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feat: Add metadata endpoint and implement model metadata retrieval functionality

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This commit is contained in:
Will Miao
2025-08-27 17:44:29 +08:00
parent f6bd48cfcd
commit 9817bac2fe
8 changed files with 71 additions and 10 deletions
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11
py/services/base_model_service.py
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@@ -4,6 +4,7 @@ import logging
import os
from ..utils.models import BaseModelMetadata
from ..utils.routes_common import ModelRouteUtils
from ..utils.constants import NSFW_LEVELS
from .settings_manager import settings
from ..utils.utils import fuzzy_match
@@ -379,6 +380,16 @@ class BaseModelService(ABC):
return {'civitai_url': None, 'model_id': None, 'version_id': None}
async def get_model_metadata(self, file_path: str) -> Optional[Dict]:
"""Get filtered CivitAI metadata for a model by file path"""
cache = await self.scanner.get_cached_data()
for model in cache.raw_data:
if model.get('file_path') == file_path:
return ModelRouteUtils.filter_civitai_data(model.get("civitai", {}))
return None
async def search_relative_paths(self, search_term: str, limit: int = 15) -> List[str]:
"""Search model relative file paths for autocomplete functionality"""
cache = await self.scanner.get_cached_data()

3
py/services/checkpoint_service.py
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@@ -34,12 +34,11 @@ class CheckpointService(BaseModelService):
"file_size": checkpoint_data.get("size", 0),
"modified": checkpoint_data.get("modified", ""),
"tags": checkpoint_data.get("tags", []),
"modelDescription": checkpoint_data.get("modelDescription", ""),
"from_civitai": checkpoint_data.get("from_civitai", True),
"notes": checkpoint_data.get("notes", ""),
"model_type": checkpoint_data.get("model_type", "checkpoint"),
"favorite": checkpoint_data.get("favorite", False),
"civitai": ModelRouteUtils.filter_civitai_data(checkpoint_data.get("civitai", {}))
"civitai": ModelRouteUtils.filter_civitai_data(checkpoint_data.get("civitai", {}), minimal=True)
}
def find_duplicate_hashes(self) -> Dict:

3
py/services/embedding_service.py
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@@ -34,12 +34,11 @@ class EmbeddingService(BaseModelService):
"file_size": embedding_data.get("size", 0),
"modified": embedding_data.get("modified", ""),
"tags": embedding_data.get("tags", []),
"modelDescription": embedding_data.get("modelDescription", ""),
"from_civitai": embedding_data.get("from_civitai", True),
"notes": embedding_data.get("notes", ""),
"model_type": embedding_data.get("model_type", "embedding"),
"favorite": embedding_data.get("favorite", False),
"civitai": ModelRouteUtils.filter_civitai_data(embedding_data.get("civitai", {}))
"civitai": ModelRouteUtils.filter_civitai_data(embedding_data.get("civitai", {}), minimal=True)
}
def find_duplicate_hashes(self) -> Dict:

3
py/services/lora_service.py
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@@ -34,12 +34,11 @@ class LoraService(BaseModelService):
"file_size": lora_data.get("size", 0),
"modified": lora_data.get("modified", ""),
"tags": lora_data.get("tags", []),
"modelDescription": lora_data.get("modelDescription", ""),
"from_civitai": lora_data.get("from_civitai", True),
"usage_tips": lora_data.get("usage_tips", ""),
"notes": lora_data.get("notes", ""),
"favorite": lora_data.get("favorite", False),
"civitai": ModelRouteUtils.filter_civitai_data(lora_data.get("civitai", {}))
"civitai": ModelRouteUtils.filter_civitai_data(lora_data.get("civitai", {}), minimal=True)
}
async def _apply_specific_filters(self, data: List[Dict], **kwargs) -> List[Dict]: