Unable to Synchronize Data with MongoDB Atlas Cluster Using Python

I'm encountering an issue with synchronizing data between my Python application and a MongoDB Atlas cluster. Here are the details:

I have a Python script that synchronizes data between a CSV file and a MongoDB database.When I run the script with a localhost MongoDB connection string, it works perfectly fine. However, when I switch to using a MongoDB Atlas cluster connection string, the synchronization process fails.

The MongoDB Atlas cluster is hosted on AWS (the free tier) and I'm using the following connection string: mongodb+srv://NewUser:**********@cluster0.nnyqklj.mongodb.net/ExcelDB.The MongoDB user "NewUser" has been granted the necessary permissions to access the "ExcelDB" database in the Atlas cluster.

I have tried manually changing documents in my Compass, it is updated in my Atlas with no issues, but when i run the code, it throws an error.

The thing is the code works perfectly fine when change the connection string to 'mongodb://localhost:27017/'(I have the same DB here).

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import pandas as pdimport pymongoimport loggingdef synchronize_data(csv_file, mongo_uri, database_name, collection_name, primary_key):    # Setup logging    logging.basicConfig(filename='sync_log.log', level=logging.INFO)    try:        # Connect to MongoDB        client = pymongo.MongoClient(mongo_uri)        db = client[database_name]        collection = db[collection_name]        # Read CSV file        Exdf = pd.read_csv(csv_file)        Exdf_cleaned = Exdf.dropna(how='all').dropna(axis=1, how='all')        # Convert DataFrame to list of dictionaries        new_records = Exdf_cleaned.where(pd.notnull(Exdf_cleaned), "N/A").to_dict(orient='records')        existing_records = list(collection.find({}, {"_id": 0}))        # Extract column names from the DataFrame        csv_columns = set(Exdf_cleaned.columns)        # Extract column names from existing MongoDB documents        mongo_columns = set(existing_records[0].keys()) if existing_records else set()        # Determine columns to add and remove        columns_to_add = csv_columns - mongo_columns        columns_to_remove = mongo_columns - csv_columns        # Initialize counters        num_updated = 0        num_deleted = 0        num_inserted = 0        if len(existing_records) == 0:            num_inserted = len(new_records)        else:            # Update or delete existing records            for existing_record in existing_records:                found = False                for new_record in new_records:                    if existing_record[primary_key] == new_record[primary_key]:                        found = True                        # Check for field-level changes                        if existing_record != new_record:                            # Create update operation by excluding fields deleted from CSV                            update_operation = {"$set": {key: new_record[key] for key in new_record if key in existing_record}}                            # Include $unset for fields removed from CSV                            for key in existing_record:                                if key not in new_record:                                    update_operation["$unset"] = {key: ""}                            collection.update_one({primary_key: new_record[primary_key]}, update_operation)                            num_updated += 1                        break                if not found:                    # Delete the record if not found in new data                    collection.delete_one({primary_key: existing_record[primary_key]})                    num_deleted += 1        # Insert new records        for new_record in new_records:            if not any(existing_record[primary_key] == new_record[primary_key] for existing_record in existing_records):                collection.insert_one(new_record)                num_inserted += 1        # Remove columns from MongoDB documents        for column in columns_to_remove:            collection.update_many({}, {"$unset": {column: ""}})            num_deleted += 1        # Add new columns to MongoDB documents        for column in columns_to_add:            for index, row in Exdf_cleaned.iterrows():                collection.update_one({primary_key: row[primary_key]}, {"$set": {column: row[column]}})            num_updated += 1        # Log synchronization results        logging.info(f"Number of documents updated: {num_updated}")        logging.info(f"Number of documents deleted: {num_deleted}")        logging.info(f"Number of documents inserted: {num_inserted}")        # Print synchronization results        print(f"Number of documents updated: {num_updated}")        print(f"Number of documents deleted: {num_deleted}")        print(f"Number of documents inserted: {num_inserted}")    except FileNotFoundError:        logging.exception(f"CSV file {csv_file} not found.")        print(f"CSV file {csv_file} not found.")    except Exception as e:        # Log any exceptions        logging.exception("An error occurred during synchronization:")        print("An error occurred during synchronization:", e)synchronize_data("C:/Users/aksha/Desktop/mongoexceltest.csv", "mongodb+srv://NewUser:mongo123456@cluster0.nnyqklj.mongodb.net/ExcelDB", "ExcelDB", "Excel", "EEID")

Im shown this errorAn error occurred during synchronization: 'EEID'

note that this works perfectly in my local host and the column exists in both the collection and excel