Re-implement Task Flask Server

[emrgnt-cmplxty]

Our codebase includes a server that was previously integrated with our Task workflow and provided a user-friendly interface for managing ongoing tasks. Unfortunately, we recently removed this Task workflow, including the server, due to its initial implementation being somewhat messy and incomplete. The last version of the server code can be seen here.

However, it is crucial to re-implement the Task server to efficiently manage the task processing. Below is the documentation for the original Task Server for your reference.

This Task Server was built using Flask and integrated with various components of the Task workflow including GitHub manager, Task Registry, and Task Executor. It exposed several endpoints to create, execute, and commit tasks as well as retrieve task details, task logs, and conversation details.

Key aspects of the server included:

• before_request() method to set up a GitHub manager, Task Registry, and Task Executor before each request.

• run_with_logs() method to ensure proper logging configuration in the subprocess while running the task.

• Various GET endpoints like /tasks, /task/<task_id>, /task/logs/<task_id>, /conversation/<session_id>, and /full_conversation/<session_id> to fetch all tasks, a specific task, logs of a task, conversation without a prompt, and full conversation respectively.

• /task/initialize endpoint (POST method) to initialize a task with provided parameters and run it in a subprocess.

• /task/<task_id>/execute endpoint (POST method) to execute a specific task using the Task Executor.

• /task/<task_id>/commit endpoint (POST method) to commit a specific task to a GitHub repository.

While re-implementing the server, it is critical to maintain the ease of use and efficiency of the previous server. However, we should take the opportunity to improve upon areas where the previous server was lacking. Here are some points to consider:

• Logging Configuration: The previous server had a somewhat hacky way of configuring logging, especially for subprocesses. This can be improved to make the logging more streamlined and efficient.

• Error Handling: There was not enough comprehensive error handling in the previous server implementation. It should be considered to implement more thorough error handling and provide clearer error messages.

• Code Optimization: Look for opportunities to refactor the code, reduce redundancy and improve readability and maintainability.

• Extensibility: Design the server in a way that it can be easily extended to add more endpoints in the future as per our requirements.

Let's work together to make the Task Server a robust, reliable, and efficient component of our codebase. Please feel free to add any ideas or suggestions to enhance the Task server.

As always, don't hesitate to ask if you have any questions or need further clarification. Your contributions to this project are highly valued!