This is the 3rd training project of "Python Developer" specialization.
Flask web app that analyzes web pages for basic SEO suitability. Just enter URL and check it out!
Deployed at: https://web-page-analyzer.up.railway.app/
- Implemented the web app using Flask and raw SQL queries
- A PostgreSQL database deployed in a Docker container
- Beautiful Soup library used for page parsing
- The code covered with tests
- CI implemented via GitHub Actions
- Deployed at Railway
This project was built using these tools:
| Tool | Description |
|---|---|
| Flask | Micro web framework |
| Jinja2 | Web template engine |
| PostgreSQL | Database management system |
| Beautiful Soup | HTML parsing package |
| Docker | Container-based platform for building apps |
| Poetry | Python dependency manager |
| Pytest | Testing framework |
| Flake8 | Linter to check code style |
| Code Climate | Clean Code verification system |
| GitHub Actions | Continuous Integration (CI) |
| Railway | Deployment platform |
The application stores data using PostgreSQL. The database schema is described in database.sql
- make install - to install dependencies
- make start - to start the application (Russian user interface)
- make start-eng - to start the application (English user interface)
- make dev - to start app on development web server
- make test - to run tests
(more service commands can be found in Makefile)