Reorganize python files

py/services/lora_scanner.py

@@ -0,0 +1,439 @@
+import json
+import os
+import logging
+import asyncio
+import shutil
+from typing import List, Dict, Optional
+from dataclasses import dataclass
+from operator import itemgetter
+from ..config import config
+from ..utils.file_utils import load_metadata, get_file_info
+from .lora_cache import LoraCache
+from difflib import SequenceMatcher
+
+logger = logging.getLogger(__name__)
+
+class LoraScanner:
+    """Service for scanning and managing LoRA files"""
+    
+    _instance = None
+    _lock = asyncio.Lock()
+    
+    def __new__(cls):
+        if cls._instance is None:
+            cls._instance = super().__new__(cls)
+        return cls._instance
+    
+    def __init__(self):
+        # 确保初始化只执行一次
+        if not hasattr(self, '_initialized'):
+            self._cache: Optional[LoraCache] = None
+            self._initialization_lock = asyncio.Lock()
+            self._initialization_task: Optional[asyncio.Task] = None
+            self._initialized = True
+            self.file_monitor = None  # Add this line
+
+    def set_file_monitor(self, monitor):
+        """Set file monitor instance"""
+        self.file_monitor = monitor
+
+    @classmethod
+    async def get_instance(cls):
+        """Get singleton instance with async support"""
+        async with cls._lock:
+            if cls._instance is None:
+                cls._instance = cls()
+            return cls._instance
+
+    async def  get_cached_data(self, force_refresh: bool = False) -> LoraCache:
+        """Get cached LoRA data, refresh if needed"""
+        async with self._initialization_lock:
+            
+            # 如果缓存未初始化但需要响应请求，返回空缓存
+            if self._cache is None and not force_refresh:
+                return LoraCache(
+                    raw_data=[],
+                    sorted_by_name=[],
+                    sorted_by_date=[],
+                    folders=[]
+                )
+
+            # 如果正在初始化，等待完成
+            if self._initialization_task and not self._initialization_task.done():
+                try:
+                    await self._initialization_task
+                except Exception as e:
+                    logger.error(f"Cache initialization failed: {e}")
+                    self._initialization_task = None
+            
+            if (self._cache is None or force_refresh):
+                
+                # 创建新的初始化任务
+                if not self._initialization_task or self._initialization_task.done():
+                    self._initialization_task = asyncio.create_task(self._initialize_cache())
+                
+                try:
+                    await self._initialization_task
+                except Exception as e:
+                    logger.error(f"Cache initialization failed: {e}")
+                    # 如果缓存已存在，继续使用旧缓存
+                    if self._cache is None:
+                        raise  # 如果没有缓存，则抛出异常
+            
+            return self._cache
+
+    async def _initialize_cache(self) -> None:
+        """Initialize or refresh the cache"""
+        # Scan for new data
+        raw_data = await self.scan_all_loras()
+        
+        # Update cache
+        self._cache = LoraCache(
+            raw_data=raw_data,
+            sorted_by_name=[],
+            sorted_by_date=[],
+            folders=[]
+        )
+        
+        # Call resort_cache to create sorted views
+        await self._cache.resort()
+
+    def fuzzy_match(self, text: str, pattern: str, threshold: float = 0.7) -> bool:
+        """
+        Check if text matches pattern using fuzzy matching.
+        Returns True if similarity ratio is above threshold.
+        """
+        if not pattern or not text:
+            return False
+        
+        # Convert both to lowercase for case-insensitive matching
+        text = text.lower()
+        pattern = pattern.lower()
+        
+        # Split pattern into words
+        search_words = pattern.split()
+        
+        # Check each word
+        for word in search_words:
+            # First check if word is a substring (faster)
+            if word in text:
+                continue
+            
+            # If not found as substring, try fuzzy matching
+            # Check if any part of the text matches this word
+            found_match = False
+            for text_part in text.split():
+                ratio = SequenceMatcher(None, text_part, word).ratio()
+                if ratio >= threshold:
+                    found_match = True
+                    break
+                
+            if not found_match:
+                return False
+        
+        # All words found either as substrings or fuzzy matches
+        return True
+
+    async def get_paginated_data(self, page: int, page_size: int, sort_by: str = 'name', 
+                               folder: str = None, search: str = None, fuzzy: bool = False,
+                               recursive: bool = False):
+        """Get paginated and filtered lora data
+        
+        Args:
+            page: Current page number (1-based)
+            page_size: Number of items per page
+            sort_by: Sort method ('name' or 'date')
+            folder: Filter by folder path
+            search: Search term
+            fuzzy: Use fuzzy matching for search
+            recursive: Include subfolders when folder filter is applied
+        """
+        cache = await self.get_cached_data()
+
+        # 先获取基础数据集
+        filtered_data = cache.sorted_by_date if sort_by == 'date' else cache.sorted_by_name
+        
+        # 应用文件夹过滤
+        if folder is not None:
+            if recursive:
+                # 递归模式：匹配所有以该文件夹开头的路径
+                filtered_data = [
+                    item for item in filtered_data 
+                    if item['folder'].startswith(folder + '/') or item['folder'] == folder
+                ]
+            else:
+                # 非递归模式：只匹配确切的文件夹
+                filtered_data = [
+                    item for item in filtered_data 
+                    if item['folder'] == folder
+                ]
+        
+        # 应用搜索过滤
+        if search:
+            if fuzzy:
+                filtered_data = [
+                    item for item in filtered_data 
+                    if any(
+                        self.fuzzy_match(str(value), search) 
+                        for value in [
+                            item.get('model_name', ''),
+                            item.get('base_model', '')
+                        ]
+                        if value
+                    )
+                ]
+            else:
+                # Original exact search logic
+                filtered_data = [
+                    item for item in filtered_data 
+                    if search in str(item.get('model_name', '')).lower()
+                ]
+
+        # 计算分页
+        total_items = len(filtered_data)
+        start_idx = (page - 1) * page_size
+        end_idx = min(start_idx + page_size, total_items)
+        
+        result = {
+            'items': filtered_data[start_idx:end_idx],
+            'total': total_items,
+            'page': page,
+            'page_size': page_size,
+            'total_pages': (total_items + page_size - 1) // page_size
+        }
+        
+        return result
+
+    def invalidate_cache(self):
+        """Invalidate the current cache"""
+        self._cache = None
+
+    async def scan_all_loras(self) -> List[Dict]:
+        """Scan all LoRA directories and return metadata"""
+        all_loras = []
+        
+        # 分目录异步扫描
+        scan_tasks = []
+        for loras_root in config.loras_roots:
+            task = asyncio.create_task(self._scan_directory(loras_root))
+            scan_tasks.append(task)
+            
+        for task in scan_tasks:
+            try:
+                loras = await task
+                all_loras.extend(loras)
+            except Exception as e:
+                logger.error(f"Error scanning directory: {e}")
+                
+        return all_loras
+
+    async def _scan_directory(self, root_path: str) -> List[Dict]:
+        """Scan a single directory for LoRA files"""
+        loras = []
+        original_root = root_path  # 保存原始根路径
+        
+        async def scan_recursive(path: str, visited_paths: set):
+            """递归扫描目录，避免循环链接"""
+            try:
+                real_path = os.path.realpath(path)
+                if real_path in visited_paths:
+                    logger.debug(f"Skipping already visited path: {path}")
+                    return
+                visited_paths.add(real_path)
+                
+                with os.scandir(path) as it:
+                    entries = list(it)
+                    for entry in entries:
+                        try:
+                            if entry.is_file(follow_symlinks=True) and entry.name.endswith('.safetensors'):
+                                # 使用原始路径而不是真实路径
+                                file_path = entry.path.replace(os.sep, "/")
+                                await self._process_single_file(file_path, original_root, loras)
+                                await asyncio.sleep(0)
+                            elif entry.is_dir(follow_symlinks=True):
+                                # 对于目录，使用原始路径继续扫描
+                                await scan_recursive(entry.path, visited_paths)
+                        except Exception as e:
+                            logger.error(f"Error processing entry {entry.path}: {e}")
+            except Exception as e:
+                logger.error(f"Error scanning {path}: {e}")
+
+        await scan_recursive(root_path, set())
+        return loras
+
+    async def _process_single_file(self, file_path: str, root_path: str, loras: list):
+        """处理单个文件并添加到结果列表"""
+        try:
+            result = await self._process_lora_file(file_path, root_path)
+            if result:
+                loras.append(result)
+        except Exception as e:
+            logger.error(f"Error processing {file_path}: {e}")
+
+    async def _process_lora_file(self, file_path: str, root_path: str) -> Dict:
+        """Process a single LoRA file and return its metadata"""
+        # Try loading existing metadata
+        metadata = await load_metadata(file_path)
+        
+        if metadata is None:
+            # Create new metadata if none exists
+            metadata = await get_file_info(file_path)
+        
+        # Convert to dict and add folder info
+        lora_data = metadata.to_dict()
+        rel_path = os.path.relpath(file_path, root_path)
+        folder = os.path.dirname(rel_path)
+        lora_data['folder'] = folder.replace(os.path.sep, '/')
+        
+        return lora_data
+
+    async def update_preview_in_cache(self, file_path: str, preview_url: str) -> bool:
+        """Update preview URL in cache for a specific lora
+        
+        Args:
+            file_path: The file path of the lora to update
+            preview_url: The new preview URL
+            
+        Returns:
+            bool: True if the update was successful, False if cache doesn't exist or lora wasn't found
+        """
+        if self._cache is None:
+            return False
+
+        return await self._cache.update_preview_url(file_path, preview_url)
+
+    async def scan_single_lora(self, file_path: str) -> Optional[Dict]:
+        """Scan a single LoRA file and return its metadata"""
+        try:
+            if not os.path.exists(os.path.realpath(file_path)):
+                return None
+                
+            # 获取基本文件信息
+            metadata = await get_file_info(file_path)
+            if not metadata:
+                return None
+                
+            folder = self._calculate_folder(file_path)
+                    
+            # 确保 folder 字段存在
+            metadata_dict = metadata.to_dict()
+            metadata_dict['folder'] = folder or ''
+            
+            return metadata_dict
+            
+        except Exception as e:
+            logger.error(f"Error scanning {file_path}: {e}")
+            return None
+    
+    def _calculate_folder(self, file_path: str) -> str:
+        """Calculate the folder path for a LoRA file"""
+        # 使用原始路径计算相对路径
+        for root in config.loras_roots:
+            if file_path.startswith(root):
+                rel_path = os.path.relpath(file_path, root)
+                return os.path.dirname(rel_path).replace(os.path.sep, '/')
+        return ''
+
+    async def move_model(self, source_path: str, target_path: str) -> bool:
+        """Move a model and its associated files to a new location"""
+        try:
+            # 保持原始路径格式
+            source_path = source_path.replace(os.sep, '/')
+            target_path = target_path.replace(os.sep, '/')
+            
+            # 其余代码保持不变
+            base_name = os.path.splitext(os.path.basename(source_path))[0]
+            source_dir = os.path.dirname(source_path)
+            
+            os.makedirs(target_path, exist_ok=True)
+            
+            target_lora = os.path.join(target_path, f"{base_name}.safetensors").replace(os.sep, '/')
+
+            # 使用真实路径进行文件操作
+            real_source = os.path.realpath(source_path)
+            real_target = os.path.realpath(target_lora)
+            
+            file_size = os.path.getsize(real_source)
+            
+            if self.file_monitor:
+                self.file_monitor.handler.add_ignore_path(
+                    real_source,
+                    file_size
+                )
+                self.file_monitor.handler.add_ignore_path(
+                    real_target,
+                    file_size
+                )
+            
+            # 使用真实路径进行文件操作
+            shutil.move(real_source, real_target)
+            
+            # Move associated files
+            source_metadata = os.path.join(source_dir, f"{base_name}.metadata.json")
+            if os.path.exists(source_metadata):
+                target_metadata = os.path.join(target_path, f"{base_name}.metadata.json")
+                shutil.move(source_metadata, target_metadata)
+                metadata = await self._update_metadata_paths(target_metadata, target_lora)
+            
+            # Move preview file if exists
+            preview_extensions = ['.preview.png', '.preview.jpeg', '.preview.jpg', '.preview.mp4',
+                               '.png', '.jpeg', '.jpg', '.mp4']
+            for ext in preview_extensions:
+                source_preview = os.path.join(source_dir, f"{base_name}{ext}")
+                if os.path.exists(source_preview):
+                    target_preview = os.path.join(target_path, f"{base_name}{ext}")
+                    shutil.move(source_preview, target_preview)
+                    break
+            
+            # Update cache
+            await self.update_single_lora_cache(source_path, target_lora, metadata)
+            
+            return True
+            
+        except Exception as e:
+            logger.error(f"Error moving model: {e}", exc_info=True)
+            return False
+        
+    async def update_single_lora_cache(self, original_path: str, new_path: str, metadata: Dict) -> bool:
+        cache = await self.get_cached_data()
+        cache.raw_data = [
+                        item for item in cache.raw_data 
+                        if item['file_path'] != original_path
+                    ]
+        if metadata:
+            metadata['folder'] = self._calculate_folder(new_path)
+            cache.raw_data.append(metadata)
+            all_folders = set(cache.folders)
+            all_folders.add(metadata['folder'])
+            cache.folders = sorted(list(all_folders), key=lambda x: x.lower())
+        
+        # Resort cache
+        await cache.resort()
+
+
+    async def _update_metadata_paths(self, metadata_path: str, lora_path: str) -> Dict:
+        """Update file paths in metadata file"""
+        try:
+            with open(metadata_path, 'r', encoding='utf-8') as f:
+                metadata = json.load(f)
+            
+            # Update file_path
+            metadata['file_path'] = lora_path.replace(os.sep, '/')
+            
+            # Update preview_url if exists
+            if 'preview_url' in metadata:
+                preview_dir = os.path.dirname(lora_path)
+                preview_name = os.path.splitext(os.path.basename(metadata['preview_url']))[0]
+                preview_ext = os.path.splitext(metadata['preview_url'])[1]
+                new_preview_path = os.path.join(preview_dir, f"{preview_name}{preview_ext}")
+                metadata['preview_url'] = new_preview_path.replace(os.sep, '/')
+            
+            # Save updated metadata
+            with open(metadata_path, 'w', encoding='utf-8') as f:
+                json.dump(metadata, f, indent=2, ensure_ascii=False)
+
+            return metadata
+                
+        except Exception as e:
+            logger.error(f"Error updating metadata paths: {e}", exc_info=True)
+