Files
hpos-data/scripts/test_collection.py
Pritimay Sarkar 907129d673 nagpur changes
2023-09-04 07:43:03 +05:30

70 lines
2.5 KiB
Python

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(r'/Users/apple/Downloads/work/pythonProject-master/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:
print(patient_doc)
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())