优化API文档,添加参数描述和示例

This commit is contained in:
2026-03-13 15:17:06 +08:00
parent 9a8d851275
commit b513d05611
38 changed files with 5846 additions and 1224 deletions
+176 -37
View File
@@ -1,4 +1,4 @@
from fastapi import APIRouter, Depends, HTTPException
from fastapi import APIRouter, Depends, HTTPException, Query, Path, Body
from typing import List
from datetime import datetime
from psycopg import AsyncConnection
@@ -9,41 +9,96 @@ from .dependencies import get_timescale_connection
router = APIRouter()
@router.post("/realtime/links/batch", status_code=201)
@router.post("/realtime/links/batch", status_code=201, summary="批量插入实时管道数据",
tags=["时间序列-实时数据"])
async def insert_realtime_links(
data: List[dict], conn: AsyncConnection = Depends(get_timescale_connection)
data: List[dict] = Body(..., description="管道数据列表,每项包含管道ID、时间戳等信息"),
conn: AsyncConnection = Depends(get_timescale_connection)
):
"""
批量插入实时管道数据
将管道的实时监测数据批量插入时间序列数据库。
Args:
data: 管道数据列表
Returns:
插入成功的记录数
"""
await RealtimeRepository.insert_links_batch(conn, data)
return {"message": f"Inserted {len(data)} records"}
@router.get("/realtime/links")
@router.get("/realtime/links", summary="查询实时管道数据", tags=["时间序列-实时数据"])
async def get_realtime_links(
start_time: datetime,
end_time: datetime,
start_time: datetime = Query(..., description="查询开始时间"),
end_time: datetime = Query(..., description="查询结束时间"),
conn: AsyncConnection = Depends(get_timescale_connection),
):
"""
查询指定时间范围内的实时管道数据
根据时间范围查询所有实时管道的监测值。
Args:
start_time: 查询开始时间
end_time: 查询结束时间
Returns:
实时管道数据列表
"""
return await RealtimeRepository.get_links_by_time_range(conn, start_time, end_time)
@router.delete("/realtime/links")
@router.delete("/realtime/links", summary="删除实时管道数据", tags=["时间序列-实时数据"])
async def delete_realtime_links(
start_time: datetime,
end_time: datetime,
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),
):
"""
删除指定时间范围内的实时管道数据
删除在指定时间范围内的所有实时管道监测数据。
Args:
start_time: 删除开始时间
end_time: 删除结束时间
Returns:
删除结果信息
"""
await RealtimeRepository.delete_links_by_time_range(conn, start_time, end_time)
return {"message": "Deleted successfully"}
@router.patch("/realtime/links/{link_id}/field")
@router.patch("/realtime/links/{link_id}/field", summary="更新实时管道字段",
tags=["时间序列-实时数据"])
async def update_realtime_link_field(
link_id: str,
time: datetime,
field: str,
value: float,
link_id: str = Path(..., description="管道ID"),
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),
):
"""
更新指定管道的字段值
更新实时管道在特定时间的某个字段数据。
Args:
link_id: 管道ID
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 RealtimeRepository.update_link_field(conn, time, link_id, field, value)
return {"message": "Updated successfully"}
@@ -51,55 +106,123 @@ async def update_realtime_link_field(
raise HTTPException(status_code=400, detail=str(e))
@router.post("/realtime/nodes/batch", status_code=201)
@router.post("/realtime/nodes/batch", status_code=201, summary="批量插入实时节点数据",
tags=["时间序列-实时数据"])
async def insert_realtime_nodes(
data: List[dict], conn: AsyncConnection = Depends(get_timescale_connection)
data: List[dict] = Body(..., description="节点数据列表,每项包含节点ID、时间戳等信息"),
conn: AsyncConnection = Depends(get_timescale_connection)
):
"""
批量插入实时节点数据
将节点的实时监测数据批量插入时间序列数据库。
Args:
data: 节点数据列表
Returns:
插入成功的记录数
"""
await RealtimeRepository.insert_nodes_batch(conn, data)
return {"message": f"Inserted {len(data)} records"}
@router.get("/realtime/nodes")
@router.get("/realtime/nodes", summary="查询实时节点数据", tags=["时间序列-实时数据"])
async def get_realtime_nodes(
start_time: datetime,
end_time: datetime,
start_time: datetime = Query(..., description="查询开始时间"),
end_time: datetime = Query(..., description="查询结束时间"),
conn: AsyncConnection = Depends(get_timescale_connection),
):
"""
查询指定时间范围内的实时节点数据
根据时间范围查询所有实时节点的监测值。
Args:
start_time: 查询开始时间
end_time: 查询结束时间
Returns:
实时节点数据列表
"""
return await RealtimeRepository.get_nodes_by_time_range(conn, start_time, end_time)
@router.delete("/realtime/nodes")
@router.delete("/realtime/nodes", summary="删除实时节点数据", tags=["时间序列-实时数据"])
async def delete_realtime_nodes(
start_time: datetime,
end_time: datetime,
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),
):
"""
删除指定时间范围内的实时节点数据
删除在指定时间范围内的所有实时节点监测数据。
Args:
start_time: 删除开始时间
end_time: 删除结束时间
Returns:
删除结果信息
"""
await RealtimeRepository.delete_nodes_by_time_range(conn, start_time, end_time)
return {"message": "Deleted successfully"}
@router.post("/realtime/simulation/store", status_code=201)
@router.post("/realtime/simulation/store", status_code=201, summary="存储实时模拟结果",
tags=["时间序列-实时数据"])
async def store_realtime_simulation_result(
node_result_list: List[dict],
link_result_list: List[dict],
result_start_time: str,
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),
):
"""Store realtime simulation results to TimescaleDB"""
"""
存储实时模拟结果到时间序列数据库
将节点和管道的实时模拟计算结果批量存储到TimescaleDB数据库。
Args:
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 RealtimeRepository.store_realtime_simulation_result(
conn, node_result_list, link_result_list, result_start_time
)
return {"message": "Simulation results stored successfully"}
@router.get("/realtime/query/by-time-property")
@router.get("/realtime/query/by-time-property", summary="按时间和属性查询实时数据",
tags=["时间序列-实时数据"])
async def query_realtime_records_by_time_property(
query_time: str,
type: str,
property: str,
query_time: str = Query(..., description="查询时间"),
type: str = Query(..., description="数据类型,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),
):
"""Query all realtime records by time and property"""
"""
按指定时间和属性查询所有实时监测数据
查询在特定时间点,所有指定类型元素的特定属性值。
Args:
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 RealtimeRepository.query_all_record_by_time_property(
conn, query_time, type, property
@@ -109,14 +232,30 @@ async def query_realtime_records_by_time_property(
raise HTTPException(status_code=400, detail=str(e))
@router.get("/realtime/query/by-id-time")
@router.get("/realtime/query/by-id-time", summary="按ID和时间查询实时模拟数据",
tags=["时间序列-实时数据"])
async def query_realtime_simulation_by_id_time(
id: str,
type: str,
query_time: str,
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),
):
"""Query realtime simulation results by id and time"""
"""
按指定ID和时间查询实时模拟结果
查询特定元素在某一时间点的实时模拟数据。
Args:
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:
results = await RealtimeRepository.query_simulation_result_by_id_time(
conn, id, type, query_time