docs(pbf): archive Full production provenance and engineering history
This commit is contained in:
OpenAI Codex
440
coastline/render_fukuoka_saga_three_layer_png.py
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440
coastline/render_fukuoka_saga_three_layer_png.py
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#!/usr/bin/env python3
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from __future__ import annotations
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import argparse
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import json
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import math
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from pathlib import Path
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from PIL import Image, ImageDraw
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import mapbox_vector_tile
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from shapely.geometry import box, shape
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from shapely.ops import transform, unary_union
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from shapely.prepared import prep
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RADIUS = 6378137.0
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MAX_MERCATOR_LAT = 85.0511287798066
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DEFAULT_BBOX = (129.73110007140482, 32.9464631795233, 131.19176072338317, 34.25430274729531)
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COAST_CELL_M = 200.0
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FISH_CELL_M = 20.0
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HAZARD_CELL_M = 50.0
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COAST_SRC = [
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"coastline/C23-06_40_GML.zip",
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"coastline/C23-06_41_GML.zip",
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]
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FISH_AOI_SRC = "src/pbf/port-overlay/kyushu/port_overlay_kyushu_areas.geojson"
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PBF_TILE_ROOT = Path("/home/wwwroot/pbf-delivery-kyushu-reencoded")
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PBF_TILE_Z = 12
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HAZARD_LAYERS = {
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"navigation_hazard_area",
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"fixed_fishing_gear_area",
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"anchor_caution_hazard_area",
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"navigation_hazard_point",
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"anchor_caution_hazard_point",
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"navigation_marks",
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}
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LAND_LAYER = "land_area"
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POINT_LAYERS = {
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"navigation_hazard_point",
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"anchor_caution_hazard_point",
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"navigation_marks",
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}
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def mercator_x(lon: float) -> float:
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return RADIUS * math.radians(lon)
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def mercator_y(lat: float) -> float:
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lat = max(min(lat, MAX_MERCATOR_LAT), -MAX_MERCATOR_LAT)
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return RADIUS * math.log(math.tan(math.pi / 4.0 + math.radians(lat) / 2.0))
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def lon_from_mercator(x: float) -> float:
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return math.degrees(x / RADIUS)
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def lat_from_mercator(y: float) -> float:
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return math.degrees(2.0 * math.atan(math.exp(y / RADIUS)) - math.pi / 2.0)
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def bbox_intersects(a, b) -> bool:
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return not (a[2] < b[0] or a[0] > b[2] or a[3] < b[1] or a[1] > b[3])
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def local_name(tag: str) -> str:
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return tag.split("}", 1)[-1]
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def load_xml(zip_path: Path):
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import zipfile
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import xml.etree.ElementTree as ET
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with zipfile.ZipFile(zip_path) as zf:
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xml_name = next(name for name in zf.namelist() if name.endswith(".xml") and "META" not in name)
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return ET.fromstring(zf.read(xml_name))
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def lonlat_from_text(text: str) -> tuple[float, float]:
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parts = [p for p in text.replace(",", " ").split() if p]
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if len(parts) < 2:
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raise ValueError(f"invalid coordinate text: {text!r}")
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lat = float(parts[0])
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lon = float(parts[1])
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return lon, lat
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def build_point_lookup(root) -> dict[str, tuple[float, float]]:
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lookup: dict[str, tuple[float, float]] = {}
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for point in root.iter():
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if local_name(point.tag) != "GM_Point":
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continue
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point_id = point.attrib.get("id")
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if not point_id:
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continue
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coord_text = None
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for el in point.iter():
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if local_name(el.tag).endswith("DirectPosition.coordinate") and (el.text or "").strip():
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coord_text = el.text.strip()
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break
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if coord_text is None:
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continue
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lookup[point_id] = lonlat_from_text(coord_text)
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return lookup
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def extract_curve_coords(curve, point_lookup: dict[str, tuple[float, float]]) -> list[tuple[float, float]]:
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coords: list[tuple[float, float]] = []
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for pos in curve.iter():
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tag = local_name(pos.tag)
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if not tag.startswith("GM_Position"):
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continue
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direct = None
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ref = None
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for child in list(pos):
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child_tag = local_name(child.tag)
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if child_tag.endswith("DirectPosition.coordinate") and (child.text or "").strip():
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direct = child.text.strip()
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break
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if child_tag.endswith("PointRef.point"):
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ref = child.attrib.get("idref")
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if direct is not None:
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coords.append(lonlat_from_text(direct))
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elif ref and ref in point_lookup:
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coords.append(point_lookup[ref])
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return coords
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def tile_lonlat_bounds(z: int, x: int, y: int) -> tuple[float, float, float, float]:
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n = 2**z
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lon_left = x / n * 360.0 - 180.0
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lon_right = (x + 1) / n * 360.0 - 180.0
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lat_top = math.degrees(math.atan(math.sinh(math.pi * (1 - 2 * y / n))))
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lat_bottom = math.degrees(math.atan(math.sinh(math.pi * (1 - 2 * (y + 1) / n))))
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return lon_left, lat_bottom, lon_right, lat_top
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def tile_mercator_bounds(z: int, x: int, y: int) -> tuple[float, float, float, float]:
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lon_min, lat_min, lon_max, lat_max = tile_lonlat_bounds(z, x, y)
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return mercator_x(lon_min), mercator_y(lat_min), mercator_x(lon_max), mercator_y(lat_max)
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def transform_geom_from_tile(geom, bounds_m: tuple[float, float, float, float], extent: int):
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minx, miny, maxx, maxy = bounds_m
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dx = maxx - minx
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dy = maxy - miny
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def coord(x: float, y: float):
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mx = minx + (x / extent) * dx
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my = miny + (y / extent) * dy
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return mx, my
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def walk(obj):
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if isinstance(obj[0], (int, float)):
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return coord(obj[0], obj[1])
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return [walk(item) for item in obj]
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return walk(geom)
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def iter_polygons(geom):
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gt = geom.geom_type
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if gt == "Polygon":
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yield geom
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elif gt == "MultiPolygon":
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for g in geom.geoms:
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yield g
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def px_from_mercator(x: float, minx: float, px_m: float) -> float:
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return (x - minx) / px_m
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def py_from_mercator(y: float, maxy: float, px_m: float) -> float:
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return (maxy - y) / px_m
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def cell_to_px_rect(minx: float, maxy: float, px_m: float, x: float, y: float, cell_m: float) -> tuple[float, float, float, float]:
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x0 = px_from_mercator(x, minx, px_m)
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y0 = py_from_mercator(y + cell_m, maxy, px_m)
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x1 = px_from_mercator(x + cell_m, minx, px_m)
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y1 = py_from_mercator(y, maxy, px_m)
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return x0, y0, x1, y1
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def main() -> None:
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parser = argparse.ArgumentParser(description="Render Fukuoka/Saga three-layer navigation preview")
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parser.add_argument("--output-png", default="src/pbf/coastline-only/fukuoka_saga_three_layer/fukuoka_saga_three_layer.png")
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parser.add_argument("--bbox", nargs=4, type=float, default=list(DEFAULT_BBOX))
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parser.add_argument("--pixel-size-m", type=float, default=20.0)
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parser.add_argument("--coast-buffer-m", type=float, default=12.0)
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parser.add_argument("--point-buffer-m", type=float, default=25.0)
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args = parser.parse_args()
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project_root = Path(__file__).resolve().parent.parent
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out_path = Path(args.output_png)
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if not out_path.is_absolute():
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out_path = project_root / out_path
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out_path.parent.mkdir(parents=True, exist_ok=True)
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bbox = tuple(args.bbox)
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px_m = args.pixel_size_m
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# 1) 渔港 AOI
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aoi_path = project_root / FISH_AOI_SRC
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data = json.loads(aoi_path.read_text(encoding="utf-8"))
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fish_polygons = []
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fish_bounds_list = []
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for feature in data.get("features", []):
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props = feature.get("properties") or {}
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if props.get("canonical_object_type") != "漁港":
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continue
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geom = shape(feature["geometry"])
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if not bbox_intersects(geom.bounds, bbox):
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continue
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mg = transform(lambda x, y, z=None: (mercator_x(x), mercator_y(y)), geom)
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fish_polygons.append(mg)
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fish_bounds_list.append(mg.bounds)
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if not fish_polygons:
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raise SystemExit("no fish-port AOI polygons selected")
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fish_geom = unary_union(fish_polygons)
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fish_prepared = prep(fish_geom)
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# 1b) 海岸线底座，用于限制渔港 20m 小框只出现在重叠区域
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coast_lines = []
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for src in COAST_SRC:
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root = load_xml(project_root / src)
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point_lookup = build_point_lookup(root)
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for curve in root.findall(".//{http://www.opengis.net/gml/3.2}Curve"):
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coords: list[tuple[float, float]] = []
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for pos_list in curve.findall(".//{http://www.opengis.net/gml/3.2}posList"):
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if not pos_list.text:
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continue
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values = [float(part) for part in pos_list.text.split() if part]
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if len(values) < 4 or len(values) % 2 != 0:
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continue
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for i in range(0, len(values), 2):
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lat = values[i]
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lon = values[i + 1]
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coords.append((mercator_x(lon), mercator_y(lat)))
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if len(coords) < 2:
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coords = [(mercator_x(lon), mercator_y(lat)) for lon, lat in extract_curve_coords(curve, point_lookup)]
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if len(coords) < 2:
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continue
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coast_lines.append(shape({"type": "LineString", "coordinates": coords}))
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if not coast_lines:
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raise SystemExit("no coastline curves were parsed")
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coast_geom = unary_union(coast_lines)
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coast_buffer = coast_geom.buffer(args.coast_buffer_m, cap_style=2, join_style=2)
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coast_prepared = prep(coast_buffer)
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# 2) 黄色层：PBF 危险对象
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z = PBF_TILE_Z
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n = 2**z
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lon_min, lat_min, lon_max, lat_max = bbox
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x0 = max(0, int((lon_min + 180.0) / 360.0 * n))
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x1 = min(n - 1, int((lon_max + 180.0) / 360.0 * n))
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def ytile(lat: float) -> int:
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return int((1.0 - math.asinh(math.tan(math.radians(lat))) / math.pi) / 2.0 * n)
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y0 = max(0, ytile(lat_max))
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y1 = min(n - 1, ytile(lat_min))
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hazard_cells_50m: set[tuple[int, int]] = set()
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fish_reef_points: list[tuple[float, float]] = []
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hazard_source_counts: dict[str, int] = {k: 0 for k in HAZARD_LAYERS}
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hazard_features = 0
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tile_count = 0
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for tx in range(x0, x1 + 1):
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for ty in range(y0, y1 + 1):
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p = PBF_TILE_ROOT / f"{z}/{tx}/{ty}.pbf"
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if not p.exists():
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continue
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try:
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tile = mapbox_vector_tile.decode(p.read_bytes())
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except Exception:
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continue
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tile_count += 1
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bounds_m = tile_mercator_bounds(z, tx, ty)
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for layer_name in HAZARD_LAYERS:
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layer = tile.get(layer_name)
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if not layer:
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continue
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extent = int(layer.get("extent") or 1048576)
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for feature in layer.get("features", []):
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geom = feature.get("geometry") or {}
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if not geom:
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continue
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props = feature.get("properties") or {}
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is_fish_reef = (
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props.get("canonical_object_type") == "fish_reef"
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or props.get("chart_symbol_code") == "fish_reef"
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or props.get("class_name") == "魚礁"
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)
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gtype = geom.get("type")
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coords = transform_geom_from_tile(geom.get("coordinates"), bounds_m, extent)
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shp = shape({"type": gtype, "coordinates": coords})
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if shp.is_empty:
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continue
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if is_fish_reef:
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fish_reef_points.append((shp.centroid.x, shp.centroid.y))
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hazard_features += 1
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hazard_source_counts[layer_name] += 1
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continue
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if layer_name in POINT_LAYERS:
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shp = shp.buffer(args.point_buffer_m)
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hazard_features += 1
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hazard_source_counts[layer_name] += 1
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minx, miny, maxx, maxy = shp.bounds
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start_x = math.floor(minx / HAZARD_CELL_M) * HAZARD_CELL_M
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start_y = math.floor(miny / HAZARD_CELL_M) * HAZARD_CELL_M
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end_x = math.ceil(maxx / HAZARD_CELL_M) * HAZARD_CELL_M
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end_y = math.ceil(maxy / HAZARD_CELL_M) * HAZARD_CELL_M
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prep_geom = prep(shp)
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cy = start_y
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while cy < end_y:
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cx = start_x
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while cx < end_x:
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cell = box(cx, cy, cx + HAZARD_CELL_M, cy + HAZARD_CELL_M)
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if prep_geom.intersects(cell):
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hazard_cells_50m.add((int(round(cx / HAZARD_CELL_M)), int(round(cy / HAZARD_CELL_M))))
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cx += HAZARD_CELL_M
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cy += HAZARD_CELL_M
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# 2b) 黄色层单独导出：50m 障碍格 + 鱼礁黄点
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hazard_minx = mercator_x(bbox[0])
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hazard_miny = mercator_y(bbox[1])
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hazard_maxx = mercator_x(bbox[2])
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hazard_maxy = mercator_y(bbox[3])
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hazard_width = max(1, math.ceil((hazard_maxx - hazard_minx) / px_m))
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hazard_height = max(1, math.ceil((hazard_maxy - hazard_miny) / px_m))
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hazard_image = Image.new("RGBA", (hazard_width, hazard_height), (0, 0, 0, 0))
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hazard_draw = ImageDraw.Draw(hazard_image, "RGBA")
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fish_reef_count = 0
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for ix, iy in hazard_cells_50m:
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x = ix * HAZARD_CELL_M
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y = iy * HAZARD_CELL_M
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x0, y0, x1, y1 = cell_to_px_rect(hazard_minx, hazard_maxy, px_m, x, y, HAZARD_CELL_M)
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hazard_draw.rectangle((x0, y0, x1, y1), fill=(242, 194, 48, 150), outline=(235, 180, 20, 160))
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for x, y in fish_reef_points:
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px = px_from_mercator(x, hazard_minx, px_m)
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py = py_from_mercator(y, hazard_maxy, px_m)
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r = 4.0
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hazard_draw.ellipse((px - r, py - r, px + r, py + r), fill=(242, 194, 48, 235), outline=(141, 103, 0, 230), width=1)
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fish_reef_count += 1
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hazard_overlay_path = out_path.parent / "fukuoka_saga_hazard_50m_overlay.png"
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hazard_image.save(hazard_overlay_path)
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hazard_manifest = {
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"bbox_lonlat": list(bbox),
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"pixel_size_m": px_m,
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"hazard_cell_m": HAZARD_CELL_M,
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"hazard_cells_50m": len(hazard_cells_50m),
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"fish_reef_points": fish_reef_count,
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"hazard_features": hazard_features,
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"hazard_source_counts": hazard_source_counts,
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"pbf_tiles_scanned": tile_count,
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"image_width": hazard_width,
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"image_height": hazard_height,
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"png_file": hazard_overlay_path.name,
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}
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hazard_manifest_path = out_path.parent / "fukuoka_saga_hazard_50m_overlay_manifest.json"
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hazard_manifest_path.write_text(json.dumps(hazard_manifest, ensure_ascii=False, indent=2), encoding="utf-8")
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# 4) 20m 渔港不可航行格：只对渔港 AOI 内着色
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minx_all, miny_all = fish_geom.bounds[0], fish_geom.bounds[1]
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maxx_all, maxy_all = fish_geom.bounds[2], fish_geom.bounds[3]
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width = max(1, math.ceil((maxx_all - minx_all) / px_m))
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height = max(1, math.ceil((maxy_all - miny_all) / px_m))
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image = Image.new("RGBA", (width, height), (0, 0, 0, 0))
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draw = ImageDraw.Draw(image, "RGBA")
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||||
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red_cells = 0
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coast_cells = 0
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yellow_cells = 0
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for poly in iter_polygons(fish_geom):
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pb = poly.bounds
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start_x = math.floor(pb[0] / FISH_CELL_M) * FISH_CELL_M
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start_y = math.floor(pb[1] / FISH_CELL_M) * FISH_CELL_M
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end_x = math.ceil(pb[2] / FISH_CELL_M) * FISH_CELL_M
|
||||
end_y = math.ceil(pb[3] / FISH_CELL_M) * FISH_CELL_M
|
||||
prep_poly = prep(poly)
|
||||
y = start_y
|
||||
while y < end_y:
|
||||
x = start_x
|
||||
while x < end_x:
|
||||
cell = box(x, y, x + FISH_CELL_M, y + FISH_CELL_M)
|
||||
if prep_poly.intersects(cell) and coast_prepared.intersects(cell):
|
||||
x0, y0, x1, y1 = cell_to_px_rect(minx_all, maxy_all, px_m, x, y, FISH_CELL_M)
|
||||
draw.rectangle((x0, y0, x1, y1), fill=(222, 92, 92, 170))
|
||||
red_cells += 1
|
||||
x += FISH_CELL_M
|
||||
y += FISH_CELL_M
|
||||
|
||||
# 5) 黄色 50m 格
|
||||
for ix, iy in hazard_cells_50m:
|
||||
x = ix * HAZARD_CELL_M
|
||||
y = iy * HAZARD_CELL_M
|
||||
x0, y0, x1, y1 = cell_to_px_rect(minx_all, maxy_all, px_m, x, y, HAZARD_CELL_M)
|
||||
draw.rectangle((x0, y0, x1, y1), fill=(242, 194, 48, 155))
|
||||
yellow_cells += 1
|
||||
|
||||
image.save(out_path)
|
||||
|
||||
manifest = {
|
||||
"bbox_lonlat": list(bbox),
|
||||
"pixel_size_m": px_m,
|
||||
"coast_cell_m": COAST_CELL_M,
|
||||
"fish_cell_m": FISH_CELL_M,
|
||||
"hazard_cell_m": HAZARD_CELL_M,
|
||||
"fish_polygon_count": len(fish_polygons),
|
||||
"fish_green_cells": 0,
|
||||
"fish_red_cells": red_cells,
|
||||
"hazard_cells_50m": yellow_cells,
|
||||
"hazard_features": hazard_features,
|
||||
"hazard_source_counts": hazard_source_counts,
|
||||
"pbf_tiles_scanned": tile_count,
|
||||
"image_width": width,
|
||||
"image_height": height,
|
||||
"png_file": out_path.name,
|
||||
}
|
||||
manifest_path = out_path.parent / "fukuoka_saga_three_layer_manifest.json"
|
||||
manifest_path.write_text(json.dumps(manifest, ensure_ascii=False, indent=2), encoding="utf-8")
|
||||
print("已导出:")
|
||||
print(" -", out_path)
|
||||
print(" -", manifest_path)
|
||||
print(" -", hazard_overlay_path)
|
||||
print(" -", hazard_manifest_path)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user