Akiba So
e95e2f1338
Ship a new app version with broader analytics, restructured dashboards, and a server-rendered risk map. Frontend: - Add Overview, Demographic, Disease, and Environmental Health analysis pages - Add AnomalyMarkers, CalendarHeatmap, and MetricHeatmapTable components - Rebuild Alerts map onto server-rendered raster risk tiles; expand Monitoring, Trend, and District Comparison views - Extend API client, stores, and TypeScript types Backend: - Add environment router (pollutants, lag correlations) - Add risk_raster util serving XYZ 100m risk tiles - Expand cases endpoints (demographics, seasonality, diagnoses) and insights; harden auth and file-based loaders Data & tooling: - Add processed outpatient/inpatient/combined case parquet (LFS) - Add nested CLAUDE.md guides, pyrightconfig, and test updates
64 lines
1.9 KiB
Python
64 lines
1.9 KiB
Python
"""
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GeoJSON file parsing utilities.
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"""
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import json
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import logging
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from functools import lru_cache
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from pathlib import Path
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from typing import Any
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from config import WUHAN_BOUNDARY_PATH
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from utils.risk import risk_value_to_level
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logger = logging.getLogger(__name__)
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@lru_cache(maxsize=16)
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def parse_geojson_file(filepath: Path) -> list[dict[str, Any]]:
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"""Parse GeoJSON file and extract grid data with standard fields."""
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try:
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with open(filepath, "r", encoding="utf-8") as f:
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geojson = json.load(f)
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except (json.JSONDecodeError, OSError) as e:
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logger.warning("Failed to parse GeoJSON file %s: %s", filepath, e)
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return []
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grids: list[dict[str, Any]] = []
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for feature in geojson.get("features", []):
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props = feature.get("properties", {})
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coords = feature.get("geometry", {}).get("coordinates", [0, 0])
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risk_1d = props.get("risk_1d", 0)
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grids.append({
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"grid_id": str(props.get("node_id", "")),
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"latitude": props.get("lat", coords[1] if len(coords) > 1 else 0),
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"longitude": props.get("lon", coords[0] if len(coords) > 0 else 0),
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"risk_value": risk_1d,
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"risk_3d": props.get("risk_3d", 0),
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"risk_7d": props.get("risk_7d", 0),
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"risk_level": risk_value_to_level(risk_1d),
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})
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return grids
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@lru_cache(maxsize=1)
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def load_districts() -> list[dict[str, Any]]:
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"""Load Wuhan district boundaries from GeoJSON."""
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if not WUHAN_BOUNDARY_PATH.exists():
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return []
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with open(WUHAN_BOUNDARY_PATH, "r", encoding="utf-8") as f:
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geojson = json.load(f)
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districts = []
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for feature in geojson.get("features", []):
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props = feature.get("properties", {})
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districts.append({
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"name": props.get("name", ""),
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"adcode": props.get("adcode", ""),
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"coordinates": feature.get("geometry", {}).get("coordinates", []),
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})
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return districts
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