fix: address 3 quality review findings — tracker_ok gate, LIMIT=0 warning, cache write log level

winnow/cache.py

@@ -90,7 +90,7 @@ class EmbeddingCache:
             np.save(tmp, embedding)
             os.replace(tmp, final)
         except Exception as e:
-            logger.debug("Cache write failed for %s: %s", asset_id, e)
+            logger.warning("Cache write failed for %s: %s", asset_id, e)
             try:
                 os.remove(tmp)
             except OSError:

winnow/executor.py

@@ -507,6 +507,7 @@ def upload_to_frigate(jobs: list[dict]) -> None:
 
                             asset_id = asset_map.get(fname)
                             if asset_id:
+                                tracker_ok = True
                                 try:
                                     mark_uploaded(
                                         asset_id,
@@ -516,6 +517,7 @@ def upload_to_frigate(jobs: list[dict]) -> None:
                                         frigate_score=pre_fscore,
                                     )
                                 except Exception as tracker_exc:
+                                    tracker_ok = False
                                     # Upload to Frigate succeeded — don't retry on tracker
                                     # failure or we'd upload a duplicate to Frigate.
                                     logger.error(
@@ -523,6 +525,7 @@ def upload_to_frigate(jobs: list[dict]) -> None:
                                         " but asset may be re-selected next run: %s",
                                         fname, tracker_exc,
                                     )
+                                if tracker_ok:
                                     if pre_fscore is not None:
                                         person_has_fscores = True
                                     actually_uploaded.append((fname, asset_id))

winnow/jobs.py

@@ -70,6 +70,8 @@ def _resolve_strategy(strategy: str, has_embedding: bool) -> tuple[int | str, st
 
     custom_limit = _getenv_optional_int("LIMIT")
     if custom_limit is not None:
+        if custom_limit == 0:
+            logger.warning("LIMIT=0 selects zero images — set LIMIT to a positive integer or leave unset for auto")
         return custom_limit, "smart"
 
     strategy_map = {