Tom Kralidis
89 lines
3.0 KiB
Markdown
89 lines
3.0 KiB
Markdown
# pygeoapi
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[](https://travis-ci.org/geopython/pygeoapi)
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<a href="https://json-ld.org"><img src="https://json-ld.org/images/json-ld-button-88.png" height="20"/></a>
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pygeoapi is a Python server implementation of the [OGC API](http://ogcapi.org) 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](https://opensource.org/) and released under an [MIT license](https://github.com/geopython/pygeoapi/blob/master/LICENSE.md).
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## Installation
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```bash
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virtualenv -p python pygeoapi
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cd pygeoapi
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. bin/activate
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git clone https://github.com/geopython/pygeoapi.git
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cd pygeoapi
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pip install -r requirements.txt
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pip install -r requirements-dev.txt
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# install provider requirements accordingly from requirements-provider.txt
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# install starlette requirements accordingly from requirements-starlette.txt
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pip install -e .
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cp pygeoapi-config.yml local.config.yml
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vi local.config.yml
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# TODO: what is most important to edit?
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export PYGEOAPI_CONFIG=$(pwd)/local.config.yml
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# generate OpenAPI Document
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pygeoapi generate-openapi-document -c local.config.yml > openapi.yml
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export PYGEOAPI_OPENAPI=$(pwd)/openapi.yml
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pygeoapi serve
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```
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## Example requests
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Try the swagger ui at `http://localhost:5000/ui`
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or
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```bash
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# feature collection metadata
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curl http://localhost:5000/
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# conformance
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curl http://localhost:5000/conformance
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# feature collection
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curl http://localhost:5000/collections/countries
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# feature collection limit 100
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curl http://localhost:5000/collections/countries/items?limit=100
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# feature
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curl http://localhost:5000/collections/countries/items/1
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# number of hits
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curl http://localhost:5000/collections/countries/items?resulttype=hits
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```
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## Exploring with Swagger UI
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```bash
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docker pull swaggerapi/swagger-ui
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docker run -p 80:8080 swaggerapi/swagger-ui
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# go to http://localhost
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# enter http://localhost:5000/openapi and click 'Explore'
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```
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## Demo Server
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There is a demo server on https://demo.pygeoapi.io running the latest (Docker) version
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from the `master` branch of this repo. `pygeoapi` runs there at https://demo.pygeoapi.io/master.
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The demo server setup and config is maintained within a seperate GH repo:
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https://github.com/geopython/demo.pygeoapi.io.
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## Docker
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Best/easiest way to run `pygeoapi` is to use Docker. On DockerHub [pygeoapi Docker Images](https://hub.docker.com/r/geopython/pygeoapi) are available.
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Please read the [docker/README](https://github.com/geopython/pygeoapi/blob/master/docker/README.md) for details of the Docker implementation.
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### Unit Testing
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Unit tests are run using `pytest` from the top project folder:
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```
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pytest tests
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```
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NB beware that some tests require Provider dependencies (libraries) to be available
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and that the ElasticSearch and Postgres tests require their respective
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backend servers running.
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Environment variables are set in the file [pytest.ini](pytest.ini).
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