guard high-extent tile reencoding

build_semantic_delivery_assets.py

@@ -0,0 +1,354 @@
+from __future__ import annotations
+
+import csv
+import json
+import os
+import re
+import shutil
+import subprocess
+from concurrent.futures import ProcessPoolExecutor
+from dataclasses import dataclass
+from pathlib import Path
+
+import mapbox_vector_tile
+from PIL import Image
+
+from navsea_tile_reencode_guard import (
+    assert_reencoded_tile_safe,
+    decode_tile_with_extents,
+    encode_layers_preserving_extents,
+)
+
+REPO_ROOT = Path(__file__).resolve().parent
+BASE_AUDIT_CSV = REPO_ROOT / "tasks/pbf/NavSea_Sprite_Audit_newpec_style_with_pbf_2026-04-16.csv"
+T_OVERRIDE_CSV = REPO_ROOT / "tasks/pbf/NavSea_Sprite_Basis_T_建议修正表_2026-04-16.csv"
+MAPPING_JSON = REPO_ROOT / "src/pbf/semantic_sprite_key_map_2026-04-16.json"
+
+SOURCE_SPRITE_JSON_2X = Path("/mnt/sda1/www/newpec/sprite/sprite@2x.json")
+SOURCE_SPRITE_PNG_2X = Path("/mnt/sda1/www/newpec/sprite/sprite@2x.png")
+OUTPUT_SPRITE_DIR = Path("/mnt/sda1/www/newpec/sprite-semantic")
+
+SOURCE_STYLE = REPO_ROOT / "src/pbf/style.navsea-delivery-full.json"
+OUTPUT_STYLE = REPO_ROOT / "src/pbf/style.navsea-delivery-full-semantic.json"
+DEPLOYED_STYLE = Path("/mnt/sda1/www/newpec/domain/style.navsea-delivery-full-semantic.json")
+
+SOURCE_PBF_ROOT = Path("/home/wwwroot/pbf-delivery-full-20260415")
+OUTPUT_PBF_ROOT = Path("/home/wwwroot/pbf-delivery-full-semantic-20260416")
+
+SEMANTIC_SPRITE_BASE_URL = "http://192.168.200.184/newpec/sprite-semantic/sprite"
+SEMANTIC_PBF_TILE_URL = "http://192.168.200.184/pbf-delivery-full-semantic-20260416/{z}/{x}/{y}.pbf"
+STYLE_VERSION = "full-semantic-style-r1-20260416-1628"
+PBF_VERSION = "full-semantic-pbf-r1-20260416-1628"
+SPRITE_VERSION = "full-semantic-sprite-r1-20260416-1628"
+
+PBF_PROPERTY_FIELDS = ("chart_icon_image", "chart_fill_pattern")
+
+
+@dataclass(frozen=True)
+class AuditRow:
+    old_sprite_key: str
+    used_in_newpec_style: int
+    used_in_pbf: int
+    new_sprite_key: str
+
+
+def normalize_key(value: str) -> str:
+    value = re.sub(r"\s*\[[^\]]+\]\s*", "", value.strip())
+    value = value.replace("-", "_").replace(" ", "_").lower()
+    value = (
+        value.replace("easte", "east")
+        .replace("sourth", "south")
+        .replace("varian", "variant")
+        .replace("cardianal", "cardinal")
+    )
+    value = re.sub(r"_+", "_", value).strip("_")
+    return value
+
+
+def load_audit_rows() -> list[AuditRow]:
+    overrides: dict[str, str] = {}
+    with T_OVERRIDE_CSV.open(encoding="utf-8-sig") as handle:
+        for row in csv.DictReader(handle):
+            overrides[row["old_sprite_key"].strip()] = row["suggested_new_sprite_key"].strip()
+
+    rows: list[AuditRow] = []
+    with BASE_AUDIT_CSV.open(encoding="utf-8-sig") as handle:
+        for row in csv.DictReader(handle):
+            old_key = row["old_sprite_key"].strip()
+            new_key = overrides.get(old_key) or row["new_sprite_key"].strip()
+            rows.append(
+                AuditRow(
+                    old_sprite_key=old_key,
+                    used_in_newpec_style=int(row["used_in_newpec_style"] or 0),
+                    used_in_pbf=int(row["used_in_pbf"] or 0),
+                    new_sprite_key=normalize_key(new_key) if new_key else "",
+                )
+            )
+    return rows
+
+
+def build_mapping(rows: list[AuditRow]) -> dict[str, str]:
+    mapping: dict[str, str] = {}
+    for row in rows:
+        if row.new_sprite_key:
+            mapping[row.old_sprite_key] = row.new_sprite_key
+    return mapping
+
+
+def build_used_sprite_entries(rows: list[AuditRow], mapping: dict[str, str]) -> list[tuple[str, str]]:
+    used: list[tuple[str, str]] = []
+    for row in rows:
+        if row.used_in_newpec_style <= 0 and row.used_in_pbf <= 0:
+            continue
+        used.append((row.old_sprite_key, mapping.get(row.old_sprite_key, row.old_sprite_key)))
+    return used
+
+
+def write_mapping_json(mapping: dict[str, str]) -> None:
+    MAPPING_JSON.write_text(
+        json.dumps(dict(sorted(mapping.items())), ensure_ascii=False, indent=2) + "\n",
+        encoding="utf-8",
+    )
+
+
+def pack_entries(
+    entries: list[tuple[str, str]],
+    source_meta: dict[str, dict],
+    scale: float,
+    max_width: int,
+) -> tuple[Image.Image, dict[str, dict]]:
+    positions: dict[str, dict] = {}
+    cursor_x = 0
+    cursor_y = 0
+    row_height = 0
+    packed: list[tuple[str, tuple[int, int, int, int]]] = []
+
+    for old_key, new_key in entries:
+        meta = source_meta[old_key]
+        width = max(1, round(meta["width"] * scale))
+        height = max(1, round(meta["height"] * scale))
+        if cursor_x and cursor_x + width > max_width:
+            cursor_x = 0
+            cursor_y += row_height
+            row_height = 0
+        packed.append((old_key, (cursor_x, cursor_y, width, height)))
+        record = {
+            "x": cursor_x,
+            "y": cursor_y,
+            "width": width,
+            "height": height,
+            "pixelRatio": 1 if scale == 0.5 else 2,
+        }
+        positions[new_key] = record
+        if old_key != new_key:
+            positions[old_key] = dict(record)
+        cursor_x += width
+        row_height = max(row_height, height)
+
+    atlas_height = cursor_y + row_height
+    image = Image.new("RGBA", (max_width, atlas_height), (0, 0, 0, 0))
+    source_image = Image.open(SOURCE_SPRITE_PNG_2X).convert("RGBA")
+
+    for old_key, (x, y, width, height) in packed:
+        meta = source_meta[old_key]
+        crop = source_image.crop(
+            (
+                meta["x"],
+                meta["y"],
+                meta["x"] + meta["width"],
+                meta["y"] + meta["height"],
+            )
+        )
+        if scale != 1.0:
+            crop = crop.resize((width, height), Image.LANCZOS)
+        image.paste(crop, (x, y))
+
+    return image, positions
+
+
+def build_semantic_sprite(entries: list[tuple[str, str]]) -> None:
+    OUTPUT_SPRITE_DIR.mkdir(parents=True, exist_ok=True)
+    source_meta = json.loads(SOURCE_SPRITE_JSON_2X.read_text(encoding="utf-8"))
+
+    atlas_2x, meta_2x = pack_entries(entries, source_meta, scale=1.0, max_width=2048)
+    atlas_1x, meta_1x = pack_entries(entries, source_meta, scale=0.5, max_width=1024)
+
+    atlas_2x.save(OUTPUT_SPRITE_DIR / "sprite@2x.png")
+    atlas_1x.save(OUTPUT_SPRITE_DIR / "sprite.png")
+    (OUTPUT_SPRITE_DIR / "sprite@2x.json").write_text(
+        json.dumps(meta_2x, ensure_ascii=False, indent=2) + "\n", encoding="utf-8"
+    )
+    (OUTPUT_SPRITE_DIR / "sprite.json").write_text(
+        json.dumps(meta_1x, ensure_ascii=False, indent=2) + "\n", encoding="utf-8"
+    )
+
+
+def replace_sprite_keys(value, mapping: dict[str, str]):
+    if isinstance(value, dict):
+        return {k: replace_sprite_keys(v, mapping) for k, v in value.items()}
+    if isinstance(value, list):
+        return [replace_sprite_keys(item, mapping) for item in value]
+    if isinstance(value, str):
+        return mapping.get(value, value)
+    return value
+
+
+def build_semantic_style(mapping: dict[str, str]) -> None:
+    style = json.loads(SOURCE_STYLE.read_text(encoding="utf-8"))
+    style = replace_sprite_keys(style, mapping)
+    style["name"] = "NavSea Delivery Full Semantic"
+    style["sprite"] = SEMANTIC_SPRITE_BASE_URL
+    if style.get("sources", {}).get("navsea_delivery"):
+        style["sources"]["navsea_delivery"]["tiles"] = [SEMANTIC_PBF_TILE_URL]
+    OUTPUT_STYLE.write_text(json.dumps(style, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
+    DEPLOYED_STYLE.write_text(json.dumps(style, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
+
+
+def hardlink_or_copy(src: Path, dst: Path) -> None:
+    dst.parent.mkdir(parents=True, exist_ok=True)
+    if dst.exists():
+        dst.unlink()
+    try:
+        os.link(src, dst)
+    except OSError:
+        dst.write_bytes(src.read_bytes())
+
+
+def remap_tile(src: Path, dst: Path, value_map: dict[str, str], needles: list[bytes]) -> tuple[bool, int]:
+    raw = src.read_bytes()
+    if not any(needle in raw for needle in needles):
+        hardlink_or_copy(src, dst)
+        return False, 0
+
+    decoded, source_extents = decode_tile_with_extents(raw)
+    changed_features = 0
+    changed = False
+    layers = []
+
+    for layer_name, layer in decoded.items():
+        features = []
+        for feature in layer["features"]:
+            props = feature.get("properties", {})
+            feature_changed = False
+            for field in PBF_PROPERTY_FIELDS:
+                value = props.get(field)
+                if isinstance(value, str) and value in value_map:
+                    props[field] = value_map[value]
+                    feature_changed = True
+            if feature_changed:
+                changed_features += 1
+                changed = True
+            output_feature = {
+                "geometry": feature["geometry"],
+                "properties": props,
+            }
+            if feature.get("id") is not None:
+                output_feature["id"] = feature["id"]
+            features.append(output_feature)
+        layers.append({"name": layer_name, "features": features})
+
+    if changed:
+        dst.parent.mkdir(parents=True, exist_ok=True)
+        if dst.exists():
+            dst.unlink()
+        dst.write_bytes(encode_layers_preserving_extents(layers, source_extents))
+        assert_reencoded_tile_safe(src, dst)
+    else:
+        hardlink_or_copy(src, dst)
+    return changed, changed_features
+
+
+def remap_tile_job(args: tuple[str, str, dict[str, str], list[bytes]]) -> tuple[bool, int]:
+    src_str, dst_str, value_map, needles = args
+    return remap_tile(Path(src_str), Path(dst_str), value_map, needles)
+
+
+def backfill_missing_tiles(src_root: Path, dst_root: Path) -> int:
+    missing = 0
+    for src in src_root.rglob("*.pbf"):
+        dst = dst_root / src.relative_to(src_root)
+        if dst.exists():
+            continue
+        hardlink_or_copy(src, dst)
+        missing += 1
+    return missing
+
+
+def build_semantic_pbf(rows: list[AuditRow], mapping: dict[str, str]) -> dict[str, int]:
+    value_map = {
+        row.old_sprite_key: mapping[row.old_sprite_key]
+        for row in rows
+        if row.used_in_pbf > 0 and row.old_sprite_key in mapping
+    }
+    needles = [old.encode("utf-8") for old in value_map]
+    if OUTPUT_PBF_ROOT.exists():
+        shutil.rmtree(OUTPUT_PBF_ROOT)
+    OUTPUT_PBF_ROOT.parent.mkdir(parents=True, exist_ok=True)
+    subprocess.run(
+        ["cp", "-al", f"{SOURCE_PBF_ROOT}/.", str(OUTPUT_PBF_ROOT)],
+        check=True,
+    )
+
+    rg_cmd = ["rg", "-a", "-l", "-F"]
+    for old_key in value_map:
+        rg_cmd.extend(["-e", old_key])
+    rg_cmd.append(str(SOURCE_PBF_ROOT))
+    result = subprocess.run(rg_cmd, check=True, capture_output=True, text=True)
+    tile_paths = [Path(line) for line in result.stdout.splitlines() if line.strip()]
+
+    stats = {
+        "tiles_total": len(list(SOURCE_PBF_ROOT.rglob("*.pbf"))),
+        "tiles_changed": 0,
+        "features_changed": 0,
+        "tiles_scanned_for_rewrite": len(tile_paths),
+    }
+
+    jobs = [
+        (
+            str(src),
+            str(OUTPUT_PBF_ROOT / src.relative_to(SOURCE_PBF_ROOT)),
+            value_map,
+            needles,
+        )
+        for src in tile_paths
+    ]
+
+    with ProcessPoolExecutor(max_workers=min(os.cpu_count() or 4, 12)) as executor:
+        for changed, feature_count in executor.map(remap_tile_job, jobs, chunksize=128):
+            if changed:
+                stats["tiles_changed"] += 1
+                stats["features_changed"] += feature_count
+
+    stats["tiles_backfilled"] = backfill_missing_tiles(SOURCE_PBF_ROOT, OUTPUT_PBF_ROOT)
+    stats["tiles_total_after_backfill"] = len(list(OUTPUT_PBF_ROOT.rglob("*.pbf")))
+
+    return stats
+
+
+def main() -> None:
+    rows = load_audit_rows()
+    mapping = build_mapping(rows)
+    used_entries = build_used_sprite_entries(rows, mapping)
+
+    write_mapping_json(mapping)
+    build_semantic_sprite(used_entries)
+    build_semantic_style(mapping)
+    pbf_stats = build_semantic_pbf(rows, mapping)
+
+    summary = {
+        "mapping_count": len(mapping),
+        "used_sprite_entries": len(used_entries),
+        "style_output": str(OUTPUT_STYLE),
+        "deployed_style": str(DEPLOYED_STYLE),
+        "sprite_output_dir": str(OUTPUT_SPRITE_DIR),
+        "pbf_output_dir": str(OUTPUT_PBF_ROOT),
+        **pbf_stats,
+        "style_version": STYLE_VERSION,
+        "pbf_version": PBF_VERSION,
+        "sprite_version": SPRITE_VERSION,
+    }
+    print(json.dumps(summary, ensure_ascii=False, indent=2))
+
+
+if __name__ == "__main__":
+    main()

navsea_extent_shift_audit.py

@@ -0,0 +1,82 @@
+#!/usr/bin/env python3
+from __future__ import annotations
+
+import argparse
+import json
+from pathlib import Path
+from typing import Any
+
+from navsea_tile_reencode_guard import validate_reencoded_tile
+
+
+DEFAULT_SOURCE_ROOT = Path(
+    "/home/wwwroot/newpec/exported_auto/"
+    "tile.mapple-on.jp__newpec-mvt-20260106__z___x___y_.pbf/tiles"
+)
+
+
+def parse_args() -> argparse.Namespace:
+    parser = argparse.ArgumentParser(description="审计 PBF 是否存在高 extent 被 4096 口径重编码的几何错移。")
+    parser.add_argument("--target-root", type=Path, required=True)
+    parser.add_argument("--source-root", type=Path, default=DEFAULT_SOURCE_ROOT)
+    parser.add_argument("--output-json", type=Path)
+    parser.add_argument("--zoom", action="append", type=int)
+    parser.add_argument("--sample-limit", type=int, default=50)
+    return parser.parse_args()
+
+
+def should_include(rel: Path, zoom_filter: set[int] | None) -> bool:
+    if not zoom_filter:
+        return True
+    try:
+        return int(rel.parts[0]) in zoom_filter
+    except Exception:
+        return False
+
+
+def main() -> None:
+    args = parse_args()
+    zoom_filter = set(args.zoom or [])
+    suspicious_tiles: list[dict[str, Any]] = []
+    checked = 0
+
+    for tile_path in sorted(args.target_root.glob("*/*/*.pbf")):
+        rel = tile_path.relative_to(args.target_root)
+        if not should_include(rel, zoom_filter or None):
+            continue
+        source_tile = args.source_root / rel
+        if not source_tile.exists():
+            continue
+        checked += 1
+        verdict = validate_reencoded_tile(source_tile, tile_path)
+        if verdict["suspicious"]:
+            suspicious_tiles.append(
+                {
+                    "tile": str(rel),
+                    **verdict,
+                }
+            )
+
+    suspicious_tiles.sort(
+        key=lambda item: (
+            item["output_max_overflow"] - item["source_max_overflow"],
+            item["tile"],
+        ),
+        reverse=True,
+    )
+    summary = {
+        "target_root": str(args.target_root),
+        "source_root": str(args.source_root),
+        "zoom_filter": sorted(zoom_filter),
+        "tiles_checked": checked,
+        "suspicious_tile_count": len(suspicious_tiles),
+        "samples": suspicious_tiles[: args.sample_limit],
+    }
+    if args.output_json:
+        args.output_json.parent.mkdir(parents=True, exist_ok=True)
+        args.output_json.write_text(json.dumps(summary, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
+    print(json.dumps(summary, ensure_ascii=False, indent=2))
+
+
+if __name__ == "__main__":
+    main()

navsea_tile_reencode_guard.py

@@ -0,0 +1,77 @@
+#!/usr/bin/env python3
+from __future__ import annotations
+
+from pathlib import Path
+from typing import Any
+
+import mapbox_vector_tile
+
+from navsea_geometry_native_audit import analyze_tile
+
+
+def decode_tile_with_extents(raw: bytes) -> tuple[dict[str, Any], dict[str, int]]:
+    decoded = mapbox_vector_tile.decode(raw)
+    extents = {
+        layer_name: int(layer.get("extent") or 4096)
+        for layer_name, layer in decoded.items()
+    }
+    return decoded, extents
+
+
+def encode_layers_preserving_extents(
+    encoded_layers: list[dict[str, Any]],
+    layer_extents: dict[str, int],
+) -> bytes:
+    per_layer_options = {
+        layer["name"]: {"extents": int(layer_extents[layer["name"]])}
+        for layer in encoded_layers
+    }
+    return mapbox_vector_tile.encode(encoded_layers, per_layer_options=per_layer_options)
+
+
+def validate_reencoded_tile(
+    source_tile_path: Path,
+    output_tile_path: Path,
+    *,
+    tolerance: int = 4096,
+) -> dict[str, Any]:
+    source_analysis = analyze_tile(source_tile_path)
+    output_analysis = analyze_tile(output_tile_path)
+
+    source_extent = max(source_analysis["extent_values"]) if source_analysis["extent_values"] else 4096
+    output_extent = max(output_analysis["extent_values"]) if output_analysis["extent_values"] else 4096
+    source_overflow = int(source_analysis["max_overflow"])
+    output_overflow = int(output_analysis["max_overflow"])
+    suspicious_extent_shift = (
+        output_extent > 4096
+        and output_overflow >= source_overflow + (output_extent - 4096) - tolerance
+    )
+    suspicious = output_overflow > source_overflow + tolerance or suspicious_extent_shift
+
+    return {
+        "source_extent_values": source_analysis["extent_values"],
+        "output_extent_values": output_analysis["extent_values"],
+        "source_max_overflow": source_overflow,
+        "output_max_overflow": output_overflow,
+        "suspicious_extent_shift": suspicious_extent_shift,
+        "suspicious": suspicious,
+    }
+
+
+def assert_reencoded_tile_safe(
+    source_tile_path: Path,
+    output_tile_path: Path,
+    *,
+    tolerance: int = 4096,
+) -> None:
+    verdict = validate_reencoded_tile(source_tile_path, output_tile_path, tolerance=tolerance)
+    if verdict["suspicious"]:
+        raise RuntimeError(
+            "reencoded tile geometry drift detected: "
+            f"source={source_tile_path} output={output_tile_path} "
+            f"source_extent={verdict['source_extent_values']} "
+            f"output_extent={verdict['output_extent_values']} "
+            f"source_overflow={verdict['source_max_overflow']} "
+            f"output_overflow={verdict['output_max_overflow']} "
+            f"suspicious_extent_shift={verdict['suspicious_extent_shift']}"
+        )

report/full_extent_shift_root_cause_2026-04-18.md

@@ -0,0 +1,109 @@
+# 全国 full / semantic 高 extent 几何错移根因报告
+
+## 1. 结论
+
+- 当前全国 `full / semantic` 中反复出现的“大块空白 / 岛礁附近整块打穿 / 右侧大片缺失”问题
+- 根因不是 `style` 改图标本身
+- 真正根因是：
+  - 某条会重写 `PBF` 的生产链路
+  - 在处理原始 `extent = 1048576` 的高精度 tile 时
+  - 用了 `4096` 口径重编码几何
+- 结果会把 tile 的几何整体错移，尤其是 `Y` 坐标整张 tile 下移一个：
+  - `1048576 - 4096 = 1044480`
+  量级的偏移
+
+## 2. 证据
+
+### 2.1 生产坏 tile 的数值签名
+
+- 代表坏 tile：
+  - `/tmp/navsea_hotspot_rebuild/backup_full/12/3526/1643.pbf`
+  - `/tmp/navsea_hotspot_rebuild/backup_semantic/12/3526/1643.pbf`
+- 对比 source tile：
+  - `/home/wwwroot/newpec/exported_auto/tile.mapple-on.jp__newpec-mvt-20260106__z___x___y_.pbf/tiles/12/3526/1643.pbf`
+- source 正常 overflow：
+  - `20480`
+- 坏 tile overflow：
+  - `1064960`
+
+### 2.2 复现实验
+
+- 已直接拿 source tile 做重编码实验
+- 当把原始 `extent = 1048576` tile 重新编码时，故意把 layer `extent` 改成 `4096`
+- 可以稳定复现出与生产坏 tile 一模一样的几何签名：
+  - `overflow = 1064960`
+- 这说明：
+  - 当前线上坏 tile 不是随机损坏
+  - 而是非常明确的“高 extent tile 被按 4096 口径重编码”的产物
+
+### 2.3 热点备份审计结果
+
+- 对修前热点 full 备份：
+  - [`hotspot_backup_full_shift_audit_2026-04-18.json`](/root/sourceserver/pbf/report/hotspot_backup_full_shift_audit_2026-04-18.json)
+- 对修前热点 semantic 备份：
+  - [`hotspot_backup_semantic_shift_audit_2026-04-18.json`](/root/sourceserver/pbf/report/hotspot_backup_semantic_shift_audit_2026-04-18.json)
+- 结果：
+  - `backup_full`：`154` 张里有 `42` 张命中该签名
+  - `backup_semantic`：`154` 张里有 `43` 张命中该签名
+
+## 3. 为什么会让人误以为是“改图标导致的”
+
+- 图标 / style 变更本身不会把海底等深线、海岸线、陆域几何整块打空
+- 但“图标改名 / 属性改写”这类需求往往会触发：
+  - `decode pbf`
+  - `改属性`
+  - `encode pbf`
+  这条重写链
+- 一旦这条链在高 extent tile 上没有保回原始 extent
+  - 几何就会被整体写坏
+- 所以用户看到“像是改 style 图标之后坏了”
+  - 现象上是对的
+  - 但根因不是 style
+  - 而是“被图标/属性变更触发的 PBF 重编码链”出了错
+
+## 4. 本轮代码修复
+
+### 4.1 已新增重编码守卫
+
+- [`navsea_tile_reencode_guard.py`](/root/sourceserver/pbf/navsea_tile_reencode_guard.py)
+
+用途：
+
+- 统一保存原 layer `extent`
+- 重编码后立即和 source tile 做几何签名比对
+- 一旦出现：
+  - overflow 异常增大
+  - 或命中 `1048576 -> 4096` 错重编码签名
+  直接报错，不允许静默产出坏 tile
+
+### 4.2 已新增根因审计脚本
+
+- [`navsea_extent_shift_audit.py`](/root/sourceserver/pbf/navsea_extent_shift_audit.py)
+
+用途：
+
+- 审计目标目录里是否存在：
+  - 高 extent tile 被按 4096 口径错重编码
+  的几何签名
+
+### 4.3 已加固语义版 PBF 重写链
+
+- 已修改：
+  - [`build_semantic_delivery_assets.py`](/root/sourceserver/pbf/build_semantic_delivery_assets.py)
+
+当前要求：
+
+- decode 时显式带出原始 layer extent
+- encode 时必须按原 layer extent 写回
+- 每张被重写的 tile 写完后立即做几何守卫校验
+
+## 5. 当前对线上问题的影响
+
+- 热点 AOI 中已修过的 tile：
+  - 已通过重建替换为当前正确几何
+- 但全国目录里仍可能存在更多尚未重建的历史坏 tile
+- 因此要“彻底解决”全国问题，最终仍需要：
+  - 用当前受保护的生产链路重建全国 `full`
+  - 再基于新的 full 重建 `semantic`
+  - 并在部署前跑一轮 `extent shift audit`
+

report/hotspot_backup_full_shift_audit_2026-04-18.json

@@ -0,0 +1,555 @@
+{
+  "target_root": "/tmp/navsea_hotspot_rebuild/backup_full",
+  "source_root": "/home/wwwroot/newpec/exported_auto/tile.mapple-on.jp__newpec-mvt-20260106__z___x___y_.pbf/tiles",
+  "zoom_filter": [],
+  "tiles_checked": 154,
+  "suspicious_tile_count": 42,
+  "samples": [
+    {
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+        1048576
+      ],
+      "output_extent_values": [
+        1048576
+      ],
+      "source_max_overflow": 20480,
+      "output_max_overflow": 1064960,
+      "suspicious_extent_shift": true,
+      "suspicious": true
+    },
+    {
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+        1048576
+      ],
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+        1048576
+      ],
+      "source_max_overflow": 20480,
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+      "suspicious_extent_shift": true,
+      "suspicious": true
+    },
+    {
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+      ],
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+        1048576
+      ],
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+      "suspicious_extent_shift": true,
+      "suspicious": true
+    },
+    {
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+        1048576
+      ],
+      "output_extent_values": [
+        1048576
+      ],
+      "source_max_overflow": 20480,
+      "output_max_overflow": 1064960,
+      "suspicious_extent_shift": true,
+      "suspicious": true
+    },
+    {
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+      "source_extent_values": [
+        1048576
+      ],
+      "output_extent_values": [
+        1048576
+      ],
+      "source_max_overflow": 20480,
+      "output_max_overflow": 1064960,
+      "suspicious_extent_shift": true,
+      "suspicious": true
+    },
+    {
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+      "output_extent_values": [
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+      "source_max_overflow": 20480,
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+      "suspicious": true
+    },
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+      "suspicious": true
+    },
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+      "output_extent_values": [
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+      "suspicious": true
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+      "source_max_overflow": 20480,
+      "output_max_overflow": 1064960,
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+      "suspicious": true
+    },
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+      "output_extent_values": [
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+      "output_max_overflow": 1064960,
+      "suspicious_extent_shift": true,
+      "suspicious": true
+    },
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+      "output_max_overflow": 1064960,
+      "suspicious_extent_shift": true,
+      "suspicious": true
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+      "suspicious": true
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+      "suspicious": true
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+      "suspicious": true
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+    {
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+      "source_extent_values": [
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+      "output_extent_values": [
+        1048576
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+      "source_max_overflow": 20480,
+      "output_max_overflow": 1064960,
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+      "suspicious": true
+    },
+    {
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+      "output_extent_values": [
+        1048576
+      ],
+      "source_max_overflow": 20480,
+      "output_max_overflow": 1064960,
+      "suspicious_extent_shift": true,
+      "suspicious": true
+    },
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+      ],
+      "output_extent_values": [
+        1048576
+      ],
+      "source_max_overflow": 20480,
+      "output_max_overflow": 1064960,
+      "suspicious_extent_shift": true,
+      "suspicious": true
+    },
+    {
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+      "source_extent_values": [
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+        1048576
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+      "output_max_overflow": 1064960,
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+      "suspicious": true
+    },
+    {
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+      "output_extent_values": [
+        1048576
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+      "output_max_overflow": 1064960,
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+      "suspicious": true
+    },
+    {
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+      "suspicious": true
+    },
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+      "suspicious": true
+    },
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+      "suspicious": true
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+      "suspicious": true
+    },
+    {
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+      "suspicious": true
+    },
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+      "suspicious": true
+    },
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+        1048576
+      ],
+      "source_max_overflow": 20480,
+      "output_max_overflow": 1064960,
+      "suspicious_extent_shift": true,
+      "suspicious": true
+    },
+    {
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+      "suspicious": true
+    },
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+      "suspicious": true
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+      "suspicious": true
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+      "suspicious": true
+    },
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+      "source_extent_values": [
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+      "output_extent_values": [
+        1048576
+      ],
+      "source_max_overflow": 20480,
+      "output_max_overflow": 1064960,
+      "suspicious_extent_shift": true,
+      "suspicious": true
+    },
+    {
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+      ],
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+        1048576
+      ],
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+      "output_max_overflow": 1064960,
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+      "suspicious": true
+    },
+    {
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+      ],
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+      "suspicious": true
+    },
+    {
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+      "source_max_overflow": 20480,
+      "output_max_overflow": 1064960,
+      "suspicious_extent_shift": true,
+      "suspicious": true
+    },
+    {
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+      "suspicious": true
+    },
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+      "source_max_overflow": 20480,
+      "output_max_overflow": 1064960,
+      "suspicious_extent_shift": true,
+      "suspicious": true
+    }
+  ]
+}

report/hotspot_backup_semantic_shift_audit_2026-04-18.json

@@ -0,0 +1,568 @@
+{
+  "target_root": "/tmp/navsea_hotspot_rebuild/backup_semantic",
+  "source_root": "/home/wwwroot/newpec/exported_auto/tile.mapple-on.jp__newpec-mvt-20260106__z___x___y_.pbf/tiles",
+  "zoom_filter": [],
+  "tiles_checked": 154,
+  "suspicious_tile_count": 43,
+  "samples": [
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+      "suspicious_extent_shift": true,
+      "suspicious": true
+    },
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+      "output_max_overflow": 1064960,
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+      "suspicious": true
+    },
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+      "suspicious": true
+    },
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+      ],
+      "source_max_overflow": 20480,
+      "output_max_overflow": 1064960,
+      "suspicious_extent_shift": true,
+      "suspicious": true
+    },
+    {
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+      "source_extent_values": [
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+      ],
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+      ],
+      "source_max_overflow": 20480,
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+      "suspicious": true
+    },
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