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add relative directory in key path

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This commit is contained in:
Pritimay Sarkar
2023-08-21 14:53:56 +05:30
parent cf96b009fb
commit df40847109
1 changed files with 53 additions and 40 deletions
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scripts/consolidated_data.py
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@@ -1,62 +1,75 @@
import os import os
import firebase_admin import firebase_admin
from IPython.core.display import Image
from IPython.core.display_functions import display
from firebase_admin import credentials from firebase_admin import credentials
from firebase_admin import firestore from firebase_admin import firestore
from google.cloud.firestore_v1.base_query import FieldFilter
import pandas as pd import pandas as pd
import datetime import datetime
import sys
import platform
if __name__ == "__main__":
# Initialize Firebase Admin SDK path_delim = ""
cred = credentials.Certificate(r'C:\Users\smila\PycharmProjects\pythonProject\hpos-prod-firebase-adminsdk-bionp-5486f7becd.json') # Replace with your own service account key path if platform.system() == 'Darwin':
path_delim = '/'
else:
path_delim = '\\'
firebase_admin.initialize_app(cred) key_file_path = os.getcwd() + path_delim + "keys" + path_delim + "hpos-af3cc-firebase-adminsdk-n261k-2bfd463ec0.json"
cred = credentials.Certificate(key_file_path) # Replace with your own service account key path
firebase_admin.initialize_app(cred)
# Get a reference to the Firestore database # Get a reference to the Firestore database
db = firestore.client() db = firestore.client()
# Specify the collections # 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 = input("Please enter the start date (yyyy-mm-dd): ") start_date = sys.argv[1] # '2023-01-12' #input("Please enter the start date (yyyy-mm-dd): ")
end_date = input("Please enter the end 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("createdAt", ">=", start_date).where("createdAt", "<", end_date) query = test_collection.where(filter=FieldFilter("testTime", ">=", start_date)).where(filter=FieldFilter("testTime", "<", end_date))
patient_docs = query.stream() patient_docs = query.stream()
# Prepare data to store in CSV # 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() print(patient_doc)
patient_id = patient_data["_id"] patient_data = patient_doc.to_dict()
patient_id = patient_data["_id"]
# Query the document from testData collection based on the common _id # Query the document from testData collection based on the common _id
test_docs = test_collection.where("_id", "==", patient_id).stream() test_docs = test_collection.where("_id", "==", patient_id).stream()
for test_doc in test_docs: for test_doc in test_docs:
test_data = test_doc.to_dict() print(test_doc)
test_data = test_doc.to_dict()
# Combine the data from both collections into a single dictionary # Combine the data from both collections into a single dictionary
combined_data = {**patient_data, **test_data} combined_data = {**patient_data, **test_data}
# Skip if the csvPath is not a valid URL # 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(combined_data)
# Convert the data to a DataFrame # Convert the data to a DataFrame
df = pd.DataFrame(data) df = pd.DataFrame(data)
print(df.size) print(df)
print(df.size)
# Save the DataFrame to a CSV file # Save the DataFrame to a CSV file
output_filename = "data.csv" output_filename = "data.csv"
df.to_csv(output_filename, index=False) df.to_csv(output_filename, index=False)
downloads_dir = os.path.join(os.path.expanduser("~"), "Downloads") downloads_dir = os.path.join(os.path.expanduser("~"), "Downloads")
output_path = os.path.join(downloads_dir, output_filename) output_path = os.path.join(downloads_dir, output_filename)
df.to_csv(output_path, index=False) df.to_csv(output_path, index=False)
print(f"Data saved to '{output_path}'") print(f"Data saved to '{output_path}'")
# Close the Firebase Admin SDK # Close the Firebase Admin SDK
firebase_admin.delete_app(firebase_admin.get_app()) firebase_admin.delete_app(firebase_admin.get_app())