feat: add new query tools for enhanced subscription management

- Introduced QuerySubscribeSharesTool, QueryPopularSubscribesTool, and QuerySubscribeHistoryTool to improve subscription querying capabilities.
- Updated __all__ exports in init.py and factory.py to include the new tools.
- Enhanced QuerySubscribesTool to support media type filtering with localized descriptions.

app/agent/tools/impl/run_workflow.py

@@ -0,0 +1,59 @@
+"""执行工作流工具"""
+
+from typing import Optional, Type
+
+from pydantic import BaseModel, Field
+
+from app.agent.tools.base import MoviePilotTool
+from app.chain.workflow import WorkflowChain
+from app.db import AsyncSessionFactory
+from app.db.workflow_oper import WorkflowOper
+from app.log import logger
+
+
+class RunWorkflowInput(BaseModel):
+    """执行工作流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")
+    workflow_identifier: str = Field(..., description="Workflow identifier: can be workflow ID (integer as string) or workflow name")
+    from_begin: Optional[bool] = Field(True, description="Whether to run workflow from the beginning (default: True, if False will continue from last executed action)")
+
+
+class RunWorkflowTool(MoviePilotTool):
+    name: str = "run_workflow"
+    description: str = "Execute a specific workflow manually. Can run workflow by ID or name. Supports running from the beginning or continuing from the last executed action."
+    args_schema: Type[BaseModel] = RunWorkflowInput
+
+    async def run(self, workflow_identifier: str,
+                  from_begin: Optional[bool] = True, **kwargs) -> str:
+        logger.info(f"执行工具: {self.name}, 参数: workflow_identifier={workflow_identifier}, from_begin={from_begin}")
+
+        try:
+            # 获取数据库会话
+            async with AsyncSessionFactory() as db:
+                workflow_oper = WorkflowOper(db)
+                
+                # 尝试解析为工作流ID
+                workflow = None
+                if workflow_identifier.isdigit():
+                    # 如果是数字，尝试作为工作流ID查询
+                    workflow = await workflow_oper.async_get(int(workflow_identifier))
+                
+                # 如果不是ID或ID查询失败，尝试按名称查询
+                if not workflow:
+                    workflow = await workflow_oper.async_get_by_name(workflow_identifier)
+                
+                if not workflow:
+                    return f"未找到工作流：{workflow_identifier}，请使用 query_workflows 工具查询可用的工作流"
+                
+                # 执行工作流
+                workflow_chain = WorkflowChain()
+                state, errmsg = workflow_chain.process(workflow.id, from_begin=from_begin)
+                
+                if not state:
+                    return f"执行工作流失败：{workflow.name} (ID: {workflow.id})\n错误原因：{errmsg}"
+                else:
+                    return f"工作流执行成功：{workflow.name} (ID: {workflow.id})"
+        except Exception as e:
+            logger.error(f"执行工作流失败: {e}", exc_info=True)
+            return f"执行工作流时发生错误: {str(e)}"
+