Your task is to create two microservices that exchange data. The microservices should be implemented in Python and should use a queue for communication. The expected output is a complete Python application, including tests and documentation. Requirements

1. You should implement two microservices, one to produce data and one to consume data. The producer should be able to generate a message and send it to a queue. The consumer should be able to receive and acknowledge the message from the queue after processing it.
2. You should use a queue to communicate between the two microservices. You can use any queue technology that you are familiar with.
3. You should use Python 3.9 or higher to implement the microservices.
4. You should provide comprehensive tests for your code.
5. You should provide documentation for your code, including instructions on how to set up and run the microservices.
6. Additional marks will be given for the use of AWS services, Docker, and any Python packaging. Submission You have 24 hours to complete the task. Please submit your code as a Gitlab repository or as a compressed archive file. The repository should include a README file that explains how to set up and run the microservices. Evaluation
7. Your submission will be evaluated based on the following criteria:
8. Functionality: Does your code meet the requirements and work as expected?
9. Code quality: Is your code well-structured, easy to read, and well-documented?
10. Testing: Have you provided comprehensive tests for your code?
11. Documentation: Have you provided clear and comprehensive documentation for your code?

1. Check you have pip installed
2. Install poetry

pip install poetry

or

$ curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -

3. Install dependencies

poetry install

4. Activate your virtual environment by running the command:

poetry shell

5. Make sure you have aws credentials

export AWS_ACCESS_KEY_ID=<your-access-key>
export AWS_SECRET_ACCESS_KEY=<your-secret-key>

Replace and with your actual access and secret keys.

Alternatively, you can also create a credentials file and a config file in your home directory (~/.aws/) and set the AWS_PROFILE environment variable to the name of the profile you want to use.

Example .aws profile:

[default]
aws_access_key_id = <your-access-key>
aws_secret_access_key = <your-secret-key>

6. To run your messenger queue, run the following:

python main.py

6. Run the following command to run tests

pytest tests

• Dockerize the microservices to build a container image for each microservice
  • Include all necessary dependencies and configuration
  • Create dockerfile for each microservice
  • Create a docker-compose.yml file to define and run multi-container Docker applications.
  • Use localstack to help us run an SQS container locally for testing purposes
  • Set environment variables for AWS credentials and region
  • Define three services:
    • Messenger microservice
    • Consumer microservice
    • AWS SQS container