删除发版无关的文件

app/api/v1/endpoints/simulation.py

@@ -4,10 +4,8 @@ import json
 import os
 import shutil
 import threading
-import pandas as pd
 from fastapi import APIRouter, HTTPException, File, UploadFile, Query
 from fastapi.responses import PlainTextResponse
-import app.infra.db.influxdb.api as influxdb_api
 import app.services.simulation as simulation
 import app.services.globals as globals
 from app.infra.cache.redis_client import redis_client
@@ -30,8 +28,6 @@ from app.algorithms.sensor import (
     pressure_sensor_placement_sensitivity,
     pressure_sensor_placement_kmeans,
 )
-import app.algorithms.cleaning.flow as flow_data_clean
-import app.algorithms.cleaning.pressure as pressure_data_clean
 from app.services.network_import import network_update
 from app.services.simulation_ops import (
     project_management,
@@ -573,63 +569,6 @@ async def fastapi_pressure_sensor_placement(
     return "success"
 
 
-@router.post("/scadadevicedatacleaning/")
-async def fastapi_scada_device_data_cleaning(
-    network: str = Query(...),
-    ids_list: List[str] = Query(...),
-    start_time: str = Query(...),
-    end_time: str = Query(...),
-    user_name: str = Query(...),
-) -> str:
-    item = {
-        "network": network,
-        "ids": ids_list,
-        "start_time": start_time,
-        "end_time": end_time,
-        "user_name": user_name,
-    }
-    query_ids_list = item["ids"][0].split(",")
-    scada_data = influxdb_api.query_SCADA_data_by_device_ID_and_timerange(
-        query_ids_list=query_ids_list,
-        start_time=item["start_time"],
-        end_time=item["end_time"],
-    )
-    scada_device_info = influxdb_api.query_pg_scada_info(item["network"])
-    scada_device_info_dict = {info["id"]: info for info in scada_device_info}
-    type_groups: dict[str, list[str]] = {}
-    for device_id in query_ids_list:
-        device_info = scada_device_info_dict.get(device_id, {})
-        device_type = device_info.get("type", "unknown")
-        type_groups.setdefault(device_type, []).append(device_id)
-    for device_type, device_ids in type_groups.items():
-        if device_type not in ["pressure", "pipe_flow"]:
-            continue
-        type_scada_data = {
-            device_id: scada_data[device_id]
-            for device_id in device_ids
-            if device_id in scada_data
-        }
-        if not type_scada_data:
-            continue
-        time_list = [record["time"] for record in next(iter(type_scada_data.values()))]
-        df = pd.DataFrame({"time": time_list})
-        for device_id in device_ids:
-            if device_id in type_scada_data:
-                values = [record["value"] for record in type_scada_data[device_id]]
-                df[device_id] = values
-        if device_type == "pressure":
-            cleaned_value_df = pressure_data_clean.clean_pressure_data_df_km(df)
-        elif device_type == "pipe_flow":
-            cleaned_value_df = flow_data_clean.clean_flow_data_df_kf(df)
-        cleaned_value_df = pd.DataFrame(cleaned_value_df)
-        cleaned_df = pd.concat([df["time"], cleaned_value_df], axis=1)
-        influxdb_api.import_multicolumn_data_from_dict(
-            data_dict=cleaned_df.to_dict("list"),
-            raw=False,
-        )
-    return "success"
-
-
 @router.post("/runsimulationmanuallybydate/")
 async def fastapi_run_simulation_manually_by_date(
     data: RunSimulationManuallyByDate,