Development of a Serverless Api with Aws Chalice and Python

Expectations for the Final Delivery:

A fully functional Restful api built with aws chalice in python, designed to centralize file handling and automation task information.
The api should integrate seamlessly with aws services including s3 for file storage, dynamodb for data management, and optionally sqs for message queuing, following best practices for security and performance.

Features must include a basic CRUD (Create, Read, Update, Delete) functionality for automation requests, file upload/download capabilities, and task status tracking.

Implementation of user authentication and authorization leveraging Amazon Cognito, ensuring that only authenticated users can access their respective tasks and files.

Rate limiting on api routes to prevent abuse, alongside comprehensive logging and monitoring setups using aws cloudwatch.

Automated tests covering major functionalities and documentation for the API endpoints using OpenAPI or similar tools.

The final product must be deployable with clear instructions for deployment and any necessary scripts or configuration files included.

Detailed Requirements:

Create Operation: Users can submit automation tasks along with files. Upon submission, files are stored in S3, and tasks are recorded in DynamoDB with a unique ID and status set to 'pending'.
Read Operation: Users can query the status of their task by the unique ID. The API retrieves and returns task details from DynamoDB.

Update Operation: A secured endpoint accessible by internal bots or services to update the task's status upon completion, including the option to attach output files or results.

Delete Operation: Users can delete their tasks. This should remove the record from DynamoDB and associated files from S3.

Authentication: Secure all endpoints with Amazon Cognito, with role-based access control where necessary.

Rate Limiting: Implement a basic rate limiting mechanism to prevent excessive requests from overloading the system.