import os import logging import sys from aiohttp import web from typing import Dict import tempfile import json import aiohttp import asyncio from ..utils.exif_utils import ExifUtils from ..services.civitai_client import CivitaiClient from ..services.recipe_scanner import RecipeScanner from ..services.lora_scanner import LoraScanner from ..config import config import time # Add this import at the top logger = logging.getLogger(__name__) print("Recipe Routes module loaded", file=sys.stderr) class RecipeRoutes: """API route handlers for Recipe management""" def __init__(self): print("Initializing RecipeRoutes", file=sys.stderr) self.recipe_scanner = RecipeScanner(LoraScanner()) self.civitai_client = CivitaiClient() # Pre-warm the cache self._init_cache_task = None @classmethod def setup_routes(cls, app: web.Application): """Register API routes""" print("Setting up recipe routes", file=sys.stderr) routes = cls() app.router.add_get('/api/recipes', routes.get_recipes) app.router.add_get('/api/recipe/{recipe_id}', routes.get_recipe_detail) app.router.add_post('/api/recipes/analyze-image', routes.analyze_recipe_image) app.router.add_post('/api/recipes/download-missing-loras', routes.download_missing_loras) app.router.add_post('/api/recipes/save', routes.save_recipe) # Start cache initialization app.on_startup.append(routes._init_cache) print("Recipe routes setup complete", file=sys.stderr) async def _init_cache(self, app): """Initialize cache on startup""" print("Pre-warming recipe cache...", file=sys.stderr) try: # Diagnose lora scanner first await self.recipe_scanner._lora_scanner.diagnose_hash_index() # Force a cache refresh await self.recipe_scanner.get_cached_data(force_refresh=True) print("Recipe cache pre-warming complete", file=sys.stderr) except Exception as e: print(f"Error pre-warming recipe cache: {e}", file=sys.stderr) async def get_recipes(self, request: web.Request) -> web.Response: """API endpoint for getting paginated recipes""" try: print("API: GET /api/recipes", file=sys.stderr) # Get query parameters with defaults page = int(request.query.get('page', '1')) page_size = int(request.query.get('page_size', '20')) sort_by = request.query.get('sort_by', 'date') search = request.query.get('search', None) # Get paginated data result = await self.recipe_scanner.get_paginated_data( page=page, page_size=page_size, sort_by=sort_by, search=search ) # Format the response data with static URLs for file paths for item in result['items']: # Always ensure file_url is set if 'file_path' in item: item['file_url'] = self._format_recipe_file_url(item['file_path']) else: item['file_url'] = '/loras_static/images/no-preview.png' # 确保 loras 数组存在 if 'loras' not in item: item['loras'] = [] # 确保有 base_model 字段 if 'base_model' not in item: item['base_model'] = "" return web.json_response(result) except Exception as e: logger.error(f"Error retrieving recipes: {e}", exc_info=True) print(f"API Error: {e}", file=sys.stderr) return web.json_response({"error": str(e)}, status=500) async def get_recipe_detail(self, request: web.Request) -> web.Response: """Get detailed information about a specific recipe""" try: recipe_id = request.match_info['recipe_id'] # Get all recipes from cache cache = await self.recipe_scanner.get_cached_data() # Find the specific recipe recipe = next((r for r in cache.raw_data if str(r.get('id', '')) == recipe_id), None) if not recipe: return web.json_response({"error": "Recipe not found"}, status=404) # Format recipe data formatted_recipe = self._format_recipe_data(recipe) return web.json_response(formatted_recipe) except Exception as e: logger.error(f"Error retrieving recipe details: {e}", exc_info=True) return web.json_response({"error": str(e)}, status=500) def _format_recipe_file_url(self, file_path: str) -> str: """Format file path for recipe image as a URL""" try: # Return the file URL directly for the first lora root's preview recipes_dir = os.path.join(config.loras_roots[0], "recipes").replace(os.sep, '/') if file_path.replace(os.sep, '/').startswith(recipes_dir): relative_path = os.path.relpath(file_path, config.loras_roots[0]).replace(os.sep, '/') return f"/loras_static/root1/preview/{relative_path}" # If not in recipes dir, try to create a valid URL from the file path file_name = os.path.basename(file_path) return f"/loras_static/root1/preview/recipes/{file_name}" except Exception as e: logger.error(f"Error formatting recipe file URL: {e}", exc_info=True) return '/loras_static/images/no-preview.png' # Return default image on error def _format_recipe_data(self, recipe: Dict) -> Dict: """Format recipe data for API response""" formatted = {**recipe} # Copy all fields # Format file paths to URLs if 'file_path' in formatted: formatted['file_url'] = self._format_recipe_file_url(formatted['file_path']) # Format dates for display for date_field in ['created_date', 'modified']: if date_field in formatted: formatted[f"{date_field}_formatted"] = self._format_timestamp(formatted[date_field]) return formatted def _format_timestamp(self, timestamp: float) -> str: """Format timestamp for display""" from datetime import datetime return datetime.fromtimestamp(timestamp).strftime('%Y-%m-%d %H:%M:%S') async def analyze_recipe_image(self, request: web.Request) -> web.Response: """Analyze an uploaded image for recipe metadata""" temp_path = None try: reader = await request.multipart() field = await reader.next() if field.name != 'image': return web.json_response({ "error": "No image field found", "loras": [] }, status=400) # Create a temporary file to store the uploaded image with tempfile.NamedTemporaryFile(delete=False, suffix='.jpg') as temp_file: while True: chunk = await field.read_chunk() if not chunk: break temp_file.write(chunk) temp_path = temp_file.name # Extract metadata from the image using ExifUtils user_comment = ExifUtils.extract_user_comment(temp_path) # If no metadata found, return a more specific error if not user_comment: return web.json_response({ "error": "No metadata found in this image", "loras": [] # Return empty loras array to prevent client-side errors }, status=200) # Return 200 instead of 400 to handle gracefully # Parse the recipe metadata metadata = ExifUtils.parse_recipe_metadata(user_comment) # Look for Civitai resources in the metadata civitai_resources = metadata.get('loras', []) checkpoint = metadata.get('checkpoint') if not civitai_resources and not checkpoint: return web.json_response({ "error": "No LoRA information found in this image", "loras": [] # Return empty loras array }, status=200) # Return 200 instead of 400 # Process the resources to get LoRA information loras = [] base_model = None # Set base model from checkpoint if available if checkpoint: base_model = checkpoint.get('modelName', '') # Process LoRAs for resource in civitai_resources: # Get model version ID model_version_id = resource.get('modelVersionId') if not model_version_id: continue # Get additional info from Civitai civitai_info = await self.civitai_client.get_model_version_info(model_version_id) # Check if this LoRA exists locally by SHA256 hash exists_locally = False local_path = "" if civitai_info and 'files' in civitai_info and civitai_info['files']: sha256 = civitai_info['files'][0].get('hashes', {}).get('SHA256', '') if sha256: sha256 = sha256.lower() # Convert to lowercase for consistency exists_locally = self.recipe_scanner._lora_scanner.has_lora_hash(sha256) if exists_locally: local_path = self.recipe_scanner._lora_scanner.get_lora_path_by_hash(sha256) or "" # Create LoRA entry lora_entry = { 'id': model_version_id, 'name': resource.get('modelName', ''), 'version': resource.get('modelVersionName', ''), 'type': resource.get('type', 'lora'), 'weight': resource.get('weight', 1.0), 'existsLocally': exists_locally, 'localPath': local_path, 'thumbnailUrl': '', 'baseModel': '', 'size': 0, 'downloadUrl': '' } # Add Civitai info if available if civitai_info: # Get thumbnail URL from first image if 'images' in civitai_info and civitai_info['images']: lora_entry['thumbnailUrl'] = civitai_info['images'][0].get('url', '') # Get base model lora_entry['baseModel'] = civitai_info.get('baseModel', '') # Get file size if 'files' in civitai_info and civitai_info['files']: lora_entry['size'] = civitai_info['files'][0].get('sizeKB', 0) * 1024 # Get download URL lora_entry['downloadUrl'] = civitai_info.get('downloadUrl', '') loras.append(lora_entry) return web.json_response({ 'base_model': base_model, 'loras': loras }) except Exception as e: logger.error(f"Error analyzing recipe image: {e}", exc_info=True) return web.json_response({ "error": str(e), "loras": [] # Return empty loras array to prevent client-side errors }, status=500) finally: # Clean up the temporary file in the finally block if temp_path and os.path.exists(temp_path): try: os.unlink(temp_path) except Exception as e: logger.error(f"Error deleting temporary file: {e}") async def download_missing_loras(self, request: web.Request) -> web.Response: """Download missing LoRAs for a recipe""" try: data = await request.json() loras = data.get('loras', []) lora_root = data.get('lora_root', '') relative_path = data.get('relative_path', '') if not loras: return web.json_response({"error": "No LoRAs specified"}, status=400) if not lora_root: return web.json_response({"error": "No LoRA root directory specified"}, status=400) # Create target directory if it doesn't exist target_dir = os.path.join(lora_root, relative_path) if relative_path else lora_root os.makedirs(target_dir, exist_ok=True) # Download each LoRA downloaded = [] for lora in loras: download_url = lora.get('downloadUrl') if not download_url: continue # Generate filename from LoRA name filename = f"{lora.get('name', 'lora')}.safetensors" filename = filename.replace(' ', '_').replace('/', '_').replace('\\', '_') # Download the file target_path = os.path.join(target_dir, filename) async with aiohttp.ClientSession() as session: async with session.get(download_url, allow_redirects=True) as response: if response.status != 200: continue with open(target_path, 'wb') as f: while True: chunk = await response.content.read(1024 * 1024) # 1MB chunks if not chunk: break f.write(chunk) downloaded.append({ 'id': lora.get('id'), 'localPath': target_path }) return web.json_response({ 'downloaded': downloaded }) except Exception as e: logger.error(f"Error downloading missing LoRAs: {e}", exc_info=True) return web.json_response({"error": str(e)}, status=500) async def save_recipe(self, request: web.Request) -> web.Response: """Save a recipe to the recipes folder""" try: reader = await request.multipart() # Process form data image = None name = None tags = [] recipe_data = None while True: field = await reader.next() if field is None: break if field.name == 'image': # Read image data image_data = b'' while True: chunk = await field.read_chunk() if not chunk: break image_data += chunk image = image_data elif field.name == 'name': name = await field.text() elif field.name == 'tags': tags_text = await field.text() try: tags = json.loads(tags_text) except: tags = [] elif field.name == 'recipe_data': recipe_data_text = await field.text() try: recipe_data = json.loads(recipe_data_text) except: recipe_data = {} if not image or not name or not recipe_data: return web.json_response({"error": "Missing required fields"}, status=400) # Create recipes directory if it doesn't exist recipes_dir = os.path.join(config.loras_roots[0], "recipes") os.makedirs(recipes_dir, exist_ok=True) # Generate filename from recipe name filename = f"{name}.jpg" filename = filename.replace(' ', '_').replace('/', '_').replace('\\', '_') # Ensure filename is unique counter = 1 base_name, ext = os.path.splitext(filename) while os.path.exists(os.path.join(recipes_dir, filename)): filename = f"{base_name}_{counter}{ext}" counter += 1 # Save the image target_path = os.path.join(recipes_dir, filename) with open(target_path, 'wb') as f: f.write(image) # Add metadata to the image from PIL import Image from PIL.ExifTags import TAGS from piexif import dump, load import piexif.helper # Prepare metadata metadata = { 'recipe_name': name, 'recipe_tags': json.dumps(tags), 'recipe_data': json.dumps(recipe_data), 'created_date': str(time.time()) } # Write metadata to image img = Image.open(target_path) exif_dict = {"0th": {}, "Exif": {}, "GPS": {}, "1st": {}, "thumbnail": None} for key, value in metadata.items(): exif_dict["0th"][piexif.ImageIFD.XPComment] = piexif.helper.UserComment.dump( json.dumps({key: value}) ) exif_bytes = dump(exif_dict) img.save(target_path, exif=exif_bytes) # Force refresh the recipe cache await self.recipe_scanner.get_cached_data(force_refresh=True) return web.json_response({ 'success': True, 'file_path': target_path }) except Exception as e: logger.error(f"Error saving recipe: {e}", exc_info=True) return web.json_response({"error": str(e)}, status=500)