Tighten Auto-Match refs and log accept/reject (Phase 2).

Raise reference quality floor to 0.5, align browse/run/auto-accept defaults with UI copy, and persist match_decisions for later confidence calibration.

backend/api/faces.py

@@ -49,6 +49,7 @@ from backend.services.face_service import (
     find_similar_faces,
     get_auto_match_people_list,
     list_unidentified_faces,
+    record_match_decisions,
 )
 from backend.services.face_service import (
     get_auto_match_person_matches as get_person_matches_service,
@@ -612,7 +613,7 @@ def auto_match_faces(
     """Start auto-match process with tolerance threshold and optional auto-acceptance.
     
     Matches desktop auto-match workflow exactly:
-    1. Gets all identified people (one face per person, best quality >= 0.3)
+    1. Gets all identified people (one face per person, best quality >= MIN_AUTO_MATCH_REFERENCE_QUALITY)
     2. For each person, finds similar unidentified faces (confidence >= 40%)
     3. Returns matches grouped by person, sorted by person name
     
@@ -620,7 +621,7 @@ def auto_match_faces(
     - Only processes persons with frontal or tilted reference faces (not profile)
     - Only processes persons with reference face quality > 50% (quality_score > 0.5)
     - Only matches with frontal or tilted unidentified faces (not profile)
-    - Only auto-accepts matches with similarity >= threshold
+    - Only auto-accepts matches with similarity >= threshold (default 85%)
     - Only auto-accepts faces with quality > 50% (quality_score > 0.5)
     """
     from backend.db.models import Person, Photo
@@ -649,6 +650,7 @@ def auto_match_faces(
             # 3. Quality must be > 50% (quality_score > 0.5)
             
             qualifying_faces = []
+            accept_log_items = []
             for face, distance, confidence_pct in similar_faces:
                 # Check similarity threshold
                 if confidence_pct < request.auto_accept_threshold:
@@ -662,6 +664,14 @@ def auto_match_faces(
                     continue
                 
                 qualifying_faces.append(face.id)
+                accept_log_items.append(
+                    {
+                        "face_id": face.id,
+                        "similarity": float(confidence_pct),
+                        "distance": float(distance),
+                        "reference_face_id": reference_face_id,
+                    }
+                )
             
             # Auto-accept qualifying faces
             if qualifying_faces:
@@ -670,6 +680,16 @@ def auto_match_faces(
                         db, person_id, qualifying_faces
                     )
                     auto_accepted_faces += identified_count
+                    if identified_count:
+                        record_match_decisions(
+                            db,
+                            decision="accept",
+                            source="auto_accept",
+                            person_id=person_id,
+                            items=accept_log_items,
+                            user_id=None,
+                            commit=True,
+                        )
                 except Exception as e:
                     import logging
                     logger = logging.getLogger(__name__)