41 lines
1.5 KiB
Python
41 lines
1.5 KiB
Python
import os
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import firebase_admin
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from firebase_admin import credentials
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from firebase_admin import firestore
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from google.cloud.firestore_v1.base_query import FieldFilter
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import pandas as pd
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#import datetime
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import sys
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from datetime import datetime
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import matplotlib.pyplot as plt
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# Initialize Firebase Admin SDK
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cred = credentials.Certificate(os.getcwd() + '/keys/hpos-prod-firebase-adminsdk.json') # Replace with your own service account key path
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firebase_admin.initialize_app(cred)
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# Get a reference to the Firestore database
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db = firestore.client()
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# Specify the collections
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patient_collection = db.collection("patientData")
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test_collection = db.collection("testData")
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# start_date = sys.argv[1] # '2023-01-12' #input("Please enter the start date (yyyy-mm-dd): ")
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# end_date = sys.argv[2] #'2023-07-16' #input("Please enter the end date (yyyy-mm-dd): ")
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query = patient_collection.where(filter=FieldFilter("createdAt", ">=", "2023-10-17")).where(filter=FieldFilter("createdAt", "<", "2023-10-18"))
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#.where(filter=FieldFilter("registrationCenterName", "==", "SCS high school"))
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patient_docs = query.stream()
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# Prepare data to store in CSV
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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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data.append(patient_data)
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# print(patient_data['_idSearch'])
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# if patient_data['_idSearch'] is None:
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# # print(patient_doc.id)
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# print(patient_data['_id'])
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print(patient_data['_id'])
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db.collection("patientData").document(patient_doc.id).update({"_idSearch": '20231028' + patient_data['_id']})
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