import csv
import hashlib
import json

def hash_subscriber_id(subscriber_id):
    return hashlib.sha256(subscriber_id.encode()).hexdigest()

def process_subscribers(onboarded_json, subscribers_csv, output):
    # Load JSON data from the file
    with open(onboarded_json, 'r') as json_file:
        json_data = json.load(json_file)

    # Create a dictionary mapping kyc_id to participant data
    kyc_map = {participant['kyc_id']: participant for participant in json_data['participants']}

    # Load subscribers data from the CSV file and process it using map
    with open(subscribers_csv, 'r') as csv_file:
        csv_reader = csv.DictReader(csv_file)
        subscribers = list(csv_reader)

    # Use map to process subscribers
    def process_subscriber(subscriber):
        hashed_subscriber_id = hash_subscriber_id(subscriber['subscriber_id'])
        participant = kyc_map.get(hashed_subscriber_id)

        if participant:
            return {
                'subscriber_id': subscriber['subscriber_id'],
                'email': subscriber['email'],
                'cosmos_address': participant['cosmos_address'],
                'nitro_address': participant['nitro_address'],
                'role': participant['role'],
                'kyc_id': participant['kyc_id'],
                'status': subscriber['status'],
                'premium': subscriber['premium?'],
                'created_at': subscriber['created_at']
            }
        return None

    # Apply the map function and filter out None values
    output_data = list(filter(None, map(process_subscriber, subscribers)))

    # Write the matched data to a new CSV file
    with open(output, 'w', newline='') as csv_file:
        fieldnames = ['subscriber_id', 'email', 'cosmos_address', 'nitro_address', 'role', 'kyc_id', 'status', 'premium', 'created_at']
        csv_writer = csv.DictWriter(csv_file, fieldnames=fieldnames)
        csv_writer.writeheader()
        csv_writer.writerows(output_data)

    print(f'Data has been written to {output}')