hpos-data/scripts/user_collection.py

import os
import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore
from google.cloud.firestore_v1.base_query import FieldFilter
import pandas as pd
import datetime
import sys

# Initialize Firebase Admin SDK
# cred = credentials.Certificate(r'C:\Users\smila\PycharmProjects\pythonProject\hpos-af3cc-firebase-adminsdk-n261k-2bfd463ec0.json')  # Replace with your own service account key path
cred = credentials.Certificate(os.getcwd() + '/keys/hpos-prod-firebase-adminsdk-bionp-3c041b2300.json')  # Replace with your own service account key path
firebase_admin.initialize_app(cred)

# Get a reference to the Firestore database
db = firestore.client()

# Specify the collections
patient_collection = db.collection("patientData")
test_collection = db.collection("testData")
start_date = sys.argv[1] # '2023-01-12' #input("Please enter the start date (yyyy-mm-dd): ")
end_date = sys.argv[2] #'2023-07-16' #input("Please enter the end date (yyyy-mm-dd): ")

query = patient_collection.where(filter=FieldFilter("createdAt", ">=", start_date)).where(filter=FieldFilter("createdAt", "<", end_date))
patient_docs = query.stream()

# Prepare data to store in CSV
data = []
for patient_doc in patient_docs:
    patient_data = patient_doc.to_dict()
    # patient_id = patient_data["_id"]

    # # Query the document from testData collection based on the common _id
    # test_docs = test_collection.where("_id", "==", patient_id).stream()

    # for test_doc in test_docs:
    #     print(test_doc)
    #     test_data = test_doc.to_dict()

    #     # Combine the data from both collections into a single dictionary
    #     combined_data = {**patient_data, **test_data}

    #     # Fill empty fields in test_data with corresponding values from patient_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)
    data.append(patient_data)

# Convert the data to a DataFrame
df = pd.DataFrame(data)
print(df)
print(df.size)

# Save the DataFrame to a CSV file
output_filename = "data.csv"
df.to_csv(output_filename, index=False)

downloads_dir = os.path.join(os.path.expanduser("~"), "Downloads")
output_path = os.path.join(downloads_dir, output_filename)
df.to_csv(output_path, index=False)

print(f"Data saved to '{output_path}'")

# Close the Firebase Admin SDK
firebase_admin.delete_app(firebase_admin.get_app())