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  • run.py initializes the flask app and provides the context for it to run
  • poetry new is used to create the folder structure initially and is then used to manage the dependencies
  • requirements.txt is created as part of a pre-commit hook so that Docker can reconstruct the project dependencies with pip instead of having to bring in poetry during the build
  • poetry is also used to provide a local virtual environment for testing
  • The .gitignore keeps unnecessary Flask, pytest, VScode and Javascript build artifacts out of the repository
  • Most of the project itself is held inside the directory of the same name as the repository; there we have folders for:
    • static (contains all static files (.css and image files) as well as our Javascript + React + Typescript files)
    • templates (holds all the jinja files for different routes)
  • In this folder the main files for running the app are available as well
    • app.py creates the Flask application and loads any context for the application (Blueprints, database connections, testing configurations, application configuration, etc)
    • db.py creates the connection to the database we're currently working with
    • model.py defines the database schema
    • [pakage].py is for the main application logic/routes
  • CI/CD is handled by GitHub Actions in the .github folder
  • The project is deployed to Google Cloud Run and run in a container. The Dockerfile defines the build process and compilation of that container.

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Starting point for my Flask applications.

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