task

import logging app = FastAPI() # Configure logging logging.basicConfig(level=logging.INFO) class TeamTask(BaseModel): task_id: int = Field(..., gt=0) role: str = Field(..., min_length=1) @app.exception_handler(RequestValidationE…

INFO:root:Function critical_assignment took 1.000123 seconds Latency: 1.000123 seconds ``` ### Next Steps 1. **Run the Code:** - Execute the code and observe the output and logs. 2. **Modify and Test:** - Adjust the `critical_assig…

curl -X PUT "http://localhost:8000/api/v1/team-tasks/" -H "Content-Type: application/json" -d '{"task_id": -1, "role": "manager"}' ``` 3. **Invalid Input (Empty Role):** ```bash curl -X PUT "http://localhost:8000/api/v1/team-ta…

- The `add_task` method adds a new row to the DataFrame for each task and assigns a responsibility to the specified position. 4. **Getting Responsibility:** - The `get_responsibility` method retrieves the responsibility for a given t…

1. **Parallel Processing:** Use Python's `concurrent.futures` module to process tasks in parallel. 2. **Batch Processing:** Split the documents into batches to manage memory and processing load. 3. **Asynchronous Execution:** Use `asyncio` …

Here's an example implementation that uses a combination of breaking down the task and three-point estimation: ```python import datetime def estimate_subtask(subtask): # Estimate the optimistic, pessimistic, and most likely times for …