submit_temp_site_task
Submit temporary cleaning tasks for GS robots by providing site, map, and area information to execute specific cleaning operations.
Instructions
Submits a temporary task with site information for S-line robots.
Args:
task_data: Task data including site, map, and area information.
Returns:
A dictionary containing the task submission result.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| task_data | Yes |
Implementation Reference
- src/gs_openapi/main.py:119-129 (handler)MCP tool handler for submit_temp_site_task, decorated with @mcp.tool(). Delegates execution to the underlying GausiumMCP instance method.@mcp.tool() async def submit_temp_site_task(task_data: dict): """Submits a temporary task with site information for S-line robots. Args: task_data: Task data including site, map, and area information. Returns: A dictionary containing the task submission result. """ return await mcp.submit_temp_site_task(task_data=task_data)
- Core implementation of submit_temp_site_task in GausiumMCP class. Performs validation and calls the GausiumAPIClient with the corresponding endpoint.async def submit_temp_site_task( self, task_data: Dict[str, Any] ) -> Dict[str, Any]: """ S线有站点临时任务下发。 Args: task_data: 任务数据，包含站点、地图、区域等信息 Returns: 任务下发结果 Raises: ValueError: 任务数据无效 httpx.HTTPStatusError: API调用错误 httpx.RequestError: 网络问题 """ if not task_data: raise ValueError("Task data cannot be empty") async with GausiumAPIClient() as client: return await client.call_endpoint( 'submit_temp_site_task', json_data=task_data )
- API endpoint schema/definition for the submit_temp_site_task, specifying path, method, version, used by the API client.'submit_temp_site_task': APIEndpoint( name="submit_temp_site_task", path="tasks/temporary/site", method=HTTPMethod.POST, version=APIVersion.V1_ALPHA1, description="S线有站点临时任务下发"
- Usage of submit_temp_site_task endpoint within the S-line site task workflow execution.task_result = await client.call_endpoint( 'submit_temp_site_task', json_data=task_data )