add data download api

2023-08-21 19:14:24 +05:30
parent 960f5b9d9c
commit bddd2a137c
6 changed files with 206 additions and 6 deletions
--- a/cloud-functions/python/functions/consolidation.py
+++ b/cloud-functions/python/functions/consolidation.py
@@ -0,0 +1,88 @@
+import functions_framework
+from firebase_functions import https_fn
+# import firebase_admin
+from firebase_admin import initialize_app, firestore
+import pandas as pd
+import datetime
+import sys
+import platform
+import os
+import io
+from flask import send_file
+
+initialize_app()
+
+@functions_framework.http
+def consolidation(request):
+    """HTTP Cloud Function.
+    Args:
+        request (flask.Request): The request object.
+        <https://flask.palletsprojects.com/en/1.1.x/api/#incoming-request-data>
+    Returns:
+        The response text, or any set of values that can be turned into a
+        Response object using `make_response`
+        <https://flask.palletsprojects.com/en/1.1.x/api/#flask.make_response>.
+    """
+    request_json = request.get_json(silent=True)
+    request_args = request.args
+
+    if request_json and 'start_date' in request_json and 'end_date' in request_json:
+        start_date = request_json['start_date']
+        end_date = request_json['end_date']
+    elif request_args and 'start_date' in request_args and 'end_date' in request_args:
+        start_date = request_args['start_date']
+        end_date = request_args['end_date']
+    else:
+        start_date = "2023-08-20"
+        end_date = "2023-08-21"
+      
+    path_delim = "/"
+
+    db = firestore.client()
+
+    patient_collection = db.collection("patientData")
+    test_collection = db.collection("testData")
+
+    query = test_collection
+    patient_docs = query.stream()
+
+    data = []
+    for patient_doc in patient_docs:
+        patient_data = patient_doc.to_dict()
+        patient_id = patient_data["_id"]
+
+        test_docs = test_collection.where("_id", "==", patient_id).stream()
+
+        for test_doc in test_docs:
+            test_data = test_doc.to_dict()
+
+            combined_data = {**patient_data, **test_data}
+
+            for key, value in combined_data.items():
+                if value == "" and key in patient_data:
+                    combined_data[key] = patient_data[key]
+
+            data.append(combined_data)
+
+    df = pd.DataFrame(data)
+
+    output_filename = "data.xlsx"
+
+    output_path = os.getcwd() + path_delim + output_filename
+    writer = pd.ExcelWriter(output_path, engine = 'openpyxl')
+    df = df[(df['testTime'] > start_date) & (df['testTime'] <= end_date)]
+    df = df.sort_values(by=['testTime'], ascending=False)
+    df = df.drop(['resultData', "reportUploadTime", "userImageURL", "testType", "birthYear", "testStatus", "reportPath", "createdBy", "csvPath", "result", "mobileId", "resultRatio", "localFlag", "led2", "led1"], axis=1)
+    df.rename(columns={'deviceSerialNumber': "loginId", "calculatedRatio": "calibratedRatio"}, inplace = True)
+    df.to_excel(writer, sheet_name = 'data', index=False)
+    writer.close()
+
+    # firebase_admin.delete_app(firebase_admin.get_app())
+
+    # return 'df size {}!'.format(df.size)
+
+    with open(output_path,'rb') as f:
+        file_data = io.BytesIO(f.read())  
+
+    # application/vnd.ms-excel
+    return send_file(file_data, download_name= "data.xlsx", mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet")