暂存文件的引用修复

app/algorithms/online_Analysis.py

@@ -1,9 +1,9 @@
 import os
 from app.services.tjnetwork import *
 from app.native.api.project import copy_project
-from run_simulation import run_simulation_ex, from_clock_to_seconds_2
+from app.algorithms.api_ex.run_simulation import run_simulation_ex, from_clock_to_seconds_2
 from math import sqrt, pi
-from epanet.epanet import Output
+from app.services.epanet.epanet import Output
 import json
 from datetime import datetime
 import time
@@ -17,11 +17,11 @@ import app.services.simulation as simulation
 import geopandas as gpd
 from sqlalchemy import create_engine
 import ast
-import sensitivity
 import app.services.project_info as project_info
-import app.algorithms.api_ex.kmeans_sensor
-import app.algorithms.api_ex.Fdataclean
-import app.algorithms.api_ex.Pdataclean
+import app.algorithms.api_ex.kmeans_sensor as kmeans_sensor
+import app.algorithms.api_ex.Fdataclean as Fdataclean
+import app.algorithms.api_ex.Pdataclean as Pdataclean
+import app.algorithms.api_ex.sensitivity as sensitivity
 from app.native.api.postgresql_info import get_pgconn_string
 
 
@@ -1425,7 +1425,7 @@ def pressure_sensor_placement_kmeans(
     # dump_inp
     inp_name = f"./db_inp/{name}.db.inp"
     dump_inp(name, inp_name, "2")
-    sensor_location = api_ex.kmeans_sensor.kmeans_sensor_placement(
+    sensor_location = kmeans_sensor.kmeans_sensor_placement(
         name=name, sensor_num=sensor_number, min_diameter=min_diameter
     )
     try:
@@ -1475,7 +1475,7 @@ def flow_data_clean(input_csv_file: str) -> str:
     if not os.path.exists(input_csv_path):
         raise FileNotFoundError(f"指定的文件不存在: {input_csv_path}")
     # 调用 Fdataclean.clean_flow_data_kf 函数进行数据清洗
-    out_xlsx_path = api_ex.Fdataclean.clean_flow_data_kf(input_csv_path)
+    out_xlsx_path = Fdataclean.clean_flow_data_kf(input_csv_path)
     print("清洗后的数据已保存到:", out_xlsx_path)
 
 
@@ -1502,7 +1502,7 @@ def pressure_data_clean(input_csv_file: str) -> str:
     if not os.path.exists(input_csv_path):
         raise FileNotFoundError(f"指定的文件不存在: {input_csv_path}")
     # 调用 Fdataclean.clean_flow_data_kf 函数进行数据清洗
-    out_xlsx_path = api_ex.Pdataclean.clean_pressure_data_km(input_csv_path)
+    out_xlsx_path = Pdataclean.clean_pressure_data_km(input_csv_path)
     print("清洗后的数据已保存到:", out_xlsx_path)