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clean user coolection file

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This commit is contained in:
Pritimay Sarkar
2023-11-11 16:05:05 +05:30
parent 64b0d7f953
commit 26aa88041f
1 changed files with 4 additions and 28 deletions
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32
scripts/user_collection.py
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@@ -7,55 +7,32 @@ import pandas as pd
#import datetime #import datetime
import sys import sys
from datetime import datetime from datetime import datetime
import matplotlib.pyplot as plt
# Initialize Firebase Admin SDK
cred = credentials.Certificate(os.getcwd() + '/keys/hpos-prod-firebase-adminsdk.json') # Replace with your own service account key path cred = credentials.Certificate(os.getcwd() + '/keys/hpos-prod-firebase-adminsdk.json') # Replace with your own service account key path
firebase_admin.initialize_app(cred) firebase_admin.initialize_app(cred)
# Get a reference to the Firestore database
db = firestore.client() db = firestore.client()
# Specify the collections
patient_collection = db.collection("patientData") patient_collection = db.collection("patientData")
test_collection = db.collection("testData") # test_collection = db.collection("testData")
start_date = sys.argv[1] # '2023-01-12' #input("Please enter the start date (yyyy-mm-dd): ") start_date = sys.argv[1]
end_date = sys.argv[2] #'2023-07-16' #input("Please enter the end date (yyyy-mm-dd): ") end_date = sys.argv[2]
query = patient_collection.where(filter=FieldFilter("createdAt", ">=", start_date)).where(filter=FieldFilter("createdAt", "<", end_date)) query = patient_collection.where(filter=FieldFilter("createdAt", ">=", start_date)).where(filter=FieldFilter("createdAt", "<", end_date))
patient_docs = query.stream() patient_docs = query.stream()
# Prepare data to store in CSV
data = [] data = []
for patient_doc in patient_docs: for patient_doc in patient_docs:
patient_data = patient_doc.to_dict() 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) data.append(patient_data)
# Convert the data to a DataFrame
df = pd.DataFrame(data) df = pd.DataFrame(data)
print(df) print(df)
print(df.size) print(df.size)
print("duplicates", len(df['_id']) - len(df['_id'].drop_duplicates())) print("duplicates", len(df['_id']) - len(df['_id'].drop_duplicates()))
# Save the DataFrame to a CSV file
output_filename = f'users_{datetime.today().strftime("%d_%m_%Y_%H_%M")}.xlsx' output_filename = f'users_{datetime.today().strftime("%d_%m_%Y_%H_%M")}.xlsx'
df.to_excel(output_filename, index=False) df.to_excel(output_filename, index=False)
@@ -65,6 +42,5 @@ df.to_excel(output_path, index=False)
print(f"Data saved to '{output_path}'") print(f"Data saved to '{output_path}'")
# Close the Firebase Admin SDK
firebase_admin.delete_app(firebase_admin.get_app()) firebase_admin.delete_app(firebase_admin.get_app())