88 lines
3.0 KiB
Python
88 lines
3.0 KiB
Python
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import functions_framework
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from firebase_functions import https_fn
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# import firebase_admin
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from firebase_admin import initialize_app, firestore
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import pandas as pd
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import datetime
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import sys
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import platform
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import os
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import io
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from flask import send_file
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initialize_app()
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@functions_framework.http
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def consolidation(request):
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"""HTTP Cloud Function.
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Args:
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request (flask.Request): The request object.
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<https://flask.palletsprojects.com/en/1.1.x/api/#incoming-request-data>
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Returns:
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The response text, or any set of values that can be turned into a
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Response object using `make_response`
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<https://flask.palletsprojects.com/en/1.1.x/api/#flask.make_response>.
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"""
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request_json = request.get_json(silent=True)
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request_args = request.args
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if request_json and 'start_date' in request_json and 'end_date' in request_json:
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start_date = request_json['start_date']
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end_date = request_json['end_date']
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elif request_args and 'start_date' in request_args and 'end_date' in request_args:
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start_date = request_args['start_date']
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end_date = request_args['end_date']
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else:
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start_date = "2023-08-20"
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end_date = "2023-08-21"
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path_delim = "/"
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db = firestore.client()
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patient_collection = db.collection("patientData")
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test_collection = db.collection("testData")
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query = test_collection
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patient_docs = query.stream()
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data = []
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for patient_doc in patient_docs:
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patient_data = patient_doc.to_dict()
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patient_id = patient_data["_id"]
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test_docs = test_collection.where("_id", "==", patient_id).stream()
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for test_doc in test_docs:
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test_data = test_doc.to_dict()
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combined_data = {**patient_data, **test_data}
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for key, value in combined_data.items():
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if value == "" and key in patient_data:
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combined_data[key] = patient_data[key]
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data.append(combined_data)
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df = pd.DataFrame(data)
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output_filename = "data.xlsx"
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output_path = os.getcwd() + path_delim + output_filename
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writer = pd.ExcelWriter(output_path, engine = 'openpyxl')
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df = df[(df['testTime'] > start_date) & (df['testTime'] <= end_date)]
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df = df.sort_values(by=['testTime'], ascending=False)
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df = df.drop(['resultData', "reportUploadTime", "userImageURL", "testType", "birthYear", "testStatus", "reportPath", "createdBy", "csvPath", "result", "mobileId", "resultRatio", "localFlag", "led2", "led1"], axis=1)
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df.rename(columns={'deviceSerialNumber': "loginId", "calculatedRatio": "calibratedRatio"}, inplace = True)
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df.to_excel(writer, sheet_name = 'data', index=False)
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writer.close()
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# firebase_admin.delete_app(firebase_admin.get_app())
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# return 'df size {}!'.format(df.size)
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with open(output_path,'rb') as f:
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file_data = io.BytesIO(f.read())
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# application/vnd.ms-excel
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return send_file(file_data, download_name= "data.xlsx", mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet")
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