Route Live Production Events to Delta Lake with Redpanda and delta-rs

"""
Production implementation for routing live production events to Delta Lake.
Provides secure, scalable operations with Redpanda and delta-rs.
"""

from typing import Dict, Any, List
import os
import logging
import requests
from time import sleep
from contextlib import contextmanager

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class Config:
    """
    Configuration class for environment variables.
    """
    DATABASE_URL: str = os.getenv('DATABASE_URL')
    REDPANDA_URL: str = os.getenv('REDPANDA_URL')
    RETRY_LIMIT: int = int(os.getenv('RETRY_LIMIT', 5))
    RETRY_DELAY: int = int(os.getenv('RETRY_DELAY', 2))

@contextmanager
def connection_pool():
    """Context manager for managing database connections.
    
    Yields:
        Connection object
    """
    conn = create_database_connection(Config.DATABASE_URL)  # Hypothetical function
    try:
        yield conn
    finally:
        conn.close()  # Ensure connection is closed

async def validate_input(data: Dict[str, Any]) -> bool:
    """Validate incoming event data.
    
    Args:
        data: Input event data to validate.
    Returns:
        True if valid.
    Raises:
        ValueError: If validation fails.
    """
    if 'event_id' not in data:
        raise ValueError('Missing event_id')
    if 'payload' not in data:
        raise ValueError('Missing payload')
    return True

async def sanitize_fields(data: Dict[str, Any]) -> Dict[str, Any]:
    """Sanitize fields in the event data.
    
    Args:
        data: Raw input data.
    Returns:
        Sanitized data.
    """
    sanitized = {k: str(v).strip() for k, v in data.items()}
    return sanitized

async def transform_records(data: Dict[str, Any]) -> Dict[str, Any]:
    """Transform the event data into the required format.
    
    Args:
        data: Raw input data.
    Returns:
        Transformed data.
    """
    transformed = {
        'id': data['event_id'],
        'data': data['payload'],
        'timestamp': data.get('timestamp', None),
    }
    return transformed

async def process_batch(events: List[Dict[str, Any]]) -> None:
    """Process a batch of events.
    
    Args:
        events: List of event data.
    Raises:
        Exception: If processing fails.
    """
    for event in events:
        try:
            await validate_input(event)  # Validate each event
            sanitized_data = await sanitize_fields(event)  # Sanitize fields
            transformed_data = await transform_records(sanitized_data)  # Transform data
            await save_to_db(transformed_data)  # Save to database
        except Exception as e:
            logger.error(f'Error processing event: {e}')  # Log errors

async def save_to_db(data: Dict[str, Any]) -> None:
    """Save data to Delta Lake.
    
    Args:
        data: Data to save.
    Raises:
        Exception: If saving fails.
    """
    with connection_pool() as conn:
        # Hypothetical save function
        conn.save(data)  # Save data to Delta Lake

async def fetch_data(endpoint: str) -> Any:
    """Fetch data from the Redpanda service.
    
    Args:
        endpoint: Redpanda endpoint to fetch data from.
    Returns:
        Fetched data.
    Raises:
        Exception: If fetching fails.
    """
    for attempt in range(Config.RETRY_LIMIT):
        try:
            response = requests.get(endpoint)
            response.raise_for_status()  # Raise error for bad responses
            return response.json()
        except requests.RequestException as e:
            logger.warning(f'Failed to fetch data (attempt {attempt + 1}): {e}')  # Log warnings
            sleep(Config.RETRY_DELAY)  # Wait before retrying
    raise Exception('Max retry limit reached')  # Raise after retries

class EventRouter:
    """Main orchestrator for routing events to Delta Lake.
    """
    def __init__(self, endpoint: str):
        self.endpoint = endpoint

    async def route_events(self) -> None:
        """Fetch and route events to Delta Lake.
        """
        data = await fetch_data(self.endpoint)  # Fetch data from Redpanda
        await process_batch(data)  # Process events batch

if __name__ == '__main__':
    # Example usage
    router = EventRouter('http://redpanda:port/events')
    await router.route_events()  # Route events to Delta Lake