63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
import os
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import firebase_admin
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from IPython.core.display import Image
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from IPython.core.display_functions import display
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from firebase_admin import credentials
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from firebase_admin import firestore
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import pandas as pd
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import datetime
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# Initialize Firebase Admin SDK
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cred = credentials.Certificate(r'C:\Users\smila\PycharmProjects\pythonProject\hpos-prod-firebase-adminsdk-bionp-5486f7becd.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 = input("Please enter the start date (yyyy-mm-dd): ")
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end_date = input("Please enter the end date (yyyy-mm-dd): ")
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query = patient_collection.where("createdAt", ">=", start_date).where("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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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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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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# Skip if the csvPath is not a valid URL
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data.append(combined_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.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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