修复数据清洗index越界错误;重命名压力流量清洗方法
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@@ -30,8 +30,8 @@ from app.algorithms.sensors import (
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pressure_sensor_placement_sensitivity,
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pressure_sensor_placement_kmeans,
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)
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import app.algorithms.api_ex.Fdataclean as Fdataclean
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import app.algorithms.api_ex.Pdataclean as Pdataclean
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import app.algorithms.api_ex.flow_data_clean as flow_data_clean
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import app.algorithms.api_ex.pressure_data_clean as pressure_data_clean
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from app.services.network_import import network_update
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from app.services.simulation_ops import (
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project_management,
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@@ -588,9 +588,9 @@ async def fastapi_scada_device_data_cleaning(
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values = [record["value"] for record in type_scada_data[device_id]]
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df[device_id] = values
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if device_type == "pressure":
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cleaned_value_df = Pdataclean.clean_pressure_data_df_km(df)
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cleaned_value_df = pressure_data_clean.clean_pressure_data_df_km(df)
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elif device_type == "pipe_flow":
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cleaned_value_df = Fdataclean.clean_flow_data_df_kf(df)
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cleaned_value_df = flow_data_clean.clean_flow_data_df_kf(df)
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cleaned_value_df = pd.DataFrame(cleaned_value_df)
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cleaned_df = pd.concat([df["time"], cleaned_value_df], axis=1)
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influxdb_api.import_multicolumn_data_from_dict(
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