# Standard library imports from typing import List import logging # Third-party imports from botocore.exceptions import NoCredentialsError import ray import ray.train # Local imports from s3_reader import S3Reader from logger_utils import ContextLoggerAdapter logger = ContextLoggerAdapter(logging.getLogger(__name__)) class S3JpegReader(S3Reader): """Extended S3Reader class for JPEG-specific functionality. Provides specialized methods for: 1. Collecting JPEG file metadata (sizes) from S3 2. Distributing files among workers based on file sizes 3. Managing parallel S3 operations with Ray tasks """ def _get_file_urls(self, url: str) -> List[str]: """Get file URLs from S3 and distribute them among Ray workers. Collects file metadata from S3 and distributes files among workers based on file sizes to ensure balanced workload distribution. Args: url: S3 URL to list files from (e.g., "s3://bucket/path/to/directory") Returns: List of S3 URLs assigned to the current Ray worker Raises: S3CredentialsError: If AWS credentials are not found or invalid S3FileError: If there's an error listing files from S3 """ try: # Get Ray worker configuration worker_rank = ray.train.get_context().get_world_rank() num_workers = ray.train.get_context().get_world_size() # Parse S3 URL components bucket, prefix = self._parse_s3_url(url) # Collect file metadata for balanced distribution logger.info( f"Worker {worker_rank}: Collecting file metadata for balanced distribution" ) file_urls, file_size_bytes = self._list_s3_files(bucket, prefix) logger.info(f"Found {len(file_urls)} files in {url}") # Distribute files based on size return self._distribute_files( file_urls=file_urls, file_weights=file_size_bytes, worker_rank=worker_rank, num_workers=num_workers, weight_unit="bytes", ) except NoCredentialsError: raise self.S3CredentialsError( "AWS credentials not found. Ensure you have configured them." ) except Exception as e: raise self.S3FileError(f"Error listing files from {url}: {str(e)}")