Decipher messages with Celery

This project demonstrates a basic Celery setup that is testable and observable.

The stack consists of

• Flask app that receives messages ciphered with a substitution cipher. The app triggers a Celery pipeline which implements an evolutionary algorithm for deciphering the message.
• Postgres databases for
  • storing operational data, including intermediate results between tasks,
  • a unit test database with identical schema as operational DB,
  • Celery result backend.
• RabbitMQ as the Celery broker.
• Jaeger for tracing.
• Flyway for database migrations.

Running the project

make start starts docker containers and runs the Flask app in the shell.

uv run send_cipher.py send a ciphered message to the Flask app.

Stop services

make stop