flanandClaude Sonnet 4.6
85e499a677
- immich_api: `score or confidence` treated 0.0 score as falsy; use explicit None check - diversity: same falsy-zero fix in _get_face_confidence - diversity: _crop_face_from_thumbnail scale loop now filters by person_id (was using first person's imageWidth/imageHeight regardless of target in group photos) - jobs: partially-trained auto mode kept limit="auto" for adaptive stopping, then caps result to remaining capacity (was converting to int, silently disabling FPS adaptive threshold and early-stop) - embeddings: _suppress_output finally block wraps first dup2 in try/finally so stderr is always restored even if stdout restore raises OSError - Dockerfile: ldconfig find uses python3.* glob instead of hardcoded python3.13 - scheduler: sleep until next_run instead of fixed 60s; eliminates late-fire jitter and unnecessary wakeups on long schedules Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
53 lines
1.6 KiB
Python
53 lines
1.6 KiB
Python
#!/usr/bin/env python3
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import logging
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import os
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import sys
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import time
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from pathlib import Path
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try:
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from croniter import croniter
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except ImportError:
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print("croniter not installed. Run: uv add croniter")
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sys.exit(1)
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# Imported at module level so models loaded during the first run stay
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# resident in memory across all subsequent scheduled runs.
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from winnow.cli import main
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SCHEDULE = os.environ["CRON_SCHEDULE"]
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MODELS_DIR = os.environ.get("HF_HOME", "/models/huggingface")
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INSIGHTFACE_HOME = os.environ.get("INSIGHTFACE_HOME", "/models/.insightface")
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logger = logging.getLogger(__name__)
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def check_models() -> None:
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buffalo = Path(INSIGHTFACE_HOME) / "models" / "buffalo_l"
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hf_hub = Path(MODELS_DIR) / "hub"
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if not buffalo.exists():
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print(" InsightFace Buffalo_L not found — will download on first run", flush=True)
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if not (hf_hub.exists() and any(hf_hub.iterdir())):
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print(" HuggingFace models not found — will download on first run", flush=True)
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NOW = time.time()
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cron = croniter(SCHEDULE, NOW)
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next_run = cron.get_next(float)
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while True:
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now = time.time()
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if now >= next_run:
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print(f"\n[{time.strftime('%Y-%m-%d %H:%M:%S')}] Starting winnow run...", flush=True)
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check_models()
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try:
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main()
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print("winnow run complete", flush=True)
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except KeyboardInterrupt:
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raise
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except Exception as e:
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logger.error(f"winnow run failed: {e}", exc_info=True)
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print(f"winnow run failed: {e}", flush=True)
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next_run = cron.get_next(float)
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time.sleep(max(1, next_run - time.time()))
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