HexaWetter v1.3.0: Add precipitation map feature, update README, and enhance UI elements

This commit is contained in:
TheOnlyMace
2026-06-19 00:32:22 +02:00
parent 3589f7fdcf
commit c8bf80a2c8
11 changed files with 867 additions and 103 deletions

View File

@@ -98,6 +98,50 @@ async def fetch_all_warnings() -> list[dict[str, Any]]:
return warnings
def _warning_identity_key(warning: dict[str, Any]) -> tuple[Any, ...]:
return (
warning.get("event"),
warning.get("headline"),
warning.get("level"),
warning.get("start"),
warning.get("end"),
warning.get("description"),
warning.get("instruction"),
)
def _dedupe_warnings(warnings: list[dict[str, Any]]) -> list[dict[str, Any]]:
merged: dict[tuple[Any, ...], dict[str, Any]] = {}
for warning in warnings:
key = _warning_identity_key(warning)
region = warning.get("region_name")
if key not in merged:
merged[key] = {
**warning,
"_cell_ids": [warning["cell_id"]],
"_regions": [region] if region else [],
}
continue
entry = merged[key]
if warning["cell_id"] not in entry["_cell_ids"]:
entry["_cell_ids"].append(warning["cell_id"])
if region and region not in entry["_regions"]:
entry["_regions"].append(region)
result: list[dict[str, Any]] = []
for entry in merged.values():
regions = entry.pop("_regions", [])
cell_ids = entry.pop("_cell_ids", [entry.get("cell_id")])
if len(regions) > 1:
entry["region_name"] = " · ".join(regions)
elif regions:
entry["region_name"] = regions[0]
entry["cell_id"] = cell_ids[0] if len(cell_ids) == 1 else ",".join(cell_ids)
result.append(entry)
result.sort(key=lambda w: (-w["level"], w.get("start") or ""))
return result
async def fetch_warnings_for_location(lat: float, lon: float, local_only: bool = True) -> dict[str, Any]:
warnings = await fetch_all_warnings()
warncells = await resolve_warncells(lat, lon)
@@ -111,15 +155,16 @@ async def fetch_warnings_for_location(lat: float, lon: float, local_only: bool =
]
if local_only:
result_warnings = local
result_warnings = _dedupe_warnings(local)
else:
result_warnings = warnings[:100]
result_warnings = _dedupe_warnings(warnings[:100])
return {
"lat": lat,
"lon": lon,
"count_total": len(warnings),
"count_local": len(local),
"count_local": len(result_warnings),
"count_matched_raw": len(local),
"warnings": result_warnings,
"warncells": warncells.get("areas", []),
"matched_cell_ids": sorted(cell_ids),