startNextTask
Automates task progression by finding and initiating the next executable task with completed dependencies, updating its status to 'in_progress' within MCPlanManager's task management system.
Instructions
自动查找下一个可执行的任务（所有依赖均已完成）并开始执行。 这会将任务状态更新为 'in_progress'。这是推进计划的核心方法。
Returns: ToolResponse[TaskOutput]: 包含已启动任务的响应对象。
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Implementation Reference
- src/mcplanmanager/app.py:84-93 (handler)Tool handler function decorated with @mcp.tool() for registration and execution. Delegates to PlanManager.startNextTask().@mcp.tool() def startNextTask() -> ToolResponse[TaskOutput]: """ 自动查找下一个可执行的任务（所有依赖均已完成）并开始执行。 这会将任务状态更新为 'in_progress'。这是推进计划的核心方法。 Returns: ToolResponse[TaskOutput]: 包含已启动任务的响应对象。 """ return plan_manager.startNextTask()
- Core logic that identifies pending tasks with satisfied dependencies, marks the first one as in_progress, updates plan state, and returns the task details.def startNextTask(self) -> Dict: """自动开始下一个可执行的任务""" # 查找可执行的任务 executable_tasks = [] for task in self.plan_data["tasks"]: if (task["status"] == "pending" and self._check_dependencies_satisfied(task)): executable_tasks.append(task) if not executable_tasks: return {"success": False, "message": "No executable tasks available", "data": None} # 选择第一个可执行的任务 next_task = executable_tasks[0] next_task["status"] = "in_progress" self.plan_data["state"]["current_task_id"] = next_task["id"] self.plan_data["state"]["status"] = "running" self._update_timestamp() return { "success": True, "data": next_task, "message": f"Started task {next_task['id']}: {next_task['name']}" }
- src/mcplanmanager/models.py:33-43 (schema)Pydantic model defining the structure of a TaskOutput, used in the ToolResponse returned by startNextTask.class TaskOutput(BaseModel): """ 用于工具函数返回任务信息时，定义单个任务输出的Pydantic模型。 """ id: int name: str status: str dependencies: List[int] reasoning: str result: Optional[str] = None