84 lines
3.0 KiB
Python
84 lines
3.0 KiB
Python
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"""
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暴雨灾害链预测接口
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"""
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import asyncio
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from typing import List, Dict, Any, Optional
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from fastapi import APIRouter, HTTPException
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from app.schemas.api_schemas import RainfallPredictRequest, PredictResponse, PredictionItem
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from app.utils.api_deps import get_rainfall_model, get_prediction_semaphore
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from app.repositories.dbn_repository import dbn_repository
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from app.config.paths import get_logger
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router = APIRouter(prefix="/rainfall", tags=["暴雨灾害链"])
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logger = get_logger("api.rainfall")
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SOURCE_TYPE_MAP = {1: "隐患点", 2: "风险点"}
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LEVEL_MAP = {"低": "低", "中": "中", "较高": "较高", "高": "高"}
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def _build_prediction_items(results: List[Dict[str, Any]]) -> List[PredictionItem]:
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"""将模型原始结果转换为接口返回格式"""
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items = []
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for r in results:
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probs = r.get("disaster_probabilities", {})
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levels = r.get("disaster_levels", {})
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if not probs:
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continue
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max_hazard = max(probs, key=probs.get)
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items.append(PredictionItem(
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id=r["point_id"],
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type=SOURCE_TYPE_MAP.get(r.get("source_type"), "未知"),
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probability=round(probs[max_hazard], 4),
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level=LEVEL_MAP.get(levels.get(max_hazard, "none"), "无"),
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))
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return items
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def _fetch_points(point_ids: Optional[List[int]], region_code: Optional[str]) -> List[Dict[str, Any]]:
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"""获取点位列表"""
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if point_ids:
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return dbn_repository.get_points_by_ids(point_ids)
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return dbn_repository.get_all_points(region_code)
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def _predict_sync(point_ids: Optional[List[int]], region_code: Optional[str],
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rainfall: float, duration: float) -> List[PredictionItem]:
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"""同步执行暴雨预测（在线程池中运行）"""
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points = _fetch_points(point_ids, region_code)
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if not points:
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return []
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model = get_rainfall_model()
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results = model.predict_multiple_points(points, rainfall=rainfall, duration=duration)
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return _build_prediction_items(results)
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@router.post("/predict", response_model=PredictResponse, summary="暴雨灾害链预测")
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async def predict_rainfall(req: RainfallPredictRequest):
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"""
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根据降雨量和持续时间，批量预测隐患点/风险点的灾害概率和等级。
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- **point_ids**: 点位ID列表（可选，不传则查询所有点）
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- **region_code**: 行政区划代码（可选，不传则不限区域）
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- **rainfall**: 累计降雨量(mm)
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- **duration**: 降雨持续时间(h)
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"""
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semaphore = get_prediction_semaphore()
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async with semaphore:
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loop = asyncio.get_event_loop()
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try:
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items = await loop.run_in_executor(
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None, _predict_sync, req.point_ids, req.region_code,
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req.rainfall, req.duration
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)
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except Exception as e:
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logger.error(f"暴雨预测失败: {e}", exc_info=True)
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raise HTTPException(status_code=500, detail=f"预测失败: {e}")
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return PredictResponse(code=200, message="success", data=items)
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