Project template for three-tier web applications using Python aiohttp for the presentation layer.
- Project skeleton ready to use, to start a three tier web application using aiohttp for its presentation layer.
- Strategy to organize the application into areas (e.g. public, admin, etc.).
- Authentication and authorization strategies.
- Server side localization strategy (e.g. supported cultures by application area, culture code in routes, etc.).
- Culture code in url route; logic to validate culture and redirect when a request hits a non supported culture.
- Code organization to use YAML configuration file for the application.
- Database based session management, supporting anonymous users sessions and storing client information (user-agent).
- Antiforgery token validation (session based, dual token technique; for AJAX requests and regular form posts).
- Instructions for PostgreSQL setup.
- Script to create PostgreSQL tables for accounts, sessions, login attempts (public area and administrative area).
- Strategy to use secure cookies (HTTPS only) by configuration file.
- Strategy to show or hide error details by configuration.
- Strategy to activate / deactivate serving of static files by configuration file.
- Strategy to force refresh of clients cache (JavaScript and CSS files) by configuration file.
- Integration with Google Analytics, by configuration file.
- How to set up the development environment.
- How to set up a PostgreSQL instance.
- How to bundle and minify CSS and JavaScript files.
PostgreSQL seems to be the best supported DBMS for use with the latest versions of Python and its features for concurrency (asyncio), including the convenient async / await syntax.