read reference csv from request
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@@ -56,7 +56,32 @@ def performance(request):
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else:
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else:
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start_date = "2023-12-04"
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start_date = "2023-12-04"
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end_date = "2023-12-05"
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end_date = "2023-12-05"
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if 'file' not in request.files:
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print('No file part')
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file = request.files['file']
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if file.filename == '':
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print('No selected file')
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# Save the file to a temporary location
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temp_filepath = '/tmp/temp_file.csv'
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file.save(temp_filepath)
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# Load the file into a Pandas DataFrame
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try:
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df_reference_device_raw = pd.read_csv(temp_filepath) # Adjust the read method based on your file type (e.g., read_excel for Excel files)
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# Now you can work with the DataFrame (e.g., perform analysis or display it)
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print(df_reference_device_raw.head())
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print('File uploaded and loaded into DataFrame successfully')
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except Exception as e:
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print(f'Error loading the file: {str(e)}')
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finally:
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# Remove the temporary file
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os.remove(temp_filepath)
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path_delim = "/"
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path_delim = "/"
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db = firestore.client()
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db = firestore.client()
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