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pygeoapi/docs/source/running-with-docker.rst
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.. _running-with-docker:
Docker
======
pygeoapi provides an official `Docker`_ image which is made available on both the `geopython Docker Hub`_ and our `GitHub Container Registry`_. Additional
Docker examples can be found in the `pygeoapi GitHub repository`_, each with sample configurations, test data,
deployment scenarios and provider backends.
The `pygeoapi demo server`_ runs various services from Docker images which also serve as `useful examples`_.
.. note::
Both Docker and `Docker Compose`_ are required on your system to run pygeoapi images.
The basics
----------
The official pygeoapi Docker image will start a pygeoapi Docker container using Gunicorn on internal port 80.
Either ``IMAGE`` can be called with the ``docker`` command, ``geopython/pygeoapi`` from DockerHub or ``ghcr.io/geopython/pygeoapi`` from the GitHub Container Registry. Examples below use ``geopython/pygeoapi``.
To run with the default built-in configuration and data:
.. code-block:: bash
docker run -p 5000:80 -it geopython/pygeoapi run
# or simply
docker run -p 5000:80 -it geopython/pygeoapi
...then browse to http://localhost:5000
You can also run all unit tests to verify:
.. code-block:: bash
docker run -it geopython/pygeoapi test
Overriding the default configuration
------------------------------------
Normally you would override the ``default.config.yml`` with your own ``pygeoapi`` configuration.
This can be done via Docker Volume Mapping.
For example, if your config is in ``my.config.yml``:
.. code-block:: bash
docker run -p 5000:80 -v $(pwd)/my.config.yml:/pygeoapi/local.config.yml -it geopython/pygeoapi
For a cleaner approach, You can use ``docker-compose`` as per below:
.. code-block:: yaml
version: "3"
services:
pygeoapi:
image: geopython/pygeoapi:latest
volumes:
- ./my.config.yml:/pygeoapi/local.config.yml
ports:
- "5000:80"
Or you can create a ``Dockerfile`` extending the base image and **copy** in your configuration:
.. code-block:: dockerfile
FROM geopython/pygeoapi:latest
COPY ./my.config.yml /pygeoapi/local.config.yml
A corresponding example can be found in https://github.com/geopython/demo.pygeoapi.io/tree/master/services/pygeoapi_master
Deploying on a sub-path
-----------------------
By default the ``pygeoapi`` Docker image will run from the ``root`` path (``/``). If you need to run from a
sub-path and have all internal URLs properly configured, you can set the ``SCRIPT_NAME`` environment variable.
For example to run with ``my.config.yml`` on ``http://localhost:5000/mypygeoapi``:
.. code-block:: bash
docker run -p 5000:80 -e SCRIPT_NAME='/mypygeoapi' -v $(pwd)/my.config.yml:/pygeoapi/local.config.yml -it geopython/pygeoapi
...then browse to **http://localhost:5000/mypygeoapi**
Below is a corresponding ``docker-compose`` approach:
.. code-block:: yaml
version: "3"
services:
pygeoapi:
image: geopython/pygeoapi:latest
volumes:
- ./my.config.yml:/pygeoapi/local.config.yml
ports:
- "5000:80"
environment:
- SCRIPT_NAME=/pygeoapi
A corresponding example can be found in https://github.com/geopython/demo.pygeoapi.io/tree/master/services/pygeoapi_master
Summary
-------
Docker is an easy and reproducible approach to deploying systems.
.. note::
Additional approaches are welcome and encouraged; see :ref:`contributing` for more information on
how to contribute to and improve the documentation
.. _`Docker`: https://www.docker.com
.. _`geopython Docker Hub`: https://hub.docker.com/r/geopython/pygeoapi
.. _`GitHub Container Registry`: https://github.com/geopython/pygeoapi/pkgs/container/pygeoapi
.. _`pygeoapi GitHub repository`: https://github.com/geopython/pygeoapi
.. _`pygeoapi demo server`: https://demo.pygeoapi.io
.. _`useful examples`: https://github.com/geopython/demo.pygeoapi.io/tree/master/services
.. _`Docker Compose`: https://docs.docker.com/compose/