70 lines
2.5 KiB
Python
70 lines
2.5 KiB
Python
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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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# Initialize Firebase Admin SDK
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# cred = credentials.Certificate(r'C:\Users\smila\PycharmProjects\pythonProject\hpos-af3cc-firebase-adminsdk-n261k-2bfd463ec0.json') # Replace with your own service account key path
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cred = credentials.Certificate(r'/Users/apple/Downloads/work/pythonProject-master/hpos-prod-firebase-adminsdk-bionp-3c041b2300.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", ">=", start_date)).where(filter=FieldFilter("createdAt", "<", end_date))
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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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print(patient_doc)
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patient_data = patient_doc.to_dict()
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# patient_id = patient_data["_id"]
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# # Query the document from testData collection based on the common _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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# print(test_doc)
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# test_data = test_doc.to_dict()
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# # Combine the data from both collections into a single dictionary
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# combined_data = {**patient_data, **test_data}
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# # Fill empty fields in test_data with corresponding values from patient_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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data.append(patient_data)
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# Convert the data to a DataFrame
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df = pd.DataFrame(data)
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print(df)
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print(df.size)
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# Save the DataFrame to a CSV file
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output_filename = "data.csv"
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df.to_csv(output_filename, index=False)
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downloads_dir = os.path.join(os.path.expanduser("~"), "Downloads")
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output_path = os.path.join(downloads_dir, output_filename)
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df.to_csv(output_path, index=False)
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print(f"Data saved to '{output_path}'")
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# Close the Firebase Admin SDK
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firebase_admin.delete_app(firebase_admin.get_app())
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