full-stack-fastapi-postgresql

Generate a backend and frontend stack using Python, including interactive API documentation.

Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.

Interactive API documentation

docs

Alternative API documentation

redoc

Dashboard Login

login

Dashboard - Create User

dashboard

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.
    • It's also easy to remove it if you have an API-only app, check the instructions in the generated README.md.
  • 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.

How to use it

Go to the directory where you want to create your project and run:

pip install cookiecutter
cookiecutter https://github.com/tiangolo/full-stack-fastapi-postgresql

Generate passwords

You will be asked to provide passwords and secret keys for several components. Open another terminal and run:

openssl rand -hex 32
# Outputs something like: 99d3b1f01aa639e4a76f4fc281fc834747a543720ba4c8a8648ba755aef9be7f

Copy the contents and use that as password / secret key. And run that again to generate another secure key.

Input variables

The generator (cookiecutter) will ask you for some data, you might want to have at hand before generating the project.

The input variables, with their default values (some auto generated) are:

  • project_name: The name of the project

  • project_slug: The development friendly name of the project. By default, based on the project name

  • domain_main: The domain in where to deploy the project for production (from the branch production), used by the load balancer, backend, etc. By default, based on the project slug.

  • domain_staging: The domain in where to deploy while staging (before production) (from the branch master). By default, based on the main domain.

  • docker_swarm_stack_name_main: The name of the stack while deploying to Docker in Swarm mode for production. By default, based on the domain.

  • docker_swarm_stack_name_staging: The name of the stack while deploying to Docker in Swarm mode for staging. By default, based on the domain.

  • secret_key: Backend server secret key. Use the method above to generate it.

  • first_superuser: The first superuser generated, with it you will be able to create more users, etc. By default, based on the domain.

  • first_superuser_password: First superuser password. Use the method above to generate it.

  • backend_cors_origins: Origins (domains, more or less) that are enabled for CORS (Cross Origin Resource Sharing). This allows a frontend in one domain (e.g. https://dashboard.example.com) to communicate with this backend, that could be living in another domain (e.g. https://api.example.com). It can also be used to allow your local frontend (with a custom hosts domain mapping, as described in the project's README.md) that could be living in http://dev.example.com:8080 to communicate with the backend at https://stag.example.com. Notice the http vs https and the dev. prefix for local development vs the "staging" stag. prefix. By default, it includes origins for production, staging and development, with ports commonly used during local development by several popular frontend frameworks (Vue with :8080, React, Angular).

  • smtp_port: Port to use to send emails via SMTP. By default 587.

  • smtp_host: Host to use to send emails, it would be given by your email provider, like Mailgun, Sparkpost, etc.

  • smtp_user: The user to use in the SMTP connection. The value will be given by your email provider.

  • smtp_password: The password to be used in the SMTP connection. The value will be given by the email provider.

  • smtp_emails_from_email: The email account to use as the sender in the notification emails, it would be something like [email protected].

  • postgres_password: Postgres database password. Use the method above to generate it. (You could easily modify it to use MySQL, MariaDB, etc).

  • pgadmin_default_user: PGAdmin default user, to log-in to the PGAdmin interface.

  • pgadmin_default_user_password: PGAdmin default user password. Generate it with the method above.

  • traefik_constraint_tag: The tag to be used by the internal Traefik load balancer (for example, to divide requests between backend and frontend) for production. Used to separate this stack from any other stack you might have. This should identify each stack in each environment (production, staging, etc).

  • traefik_constraint_tag_staging: The Traefik tag to be used while on staging.

  • traefik_public_constraint_tag: The tag that should be used by stack services that should communicate with the public.

  • flower_auth: Basic HTTP authentication for flower, in the formuser:password. By default: "admin:changethis".

  • sentry_dsn: Key URL (DSN) of Sentry, for live error reporting. You can use the open source version or a free account. E.g.: https://1234abcd:[email protected]/30.

  • docker_image_prefix: Prefix to use for Docker image names. If you are using GitLab Docker registry it would be based on your code repository. E.g.: git.example.com/development-team/my-awesome-project/.

  • docker_image_backend: Docker image name for the backend. By default, it will be based on your Docker image prefix, e.g.: git.example.com/development-team/my-awesome-project/backend. And depending on your environment, a different tag will be appended ( prod, stag, branch ). So, the final image names used will be like: git.example.com/development-team/my-awesome-project/backend:prod.

  • docker_image_celeryworker: Docker image for the celery worker. By default, based on your Docker image prefix.

  • docker_image_frontend: Docker image for the frontend. By default, based on your Docker image prefix.

GitHub