feat: enhance skip metadata refresh with smart UI and subtle badges, #790

py/services/checkpoint_service.py

@@ -43,6 +43,7 @@ class CheckpointService(BaseModelService):
             "sub_type": sub_type,
             "favorite": checkpoint_data.get("favorite", False),
             "update_available": bool(checkpoint_data.get("update_available", False)),
+            "skip_metadata_refresh": bool(checkpoint_data.get("skip_metadata_refresh", False)),
             "civitai": self.filter_civitai_data(checkpoint_data.get("civitai", {}), minimal=True)
         }
     

py/services/embedding_service.py

@@ -43,6 +43,7 @@ class EmbeddingService(BaseModelService):
             "sub_type": sub_type,
             "favorite": embedding_data.get("favorite", False),
             "update_available": bool(embedding_data.get("update_available", False)),
+            "skip_metadata_refresh": bool(embedding_data.get("skip_metadata_refresh", False)),
             "civitai": self.filter_civitai_data(embedding_data.get("civitai", {}), minimal=True)
         }
     

py/services/lora_service.py

@@ -48,6 +48,7 @@ class LoraService(BaseModelService):
             "notes": lora_data.get("notes", ""),
             "favorite": lora_data.get("favorite", False),
             "update_available": bool(lora_data.get("update_available", False)),
+            "skip_metadata_refresh": bool(lora_data.get("skip_metadata_refresh", False)),
             "sub_type": sub_type,
             "civitai": self.filter_civitai_data(
                 lora_data.get("civitai", {}), minimal=True

py/services/model_scanner.py

@@ -248,6 +248,7 @@ class ModelScanner:
             'tags': tags_list,
             'civitai': civitai_slim,
             'civitai_deleted': bool(get_value('civitai_deleted', False)),
+            'skip_metadata_refresh': bool(get_value('skip_metadata_refresh', False)),
         }
 
         license_source: Dict[str, Any] = {}

py/services/persistent_model_cache.py

@@ -52,6 +52,7 @@ class PersistentModelCache:
         "trained_words",
         "license_flags",
         "civitai_deleted",
+        "skip_metadata_refresh",
         "exclude",
         "db_checked",
         "last_checked_at",
@@ -183,6 +184,7 @@ class PersistentModelCache:
                 "tags": tags.get(file_path, []),
                 "civitai": civitai,
                 "civitai_deleted": bool(row["civitai_deleted"]),
+                "skip_metadata_refresh": bool(row["skip_metadata_refresh"]),
                 "license_flags": int(license_value),
             }
             raw_data.append(item)
@@ -491,6 +493,7 @@ class PersistentModelCache:
             "civitai_creator_username": "TEXT",
             "civitai_model_type": "TEXT",
             "civitai_deleted": "INTEGER DEFAULT 0",
+            "skip_metadata_refresh": "INTEGER DEFAULT 0",
             # Persisting without explicit flags should assume CivitAI's documented defaults (0b111001 == 57).
             "license_flags": f"INTEGER DEFAULT {DEFAULT_LICENSE_FLAGS}",
         }
@@ -563,6 +566,7 @@ class PersistentModelCache:
             trained_words_json,
             int(license_flags),
             1 if item.get("civitai_deleted") else 0,
+            1 if item.get("skip_metadata_refresh") else 0,
             1 if item.get("exclude") else 0,
             1 if item.get("db_checked") else 0,
             float(item.get("last_checked_at") or 0.0),

py/services/use_cases/bulk_metadata_refresh_use_case.py

@@ -47,6 +47,7 @@ class BulkMetadataRefreshUseCase:
             model
             for model in cache.raw_data
             if model.get("sha256")
+            and not model.get("skip_metadata_refresh", False)
             and (not model.get("civitai") or not model["civitai"].get("id"))
             and not (
                 # Skip models confirmed not on CivitAI when no need to retry

py/utils/models.py

@@ -25,6 +25,7 @@ class BaseModelMetadata:
     favorite: bool = False      # Whether the model is a favorite
     exclude: bool = False       # Whether to exclude this model from the cache
     db_checked: bool = False    # Whether checked in archive DB
+    skip_metadata_refresh: bool = False  # Whether to skip this model during bulk metadata refresh
     metadata_source: Optional[str] = None  # Last provider that supplied metadata
     last_checked_at: float = 0  # Last checked timestamp
     _unknown_fields: Dict[str, Any] = field(default_factory=dict, repr=False, compare=False)  # Store unknown fields