pygeoapi is a Python server implementation of the OGC API suite of standards. The project emerged as part of the next generation OGC API efforts in 2018 and provides the capability for organizations to deploy a RESTful OGC API endpoint using OpenAPI, GeoJSON, and HTML. pygeoapi is open source and released under an MIT license.
virtualenv -p python pygeoapi
cd pygeoapi
. bin/activate
git clone https://github.com/geopython/pygeoapi.git
cd pygeoapi
pip install -r requirements.txt
pip install -r requirements-dev.txt
# install provider requirements accordingly from requirements-provider.txt
# install starlette requirements accordingly from requirements-starlette.txt
pip install -e .
cp pygeoapi-config.yml local.config.yml
vi local.config.yml
# TODO: what is most important to edit?
export PYGEOAPI_CONFIG=$(pwd)/local.config.yml
# generate OpenAPI Document
pygeoapi generate-openapi-document -c local.config.yml > openapi.yml
export PYGEOAPI_OPENAPI=$(pwd)/openapi.yml
pygeoapi serveTry the swagger ui at http://localhost:5000/ui
or
# feature collection metadata
curl http://localhost:5000/
# conformance
curl http://localhost:5000/conformance
# feature collection
curl http://localhost:5000/collections/countries
# feature collection limit 100
curl http://localhost:5000/collections/countries/items?limit=100
# feature
curl http://localhost:5000/collections/countries/items/1
# number of hits
curl http://localhost:5000/collections/countries/items?resulttype=hits
docker pull swaggerapi/swagger-ui
docker run -p 80:8080 swaggerapi/swagger-ui
# go to http://localhost
# enter http://localhost:5000/openapi and click 'Explore'There is a demo server on https://demo.pygeoapi.io running the latest (Docker) version
from the master branch of this repo. pygeoapi runs there at https://demo.pygeoapi.io/master.
The demo server setup and config is maintained within a seperate GH repo: https://github.com/geopython/demo.pygeoapi.io.
Best/easiest way to run pygeoapi is to use Docker. On DockerHub pygeoapi Docker Images are available.
Please read the docker/README for details of the Docker implementation.
Unit tests are run using pytest from the top project folder:
pytest tests
NB beware that some tests require Provider dependencies (libraries) to be available and that the ElasticSearch and Postgres tests require their respective backend servers running.
Environment variables are set in the file pytest.ini.