ring-sizer / src /logging_config.py
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"""Shared logging setup and phase-timing context manager.
Usage:
from src.logging_config import configure_logging, log_phase
configure_logging() # call once at entry point (CLI, web demo, scripts)
logger = logging.getLogger(__name__)
timings: Dict[str, float] = {}
with log_phase("hand_segment", timings):
...
The single canonical format is `[phase] <name>: <ms> ms`, emitted via the
module-level logger (so web demo / HF Space / scripts all see structured
output with consistent prefixes).
"""
from __future__ import annotations
import logging
import time
from contextlib import contextmanager
from typing import Dict, Optional
logger = logging.getLogger(__name__)
_configured = False
def configure_logging(level: int = logging.INFO) -> None:
"""Configure the root logger once. Safe to call multiple times."""
global _configured
if _configured:
return
logging.basicConfig(
level=level,
format="%(asctime)s %(levelname)s %(name)s: %(message)s",
datefmt="%H:%M:%S",
)
_configured = True
@contextmanager
def log_phase(name: str, totals: Optional[Dict[str, float]] = None):
"""Time a pipeline phase and log `[phase] name: X ms` on exit.
When ``totals`` is passed, elapsed milliseconds are accumulated under
``name`` so the caller can emit a summary at the end of the run.
"""
t0 = time.perf_counter()
try:
yield
finally:
dt_ms = (time.perf_counter() - t0) * 1000.0
logger.info("[phase] %s: %.1f ms", name, dt_ms)
if totals is not None:
totals[name] = totals.get(name, 0.0) + dt_ms
def log_phase_summary(totals: Dict[str, float]) -> None:
"""Log a sorted summary of accumulated phase timings."""
if not totals:
return
total_ms = sum(totals.values())
logger.info("[phase] ===== summary (total %.1f ms) =====", total_ms)
for name, ms in sorted(totals.items(), key=lambda kv: -kv[1]):
pct = (ms / total_ms * 100.0) if total_ms > 0 else 0.0
logger.info("[phase] %-28s %8.1f ms (%5.1f%%)", name, ms, pct)