diff --git a/docs/en/docs/project-generation.md b/docs/en/docs/project-generation.md index 8ba34fa11..d142862ee 100644 --- a/docs/en/docs/project-generation.md +++ b/docs/en/docs/project-generation.md @@ -1,84 +1,27 @@ -# Project Generation - Template - -You can use a project generator to get started, as it includes a lot of the initial set up, security, database and some API endpoints already done for you. - -A project generator will always have a very opinionated setup that you should update and adapt for your own needs, but it might be a good starting point for your project. - -## Full Stack FastAPI PostgreSQL - -GitHub: https://github.com/tiangolo/full-stack-fastapi-postgresql - -### Full Stack FastAPI PostgreSQL - Features - -* Full **Docker** integration (Docker based). -* Docker Swarm Mode deployment. -* **Docker Compose** integration and optimization for local development. -* **Production ready** Python web server using Uvicorn and Gunicorn. -* Python **FastAPI** backend: - * **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). - * **Intuitive**: Great editor support. Completion everywhere. Less time debugging. - * **Easy**: Designed to be easy to use and learn. Less time reading docs. - * **Short**: Minimize code duplication. Multiple features from each parameter declaration. - * **Robust**: Get production-ready code. With automatic interactive documentation. - * **Standards-based**: Based on (and fully compatible with) the open standards for APIs: OpenAPI and JSON Schema. - * **Many other features** including automatic validation, serialization, interactive documentation, authentication with OAuth2 JWT tokens, etc. -* **Secure password** hashing by default. -* **JWT token** authentication. -* **SQLAlchemy** models (independent of Flask extensions, so they can be used with Celery workers directly). -* Basic starting models for users (modify and remove as you need). -* **Alembic** migrations. -* **CORS** (Cross Origin Resource Sharing). -* **Celery** worker that can import and use models and code from the rest of the backend selectively. -* REST backend tests based on **Pytest**, integrated with Docker, so you can test the full API interaction, independent on the database. As it runs in Docker, it can build a new data store from scratch each time (so you can use ElasticSearch, MongoDB, CouchDB, or whatever you want, and just test that the API works). -* Easy Python integration with **Jupyter Kernels** for remote or in-Docker development with extensions like Atom Hydrogen or Visual Studio Code Jupyter. -* **Vue** frontend: - * Generated with Vue CLI. - * **JWT Authentication** handling. - * Login view. - * After login, main dashboard view. - * Main dashboard with user creation and edition. - * Self user edition. - * **Vuex**. - * **Vue-router**. - * **Vuetify** for beautiful material design components. - * **TypeScript**. - * Docker server based on **Nginx** (configured to play nicely with Vue-router). - * Docker multi-stage building, so you don't need to save or commit compiled code. - * Frontend tests ran at build time (can be disabled too). - * Made as modular as possible, so it works out of the box, but you can re-generate with Vue CLI or create it as you need, and re-use what you want. -* **PGAdmin** for PostgreSQL database, you can modify it to use PHPMyAdmin and MySQL easily. -* **Flower** for Celery jobs monitoring. -* Load balancing between frontend and backend with **Traefik**, so you can have both under the same domain, separated by path, but served by different containers. -* Traefik integration, including Let's Encrypt **HTTPS** certificates automatic generation. -* GitLab **CI** (continuous integration), including frontend and backend testing. - -## Full Stack FastAPI Couchbase - -GitHub: https://github.com/tiangolo/full-stack-fastapi-couchbase - -⚠️ **WARNING** ⚠️ - -If you are starting a new project from scratch, check the alternatives here. - -For example, the project generator Full Stack FastAPI PostgreSQL might be a better alternative, as it is actively maintained and used. And it includes all the new features and improvements. - -You are still free to use the Couchbase-based generator if you want to, it should probably still work fine, and if you already have a project generated with it that's fine as well (and you probably already updated it to suit your needs). - -You can read more about it in the docs for the repo. - -## Full Stack FastAPI MongoDB - -...might come later, depending on my time availability and other factors. 😅 🎉 - -## Machine Learning models with spaCy and FastAPI - -GitHub: https://github.com/microsoft/cookiecutter-spacy-fastapi - -### Machine Learning models with spaCy and FastAPI - Features - -* **spaCy** NER model integration. -* **Azure Cognitive Search** request format built in. -* **Production ready** Python web server using Uvicorn and Gunicorn. -* **Azure DevOps** Kubernetes (AKS) CI/CD deployment built in. -* **Multilingual** Easily choose one of spaCy's built in languages during project setup. -* **Easily extensible** to other model frameworks (Pytorch, Tensorflow), not just spaCy. +# Full Stack FastAPI Template + +Templates, while typically come with a specific setup, are designed to be flexible and customizable. This allows you to modify and adapt them to your project's requirements, making them an excellent starting point. 🏁 + +You can use this template to get started, as it includes a lot of the initial set up, security, database and some API endpoints already done for you. + +GitHub Repository: Full Stack FastAPI Template + +## Full Stack FastAPI Template - Technology Stack and Features + +- ⚡ [**FastAPI**](https://fastapi.tiangolo.com) for the Python backend API. + - 🧰 [SQLModel](https://sqlmodel.tiangolo.com) for the Python SQL database interactions (ORM). + - 🔍 [Pydantic](https://docs.pydantic.dev), used by FastAPI, for the data validation and settings management. + - 💾 [PostgreSQL](https://www.postgresql.org) as the SQL database. +- 🚀 [React](https://react.dev) for the frontend. + - 💃 Using TypeScript, hooks, Vite, and other parts of a modern frontend stack. + - 🎨 [Chakra UI](https://chakra-ui.com) for the frontend components. + - 🤖 An automatically generated frontend client. + - 🦇 Dark mode support. +- 🐋 [Docker Compose](https://www.docker.com) for development and production. +- 🔒 Secure password hashing by default. +- 🔑 JWT token authentication. +- 📫 Email based password recovery. +- ✅ Tests with [Pytest](https://pytest.org). +- 📞 [Traefik](https://traefik.io) as a reverse proxy / load balancer. +- 🚢 Deployment instructions using Docker Compose, including how to set up a frontend Traefik proxy to handle automatic HTTPS certificates. +- 🏭 CI (continuous integration) and CD (continuous deployment) based on GitHub Actions.