269 lines
10 KiB
Python
269 lines
10 KiB
Python
from fastapi import APIRouter, Depends, HTTPException, Query
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from datetime import datetime
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from psycopg import AsyncConnection
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from app.infra.db.timescaledb.composite_queries import CompositeQueries
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from .dependencies import get_timescale_connection, get_postgres_connection
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router = APIRouter()
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@router.get("/composite/scada-simulation", summary="获取SCADA关联的模拟数据",
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tags=["复合查询"])
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async def get_scada_associated_simulation_data(
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start_time: datetime = Query(..., description="查询开始时间"),
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end_time: datetime = Query(..., description="查询结束时间"),
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device_ids: str = Query(..., description="SCADA设备ID列表，逗号分隔"),
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scheme_type: str = Query(None, description="方案类型，若为空则查询实时数据"),
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scheme_name: str = Query(None, description="方案名称，若为空则查询实时数据"),
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timescale_conn: AsyncConnection = Depends(get_timescale_connection),
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postgres_conn: AsyncConnection = Depends(get_postgres_connection),
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):
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"""
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获取SCADA关联的link/node模拟值
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根据传入的SCADA device_ids，找到关联的link/node，
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并根据对应的type，查询对应的模拟数据。支持查询实时或方案数据。
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Args:
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start_time: 查询开始时间
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end_time: 查询结束时间
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device_ids: SCADA设备ID列表，用逗号分隔
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scheme_type: 方案类型，若为空则查询实时数据
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scheme_name: 方案名称，若为空则查询实时数据
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timescale_conn: TimescaleDB连接
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postgres_conn: PostgreSQL连接
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Returns:
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SCADA关联的模拟数据
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Raises:
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HTTPException: 当查询参数无效时返回400错误，未找到数据时返回404错误
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"""
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try:
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device_ids_list = (
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[id.strip() for id in device_ids.split(",") if id.strip()]
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if device_ids
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else []
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)
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if scheme_type and scheme_name:
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result = await CompositeQueries.get_scada_associated_scheme_simulation_data(
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timescale_conn,
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postgres_conn,
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device_ids_list,
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start_time,
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end_time,
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scheme_type,
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scheme_name,
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)
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else:
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result = (
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await CompositeQueries.get_scada_associated_realtime_simulation_data(
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timescale_conn,
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postgres_conn,
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device_ids_list,
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start_time,
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end_time,
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)
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)
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if result is None:
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raise HTTPException(status_code=404, detail="No simulation data found")
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return result
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except ValueError as e:
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raise HTTPException(status_code=400, detail=str(e))
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@router.get("/composite/element-simulation", summary="获取管网元素的模拟数据",
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tags=["复合查询"])
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async def get_feature_simulation_data(
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start_time: datetime = Query(..., description="查询开始时间"),
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end_time: datetime = Query(..., description="查询结束时间"),
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feature_infos: str = Query(
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..., description="特征信息，格式: id1:type1,id2:type2，type为pipe（管道）或junction（节点）"
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),
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scheme_type: str = Query(None, description="方案类型，若为空则查询实时数据"),
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scheme_name: str = Query(None, description="方案名称，若为空则查询实时数据"),
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timescale_conn: AsyncConnection = Depends(get_timescale_connection),
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):
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"""
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获取link/node模拟值
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根据传入的featureInfos，找到关联的link/node，
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并根据对应的type，查询对应的模拟数据。支持查询实时或方案数据。
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Args:
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start_time: 查询开始时间
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end_time: 查询结束时间
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feature_infos: 格式为 "element_id1:type1,element_id2:type2"
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例如: "P1:pipe,J1:junction"
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scheme_type: 方案类型，若为空则查询实时数据
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scheme_name: 方案名称，若为空则查询实时数据
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timescale_conn: TimescaleDB连接
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Returns:
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管网元素的模拟数据
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Raises:
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HTTPException: 当feature_infos为空返回400错误，未找到数据返回404错误，其他错误返回400错误
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"""
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try:
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feature_infos_list = []
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if feature_infos:
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for item in feature_infos.split(","):
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item = item.strip()
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if ":" in item:
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element_id, element_type = item.split(":", 1)
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feature_infos_list.append(
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(element_id.strip(), element_type.strip())
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)
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if not feature_infos_list:
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raise HTTPException(status_code=400, detail="feature_infos cannot be empty")
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if scheme_type and scheme_name:
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result = await CompositeQueries.get_scheme_simulation_data(
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timescale_conn,
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feature_infos_list,
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start_time,
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end_time,
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scheme_type,
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scheme_name,
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)
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else:
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result = await CompositeQueries.get_realtime_simulation_data(
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timescale_conn,
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feature_infos_list,
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start_time,
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end_time,
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)
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if result is None:
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raise HTTPException(status_code=404, detail="No simulation data found")
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return result
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except ValueError as e:
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raise HTTPException(status_code=400, detail=str(e))
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@router.get("/composite/element-scada", summary="获取管网元素关联的SCADA监测数据",
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tags=["复合查询"])
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async def get_element_associated_scada_data(
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element_id: str = Query(..., description="管网元素ID（管道或节点）"),
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start_time: datetime = Query(..., description="查询开始时间"),
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end_time: datetime = Query(..., description="查询结束时间"),
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use_cleaned: bool = Query(False, description="是否使用清洗后的数据"),
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timescale_conn: AsyncConnection = Depends(get_timescale_connection),
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postgres_conn: AsyncConnection = Depends(get_postgres_connection),
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):
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"""
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获取link/node关联的SCADA监测值
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根据传入的link/node id，匹配SCADA信息，
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如果存在关联的SCADA device_id，获取实际的监测数据。
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Args:
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element_id: 管网元素ID
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start_time: 查询开始时间
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end_time: 查询结束时间
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use_cleaned: 是否使用清洗后的数据，默认为False使用原始数据
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timescale_conn: TimescaleDB连接
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postgres_conn: PostgreSQL连接
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Returns:
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管网元素关联的SCADA监测数据
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Raises:
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HTTPException: 当查询参数无效时返回400错误，未找到关联数据返回404错误
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"""
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try:
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result = await CompositeQueries.get_element_associated_scada_data(
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timescale_conn, postgres_conn, element_id, start_time, end_time, use_cleaned
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)
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if result is None:
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raise HTTPException(
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status_code=404, detail="No associated SCADA data found"
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)
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return result
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except ValueError as e:
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raise HTTPException(status_code=400, detail=str(e))
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@router.post("/composite/clean-scada", summary="清洗SCADA监测数据",
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tags=["复合查询"])
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async def clean_scada_data(
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device_ids: str = Query(..., description="设备ID列表或 'all' 表示清洗所有设备"),
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start_time: datetime = Query(..., description="清洗数据的开始时间"),
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end_time: datetime = Query(..., description="清洗数据的结束时间"),
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timescale_conn: AsyncConnection = Depends(get_timescale_connection),
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postgres_conn: AsyncConnection = Depends(get_postgres_connection),
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):
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"""
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清洗SCADA监测数据
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根据device_ids查询monitored_value，清洗后更新cleaned_value。
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支持清洗指定设备或所有设备的数据。
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Args:
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device_ids: 设备ID列表，用逗号分隔，或 'all' 表示清洗所有设备
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start_time: 清洗数据的开始时间
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end_time: 清洗数据的结束时间
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timescale_conn: TimescaleDB连接
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postgres_conn: PostgreSQL连接
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Returns:
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清洗结果信息
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Raises:
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HTTPException: 当清洗过程出现错误时返回400错误
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"""
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try:
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if device_ids == "all":
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device_ids_list = []
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else:
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device_ids_list = (
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[id.strip() for id in device_ids.split(",") if id.strip()]
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if device_ids
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else []
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)
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return await CompositeQueries.clean_scada_data(
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timescale_conn, postgres_conn, device_ids_list, start_time, end_time
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)
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except ValueError as e:
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raise HTTPException(status_code=400, detail=str(e))
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@router.get("/composite/pipeline-health-prediction", summary="预测管道健康状况",
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tags=["复合查询"])
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async def predict_pipeline_health(
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query_time: datetime = Query(..., description="查询时间"),
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network_name: str = Query(..., description="管网名称（或数据库名称）"),
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timescale_conn: AsyncConnection = Depends(get_timescale_connection),
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):
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"""
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预测管道健康状况
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根据管网名称和当前时间，查询管道信息和实时数据，
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使用随机生存森林模型预测管道的生存概率。
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Args:
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query_time: 查询时间
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network_name: 管网名称（或数据库名称）
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timescale_conn: TimescaleDB连接
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Returns:
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预测结果列表，每个元素包含 link_id 和对应的生存函数
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Raises:
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HTTPException: 当模型文件不存在返回404错误，其他错误返回400或500错误
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"""
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try:
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return await CompositeQueries.predict_pipeline_health(
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timescale_conn, network_name, query_time
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)
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except ValueError as e:
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raise HTTPException(status_code=400, detail=str(e))
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except FileNotFoundError as e:
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raise HTTPException(status_code=404, detail=str(e))
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"内部服务器错误: {str(e)}")
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