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feat: simplify range-daymark to concentric triangles; preserve land cache

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map.js — _encRangeDaymarkCanvas:
  Remove tripod legs, hub ring and mast. Symbol is now two clean
  concentric triangles pointing up: outer WHITE + inner BLACK,
  matching the standard IALA dayboard. Optional light flare at apex
  if the feature has LITCHR. No extra structures.

chart_manager.py — _build_cache:
  Don't overwrite existing land/hazard/zone GeoJSON files with an
  empty result when the .000 has no LNDARE/OBSTRN/ZONBND layer.
  Preserves hand-built or legacy cache data for custom charts
  (e.g. Barranquilla built from nav-aids-only CSV).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Alvaro Enrique Romero Donado
2026-04-30 16:19:01 -04:00
parent 296c6c1ace
commit aa1b93c7a8
2 changed files with 51 additions and 93 deletions
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backend/services/chart_manager.py
+16 -7
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@@ -805,18 +805,27 @@ def _build_cache(cell_id: str, enc_path: Path):
log.info("ENC %s → %d depth features", cell_id, len(depths))
land = _parse_land(enc_path)
with open(cell_dir / "land.geojson", "w") as f:
json.dump({"type": "FeatureCollection", "features": land}, f)
log.info("ENC %s → %d land features", cell_id, len(land))
land_path = cell_dir / "land.geojson"
# Preserve existing land cache when the .000 has no LNDARE layer
# (e.g. custom charts built from CSV that only contain nav aids)
if land or not land_path.exists():
with open(land_path, "w") as f:
json.dump({"type": "FeatureCollection", "features": land}, f)
log.info("ENC %s → %d land features%s", cell_id, len(land),
" (preserved existing)" if not land and land_path.exists() else "")
hazards = _parse_hazards(enc_path)
with open(cell_dir / "hazards.geojson", "w") as f:
json.dump({"type": "FeatureCollection", "features": hazards}, f)
hazards_path = cell_dir / "hazards.geojson"
if hazards or not hazards_path.exists():
with open(hazards_path, "w") as f:
json.dump({"type": "FeatureCollection", "features": hazards}, f)
log.info("ENC %s → %d hazard features", cell_id, len(hazards))
zones = _parse_zones(enc_path)
with open(cell_dir / "zones.geojson", "w") as f:
json.dump({"type": "FeatureCollection", "features": zones}, f)
zones_path = cell_dir / "zones.geojson"
if zones or not zones_path.exists():
with open(zones_path, "w") as f:
json.dump({"type": "FeatureCollection", "features": zones}, f)
log.info("ENC %s → %d zone features", cell_id, len(zones))
# Cache count and bbox in meta.json so list_cells() doesn't need to read features.geojson