feat: add ScrapeMetadataTool to MoviePilotToolFactory

- Included ScrapeMetadataTool in the tool definitions of MoviePilotToolFactory to enhance metadata scraping capabilities.
- Updated the factory.py file to reflect the addition of the new tool.

app/agent/tools/impl/scrape_metadata.py

@@ -0,0 +1,118 @@
+"""刮削媒体元数据工具"""
+
+import asyncio
+import json
+from pathlib import Path
+from typing import Optional, Type
+
+from pydantic import BaseModel, Field
+
+from app.agent.tools.base import MoviePilotTool
+from app.chain.media import MediaChain
+from app.core.metainfo import MetaInfoPath
+from app.log import logger
+from app.schemas import FileItem
+
+
+class ScrapeMetadataInput(BaseModel):
+    """刮削媒体元数据工具的输入参数模型"""
+    explanation: str = Field(..., description="Clear explanation of why this tool is being used in the current context")
+    path: str = Field(..., description="Path to the file or directory to scrape metadata for (e.g., '/path/to/file.mkv' or '/path/to/directory')")
+    storage: Optional[str] = Field("local", description="Storage type: 'local' for local storage, 'smb', 'alist', etc. for remote storage (default: 'local')")
+    overwrite: Optional[bool] = Field(False, description="Whether to overwrite existing metadata files (default: False)")
+
+
+class ScrapeMetadataTool(MoviePilotTool):
+    name: str = "scrape_metadata"
+    description: str = "Scrape media metadata (NFO files, posters, backgrounds, etc.) for a file or directory. Automatically recognizes media information from the file path and generates metadata files. Supports both local and remote storage."
+    args_schema: Type[BaseModel] = ScrapeMetadataInput
+
+    def get_tool_message(self, **kwargs) -> Optional[str]:
+        """根据刮削参数生成友好的提示消息"""
+        path = kwargs.get("path", "")
+        storage = kwargs.get("storage", "local")
+        overwrite = kwargs.get("overwrite", False)
+        
+        message = f"正在刮削媒体元数据: {path}"
+        if storage != "local":
+            message += f" [存储: {storage}]"
+        if overwrite:
+            message += " [覆盖模式]"
+        
+        return message
+
+    async def run(self, path: str, storage: Optional[str] = "local",
+                  overwrite: Optional[bool] = False, **kwargs) -> str:
+        logger.info(f"执行工具: {self.name}, 参数: path={path}, storage={storage}, overwrite={overwrite}")
+        
+        try:
+            # 验证路径
+            if not path:
+                return json.dumps({
+                    "success": False,
+                    "message": "刮削路径不能为空"
+                }, ensure_ascii=False)
+            
+            # 创建 FileItem
+            fileitem = FileItem(
+                storage=storage,
+                path=path,
+                type="file" if Path(path).suffix else "dir"
+            )
+            
+            # 检查本地存储路径是否存在
+            if storage == "local":
+                scrape_path = Path(path)
+                if not scrape_path.exists():
+                    return json.dumps({
+                        "success": False,
+                        "message": f"刮削路径不存在: {path}"
+                    }, ensure_ascii=False)
+            
+            # 识别媒体信息
+            media_chain = MediaChain()
+            scrape_path = Path(path)
+            meta = MetaInfoPath(scrape_path)
+            mediainfo = await media_chain.async_recognize_by_meta(meta)
+            
+            if not mediainfo:
+                return json.dumps({
+                    "success": False,
+                    "message": f"刮削失败，无法识别媒体信息: {path}",
+                    "path": path
+                }, ensure_ascii=False)
+            
+            # 在线程池中执行同步的刮削操作
+            loop = asyncio.get_event_loop()
+            await loop.run_in_executor(
+                None,
+                lambda: media_chain.scrape_metadata(
+                    fileitem=fileitem,
+                    meta=meta,
+                    mediainfo=mediainfo,
+                    overwrite=overwrite
+                )
+            )
+            
+            return json.dumps({
+                "success": True,
+                "message": f"{path} 刮削完成",
+                "path": path,
+                "media_info": {
+                    "title": mediainfo.title,
+                    "year": mediainfo.year,
+                    "type": mediainfo.type.value if mediainfo.type else None,
+                    "tmdb_id": mediainfo.tmdb_id,
+                    "season": mediainfo.season
+                }
+            }, ensure_ascii=False, indent=2)
+        
+        except Exception as e:
+            error_message = f"刮削媒体元数据失败: {str(e)}"
+            logger.error(f"刮削媒体元数据失败: {e}", exc_info=True)
+            return json.dumps({
+                "success": False,
+                "message": error_message,
+                "path": path
+            }, ensure_ascii=False)
+