"""
Simple timing utilities for performance logging.
"""
import time
import logging
from contextlib import contextmanager
from typing import Optional

logger = logging.getLogger(__name__)


@contextmanager
def timed(operation: str, log_level: int = logging.INFO, threshold_ms: Optional[float] = None):
    """
    Context manager for timing operations.

    Args:
        operation: Description of the operation being timed
        log_level: Logging level (default INFO)
        threshold_ms: Only log if duration exceeds this threshold (milliseconds)

    Usage:
        with timed("LLM extraction"):
            result = llm_complete_json(...)
    """
    start = time.perf_counter()
    try:
        yield
    finally:
        elapsed_ms = (time.perf_counter() - start) * 1000
        if threshold_ms is None or elapsed_ms >= threshold_ms:
            logger.log(log_level, f"{operation}: {elapsed_ms:.0f}ms")