add: AnySearch-Skill

app/agent/prompt/transfer_redo.py

@@ -0,0 +1,87 @@
+"""整理记录 AI 重新整理提示词构造。"""
+from typing import Any
+
+from app.agent.prompt import prompt_manager
+
+
+def build_manual_redo_template_context(history: Any) -> dict[str, int | str]:
+    """把整理历史对象映射成 System Tasks 需要的模板变量。"""
+    src_fileitem = history.src_fileitem or {}
+    dest_fileitem = history.dest_fileitem or {}
+    source_path = src_fileitem.get("path") if isinstance(src_fileitem, dict) else ""
+    source_storage = history.src_storage or "local"
+    if history.status and history.mode == "move":
+        dest_path = dest_fileitem.get("path") if isinstance(dest_fileitem, dict) else ""
+        if dest_path:
+            source_path = dest_path
+            source_storage = history.dest_storage or "local"
+    source_path = source_path or history.src or ""
+    season_episode = f"{history.seasons or ''}{history.episodes or ''}".strip()
+    return {
+        "history_id": history.id,
+        "current_status": "success" if history.status else "failed",
+        "recognized_title": history.title or "unknown",
+        "media_type": history.type or "unknown",
+        "category": history.category or "unknown",
+        "year": history.year or "unknown",
+        "season_episode": season_episode or "unknown",
+        "source_path": source_path or "unknown",
+        "source_storage": source_storage,
+        "destination_path": history.dest or "unknown",
+        "destination_storage": history.dest_storage or "unknown",
+        "transfer_mode": history.mode or "unknown",
+        "tmdbid": history.tmdbid or "none",
+        "doubanid": history.doubanid or "none",
+        "error_message": history.errmsg or "none",
+    }
+
+
+def format_manual_redo_record_context(history: Any) -> str:
+    """把单条整理记录格式化为批量任务可直接消费的上下文块。"""
+    context = build_manual_redo_template_context(history)
+    return "\n".join(
+        [
+            f"Record #{context['history_id']}:",
+            f"- Current status: {context['current_status']}",
+            f"- Current recognized title: {context['recognized_title']}",
+            f"- Media type: {context['media_type']}",
+            f"- Category: {context['category']}",
+            f"- Year: {context['year']}",
+            f"- Season/Episode: {context['season_episode']}",
+            f"- Source path: {context['source_path']}",
+            f"- Source storage: {context['source_storage']}",
+            f"- Destination path: {context['destination_path']}",
+            f"- Destination storage: {context['destination_storage']}",
+            f"- Transfer mode: {context['transfer_mode']}",
+            f"- Current TMDB ID: {context['tmdbid']}",
+            f"- Current Douban ID: {context['doubanid']}",
+            f"- Error message: {context['error_message']}",
+        ]
+    )
+
+
+def build_manual_redo_prompt(history: Any) -> str:
+    """构建手动 AI 整理提示词。"""
+    return prompt_manager.render_system_task_message(
+        "manual_transfer_redo",
+        template_context=build_manual_redo_template_context(history),
+    )
+
+
+def build_batch_manual_redo_template_context(histories: list[Any]) -> dict[str, int | str]:
+    """把多条整理历史对象映射成批量 System Tasks 需要的模板变量。"""
+    return {
+        "history_ids_csv": ", ".join(str(history.id) for history in histories),
+        "history_count": len(histories),
+        "records_context": "\n\n".join(
+            format_manual_redo_record_context(history) for history in histories
+        ),
+    }
+
+
+def build_batch_manual_redo_prompt(histories: list[Any]) -> str:
+    """构建批量手动 AI 整理提示词。"""
+    return prompt_manager.render_system_task_message(
+        "batch_manual_transfer_redo",
+        template_context=build_batch_manual_redo_template_context(histories),
+    )

app/agent/tools/impl/delete_transfer_history.py

@@ -6,8 +6,10 @@ from pydantic import BaseModel, Field
 
 from app.agent.tools.base import MoviePilotTool
 from app.agent.tools.tags import ToolTag
+from app.chain.storage import StorageChain
 from app.db.transferhistory_oper import TransferHistoryOper
 from app.log import logger
+from app.schemas import FileItem
 
 
 class DeleteTransferHistoryInput(BaseModel):
@@ -27,7 +29,11 @@ class DeleteTransferHistoryTool(MoviePilotTool):
         ToolTag.Transfer,
         ToolTag.Admin,
     ]
-    description: str = "Delete a specific transfer history record by its ID. This is useful when you need to remove a failed transfer record before retrying the transfer, as the system skips files that already have transfer history."
+    description: str = (
+        "Delete a specific transfer history record by its ID. For non-successful-move records with an old "
+        "destination file, the tool removes that media-library file before deleting the history record. This is "
+        "useful before retrying or re-organizing because the system skips files that already have transfer history."
+    )
     args_schema: Type[BaseModel] = DeleteTransferHistoryInput
     require_admin: bool = True
 
@@ -48,10 +54,21 @@ class DeleteTransferHistoryTool(MoviePilotTool):
             title = history.title or "未知"
             src = history.src or "未知"
             status = "成功" if history.status else "失败"
+            deleted_dest = False
+            if history.dest_fileitem and not (history.status and history.mode == "move"):
+                dest_fileitem = FileItem(**history.dest_fileitem)
+                storage_chain = StorageChain()
+                if storage_chain.exists(dest_fileitem):
+                    if not storage_chain.delete_media_file(dest_fileitem):
+                        return f"错误：旧媒体库文件删除失败，路径={dest_fileitem.path}"
+                    deleted_dest = True
             await transferhis.async_delete(history_id)
-            return (
+            message = (
                 f"已删除整理历史记录：ID={history_id}，标题={title}，源路径={src}，状态={status}"
             )
+            if deleted_dest:
+                message += "，已删除旧媒体库文件"
+            return message
         except Exception as e:
             logger.error(f"删除整理历史记录失败: {e}", exc_info=True)
             return f"删除整理历史记录时发生错误: {str(e)}"

app/api/endpoints/history.py

@@ -8,7 +8,11 @@ from sqlalchemy.ext.asyncio import AsyncSession
 from sqlalchemy.orm import Session
 
 from app import schemas
-from app.agent import ReplyMode, prompt_manager, agent_manager
+from app.agent import ReplyMode, agent_manager
+from app.agent.prompt.transfer_redo import (
+    build_batch_manual_redo_prompt,
+    build_manual_redo_prompt,
+)
 from app.chain.storage import StorageChain
 from app.core.config import settings, global_vars
 from app.core.event import eventmanager
@@ -37,86 +41,6 @@ def normalize_history_ids(history_ids: list[int]) -> list[int]:
     return normalized_ids
 
 
-def build_manual_redo_template_context(
-    history: TransferHistory,
-) -> dict[str, int | str]:
-    """仅负责把整理历史对象映射成 System Tasks 需要的模板变量。"""
-    src_fileitem = history.src_fileitem or {}
-    source_path = src_fileitem.get("path") if isinstance(src_fileitem, dict) else ""
-    source_path = source_path or history.src or ""
-    season_episode = f"{history.seasons or ''}{history.episodes or ''}".strip()
-    return {
-        "history_id": history.id,
-        "current_status": "success" if history.status else "failed",
-        "recognized_title": history.title or "unknown",
-        "media_type": history.type or "unknown",
-        "category": history.category or "unknown",
-        "year": history.year or "unknown",
-        "season_episode": season_episode or "unknown",
-        "source_path": source_path or "unknown",
-        "source_storage": history.src_storage or "local",
-        "destination_path": history.dest or "unknown",
-        "destination_storage": history.dest_storage or "unknown",
-        "transfer_mode": history.mode or "unknown",
-        "tmdbid": history.tmdbid or "none",
-        "doubanid": history.doubanid or "none",
-        "error_message": history.errmsg or "none",
-    }
-
-
-def format_manual_redo_record_context(history: Any) -> str:
-    """把单条整理记录格式化为批量任务可直接消费的上下文块。"""
-    context = build_manual_redo_template_context(history)
-    return "\n".join(
-        [
-            f"Record #{context['history_id']}:",
-            f"- Current status: {context['current_status']}",
-            f"- Current recognized title: {context['recognized_title']}",
-            f"- Media type: {context['media_type']}",
-            f"- Category: {context['category']}",
-            f"- Year: {context['year']}",
-            f"- Season/Episode: {context['season_episode']}",
-            f"- Source path: {context['source_path']}",
-            f"- Source storage: {context['source_storage']}",
-            f"- Destination path: {context['destination_path']}",
-            f"- Destination storage: {context['destination_storage']}",
-            f"- Transfer mode: {context['transfer_mode']}",
-            f"- Current TMDB ID: {context['tmdbid']}",
-            f"- Current Douban ID: {context['doubanid']}",
-            f"- Error message: {context['error_message']}",
-        ]
-    )
-
-
-def build_manual_redo_prompt(history: Any) -> str:
-    """构建手动 AI 整理提示词。"""
-    return prompt_manager.render_system_task_message(
-        "manual_transfer_redo",
-        template_context=build_manual_redo_template_context(history),
-    )
-
-
-def build_batch_manual_redo_template_context(
-    histories: list[Any],
-) -> dict[str, int | str]:
-    """仅负责把多条整理历史对象映射成批量 System Tasks 需要的模板变量。"""
-    return {
-        "history_ids_csv": ", ".join(str(history.id) for history in histories),
-        "history_count": len(histories),
-        "records_context": "\n\n".join(
-            format_manual_redo_record_context(history) for history in histories
-        ),
-    }
-
-
-def build_batch_manual_redo_prompt(histories: list[Any]) -> str:
-    """构建批量手动 AI 整理提示词。"""
-    return prompt_manager.render_system_task_message(
-        "batch_manual_transfer_redo",
-        template_context=build_batch_manual_redo_template_context(histories),
-    )
-
-
 def _start_ai_redo_task(history_id: int, prompt: str, progress_key: str):
     """在后台线程中启动单条 AI 重新整理任务，并通过 ProgressHelper 实时更新进度。"""
     progress = ProgressHelper(progress_key)

app/chain/message.py

@@ -11,8 +11,9 @@ from pathlib import Path
 from typing import Any, Optional, Dict, Union, List, Tuple
 from urllib.parse import unquote, urlparse
 
-from app.agent import ReplyMode, agent_manager, prompt_manager
+from app.agent import ReplyMode, agent_manager
 from app.agent.llm import AgentCapabilityManager, LLMHelper
+from app.agent.prompt.transfer_redo import build_manual_redo_prompt
 from app.chain import ChainBase
 from app.chain.download import DownloadChain
 from app.chain.media import MediaChain
@@ -872,36 +873,6 @@ class MessageChain(ChainBase):
         由智能助手接管一条失败的整理记录。
         """
 
-        def __build_manual_redo_prompt(his: TransferHistory) -> str:
-            """构建手动 AI 整理提示词。"""
-
-            src_fileitem = his.src_fileitem or {}
-            source_path = src_fileitem.get("path") if isinstance(src_fileitem, dict) else ""
-            source_path = source_path or his.src or ""
-            season_episode = f"{his.seasons or ''}{his.episodes or ''}".strip()
-            # 键名必须与 System Tasks.yaml 中 manual_transfer_redo 模板的占位符一致
-            template_context = {
-                "history_id": his.id,
-                "current_status": "success" if his.status else "failed",
-                "recognized_title": his.title or "unknown",
-                "media_type": his.type or "unknown",
-                "category": his.category or "unknown",
-                "year": his.year or "unknown",
-                "season_episode": season_episode or "unknown",
-                "source_path": source_path or "unknown",
-                "source_storage": his.src_storage or "local",
-                "destination_path": his.dest or "unknown",
-                "destination_storage": his.dest_storage or "unknown",
-                "transfer_mode": his.mode or "unknown",
-                "tmdbid": his.tmdbid or "none",
-                "doubanid": his.doubanid or "none",
-                "error_message": his.errmsg or "none",
-            }
-            return prompt_manager.render_system_task_message(
-                "manual_transfer_redo",
-                template_context=template_context,
-            )
-
         if not settings.AI_AGENT_ENABLE:
             self.post_message(
                 Notification(
@@ -931,7 +902,7 @@ class MessageChain(ChainBase):
             )
             return
 
-        redo_prompt = __build_manual_redo_prompt(history)
+        redo_prompt = build_manual_redo_prompt(history)
 
         self.post_message(
             Notification(