SuiteForge
07a9c3f6dd
- 去掉 province/cities 参数，只保留 output_path - GeoJSON 数据放在 data/ 目录，脚本自动读取 - 版本升到 1.0.1 - MEMORY.md / TOOLS.md 补充 platform 发布参数说明 Ref: SuiteHub/agent-profiles#22
101 lines
3.3 KiB
Python
101 lines
3.3 KiB
Python
#!/usr/bin/env python3
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"""
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Step 2: 叠加分析
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判断各城市是否在省界内（使用投影坐标系避免 CRS 警告）
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"""
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import sys
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import json
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import os
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import glob
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import geopandas as gpd
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def main():
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province_shp = os.environ.get("PARAM_PROVINCE_SHP", "")
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cities_dir = os.environ.get("PARAM_CITIES_DIR", "/tmp/output/shp")
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output_dir = os.environ.get("PARAM_OUTPUT_DIR", "/tmp/output/result")
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if not province_shp or not os.path.isfile(province_shp):
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print(json.dumps({"error": f"省界 SHP 文件不存在: {province_shp}", "success": False}))
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sys.exit(1)
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os.makedirs(output_dir, exist_ok=True)
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# 读取省界
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print(json.dumps({"msg": f"读取省界 SHP: {province_shp}"}))
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province = gpd.read_file(province_shp)
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if province.empty:
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print(json.dumps({"error": "省界数据为空", "success": False}))
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sys.exit(1)
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# 使用投影坐标系（墨卡托）计算中心点
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projected_crs = "EPSG:3857"
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province_proj = province.to_crs(projected_crs)
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# 查找所有城市 SHP
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city_shp_files = glob.glob(os.path.join(cities_dir, "*.shp"))
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city_shp_files = [f for f in city_shp_files
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if os.path.basename(f) != "province.shp"]
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if not city_shp_files:
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print(json.dumps({"error": "未找到城市 SHP 文件", "success": False}))
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sys.exit(1)
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results = []
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for shp in city_shp_files:
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city_name = os.path.splitext(os.path.basename(shp))[0]
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print(json.dumps({"msg": f"分析城市: {city_name}"}))
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city = gpd.read_file(shp)
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if city.empty:
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results.append({"city": city_name, "in_province": False,
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"reason": "数据为空", "status": "跳过"})
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continue
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city = city.to_crs(projected_crs)
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# 空间判断：城市中心点是否在省界内
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city_centroid = city.geometry.centroid.iloc[0]
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in_province = province_proj.geometry.contains(city_centroid).any()
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# 检查 intersect 作为辅助判断
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intersects = province_proj.geometry.intersects(city.geometry).any()
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status = "通过 ✅" if in_province else "不通过 ❌"
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city_name_prop = city.iloc[0].get("name", city_name)
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city_code = city.iloc[0].get("code", "")
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city_pop = city.iloc[0].get("population", 0)
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results.append({
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"city": city_name,
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"city_code": str(city_code),
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"city_name": str(city_name_prop),
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"population": int(city_pop) if city_pop else 0,
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"in_province": bool(in_province),
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"intersects": bool(intersects),
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"status": status
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})
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print(json.dumps({"msg": f"{city_name}: {status}"}))
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# 输出分析结果 JSON
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result_path = os.path.join(output_dir, "overlay_results.json")
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with open(result_path, "w", encoding="utf-8") as f:
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json.dump(results, f, ensure_ascii=False, indent=2)
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summary = {
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"success": True,
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"total_cities": len(results),
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"in_province": sum(1 for r in results if r["in_province"]),
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"not_in_province": sum(1 for r in results if not r["in_province"]),
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"results": results,
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"result_json": result_path
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}
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print(json.dumps(summary))
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if __name__ == "__main__":
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main()
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