260 lines
8.6 KiB
Python
260 lines
8.6 KiB
Python
from fastapi import APIRouter, Depends, HTTPException, Query, Path, Body
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from typing import List
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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.repositories.realtime import RealtimeRepository
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from .dependencies import get_timescale_connection
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router = APIRouter()
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@router.post("/realtime/links/batch", status_code=201, summary="批量插入实时管道数据")
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async def insert_realtime_links(
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data: List[dict] = Body(..., description="管道数据列表，每项包含管道ID、时间戳等信息"),
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conn: AsyncConnection = Depends(get_timescale_connection)
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):
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"""
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批量插入实时管道数据
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将管道的实时监测数据批量插入时间序列数据库。
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Args:
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data: 管道数据列表
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Returns:
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插入成功的记录数
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"""
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await RealtimeRepository.insert_links_batch(conn, data)
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return {"message": f"Inserted {len(data)} records"}
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@router.get("/realtime/links", summary="查询实时管道数据")
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async def get_realtime_links(
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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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conn: AsyncConnection = Depends(get_timescale_connection),
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):
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"""
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查询指定时间范围内的实时管道数据
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根据时间范围查询所有实时管道的监测值。
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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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Returns:
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实时管道数据列表
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"""
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return await RealtimeRepository.get_links_by_time_range(conn, start_time, end_time)
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@router.delete("/realtime/links", summary="删除实时管道数据")
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async def delete_realtime_links(
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start_time: datetime = Query(..., description="删除开始时间"),
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end_time: datetime = Query(..., description="删除结束时间"),
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conn: AsyncConnection = Depends(get_timescale_connection),
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):
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"""
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删除指定时间范围内的实时管道数据
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删除在指定时间范围内的所有实时管道监测数据。
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Args:
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start_time: 删除开始时间
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end_time: 删除结束时间
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Returns:
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删除结果信息
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"""
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await RealtimeRepository.delete_links_by_time_range(conn, start_time, end_time)
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return {"message": "Deleted successfully"}
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@router.patch("/realtime/links/{link_id}/field", summary="更新实时管道字段")
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async def update_realtime_link_field(
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link_id: str = Path(..., description="管道ID"),
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time: datetime = Query(..., description="更新数据的时间戳"),
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field: str = Query(..., description="要更新的字段名称"),
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value: float = Query(..., description="更新的字段值"),
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conn: AsyncConnection = Depends(get_timescale_connection),
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):
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"""
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更新指定管道的字段值
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更新实时管道在特定时间的某个字段数据。
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Args:
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link_id: 管道ID
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time: 数据时间戳
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field: 字段名称
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value: 字段新值
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Returns:
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更新结果信息
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Raises:
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HTTPException: 当字段不存在或更新失败时返回400错误
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"""
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try:
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await RealtimeRepository.update_link_field(conn, time, link_id, field, value)
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return {"message": "Updated successfully"}
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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("/realtime/nodes/batch", status_code=201, summary="批量插入实时节点数据")
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async def insert_realtime_nodes(
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data: List[dict] = Body(..., description="节点数据列表，每项包含节点ID、时间戳等信息"),
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conn: AsyncConnection = Depends(get_timescale_connection)
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):
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"""
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批量插入实时节点数据
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将节点的实时监测数据批量插入时间序列数据库。
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Args:
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data: 节点数据列表
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Returns:
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插入成功的记录数
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"""
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await RealtimeRepository.insert_nodes_batch(conn, data)
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return {"message": f"Inserted {len(data)} records"}
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@router.get("/realtime/nodes", summary="查询实时节点数据")
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async def get_realtime_nodes(
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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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conn: AsyncConnection = Depends(get_timescale_connection),
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):
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"""
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查询指定时间范围内的实时节点数据
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根据时间范围查询所有实时节点的监测值。
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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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Returns:
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实时节点数据列表
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"""
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return await RealtimeRepository.get_nodes_by_time_range(conn, start_time, end_time)
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@router.delete("/realtime/nodes", summary="删除实时节点数据")
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async def delete_realtime_nodes(
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start_time: datetime = Query(..., description="删除开始时间"),
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end_time: datetime = Query(..., description="删除结束时间"),
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conn: AsyncConnection = Depends(get_timescale_connection),
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):
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"""
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删除指定时间范围内的实时节点数据
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删除在指定时间范围内的所有实时节点监测数据。
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Args:
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start_time: 删除开始时间
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end_time: 删除结束时间
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Returns:
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删除结果信息
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"""
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await RealtimeRepository.delete_nodes_by_time_range(conn, start_time, end_time)
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return {"message": "Deleted successfully"}
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@router.post("/realtime/simulation/store", status_code=201, summary="存储实时模拟结果")
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async def store_realtime_simulation_result(
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node_result_list: List[dict] = Body(..., description="节点模拟结果列表"),
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link_result_list: List[dict] = Body(..., description="管道模拟结果列表"),
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result_start_time: str = Query(..., description="模拟结果开始时间"),
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conn: AsyncConnection = Depends(get_timescale_connection),
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):
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"""
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存储实时模拟结果到时间序列数据库
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将节点和管道的实时模拟计算结果批量存储到TimescaleDB数据库。
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Args:
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node_result_list: 节点模拟结果列表
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link_result_list: 管道模拟结果列表
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result_start_time: 模拟结果对应的起始时间
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Returns:
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存储结果信息
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"""
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await RealtimeRepository.store_realtime_simulation_result(
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conn, node_result_list, link_result_list, result_start_time
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)
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return {"message": "Simulation results stored successfully"}
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@router.get("/realtime/query/by-time-property", summary="按时间和属性查询实时数据")
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async def query_realtime_records_by_time_property(
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query_time: str = Query(..., description="查询时间"),
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type: str = Query(..., description="数据类型，pipe（管道）或 junction（节点）"),
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property: str = Query(..., description="要查询的属性名称"),
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conn: AsyncConnection = Depends(get_timescale_connection),
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):
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"""
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按指定时间和属性查询所有实时监测数据
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查询在特定时间点，所有指定类型元素的特定属性值。
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Args:
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query_time: 查询时间
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type: 元素类型（pipe或junction）
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property: 属性名称
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Returns:
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查询结果列表
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Raises:
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HTTPException: 当查询参数无效时返回400错误
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"""
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try:
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results = await RealtimeRepository.query_all_record_by_time_property(
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conn, query_time, type, property
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)
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return {"results": results}
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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("/realtime/query/by-id-time", summary="按ID和时间查询实时模拟数据")
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async def query_realtime_simulation_by_id_time(
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id: str = Query(..., description="元素ID（管道ID或节点ID）"),
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type: str = Query(..., description="元素类型，pipe（管道）或 junction（节点）"),
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query_time: str = Query(..., description="查询时间"),
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conn: AsyncConnection = Depends(get_timescale_connection),
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):
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"""
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按指定ID和时间查询实时模拟结果
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查询特定元素在某一时间点的实时模拟数据。
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Args:
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id: 元素ID
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type: 元素类型（pipe或junction）
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query_time: 查询时间
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Returns:
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模拟结果数据
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Raises:
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HTTPException: 当查询参数无效时返回400错误
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"""
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try:
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results = await RealtimeRepository.query_simulation_result_by_id_time(
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conn, id, type, query_time
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)
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return {"result": results}
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except ValueError as e:
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raise HTTPException(status_code=400, detail=str(e))
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