"""Centralized logging configuration for FDAM AI Pipeline.

Provides structured logging for HuggingFace Spaces troubleshooting.
Set LOG_LEVEL=DEBUG for detailed output.
"""

import logging
import sys
from typing import Literal


LogLevel = Literal["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"]


def setup_logging(level: LogLevel = "INFO") -> None:
    """Configure structured logging for FDAM Pipeline.

    Args:
        level: Logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL).
               DEBUG provides detailed inference timing and RAG scores.
               INFO provides pipeline stage progress.
               WARNING and above for production.
    """
    log_format = "[%(asctime)s] [%(levelname)s] [%(name)s] %(message)s"
    date_format = "%Y-%m-%d %H:%M:%S"

    # Configure root logger
    logging.basicConfig(
        level=getattr(logging, level.upper(), logging.INFO),
        format=log_format,
        datefmt=date_format,
        handlers=[logging.StreamHandler(sys.stdout)],
        force=True,  # Override any existing config
    )

    # Reduce noise from third-party libraries
    logging.getLogger("chromadb").setLevel(logging.WARNING)
    logging.getLogger("transformers").setLevel(logging.WARNING)
    logging.getLogger("gradio").setLevel(logging.WARNING)
    logging.getLogger("httpx").setLevel(logging.WARNING)
    logging.getLogger("httpcore").setLevel(logging.WARNING)
    logging.getLogger("urllib3").setLevel(logging.WARNING)
    logging.getLogger("PIL").setLevel(logging.WARNING)

    # Log the logging configuration itself
    logger = logging.getLogger(__name__)
    logger.info(f"Logging initialized at {level} level")


def get_logger(name: str) -> logging.Logger:
    """Get a logger with the given name.

    Convenience function for consistent logger creation.

    Args:
        name: Logger name (typically __name__ of the calling module).

    Returns:
        Configured logger instance.
    """
    return logging.getLogger(name)