FastAPI with uv and Docker Boilerplate

Project with a simple Python (uv) + FastAPI + Redis + Postgres with Docker and Docker Compose.

Boilerplate to use in future projects.

Contains a Python 3.12.11 configuration with a main FastAPI entry, Pydantic Settings configuration, Postgres and Redis connection with SQLAlchemy, definition of models (with SQLAlchemy) and schemas (with pydantic) and an example of unit tests using pytest with pytest-asyncio.

Requirements

Softwares installed:

• Docker 24.0+
• Docker Compose v2 or v3

Certify yourself that the Docker daemon is running in the background before running (./cmd.core.sh or docker compose up -d).

Tools

• python 3.12.11 (slim)
• uv 0.8.22
• postgres 18.1 (alpine)
• redis 7.2 (alpine)
• Docker
• Docker Compose

Additionally (compose-tools.yaml):

• pgadmin
• redis-insight

Packages (uv)

• uvicorn[standard] 0.40.0
• fastapi 0.128.0
• psycopg[binary] 3.3.2
• redis 7.1.0
• sqlalchemy 2.0.45
• pydantic 2.12.5
• pydantic-settings 2.12.0
• pytest 9.0.2
• pytest-asyncio 1.3.0

Also consider installing:

• celery[redis]
• httpx
• alembic
• flower

Setup

• Run cmd.setup.sh
• Define the .env
• Define the database/password.txt
• Verify the python packages (add, remove etc)
• Verify the compose.yaml and compose-tools.yaml (add, remove etc) and check the: worker service and web healthcheck
• Verify the app/Dockerfile (set the CMD, change things etc)

About the worker service, it connects with:

• celery python package
• app/src/worker.py file
• worker definition at compose.yaml