||||
contains the source range. The original DRVAL1/DRVAL2 remain available in
|
||||
engineering trace/source attributes.
|
||||
"""
|
||||
if lo is None and hi is None:
|
||||
return "water_area"
|
||||
|
||||
try:
|
||||
lv = float(lo) if lo is not None else 0.0
|
||||
except Exception:
|
||||
return "water_area"
|
||||
|
||||
hv: float | None
|
||||
if hi is None:
|
||||
hv = None
|
||||
else:
|
||||
try:
|
||||
hv = float(hi)
|
||||
except Exception:
|
||||
hv = None
|
||||
|
||||
if hv is not None and hv < lv:
|
||||
lv, hv = hv, lv
|
||||
|
||||
token = _smallest_supported_depth_bucket(lv, hv)
|
||||
if token is not None:
|
||||
return token
|
||||
|
||||
# No truthful single bucket exists in the current style vocabulary.
|
||||
# Use neutral water rather than inventing a style value that will not render.
|
||||
return "water_area"
|
||||
|
||||
|
||||
def format_natsur(natsur: Any, natqua: Any) -> str | None:
|
||||
values = natsur if isinstance(natsur, list) else [natsur] if natsur is not None else []
|
||||
parts: list[str] = []
|
||||
for value in values:
|
||||
try:
|
||||
code = int(value)
|
||||
except Exception:
|
||||
code = None
|
||||
text = NATSUR_TEXT.get(code, str(value) if value is not None else "")
|
||||
if text and text not in parts:
|
||||
parts.append(text)
|
||||
if not parts:
|
||||
return None
|
||||
return "/".join(parts)
|
||||
|
||||
|
||||
def s57_light_color(colour: Any) -> str | None:
|
||||
values = colour if isinstance(colour, list) else [colour] if colour is not None else []
|
||||
for value in values:
|
||||
try:
|
||||
code = int(value)
|
||||
except Exception:
|
||||
continue
|
||||
if code in LIGHT_COLOUR:
|
||||
return LIGHT_COLOUR[code][0]
|
||||
return None
|
||||
|
||||
|
||||
def light_colour_abbrs(colour: Any) -> list[str]:
|
||||
values = colour if isinstance(colour, list) else [colour] if colour is not None else []
|
||||
out: list[str] = []
|
||||
for value in values:
|
||||
try:
|
||||
code = int(value)
|
||||
except Exception:
|
||||
continue
|
||||
item = LIGHT_COLOUR.get(code)
|
||||
if item and item[1] not in out:
|
||||
out.append(item[1])
|
||||
return out
|
||||
|
||||
|
||||
def format_light_abbreviation(attrs: dict[str, Any]) -> str | None:
|
||||
parts: list[str] = []
|
||||
litchr = attrs.get("LITCHR")
|
||||
if litchr is not None:
|
||||
try:
|
||||
char = LIGHT_CHARACTER.get(int(litchr), f"L{int(litchr)}")
|
||||
except Exception:
|
||||
char = str(litchr)
|
||||
siggrp = attrs.get("SIGGRP")
|
||||
if siggrp and str(siggrp) not in {"(1)", "1"}:
|
||||
char += str(siggrp)
|
||||
parts.append(char)
|
||||
|
||||
colours = light_colour_abbrs(attrs.get("COLOUR"))
|
||||
if colours:
|
||||
parts.append(",".join(colours))
|
||||
|
||||
if attrs.get("SIGPER") is not None:
|
||||
parts.append(f"{format_number(attrs['SIGPER'])}s")
|
||||
if attrs.get("HEIGHT") is not None:
|
||||
parts.append(f"{format_number(attrs['HEIGHT'])}m")
|
||||
if attrs.get("VALNMR") is not None:
|
||||
parts.append(f"{format_number(attrs['VALNMR'])}M")
|
||||
|
||||
if not parts:
|
||||
colours = light_colour_abbrs(attrs.get("COLOUR"))
|
||||
if colours:
|
||||
return ",".join(colours)
|
||||
return None
|
||||
return " ".join(parts)
|
||||
|
||||
|
||||
def nav_icon_from_bcnlat(attrs: dict[str, Any], lighted: bool = False) -> str:
|
||||
try:
|
||||
cat = int(attrs.get("CATLAM"))
|
||||
except Exception:
|
||||
cat = 0
|
||||
suffix = {
|
||||
1: "port",
|
||||
2: "starboard",
|
||||
3: "starboard",
|
||||
4: "port",
|
||||
}.get(cat, "special")
|
||||
if lighted:
|
||||
return f"beacon_light_mark_{suffix}"
|
||||
return f"beacon_small_{suffix}"
|
||||
|
||||
|
||||
def nav_icon_from_bcnspp(attrs: dict[str, Any], lighted: bool = False) -> str:
|
||||
return "beacon_light_mark_special" if lighted else "beacon_small_special"
|
||||
|
||||
|
||||
def nav_icon_from_boyspp(attrs: dict[str, Any], lighted: bool = False) -> str:
|
||||
try:
|
||||
shape = int(attrs.get("BOYSHP"))
|
||||
except Exception:
|
||||
shape = 0
|
||||
if lighted:
|
||||
if shape == 4:
|
||||
return "buoy_pillar_light_special"
|
||||
return "buoy_light_special"
|
||||
return {
|
||||
1: "buoy_cone",
|
||||
2: "buoy_cylinder",
|
||||
3: "buoy_sphere",
|
||||
4: "buoy_pillar",
|
||||
6: "buoy_barrel_light",
|
||||
}.get(shape, "buoy_lattice_special")
|
||||
|
||||
|
||||
def nav_icon_from_rtpbcn(attrs: dict[str, Any], lighted: bool = False) -> str:
|
||||
return "beacon_light" if lighted else "beacon_large"
|
||||
|
||||
|
||||
class MappingRegistry:
|
||||
def __init__(self, path: Path):
|
||||
self.path = Path(path)
|
||||
self.document = yaml.safe_load(self.path.read_text(encoding="utf-8"))
|
||||
self.rules: dict[tuple[str, str], dict[str, Any]] = {}
|
||||
for rule in self.document.get("rules", []):
|
||||
key = (
|
||||
str(rule.get("cm95_object_class") or ""),
|
||||
str(rule.get("geometry_type") or ""),
|
||||
)
|
||||
self.rules[key] = rule
|
||||
|
||||
def resolve(self, object_class: str, geometry_type: str) -> dict[str, Any] | None:
|
||||
return self.rules.get((str(object_class), str(geometry_type)))
|
||||
|
||||
def eval_condition(self, condition: Any, attrs: dict[str, Any]) -> bool:
|
||||
if condition is None or condition == "":
|
||||
return True
|
||||
text = str(condition).strip()
|
||||
if text.endswith(" present"):
|
||||
field = text[:-8].strip()
|
||||
return get_path(attrs, field) is not None
|
||||
return False
|
||||
|
||||
def evaluate_fields(
|
||||
self,
|
||||
field_spec: dict[str, Any],
|
||||
attrs: dict[str, Any],
|
||||
context: dict[str, Any] | None = None,
|
||||
) -> dict[str, Any]:
|
||||
context = context or {}
|
||||
merged = dict(attrs)
|
||||
merged.update(context)
|
||||
out: dict[str, Any] = {}
|
||||
for field, spec in (field_spec or {}).items():
|
||||
value = self._evaluate_spec(spec, merged)
|
||||
value = scalarize(value)
|
||||
if value is not None and value != "":
|
||||
out[str(field)] = value
|
||||
return out
|
||||
|
||||
def _evaluate_spec(self, spec: Any, attrs: dict[str, Any]) -> Any:
|
||||
if not isinstance(spec, dict):
|
||||
return spec
|
||||
if "const" in spec:
|
||||
return spec["const"]
|
||||
if "from" in spec:
|
||||
return get_path(attrs, str(spec["from"]))
|
||||
derive = spec.get("derive")
|
||||
if derive is None:
|
||||
return None
|
||||
text = str(derive)
|
||||
|
||||
if text == "wreck_surveyed if VALSOU present else wreck_submerged_dangerous":
|
||||
return "wreck_surveyed" if attrs.get("VALSOU") is not None else "wreck_submerged_dangerous"
|
||||
if text == "rock_awash if WATLEV in [2,4,5] else rock_submerged":
|
||||
try:
|
||||
watlev = int(attrs.get("WATLEV"))
|
||||
except Exception:
|
||||
watlev = None
|
||||
return "rock_awash" if watlev in {2, 4, 5} else "rock_submerged"
|
||||
if text == "format_depth(VALDCO)":
|
||||
return format_depth(attrs.get("VALDCO"))
|
||||
if text == "format_depth(chart_sounding_point.depth)":
|
||||
return format_depth(get_path(attrs, "chart_sounding_point.depth"))
|
||||
if text == "depth_zone_style(DRVAL1,DRVAL2)":
|
||||
return depth_zone_style(attrs.get("DRVAL1"), attrs.get("DRVAL2"))
|
||||
if text == "depth_zone_style(DRVAL1,null)":
|
||||
return depth_zone_style(attrs.get("DRVAL1"), None)
|
||||
if text == "format_natsur(NATSUR,NATQUA)":
|
||||
return format_natsur(attrs.get("NATSUR"), attrs.get("NATQUA"))
|
||||
if text == "_texta.text":
|
||||
return get_path(attrs, "_texta.text")
|
||||
if text == "s57_colour_to_light_color(COLOUR)":
|
||||
return s57_light_color(attrs.get("COLOUR"))
|
||||
if text == "format_light_abbreviation(LITCHR,SIGGRP,SIGPER,COLOUR,HEIGHT,VALNMR)":
|
||||
return format_light_abbreviation(attrs)
|
||||
if text == "first_present(OBJNAM,NOBJNM)":
|
||||
return first_direct_name(attrs)
|
||||
if text == "sector if SECTR1/SECTR2 present else omni":
|
||||
return "sector" if attrs.get("SECTR1") is not None or attrs.get("SECTR2") is not None else "omni"
|
||||
if text == "format_clearance(VERCLR)":
|
||||
return format_clearance(attrs.get("VERCLR"))
|
||||
if text == "nav_icon_from_bcnlat_attributes":
|
||||
return nav_icon_from_bcnlat(attrs, lighted=False)
|
||||
if text == "nav_icon_from_bcnspp_attributes":
|
||||
return nav_icon_from_bcnspp(attrs, lighted=False)
|
||||
if text == "nav_icon_from_boyspp_attributes":
|
||||
return nav_icon_from_boyspp(attrs, lighted=False)
|
||||
if text == "nav_icon_from_rtpbcn_attributes":
|
||||
return nav_icon_from_rtpbcn(attrs, lighted=False)
|
||||
return None
|
||||
|
||||
def minimize_delivery_properties(self, properties: dict[str, Any]) -> dict[str, Any]:
|
||||
return {
|
||||
key: scalarize(value)
|
||||
for key, value in properties.items()
|
||||
if key in DELIVERY_PROPERTY_ALLOWLIST and scalarize(value) is not None
|
||||
}
|
||||
98
src/cm95pbf/policy.py
Normal file
98
src/cm95pbf/policy.py
Normal file
@@ -0,0 +1,98 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from dataclasses import dataclass
|
||||
import math
|
||||
|
||||
WEB_MERCATOR_HALF_WORLD = 20037508.342789244
|
||||
MAX_MERCATOR_LAT = 85.0511287798066
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class TileBounds:
|
||||
z: int
|
||||
x: int
|
||||
y: int
|
||||
west_m: float
|
||||
south_m: float
|
||||
east_m: float
|
||||
north_m: float
|
||||
|
||||
@property
|
||||
def width_m(self) -> float:
|
||||
return self.east_m - self.west_m
|
||||
|
||||
@property
|
||||
def height_m(self) -> float:
|
||||
return self.north_m - self.south_m
|
||||
|
||||
@property
|
||||
def mercator_tuple(self) -> tuple[float, float, float, float]:
|
||||
return self.west_m, self.south_m, self.east_m, self.north_m
|
||||
|
||||
@property
|
||||
def wgs84_tuple(self) -> tuple[float, float, float, float]:
|
||||
west, south = mercator_to_lonlat(self.west_m, self.south_m)
|
||||
east, north = mercator_to_lonlat(self.east_m, self.north_m)
|
||||
return west, south, east, north
|
||||
|
||||
|
||||
def lonlat_to_mercator(lon: float, lat: float) -> tuple[float, float]:
|
||||
lat = max(-MAX_MERCATOR_LAT, min(MAX_MERCATOR_LAT, float(lat)))
|
||||
x = WEB_MERCATOR_HALF_WORLD * float(lon) / 180.0
|
||||
y = math.log(math.tan((90.0 + lat) * math.pi / 360.0)) / (math.pi / 180.0)
|
||||
y = WEB_MERCATOR_HALF_WORLD * y / 180.0
|
||||
return x, y
|
||||
|
||||
|
||||
def mercator_to_lonlat(x: float, y: float) -> tuple[float, float]:
|
||||
lon = float(x) / WEB_MERCATOR_HALF_WORLD * 180.0
|
||||
lat = float(y) / WEB_MERCATOR_HALF_WORLD * 180.0
|
||||
lat = 180.0 / math.pi * (
|
||||
2.0 * math.atan(math.exp(lat * math.pi / 180.0)) - math.pi / 2.0
|
||||
)
|
||||
return lon, lat
|
||||
|
||||
|
||||
def xyz_tile_bounds(z: int, x: int, y: int) -> TileBounds:
|
||||
n = 1 << int(z)
|
||||
if x < 0 or y < 0 or x >= n or y >= n:
|
||||
raise ValueError(f"invalid XYZ tile z={z} x={x} y={y}")
|
||||
tile_size = (WEB_MERCATOR_HALF_WORLD * 2.0) / n
|
||||
west = -WEB_MERCATOR_HALF_WORLD + x * tile_size
|
||||
east = west + tile_size
|
||||
north = WEB_MERCATOR_HALF_WORLD - y * tile_size
|
||||
south = north - tile_size
|
||||
return TileBounds(
|
||||
z=z,
|
||||
x=x,
|
||||
y=y,
|
||||
west_m=west,
|
||||
south_m=south,
|
||||
east_m=east,
|
||||
north_m=north,
|
||||
)
|
||||
|
||||
|
||||
def expanded_mercator_bounds(
|
||||
tile: TileBounds,
|
||||
buffer_tile_pixels: float,
|
||||
nominal_tile_pixels: float = 256.0,
|
||||
) -> tuple[float, float, float, float]:
|
||||
pad = tile.width_m * float(buffer_tile_pixels) / float(nominal_tile_pixels)
|
||||
return (
|
||||
tile.west_m - pad,
|
||||
tile.south_m - pad,
|
||||
tile.east_m + pad,
|
||||
tile.north_m + pad,
|
||||
)
|
||||
|
||||
|
||||
def child_tiles(z: int, x: int, y: int, child_z: int) -> list[tuple[int, int, int]]:
|
||||
if child_z < z:
|
||||
raise ValueError("child_z must be >= z")
|
||||
factor = 1 << (child_z - z)
|
||||
out: list[tuple[int, int, int]] = []
|
||||
for cx in range(x * factor, (x + 1) * factor):
|
||||
for cy in range(y * factor, (y + 1) * factor):
|
||||
out.append((child_z, cx, cy))
|
||||
return out
|
||||
826
src/cm95pbf/production.py
Normal file
826
src/cm95pbf/production.py
Normal file
@@ -0,0 +1,826 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from concurrent.futures import ThreadPoolExecutor, as_completed
|
||||
from collections import Counter
|
||||
from dataclasses import dataclass
|
||||
from datetime import datetime, timezone
|
||||
import hashlib
|
||||
import json
|
||||
import math
|
||||
import os
|
||||
from pathlib import Path
|
||||
import shutil
|
||||
import sqlite3
|
||||
import threading
|
||||
import traceback
|
||||
from typing import Any, Iterable
|
||||
|
||||
import pymysql
|
||||
from shapely import wkb
|
||||
from shapely.geometry import box
|
||||
from shapely.ops import transform
|
||||
|
||||
from cm93db.config import DbConfig
|
||||
|
||||
from . import BUILDER_CONTRACT_VERSION
|
||||
from .builder import Cm95TileBuilder, TileJob
|
||||
from .identity import dataset_fingerprint, validate_manifest
|
||||
from .policy import (
|
||||
WEB_MERCATOR_HALF_WORLD,
|
||||
lonlat_to_mercator,
|
||||
xyz_tile_bounds,
|
||||
)
|
||||
|
||||
|
||||
PRODUCTION_PLAN_SCHEMA = "navsea.cm95.production-plan/v1"
|
||||
PRODUCTION_RUN_SCHEMA = "navsea.cm95.production-run/v1"
|
||||
|
||||
|
||||
def utc_now() -> str:
|
||||
return datetime.now(timezone.utc).isoformat(timespec="seconds").replace("+00:00", "Z")
|
||||
|
||||
|
||||
def sha256_file(path: Path) -> str:
|
||||
h = hashlib.sha256()
|
||||
with Path(path).open("rb") as f:
|
||||
for chunk in iter(lambda: f.read(1024 * 1024), b""):
|
||||
h.update(chunk)
|
||||
return h.hexdigest()
|
||||
|
||||
|
||||
def canonical_sha256(obj: Any) -> str:
|
||||
raw = json.dumps(obj, ensure_ascii=False, sort_keys=True, separators=(",", ":")).encode("utf-8")
|
||||
return hashlib.sha256(raw).hexdigest()
|
||||
|
||||
|
||||
def parse_zooms(value: str | Iterable[int]) -> list[int]:
|
||||
if isinstance(value, str):
|
||||
values: list[int] = []
|
||||
for token in value.split(","):
|
||||
token = token.strip()
|
||||
if not token:
|
||||
continue
|
||||
if "-" in token:
|
||||
parts = token.split("-", 1)
|
||||
if len(parts) != 2 or not parts[0].strip() or not parts[1].strip():
|
||||
raise ValueError(f"invalid zoom range: {token}")
|
||||
start = int(parts[0].strip())
|
||||
end = int(parts[1].strip())
|
||||
if end < start:
|
||||
raise ValueError(f"invalid zoom range: {token}")
|
||||
values.extend(range(start, end + 1))
|
||||
else:
|
||||
values.append(int(token))
|
||||
else:
|
||||
values = [int(v) for v in value]
|
||||
values = sorted(set(values))
|
||||
if not values:
|
||||
raise ValueError("zooms 不能为空")
|
||||
for z in values:
|
||||
if z < 0 or z > 22:
|
||||
raise ValueError(f"invalid zoom: {z}")
|
||||
return values
|
||||
|
||||
|
||||
def _load_policy(path: Path) -> dict[str, Any]:
|
||||
import yaml
|
||||
return yaml.safe_load(Path(path).read_text(encoding="utf-8"))
|
||||
|
||||
|
||||
def _scale_ladder(policy: dict[str, Any], z: int) -> list[int]:
|
||||
raw = (policy.get("scale_ladders") or {}).get(str(z))
|
||||
if not raw:
|
||||
raise RuntimeError(f"no scale ladder configured for z{z}")
|
||||
return [int(v) for v in raw]
|
||||
|
||||
|
||||
def _enumeration_scales(policy: dict[str, Any], z: int) -> list[int]:
|
||||
"""Return scales allowed to materialize physical tiles at a zoom.
|
||||
|
||||
This is intentionally distinct from scale_ladders: coarse fallback scales may
|
||||
be read *inside* an already materialized tile, but they must not expand the
|
||||
high-zoom production footprint.
|
||||
"""
|
||||
raw = (policy.get("enumeration_scales") or {}).get(str(z))
|
||||
if raw:
|
||||
return [int(v) for v in raw]
|
||||
return _scale_ladder(policy, z)
|
||||
|
||||
|
||||
def _mercator_geom_from_wkb(value: Any):
|
||||
if value is None:
|
||||
return None
|
||||
if isinstance(value, memoryview):
|
||||
value = value.tobytes()
|
||||
elif isinstance(value, bytearray):
|
||||
value = bytes(value)
|
||||
geom = wkb.loads(value)
|
||||
if geom is None or geom.is_empty:
|
||||
return None
|
||||
return transform(lambda x, y, z=None: lonlat_to_mercator(x, y), geom)
|
||||
|
||||
|
||||
def _mercator_tile_index(z: int, x_m: float, y_m: float) -> tuple[int, int]:
|
||||
n = 1 << int(z)
|
||||
world = WEB_MERCATOR_HALF_WORLD * 2.0
|
||||
tx = math.floor((float(x_m) + WEB_MERCATOR_HALF_WORLD) / world * n)
|
||||
ty = math.floor((WEB_MERCATOR_HALF_WORLD - float(y_m)) / world * n)
|
||||
return max(0, min(n - 1, tx)), max(0, min(n - 1, ty))
|
||||
|
||||
|
||||
def _tiles_intersecting_geom(z: int, geom) -> set[tuple[int, int, int]]:
|
||||
if geom is None or geom.is_empty:
|
||||
return set()
|
||||
minx, miny, maxx, maxy = geom.bounds
|
||||
x0, y1 = _mercator_tile_index(z, minx, miny)
|
||||
x1, y0 = _mercator_tile_index(z, maxx, maxy)
|
||||
xlo, xhi = sorted((x0, x1))
|
||||
ylo, yhi = sorted((y0, y1))
|
||||
out: set[tuple[int, int, int]] = set()
|
||||
for x in range(xlo, xhi + 1):
|
||||
for y in range(ylo, yhi + 1):
|
||||
tile_box = box(*xyz_tile_bounds(z, x, y).mercator_tuple)
|
||||
if geom.intersects(tile_box):
|
||||
out.add((z, x, y))
|
||||
return out
|
||||
|
||||
|
||||
def _connect(db: DbConfig):
|
||||
return pymysql.connect(
|
||||
host=db.host,
|
||||
port=db.port,
|
||||
user=db.user,
|
||||
password=db.password,
|
||||
database=db.database,
|
||||
charset=db.charset,
|
||||
cursorclass=pymysql.cursors.DictCursor,
|
||||
autocommit=False,
|
||||
connect_timeout=20,
|
||||
read_timeout=900,
|
||||
write_timeout=30,
|
||||
)
|
||||
|
||||
|
||||
def _fetch_plan_geometries(conn, dataset_id: int, scales: list[int]):
|
||||
placeholders = ",".join(["%s"] * len(scales))
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(
|
||||
f"""
|
||||
SELECT
|
||||
id,
|
||||
native_scale,
|
||||
bbox_min_lon,
|
||||
bbox_min_lat,
|
||||
bbox_max_lon,
|
||||
bbox_max_lat
|
||||
FROM chart_cell
|
||||
WHERE dataset_id=%s
|
||||
AND native_scale IN ({placeholders})
|
||||
ORDER BY native_scale, id
|
||||
""",
|
||||
(dataset_id, *scales),
|
||||
)
|
||||
cells = list(cur.fetchall())
|
||||
|
||||
if not cells:
|
||||
return []
|
||||
|
||||
cell_ids = [int(c["id"]) for c in cells]
|
||||
ph = ",".join(["%s"] * len(cell_ids))
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(
|
||||
f"""
|
||||
SELECT cell_id, ST_AsWKB(geom) AS geom_wkb
|
||||
FROM chart_coverage
|
||||
WHERE dataset_id=%s
|
||||
AND cell_id IN ({ph})
|
||||
ORDER BY cell_id, id
|
||||
""",
|
||||
(dataset_id, *cell_ids),
|
||||
)
|
||||
coverage_rows = list(cur.fetchall())
|
||||
|
||||
by_cell: dict[int, list[Any]] = {}
|
||||
for row in coverage_rows:
|
||||
geom = _mercator_geom_from_wkb(row["geom_wkb"])
|
||||
if geom is None:
|
||||
continue
|
||||
by_cell.setdefault(int(row["cell_id"]), []).append(geom)
|
||||
|
||||
pieces: list[tuple[int, int, Any, str]] = []
|
||||
for cell in cells:
|
||||
cid = int(cell["id"])
|
||||
scale = int(cell["native_scale"])
|
||||
geoms = by_cell.get(cid)
|
||||
if geoms:
|
||||
for geom in geoms:
|
||||
pieces.append((cid, scale, geom, "coverage"))
|
||||
continue
|
||||
minx, miny = lonlat_to_mercator(float(cell["bbox_min_lon"]), float(cell["bbox_min_lat"]))
|
||||
maxx, maxy = lonlat_to_mercator(float(cell["bbox_max_lon"]), float(cell["bbox_max_lat"]))
|
||||
pieces.append((cid, scale, box(minx, miny, maxx, maxy), "cell_bbox_fallback"))
|
||||
return pieces
|
||||
|
||||
|
||||
def create_production_plan(
|
||||
db: DbConfig,
|
||||
dataset_id: int,
|
||||
mapping_path: Path,
|
||||
policy_path: Path,
|
||||
manifest_path: Path,
|
||||
output_path: Path,
|
||||
zooms: list[int],
|
||||
profile: str = "delivery",
|
||||
) -> dict[str, Any]:
|
||||
if profile not in {"delivery", "engineering"}:
|
||||
raise ValueError("profile must be delivery or engineering")
|
||||
mapping_path = Path(mapping_path)
|
||||
policy_path = Path(policy_path)
|
||||
manifest_path = Path(manifest_path)
|
||||
output_path = Path(output_path)
|
||||
policy = _load_policy(policy_path)
|
||||
zooms = parse_zooms(zooms)
|
||||
|
||||
all_scales = sorted({s for z in zooms for s in _enumeration_scales(policy, z)})
|
||||
|
||||
with _connect(db) as conn:
|
||||
try:
|
||||
conn.cursor().execute("SET SESSION TRANSACTION READ ONLY")
|
||||
except Exception:
|
||||
pass
|
||||
fingerprint = dataset_fingerprint(conn, dataset_id)
|
||||
manifest_info = validate_manifest(conn, dataset_id, manifest_path)
|
||||
pieces = _fetch_plan_geometries(conn, dataset_id, all_scales)
|
||||
conn.rollback()
|
||||
|
||||
jobs: set[tuple[int, int, int]] = set()
|
||||
source_stats: dict[str, Any] = {}
|
||||
for z in zooms:
|
||||
ladder = _scale_ladder(policy, z)
|
||||
enumeration = _enumeration_scales(policy, z)
|
||||
enumeration_set = set(enumeration)
|
||||
z_pieces = [(cid, scale, geom, src) for cid, scale, geom, src in pieces if scale in enumeration_set]
|
||||
z_jobs: set[tuple[int, int, int]] = set()
|
||||
fallback_pieces = 0
|
||||
for _cid, _scale, geom, source in z_pieces:
|
||||
if source == "cell_bbox_fallback":
|
||||
fallback_pieces += 1
|
||||
z_jobs |= _tiles_intersecting_geom(z, geom)
|
||||
jobs |= z_jobs
|
||||
source_stats[str(z)] = {
|
||||
"enumeration_scales": enumeration,
|
||||
"scale_ladder": ladder,
|
||||
"coverage_pieces": len(z_pieces),
|
||||
"cell_bbox_fallback_pieces": fallback_pieces,
|
||||
"tile_count": len(z_jobs),
|
||||
}
|
||||
|
||||
job_rows = [
|
||||
{"z": z, "x": x, "y": y}
|
||||
for z, x, y in sorted(jobs)
|
||||
]
|
||||
|
||||
immutable = {
|
||||
"schema": PRODUCTION_PLAN_SCHEMA,
|
||||
"dataset_id": int(dataset_id),
|
||||
"dataset_fingerprint": fingerprint,
|
||||
"profile": profile,
|
||||
"zooms": zooms,
|
||||
"mapping_sha256": sha256_file(mapping_path),
|
||||
"policy_sha256": sha256_file(policy_path),
|
||||
"builder_contract_version": BUILDER_CONTRACT_VERSION,
|
||||
"manifest_dataset_fingerprint": manifest_info["dataset_fingerprint"],
|
||||
"manifest_identity_count": int(manifest_info["identity_count"]),
|
||||
"jobs": job_rows,
|
||||
}
|
||||
plan_id = canonical_sha256(immutable)
|
||||
plan = {
|
||||
**immutable,
|
||||
"plan_id": plan_id,
|
||||
"release_id": f"cm95-d{int(dataset_id)}-{fingerprint[:12]}-{plan_id[:12]}",
|
||||
"created_at": utc_now(),
|
||||
"mapping_path": str(mapping_path),
|
||||
"policy_path": str(policy_path),
|
||||
"manifest_path": str(manifest_path),
|
||||
"source_stats": source_stats,
|
||||
"job_count": len(job_rows),
|
||||
}
|
||||
output_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
output_path.write_text(json.dumps(plan, ensure_ascii=False, indent=2), encoding="utf-8")
|
||||
return plan
|
||||
|
||||
|
||||
def load_plan(path: Path) -> dict[str, Any]:
|
||||
obj = json.loads(Path(path).read_text(encoding="utf-8"))
|
||||
if obj.get("schema") != PRODUCTION_PLAN_SCHEMA:
|
||||
raise RuntimeError(f"unsupported plan schema: {obj.get('schema')}")
|
||||
return obj
|
||||
|
||||
|
||||
class ProductionLedger:
|
||||
def __init__(self, path: Path):
|
||||
self.path = Path(path)
|
||||
self._lock = threading.Lock()
|
||||
self.path.parent.mkdir(parents=True, exist_ok=True)
|
||||
self._init()
|
||||
|
||||
def _conn(self):
|
||||
db = sqlite3.connect(self.path, timeout=30)
|
||||
db.row_factory = sqlite3.Row
|
||||
db.execute("PRAGMA journal_mode=WAL")
|
||||
db.execute("PRAGMA synchronous=NORMAL")
|
||||
return db
|
||||
|
||||
def _init(self):
|
||||
with self._conn() as db:
|
||||
db.executescript(
|
||||
"""
|
||||
CREATE TABLE IF NOT EXISTS run_meta (
|
||||
k TEXT PRIMARY KEY,
|
||||
v TEXT NOT NULL
|
||||
);
|
||||
CREATE TABLE IF NOT EXISTS tile_job (
|
||||
profile TEXT NOT NULL,
|
||||
z INTEGER NOT NULL,
|
||||
x INTEGER NOT NULL,
|
||||
y INTEGER NOT NULL,
|
||||
state TEXT NOT NULL,
|
||||
attempts INTEGER NOT NULL DEFAULT 0,
|
||||
updated_at TEXT NOT NULL,
|
||||
output_feature_count INTEGER,
|
||||
output_layer_count INTEGER,
|
||||
written INTEGER,
|
||||
last_error TEXT,
|
||||
PRIMARY KEY(profile,z,x,y)
|
||||
);
|
||||
CREATE INDEX IF NOT EXISTS idx_tile_job_state ON tile_job(state);
|
||||
"""
|
||||
)
|
||||
|
||||
def set_meta(self, key: str, value: str):
|
||||
with self._conn() as db:
|
||||
db.execute(
|
||||
"INSERT INTO run_meta(k,v) VALUES(?,?) ON CONFLICT(k) DO UPDATE SET v=excluded.v",
|
||||
(key, value),
|
||||
)
|
||||
|
||||
def get_meta(self, key: str) -> str | None:
|
||||
with self._conn() as db:
|
||||
row = db.execute("SELECT v FROM run_meta WHERE k=?", (key,)).fetchone()
|
||||
return None if row is None else str(row[0])
|
||||
|
||||
def seed(self, profile: str, jobs: list[dict[str, int]]):
|
||||
now = utc_now()
|
||||
with self._conn() as db:
|
||||
db.executemany(
|
||||
"""
|
||||
INSERT OR IGNORE INTO tile_job(profile,z,x,y,state,attempts,updated_at)
|
||||
VALUES(?,?,?,?, 'PENDING', 0, ?)
|
||||
""",
|
||||
[(profile, int(j["z"]), int(j["x"]), int(j["y"]), now) for j in jobs],
|
||||
)
|
||||
db.execute(
|
||||
"UPDATE tile_job SET state='PENDING', updated_at=? WHERE state='RUNNING'",
|
||||
(now,),
|
||||
)
|
||||
|
||||
def runnable(self, profile: str, max_attempts: int) -> list[sqlite3.Row]:
|
||||
with self._conn() as db:
|
||||
return list(
|
||||
db.execute(
|
||||
"""
|
||||
SELECT * FROM tile_job
|
||||
WHERE profile=?
|
||||
AND state!='PASS'
|
||||
AND attempts < ?
|
||||
ORDER BY z,x,y
|
||||
""",
|
||||
(profile, int(max_attempts)),
|
||||
).fetchall()
|
||||
)
|
||||
|
||||
def mark_running(self, profile: str, z: int, x: int, y: int):
|
||||
with self._lock, self._conn() as db:
|
||||
db.execute(
|
||||
"""
|
||||
UPDATE tile_job
|
||||
SET state='RUNNING', attempts=attempts+1, updated_at=?, last_error=NULL
|
||||
WHERE profile=? AND z=? AND x=? AND y=?
|
||||
""",
|
||||
(utc_now(), profile, z, x, y),
|
||||
)
|
||||
|
||||
def mark_pass(self, profile: str, z: int, x: int, y: int, result: dict[str, Any]):
|
||||
with self._lock, self._conn() as db:
|
||||
db.execute(
|
||||
"""
|
||||
UPDATE tile_job
|
||||
SET state='PASS', updated_at=?,
|
||||
output_feature_count=?, output_layer_count=?, written=?, last_error=NULL
|
||||
WHERE profile=? AND z=? AND x=? AND y=?
|
||||
""",
|
||||
(
|
||||
utc_now(),
|
||||
int(result.get("output_feature_count") or 0),
|
||||
int(result.get("output_layer_count") or 0),
|
||||
1 if result.get("written") else 0,
|
||||
profile, z, x, y,
|
||||
),
|
||||
)
|
||||
|
||||
def mark_failed(self, profile: str, z: int, x: int, y: int, error: str):
|
||||
with self._lock, self._conn() as db:
|
||||
db.execute(
|
||||
"""
|
||||
UPDATE tile_job
|
||||
SET state='FAILED', updated_at=?, last_error=?
|
||||
WHERE profile=? AND z=? AND x=? AND y=?
|
||||
""",
|
||||
(utc_now(), error[-12000:], profile, z, x, y),
|
||||
)
|
||||
|
||||
def summary(self, profile: str) -> dict[str, Any]:
|
||||
with self._conn() as db:
|
||||
states = {
|
||||
str(r["state"]): int(r["n"])
|
||||
for r in db.execute(
|
||||
"SELECT state,COUNT(*) AS n FROM tile_job WHERE profile=? GROUP BY state",
|
||||
(profile,),
|
||||
).fetchall()
|
||||
}
|
||||
row = db.execute(
|
||||
"""
|
||||
SELECT
|
||||
COUNT(*) AS jobs,
|
||||
COALESCE(SUM(attempts),0) AS attempts,
|
||||
COALESCE(SUM(output_feature_count),0) AS output_features,
|
||||
COALESCE(SUM(CASE WHEN written=1 THEN 1 ELSE 0 END),0) AS pbf_files
|
||||
FROM tile_job WHERE profile=?
|
||||
""",
|
||||
(profile,),
|
||||
).fetchone()
|
||||
return {
|
||||
"jobs": int(row["jobs"]),
|
||||
"attempts": int(row["attempts"]),
|
||||
"output_features": int(row["output_features"]),
|
||||
"pbf_files": int(row["pbf_files"]),
|
||||
"states": states,
|
||||
}
|
||||
|
||||
|
||||
def _validate_plan_inputs(db: DbConfig, plan: dict[str, Any]):
|
||||
mapping_path = Path(plan["mapping_path"])
|
||||
policy_path = Path(plan["policy_path"])
|
||||
manifest_path = Path(plan["manifest_path"])
|
||||
if sha256_file(mapping_path) != plan["mapping_sha256"]:
|
||||
raise RuntimeError("mapping file changed after plan creation")
|
||||
if sha256_file(policy_path) != plan["policy_sha256"]:
|
||||
raise RuntimeError("policy file changed after plan creation")
|
||||
with _connect(db) as conn:
|
||||
fp = dataset_fingerprint(conn, int(plan["dataset_id"]))
|
||||
if fp != plan["dataset_fingerprint"]:
|
||||
raise RuntimeError("dataset fingerprint changed after plan creation")
|
||||
validate_manifest(conn, int(plan["dataset_id"]), manifest_path)
|
||||
conn.rollback()
|
||||
|
||||
|
||||
def run_production_plan(
|
||||
db: DbConfig,
|
||||
plan_path: Path,
|
||||
release_root: Path,
|
||||
workers: int = 4,
|
||||
max_attempts: int = 3,
|
||||
) -> dict[str, Any]:
|
||||
plan = load_plan(plan_path)
|
||||
_validate_plan_inputs(db, plan)
|
||||
workers = max(1, int(workers))
|
||||
max_attempts = max(1, int(max_attempts))
|
||||
release_dir = Path(release_root) / str(plan["release_id"])
|
||||
output_root = release_dir / "pbf" / str(plan["profile"])
|
||||
report_root = release_dir / "reports"
|
||||
ledger = ProductionLedger(release_dir / "production_run_v1.sqlite")
|
||||
ledger.set_meta("schema", PRODUCTION_RUN_SCHEMA)
|
||||
ledger.set_meta("plan_id", str(plan["plan_id"]))
|
||||
ledger.set_meta("release_id", str(plan["release_id"]))
|
||||
ledger.set_meta("plan_path", str(Path(plan_path)))
|
||||
ledger.seed(str(plan["profile"]), list(plan["jobs"]))
|
||||
|
||||
runnable = ledger.runnable(str(plan["profile"]), max_attempts)
|
||||
if not runnable:
|
||||
summary = ledger.summary(str(plan["profile"]))
|
||||
_write_run_summary(plan, release_dir, summary)
|
||||
return {"release_dir": str(release_dir), **summary}
|
||||
|
||||
def work(row):
|
||||
z, x, y = int(row["z"]), int(row["x"]), int(row["y"])
|
||||
profile = str(plan["profile"])
|
||||
ledger.mark_running(profile, z, x, y)
|
||||
try:
|
||||
builder = Cm95TileBuilder(
|
||||
db=db,
|
||||
dataset_id=int(plan["dataset_id"]),
|
||||
mapping_path=Path(plan["mapping_path"]),
|
||||
policy_path=Path(plan["policy_path"]),
|
||||
fid_manifest_path=Path(plan["manifest_path"]),
|
||||
output_root=output_root,
|
||||
report_root=report_root,
|
||||
profile=profile,
|
||||
)
|
||||
result = builder.build_tile(TileJob(z, x, y))
|
||||
if result.get("hard_gate_unmapped"):
|
||||
raise RuntimeError(f"hard-gate unmapped: {result['hard_gate_unmapped']}")
|
||||
ledger.mark_pass(profile, z, x, y, result)
|
||||
return (True, z, x, y, result)
|
||||
except Exception as exc:
|
||||
err = f"{type(exc).__name__}: {exc}\n{traceback.format_exc()}"
|
||||
ledger.mark_failed(profile, z, x, y, err)
|
||||
return (False, z, x, y, err)
|
||||
|
||||
completed = 0
|
||||
failed = 0
|
||||
with ThreadPoolExecutor(max_workers=workers, thread_name_prefix="cm95pbf") as pool:
|
||||
futures = [pool.submit(work, row) for row in runnable]
|
||||
for fut in as_completed(futures):
|
||||
ok, z, x, y, payload = fut.result()
|
||||
completed += 1
|
||||
if ok:
|
||||
print(
|
||||
f"PASS {z}/{x}/{y} "
|
||||
f"features={payload['output_feature_count']} layers={payload['output_layer_count']}"
|
||||
)
|
||||
else:
|
||||
failed += 1
|
||||
first = str(payload).splitlines()[0]
|
||||
print(f"FAIL {z}/{x}/{y} {first}")
|
||||
if completed % 50 == 0:
|
||||
s = ledger.summary(str(plan["profile"]))
|
||||
print(f"PROGRESS {completed}/{len(runnable)} states={s['states']}")
|
||||
|
||||
# 同一调用内继续重试失败任务，直到 max_attempts 用尽。
|
||||
while True:
|
||||
retry = ledger.runnable(str(plan["profile"]), max_attempts)
|
||||
retry = [r for r in retry if str(r["state"]) == "FAILED"]
|
||||
if not retry:
|
||||
break
|
||||
print(f"RETRY jobs={len(retry)}")
|
||||
with ThreadPoolExecutor(max_workers=workers, thread_name_prefix="cm95pbf-retry") as pool:
|
||||
futures = [pool.submit(work, row) for row in retry]
|
||||
for fut in as_completed(futures):
|
||||
ok, z, x, y, payload = fut.result()
|
||||
if ok:
|
||||
print(f"PASS retry {z}/{x}/{y}")
|
||||
else:
|
||||
print(f"FAIL retry {z}/{x}/{y} {str(payload).splitlines()[0]}")
|
||||
|
||||
summary = ledger.summary(str(plan["profile"]))
|
||||
_write_run_summary(plan, release_dir, summary)
|
||||
return {"release_dir": str(release_dir), **summary}
|
||||
|
||||
|
||||
def _write_run_summary(plan: dict[str, Any], release_dir: Path, summary: dict[str, Any]):
|
||||
obj = {
|
||||
"schema": PRODUCTION_RUN_SCHEMA,
|
||||
"release_id": plan["release_id"],
|
||||
"plan_id": plan["plan_id"],
|
||||
"dataset_id": plan["dataset_id"],
|
||||
"dataset_fingerprint": plan["dataset_fingerprint"],
|
||||
"profile": plan["profile"],
|
||||
"builder_contract_version": plan.get("builder_contract_version"),
|
||||
"updated_at": utc_now(),
|
||||
**summary,
|
||||
}
|
||||
path = Path(release_dir) / "production_run_summary_v1.json"
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
path.write_text(json.dumps(obj, ensure_ascii=False, indent=2), encoding="utf-8")
|
||||
|
||||
|
||||
def production_status(plan_path: Path, release_root: Path) -> dict[str, Any]:
|
||||
plan = load_plan(plan_path)
|
||||
release_dir = Path(release_root) / str(plan["release_id"])
|
||||
ledger = ProductionLedger(release_dir / "production_run_v1.sqlite")
|
||||
summary = ledger.summary(str(plan["profile"]))
|
||||
return {
|
||||
"release_id": plan["release_id"],
|
||||
"release_dir": str(release_dir),
|
||||
**summary,
|
||||
}
|
||||
|
||||
|
||||
def _load_delivery_changed_classes(mapping_path: Path) -> list[str]:
|
||||
import yaml
|
||||
obj = yaml.safe_load(Path(mapping_path).read_text(encoding="utf-8")) or {}
|
||||
contract = obj.get("production_change_contract") or {}
|
||||
values = contract.get("delivery_output_changed_object_classes") or []
|
||||
return sorted({str(v) for v in values if str(v).strip()})
|
||||
|
||||
|
||||
def _link_or_copy(src: Path, dst: Path, mode: str = "hardlink") -> str:
|
||||
src = Path(src)
|
||||
dst = Path(dst)
|
||||
dst.parent.mkdir(parents=True, exist_ok=True)
|
||||
if dst.exists():
|
||||
dst.unlink()
|
||||
if mode == "copy":
|
||||
shutil.copy2(src, dst)
|
||||
return "copy"
|
||||
try:
|
||||
os.link(src, dst)
|
||||
return "hardlink"
|
||||
except OSError:
|
||||
shutil.copy2(src, dst)
|
||||
return "copy_fallback"
|
||||
|
||||
|
||||
def _load_explicit_invalidate_tiles(path: Path | None) -> set[tuple[int, int, int]]:
|
||||
if path is None:
|
||||
return set()
|
||||
path = Path(path)
|
||||
if not path.exists():
|
||||
raise RuntimeError(f"invalidate tiles file not found: {path}")
|
||||
out: set[tuple[int, int, int]] = set()
|
||||
for lineno, raw in enumerate(path.read_text(encoding="utf-8").splitlines(), start=1):
|
||||
line = raw.strip()
|
||||
if not line or line.startswith("#"):
|
||||
continue
|
||||
parts = line.split("/")
|
||||
if len(parts) != 3:
|
||||
raise RuntimeError(f"invalid tile at {path}:{lineno}: {line}")
|
||||
try:
|
||||
z, x, y = (int(v) for v in parts)
|
||||
except ValueError as exc:
|
||||
raise RuntimeError(f"invalid tile at {path}:{lineno}: {line}") from exc
|
||||
if z < 0 or x < 0 or y < 0 or x >= (1 << z) or y >= (1 << z):
|
||||
raise RuntimeError(f"invalid XYZ at {path}:{lineno}: {line}")
|
||||
out.add((z, x, y))
|
||||
return out
|
||||
|
||||
|
||||
def migrate_production_release(
|
||||
old_release_dir: Path,
|
||||
new_plan_path: Path,
|
||||
release_root: Path,
|
||||
copy_mode: str = "hardlink",
|
||||
invalidate_tiles_file: Path | None = None,
|
||||
) -> dict[str, Any]:
|
||||
"""Reuse old PASS tiles in a new release when delivery-equivalent.
|
||||
|
||||
Safety rules:
|
||||
- old FAILED/RUNNING/PENDING are never reused;
|
||||
- any old PASS report mentioning a class whose delivery output changed is rebuilt;
|
||||
- old PASS with encoder drops, hard-gate unmapped, or planned/output mismatch is rebuilt;
|
||||
- PBF/report are linked/copied only after checks pass;
|
||||
- a fresh ledger resets attempts for all rebuilt jobs.
|
||||
"""
|
||||
old_release_dir = Path(old_release_dir)
|
||||
new_plan = load_plan(Path(new_plan_path))
|
||||
if copy_mode not in {"hardlink", "copy"}:
|
||||
raise ValueError("copy_mode must be hardlink or copy")
|
||||
|
||||
old_ledger_path = old_release_dir / "production_run_v1.sqlite"
|
||||
if not old_ledger_path.exists():
|
||||
raise RuntimeError(f"old production ledger not found: {old_ledger_path}")
|
||||
old_ledger = ProductionLedger(old_ledger_path)
|
||||
|
||||
old_summary_path = old_release_dir / "production_run_summary_v1.json"
|
||||
old_summary = {}
|
||||
if old_summary_path.exists():
|
||||
old_summary = json.loads(old_summary_path.read_text(encoding="utf-8"))
|
||||
if str(old_summary.get("dataset_fingerprint") or "") != str(new_plan["dataset_fingerprint"]):
|
||||
raise RuntimeError("old/new dataset fingerprint mismatch")
|
||||
if str(old_summary.get("profile") or "") != str(new_plan["profile"]):
|
||||
raise RuntimeError("old/new profile mismatch")
|
||||
|
||||
profile = str(new_plan["profile"])
|
||||
new_release_dir = Path(release_root) / str(new_plan["release_id"])
|
||||
if new_release_dir.resolve() == old_release_dir.resolve():
|
||||
raise RuntimeError("new release must not overwrite old release")
|
||||
|
||||
new_ledger = ProductionLedger(new_release_dir / "production_run_v1.sqlite")
|
||||
new_ledger.set_meta("schema", PRODUCTION_RUN_SCHEMA)
|
||||
new_ledger.set_meta("plan_id", str(new_plan["plan_id"]))
|
||||
new_ledger.set_meta("release_id", str(new_plan["release_id"]))
|
||||
new_ledger.set_meta("plan_path", str(Path(new_plan_path)))
|
||||
new_ledger.set_meta("migrated_from_release", old_release_dir.name)
|
||||
new_ledger.seed(profile, list(new_plan["jobs"]))
|
||||
|
||||
new_jobs = {
|
||||
(profile, int(j["z"]), int(j["x"]), int(j["y"]))
|
||||
for j in new_plan["jobs"]
|
||||
}
|
||||
with old_ledger._conn() as db:
|
||||
old_rows = list(db.execute(
|
||||
"SELECT * FROM tile_job WHERE profile=? ORDER BY z,x,y",
|
||||
(profile,),
|
||||
).fetchall())
|
||||
old_jobs = {(profile, int(r["z"]), int(r["x"]), int(r["y"])) for r in old_rows}
|
||||
if old_jobs != new_jobs:
|
||||
missing_old = len(new_jobs - old_jobs)
|
||||
extra_old = len(old_jobs - new_jobs)
|
||||
raise RuntimeError(
|
||||
f"old/new job set mismatch: missing_old={missing_old} extra_old={extra_old}"
|
||||
)
|
||||
|
||||
changed_classes = set(_load_delivery_changed_classes(Path(new_plan["mapping_path"])))
|
||||
explicit_invalidate_tiles = _load_explicit_invalidate_tiles(invalidate_tiles_file)
|
||||
reused = 0
|
||||
rebuilt_old_failed = 0
|
||||
rebuilt_changed_class = 0
|
||||
rebuilt_integrity = 0
|
||||
rebuilt_explicit_invalidate = 0
|
||||
reused_pbf = 0
|
||||
reused_empty = 0
|
||||
copy_modes = Counter()
|
||||
|
||||
for row in old_rows:
|
||||
z, x, y = int(row["z"]), int(row["x"]), int(row["y"])
|
||||
if str(row["state"]) != "PASS":
|
||||
rebuilt_old_failed += 1
|
||||
continue
|
||||
if (z, x, y) in explicit_invalidate_tiles:
|
||||
rebuilt_explicit_invalidate += 1
|
||||
continue
|
||||
|
||||
old_report = old_release_dir / "reports" / profile / str(z) / str(x) / f"{y}.json"
|
||||
if not old_report.exists():
|
||||
rebuilt_integrity += 1
|
||||
continue
|
||||
try:
|
||||
report = json.loads(old_report.read_text(encoding="utf-8"))
|
||||
except Exception:
|
||||
rebuilt_integrity += 1
|
||||
continue
|
||||
|
||||
unmapped = set((report.get("unmapped_class_counts") or {}).keys())
|
||||
hard_gate_classes = {
|
||||
str(item.get("object_class"))
|
||||
for item in (report.get("hard_gate_unmapped") or [])
|
||||
if isinstance(item, dict) and item.get("object_class")
|
||||
}
|
||||
if changed_classes & (unmapped | hard_gate_classes):
|
||||
rebuilt_changed_class += 1
|
||||
continue
|
||||
if report.get("encoder_dropped_features") or report.get("hard_gate_unmapped"):
|
||||
rebuilt_integrity += 1
|
||||
continue
|
||||
if int(report.get("planned_output_feature_count") or 0) != int(report.get("output_feature_count") or 0):
|
||||
rebuilt_integrity += 1
|
||||
continue
|
||||
|
||||
old_pbf = old_release_dir / "pbf" / profile / str(z) / str(x) / f"{y}.pbf"
|
||||
new_pbf = new_release_dir / "pbf" / profile / str(z) / str(x) / f"{y}.pbf"
|
||||
output_count = int(report.get("output_feature_count") or 0)
|
||||
written = bool(row["written"])
|
||||
if output_count > 0 or written:
|
||||
if not old_pbf.exists():
|
||||
rebuilt_integrity += 1
|
||||
continue
|
||||
mode_used = _link_or_copy(old_pbf, new_pbf, copy_mode)
|
||||
copy_modes[mode_used] += 1
|
||||
reused_pbf += 1
|
||||
else:
|
||||
reused_empty += 1
|
||||
|
||||
new_report = new_release_dir / "reports" / profile / str(z) / str(x) / f"{y}.json"
|
||||
copy_modes[_link_or_copy(old_report, new_report, copy_mode)] += 1
|
||||
old_trace = old_release_dir / "reports" / profile / str(z) / str(x) / f"{y}.trace.jsonl"
|
||||
if old_trace.exists():
|
||||
new_trace = new_release_dir / "reports" / profile / str(z) / str(x) / f"{y}.trace.jsonl"
|
||||
copy_modes[_link_or_copy(old_trace, new_trace, copy_mode)] += 1
|
||||
|
||||
new_ledger.mark_pass(
|
||||
profile, z, x, y,
|
||||
{
|
||||
"output_feature_count": output_count,
|
||||
"output_layer_count": len(report.get("output_layer_counts") or {}),
|
||||
"written": written,
|
||||
},
|
||||
)
|
||||
reused += 1
|
||||
|
||||
summary = new_ledger.summary(profile)
|
||||
result = {
|
||||
"schema": "navsea.cm95.production-migration/v1",
|
||||
"created_at": utc_now(),
|
||||
"old_release_dir": str(old_release_dir),
|
||||
"new_release_dir": str(new_release_dir),
|
||||
"new_release_id": str(new_plan["release_id"]),
|
||||
"builder_contract_version": new_plan.get("builder_contract_version"),
|
||||
"changed_delivery_classes": sorted(changed_classes),
|
||||
"reused_pass_jobs": reused,
|
||||
"reused_pbf_files": reused_pbf,
|
||||
"reused_empty_jobs": reused_empty,
|
||||
"pending_from_old_nonpass": rebuilt_old_failed,
|
||||
"pending_changed_delivery_class": rebuilt_changed_class,
|
||||
"pending_integrity_recheck": rebuilt_integrity,
|
||||
"pending_explicit_invalidate_tiles": rebuilt_explicit_invalidate,
|
||||
"explicit_invalidate_tile_count": len(explicit_invalidate_tiles),
|
||||
"invalidate_tiles_file": str(Path(invalidate_tiles_file)) if invalidate_tiles_file else None,
|
||||
"copy_modes": dict(sorted(copy_modes.items())),
|
||||
**summary,
|
||||
}
|
||||
out = new_release_dir / "production_migration_summary_v1.json"
|
||||
out.parent.mkdir(parents=True, exist_ok=True)
|
||||
out.write_text(json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8")
|
||||
_write_run_summary(new_plan, new_release_dir, summary)
|
||||
return result
|
||||
|
||||
466
src/cm95pbf/release.py
Normal file
466
src/cm95pbf/release.py
Normal file
@@ -0,0 +1,466 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from collections import Counter
|
||||
from datetime import datetime, timezone
|
||||
import hashlib
|
||||
import json
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
import mapbox_vector_tile
|
||||
|
||||
from .production import ProductionLedger, load_plan, sha256_file
|
||||
from .style_contract import audit_pbf_style_and_sprite
|
||||
|
||||
|
||||
RELEASE_SCHEMA = "navsea.cm95.release-manifest/v1"
|
||||
|
||||
|
||||
def _utc_now():
|
||||
return datetime.now(timezone.utc).isoformat(timespec="seconds").replace("+00:00", "Z")
|
||||
|
||||
|
||||
|
||||
|
||||
def _collect_nav_name_conflict_expectations(
|
||||
report_root: Path,
|
||||
conflict_reports: list[tuple[Path, int]],
|
||||
) -> dict[str, Any]:
|
||||
"""Collect ambiguous navigation-name outputs that must remain unlabeled.
|
||||
|
||||
This is intentionally fail-closed:
|
||||
- a report-side conflict must have exactly matching trace rows;
|
||||
- each trace row must explicitly say nav_name_source=conflict;
|
||||
- there must be at least two distinct direct-name candidates;
|
||||
- the corresponding PBF feature is validated later and must omit
|
||||
chart_label_text rather than guessing one candidate.
|
||||
"""
|
||||
expected_refs: dict[tuple[str, str, int], dict[str, Any]] = {}
|
||||
unique_outputs: dict[tuple[str, int], dict[str, Any]] = {}
|
||||
issues: list[dict[str, Any]] = []
|
||||
trace_occurrences = 0
|
||||
|
||||
for report_path, report_count in conflict_reports:
|
||||
rel_report = report_path.relative_to(report_root)
|
||||
trace_path = report_path.with_name(report_path.stem + ".trace.jsonl")
|
||||
pbf_rel = rel_report.with_suffix(".pbf").as_posix()
|
||||
|
||||
if not trace_path.exists():
|
||||
issues.append({
|
||||
"type": "missing_trace_file",
|
||||
"report": rel_report.as_posix(),
|
||||
"expected_conflicts": int(report_count),
|
||||
})
|
||||
continue
|
||||
|
||||
tile_rows: list[dict[str, Any]] = []
|
||||
with trace_path.open("r", encoding="utf-8") as handle:
|
||||
for lineno, raw in enumerate(handle, start=1):
|
||||
raw = raw.strip()
|
||||
if not raw:
|
||||
continue
|
||||
try:
|
||||
row = json.loads(raw)
|
||||
except json.JSONDecodeError as exc:
|
||||
issues.append({
|
||||
"type": "invalid_trace_json",
|
||||
"trace": str(trace_path.relative_to(report_root)),
|
||||
"line": lineno,
|
||||
"error": str(exc),
|
||||
})
|
||||
continue
|
||||
if isinstance(row, dict) and row.get("nav_name_conflict") is True:
|
||||
tile_rows.append(row)
|
||||
|
||||
trace_occurrences += len(tile_rows)
|
||||
if len(tile_rows) != int(report_count):
|
||||
issues.append({
|
||||
"type": "report_trace_conflict_count_mismatch",
|
||||
"report": rel_report.as_posix(),
|
||||
"report_count": int(report_count),
|
||||
"trace_count": len(tile_rows),
|
||||
})
|
||||
|
||||
for row in tile_rows:
|
||||
output_id = row.get("output_id")
|
||||
layer = str(row.get("output_layer") or "")
|
||||
name_source = str(row.get("nav_name_source") or "")
|
||||
raw_candidates = row.get("nav_name_candidates") or []
|
||||
candidates: list[str] = []
|
||||
for value in raw_candidates:
|
||||
text = str(value).strip()
|
||||
if text and text not in candidates:
|
||||
candidates.append(text)
|
||||
|
||||
if output_id is None or not layer:
|
||||
issues.append({
|
||||
"type": "invalid_conflict_trace_identity",
|
||||
"report": rel_report.as_posix(),
|
||||
"row": row,
|
||||
})
|
||||
continue
|
||||
|
||||
try:
|
||||
fid = int(output_id)
|
||||
except (TypeError, ValueError):
|
||||
issues.append({
|
||||
"type": "invalid_conflict_output_id",
|
||||
"report": rel_report.as_posix(),
|
||||
"output_id": output_id,
|
||||
})
|
||||
continue
|
||||
|
||||
if name_source != "conflict":
|
||||
issues.append({
|
||||
"type": "conflict_trace_wrong_name_source",
|
||||
"report": rel_report.as_posix(),
|
||||
"output_id": fid,
|
||||
"nav_name_source": name_source,
|
||||
})
|
||||
|
||||
if len(candidates) < 2:
|
||||
issues.append({
|
||||
"type": "conflict_trace_insufficient_candidates",
|
||||
"report": rel_report.as_posix(),
|
||||
"output_id": fid,
|
||||
"candidates": candidates,
|
||||
})
|
||||
|
||||
ref_key = (pbf_rel, layer, fid)
|
||||
if ref_key in expected_refs:
|
||||
issues.append({
|
||||
"type": "duplicate_conflict_trace_reference",
|
||||
"pbf": pbf_rel,
|
||||
"layer": layer,
|
||||
"output_id": fid,
|
||||
})
|
||||
expected_refs[ref_key] = {
|
||||
"pbf": pbf_rel,
|
||||
"layer": layer,
|
||||
"output_id": fid,
|
||||
"source_id": row.get("source_id"),
|
||||
"relation20": row.get("relation20"),
|
||||
"native_scale": row.get("native_scale"),
|
||||
"candidates": candidates,
|
||||
}
|
||||
|
||||
unique_key = (layer, fid)
|
||||
unique = unique_outputs.setdefault(unique_key, {
|
||||
"output_id": fid,
|
||||
"output_layer": layer,
|
||||
"source_id": row.get("source_id"),
|
||||
"relation20": row.get("relation20"),
|
||||
"native_scale": row.get("native_scale"),
|
||||
"nav_name_candidates": list(candidates),
|
||||
"occurrences": 0,
|
||||
"tiles": [],
|
||||
})
|
||||
unique["occurrences"] += 1
|
||||
if pbf_rel not in unique["tiles"]:
|
||||
unique["tiles"].append(pbf_rel)
|
||||
for candidate in candidates:
|
||||
if candidate not in unique["nav_name_candidates"]:
|
||||
unique["nav_name_candidates"].append(candidate)
|
||||
|
||||
return {
|
||||
"report_occurrences": sum(int(count) for _path, count in conflict_reports),
|
||||
"trace_occurrences": trace_occurrences,
|
||||
"expected_refs": expected_refs,
|
||||
"unique_outputs": unique_outputs,
|
||||
"issues": issues,
|
||||
"seen_refs": set(),
|
||||
"labeled_conflicts": [],
|
||||
}
|
||||
|
||||
|
||||
def _observe_nav_name_conflict_feature(
|
||||
state: dict[str, Any],
|
||||
pbf_rel: str,
|
||||
layer: str,
|
||||
fid: Any,
|
||||
properties: dict[str, Any],
|
||||
) -> None:
|
||||
if fid is None:
|
||||
return
|
||||
try:
|
||||
key = (pbf_rel, str(layer), int(fid))
|
||||
except (TypeError, ValueError):
|
||||
return
|
||||
|
||||
expected = state["expected_refs"].get(key)
|
||||
if expected is None:
|
||||
return
|
||||
|
||||
state["seen_refs"].add(key)
|
||||
label = properties.get("chart_label_text")
|
||||
if label is not None and str(label).strip():
|
||||
state["labeled_conflicts"].append({
|
||||
**expected,
|
||||
"chart_label_text": str(label),
|
||||
})
|
||||
|
||||
|
||||
def _finalize_nav_name_conflict_audit(state: dict[str, Any]) -> dict[str, Any]:
|
||||
expected_keys = set(state["expected_refs"])
|
||||
seen_keys = set(state["seen_refs"])
|
||||
missing = sorted(expected_keys - seen_keys)
|
||||
|
||||
issues = list(state["issues"])
|
||||
if state["report_occurrences"] != state["trace_occurrences"]:
|
||||
issues.append({
|
||||
"type": "global_report_trace_conflict_count_mismatch",
|
||||
"report_occurrences": state["report_occurrences"],
|
||||
"trace_occurrences": state["trace_occurrences"],
|
||||
})
|
||||
|
||||
for pbf_rel, layer, fid in missing:
|
||||
issues.append({
|
||||
"type": "conflict_output_missing_from_pbf",
|
||||
"pbf": pbf_rel,
|
||||
"layer": layer,
|
||||
"output_id": fid,
|
||||
})
|
||||
|
||||
for item in state["labeled_conflicts"]:
|
||||
issues.append({
|
||||
"type": "ambiguous_conflict_was_labeled",
|
||||
**item,
|
||||
})
|
||||
|
||||
unique_details = []
|
||||
for row in state["unique_outputs"].values():
|
||||
item = dict(row)
|
||||
item["tiles"] = sorted(item.get("tiles") or [])
|
||||
unique_details.append(item)
|
||||
unique_details.sort(
|
||||
key=lambda row: (
|
||||
int(row.get("native_scale") or 0),
|
||||
str(row.get("source_id") or ""),
|
||||
int(row.get("output_id") or 0),
|
||||
)
|
||||
)
|
||||
|
||||
affected_tiles = sorted({
|
||||
key[0] for key in state["expected_refs"]
|
||||
})
|
||||
safe_omissions = len(seen_keys) - len(state["labeled_conflicts"])
|
||||
|
||||
return {
|
||||
"overall": "PASS" if not issues else "FAIL",
|
||||
"policy": "AMBIGUOUS_DIRECT_NAMES_OMIT_LABEL_FAIL_CLOSED",
|
||||
"report_occurrences": int(state["report_occurrences"]),
|
||||
"trace_occurrences": int(state["trace_occurrences"]),
|
||||
"safe_omission_occurrences": int(safe_omissions),
|
||||
"unique_conflict_outputs": len(unique_details),
|
||||
"affected_tiles": len(affected_tiles),
|
||||
"labeled_conflict_occurrences": len(state["labeled_conflicts"]),
|
||||
"missing_pbf_occurrences": len(missing),
|
||||
"issues": issues,
|
||||
"unique_conflicts": unique_details,
|
||||
}
|
||||
|
||||
|
||||
def finalize_release(
|
||||
plan_path: Path,
|
||||
release_root: Path,
|
||||
style_path: Path | None = None,
|
||||
sprite_json_path: Path | None = None,
|
||||
gap_disposition_path: Path | None = None,
|
||||
) -> dict[str, Any]:
|
||||
plan = load_plan(plan_path)
|
||||
release_dir = Path(release_root) / str(plan["release_id"])
|
||||
ledger = ProductionLedger(release_dir / "production_run_v1.sqlite")
|
||||
status = ledger.summary(str(plan["profile"]))
|
||||
if status["states"].get("FAILED", 0) or status["states"].get("PENDING", 0) or status["states"].get("RUNNING", 0):
|
||||
raise RuntimeError(f"release has unfinished jobs: {status['states']}")
|
||||
if status["states"].get("PASS", 0) != int(plan["job_count"]):
|
||||
raise RuntimeError(f"PASS job count mismatch: {status['states']} plan={plan['job_count']}")
|
||||
|
||||
pbf_root = release_dir / "pbf" / str(plan["profile"])
|
||||
report_root = release_dir / "reports" / str(plan["profile"])
|
||||
pbf_files = sorted(pbf_root.rglob("*.pbf")) if pbf_root.exists() else []
|
||||
report_files = sorted(
|
||||
p for p in report_root.rglob("*.json")
|
||||
if not p.name.endswith(".trace.json")
|
||||
) if report_root.exists() else []
|
||||
|
||||
hard_gate = []
|
||||
encoder_dropped = []
|
||||
name_conflicts = 0
|
||||
nav_name_conflict_reports: list[tuple[Path, int]] = []
|
||||
non_renderable_omissions = 0
|
||||
non_renderable_omission_layers = Counter()
|
||||
quantization_fallbacks = 0
|
||||
quantization_omissions = 0
|
||||
quantization_omission_layers = Counter()
|
||||
encoder_reconciled_candidates = 0
|
||||
encoder_reconciled_tiles = 0
|
||||
planned = 0
|
||||
output = 0
|
||||
report_layer_counts = Counter()
|
||||
for path in report_files:
|
||||
obj = json.loads(path.read_text(encoding="utf-8"))
|
||||
hard_gate += [{"report": str(path.relative_to(release_dir)), **x} for x in obj.get("hard_gate_unmapped") or []]
|
||||
encoder_dropped += [{"report": str(path.relative_to(release_dir)), **x} for x in obj.get("encoder_dropped_features") or []]
|
||||
tile_name_conflicts = int((obj.get("navigation_composites") or {}).get("name_conflict_groups") or 0)
|
||||
name_conflicts += tile_name_conflicts
|
||||
if tile_name_conflicts:
|
||||
nav_name_conflict_reports.append((path, tile_name_conflicts))
|
||||
label_omissions = obj.get("non_renderable_omissions") or []
|
||||
non_renderable_omissions += len(label_omissions)
|
||||
for item in label_omissions:
|
||||
if isinstance(item, dict):
|
||||
non_renderable_omission_layers[str(item.get("layer") or "UNKNOWN")] += 1
|
||||
quantization_fallbacks += len(obj.get("quantization_fallbacks") or [])
|
||||
omissions = obj.get("quantization_omissions") or []
|
||||
quantization_omissions += len(omissions)
|
||||
reconcile_candidates = obj.get("encoder_drop_candidates") or []
|
||||
if reconcile_candidates:
|
||||
encoder_reconciled_tiles += 1
|
||||
for candidate in reconcile_candidates:
|
||||
if isinstance(candidate, dict):
|
||||
encoder_reconciled_candidates += len(candidate.get("dropped") or [])
|
||||
for item in omissions:
|
||||
if isinstance(item, dict):
|
||||
quantization_omission_layers[str(item.get("layer") or "UNKNOWN")] += 1
|
||||
planned += int(obj.get("planned_output_feature_count") or 0)
|
||||
output += int(obj.get("output_feature_count") or 0)
|
||||
report_layer_counts.update(obj.get("output_layer_counts") or {})
|
||||
|
||||
nav_name_conflict_state = _collect_nav_name_conflict_expectations(
|
||||
report_root,
|
||||
nav_name_conflict_reports,
|
||||
)
|
||||
|
||||
inventory = []
|
||||
decoded_features = 0
|
||||
decoded_layers = Counter()
|
||||
duplicate_feature_ids = []
|
||||
for path in pbf_files:
|
||||
raw = path.read_bytes()
|
||||
decoded = mapbox_vector_tile.decode(raw)
|
||||
seen = set()
|
||||
tile_features = 0
|
||||
for layer, payload in decoded.items():
|
||||
feats = payload.get("features", [])
|
||||
decoded_layers[layer] += len(feats)
|
||||
tile_features += len(feats)
|
||||
pbf_rel = str(path.relative_to(pbf_root)).replace("\\", "/")
|
||||
for feat in feats:
|
||||
fid = feat.get("id")
|
||||
_observe_nav_name_conflict_feature(
|
||||
nav_name_conflict_state,
|
||||
pbf_rel,
|
||||
layer,
|
||||
fid,
|
||||
feat.get("properties") or {},
|
||||
)
|
||||
if fid is None:
|
||||
continue
|
||||
key = (layer, int(fid))
|
||||
if key in seen:
|
||||
duplicate_feature_ids.append({"file": str(path.relative_to(release_dir)), "layer": layer, "id": int(fid)})
|
||||
seen.add(key)
|
||||
decoded_features += tile_features
|
||||
inventory.append({
|
||||
"path": str(path.relative_to(release_dir)).replace("\\", "/"),
|
||||
"bytes": len(raw),
|
||||
"sha256": hashlib.sha256(raw).hexdigest(),
|
||||
"features": tile_features,
|
||||
"layers": len(decoded),
|
||||
})
|
||||
|
||||
style_sha = None
|
||||
sprite_sha = None
|
||||
style_contract = None
|
||||
if style_path is not None:
|
||||
style_path = Path(style_path)
|
||||
style_sha = sha256_file(style_path)
|
||||
if sprite_json_path is not None:
|
||||
sprite_json_path = Path(sprite_json_path)
|
||||
sprite_sha = sha256_file(sprite_json_path)
|
||||
style_contract = audit_pbf_style_and_sprite(
|
||||
pbf_root,
|
||||
style_path,
|
||||
sprite_json_path,
|
||||
)
|
||||
|
||||
gap_disposition_sha = None
|
||||
semantic_backlog = None
|
||||
semantic_completeness = "NOT_AUDITED"
|
||||
if gap_disposition_path is not None:
|
||||
import yaml
|
||||
gap_disposition_path = Path(gap_disposition_path)
|
||||
if gap_disposition_path.exists():
|
||||
gap_disposition_sha = sha256_file(gap_disposition_path)
|
||||
gap_obj = yaml.safe_load(gap_disposition_path.read_text(encoding="utf-8")) or {}
|
||||
semantic_backlog = dict(gap_obj.get("summary") or {})
|
||||
pending = int((semantic_backlog or {}).get("pending_semantic_review") or 0)
|
||||
semantic_completeness = "COMPLETE" if pending == 0 else "PENDING_REVIEW"
|
||||
|
||||
nav_name_conflict_audit = _finalize_nav_name_conflict_audit(
|
||||
nav_name_conflict_state
|
||||
)
|
||||
|
||||
failures = []
|
||||
if hard_gate:
|
||||
failures.append("hard_gate_unmapped")
|
||||
if encoder_dropped:
|
||||
failures.append("encoder_dropped_features")
|
||||
if name_conflicts and nav_name_conflict_audit.get("overall") != "PASS":
|
||||
failures.append("nav_name_conflict_audit")
|
||||
if planned != output:
|
||||
failures.append("planned_vs_report_output_mismatch")
|
||||
if output != decoded_features:
|
||||
failures.append("report_output_vs_decoded_pbf_mismatch")
|
||||
if duplicate_feature_ids:
|
||||
failures.append("duplicate_feature_ids_within_tile_layer")
|
||||
if style_contract is not None and style_contract.get("overall") != "PASS":
|
||||
failures.append("style_or_sprite_contract")
|
||||
|
||||
result = {
|
||||
"schema": RELEASE_SCHEMA,
|
||||
"created_at": _utc_now(),
|
||||
"status": "PASS" if not failures else "FAIL",
|
||||
"release_id": plan["release_id"],
|
||||
"plan_id": plan["plan_id"],
|
||||
"dataset_id": plan["dataset_id"],
|
||||
"dataset_fingerprint": plan["dataset_fingerprint"],
|
||||
"profile": plan["profile"],
|
||||
"zooms": plan["zooms"],
|
||||
"mapping_sha256": plan["mapping_sha256"],
|
||||
"policy_sha256": plan["policy_sha256"],
|
||||
"builder_contract_version": plan.get("builder_contract_version"),
|
||||
"style_sha256": style_sha,
|
||||
"sprite_json_sha256": sprite_sha,
|
||||
"gap_disposition_sha256": gap_disposition_sha,
|
||||
"semantic_completeness": semantic_completeness,
|
||||
"semantic_backlog": semantic_backlog,
|
||||
"style_sprite_contract": style_contract,
|
||||
"planned_tile_jobs": int(plan["job_count"]),
|
||||
"pbf_file_count": len(pbf_files),
|
||||
"report_file_count": len(report_files),
|
||||
"planned_output_features": planned,
|
||||
"report_output_features": output,
|
||||
"decoded_pbf_features": decoded_features,
|
||||
"non_renderable_omissions": non_renderable_omissions,
|
||||
"non_renderable_omission_layers": dict(sorted(non_renderable_omission_layers.items())),
|
||||
"quantization_fallbacks": quantization_fallbacks,
|
||||
"quantization_omissions": quantization_omissions,
|
||||
"quantization_omission_layers": dict(sorted(quantization_omission_layers.items())),
|
||||
"encoder_reconciled_tiles": encoder_reconciled_tiles,
|
||||
"encoder_reconciled_drop_candidates": encoder_reconciled_candidates,
|
||||
"hard_gate_unmapped": hard_gate,
|
||||
"encoder_dropped_features": encoder_dropped,
|
||||
"nav_name_conflicts": name_conflicts,
|
||||
"nav_name_conflict_omissions": nav_name_conflict_audit.get("safe_omission_occurrences", 0),
|
||||
"nav_name_conflict_unique_outputs": nav_name_conflict_audit.get("unique_conflict_outputs", 0),
|
||||
"nav_name_conflict_audit": nav_name_conflict_audit,
|
||||
"duplicate_feature_ids": duplicate_feature_ids,
|
||||
"output_layer_counts": dict(sorted(decoded_layers.items())),
|
||||
"failures": failures,
|
||||
"inventory": inventory,
|
||||
}
|
||||
out = release_dir / "release_manifest_v1.json"
|
||||
out.write_text(json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8")
|
||||
return result
|
||||
174
src/cm95pbf/style_contract.py
Normal file
174
src/cm95pbf/style_contract.py
Normal file
@@ -0,0 +1,174 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from collections import Counter, defaultdict
|
||||
import json
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
import mapbox_vector_tile
|
||||
|
||||
|
||||
SPRITE_PROPERTY_FIELDS = (
|
||||
"chart_icon_image",
|
||||
"chart_fill_pattern",
|
||||
"chart_line_pattern",
|
||||
)
|
||||
|
||||
|
||||
def ev(expr: Any, props: dict[str, Any]):
|
||||
if not isinstance(expr, list):
|
||||
return expr
|
||||
if not expr:
|
||||
return None
|
||||
op = expr[0]
|
||||
if op == "get":
|
||||
return props.get(expr[1])
|
||||
if op == "has":
|
||||
return expr[1] in props
|
||||
if op == "!":
|
||||
return not bool(ev(expr[1], props))
|
||||
if op == "all":
|
||||
return all(bool(ev(x, props)) for x in expr[1:])
|
||||
if op == "any":
|
||||
return any(bool(ev(x, props)) for x in expr[1:])
|
||||
if op == "==":
|
||||
return ev(expr[1], props) == ev(expr[2], props)
|
||||
if op == "!=":
|
||||
return ev(expr[1], props) != ev(expr[2], props)
|
||||
if op == "slice":
|
||||
value = ev(expr[1], props)
|
||||
if value is None:
|
||||
return None
|
||||
start = int(ev(expr[2], props))
|
||||
end = int(ev(expr[3], props)) if len(expr) > 3 else None
|
||||
return str(value)[start:end]
|
||||
if op == "to-number":
|
||||
value = ev(expr[1], props)
|
||||
try:
|
||||
num = float(value)
|
||||
return int(num) if num.is_integer() else num
|
||||
except Exception:
|
||||
return 0
|
||||
if op == "literal":
|
||||
return expr[1]
|
||||
if op == "match":
|
||||
value = ev(expr[1], props)
|
||||
pairs = expr[2:-1]
|
||||
default = expr[-1]
|
||||
for i in range(0, len(pairs), 2):
|
||||
label = pairs[i]
|
||||
output = pairs[i + 1]
|
||||
if isinstance(label, list) and label and label[0] == "literal":
|
||||
labels = label[1]
|
||||
if value in labels:
|
||||
return ev(output, props)
|
||||
elif isinstance(label, list):
|
||||
if value in label:
|
||||
return ev(output, props)
|
||||
elif value == label:
|
||||
return ev(output, props)
|
||||
return ev(default, props)
|
||||
raise RuntimeError(f"unsupported style filter op: {op}")
|
||||
|
||||
|
||||
def audit_pbf_style_and_sprite(
|
||||
pbf_root: Path,
|
||||
style_path: Path,
|
||||
sprite_json_path: Path | None = None,
|
||||
) -> dict[str, Any]:
|
||||
pbf_root = Path(pbf_root)
|
||||
style = json.loads(Path(style_path).read_text(encoding="utf-8"))
|
||||
sprite_keys = None
|
||||
if sprite_json_path is not None:
|
||||
sprite_obj = json.loads(Path(sprite_json_path).read_text(encoding="utf-8"))
|
||||
sprite_keys = set(sprite_obj)
|
||||
|
||||
style_by_source_layer = defaultdict(list)
|
||||
for layer in style.get("layers", []):
|
||||
if layer.get("source") == "navsea_delivery" and layer.get("source-layer"):
|
||||
style_by_source_layer[layer["source-layer"]].append(layer)
|
||||
|
||||
files = sorted(pbf_root.rglob("*.pbf"))
|
||||
contract_unmatched = Counter()
|
||||
zoom_hidden = Counter()
|
||||
visible = Counter()
|
||||
sprite_missing = Counter()
|
||||
sprite_values = Counter()
|
||||
total_features = 0
|
||||
|
||||
for path in files:
|
||||
rel = path.relative_to(pbf_root)
|
||||
if len(rel.parts) < 3:
|
||||
raise RuntimeError(f"PBF path must end with z/x/y.pbf: {path}")
|
||||
z = int(rel.parts[-3])
|
||||
decoded = mapbox_vector_tile.decode(path.read_bytes())
|
||||
for source_layer, layer in decoded.items():
|
||||
style_layers = style_by_source_layer.get(source_layer, [])
|
||||
for feature in layer.get("features", []):
|
||||
total_features += 1
|
||||
props = feature.get("properties") or {}
|
||||
|
||||
filter_matches = []
|
||||
for sl in style_layers:
|
||||
flt = sl.get("filter")
|
||||
if flt is None or bool(ev(flt, props)):
|
||||
filter_matches.append(sl)
|
||||
|
||||
key = (z, source_layer)
|
||||
if not filter_matches:
|
||||
contract_unmatched[key] += 1
|
||||
else:
|
||||
zoom_matches = []
|
||||
for sl in filter_matches:
|
||||
minz = sl.get("minzoom")
|
||||
maxz = sl.get("maxzoom")
|
||||
if minz is not None and z < minz:
|
||||
continue
|
||||
if maxz is not None and z >= maxz:
|
||||
continue
|
||||
zoom_matches.append(sl)
|
||||
if zoom_matches:
|
||||
visible[key] += 1
|
||||
else:
|
||||
zoom_hidden[key] += 1
|
||||
|
||||
if sprite_keys is not None:
|
||||
for field in SPRITE_PROPERTY_FIELDS:
|
||||
value = props.get(field)
|
||||
if isinstance(value, str) and value:
|
||||
sprite_values[(field, value)] += 1
|
||||
if value not in sprite_keys:
|
||||
sprite_missing[(field, value)] += 1
|
||||
|
||||
return {
|
||||
"schema": "navsea.cm95.style-sprite-contract-audit/v1",
|
||||
"pbf_file_count": len(files),
|
||||
"feature_count": total_features,
|
||||
"style_source_layer_count": len(style_by_source_layer),
|
||||
"contract_unmatched_count": sum(contract_unmatched.values()),
|
||||
"zoom_hidden_count": sum(zoom_hidden.values()),
|
||||
"visible_count": sum(visible.values()),
|
||||
"sprite_key_count": None if sprite_keys is None else len(sprite_keys),
|
||||
"sprite_missing_count": sum(sprite_missing.values()),
|
||||
"contract_unmatched": [
|
||||
{"z": z, "source_layer": sl, "count": count}
|
||||
for (z, sl), count in sorted(contract_unmatched.items())
|
||||
],
|
||||
"zoom_hidden": [
|
||||
{"z": z, "source_layer": sl, "count": count}
|
||||
for (z, sl), count in sorted(zoom_hidden.items())
|
||||
],
|
||||
"sprite_missing": [
|
||||
{"field": field, "sprite_key": key, "count": count}
|
||||
for (field, key), count in sorted(sprite_missing.items())
|
||||
],
|
||||
"sprite_values": [
|
||||
{"field": field, "sprite_key": key, "count": count}
|
||||
for (field, key), count in sorted(sprite_values.items())
|
||||
],
|
||||
"overall": (
|
||||
"PASS"
|
||||
if sum(contract_unmatched.values()) == 0 and sum(sprite_missing.values()) == 0
|
||||
else "FAIL"
|
||||
),
|
||||
}
|
||||
611
tools/cm95_global_mapping_gap_audit_v1.py
Normal file
611
tools/cm95_global_mapping_gap_audit_v1.py
Normal file
@@ -0,0 +1,611 @@
|
||||
#!/usr/bin/env python3
|
||||
# -*- coding: utf-8 -*-
|
||||
r"""
|
||||
CM95 全 Dataset → NavSea delivery Mapping Gap 审计 v1
|
||||
|
||||
目的
|
||||
====
|
||||
在已经完成 production 首轮生成后，对 Dataset 全量 chart_feature 与当前
|
||||
cm95_to_navsea_v1.yaml 做只读对照，找出“当前 delivery 不会输出”的真实
|
||||
object_class + geometry_type 组合。
|
||||
|
||||
这一步专门用于 production mapping 收口，不修改数据库、不生成 PBF。
|
||||
|
||||
默认输入：
|
||||
dataset_id = 1
|
||||
mapping = config/mappings/cm95_to_navsea_v1.yaml
|
||||
|
||||
默认输出：
|
||||
build/production/cm95_global_mapping_gap_audit_v1.json
|
||||
build/production/cm95_global_mapping_gap_variants_v1.csv
|
||||
build/production/cm95_global_mapping_gap_samples_v1.jsonl
|
||||
build/production/cm95_global_mapping_gap_summary_v1.txt
|
||||
|
||||
审计内容：
|
||||
- 全 Dataset object_class + geometry_type + native_scale 数量；
|
||||
- 当前 YAML 是否存在 exact rule；
|
||||
- 同 object_class 的其它 geometry rule；
|
||||
- 已知 hard_gate 是否出现未覆盖 geometry variant；
|
||||
- 显式 ENGINEERING_ONLY / cm95_unmapped；
|
||||
- 每个 gap variant 的属性键频率、样本值、relation20 覆盖；
|
||||
- 每个 gap variant 的代表 Feature 样本。
|
||||
|
||||
数据库连接直接读取项目 .env：
|
||||
CM93_DB_HOST
|
||||
CM93_DB_PORT
|
||||
CM93_DB_NAME
|
||||
CM93_DB_USER
|
||||
CM93_DB_PASSWORD
|
||||
|
||||
执行：
|
||||
& ".\.venv\Scripts\python.exe" .\tools\cm95_global_mapping_gap_audit_v1.py `
|
||||
--dataset-id 1 `
|
||||
--mapping .\config\mappings\cm95_to_navsea_v1.yaml
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import csv
|
||||
import json
|
||||
from collections import Counter, defaultdict
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
import pymysql
|
||||
import yaml
|
||||
|
||||
from cm93db.config import load_config
|
||||
|
||||
|
||||
DELIVERY_MAIN_STATUSES = {
|
||||
"MAPPED",
|
||||
"MAPPED_CONDITIONAL",
|
||||
"COMPOSITE",
|
||||
"MAPPED_DERIVED_POINTS",
|
||||
}
|
||||
DELIVERY_DERIVED_STATUSES = {
|
||||
"MAPPED",
|
||||
"MAPPED_CONDITIONAL",
|
||||
"DERIVED_LABEL_ONLY",
|
||||
}
|
||||
|
||||
|
||||
def parse_args():
|
||||
p = argparse.ArgumentParser(
|
||||
description="CM95 全 Dataset → NavSea delivery Mapping Gap 审计 v1"
|
||||
)
|
||||
p.add_argument("--dataset-id", type=int, default=1)
|
||||
p.add_argument(
|
||||
"--mapping",
|
||||
default=r"config\mappings\cm95_to_navsea_v1.yaml",
|
||||
)
|
||||
p.add_argument(
|
||||
"--output",
|
||||
default=r"build\production\cm95_global_mapping_gap_audit_v1.json",
|
||||
)
|
||||
p.add_argument("--sample-per-variant", type=int, default=6)
|
||||
p.add_argument("--attribute-value-limit", type=int, default=12)
|
||||
return p.parse_args()
|
||||
|
||||
|
||||
def json_dict(value: Any) -> dict[str, Any]:
|
||||
if value is None:
|
||||
return {}
|
||||
if isinstance(value, dict):
|
||||
return value
|
||||
if isinstance(value, (bytes, bytearray, memoryview)):
|
||||
value = bytes(value).decode("utf-8", errors="replace")
|
||||
try:
|
||||
obj = json.loads(str(value))
|
||||
return obj if isinstance(obj, dict) else {}
|
||||
except Exception:
|
||||
return {}
|
||||
|
||||
|
||||
def scalar_text(value: Any) -> str:
|
||||
if isinstance(value, (dict, list)):
|
||||
return json.dumps(value, ensure_ascii=False, sort_keys=True, separators=(",", ":"))
|
||||
return str(value)
|
||||
|
||||
|
||||
def load_rules(path: Path):
|
||||
obj = yaml.safe_load(path.read_text(encoding="utf-8")) or {}
|
||||
rules = obj.get("rules") or obj.get("mappings") or []
|
||||
if not isinstance(rules, list):
|
||||
raise RuntimeError("mapping YAML 中找不到 rules/mappings list")
|
||||
|
||||
exact: dict[tuple[str, str], dict[str, Any]] = {}
|
||||
by_class: dict[str, list[dict[str, Any]]] = defaultdict(list)
|
||||
|
||||
for rule in rules:
|
||||
if not isinstance(rule, dict):
|
||||
continue
|
||||
cls = str(rule.get("cm95_object_class") or "").strip()
|
||||
geom = str(rule.get("geometry_type") or "").strip().upper()
|
||||
if not cls or not geom:
|
||||
continue
|
||||
exact[(cls, geom)] = rule
|
||||
by_class[cls].append(rule)
|
||||
|
||||
return obj, exact, by_class
|
||||
|
||||
|
||||
def has_delivery_output(rule: dict[str, Any]) -> bool:
|
||||
status = str(rule.get("mapping_status") or "")
|
||||
target = str(rule.get("target_source_layer") or "")
|
||||
if target and target != "cm95_unmapped" and status in DELIVERY_MAIN_STATUSES:
|
||||
return True
|
||||
|
||||
derived = rule.get("derived_outputs") or []
|
||||
if derived and status in DELIVERY_DERIVED_STATUSES:
|
||||
for item in derived:
|
||||
if not isinstance(item, dict):
|
||||
continue
|
||||
layer = str(item.get("source_layer") or "")
|
||||
if layer and layer != "cm95_unmapped":
|
||||
return True
|
||||
return False
|
||||
|
||||
|
||||
def gap_reason(
|
||||
cls: str,
|
||||
geom: str,
|
||||
exact_rules: dict[tuple[str, str], dict[str, Any]],
|
||||
by_class: dict[str, list[dict[str, Any]]],
|
||||
):
|
||||
rule = exact_rules.get((cls, geom))
|
||||
class_rules = by_class.get(cls, [])
|
||||
|
||||
if rule is None:
|
||||
inherited_hard_gate = any(
|
||||
str(r.get("safety_class") or "") == "hard_gate"
|
||||
for r in class_rules
|
||||
)
|
||||
return {
|
||||
"is_gap": True,
|
||||
"reason": (
|
||||
"NO_EXACT_RULE_KNOWN_HARD_GATE_VARIANT"
|
||||
if inherited_hard_gate
|
||||
else "NO_EXACT_RULE"
|
||||
),
|
||||
"rule": None,
|
||||
"inherited_hard_gate": inherited_hard_gate,
|
||||
}
|
||||
|
||||
if has_delivery_output(rule):
|
||||
return {
|
||||
"is_gap": False,
|
||||
"reason": "DELIVERED",
|
||||
"rule": rule,
|
||||
"inherited_hard_gate": False,
|
||||
}
|
||||
|
||||
target = str(rule.get("target_source_layer") or "")
|
||||
status = str(rule.get("mapping_status") or "")
|
||||
if target == "cm95_unmapped":
|
||||
reason = "EXPLICIT_ENGINEERING_ONLY"
|
||||
else:
|
||||
reason = f"NOT_DELIVERED_STATUS_{status or 'EMPTY'}"
|
||||
|
||||
return {
|
||||
"is_gap": True,
|
||||
"reason": reason,
|
||||
"rule": rule,
|
||||
"inherited_hard_gate": (
|
||||
str(rule.get("safety_class") or "") == "hard_gate"
|
||||
),
|
||||
}
|
||||
|
||||
|
||||
def connect():
|
||||
cfg = load_config()
|
||||
return pymysql.connect(
|
||||
host=cfg.host,
|
||||
port=cfg.port,
|
||||
user=cfg.user,
|
||||
password=cfg.password,
|
||||
database=cfg.database,
|
||||
charset=cfg.charset,
|
||||
cursorclass=pymysql.cursors.DictCursor,
|
||||
autocommit=False,
|
||||
connect_timeout=20,
|
||||
read_timeout=900,
|
||||
write_timeout=30,
|
||||
)
|
||||
|
||||
|
||||
def main():
|
||||
a = parse_args()
|
||||
mapping_path = Path(a.mapping).resolve()
|
||||
output_path = Path(a.output).resolve()
|
||||
outdir = output_path.parent
|
||||
outdir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
_mapping_obj, exact_rules, by_class = load_rules(mapping_path)
|
||||
|
||||
with connect() as conn:
|
||||
try:
|
||||
conn.cursor().execute("SET SESSION TRANSACTION READ ONLY")
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(
|
||||
"""
|
||||
SELECT
|
||||
f.object_class_id,
|
||||
f.object_class,
|
||||
f.geometry_type,
|
||||
f.native_scale,
|
||||
COUNT(*) AS feature_count,
|
||||
COUNT(DISTINCT f.cell_id) AS cell_count
|
||||
FROM chart_feature f
|
||||
WHERE f.dataset_id=%s
|
||||
AND f.geometry_type IN ('POINT','LINE','AREA')
|
||||
GROUP BY
|
||||
f.object_class_id,
|
||||
f.object_class,
|
||||
f.geometry_type,
|
||||
f.native_scale
|
||||
ORDER BY
|
||||
f.object_class,
|
||||
f.geometry_type,
|
||||
f.native_scale
|
||||
""",
|
||||
(a.dataset_id,),
|
||||
)
|
||||
grouped = list(cur.fetchall())
|
||||
|
||||
cur.execute(
|
||||
"""
|
||||
SELECT
|
||||
object_class_id,
|
||||
object_class,
|
||||
geometry_code,
|
||||
display_code,
|
||||
description
|
||||
FROM chart_dictionary_object
|
||||
WHERE dataset_id=%s
|
||||
""",
|
||||
(a.dataset_id,),
|
||||
)
|
||||
dictionary_rows = list(cur.fetchall())
|
||||
|
||||
conn.rollback()
|
||||
|
||||
dictionary = {
|
||||
int(r["object_class_id"]): r
|
||||
for r in dictionary_rows
|
||||
if r.get("object_class_id") is not None
|
||||
}
|
||||
|
||||
variants: dict[tuple[str, str], dict[str, Any]] = {}
|
||||
for row in grouped:
|
||||
cls = str(row["object_class"])
|
||||
geom = str(row["geometry_type"]).upper()
|
||||
key = (cls, geom)
|
||||
v = variants.setdefault(
|
||||
key,
|
||||
{
|
||||
"object_class_id": (
|
||||
int(row["object_class_id"])
|
||||
if row.get("object_class_id") is not None
|
||||
else None
|
||||
),
|
||||
"object_class": cls,
|
||||
"geometry_type": geom,
|
||||
"feature_count": 0,
|
||||
"cell_count_max": 0,
|
||||
"scale_counts": Counter(),
|
||||
},
|
||||
)
|
||||
cnt = int(row["feature_count"])
|
||||
v["feature_count"] += cnt
|
||||
v["cell_count_max"] = max(v["cell_count_max"], int(row["cell_count"]))
|
||||
v["scale_counts"][str(int(row["native_scale"]))] += cnt
|
||||
|
||||
gap_variants = []
|
||||
for key, v in sorted(
|
||||
variants.items(),
|
||||
key=lambda kv: (-kv[1]["feature_count"], kv[0][0], kv[0][1]),
|
||||
):
|
||||
cls, geom = key
|
||||
state = gap_reason(cls, geom, exact_rules, by_class)
|
||||
if not state["is_gap"]:
|
||||
continue
|
||||
|
||||
oid = v["object_class_id"]
|
||||
d = dictionary.get(oid) if oid is not None else None
|
||||
rule = state["rule"]
|
||||
class_rules = by_class.get(cls, [])
|
||||
|
||||
item = {
|
||||
"object_class_id": oid,
|
||||
"object_class": cls,
|
||||
"geometry_type": geom,
|
||||
"feature_count": int(v["feature_count"]),
|
||||
"cell_count": int(v["cell_count_max"]),
|
||||
"scale_counts": dict(sorted(v["scale_counts"].items(), key=lambda x: int(x[0]))),
|
||||
"gap_reason": state["reason"],
|
||||
"dictionary_description": d.get("description") if d else None,
|
||||
"dictionary_geometry_code": d.get("geometry_code") if d else None,
|
||||
"dictionary_display_code": d.get("display_code") if d else None,
|
||||
"exact_rule_id": str(rule.get("rule_id")) if rule else None,
|
||||
"exact_rule_status": str(rule.get("mapping_status")) if rule else None,
|
||||
"exact_rule_target": str(rule.get("target_source_layer")) if rule else None,
|
||||
"exact_rule_safety": str(rule.get("safety_class")) if rule else None,
|
||||
"class_known_geometry_rules": [
|
||||
{
|
||||
"geometry_type": str(r.get("geometry_type") or ""),
|
||||
"rule_id": str(r.get("rule_id") or ""),
|
||||
"target_source_layer": str(r.get("target_source_layer") or ""),
|
||||
"mapping_status": str(r.get("mapping_status") or ""),
|
||||
"safety_class": str(r.get("safety_class") or ""),
|
||||
"canonical_object_type": str(r.get("canonical_object_type") or ""),
|
||||
}
|
||||
for r in class_rules
|
||||
],
|
||||
"inherited_hard_gate": bool(state["inherited_hard_gate"]),
|
||||
"attribute_key_counts": {},
|
||||
"attribute_value_samples": {},
|
||||
"relation20_present": 0,
|
||||
"relation20_missing": 0,
|
||||
"sample_features": [],
|
||||
}
|
||||
gap_variants.append(item)
|
||||
|
||||
gap_keys = {(x["object_class"], x["geometry_type"]) for x in gap_variants}
|
||||
gap_classes = sorted({x[0] for x in gap_keys})
|
||||
|
||||
# Gap rows are normally a small subset of Dataset. Read them once and
|
||||
# build attribute/sample evidence in Python, avoiding dozens of SQL round trips.
|
||||
if gap_classes:
|
||||
placeholders = ",".join(["%s"] * len(gap_classes))
|
||||
with connect() as conn:
|
||||
try:
|
||||
conn.cursor().execute("SET SESSION TRANSACTION READ ONLY")
|
||||
except Exception:
|
||||
pass
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(
|
||||
f"""
|
||||
SELECT
|
||||
f.id AS feature_id,
|
||||
f.cell_id,
|
||||
c.source_relative_path,
|
||||
f.source_record_index,
|
||||
f.object_class_id,
|
||||
f.object_class,
|
||||
f.geometry_type,
|
||||
f.native_scale,
|
||||
f.raw_geotype,
|
||||
f.coverage_id,
|
||||
f.bbox_min_lon,
|
||||
f.bbox_min_lat,
|
||||
f.bbox_max_lon,
|
||||
f.bbox_max_lat,
|
||||
f.attributes_json,
|
||||
f.geometry_repaired,
|
||||
f.geometry_issue
|
||||
FROM chart_feature f
|
||||
JOIN chart_cell c ON c.id=f.cell_id
|
||||
WHERE f.dataset_id=%s
|
||||
AND f.object_class IN ({placeholders})
|
||||
AND f.geometry_type IN ('POINT','LINE','AREA')
|
||||
ORDER BY
|
||||
f.object_class,
|
||||
f.geometry_type,
|
||||
f.native_scale,
|
||||
c.source_relative_path,
|
||||
f.source_record_index
|
||||
""",
|
||||
(a.dataset_id, *gap_classes),
|
||||
)
|
||||
source_rows = list(cur.fetchall())
|
||||
conn.rollback()
|
||||
else:
|
||||
source_rows = []
|
||||
|
||||
item_by_key = {
|
||||
(x["object_class"], x["geometry_type"]): x
|
||||
for x in gap_variants
|
||||
}
|
||||
key_counters: dict[tuple[str, str], Counter] = defaultdict(Counter)
|
||||
value_counters: dict[tuple[str, str, str], Counter] = defaultdict(Counter)
|
||||
sample_counts: Counter = Counter()
|
||||
|
||||
sample_jsonl_path = outdir / "cm95_global_mapping_gap_samples_v1.jsonl"
|
||||
with sample_jsonl_path.open("w", encoding="utf-8") as sample_file:
|
||||
for row in source_rows:
|
||||
key = (
|
||||
str(row["object_class"]),
|
||||
str(row["geometry_type"]).upper(),
|
||||
)
|
||||
item = item_by_key.get(key)
|
||||
if item is None:
|
||||
continue
|
||||
|
||||
attrs = json_dict(row.get("attributes_json"))
|
||||
for attr_key, attr_value in attrs.items():
|
||||
key_counters[key][str(attr_key)] += 1
|
||||
value_counters[(key[0], key[1], str(attr_key))][scalar_text(attr_value)] += 1
|
||||
|
||||
rel = attrs.get("_cm93_relation20_raw")
|
||||
if rel is None or rel == "":
|
||||
item["relation20_missing"] += 1
|
||||
else:
|
||||
item["relation20_present"] += 1
|
||||
|
||||
if sample_counts[key] < max(1, int(a.sample_per_variant)):
|
||||
sample_counts[key] += 1
|
||||
sample = {
|
||||
"feature_id": int(row["feature_id"]),
|
||||
"cell_id": int(row["cell_id"]),
|
||||
"source_relative_path": str(row["source_relative_path"]),
|
||||
"source_record_index": int(row["source_record_index"]),
|
||||
"object_class_id": (
|
||||
int(row["object_class_id"])
|
||||
if row.get("object_class_id") is not None
|
||||
else None
|
||||
),
|
||||
"object_class": key[0],
|
||||
"geometry_type": key[1],
|
||||
"native_scale": int(row["native_scale"]),
|
||||
"raw_geotype": row.get("raw_geotype"),
|
||||
"coverage_id": row.get("coverage_id"),
|
||||
"bbox": [
|
||||
row.get("bbox_min_lon"),
|
||||
row.get("bbox_min_lat"),
|
||||
row.get("bbox_max_lon"),
|
||||
row.get("bbox_max_lat"),
|
||||
],
|
||||
"attributes": attrs,
|
||||
"geometry_repaired": bool(row.get("geometry_repaired")),
|
||||
"geometry_issue": row.get("geometry_issue"),
|
||||
}
|
||||
item["sample_features"].append(sample)
|
||||
sample_file.write(
|
||||
json.dumps(sample, ensure_ascii=False, separators=(",", ":"), default=str)
|
||||
+ "\n"
|
||||
)
|
||||
|
||||
for item in gap_variants:
|
||||
key = (item["object_class"], item["geometry_type"])
|
||||
item["attribute_key_counts"] = dict(
|
||||
key_counters[key].most_common()
|
||||
)
|
||||
values = {}
|
||||
for attr_key, _count in key_counters[key].most_common():
|
||||
values[attr_key] = [
|
||||
{"value": value, "count": count}
|
||||
for value, count in value_counters[
|
||||
(key[0], key[1], attr_key)
|
||||
].most_common(max(1, int(a.attribute_value_limit)))
|
||||
]
|
||||
item["attribute_value_samples"] = values
|
||||
|
||||
reason_counts = Counter()
|
||||
gap_feature_total = 0
|
||||
no_exact_total = 0
|
||||
explicit_total = 0
|
||||
inherited_hard_gate_total = 0
|
||||
for item in gap_variants:
|
||||
reason_counts[item["gap_reason"]] += 1
|
||||
gap_feature_total += int(item["feature_count"])
|
||||
if item["gap_reason"].startswith("NO_EXACT_RULE"):
|
||||
no_exact_total += int(item["feature_count"])
|
||||
else:
|
||||
explicit_total += int(item["feature_count"])
|
||||
if item["inherited_hard_gate"]:
|
||||
inherited_hard_gate_total += int(item["feature_count"])
|
||||
|
||||
report = {
|
||||
"schema": "navsea.cm95.global-mapping-gap-audit/v1",
|
||||
"dataset_id": int(a.dataset_id),
|
||||
"mapping_path": str(mapping_path),
|
||||
"source_variant_count": len(variants),
|
||||
"gap_variant_count": len(gap_variants),
|
||||
"gap_object_class_count": len({x["object_class"] for x in gap_variants}),
|
||||
"gap_feature_total": gap_feature_total,
|
||||
"no_exact_rule_feature_total": no_exact_total,
|
||||
"explicit_engineering_or_status_gap_feature_total": explicit_total,
|
||||
"inherited_hard_gate_feature_total": inherited_hard_gate_total,
|
||||
"gap_reason_counts": dict(reason_counts),
|
||||
"gap_variants": gap_variants,
|
||||
}
|
||||
|
||||
output_path.write_text(
|
||||
json.dumps(report, ensure_ascii=False, indent=2, default=str),
|
||||
encoding="utf-8",
|
||||
)
|
||||
|
||||
csv_path = outdir / "cm95_global_mapping_gap_variants_v1.csv"
|
||||
with csv_path.open("w", encoding="utf-8-sig", newline="") as f:
|
||||
fields = [
|
||||
"object_class_id",
|
||||
"object_class",
|
||||
"geometry_type",
|
||||
"feature_count",
|
||||
"cell_count",
|
||||
"gap_reason",
|
||||
"inherited_hard_gate",
|
||||
"dictionary_description",
|
||||
"dictionary_geometry_code",
|
||||
"dictionary_display_code",
|
||||
"exact_rule_id",
|
||||
"exact_rule_status",
|
||||
"exact_rule_target",
|
||||
"exact_rule_safety",
|
||||
"scale_counts",
|
||||
"known_geometry_rules",
|
||||
"attribute_keys",
|
||||
"relation20_present",
|
||||
"relation20_missing",
|
||||
]
|
||||
w = csv.DictWriter(f, fieldnames=fields)
|
||||
w.writeheader()
|
||||
for item in gap_variants:
|
||||
w.writerow(
|
||||
{
|
||||
"object_class_id": item["object_class_id"],
|
||||
"object_class": item["object_class"],
|
||||
"geometry_type": item["geometry_type"],
|
||||
"feature_count": item["feature_count"],
|
||||
"cell_count": item["cell_count"],
|
||||
"gap_reason": item["gap_reason"],
|
||||
"inherited_hard_gate": item["inherited_hard_gate"],
|
||||
"dictionary_description": item["dictionary_description"],
|
||||
"dictionary_geometry_code": item["dictionary_geometry_code"],
|
||||
"dictionary_display_code": item["dictionary_display_code"],
|
||||
"exact_rule_id": item["exact_rule_id"],
|
||||
"exact_rule_status": item["exact_rule_status"],
|
||||
"exact_rule_target": item["exact_rule_target"],
|
||||
"exact_rule_safety": item["exact_rule_safety"],
|
||||
"scale_counts": json.dumps(item["scale_counts"], ensure_ascii=False, separators=(",", ":")),
|
||||
"known_geometry_rules": json.dumps(item["class_known_geometry_rules"], ensure_ascii=False, separators=(",", ":")),
|
||||
"attribute_keys": json.dumps(item["attribute_key_counts"], ensure_ascii=False, separators=(",", ":")),
|
||||
"relation20_present": item["relation20_present"],
|
||||
"relation20_missing": item["relation20_missing"],
|
||||
}
|
||||
)
|
||||
|
||||
txt_path = outdir / "cm95_global_mapping_gap_summary_v1.txt"
|
||||
lines = [
|
||||
"CM95 全 Dataset → NavSea delivery Mapping Gap 审计 v1",
|
||||
"=" * 76,
|
||||
f"Dataset ID : {a.dataset_id}",
|
||||
f"Source variants : {len(variants)}",
|
||||
f"Gap variants : {len(gap_variants)}",
|
||||
f"Gap object classes : {report['gap_object_class_count']}",
|
||||
f"Gap feature rows : {gap_feature_total}",
|
||||
f"No exact rule rows : {no_exact_total}",
|
||||
f"Explicit/status gap rows: {explicit_total}",
|
||||
f"Inherited hard-gate rows: {inherited_hard_gate_total}",
|
||||
"",
|
||||
"Top gap variants:",
|
||||
]
|
||||
for item in gap_variants[:80]:
|
||||
scales = ",".join(
|
||||
f"{k}:{v}" for k, v in item["scale_counts"].items()
|
||||
)
|
||||
lines.append(
|
||||
f" {item['object_class']:<10} {item['geometry_type']:<5} "
|
||||
f"rows={item['feature_count']:<6} "
|
||||
f"reason={item['gap_reason']:<34} "
|
||||
f"hard={str(item['inherited_hard_gate']):<5} "
|
||||
f"scales=[{scales}]"
|
||||
)
|
||||
lines += [
|
||||
"",
|
||||
f"JSON : {output_path}",
|
||||
f"CSV : {csv_path}",
|
||||
f"SAMPLES: {sample_jsonl_path}",
|
||||
]
|
||||
txt_path.write_text("\n".join(lines), encoding="utf-8")
|
||||
|
||||
print("\n".join(lines))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
105
tools/cm95_global_mapping_gap_closure_audit_v2.py
Normal file
105
tools/cm95_global_mapping_gap_closure_audit_v2.py
Normal file
@@ -0,0 +1,105 @@
|
||||
#!/usr/bin/env python3
|
||||
# -*- coding: utf-8 -*-
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
import yaml
|
||||
|
||||
DELIVERY_STATUSES = {"MAPPED", "MAPPED_CONDITIONAL", "COMPOSITE", "MAPPED_DERIVED_POINTS"}
|
||||
|
||||
|
||||
def parse_args():
|
||||
p = argparse.ArgumentParser(description="CM95 全 Dataset Mapping Gap 分类收口审计 v2")
|
||||
p.add_argument("--gap-audit", default="build/production/cm95_global_mapping_gap_audit_v1.json")
|
||||
p.add_argument("--mapping", default="config/mappings/cm95_to_navsea_v1.yaml")
|
||||
p.add_argument("--disposition", default="config/mappings/cm95_gap_disposition_v1.yaml")
|
||||
p.add_argument("--output", default="build/production/cm95_global_mapping_gap_closure_audit_v2.json")
|
||||
return p.parse_args()
|
||||
|
||||
|
||||
def main():
|
||||
a = parse_args()
|
||||
gap = json.loads(Path(a.gap_audit).read_text(encoding="utf-8"))
|
||||
mapping = yaml.safe_load(Path(a.mapping).read_text(encoding="utf-8")) or {}
|
||||
disposition = yaml.safe_load(Path(a.disposition).read_text(encoding="utf-8")) or {}
|
||||
|
||||
rules = {
|
||||
(str(r.get("cm95_object_class") or ""), str(r.get("geometry_type") or "").upper()): r
|
||||
for r in mapping.get("rules") or []
|
||||
if isinstance(r, dict)
|
||||
}
|
||||
disp = {
|
||||
(str(r.get("object_class") or ""), str(r.get("geometry_type") or "").upper()): r
|
||||
for r in disposition.get("variants") or []
|
||||
if isinstance(r, dict)
|
||||
}
|
||||
|
||||
unclassified = []
|
||||
pending = []
|
||||
existing_non_delivery = []
|
||||
newly_delivery = []
|
||||
for item in gap.get("gap_variants") or []:
|
||||
key = (str(item.get("object_class") or ""), str(item.get("geometry_type") or "").upper())
|
||||
d = disp.get(key)
|
||||
if d is None:
|
||||
unclassified.append({"object_class": key[0], "geometry_type": key[1], "feature_count": item.get("feature_count")})
|
||||
continue
|
||||
state = str(d.get("disposition") or "")
|
||||
row = {
|
||||
"object_class": key[0],
|
||||
"geometry_type": key[1],
|
||||
"feature_count": int(item.get("feature_count") or 0),
|
||||
"disposition": state,
|
||||
}
|
||||
if state == "ENGINEERING_ONLY_PENDING_SEMANTIC_REVIEW":
|
||||
pending.append(row)
|
||||
elif state == "DELIVERY_MAPPED_V1_4_3":
|
||||
newly_delivery.append(row)
|
||||
elif state.startswith("EXISTING_"):
|
||||
existing_non_delivery.append(row)
|
||||
|
||||
fish = rules.get(("FSHHAV", "AREA"))
|
||||
fish_ok = bool(
|
||||
fish
|
||||
and str(fish.get("target_source_layer")) == "anchor_caution_hazard_area"
|
||||
and str(fish.get("safety_class")) == "hard_gate"
|
||||
and str(fish.get("mapping_status")) in DELIVERY_STATUSES
|
||||
)
|
||||
|
||||
contract = mapping.get("production_change_contract") or {}
|
||||
changed_classes = sorted({str(v) for v in contract.get("delivery_output_changed_object_classes") or []})
|
||||
changed_ok = changed_classes == ["FSHHAV"]
|
||||
|
||||
result = {
|
||||
"schema": "navsea.cm95.global-mapping-gap-closure-audit/v2",
|
||||
"dataset_id": gap.get("dataset_id"),
|
||||
"observed_gap_variants": len(gap.get("gap_variants") or []),
|
||||
"unclassified_variants": unclassified,
|
||||
"newly_delivery_mapped": newly_delivery,
|
||||
"existing_explicit_non_delivery": existing_non_delivery,
|
||||
"pending_semantic_review": pending,
|
||||
"pending_semantic_review_feature_rows": sum(x["feature_count"] for x in pending),
|
||||
"fshhav_area_hard_gate_mapping_ok": fish_ok,
|
||||
"delivery_output_changed_object_classes": changed_classes,
|
||||
"delivery_change_contract_ok": changed_ok,
|
||||
"semantic_completeness": "COMPLETE" if not pending else "PENDING_REVIEW",
|
||||
"overall": "PASS" if not unclassified and fish_ok and changed_ok else "FAIL",
|
||||
}
|
||||
Path(a.output).parent.mkdir(parents=True, exist_ok=True)
|
||||
Path(a.output).write_text(json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8")
|
||||
|
||||
print(f"Observed gap variants : {result['observed_gap_variants']}")
|
||||
print(f"Unclassified variants : {len(unclassified)}")
|
||||
print(f"New delivery mappings : {len(newly_delivery)}")
|
||||
print(f"Pending semantic review : {len(pending)} variants / {result['pending_semantic_review_feature_rows']} rows")
|
||||
print(f"FSHHAV AREA hard-gate : {'PASS' if fish_ok else 'FAIL'}")
|
||||
print(f"Delivery change contract: {'PASS' if changed_ok else 'FAIL'} {changed_classes}")
|
||||
print(f"Semantic completeness : {result['semantic_completeness']}")
|
||||
print(f"OVERALL classification : {result['overall']}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
190
tools/cm95_mapping_contract_check_v1.py
Normal file
190
tools/cm95_mapping_contract_check_v1.py
Normal file
@@ -0,0 +1,190 @@
|
||||
#!/usr/bin/env python3
|
||||
# -*- coding: utf-8 -*-
|
||||
r"""
|
||||
CM95 → NavSea Mapping Contract 静态检查 v1
|
||||
|
||||
检查：
|
||||
1. mapping 的正式 target_source_layer 是否被当前 style 实际消费；
|
||||
2. chart_icon_image / chart_fill_pattern / chart_line_pattern 常量是否存在于 semantic sprite；
|
||||
3. cm95_unmapped 不视为正式 style layer；
|
||||
4. 输出 PASS/FAIL JSON。
|
||||
|
||||
示例：
|
||||
python .\tools\cm95_mapping_contract_check_v1.py `
|
||||
--mapping .\config\mappings\cm95_to_navsea_v1.yaml `
|
||||
--style D:\path\style.navsea-delivery-full-semantic-unified-20260808.json `
|
||||
--sprite-json D:\path\semantic-sprite\sprite.json
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
import yaml
|
||||
|
||||
|
||||
SPRITE_FIELDS = {
|
||||
"chart_icon_image",
|
||||
"chart_fill_pattern",
|
||||
"chart_line_pattern",
|
||||
}
|
||||
|
||||
|
||||
def parse_args():
|
||||
p = argparse.ArgumentParser()
|
||||
p.add_argument("--mapping", required=True)
|
||||
p.add_argument("--style", required=True)
|
||||
p.add_argument("--sprite-json", required=True)
|
||||
p.add_argument("--output", default="cm95_mapping_contract_check_v1.json")
|
||||
return p.parse_args()
|
||||
|
||||
|
||||
def const_value(v):
|
||||
if isinstance(v, dict) and set(v.keys()) == {"const"}:
|
||||
return v["const"]
|
||||
if isinstance(v, str):
|
||||
return v
|
||||
return None
|
||||
|
||||
|
||||
def collect_sprite_refs(style_fields, path="style_fields"):
|
||||
out = []
|
||||
if not isinstance(style_fields, dict):
|
||||
return out
|
||||
for k, v in style_fields.items():
|
||||
p = f"{path}.{k}"
|
||||
if k in SPRITE_FIELDS:
|
||||
c = const_value(v)
|
||||
if isinstance(c, str) and c:
|
||||
out.append((p, c))
|
||||
if isinstance(v, dict):
|
||||
out.extend(collect_sprite_refs(v, p))
|
||||
elif isinstance(v, list):
|
||||
for i, item in enumerate(v):
|
||||
if isinstance(item, dict):
|
||||
out.extend(
|
||||
collect_sprite_refs(item, f"{p}[{i}]")
|
||||
)
|
||||
return out
|
||||
|
||||
|
||||
def main():
|
||||
a = parse_args()
|
||||
|
||||
mapping = yaml.safe_load(
|
||||
Path(a.mapping).read_text(encoding="utf-8")
|
||||
)
|
||||
style = json.loads(
|
||||
Path(a.style).read_text(encoding="utf-8")
|
||||
)
|
||||
sprite = json.loads(
|
||||
Path(a.sprite_json).read_text(encoding="utf-8")
|
||||
)
|
||||
|
||||
style_layers = {
|
||||
layer.get("source-layer")
|
||||
for layer in style.get("layers", [])
|
||||
if layer.get("source") == "navsea_delivery"
|
||||
and layer.get("source-layer")
|
||||
}
|
||||
sprite_keys = set(sprite)
|
||||
|
||||
layer_failures = []
|
||||
sprite_failures = []
|
||||
|
||||
for rule in mapping.get("rules", []):
|
||||
rid = rule.get("rule_id")
|
||||
target = rule.get("target_source_layer")
|
||||
|
||||
if (
|
||||
target
|
||||
and target != "cm95_unmapped"
|
||||
and target not in style_layers
|
||||
):
|
||||
layer_failures.append({
|
||||
"rule_id": rid,
|
||||
"target_source_layer": target,
|
||||
})
|
||||
|
||||
for p, key in collect_sprite_refs(
|
||||
rule.get("style_fields", {})
|
||||
):
|
||||
if key not in sprite_keys:
|
||||
sprite_failures.append({
|
||||
"rule_id": rid,
|
||||
"path": p,
|
||||
"sprite_key": key,
|
||||
})
|
||||
|
||||
for i, derived in enumerate(
|
||||
rule.get("derived_outputs", []) or []
|
||||
):
|
||||
layer = derived.get("source_layer")
|
||||
if (
|
||||
layer
|
||||
and layer != "cm95_unmapped"
|
||||
and layer not in style_layers
|
||||
):
|
||||
layer_failures.append({
|
||||
"rule_id": rid,
|
||||
"derived_index": i,
|
||||
"target_source_layer": layer,
|
||||
})
|
||||
|
||||
for p, key in collect_sprite_refs(
|
||||
derived.get("style_fields", {}),
|
||||
f"derived_outputs[{i}].style_fields",
|
||||
):
|
||||
if key not in sprite_keys:
|
||||
sprite_failures.append({
|
||||
"rule_id": rid,
|
||||
"path": p,
|
||||
"sprite_key": key,
|
||||
})
|
||||
|
||||
result = {
|
||||
"mapping": str(Path(a.mapping).resolve()),
|
||||
"style": str(Path(a.style).resolve()),
|
||||
"sprite_json": str(Path(a.sprite_json).resolve()),
|
||||
"style_source_layer_count": len(style_layers),
|
||||
"sprite_key_count": len(sprite_keys),
|
||||
"rule_count": len(mapping.get("rules", [])),
|
||||
"layer_failures": layer_failures,
|
||||
"sprite_failures": sprite_failures,
|
||||
"failure_count": (
|
||||
len(layer_failures) + len(sprite_failures)
|
||||
),
|
||||
}
|
||||
result["overall"] = (
|
||||
"PASS" if result["failure_count"] == 0 else "FAIL"
|
||||
)
|
||||
|
||||
Path(a.output).write_text(
|
||||
json.dumps(result, ensure_ascii=False, indent=2),
|
||||
encoding="utf-8",
|
||||
)
|
||||
|
||||
print(
|
||||
f"Rules : {result['rule_count']}"
|
||||
)
|
||||
print(
|
||||
f"Style source layers : {result['style_source_layer_count']}"
|
||||
)
|
||||
print(
|
||||
f"Sprite keys : {result['sprite_key_count']}"
|
||||
)
|
||||
print(
|
||||
f"Layer failures : {len(layer_failures)}"
|
||||
)
|
||||
print(
|
||||
f"Sprite failures : {len(sprite_failures)}"
|
||||
)
|
||||
print(
|
||||
f"OVERALL : {result['overall']}"
|
||||
)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
375
tools/cm95_nav_aid_relation_audit_v1.py
Normal file
375
tools/cm95_nav_aid_relation_audit_v1.py
Normal file
@@ -0,0 +1,375 @@
|
||||
#!/usr/bin/env python3
|
||||
# -*- coding: utf-8 -*-
|
||||
r"""
|
||||
CM95 / CM93 助航 relation20 全 AOI 审计 v1
|
||||
|
||||
用途
|
||||
====
|
||||
验证选定 PBF AOI（默认 z10/914/385）中 CM93 助航对象的
|
||||
`_cm93_relation20_raw` 是否可以作为 CM95→NavSea `navigation_marks`
|
||||
的稳定合成键。
|
||||
|
||||
重点检查：
|
||||
- LIGHTS 与 BCNLAT / BCNSPP / BOYSPP / RTPBCN / TOWERS / _extgn 等是否共享 relation20；
|
||||
- 同一 relation20 组的坐标是否一致；
|
||||
- 是否存在一个 relation20 对应多个不相干坐标；
|
||||
- LIGHTS 中有多少可以安全合并，有多少必须独立输出；
|
||||
- relation20 缺失情况；
|
||||
- 跨 Cell 不合并。
|
||||
|
||||
本脚本只读 MySQL，不修改 importer/schema。
|
||||
|
||||
默认 AOI：
|
||||
z10/914/385
|
||||
lon 141.328125 .. 141.6796875
|
||||
lat 40.44694705960049 .. 40.71395582628604
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import csv
|
||||
import getpass
|
||||
import json
|
||||
import math
|
||||
from collections import Counter, defaultdict
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
|
||||
import pymysql
|
||||
from pymysql.cursors import DictCursor
|
||||
|
||||
|
||||
NAV_CLASSES = {
|
||||
"LIGHTS",
|
||||
"BCNLAT",
|
||||
"BCNSPP",
|
||||
"BOYSPP",
|
||||
"RTPBCN",
|
||||
"TOWERS",
|
||||
"_extgn",
|
||||
"SISTAT",
|
||||
"SISTAW",
|
||||
}
|
||||
|
||||
BASE_CLASSES = {
|
||||
"BCNLAT",
|
||||
"BCNSPP",
|
||||
"BOYSPP",
|
||||
"RTPBCN",
|
||||
"TOWERS",
|
||||
"_extgn",
|
||||
"SISTAT",
|
||||
"SISTAW",
|
||||
}
|
||||
|
||||
|
||||
def parse_args():
|
||||
p = argparse.ArgumentParser()
|
||||
p.add_argument("--host", default="127.0.0.1")
|
||||
p.add_argument("--port", type=int, default=3306)
|
||||
p.add_argument("--user", default="root")
|
||||
p.add_argument("--password", default=None)
|
||||
p.add_argument("--database", default="cm93_chart")
|
||||
p.add_argument("--dataset-id", type=int, default=1)
|
||||
|
||||
p.add_argument("--min-lon", type=float, default=141.328125)
|
||||
p.add_argument("--min-lat", type=float, default=40.44694705960049)
|
||||
p.add_argument("--max-lon", type=float, default=141.6796875)
|
||||
p.add_argument("--max-lat", type=float, default=40.71395582628604)
|
||||
|
||||
p.add_argument(
|
||||
"--coord-tolerance-deg",
|
||||
type=float,
|
||||
default=1e-7,
|
||||
help="同 relation20 组坐标最大容差，默认约厘米级～十米级以下的严格检查",
|
||||
)
|
||||
p.add_argument("--output-dir", default=".")
|
||||
return p.parse_args()
|
||||
|
||||
|
||||
def rel20(attrs):
|
||||
if not isinstance(attrs, dict):
|
||||
return None
|
||||
v = attrs.get("_cm93_relation20_raw")
|
||||
if v is None:
|
||||
return None
|
||||
try:
|
||||
return int(v)
|
||||
except Exception:
|
||||
return str(v)
|
||||
|
||||
|
||||
def coord_distance_deg(a, b):
|
||||
return math.hypot(a[0] - b[0], a[1] - b[1])
|
||||
|
||||
|
||||
def write_csv(path, rows):
|
||||
rows = list(rows)
|
||||
if not rows:
|
||||
path.write_text("", encoding="utf-8-sig")
|
||||
return
|
||||
keys = []
|
||||
seen = set()
|
||||
for row in rows:
|
||||
for k in row:
|
||||
if k not in seen:
|
||||
seen.add(k)
|
||||
keys.append(k)
|
||||
with path.open("w", encoding="utf-8-sig", newline="") as f:
|
||||
w = csv.DictWriter(f, fieldnames=keys)
|
||||
w.writeheader()
|
||||
for row in rows:
|
||||
out = {}
|
||||
for k in keys:
|
||||
v = row.get(k)
|
||||
if isinstance(v, (list, dict, tuple)):
|
||||
v = json.dumps(v, ensure_ascii=False, default=str)
|
||||
out[k] = v
|
||||
w.writerow(out)
|
||||
|
||||
|
||||
def main():
|
||||
a = parse_args()
|
||||
if a.password is None:
|
||||
a.password = getpass.getpass("MySQL password: ")
|
||||
|
||||
outdir = Path(a.output_dir).resolve()
|
||||
outdir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
conn = pymysql.connect(
|
||||
host=a.host,
|
||||
port=a.port,
|
||||
user=a.user,
|
||||
password=a.password,
|
||||
database=a.database,
|
||||
charset="utf8mb4",
|
||||
cursorclass=DictCursor,
|
||||
autocommit=False,
|
||||
connect_timeout=20,
|
||||
read_timeout=900,
|
||||
)
|
||||
|
||||
rows = []
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
try:
|
||||
cur.execute("SET SESSION TRANSACTION READ ONLY")
|
||||
except Exception:
|
||||
pass
|
||||
try:
|
||||
cur.execute("START TRANSACTION READ ONLY")
|
||||
except Exception:
|
||||
cur.execute("START TRANSACTION")
|
||||
|
||||
placeholders = ",".join(["%s"] * len(NAV_CLASSES))
|
||||
sql = f"""
|
||||
SELECT
|
||||
f.id AS feature_id,
|
||||
f.cell_id,
|
||||
c.source_relative_path,
|
||||
f.source_record_index,
|
||||
f.object_class,
|
||||
f.native_scale,
|
||||
f.bbox_min_lon,
|
||||
f.bbox_min_lat,
|
||||
f.attributes_json
|
||||
FROM chart_feature f
|
||||
JOIN chart_cell c ON c.id=f.cell_id
|
||||
WHERE f.dataset_id=%s
|
||||
AND f.geometry_type='POINT'
|
||||
AND f.object_class IN ({placeholders})
|
||||
AND f.bbox_min_lon BETWEEN %s AND %s
|
||||
AND f.bbox_min_lat BETWEEN %s AND %s
|
||||
ORDER BY
|
||||
f.cell_id,
|
||||
f.native_scale,
|
||||
f.object_class,
|
||||
f.source_record_index
|
||||
"""
|
||||
params = [
|
||||
a.dataset_id,
|
||||
*sorted(NAV_CLASSES),
|
||||
a.min_lon,
|
||||
a.max_lon,
|
||||
a.min_lat,
|
||||
a.max_lat,
|
||||
]
|
||||
cur.execute(sql, params)
|
||||
rows = list(cur.fetchall())
|
||||
conn.rollback()
|
||||
finally:
|
||||
conn.close()
|
||||
|
||||
for row in rows:
|
||||
attrs = row.get("attributes_json")
|
||||
if isinstance(attrs, str):
|
||||
try:
|
||||
attrs = json.loads(attrs)
|
||||
except Exception:
|
||||
attrs = {}
|
||||
elif attrs is None:
|
||||
attrs = {}
|
||||
row["attributes"] = attrs
|
||||
row["relation20"] = rel20(attrs)
|
||||
row["lon"] = float(row["bbox_min_lon"])
|
||||
row["lat"] = float(row["bbox_min_lat"])
|
||||
row.pop("attributes_json", None)
|
||||
|
||||
groups = defaultdict(list)
|
||||
no_relation = []
|
||||
for row in rows:
|
||||
rel = row["relation20"]
|
||||
if rel is None:
|
||||
no_relation.append(row)
|
||||
else:
|
||||
groups[(int(row["cell_id"]), rel)].append(row)
|
||||
|
||||
group_rows = []
|
||||
light_total = 0
|
||||
light_with_relation = 0
|
||||
light_mergeable = 0
|
||||
light_relation_without_base = 0
|
||||
coord_conflict_groups = 0
|
||||
|
||||
for row in rows:
|
||||
if row["object_class"] == "LIGHTS":
|
||||
light_total += 1
|
||||
if row["relation20"] is not None:
|
||||
light_with_relation += 1
|
||||
|
||||
for (cell_id, relation20), members in sorted(groups.items()):
|
||||
classes = Counter(m["object_class"] for m in members)
|
||||
coords = [(m["lon"], m["lat"]) for m in members]
|
||||
base = coords[0]
|
||||
max_spread = max(coord_distance_deg(base, c) for c in coords)
|
||||
|
||||
has_light = classes["LIGHTS"] > 0
|
||||
base_members = [
|
||||
m for m in members
|
||||
if m["object_class"] in BASE_CLASSES
|
||||
]
|
||||
has_base = bool(base_members)
|
||||
|
||||
if max_spread > a.coord_tolerance_deg:
|
||||
coord_conflict_groups += 1
|
||||
|
||||
if has_light and has_base and max_spread <= a.coord_tolerance_deg:
|
||||
light_mergeable += classes["LIGHTS"]
|
||||
elif has_light and not has_base:
|
||||
light_relation_without_base += classes["LIGHTS"]
|
||||
|
||||
group_rows.append({
|
||||
"cell_id": cell_id,
|
||||
"relation20": relation20,
|
||||
"member_count": len(members),
|
||||
"classes": dict(classes),
|
||||
"has_light": has_light,
|
||||
"has_base_component": has_base,
|
||||
"base_classes": sorted(
|
||||
set(m["object_class"] for m in base_members)
|
||||
),
|
||||
"max_coord_spread_deg": max_spread,
|
||||
"coord_ok": max_spread <= a.coord_tolerance_deg,
|
||||
"members": [
|
||||
{
|
||||
"feature_id": m["feature_id"],
|
||||
"source_record_index": m["source_record_index"],
|
||||
"object_class": m["object_class"],
|
||||
"native_scale": m["native_scale"],
|
||||
"lon": m["lon"],
|
||||
"lat": m["lat"],
|
||||
"attributes": m["attributes"],
|
||||
}
|
||||
for m in members
|
||||
],
|
||||
})
|
||||
|
||||
no_relation_counts = Counter(
|
||||
r["object_class"] for r in no_relation
|
||||
)
|
||||
|
||||
standalone_lights = [
|
||||
r for r in rows
|
||||
if r["object_class"] == "LIGHTS"
|
||||
and (
|
||||
r["relation20"] is None
|
||||
or not any(
|
||||
g["cell_id"] == r["cell_id"]
|
||||
and g["relation20"] == r["relation20"]
|
||||
and g["has_base_component"]
|
||||
and g["coord_ok"]
|
||||
for g in group_rows
|
||||
)
|
||||
)
|
||||
]
|
||||
|
||||
report = {
|
||||
"version": "v1",
|
||||
"generated_at": datetime.now().isoformat(timespec="seconds"),
|
||||
"dataset_id": a.dataset_id,
|
||||
"aoi_bbox": [
|
||||
a.min_lon, a.min_lat, a.max_lon, a.max_lat
|
||||
],
|
||||
"coord_tolerance_deg": a.coord_tolerance_deg,
|
||||
"counts": {
|
||||
"nav_point_rows": len(rows),
|
||||
"relation_groups": len(groups),
|
||||
"rows_without_relation20": len(no_relation),
|
||||
"coord_conflict_groups": coord_conflict_groups,
|
||||
"light_total": light_total,
|
||||
"light_with_relation20": light_with_relation,
|
||||
"light_mergeable_by_relation20": light_mergeable,
|
||||
"light_relation_without_base": light_relation_without_base,
|
||||
"light_standalone_required": len(standalone_lights),
|
||||
},
|
||||
"no_relation_by_class": dict(no_relation_counts),
|
||||
"groups": group_rows,
|
||||
"standalone_lights": standalone_lights,
|
||||
"decision": (
|
||||
"PASS_RELATION20_PRIMARY_KEY"
|
||||
if light_total > 0
|
||||
and light_mergeable > 0
|
||||
and coord_conflict_groups == 0
|
||||
else "REVIEW_RELATION20"
|
||||
),
|
||||
}
|
||||
|
||||
json_path = outdir / "cm95_nav_aid_relation_audit_v1.json"
|
||||
csv_path = outdir / "cm95_nav_aid_relation_groups_v1.csv"
|
||||
txt_path = outdir / "cm95_nav_aid_relation_audit_v1.txt"
|
||||
|
||||
json_path.write_text(
|
||||
json.dumps(report, ensure_ascii=False, indent=2, default=str),
|
||||
encoding="utf-8",
|
||||
)
|
||||
write_csv(csv_path, group_rows)
|
||||
|
||||
lines = [
|
||||
"CM95 / CM93 助航 relation20 全 AOI 审计 v1",
|
||||
"=" * 76,
|
||||
f"NAV point rows : {len(rows)}",
|
||||
f"Relation groups : {len(groups)}",
|
||||
f"Rows without relation20 : {len(no_relation)}",
|
||||
f"Coordinate conflict groups : {coord_conflict_groups}",
|
||||
"",
|
||||
f"LIGHTS total : {light_total}",
|
||||
f"LIGHTS with relation20 : {light_with_relation}",
|
||||
f"LIGHTS mergeable : {light_mergeable}",
|
||||
f"LIGHTS relation no base : {light_relation_without_base}",
|
||||
f"LIGHTS standalone required : {len(standalone_lights)}",
|
||||
"",
|
||||
f"DECISION : {report['decision']}",
|
||||
]
|
||||
txt_path.write_text("\n".join(lines), encoding="utf-8")
|
||||
|
||||
print("\n".join(lines))
|
||||
print("")
|
||||
print("输出:")
|
||||
print(json_path)
|
||||
print(csv_path)
|
||||
print(txt_path)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
546
tools/cm95_nav_name_candidate_audit_v1.py
Normal file
546
tools/cm95_nav_name_candidate_audit_v1.py
Normal file
@@ -0,0 +1,546 @@
|
||||
#!/usr/bin/env python3
|
||||
# -*- coding: utf-8 -*-
|
||||
r"""
|
||||
CM95 / CM93 助航名称候选审计 v1
|
||||
|
||||
目的
|
||||
====
|
||||
为 CM95→NavSea `navigation_marks.chart_label_text` 找到可审计的 CM95 自有名称来源，
|
||||
不使用 NEWPEC/reference PBF 名称反灌。
|
||||
|
||||
默认检查第一测试 AOI：
|
||||
z10/914/385
|
||||
lon 141.328125 .. 141.6796875
|
||||
lat 40.44694705960049 .. 40.71395582628604
|
||||
默认重点比例尺：
|
||||
1:200000
|
||||
|
||||
候选来源：
|
||||
1. 助航组件自身 OBJNAM / NOBJNM；
|
||||
2. 同 cell、同 native_scale 的 `_texto._texta.text`；
|
||||
3. 同 native_scale、邻近 cell 的 `_texto._texta.text`，仅作为低置信参考。
|
||||
|
||||
关联原则：
|
||||
- 助航组件仍然用 `(cell_id, _cm93_relation20_raw)` 合成；
|
||||
- 本脚本只审计名称，不改变 relation20 合成规则；
|
||||
- 不自动把最近文字当名称；
|
||||
- 输出距离和来源，由下一步确定安全规则。
|
||||
|
||||
输出：
|
||||
cm95_nav_name_candidates_v1.json
|
||||
cm95_nav_name_candidates_v1.csv
|
||||
cm95_nav_name_candidates_v1.txt
|
||||
|
||||
执行：
|
||||
python .\tools\cm95_nav_name_candidate_audit_v1.py `
|
||||
--host 127.0.0.1 `
|
||||
--port 3306 `
|
||||
--user root `
|
||||
--database cm93_chart `
|
||||
--dataset-id 1 `
|
||||
--native-scale 200000
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import csv
|
||||
import getpass
|
||||
import json
|
||||
import math
|
||||
from collections import defaultdict
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
import pymysql
|
||||
from pymysql.cursors import DictCursor
|
||||
|
||||
|
||||
NAV_CLASSES = {
|
||||
"LIGHTS",
|
||||
"BCNLAT",
|
||||
"BCNSPP",
|
||||
"BOYSPP",
|
||||
"RTPBCN",
|
||||
"TOWERS",
|
||||
"_extgn",
|
||||
"SISTAT",
|
||||
"SISTAW",
|
||||
}
|
||||
|
||||
DIRECT_NAME_KEYS = (
|
||||
"OBJNAM",
|
||||
"NOBJNM",
|
||||
)
|
||||
|
||||
DEFAULT_BBOX = (
|
||||
141.328125,
|
||||
40.44694705960049,
|
||||
141.6796875,
|
||||
40.71395582628604,
|
||||
)
|
||||
|
||||
|
||||
def parse_args():
|
||||
p = argparse.ArgumentParser()
|
||||
p.add_argument("--host", default="127.0.0.1")
|
||||
p.add_argument("--port", type=int, default=3306)
|
||||
p.add_argument("--user", default="root")
|
||||
p.add_argument("--password", default=None)
|
||||
p.add_argument("--database", default="cm93_chart")
|
||||
p.add_argument("--dataset-id", type=int, default=1)
|
||||
p.add_argument("--native-scale", type=int, default=200000)
|
||||
p.add_argument("--min-lon", type=float, default=DEFAULT_BBOX[0])
|
||||
p.add_argument("--min-lat", type=float, default=DEFAULT_BBOX[1])
|
||||
p.add_argument("--max-lon", type=float, default=DEFAULT_BBOX[2])
|
||||
p.add_argument("--max-lat", type=float, default=DEFAULT_BBOX[3])
|
||||
p.add_argument(
|
||||
"--radius-m",
|
||||
type=float,
|
||||
default=800.0,
|
||||
help="每个助航对象保存的文字候选搜索半径",
|
||||
)
|
||||
p.add_argument(
|
||||
"--candidate-limit",
|
||||
type=int,
|
||||
default=12,
|
||||
)
|
||||
p.add_argument("--output-dir", default=".")
|
||||
return p.parse_args()
|
||||
|
||||
|
||||
def json_dict(value: Any) -> dict[str, Any]:
|
||||
if value is None:
|
||||
return {}
|
||||
if isinstance(value, dict):
|
||||
return value
|
||||
if isinstance(value, (bytes, bytearray, memoryview)):
|
||||
value = bytes(value).decode("utf-8", "replace")
|
||||
try:
|
||||
obj = json.loads(value)
|
||||
except Exception:
|
||||
return {}
|
||||
return obj if isinstance(obj, dict) else {}
|
||||
|
||||
|
||||
def relation20(attrs: dict[str, Any]):
|
||||
value = attrs.get("_cm93_relation20_raw")
|
||||
if value is None:
|
||||
return None
|
||||
try:
|
||||
return int(value)
|
||||
except Exception:
|
||||
return str(value)
|
||||
|
||||
|
||||
def texta(attrs: dict[str, Any]):
|
||||
value = attrs.get("_texta")
|
||||
if not isinstance(value, dict):
|
||||
return None, None
|
||||
text = value.get("text")
|
||||
prefix = value.get("prefix")
|
||||
if text is None:
|
||||
return None, prefix
|
||||
text = str(text).strip()
|
||||
return (text or None), prefix
|
||||
|
||||
|
||||
def direct_names(attrs: dict[str, Any]):
|
||||
out = []
|
||||
for key in DIRECT_NAME_KEYS:
|
||||
value = attrs.get(key)
|
||||
if isinstance(value, str) and value.strip():
|
||||
out.append({
|
||||
"field": key,
|
||||
"text": value.strip(),
|
||||
})
|
||||
return out
|
||||
|
||||
|
||||
def haversine_m(lon1, lat1, lon2, lat2):
|
||||
r = 6371008.8
|
||||
p1 = math.radians(lat1)
|
||||
p2 = math.radians(lat2)
|
||||
dp = p2 - p1
|
||||
dl = math.radians(lon2 - lon1)
|
||||
a = (
|
||||
math.sin(dp / 2) ** 2
|
||||
+ math.cos(p1) * math.cos(p2)
|
||||
* math.sin(dl / 2) ** 2
|
||||
)
|
||||
return 2 * r * math.asin(min(1.0, math.sqrt(a)))
|
||||
|
||||
|
||||
def write_csv(path: Path, rows):
|
||||
rows = list(rows)
|
||||
fields = [
|
||||
"cell_id",
|
||||
"source_relative_path",
|
||||
"native_scale",
|
||||
"relation20",
|
||||
"lon",
|
||||
"lat",
|
||||
"component_classes",
|
||||
"component_source_record_indices",
|
||||
"direct_names",
|
||||
"nearest_same_cell_text",
|
||||
"nearest_same_cell_distance_m",
|
||||
"nearest_any_cell_text",
|
||||
"nearest_any_cell_distance_m",
|
||||
"same_cell_candidate_count",
|
||||
"all_candidate_count",
|
||||
"candidate_summary",
|
||||
]
|
||||
with path.open("w", encoding="utf-8-sig", newline="") as f:
|
||||
w = csv.DictWriter(f, fieldnames=fields)
|
||||
w.writeheader()
|
||||
for row in rows:
|
||||
out = dict(row)
|
||||
for key in (
|
||||
"component_classes",
|
||||
"component_source_record_indices",
|
||||
"direct_names",
|
||||
"candidate_summary",
|
||||
):
|
||||
out[key] = json.dumps(
|
||||
out.get(key),
|
||||
ensure_ascii=False,
|
||||
separators=(",", ":"),
|
||||
)
|
||||
w.writerow(out)
|
||||
|
||||
|
||||
def main():
|
||||
a = parse_args()
|
||||
if a.password is None:
|
||||
a.password = getpass.getpass("MySQL password: ")
|
||||
|
||||
outdir = Path(a.output_dir).resolve()
|
||||
outdir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
conn = pymysql.connect(
|
||||
host=a.host,
|
||||
port=a.port,
|
||||
user=a.user,
|
||||
password=a.password,
|
||||
database=a.database,
|
||||
charset="utf8mb4",
|
||||
cursorclass=DictCursor,
|
||||
autocommit=False,
|
||||
connect_timeout=20,
|
||||
read_timeout=900,
|
||||
)
|
||||
|
||||
nav_rows = []
|
||||
text_rows = []
|
||||
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
try:
|
||||
cur.execute("SET SESSION TRANSACTION READ ONLY")
|
||||
except Exception:
|
||||
pass
|
||||
try:
|
||||
cur.execute("START TRANSACTION READ ONLY")
|
||||
except Exception:
|
||||
cur.execute("START TRANSACTION")
|
||||
|
||||
placeholders = ",".join(["%s"] * len(NAV_CLASSES))
|
||||
cur.execute(
|
||||
f"""
|
||||
SELECT
|
||||
f.id AS feature_id,
|
||||
f.cell_id,
|
||||
c.source_relative_path,
|
||||
f.source_record_index,
|
||||
f.object_class,
|
||||
f.native_scale,
|
||||
f.bbox_min_lon AS lon,
|
||||
f.bbox_min_lat AS lat,
|
||||
f.attributes_json
|
||||
FROM chart_feature f
|
||||
JOIN chart_cell c ON c.id=f.cell_id
|
||||
WHERE f.dataset_id=%s
|
||||
AND f.native_scale=%s
|
||||
AND f.geometry_type='POINT'
|
||||
AND f.object_class IN ({placeholders})
|
||||
AND f.bbox_min_lon BETWEEN %s AND %s
|
||||
AND f.bbox_min_lat BETWEEN %s AND %s
|
||||
ORDER BY
|
||||
f.cell_id,
|
||||
f.source_record_index
|
||||
""",
|
||||
(
|
||||
a.dataset_id,
|
||||
a.native_scale,
|
||||
*sorted(NAV_CLASSES),
|
||||
a.min_lon,
|
||||
a.max_lon,
|
||||
a.min_lat,
|
||||
a.max_lat,
|
||||
),
|
||||
)
|
||||
nav_rows = list(cur.fetchall())
|
||||
|
||||
# 扩大少量边界，避免 tile 边缘的文字候选被切掉。
|
||||
lat_pad = a.radius_m / 111320.0
|
||||
mid_lat = (a.min_lat + a.max_lat) / 2.0
|
||||
lon_pad = (
|
||||
a.radius_m
|
||||
/ max(1.0, 111320.0 * math.cos(math.radians(mid_lat)))
|
||||
)
|
||||
|
||||
cur.execute(
|
||||
"""
|
||||
SELECT
|
||||
f.id AS feature_id,
|
||||
f.cell_id,
|
||||
c.source_relative_path,
|
||||
f.source_record_index,
|
||||
f.native_scale,
|
||||
f.bbox_min_lon AS lon,
|
||||
f.bbox_min_lat AS lat,
|
||||
f.attributes_json
|
||||
FROM chart_feature f
|
||||
JOIN chart_cell c ON c.id=f.cell_id
|
||||
WHERE f.dataset_id=%s
|
||||
AND f.native_scale=%s
|
||||
AND f.geometry_type='POINT'
|
||||
AND f.object_class='_texto'
|
||||
AND f.bbox_min_lon BETWEEN %s AND %s
|
||||
AND f.bbox_min_lat BETWEEN %s AND %s
|
||||
ORDER BY
|
||||
f.cell_id,
|
||||
f.source_record_index
|
||||
""",
|
||||
(
|
||||
a.dataset_id,
|
||||
a.native_scale,
|
||||
a.min_lon - lon_pad,
|
||||
a.max_lon + lon_pad,
|
||||
a.min_lat - lat_pad,
|
||||
a.max_lat + lat_pad,
|
||||
),
|
||||
)
|
||||
text_rows = list(cur.fetchall())
|
||||
|
||||
conn.rollback()
|
||||
finally:
|
||||
conn.close()
|
||||
|
||||
for row in nav_rows:
|
||||
row["attributes"] = json_dict(row.pop("attributes_json"))
|
||||
row["relation20"] = relation20(row["attributes"])
|
||||
row["lon"] = float(row["lon"])
|
||||
row["lat"] = float(row["lat"])
|
||||
|
||||
parsed_text = []
|
||||
for row in text_rows:
|
||||
attrs = json_dict(row.pop("attributes_json"))
|
||||
text, prefix = texta(attrs)
|
||||
if not text:
|
||||
continue
|
||||
parsed_text.append({
|
||||
"feature_id": int(row["feature_id"]),
|
||||
"cell_id": int(row["cell_id"]),
|
||||
"source_relative_path": str(row["source_relative_path"]),
|
||||
"source_record_index": int(row["source_record_index"]),
|
||||
"native_scale": int(row["native_scale"]),
|
||||
"lon": float(row["lon"]),
|
||||
"lat": float(row["lat"]),
|
||||
"text": text,
|
||||
"prefix": prefix,
|
||||
})
|
||||
|
||||
groups = defaultdict(list)
|
||||
standalone = []
|
||||
|
||||
for row in nav_rows:
|
||||
rel = row["relation20"]
|
||||
if rel is None:
|
||||
standalone.append([row])
|
||||
else:
|
||||
groups[(int(row["cell_id"]), rel)].append(row)
|
||||
|
||||
nav_groups = list(groups.values()) + standalone
|
||||
|
||||
results = []
|
||||
|
||||
for members in nav_groups:
|
||||
# relation20 组成员已由上一步证明同址；
|
||||
# standalone 则只有一条。
|
||||
lon = sum(m["lon"] for m in members) / len(members)
|
||||
lat = sum(m["lat"] for m in members) / len(members)
|
||||
cell_id = int(members[0]["cell_id"])
|
||||
source_path = str(members[0]["source_relative_path"])
|
||||
rel = members[0]["relation20"]
|
||||
|
||||
strong_names = []
|
||||
for m in members:
|
||||
for n in direct_names(m["attributes"]):
|
||||
strong_names.append({
|
||||
"object_class": m["object_class"],
|
||||
"source_record_index": m["source_record_index"],
|
||||
**n,
|
||||
})
|
||||
|
||||
candidates = []
|
||||
for t in parsed_text:
|
||||
distance = haversine_m(
|
||||
lon,
|
||||
lat,
|
||||
t["lon"],
|
||||
t["lat"],
|
||||
)
|
||||
if distance > a.radius_m:
|
||||
continue
|
||||
candidates.append({
|
||||
**t,
|
||||
"same_cell": t["cell_id"] == cell_id,
|
||||
"distance_m": round(distance, 2),
|
||||
})
|
||||
|
||||
candidates.sort(
|
||||
key=lambda c: (
|
||||
not c["same_cell"],
|
||||
c["distance_m"],
|
||||
c["text"],
|
||||
)
|
||||
)
|
||||
|
||||
same_cell = [
|
||||
c for c in candidates if c["same_cell"]
|
||||
]
|
||||
|
||||
nearest_same = same_cell[0] if same_cell else None
|
||||
nearest_any = (
|
||||
min(candidates, key=lambda c: c["distance_m"])
|
||||
if candidates
|
||||
else None
|
||||
)
|
||||
|
||||
results.append({
|
||||
"cell_id": cell_id,
|
||||
"source_relative_path": source_path,
|
||||
"native_scale": a.native_scale,
|
||||
"relation20": rel,
|
||||
"lon": lon,
|
||||
"lat": lat,
|
||||
"component_classes": [
|
||||
m["object_class"] for m in members
|
||||
],
|
||||
"component_source_record_indices": [
|
||||
int(m["source_record_index"]) for m in members
|
||||
],
|
||||
"direct_names": strong_names,
|
||||
"nearest_same_cell_text": (
|
||||
nearest_same["text"] if nearest_same else None
|
||||
),
|
||||
"nearest_same_cell_distance_m": (
|
||||
nearest_same["distance_m"] if nearest_same else None
|
||||
),
|
||||
"nearest_any_cell_text": (
|
||||
nearest_any["text"] if nearest_any else None
|
||||
),
|
||||
"nearest_any_cell_distance_m": (
|
||||
nearest_any["distance_m"] if nearest_any else None
|
||||
),
|
||||
"same_cell_candidate_count": len(same_cell),
|
||||
"all_candidate_count": len(candidates),
|
||||
"candidate_summary": candidates[: a.candidate_limit],
|
||||
})
|
||||
|
||||
results.sort(
|
||||
key=lambda r: (
|
||||
r["cell_id"],
|
||||
-1 if r["relation20"] is None else r["relation20"],
|
||||
r["lon"],
|
||||
r["lat"],
|
||||
)
|
||||
)
|
||||
|
||||
direct_named = sum(
|
||||
1 for r in results if r["direct_names"]
|
||||
)
|
||||
same_100 = sum(
|
||||
1
|
||||
for r in results
|
||||
if r["nearest_same_cell_distance_m"] is not None
|
||||
and r["nearest_same_cell_distance_m"] <= 100.0
|
||||
)
|
||||
same_250 = sum(
|
||||
1
|
||||
for r in results
|
||||
if r["nearest_same_cell_distance_m"] is not None
|
||||
and r["nearest_same_cell_distance_m"] <= 250.0
|
||||
)
|
||||
|
||||
report = {
|
||||
"schema": "navsea.cm95.nav-name-candidate-audit/v1",
|
||||
"generated_at": datetime.now().isoformat(timespec="seconds"),
|
||||
"dataset_id": a.dataset_id,
|
||||
"native_scale": a.native_scale,
|
||||
"aoi_bbox": [
|
||||
a.min_lon,
|
||||
a.min_lat,
|
||||
a.max_lon,
|
||||
a.max_lat,
|
||||
],
|
||||
"search_radius_m": a.radius_m,
|
||||
"counts": {
|
||||
"nav_component_rows": len(nav_rows),
|
||||
"nav_groups": len(results),
|
||||
"texto_rows_with_text": len(parsed_text),
|
||||
"groups_with_direct_OBJNAM_or_NOBJNM": direct_named,
|
||||
"groups_with_same_cell_text_within_100m": same_100,
|
||||
"groups_with_same_cell_text_within_250m": same_250,
|
||||
},
|
||||
"groups": results,
|
||||
"decision": (
|
||||
"DATA_READY_FOR_NAME_ASSOCIATION_REVIEW"
|
||||
if results
|
||||
else "NO_NAV_GROUPS"
|
||||
),
|
||||
}
|
||||
|
||||
json_path = outdir / "cm95_nav_name_candidates_v1.json"
|
||||
csv_path = outdir / "cm95_nav_name_candidates_v1.csv"
|
||||
txt_path = outdir / "cm95_nav_name_candidates_v1.txt"
|
||||
|
||||
json_path.write_text(
|
||||
json.dumps(
|
||||
report,
|
||||
ensure_ascii=False,
|
||||
indent=2,
|
||||
default=str,
|
||||
),
|
||||
encoding="utf-8",
|
||||
)
|
||||
write_csv(csv_path, results)
|
||||
|
||||
lines = [
|
||||
"CM95 / CM93 助航名称候选审计 v1",
|
||||
"=" * 76,
|
||||
f"Native scale : {a.native_scale}",
|
||||
f"Nav component rows : {len(nav_rows)}",
|
||||
f"Nav groups : {len(results)}",
|
||||
f"_texto rows with text : {len(parsed_text)}",
|
||||
f"Groups with direct OBJNAM/NOBJNM : {direct_named}",
|
||||
f"Same-cell text <=100m : {same_100}",
|
||||
f"Same-cell text <=250m : {same_250}",
|
||||
"",
|
||||
"注意：最近文字只是候选，不代表自动确定为助航名称。",
|
||||
"下一步由映射审计决定哪些关系可安全写入 chart_label_text。",
|
||||
]
|
||||
txt_path.write_text("\n".join(lines), encoding="utf-8")
|
||||
|
||||
print("\n".join(lines))
|
||||
print("")
|
||||
print(json_path)
|
||||
print(csv_path)
|
||||
print(txt_path)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
285
tools/cm95_nav_name_conflict_audit_v1.py
Normal file
285
tools/cm95_nav_name_conflict_audit_v1.py
Normal file
@@ -0,0 +1,285 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import csv
|
||||
import json
|
||||
from collections import Counter, defaultdict
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
|
||||
def parse_args() -> argparse.Namespace:
|
||||
p = argparse.ArgumentParser(
|
||||
description="Audit CM95 navigation composite name conflicts from production trace reports."
|
||||
)
|
||||
p.add_argument("--release-dir", required=True, type=Path)
|
||||
p.add_argument(
|
||||
"--profile",
|
||||
default="delivery",
|
||||
choices=["delivery", "engineering"],
|
||||
)
|
||||
p.add_argument("--output-json", required=True, type=Path)
|
||||
p.add_argument("--output-csv", required=True, type=Path)
|
||||
return p.parse_args()
|
||||
|
||||
|
||||
def tile_from_trace_path(trace_path: Path, trace_root: Path) -> str:
|
||||
rel = trace_path.relative_to(trace_root)
|
||||
parts = rel.parts
|
||||
if len(parts) < 3:
|
||||
return rel.as_posix()
|
||||
z, x, y_name = parts[-3], parts[-2], parts[-1]
|
||||
y = y_name.replace(".trace.jsonl", "")
|
||||
return f"{z}/{x}/{y}"
|
||||
|
||||
|
||||
def read_jsonl(path: Path):
|
||||
with path.open("r", encoding="utf-8") as f:
|
||||
for line_no, raw in enumerate(f, 1):
|
||||
raw = raw.strip()
|
||||
if not raw:
|
||||
continue
|
||||
try:
|
||||
obj = json.loads(raw)
|
||||
except json.JSONDecodeError as exc:
|
||||
raise RuntimeError(f"{path}:{line_no}: invalid JSON: {exc}") from exc
|
||||
if isinstance(obj, dict):
|
||||
yield obj
|
||||
|
||||
|
||||
def main() -> int:
|
||||
args = parse_args()
|
||||
release_dir = args.release_dir.resolve()
|
||||
report_root = release_dir / "reports" / args.profile
|
||||
|
||||
if not report_root.exists():
|
||||
raise SystemExit(f"report root not found: {report_root}")
|
||||
|
||||
trace_files = sorted(report_root.rglob("*.trace.jsonl"))
|
||||
report_files = sorted(
|
||||
p for p in report_root.rglob("*.json")
|
||||
if not p.name.endswith(".trace.json")
|
||||
)
|
||||
|
||||
report_conflict_occurrences = 0
|
||||
for path in report_files:
|
||||
try:
|
||||
obj = json.loads(path.read_text(encoding="utf-8"))
|
||||
except Exception:
|
||||
continue
|
||||
report_conflict_occurrences += int(
|
||||
(obj.get("navigation_composites") or {}).get("name_conflict_groups") or 0
|
||||
)
|
||||
|
||||
raw_conflicts: list[dict[str, Any]] = []
|
||||
|
||||
for trace_path in trace_files:
|
||||
tile = tile_from_trace_path(trace_path, report_root)
|
||||
z = int(tile.split("/", 1)[0]) if "/" in tile else None
|
||||
|
||||
for row in read_jsonl(trace_path):
|
||||
if row.get("nav_name_conflict") is not True:
|
||||
continue
|
||||
|
||||
candidates = [
|
||||
str(v) for v in (row.get("nav_name_candidates") or [])
|
||||
if v is not None and str(v) != ""
|
||||
]
|
||||
components = [
|
||||
str(v) for v in (row.get("source_component_ids") or [])
|
||||
if v is not None
|
||||
]
|
||||
|
||||
raw_conflicts.append(
|
||||
{
|
||||
"tile": tile,
|
||||
"zoom": z,
|
||||
"output_id": row.get("output_id"),
|
||||
"output_layer": row.get("output_layer"),
|
||||
"source_id": row.get("source_id"),
|
||||
"relation20": row.get("relation20"),
|
||||
"native_scale": row.get("native_scale"),
|
||||
"mapping_rule_id": row.get("mapping_rule_id"),
|
||||
"mapping_status": row.get("mapping_status"),
|
||||
"nav_name_source": row.get("nav_name_source"),
|
||||
"nav_name_candidates": candidates,
|
||||
"source_component_ids": components,
|
||||
"trace_path": str(trace_path.relative_to(release_dir)).replace("\\", "/"),
|
||||
}
|
||||
)
|
||||
|
||||
unique: dict[str, dict[str, Any]] = {}
|
||||
|
||||
for item in raw_conflicts:
|
||||
output_id = item.get("output_id")
|
||||
if output_id is not None:
|
||||
key = f"output_id:{output_id}"
|
||||
else:
|
||||
key = json.dumps(
|
||||
{
|
||||
"source_id": item.get("source_id"),
|
||||
"relation20": item.get("relation20"),
|
||||
"native_scale": item.get("native_scale"),
|
||||
"components": sorted(item.get("source_component_ids") or []),
|
||||
},
|
||||
sort_keys=True,
|
||||
ensure_ascii=False,
|
||||
)
|
||||
|
||||
if key not in unique:
|
||||
unique[key] = {
|
||||
"key": key,
|
||||
"output_id": item.get("output_id"),
|
||||
"output_layer": item.get("output_layer"),
|
||||
"source_id": item.get("source_id"),
|
||||
"relation20": item.get("relation20"),
|
||||
"native_scale": item.get("native_scale"),
|
||||
"mapping_rule_id": item.get("mapping_rule_id"),
|
||||
"mapping_status": item.get("mapping_status"),
|
||||
"nav_name_candidates": list(item.get("nav_name_candidates") or []),
|
||||
"source_component_ids": list(item.get("source_component_ids") or []),
|
||||
"occurrences": 0,
|
||||
"tiles": [],
|
||||
"zooms": [],
|
||||
"trace_paths": [],
|
||||
}
|
||||
|
||||
u = unique[key]
|
||||
u["occurrences"] += 1
|
||||
|
||||
tile = item["tile"]
|
||||
if tile not in u["tiles"]:
|
||||
u["tiles"].append(tile)
|
||||
|
||||
z = item.get("zoom")
|
||||
if z is not None and z not in u["zooms"]:
|
||||
u["zooms"].append(z)
|
||||
|
||||
tpath = item["trace_path"]
|
||||
if tpath not in u["trace_paths"]:
|
||||
u["trace_paths"].append(tpath)
|
||||
|
||||
# Preserve any candidates/components that differ across repeated tile occurrences.
|
||||
for candidate in item.get("nav_name_candidates") or []:
|
||||
if candidate not in u["nav_name_candidates"]:
|
||||
u["nav_name_candidates"].append(candidate)
|
||||
for component in item.get("source_component_ids") or []:
|
||||
if component not in u["source_component_ids"]:
|
||||
u["source_component_ids"].append(component)
|
||||
|
||||
unique_rows = list(unique.values())
|
||||
|
||||
for row in unique_rows:
|
||||
row["tiles"].sort()
|
||||
row["zooms"].sort()
|
||||
row["trace_paths"].sort()
|
||||
|
||||
unique_rows.sort(
|
||||
key=lambda r: (
|
||||
-(int(r.get("occurrences") or 0)),
|
||||
int(r.get("native_scale") or 0),
|
||||
str(r.get("source_id") or ""),
|
||||
)
|
||||
)
|
||||
|
||||
zoom_occurrences = Counter(
|
||||
int(x["zoom"]) for x in raw_conflicts if x.get("zoom") is not None
|
||||
)
|
||||
scale_unique = Counter(
|
||||
int(x["native_scale"]) for x in unique_rows if x.get("native_scale") is not None
|
||||
)
|
||||
candidate_count_unique = Counter(
|
||||
len(x.get("nav_name_candidates") or []) for x in unique_rows
|
||||
)
|
||||
|
||||
tile_set = {x["tile"] for x in raw_conflicts}
|
||||
|
||||
result = {
|
||||
"schema": "navsea.cm95.nav-name-conflict-audit/v1",
|
||||
"release_dir": str(release_dir),
|
||||
"profile": args.profile,
|
||||
"trace_file_count": len(trace_files),
|
||||
"report_file_count": len(report_files),
|
||||
"report_name_conflict_occurrences": report_conflict_occurrences,
|
||||
"trace_name_conflict_occurrences": len(raw_conflicts),
|
||||
"unique_conflict_outputs": len(unique_rows),
|
||||
"affected_tiles": len(tile_set),
|
||||
"occurrences_by_zoom": dict(sorted(zoom_occurrences.items())),
|
||||
"unique_conflicts_by_native_scale": dict(sorted(scale_unique.items())),
|
||||
"unique_conflicts_by_candidate_count": dict(sorted(candidate_count_unique.items())),
|
||||
"unique_conflicts": unique_rows,
|
||||
}
|
||||
|
||||
args.output_json.parent.mkdir(parents=True, exist_ok=True)
|
||||
args.output_json.write_text(
|
||||
json.dumps(result, ensure_ascii=False, indent=2),
|
||||
encoding="utf-8",
|
||||
)
|
||||
|
||||
args.output_csv.parent.mkdir(parents=True, exist_ok=True)
|
||||
with args.output_csv.open("w", encoding="utf-8-sig", newline="") as f:
|
||||
writer = csv.DictWriter(
|
||||
f,
|
||||
fieldnames=[
|
||||
"output_id",
|
||||
"source_id",
|
||||
"relation20",
|
||||
"native_scale",
|
||||
"occurrences",
|
||||
"tile_count",
|
||||
"zooms",
|
||||
"nav_name_candidates",
|
||||
"source_component_ids",
|
||||
"mapping_rule_id",
|
||||
"mapping_status",
|
||||
],
|
||||
)
|
||||
writer.writeheader()
|
||||
for row in unique_rows:
|
||||
writer.writerow(
|
||||
{
|
||||
"output_id": row.get("output_id"),
|
||||
"source_id": row.get("source_id"),
|
||||
"relation20": row.get("relation20"),
|
||||
"native_scale": row.get("native_scale"),
|
||||
"occurrences": row.get("occurrences"),
|
||||
"tile_count": len(row.get("tiles") or []),
|
||||
"zooms": "|".join(str(v) for v in row.get("zooms") or []),
|
||||
"nav_name_candidates": " | ".join(row.get("nav_name_candidates") or []),
|
||||
"source_component_ids": " | ".join(row.get("source_component_ids") or []),
|
||||
"mapping_rule_id": row.get("mapping_rule_id"),
|
||||
"mapping_status": row.get("mapping_status"),
|
||||
}
|
||||
)
|
||||
|
||||
print("CM95 navigation name conflict audit")
|
||||
print("=" * 72)
|
||||
print(f"Release : {release_dir}")
|
||||
print(f"Report conflict occurrences : {report_conflict_occurrences}")
|
||||
print(f"Trace conflict occurrences : {len(raw_conflicts)}")
|
||||
print(f"Unique conflict outputs : {len(unique_rows)}")
|
||||
print(f"Affected tiles : {len(tile_set)}")
|
||||
print(f"JSON : {args.output_json}")
|
||||
print(f"CSV : {args.output_csv}")
|
||||
|
||||
if report_conflict_occurrences != len(raw_conflicts):
|
||||
print("")
|
||||
print("WARNING: report count and trace count differ; inspect reports before changing policy.")
|
||||
|
||||
print("")
|
||||
print("Top unique conflicts:")
|
||||
for row in unique_rows[:20]:
|
||||
print(
|
||||
f" output_id={row.get('output_id')} "
|
||||
f"scale={row.get('native_scale')} "
|
||||
f"occ={row.get('occurrences')} "
|
||||
f"tiles={len(row.get('tiles') or [])} "
|
||||
f"relation20={row.get('relation20')} "
|
||||
f"names={row.get('nav_name_candidates')}"
|
||||
)
|
||||
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
716
tools/cm95_nav_name_multiscale_audit_v2.py
Normal file
716
tools/cm95_nav_name_multiscale_audit_v2.py
Normal file
@@ -0,0 +1,716 @@
|
||||
#!/usr/bin/env python3
|
||||
# -*- coding: utf-8 -*-
|
||||
r"""
|
||||
CM95 / CM93 助航名称多尺度与显式关系审计 v2
|
||||
|
||||
目标
|
||||
====
|
||||
确认 CM95 自身是否存在可安全写入 NavSea
|
||||
`navigation_marks.chart_label_text` 的名称来源。
|
||||
|
||||
重点：
|
||||
1. 同时检查 1:20,000 / 1:50,000 / 1:200,000；
|
||||
2. 优先检查助航对象和 `_texto` 中的显式关系/索引字段；
|
||||
3. 再检查同 Cell 最近文字；
|
||||
4. 不自动把最近文字当名称；
|
||||
5. 不读取或反灌 NEWPEC/reference PBF 名称；
|
||||
6. 只读 MySQL，不修改 importer/schema。
|
||||
|
||||
默认 AOI：
|
||||
z10/914/385
|
||||
lon 141.328125 .. 141.6796875
|
||||
lat 40.44694705960049 .. 40.71395582628604
|
||||
|
||||
输出：
|
||||
- cm95_nav_name_multiscale_audit_v2.json
|
||||
- cm95_nav_name_multiscale_groups_v2.csv
|
||||
- cm95_nav_text_relation_fields_v2.csv
|
||||
- cm95_nav_name_multiscale_audit_v2.txt
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import csv
|
||||
import getpass
|
||||
import json
|
||||
import math
|
||||
from collections import Counter, defaultdict
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
import pymysql
|
||||
from pymysql.cursors import DictCursor
|
||||
|
||||
|
||||
NAV_CLASSES = {
|
||||
"LIGHTS",
|
||||
"BCNLAT",
|
||||
"BCNSPP",
|
||||
"BOYSPP",
|
||||
"RTPBCN",
|
||||
"TOWERS",
|
||||
"_extgn",
|
||||
"SISTAT",
|
||||
"SISTAW",
|
||||
}
|
||||
|
||||
DEFAULT_SCALES = (20000, 50000, 200000)
|
||||
DIRECT_NAME_KEYS = ("OBJNAM", "NOBJNM")
|
||||
|
||||
RELATION_KEY_HINTS = (
|
||||
"relation",
|
||||
"related",
|
||||
"index",
|
||||
"record",
|
||||
"assoc",
|
||||
"link",
|
||||
"ref",
|
||||
"cm93",
|
||||
)
|
||||
|
||||
DEFAULT_BBOX = (
|
||||
141.328125,
|
||||
40.44694705960049,
|
||||
141.6796875,
|
||||
40.71395582628604,
|
||||
)
|
||||
|
||||
|
||||
def parse_args():
|
||||
p = argparse.ArgumentParser()
|
||||
p.add_argument("--host", default="127.0.0.1")
|
||||
p.add_argument("--port", type=int, default=3306)
|
||||
p.add_argument("--user", default="root")
|
||||
p.add_argument("--password", default=None)
|
||||
p.add_argument("--database", default="cm93_chart")
|
||||
p.add_argument("--dataset-id", type=int, default=1)
|
||||
p.add_argument(
|
||||
"--scales",
|
||||
default="20000,50000,200000",
|
||||
help="逗号分隔，例如 20000,50000,200000",
|
||||
)
|
||||
p.add_argument("--min-lon", type=float, default=DEFAULT_BBOX[0])
|
||||
p.add_argument("--min-lat", type=float, default=DEFAULT_BBOX[1])
|
||||
p.add_argument("--max-lon", type=float, default=DEFAULT_BBOX[2])
|
||||
p.add_argument("--max-lat", type=float, default=DEFAULT_BBOX[3])
|
||||
p.add_argument("--radius-m", type=float, default=800.0)
|
||||
p.add_argument("--candidate-limit", type=int, default=12)
|
||||
p.add_argument("--output-dir", default=".")
|
||||
return p.parse_args()
|
||||
|
||||
|
||||
def json_dict(value: Any) -> dict[str, Any]:
|
||||
if value is None:
|
||||
return {}
|
||||
if isinstance(value, dict):
|
||||
return value
|
||||
if isinstance(value, (bytes, bytearray, memoryview)):
|
||||
value = bytes(value).decode("utf-8", "replace")
|
||||
try:
|
||||
obj = json.loads(value)
|
||||
except Exception:
|
||||
return {}
|
||||
return obj if isinstance(obj, dict) else {}
|
||||
|
||||
|
||||
def relation20(attrs: dict[str, Any]):
|
||||
value = attrs.get("_cm93_relation20_raw")
|
||||
if value is None:
|
||||
return None
|
||||
try:
|
||||
return int(value)
|
||||
except Exception:
|
||||
return str(value)
|
||||
|
||||
|
||||
def texta(attrs: dict[str, Any]):
|
||||
value = attrs.get("_texta")
|
||||
if not isinstance(value, dict):
|
||||
return None, None
|
||||
text = value.get("text")
|
||||
prefix = value.get("prefix")
|
||||
if text is None:
|
||||
return None, prefix
|
||||
text = str(text).strip()
|
||||
return (text or None), prefix
|
||||
|
||||
|
||||
def direct_names(attrs: dict[str, Any]):
|
||||
out = []
|
||||
for key in DIRECT_NAME_KEYS:
|
||||
value = attrs.get(key)
|
||||
if isinstance(value, str) and value.strip():
|
||||
out.append({"field": key, "text": value.strip()})
|
||||
return out
|
||||
|
||||
|
||||
def relation_like_fields(attrs: dict[str, Any]):
|
||||
out = {}
|
||||
for key, value in attrs.items():
|
||||
lk = str(key).lower()
|
||||
if any(h in lk for h in RELATION_KEY_HINTS):
|
||||
out[key] = value
|
||||
return out
|
||||
|
||||
|
||||
def haversine_m(lon1, lat1, lon2, lat2):
|
||||
r = 6371008.8
|
||||
p1 = math.radians(lat1)
|
||||
p2 = math.radians(lat2)
|
||||
dp = p2 - p1
|
||||
dl = math.radians(lon2 - lon1)
|
||||
a = (
|
||||
math.sin(dp / 2) ** 2
|
||||
+ math.cos(p1) * math.cos(p2)
|
||||
* math.sin(dl / 2) ** 2
|
||||
)
|
||||
return 2 * r * math.asin(min(1.0, math.sqrt(a)))
|
||||
|
||||
|
||||
def flatten_relation_values(obj: Any):
|
||||
"""用于审计，不解释语义。把标量/list/dict转成可比较字符串集合。"""
|
||||
values = set()
|
||||
|
||||
def walk(v):
|
||||
if v is None:
|
||||
return
|
||||
if isinstance(v, dict):
|
||||
for kk, vv in v.items():
|
||||
values.add(f"{kk}={json.dumps(vv, ensure_ascii=False, sort_keys=True, default=str)}")
|
||||
walk(vv)
|
||||
elif isinstance(v, list):
|
||||
for item in v:
|
||||
walk(item)
|
||||
else:
|
||||
values.add(str(v))
|
||||
|
||||
walk(obj)
|
||||
return values
|
||||
|
||||
|
||||
def write_csv(path: Path, rows, fields):
|
||||
with path.open("w", encoding="utf-8-sig", newline="") as f:
|
||||
w = csv.DictWriter(f, fieldnames=fields)
|
||||
w.writeheader()
|
||||
for row in rows:
|
||||
out = {}
|
||||
for field in fields:
|
||||
value = row.get(field)
|
||||
if isinstance(value, (dict, list, tuple)):
|
||||
value = json.dumps(
|
||||
value,
|
||||
ensure_ascii=False,
|
||||
separators=(",", ":"),
|
||||
default=str,
|
||||
)
|
||||
out[field] = value
|
||||
w.writerow(out)
|
||||
|
||||
|
||||
def main():
|
||||
a = parse_args()
|
||||
scales = tuple(
|
||||
sorted(
|
||||
{
|
||||
int(x.strip())
|
||||
for x in a.scales.split(",")
|
||||
if x.strip()
|
||||
}
|
||||
)
|
||||
)
|
||||
if not scales:
|
||||
raise SystemExit("scales 不能为空")
|
||||
|
||||
if a.password is None:
|
||||
a.password = getpass.getpass("MySQL password: ")
|
||||
|
||||
outdir = Path(a.output_dir).resolve()
|
||||
outdir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
conn = pymysql.connect(
|
||||
host=a.host,
|
||||
port=a.port,
|
||||
user=a.user,
|
||||
password=a.password,
|
||||
database=a.database,
|
||||
charset="utf8mb4",
|
||||
cursorclass=DictCursor,
|
||||
autocommit=False,
|
||||
connect_timeout=20,
|
||||
read_timeout=900,
|
||||
)
|
||||
|
||||
nav_rows = []
|
||||
text_rows = []
|
||||
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
try:
|
||||
cur.execute("SET SESSION TRANSACTION READ ONLY")
|
||||
except Exception:
|
||||
pass
|
||||
try:
|
||||
cur.execute("START TRANSACTION READ ONLY")
|
||||
except Exception:
|
||||
cur.execute("START TRANSACTION")
|
||||
|
||||
nav_ph = ",".join(["%s"] * len(NAV_CLASSES))
|
||||
scale_ph = ",".join(["%s"] * len(scales))
|
||||
|
||||
cur.execute(
|
||||
f"""
|
||||
SELECT
|
||||
f.id AS feature_id,
|
||||
f.cell_id,
|
||||
c.source_relative_path,
|
||||
f.source_record_index,
|
||||
f.object_class,
|
||||
f.native_scale,
|
||||
f.bbox_min_lon AS lon,
|
||||
f.bbox_min_lat AS lat,
|
||||
f.attributes_json
|
||||
FROM chart_feature f
|
||||
JOIN chart_cell c ON c.id=f.cell_id
|
||||
WHERE f.dataset_id=%s
|
||||
AND f.native_scale IN ({scale_ph})
|
||||
AND f.geometry_type='POINT'
|
||||
AND f.object_class IN ({nav_ph})
|
||||
AND f.bbox_min_lon BETWEEN %s AND %s
|
||||
AND f.bbox_min_lat BETWEEN %s AND %s
|
||||
ORDER BY
|
||||
f.native_scale,
|
||||
f.cell_id,
|
||||
f.source_record_index
|
||||
""",
|
||||
(
|
||||
a.dataset_id,
|
||||
*scales,
|
||||
*sorted(NAV_CLASSES),
|
||||
a.min_lon,
|
||||
a.max_lon,
|
||||
a.min_lat,
|
||||
a.max_lat,
|
||||
),
|
||||
)
|
||||
nav_rows = list(cur.fetchall())
|
||||
|
||||
lat_pad = a.radius_m / 111320.0
|
||||
mid_lat = (a.min_lat + a.max_lat) / 2.0
|
||||
lon_pad = (
|
||||
a.radius_m
|
||||
/ max(
|
||||
1.0,
|
||||
111320.0 * math.cos(math.radians(mid_lat)),
|
||||
)
|
||||
)
|
||||
|
||||
cur.execute(
|
||||
f"""
|
||||
SELECT
|
||||
f.id AS feature_id,
|
||||
f.cell_id,
|
||||
c.source_relative_path,
|
||||
f.source_record_index,
|
||||
f.object_class,
|
||||
f.native_scale,
|
||||
f.bbox_min_lon AS lon,
|
||||
f.bbox_min_lat AS lat,
|
||||
f.attributes_json
|
||||
FROM chart_feature f
|
||||
JOIN chart_cell c ON c.id=f.cell_id
|
||||
WHERE f.dataset_id=%s
|
||||
AND f.native_scale IN ({scale_ph})
|
||||
AND f.geometry_type='POINT'
|
||||
AND f.object_class='_texto'
|
||||
AND f.bbox_min_lon BETWEEN %s AND %s
|
||||
AND f.bbox_min_lat BETWEEN %s AND %s
|
||||
ORDER BY
|
||||
f.native_scale,
|
||||
f.cell_id,
|
||||
f.source_record_index
|
||||
""",
|
||||
(
|
||||
a.dataset_id,
|
||||
*scales,
|
||||
a.min_lon - lon_pad,
|
||||
a.max_lon + lon_pad,
|
||||
a.min_lat - lat_pad,
|
||||
a.max_lat + lat_pad,
|
||||
),
|
||||
)
|
||||
text_rows = list(cur.fetchall())
|
||||
|
||||
conn.rollback()
|
||||
finally:
|
||||
conn.close()
|
||||
|
||||
parsed_nav = []
|
||||
for row in nav_rows:
|
||||
attrs = json_dict(row.pop("attributes_json"))
|
||||
parsed_nav.append(
|
||||
{
|
||||
**row,
|
||||
"feature_id": int(row["feature_id"]),
|
||||
"cell_id": int(row["cell_id"]),
|
||||
"source_record_index": int(row["source_record_index"]),
|
||||
"native_scale": int(row["native_scale"]),
|
||||
"lon": float(row["lon"]),
|
||||
"lat": float(row["lat"]),
|
||||
"attributes": attrs,
|
||||
"relation20": relation20(attrs),
|
||||
"direct_names": direct_names(attrs),
|
||||
"relation_fields": relation_like_fields(attrs),
|
||||
}
|
||||
)
|
||||
|
||||
parsed_text = []
|
||||
relation_field_counter = Counter()
|
||||
|
||||
for row in text_rows:
|
||||
attrs = json_dict(row.pop("attributes_json"))
|
||||
text, prefix = texta(attrs)
|
||||
rel_fields = relation_like_fields(attrs)
|
||||
for key in rel_fields:
|
||||
relation_field_counter[
|
||||
(int(row["native_scale"]), str(key))
|
||||
] += 1
|
||||
|
||||
parsed_text.append(
|
||||
{
|
||||
**row,
|
||||
"feature_id": int(row["feature_id"]),
|
||||
"cell_id": int(row["cell_id"]),
|
||||
"source_record_index": int(row["source_record_index"]),
|
||||
"native_scale": int(row["native_scale"]),
|
||||
"lon": float(row["lon"]),
|
||||
"lat": float(row["lat"]),
|
||||
"text": text,
|
||||
"prefix": prefix,
|
||||
"attributes": attrs,
|
||||
"relation_fields": rel_fields,
|
||||
"relation_values": sorted(
|
||||
flatten_relation_values(rel_fields)
|
||||
),
|
||||
}
|
||||
)
|
||||
|
||||
# relation20 仅在同 cell + 同 scale 内组成助航主组。
|
||||
grouped = defaultdict(list)
|
||||
standalone = []
|
||||
|
||||
for row in parsed_nav:
|
||||
rel = row["relation20"]
|
||||
if rel is None:
|
||||
standalone.append([row])
|
||||
else:
|
||||
grouped[
|
||||
(
|
||||
row["native_scale"],
|
||||
row["cell_id"],
|
||||
rel,
|
||||
)
|
||||
].append(row)
|
||||
|
||||
nav_groups = list(grouped.values()) + standalone
|
||||
|
||||
results = []
|
||||
per_scale = {}
|
||||
|
||||
for members in nav_groups:
|
||||
scale = members[0]["native_scale"]
|
||||
cell_id = members[0]["cell_id"]
|
||||
rel = members[0]["relation20"]
|
||||
lon = sum(m["lon"] for m in members) / len(members)
|
||||
lat = sum(m["lat"] for m in members) / len(members)
|
||||
|
||||
direct = []
|
||||
nav_relation_values = set()
|
||||
for m in members:
|
||||
for n in m["direct_names"]:
|
||||
direct.append(
|
||||
{
|
||||
"object_class": m["object_class"],
|
||||
"source_record_index": m["source_record_index"],
|
||||
**n,
|
||||
}
|
||||
)
|
||||
nav_relation_values |= flatten_relation_values(
|
||||
m["relation_fields"]
|
||||
)
|
||||
|
||||
candidates = []
|
||||
|
||||
# 同比例尺；显式关系优先，同 cell 次之，距离只作证据。
|
||||
for t in parsed_text:
|
||||
if t["native_scale"] != scale or not t["text"]:
|
||||
continue
|
||||
|
||||
distance = haversine_m(
|
||||
lon,
|
||||
lat,
|
||||
t["lon"],
|
||||
t["lat"],
|
||||
)
|
||||
|
||||
explicit_overlap = sorted(
|
||||
nav_relation_values.intersection(
|
||||
set(t["relation_values"])
|
||||
)
|
||||
)
|
||||
|
||||
if distance <= a.radius_m or explicit_overlap:
|
||||
candidates.append(
|
||||
{
|
||||
"feature_id": t["feature_id"],
|
||||
"cell_id": t["cell_id"],
|
||||
"source_relative_path": t["source_relative_path"],
|
||||
"source_record_index": t["source_record_index"],
|
||||
"native_scale": t["native_scale"],
|
||||
"lon": t["lon"],
|
||||
"lat": t["lat"],
|
||||
"text": t["text"],
|
||||
"prefix": t["prefix"],
|
||||
"same_cell": t["cell_id"] == cell_id,
|
||||
"distance_m": round(distance, 2),
|
||||
"explicit_relation_overlap": explicit_overlap,
|
||||
"text_relation_fields": t["relation_fields"],
|
||||
}
|
||||
)
|
||||
|
||||
candidates.sort(
|
||||
key=lambda c: (
|
||||
not bool(c["explicit_relation_overlap"]),
|
||||
not c["same_cell"],
|
||||
c["distance_m"],
|
||||
c["text"],
|
||||
)
|
||||
)
|
||||
|
||||
explicit = [
|
||||
c
|
||||
for c in candidates
|
||||
if c["explicit_relation_overlap"]
|
||||
]
|
||||
same = [c for c in candidates if c["same_cell"]]
|
||||
|
||||
nearest_same = (
|
||||
min(same, key=lambda c: c["distance_m"])
|
||||
if same
|
||||
else None
|
||||
)
|
||||
|
||||
result = {
|
||||
"native_scale": scale,
|
||||
"cell_id": cell_id,
|
||||
"source_relative_path": members[0]["source_relative_path"],
|
||||
"relation20": rel,
|
||||
"lon": lon,
|
||||
"lat": lat,
|
||||
"component_classes": [
|
||||
m["object_class"] for m in members
|
||||
],
|
||||
"component_source_record_indices": [
|
||||
m["source_record_index"] for m in members
|
||||
],
|
||||
"direct_names": direct,
|
||||
"nav_relation_fields": {
|
||||
str(m["source_record_index"]): m["relation_fields"]
|
||||
for m in members
|
||||
if m["relation_fields"]
|
||||
},
|
||||
"explicit_text_candidates": explicit[
|
||||
: a.candidate_limit
|
||||
],
|
||||
"nearest_same_cell_text": (
|
||||
nearest_same["text"] if nearest_same else None
|
||||
),
|
||||
"nearest_same_cell_distance_m": (
|
||||
nearest_same["distance_m"] if nearest_same else None
|
||||
),
|
||||
"same_cell_candidate_count": len(same),
|
||||
"all_candidate_count": len(candidates),
|
||||
"candidate_summary": candidates[
|
||||
: a.candidate_limit
|
||||
],
|
||||
}
|
||||
results.append(result)
|
||||
|
||||
results.sort(
|
||||
key=lambda r: (
|
||||
r["native_scale"],
|
||||
r["cell_id"],
|
||||
-1 if r["relation20"] is None else r["relation20"],
|
||||
r["lon"],
|
||||
r["lat"],
|
||||
)
|
||||
)
|
||||
|
||||
for scale in scales:
|
||||
subset = [r for r in results if r["native_scale"] == scale]
|
||||
per_scale[str(scale)] = {
|
||||
"nav_groups": len(subset),
|
||||
"groups_with_direct_names": sum(
|
||||
1 for r in subset if r["direct_names"]
|
||||
),
|
||||
"groups_with_explicit_text_candidates": sum(
|
||||
1
|
||||
for r in subset
|
||||
if r["explicit_text_candidates"]
|
||||
),
|
||||
"groups_with_same_cell_text_within_50m": sum(
|
||||
1
|
||||
for r in subset
|
||||
if r["nearest_same_cell_distance_m"] is not None
|
||||
and r["nearest_same_cell_distance_m"] <= 50
|
||||
),
|
||||
"groups_with_same_cell_text_within_100m": sum(
|
||||
1
|
||||
for r in subset
|
||||
if r["nearest_same_cell_distance_m"] is not None
|
||||
and r["nearest_same_cell_distance_m"] <= 100
|
||||
),
|
||||
"groups_with_same_cell_text_within_250m": sum(
|
||||
1
|
||||
for r in subset
|
||||
if r["nearest_same_cell_distance_m"] is not None
|
||||
and r["nearest_same_cell_distance_m"] <= 250
|
||||
),
|
||||
}
|
||||
|
||||
relation_rows = [
|
||||
{
|
||||
"native_scale": scale,
|
||||
"field_name": field,
|
||||
"occurrence_count": count,
|
||||
}
|
||||
for (scale, field), count in sorted(
|
||||
relation_field_counter.items()
|
||||
)
|
||||
]
|
||||
|
||||
report = {
|
||||
"schema": "navsea.cm95.nav-name-multiscale-audit/v2",
|
||||
"generated_at": datetime.now().isoformat(timespec="seconds"),
|
||||
"dataset_id": a.dataset_id,
|
||||
"scales": list(scales),
|
||||
"aoi_bbox": [
|
||||
a.min_lon,
|
||||
a.min_lat,
|
||||
a.max_lon,
|
||||
a.max_lat,
|
||||
],
|
||||
"search_radius_m": a.radius_m,
|
||||
"counts": {
|
||||
"nav_component_rows": len(parsed_nav),
|
||||
"nav_groups": len(results),
|
||||
"texto_rows": len(parsed_text),
|
||||
"texto_rows_with_text": sum(
|
||||
1 for t in parsed_text if t["text"]
|
||||
),
|
||||
},
|
||||
"per_scale": per_scale,
|
||||
"text_relation_field_counts": relation_rows,
|
||||
"groups": results,
|
||||
"decision": "READY_FOR_SAFE_NAME_RULE_REVIEW",
|
||||
}
|
||||
|
||||
json_path = (
|
||||
outdir / "cm95_nav_name_multiscale_audit_v2.json"
|
||||
)
|
||||
groups_csv = (
|
||||
outdir / "cm95_nav_name_multiscale_groups_v2.csv"
|
||||
)
|
||||
rel_csv = (
|
||||
outdir / "cm95_nav_text_relation_fields_v2.csv"
|
||||
)
|
||||
txt_path = (
|
||||
outdir / "cm95_nav_name_multiscale_audit_v2.txt"
|
||||
)
|
||||
|
||||
json_path.write_text(
|
||||
json.dumps(
|
||||
report,
|
||||
ensure_ascii=False,
|
||||
indent=2,
|
||||
default=str,
|
||||
),
|
||||
encoding="utf-8",
|
||||
)
|
||||
|
||||
write_csv(
|
||||
groups_csv,
|
||||
results,
|
||||
[
|
||||
"native_scale",
|
||||
"cell_id",
|
||||
"source_relative_path",
|
||||
"relation20",
|
||||
"lon",
|
||||
"lat",
|
||||
"component_classes",
|
||||
"component_source_record_indices",
|
||||
"direct_names",
|
||||
"nav_relation_fields",
|
||||
"explicit_text_candidates",
|
||||
"nearest_same_cell_text",
|
||||
"nearest_same_cell_distance_m",
|
||||
"same_cell_candidate_count",
|
||||
"all_candidate_count",
|
||||
"candidate_summary",
|
||||
],
|
||||
)
|
||||
|
||||
write_csv(
|
||||
rel_csv,
|
||||
relation_rows,
|
||||
[
|
||||
"native_scale",
|
||||
"field_name",
|
||||
"occurrence_count",
|
||||
],
|
||||
)
|
||||
|
||||
lines = [
|
||||
"CM95 / CM93 助航名称多尺度与显式关系审计 v2",
|
||||
"=" * 82,
|
||||
f"Dataset ID : {a.dataset_id}",
|
||||
f"Scales : {','.join(map(str, scales))}",
|
||||
f"Nav component rows : {len(parsed_nav)}",
|
||||
f"Nav groups : {len(results)}",
|
||||
f"_texto rows : {len(parsed_text)}",
|
||||
"",
|
||||
]
|
||||
|
||||
for scale in scales:
|
||||
s = per_scale[str(scale)]
|
||||
lines += [
|
||||
f"1:{scale}",
|
||||
f" groups : {s['nav_groups']}",
|
||||
f" direct names : {s['groups_with_direct_names']}",
|
||||
f" explicit text relation: {s['groups_with_explicit_text_candidates']}",
|
||||
f" same-cell <= 50m : {s['groups_with_same_cell_text_within_50m']}",
|
||||
f" same-cell <= 100m : {s['groups_with_same_cell_text_within_100m']}",
|
||||
f" same-cell <= 250m : {s['groups_with_same_cell_text_within_250m']}",
|
||||
"",
|
||||
]
|
||||
|
||||
lines += [
|
||||
"注意：",
|
||||
"- 显式关系候选优先于距离候选。",
|
||||
"- 最近文字仍不会被脚本自动写入 chart_label_text。",
|
||||
"- 若 20k/50k/200k 都无安全来源，则该数据源的助航名称保持为空，不从 NEWPEC 反灌。",
|
||||
]
|
||||
txt_path.write_text("\n".join(lines), encoding="utf-8")
|
||||
|
||||
print("\n".join(lines))
|
||||
print("")
|
||||
print(json_path)
|
||||
print(groups_csv)
|
||||
print(rel_csv)
|
||||
print(txt_path)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
112
tools/cm95_pbf_build_reports_audit_v1.py
Normal file
112
tools/cm95_pbf_build_reports_audit_v1.py
Normal file
@@ -0,0 +1,112 @@
|
||||
#!/usr/bin/env python3
|
||||
# -*- coding: utf-8 -*-
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
from collections import Counter
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
def parse_args():
|
||||
p = argparse.ArgumentParser()
|
||||
p.add_argument("--report-root", default="build/pbf-reports")
|
||||
p.add_argument("--profile", choices=["delivery", "engineering"], default="delivery")
|
||||
p.add_argument("--output", default="cm95_pbf_build_reports_audit_v1.json")
|
||||
return p.parse_args()
|
||||
|
||||
|
||||
def main():
|
||||
a = parse_args()
|
||||
root = Path(a.report_root) / a.profile
|
||||
files = sorted(
|
||||
p for p in root.rglob("*.json")
|
||||
if not p.name.endswith(".trace.json")
|
||||
)
|
||||
|
||||
layer_counts = Counter()
|
||||
unmapped = Counter()
|
||||
hard_gate = []
|
||||
total_input = 0
|
||||
total_output = 0
|
||||
relation_groups = 0
|
||||
standalone_lights = 0
|
||||
named_from_direct_source = 0
|
||||
name_conflict_groups = 0
|
||||
quantization_fallbacks = 0
|
||||
quantization_omissions = 0
|
||||
quantization_omission_layers = Counter()
|
||||
encoder_dropped_features = []
|
||||
planned_output = 0
|
||||
|
||||
for p in files:
|
||||
obj = json.loads(p.read_text(encoding="utf-8"))
|
||||
total_input += int(obj.get("input_feature_count") or 0)
|
||||
total_output += int(obj.get("output_feature_count") or 0)
|
||||
planned_output += int(obj.get("planned_output_feature_count") or obj.get("output_feature_count") or 0)
|
||||
layer_counts.update(obj.get("output_layer_counts") or {})
|
||||
unmapped.update(obj.get("unmapped_class_counts") or {})
|
||||
nav = obj.get("navigation_composites") or {}
|
||||
relation_groups += int(nav.get("groups") or 0)
|
||||
standalone_lights += int(nav.get("standalone_lights") or 0)
|
||||
named_from_direct_source += int(nav.get("named_from_direct_source") or 0)
|
||||
name_conflict_groups += int(nav.get("name_conflict_groups") or 0)
|
||||
quantization_fallbacks += len(obj.get("quantization_fallbacks") or [])
|
||||
omissions = obj.get("quantization_omissions") or []
|
||||
quantization_omissions += len(omissions)
|
||||
for item in omissions:
|
||||
if isinstance(item, dict):
|
||||
quantization_omission_layers[str(item.get("layer") or "UNKNOWN")] += 1
|
||||
for item in obj.get("encoder_dropped_features") or []:
|
||||
encoder_dropped_features.append({"file": str(p), **item})
|
||||
for item in obj.get("hard_gate_unmapped") or []:
|
||||
hard_gate.append({"file": str(p), **item})
|
||||
|
||||
result = {
|
||||
"schema": "navsea.cm95.build-report-audit/v1",
|
||||
"profile": a.profile,
|
||||
"report_file_count": len(files),
|
||||
"input_rows_considered": total_input,
|
||||
"planned_output_features": planned_output,
|
||||
"output_features": total_output,
|
||||
"output_layer_counts": dict(layer_counts),
|
||||
"unmapped_class_counts": dict(unmapped),
|
||||
"navigation_relation_groups": relation_groups,
|
||||
"standalone_lights": standalone_lights,
|
||||
"nav_named_from_direct_source": named_from_direct_source,
|
||||
"nav_name_conflict_groups": name_conflict_groups,
|
||||
"quantization_fallbacks": quantization_fallbacks,
|
||||
"quantization_omissions": quantization_omissions,
|
||||
"quantization_omission_layers": dict(sorted(quantization_omission_layers.items())),
|
||||
"encoder_dropped_features": encoder_dropped_features,
|
||||
"hard_gate_unmapped": hard_gate,
|
||||
"failure_count": len(hard_gate) + name_conflict_groups + len(encoder_dropped_features) + (1 if planned_output != total_output else 0),
|
||||
"overall": (
|
||||
"PASS"
|
||||
if not hard_gate and name_conflict_groups == 0 and not encoder_dropped_features and planned_output == total_output
|
||||
else "FAIL"
|
||||
),
|
||||
}
|
||||
|
||||
Path(a.output).write_text(
|
||||
json.dumps(result, ensure_ascii=False, indent=2),
|
||||
encoding="utf-8",
|
||||
)
|
||||
|
||||
print(f"Reports : {len(files)}")
|
||||
print(f"Input rows : {total_input}")
|
||||
print(f"Planned output : {planned_output}")
|
||||
print(f"Output features : {total_output}")
|
||||
print(f"Navigation composites : {relation_groups}")
|
||||
print(f"Standalone LIGHTS : {standalone_lights}")
|
||||
print(f"Direct nav names : {named_from_direct_source}")
|
||||
print(f"Nav name conflicts : {name_conflict_groups}")
|
||||
print(f"Hard-gate unmapped : {len(hard_gate)}")
|
||||
print(f"Quantization fallback : {quantization_fallbacks}")
|
||||
print(f"Quantization omissions : {quantization_omissions}")
|
||||
print(f"Encoder dropped : {len(encoder_dropped_features)}")
|
||||
print(f"OVERALL : {result['overall']}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user