.. _running: Running ======= Now we are ready to start up pygeoapi. ``pygeoapi serve`` ------------------ The ``pygeoapi serve`` command starts up an instance using Flask as the default server. pygeoapi can be served via Flask `WSGI`_ or Starlette `ASGI`_. Since pygeoapi is a Python API at its core, it can be served via numerous web server scenarios. .. note:: Changes to either of the pygeoapi or OpenAPI configurations requires a server restart (configurations are loaded once at server startup for performance). Flask WSGI ^^^^^^^^^^ Web Server Gateway Interface (WSGI) is a standard for how web servers communicate with Python applications. By having a WSGI server, HTTP requests are processed into threads/processes for better performance. Flask is a WSGI implementation which pygeoapi utilizes to communicate with the core API. .. code-block:: bash HTTP request <--> Flask (pygeoapi/flask_app.py) <--> pygeoapi API (pygeoapi/api.py) The Flask WSGI server can be run as follows: .. code-block:: bash pygeoapi serve --flask pygeoapi serve # uses Flask by default To integrate pygeoapi as part of another Flask application, use Flask blueprints: .. code-block:: python from flask import Flask from pygeoapi.flask_app import BLUEPRINT as pygeoapi_blueprint app = Flask(__name__) app.register_blueprint(pygeoapi_blueprint, url_prefix='/oapi') @app.route('/') def hello_world(): return 'Hello, World!' As a result, your application will be available at http://localhost:5000/ and pygeoapi will be available at http://localhost:5000/oapi Starlette ASGI ^^^^^^^^^^^^^^ Asynchronous Server Gateway Interface (ASGI) is standard interface between async-capable web servers, frameworks, and applications written in Python. ASGI provides the benefits of WSGI as well as asynchronous capabilities. Starlette is an ASGI implementation which pygeoapi utilizes to communicate with the core API in asynchronous mode. .. code-block:: bash HTTP request <--> Starlette (pygeoapi/starlette_app.py) <--> pygeoapi API (pygeoapi/api.py) The Starlette ASGI server can be run as follows: .. code-block:: bash pygeoapi serve --starlette To integrate pygeoapi as part of another Starlette application: .. code-block:: python from starlette.applications import Starlette from starlette.responses import PlainTextResponse from starlette.routing import Route from pygeoapi.starlette_app import app as pygeoapi_app async def homepage(request): return PlainTextResponse('Hello, World!') app = Starlette(debug=True, routes=[ Route('/', homepage), ]) app.mount('/oapi', pygeoapi_app) As a result, your application will be available at http://localhost:5000/ and pygeoapi will be available at http://localhost:5000/oapi Running in production --------------------- Running ``pygeoapi serve`` in production is not recommended or advisable. Preferred options are described below. .. seealso:: :ref:`running-with-docker` for container-based production installations. Apache and mod_wsgi ^^^^^^^^^^^^^^^^^^^ Deploying pygeoapi via `mod_wsgi`_ provides a simple approach to enabling within Apache. To deploy with mod_wsgi, your Apache instance must have mod_wsgi enabled within Apache. At this point, set up the following Python WSGI script: .. code-block:: python import os os.environ['PYGEOAPI_CONFIG'] = '/path/to/my-pygeoapi-config.yml' os.environ['PYGEOAPI_OPENAPI'] = '/path/to/my-pygeoapi-openapi.yml' from pygeoapi.flask_app import APP as application Now configure in Apache: .. code-block:: apache WSGIDaemonProcess pygeoapi processes=1 threads=1 WSGIScriptAlias /pygeoapi /path/to/pygeoapi.wsgi process-group=pygeoapi application-group=%{GLOBAL} Header set Access-Control-Allow-Origin "*" Gunicorn ^^^^^^^^ `Gunicorn`_ (for UNIX) is one of several Python WSGI HTTP servers that can be used for production environments. .. code-block:: bash HTTP request --> WSGI or ASGI server (gunicorn) <--> Flask or Starlette (pygeoapi/flask_app.py or pygeoapi/starlette_app.py) <--> pygeoapi API .. note:: Gunicorn is as easy to install as ``pip install gunicorn`` .. note:: For a complete list of WSGI server implementations, see the `WSGI server list`_. Gunicorn and Flask ^^^^^^^^^^^^^^^^^^ Gunicorn and Flask is simple to run: .. code-block:: bash gunicorn pygeoapi.flask_app:APP .. note:: For extra configuration parameters like port binding, workers, and logging please consult the `Gunicorn settings`_. Gunicorn and Starlette ^^^^^^^^^^^^^^^^^^^^^^ Running Gunicorn with Starlette requires the `Uvicorn`_ which provides async capabilities along with Gunicorn. Uvicorn includes a Gunicorn worker class allowing you to run ASGI applications, with all of Uvicorn's performance benefits, while also giving you Gunicorn's fully-featured process management. is simple to run from the command, e.g: .. code-block:: bash gunicorn pygeoapi.starlette_app:app -w 4 -k uvicorn.workers.UvicornWorker .. note:: Uvicorn is as easy to install as ``pip install uvicorn`` Django ^^^^^^ `Django`_ is a Python web framework that encourages rapid development and clean, pragmatic design. Assuming a Django install/enabled application: .. code-block:: bash pygeoapi serve --django To integrate pygeoapi as part of another Django project in a pluggable way the truly impatient developers can see `examples/django/sample_project/README.md` for a complete Django application. As a result, your Django application will be available at http://localhost:5000/ and pygeoapi will be available at http://localhost:5000/oapi Summary ------- pygeoapi has many approaches for deploying depending on your requirements. Choose one that works for you and modify accordingly. .. note:: Additional approaches are welcome and encouraged; see :ref:`contributing` for more information on how to contribute to and improve the documentation .. _`WSGI`: https://en.wikipedia.org/wiki/Web_Server_Gateway_Interface .. _`ASGI`: https://asgi.readthedocs.io .. _`Gunicorn`: https://gunicorn.org .. _`WSGI server list`: https://wsgi.readthedocs.io/en/latest/servers.html .. _`Gunicorn settings`: http://docs.gunicorn.org/en/stable/settings.html .. _`Uvicorn`: https://www.uvicorn.org .. _`mod_wsgi`: https://modwsgi.readthedocs.io .. _`Django`: https://djangoproject.com