fastgeoapi 0.0.6

fastgeoapi

fastgeoapi

A modern, high-performance geospatial API framework that extends pygeoapi with authentication, authorization, and security features using FastAPI, OpenID Connect, and Open Policy Agent (OPA) 🗺️🔒.

    

Architecture

This diagram gives an overview of the basic architecture:

Features

🔐 Security & Authentication

• OpenID Connect (OIDC) Integration - OAuth2/JWT Bearer token authentication with JWKS support
• API Key Authentication - Flexible API key-based authentication for programmatic access
• Open Policy Agent (OPA) - Policy-based authorization with fine-grained access control
• Multi-scheme Support - Seamlessly switch between authentication methods based on your needs

🚀 Performance & Modern Stack

• FastAPI Framework - High-performance async API built on Starlette and Pydantic
• Async I/O - Non-blocking operations for better scalability
• Modern Python - Python 3.12+ with type hints and modern language features
• Fast Dependency Management - UV-based tooling for lightning-fast installations

🗺️ Geospatial API Standards

• OGC API Compliance - Full support for OGC API - Features, Processes, and more
• OpenAPI Integration - Auto-generated, security-enhanced OpenAPI specifications
• Geospatial Data Access - Seamless access to vector and raster geospatial data
• pygeoapi Extension - Extends vanilla pygeoapi with enterprise-ready security

🛡️ Security Testing & Quality

• Contract Testing - Automated OpenAPI contract validation with Schemathesis
• Security Scanning - OWASP ZAP integration for continuous security testing
• Pre-commit Hooks - Code quality checks with Ruff formatting and linting
• Comprehensive Test Coverage - Full test suite with pytest and coverage reporting

Requirements

• pygeoapi
• fastapi-opa
• An OpenID Connect provider (Keycloak, WSO2, etc)
• Open Policy Agent (OPA)

Installation

You can install fastgeoapi via pip from PyPI:

pip install fastgeoapi

Development

Prerequisites

Install UV - a fast Python package installer and resolver:

macOS / Linux:

curl -sSf https://install.ultraviolet.dev | sh

Windows (PowerShell):

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Setup

After cloning the repository, use UV to install dependencies:

git clone https://github.com/geobeyond/fastgeoapi.git
cd fastgeoapi
uv sync

This automatically:

• Creates a virtual environment in .venv
• Installs all required dependencies including git-based packages from [tool.uv.sources] (pygeoapi master, pygeofilter, fencer)
• Sets up fastgeoapi in development mode

Note: For development, UV uses git-based dependencies defined in [tool.uv.sources] to get the latest features from upstream projects. The PyPI release uses stable published versions. See uv.md for more details.

Activate the Virtual Environment

macOS / Linux:

source .venv/bin/activate

Windows (PowerShell):

.venv\Scripts\Activate.ps1

Running fastgeoapi

Once Keycloak and OPA have been started, configure the required environment variables:

export PYGEOAPI_CONFIG=pygeoapi-config.yml
export PYGEOAPI_OPENAPI=pygeoapi-openapi.yml
export FASTGEOAPI_CONTEXT='/geoapi'

Start fastgeoapi in development mode:

uv run fastapi run app/main.py --app app --host 0.0.0.0 --port 5000 --reload

Quick Start (Package Installation)

Install fastgeoapi:

pip install fastgeoapi

Create a .env file with the required configuration:

# Environment state: 'dev' or 'prod'
ENV_STATE=dev

# Server configuration
HOST=0.0.0.0
PORT=5000

# Logging (required)
DEV_LOG_PATH=/tmp
DEV_LOG_FILENAME=fastgeoapi.log
DEV_LOG_LEVEL=debug
DEV_LOG_ENQUEUE=true
DEV_LOG_ROTATION=1 days
DEV_LOG_RETENTION=1 months

# Pygeoapi configuration
DEV_PYGEOAPI_BASEURL=http://localhost:5000
DEV_PYGEOAPI_CONFIG=pygeoapi-config.yml
DEV_PYGEOAPI_OPENAPI=pygeoapi-openapi.yml
DEV_FASTGEOAPI_CONTEXT=/geoapi

# Authentication (choose one, all others must be false)
DEV_API_KEY_ENABLED=false
DEV_JWKS_ENABLED=false
DEV_OPA_ENABLED=false

Start the server:

fastgeoapi run

With options:

fastgeoapi run --host 0.0.0.0 --port 5000 --reload

See the Getting Started guide for complete setup instructions including authentication options and examples.

Common UV Commands

# Update dependencies
uv sync --upgrade

# View installed packages
uv pip list

# Install a new package
uv pip install package-name

# Install dev dependencies
uv pip install --group dev

For more details, see uv.md.

Release Workflow

This project uses a branching strategy with automated releases:

Branch	Target	Description
develop	TestPyPI	Development releases with .dev suffix
main	PyPI	Production releases when version is bumped

Development Releases

Push to develop branch triggers automatic publishing to TestPyPI:

git checkout develop
# Make changes
git commit -m "feat: add new feature"
git push origin develop

The workflow automatically creates a dev version (e.g., 0.0.4.dev.1733912345) and publishes to TestPyPI.

Production Releases

To create a production release on PyPI:

1. Update the version in pyproject.toml
2. Merge to main branch
3. The workflow detects the version change, creates a git tag, and publishes to PyPI

# Update version in pyproject.toml to e.g., 0.0.4
git checkout main
git merge develop
git push origin main

Both workflows use Trusted Publisher (OIDC) for secure, tokenless authentication with PyPI/TestPyPI.

Usage

Please see the Command-line Reference for details.

Please have a look at the docker-compose.yml file under scripts/iam to start the stack with Keycloak and Open Policy Agent locally. There is a README.md file that explains how to use it.

The file scripts/iam/keycloak/realm-export.json can be used to import an already configured realm into Keycloak.

The files under scripts/postman can be used to setup Postman with a configuration that is ready to perform the requests for the whole stack.

Contributing

Contributions are very welcome. To learn more, see the Contributor Guide.

License

Distributed under the terms of the MIT license, fastgeoapi is free and open-source software.

Issues

If you encounter any problems, please file an issue along with a detailed description.

Credits

This project was generated from @cjolowicz's Hypermodern Python Cookiecutter template.