Files
ComfyUI-Lora-Manager/py/routes/embedding_routes.py

106 lines
4.9 KiB
Python

import logging
from aiohttp import web
from .base_model_routes import BaseModelRoutes
from ..services.embedding_service import EmbeddingService
from ..services.service_registry import ServiceRegistry
logger = logging.getLogger(__name__)
class EmbeddingRoutes(BaseModelRoutes):
"""Embedding-specific route controller"""
def __init__(self):
"""Initialize Embedding routes with Embedding service"""
# Service will be initialized later via setup_routes
self.service = None
self.civitai_client = None
self.template_name = "embeddings.html"
async def initialize_services(self):
"""Initialize services from ServiceRegistry"""
embedding_scanner = await ServiceRegistry.get_embedding_scanner()
self.service = EmbeddingService(embedding_scanner)
self.civitai_client = await ServiceRegistry.get_civitai_client()
# Initialize parent with the service
super().__init__(self.service)
def setup_routes(self, app: web.Application):
"""Setup Embedding routes"""
# Schedule service initialization on app startup
app.on_startup.append(lambda _: self.initialize_services())
# Setup common routes with 'embeddings' prefix (includes page route)
super().setup_routes(app, 'embeddings')
def setup_specific_routes(self, app: web.Application, prefix: str):
"""Setup Embedding-specific routes"""
# Embedding-specific CivitAI integration
app.router.add_get(f'/api/{prefix}/civitai/versions/{{model_id}}', self.get_civitai_versions_embedding)
# Embedding info by name
app.router.add_get(f'/api/{prefix}/info/{{name}}', self.get_embedding_info)
async def get_embedding_info(self, request: web.Request) -> web.Response:
"""Get detailed information for a specific embedding by name"""
try:
name = request.match_info.get('name', '')
embedding_info = await self.service.get_model_info_by_name(name)
if embedding_info:
return web.json_response(embedding_info)
else:
return web.json_response({"error": "Embedding not found"}, status=404)
except Exception as e:
logger.error(f"Error in get_embedding_info: {e}", exc_info=True)
return web.json_response({"error": str(e)}, status=500)
async def get_civitai_versions_embedding(self, request: web.Request) -> web.Response:
"""Get available versions for a Civitai embedding model with local availability info"""
try:
model_id = request.match_info['model_id']
response = await self.civitai_client.get_model_versions(model_id)
if not response or not response.get('modelVersions'):
return web.Response(status=404, text="Model not found")
versions = response.get('modelVersions', [])
model_type = response.get('type', '')
# Check model type - should be TextualInversion (Embedding)
if model_type.lower() not in ['textualinversion', 'embedding']:
return web.json_response({
'error': f"Model type mismatch. Expected TextualInversion/Embedding, got {model_type}"
}, status=400)
# Check local availability for each version
for version in versions:
# Find the primary model file (type="Model" and primary=true) in the files list
model_file = next((file for file in version.get('files', [])
if file.get('type') == 'Model' and file.get('primary') == True), None)
# If no primary file found, try to find any model file
if not model_file:
model_file = next((file for file in version.get('files', [])
if file.get('type') == 'Model'), None)
if model_file:
sha256 = model_file.get('hashes', {}).get('SHA256')
if sha256:
# Set existsLocally and localPath at the version level
version['existsLocally'] = self.service.has_hash(sha256)
if version['existsLocally']:
version['localPath'] = self.service.get_path_by_hash(sha256)
# Also set the model file size at the version level for easier access
version['modelSizeKB'] = model_file.get('sizeKB')
else:
# No model file found in this version
version['existsLocally'] = False
return web.json_response(versions)
except Exception as e:
logger.error(f"Error fetching embedding model versions: {e}")
return web.Response(status=500, text=str(e))