refactor: rename logging.py, in-process scheduler, trim .gitignore

- winnow/logging.py → winnow/log_config.py: avoids shadowing the stdlib
  logging module; log file renamed from immich_export.log to winnow.log
- scheduler.py: run main() in-process instead of subprocess.run so
  InsightFace and SigLIP models stay resident in memory across scheduled
  runs (hundreds of MB load, previously reloaded every run)
- .gitignore: replaced 200-line boilerplate with ~30 project-relevant
  patterns; removed Django/Flask/Redis/RabbitMQ/Scrapy/etc. noise
- .python-version: untracked (redundant with requires-python in
  pyproject.toml; kept in .gitignore for local pyenv users)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

scheduler.py

@@ -1,7 +1,6 @@
 #!/usr/bin/env python3
 import logging
 import os
-import subprocess
 import sys
 import time
 from pathlib import Path
@@ -9,35 +8,31 @@ from pathlib import Path
 try:
     from croniter import croniter
 except ImportError:
-    print("❌ croniter not installed. Run: uv add croniter")
+    print("croniter not installed. Run: uv add croniter")
     sys.exit(1)
 
 SCHEDULE = os.environ["CRON_SCHEDULE"]
 MODELS_DIR = os.environ.get("HF_HOME", "/models/huggingface")
 INSIGHTFACE_BASE = os.environ.get("INSIGHTFACE_HOME", "/models")
 
-RUN_ENV = {**os.environ, "PYTHONUNBUFFERED": "1"}
-
 logger = logging.getLogger(__name__)
 
 
-def check_models():
-    """Log model status before each run."""
-    print("📦 Checking models...", flush=True)
+def check_models() -> None:
     buffalo = Path(INSIGHTFACE_BASE) / ".insightface" / "models" / "buffalo_l"
-    if buffalo.exists():
-        print("  ✅ InsightFace Buffalo_L: present", flush=True)
-    else:
-        print("  ⬇️  InsightFace Buffalo_L: not found — will download", flush=True)
-
     hf_hub = Path(MODELS_DIR) / "hub"
-    if hf_hub.exists() and any(hf_hub.iterdir()):
-        print("  ✅ HuggingFace models: present", flush=True)
-    else:
-        print("  ⬇️  HuggingFace models: not found — will download", flush=True)
-    print("🚀 Starting winnow...", flush=True)
+    buffalo_ok = buffalo.exists()
+    hf_ok = hf_hub.exists() and any(hf_hub.iterdir())
+    if not buffalo_ok:
+        print("  InsightFace Buffalo_L not found — will download on first run", flush=True)
+    if not hf_ok:
+        print("  HuggingFace models not found — will download on first run", flush=True)
 
 
+# Import once — models loaded during the first run stay resident in memory
+# for all subsequent scheduled runs, avoiding repeated multi-GB load times.
+from winnow.cli import main  # noqa: E402
+
 NOW = time.time()
 cron = croniter(SCHEDULE, NOW)
 next_run = cron.get_next(float)
@@ -45,14 +40,13 @@ next_run = cron.get_next(float)
 while True:
     now = time.time()
     if now >= next_run:
-        print(f"\n▶ [{time.strftime('%Y-%m-%d %H:%M:%S')}] Starting winnow...", flush=True)
+        print(f"\n[{time.strftime('%Y-%m-%d %H:%M:%S')}] Starting winnow run...", flush=True)
         check_models()
-        result = subprocess.run(["uv", "run", "winnow"], env=RUN_ENV)
-        if result.returncode != 0:
-            logger.error(f"winnow exited with code {result.returncode}")
-            print(f"❌ winnow failed with exit code {result.returncode}", flush=True)
-        else:
-            print("✅ winnow completed successfully", flush=True)
+        try:
+            main()
+            print("winnow run complete", flush=True)
+        except Exception as e:
+            logger.error(f"winnow run failed: {e}", exc_info=True)
+            print(f"winnow run failed: {e}", flush=True)
         next_run = cron.get_next(float)
     time.sleep(60)
-