feat: expose all interactive CLI options via env vars

- config.py: wire BLUR_THRESHOLD, MIN_CONFIDENCE, MAX_AUTO_IMAGES,
  FACE_MARGIN, USE_FULL_RESOLUTION, ENABLE_FACE_ALIGNMENT to env vars
  (were hardcoded class defaults, inaccessible in AUTO_MODE)
- jobs.py: add LIMIT env var for custom image count in auto mode;
  overrides STRATEGY preset (mirrors interactive Custom Count option)
- compose.yml: document all env vars with inline comments grouped by
  concern — mode/strategy, people filtering, image quality, caching,
  tracker overrides, scheduling

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

if_curator/config.py

@@ -58,6 +58,12 @@ class _Config:
         self.YEARS_FILTER = int(os.getenv("YEARS_FILTER", "10"))
         self.MIN_FACE_WIDTH = int(os.getenv("MIN_FACE_WIDTH", "50"))
         self.MIN_FACE_COUNT = int(os.getenv("MIN_FACE_COUNT", "0"))
+        self.BLUR_THRESHOLD = float(os.getenv("BLUR_THRESHOLD", "100.0"))
+        self.MIN_CONFIDENCE = float(os.getenv("MIN_CONFIDENCE", "0.7"))
+        self.MAX_AUTO_IMAGES = int(os.getenv("MAX_AUTO_IMAGES", "80"))
+        self.FACE_MARGIN = float(os.getenv("FACE_MARGIN", "0.15"))
+        self.USE_FULL_RESOLUTION = os.getenv("USE_FULL_RESOLUTION", "true").lower() in ("true", "1", "yes")
+        self.ENABLE_FACE_ALIGNMENT = os.getenv("ENABLE_FACE_ALIGNMENT", "true").lower() in ("true", "1", "yes")
         self.ENABLE_CACHE = os.getenv("ENABLE_CACHE", "false").lower() in ("true", "1", "yes")
         self.CACHE_DIR = os.getenv("CACHE_DIR", ".if_cache")
 

if_curator/jobs.py

@@ -63,8 +63,14 @@ def _get_strategy_choice(has_embedding: bool, entity_type: str) -> tuple[int | s
 
 def _resolve_strategy(strategy: str, has_embedding: bool) -> tuple[int | str, str]:
     """Resolve env var strategy to (limit, selection_mode) without prompts."""
+    custom_limit = os.environ.get("LIMIT", "").strip()
+
     if not has_embedding:
-        return 30, "time"
+        limit = int(custom_limit) if custom_limit else 30
+        return limit, "time"
+
+    if custom_limit:
+        return int(custom_limit), "smart"
 
     strategy_map = {
         "auto": ("auto", "smart"),