refactor(db)!: adopt project-routed pooled databases
Reorganize WNDB by responsibility and remove legacy scheme endpoints.\n\nRoute analysis and time-series access through project pools, preserve transactional realtime replacement, and refresh GIS materialized views after writes.\n\nAdd database architecture documentation, live pooling coverage, API contract updates, and executable container verification.\n\nBREAKING CHANGE: legacy scheme APIs and flat app.native.wndb module imports are removed.
This commit is contained in:
@@ -0,0 +1,82 @@
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from datetime import datetime
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from uuid import UUID
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from fastapi import APIRouter, Body, Depends, HTTPException, Path, Query
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from psycopg import AsyncConnection
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from app.infra.db.timescaledb.repositories.analysis import AnalysisResultsRepository
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from .dependencies import get_timescale_connection
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router = APIRouter()
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@router.post("/timeseries/analysis/runs/{run_id}/results", status_code=201)
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async def store_analysis_results(
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run_id: UUID = Path(..., description="分析运行 ID"),
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payload: dict = Body(...),
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conn: AsyncConnection = Depends(get_timescale_connection),
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):
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try:
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node_rows = payload.get("node_results", [])
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link_rows = payload.get("link_results", [])
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await AnalysisResultsRepository.store_results(
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conn, run_id, node_rows, link_rows
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)
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return {
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"run_id": run_id,
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"node_count": len(node_rows),
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"link_count": len(link_rows),
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}
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except ValueError as exc:
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raise HTTPException(status_code=409, detail=str(exc)) from exc
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@router.get("/timeseries/analysis/runs/{run_id}/nodes/{node_id}")
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async def get_analysis_node_series(
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run_id: UUID,
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node_id: str,
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start_time: datetime = Query(...),
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end_time: datetime = Query(...),
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field: str = Query(...),
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conn: AsyncConnection = Depends(get_timescale_connection),
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):
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try:
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return await AnalysisResultsRepository.get_node_series(
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conn, run_id, node_id, start_time, end_time, field
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)
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except ValueError as exc:
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raise HTTPException(status_code=400, detail=str(exc)) from exc
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@router.get("/timeseries/analysis/runs/{run_id}/links/{link_id}")
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async def get_analysis_link_series(
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run_id: UUID,
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link_id: str,
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start_time: datetime = Query(...),
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end_time: datetime = Query(...),
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field: str = Query(...),
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conn: AsyncConnection = Depends(get_timescale_connection),
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):
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try:
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return await AnalysisResultsRepository.get_link_series(
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conn, run_id, link_id, start_time, end_time, field
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)
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except ValueError as exc:
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raise HTTPException(status_code=400, detail=str(exc)) from exc
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@router.get("/timeseries/analysis/runs/{run_id}/values")
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async def get_analysis_values_at_time(
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run_id: UUID,
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result_time: datetime = Query(...),
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element_type: str = Query(..., pattern="^(node|link)$"),
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field: str = Query(...),
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conn: AsyncConnection = Depends(get_timescale_connection),
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):
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try:
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return await AnalysisResultsRepository.get_values_at_time(
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conn, run_id, element_type, result_time, field
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)
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except ValueError as exc:
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raise HTTPException(status_code=400, detail=str(exc)) from exc
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@@ -1,6 +1,7 @@
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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 uuid import UUID
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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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@@ -13,8 +14,7 @@ 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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run_id: UUID | None = Query(None, description="分析运行 ID；为空时查询实时数据"),
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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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@@ -22,14 +22,13 @@ async def get_scada_associated_simulation_data(
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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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并根据对应的type，查询对应的模拟数据。支持查询实时或分析运行数据。
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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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run_id: 分析运行 ID，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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@@ -46,15 +45,14 @@ async def get_scada_associated_simulation_data(
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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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if run_id is not None:
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result = await CompositeQueries.get_scada_associated_analysis_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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run_id,
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)
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else:
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result = (
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@@ -80,23 +78,21 @@ async def get_feature_simulation_data(
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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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run_id: UUID | None = Query(None, description="分析运行 ID；为空时查询实时数据"),
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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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并根据对应的type，查询对应的模拟数据。支持查询实时或分析运行数据。
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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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run_id: 分析运行 ID，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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@@ -119,14 +115,13 @@ async def get_feature_simulation_data(
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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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if run_id is not None:
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result = await CompositeQueries.get_analysis_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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run_id,
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)
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else:
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result = await CompositeQueries.get_realtime_simulation_data(
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@@ -1,391 +0,0 @@
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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.scheme import SchemeRepository
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from .dependencies import get_timescale_connection
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router = APIRouter()
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@router.post("/timeseries/schemes/links/batches", status_code=201, summary="批量插入方案管道数据")
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async def insert_scheme_links(
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data: List[dict] = Body(..., description="方案管道数据列表"),
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conn: AsyncConnection = Depends(get_timescale_connection),
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):
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"""
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批量插入方案管道数据
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将特定方案的管道模拟数据批量插入时间序列数据库。
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Args:
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data: 方案管道数据列表
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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 SchemeRepository.insert_links_batch(conn, data)
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return {"message": f"Inserted {len(data)} records"}
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@router.get("/timeseries/schemes/links", summary="查询方案管道数据")
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async def get_scheme_links(
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scheme_type: str = Query(..., description="方案类型"),
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scheme_name: str = Query(..., description="方案名称"),
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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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查询指定方案和时间范围内的管道数据
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根据方案和时间范围查询管道的模拟值。
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Args:
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scheme_type: 方案类型
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scheme_name: 方案名称
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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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方案管道数据列表
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"""
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return await SchemeRepository.get_links_by_scheme_and_time_range(
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conn, scheme_type, scheme_name, start_time, end_time
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)
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@router.get("/timeseries/schemes/links/{link_id}/field", summary="查询方案管道字段数据")
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async def get_scheme_link_field(
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link_id: str = Path(..., description="管道ID"),
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scheme_type: str = Query(..., description="方案类型"),
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scheme_name: str = Query(..., description="方案名称"),
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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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field: str = Query(..., description="要查询的字段名称"),
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conn: AsyncConnection = Depends(get_timescale_connection),
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):
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"""
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查询指定方案管道的特定字段数据
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查询特定方案中指定管道在时间范围内的特定字段值。
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Args:
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link_id: 管道ID
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scheme_type: 方案类型
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scheme_name: 方案名称
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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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field: 字段名称
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Returns:
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字段数据列表
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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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return await SchemeRepository.get_link_field_by_scheme_and_time_range(
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conn, scheme_type, scheme_name, start_time, end_time, link_id, field
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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.patch("/timeseries/schemes/links/{link_id}/field", summary="更新方案管道字段")
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async def update_scheme_link_field(
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link_id: str = Path(..., description="管道ID"),
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scheme_type: str = Query(..., description="方案类型"),
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scheme_name: str = Query(..., description="方案名称"),
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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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更新指定方案管道的字段值
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更新特定方案中指定管道在某个时间的字段数据。
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Args:
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link_id: 管道ID
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scheme_type: 方案类型
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scheme_name: 方案名称
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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 SchemeRepository.update_link_field(
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conn, time, scheme_type, scheme_name, link_id, field, value
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)
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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.delete("/timeseries/schemes/links", summary="删除方案管道数据")
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async def delete_scheme_links(
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scheme_type: str = Query(..., description="方案类型"),
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scheme_name: str = Query(..., description="方案名称"),
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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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删除指定方案和时间范围内的管道数据
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删除在指定方案和时间范围内的所有管道模拟数据。
|
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Args:
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scheme_type: 方案类型
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scheme_name: 方案名称
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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 SchemeRepository.delete_links_by_scheme_and_time_range(
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conn, scheme_type, scheme_name, start_time, end_time
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)
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return {"message": "Deleted successfully"}
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|
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@router.post("/timeseries/schemes/nodes/batches", status_code=201, summary="批量插入方案节点数据")
|
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async def insert_scheme_nodes(
|
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data: List[dict] = Body(..., description="方案节点数据列表"),
|
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conn: AsyncConnection = Depends(get_timescale_connection),
|
||||
):
|
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"""
|
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批量插入方案节点数据
|
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|
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将特定方案的节点模拟数据批量插入时间序列数据库。
|
||||
|
||||
Args:
|
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data: 方案节点数据列表
|
||||
|
||||
Returns:
|
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插入成功的记录数
|
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"""
|
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await SchemeRepository.insert_nodes_batch(conn, data)
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return {"message": f"Inserted {len(data)} records"}
|
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|
||||
|
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@router.get("/timeseries/schemes/nodes/{node_id}/field", summary="查询方案节点字段数据")
|
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async def get_scheme_node_field(
|
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node_id: str = Path(..., description="节点ID"),
|
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scheme_type: str = Query(..., description="方案类型"),
|
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scheme_name: str = Query(..., description="方案名称"),
|
||||
start_time: datetime = Query(..., description="查询开始时间"),
|
||||
end_time: datetime = Query(..., description="查询结束时间"),
|
||||
field: str = Query(..., description="要查询的字段名称"),
|
||||
conn: AsyncConnection = Depends(get_timescale_connection),
|
||||
):
|
||||
"""
|
||||
查询指定方案节点的特定字段数据
|
||||
|
||||
查询特定方案中指定节点在时间范围内的特定字段值。
|
||||
|
||||
Args:
|
||||
node_id: 节点ID
|
||||
scheme_type: 方案类型
|
||||
scheme_name: 方案名称
|
||||
start_time: 查询开始时间
|
||||
end_time: 查询结束时间
|
||||
field: 字段名称
|
||||
|
||||
Returns:
|
||||
字段数据列表
|
||||
|
||||
Raises:
|
||||
HTTPException: 当查询参数无效时返回400错误
|
||||
"""
|
||||
try:
|
||||
return await SchemeRepository.get_node_field_by_scheme_and_time_range(
|
||||
conn, scheme_type, scheme_name, start_time, end_time, node_id, field
|
||||
)
|
||||
except ValueError as e:
|
||||
raise HTTPException(status_code=400, detail=str(e))
|
||||
|
||||
|
||||
@router.patch("/timeseries/schemes/nodes/{node_id}/field", summary="更新方案节点字段")
|
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async def update_scheme_node_field(
|
||||
node_id: str = Path(..., description="节点ID"),
|
||||
scheme_type: str = Query(..., description="方案类型"),
|
||||
scheme_name: str = Query(..., description="方案名称"),
|
||||
time: datetime = Query(..., description="更新数据的时间戳"),
|
||||
field: str = Query(..., description="要更新的字段名称"),
|
||||
value: float = Query(..., description="更新的字段值"),
|
||||
conn: AsyncConnection = Depends(get_timescale_connection),
|
||||
):
|
||||
"""
|
||||
更新指定方案节点的字段值
|
||||
|
||||
更新特定方案中指定节点在某个时间的字段数据。
|
||||
|
||||
Args:
|
||||
node_id: 节点ID
|
||||
scheme_type: 方案类型
|
||||
scheme_name: 方案名称
|
||||
time: 数据时间戳
|
||||
field: 字段名称
|
||||
value: 字段新值
|
||||
|
||||
Returns:
|
||||
更新结果信息
|
||||
|
||||
Raises:
|
||||
HTTPException: 当字段不存在或更新失败时返回400错误
|
||||
"""
|
||||
try:
|
||||
await SchemeRepository.update_node_field(
|
||||
conn, time, scheme_type, scheme_name, node_id, field, value
|
||||
)
|
||||
return {"message": "Updated successfully"}
|
||||
except ValueError as e:
|
||||
raise HTTPException(status_code=400, detail=str(e))
|
||||
|
||||
|
||||
@router.delete("/timeseries/schemes/nodes", summary="删除方案节点数据")
|
||||
async def delete_scheme_nodes(
|
||||
scheme_type: str = Query(..., description="方案类型"),
|
||||
scheme_name: str = Query(..., description="方案名称"),
|
||||
start_time: datetime = Query(..., description="删除开始时间"),
|
||||
end_time: datetime = Query(..., description="删除结束时间"),
|
||||
conn: AsyncConnection = Depends(get_timescale_connection),
|
||||
):
|
||||
"""
|
||||
删除指定方案和时间范围内的节点数据
|
||||
|
||||
删除在指定方案和时间范围内的所有节点模拟数据。
|
||||
|
||||
Args:
|
||||
scheme_type: 方案类型
|
||||
scheme_name: 方案名称
|
||||
start_time: 删除开始时间
|
||||
end_time: 删除结束时间
|
||||
|
||||
Returns:
|
||||
删除结果信息
|
||||
"""
|
||||
await SchemeRepository.delete_nodes_by_scheme_and_time_range(
|
||||
conn, scheme_type, scheme_name, start_time, end_time
|
||||
)
|
||||
return {"message": "Deleted successfully"}
|
||||
|
||||
|
||||
@router.post("/timeseries/schemes/simulation-results", status_code=201, summary="存储方案模拟结果")
|
||||
async def store_scheme_simulation_result(
|
||||
scheme_type: str = Query(..., description="方案类型"),
|
||||
scheme_name: str = Query(..., description="方案名称"),
|
||||
node_result_list: List[dict] = Body(..., description="节点模拟结果列表"),
|
||||
link_result_list: List[dict] = Body(..., description="管道模拟结果列表"),
|
||||
result_start_time: str = Query(..., description="模拟结果开始时间"),
|
||||
conn: AsyncConnection = Depends(get_timescale_connection),
|
||||
):
|
||||
"""
|
||||
存储方案模拟结果到时间序列数据库
|
||||
|
||||
将特定方案的节点和管道模拟计算结果批量存储到TimescaleDB数据库。
|
||||
|
||||
Args:
|
||||
scheme_type: 方案类型
|
||||
scheme_name: 方案名称
|
||||
node_result_list: 节点模拟结果列表
|
||||
link_result_list: 管道模拟结果列表
|
||||
result_start_time: 模拟结果对应的起始时间
|
||||
|
||||
Returns:
|
||||
存储结果信息
|
||||
"""
|
||||
await SchemeRepository.store_scheme_simulation_result(
|
||||
conn,
|
||||
scheme_type,
|
||||
scheme_name,
|
||||
node_result_list,
|
||||
link_result_list,
|
||||
result_start_time,
|
||||
)
|
||||
return {"message": "Scheme simulation results stored successfully"}
|
||||
|
||||
|
||||
@router.get(
|
||||
"/timeseries/schemes/records", summary="按方案、时间和属性查询数据"
|
||||
)
|
||||
async def query_scheme_records_by_scheme_time_property(
|
||||
scheme_type: str = Query(..., description="方案类型"),
|
||||
scheme_name: str = Query(..., description="方案名称"),
|
||||
query_time: str = Query(..., description="查询时间"),
|
||||
type: str = Query(..., description="元素类型，pipe（管道）或 junction（节点）"),
|
||||
property: str = Query(..., description="要查询的属性名称"),
|
||||
conn: AsyncConnection = Depends(get_timescale_connection),
|
||||
):
|
||||
"""
|
||||
按指定方案、时间和属性查询所有方案数据
|
||||
|
||||
查询在特定方案和时间点，所有指定类型元素的特定属性值。
|
||||
|
||||
Args:
|
||||
scheme_type: 方案类型
|
||||
scheme_name: 方案名称
|
||||
query_time: 查询时间
|
||||
type: 元素类型（pipe或junction）
|
||||
property: 属性名称
|
||||
|
||||
Returns:
|
||||
查询结果列表
|
||||
|
||||
Raises:
|
||||
HTTPException: 当查询参数无效时返回400错误
|
||||
"""
|
||||
try:
|
||||
results = await SchemeRepository.query_all_record_by_scheme_time_property(
|
||||
conn, scheme_type, scheme_name, query_time, type, property
|
||||
)
|
||||
return {"results": results}
|
||||
except ValueError as e:
|
||||
raise HTTPException(status_code=400, detail=str(e))
|
||||
|
||||
|
||||
@router.get("/timeseries/schemes/simulation-results", summary="按ID和时间查询方案模拟数据")
|
||||
async def query_scheme_simulation_by_id_time(
|
||||
scheme_type: str = Query(..., description="方案类型"),
|
||||
scheme_name: str = Query(..., description="方案名称"),
|
||||
id: str = Query(..., description="元素ID（管道ID或节点ID）"),
|
||||
type: str = Query(..., description="元素类型，pipe（管道）或 junction（节点）"),
|
||||
query_time: str = Query(..., description="查询时间"),
|
||||
conn: AsyncConnection = Depends(get_timescale_connection),
|
||||
):
|
||||
"""
|
||||
按指定ID和时间查询方案模拟结果
|
||||
|
||||
查询特定方案中的元素在某一时间点的模拟数据。
|
||||
|
||||
Args:
|
||||
scheme_type: 方案类型
|
||||
scheme_name: 方案名称
|
||||
id: 元素ID
|
||||
type: 元素类型（pipe或junction）
|
||||
query_time: 查询时间
|
||||
|
||||
Returns:
|
||||
模拟结果数据
|
||||
|
||||
Raises:
|
||||
HTTPException: 当查询参数无效时返回400错误
|
||||
"""
|
||||
try:
|
||||
result = await SchemeRepository.query_scheme_simulation_result_by_id_time(
|
||||
conn, scheme_type, scheme_name, id, type, query_time
|
||||
)
|
||||
return {"result": result}
|
||||
except ValueError as e:
|
||||
raise HTTPException(status_code=400, detail=str(e))
|
||||
Reference in New Issue
Block a user