mirror of
https://github.com/jxxghp/MoviePilot.git
synced 2026-03-19 19:46:55 +08:00
805c3719af
- 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.
60 lines
2.8 KiB
Python
60 lines
2.8 KiB
Python
"""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)}"
|
||
|