Tom Kralidis
101 lines
2.9 KiB
Markdown
101 lines
2.9 KiB
Markdown
# pygeoapi
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[](https://travis-ci.org/geopython/pygeoapi)
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pygeoapi provides an API to geospatial data
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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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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=/path/to/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=/path/to/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/api 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.
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On DockerHub [pygeoapi Docker Images](https://cloud.docker.com/u/geopython/repository/docker/geopython/pygeoapi)
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are available.
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The version tagged `latest` is automatically built whenever code
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in the `master` branch of this GitHub repo changes (autobuild).
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This also cascades to updating the [pygeoapi demo service](https://demo.pygeoapi.io/master).
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So the chain is:
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```
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(git push to master) --> (DockerHub Image autobuild) --> (demo server redeploy)
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```
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Please read the [docker/README](https://github.com/geopython/pygeoapi/blob/master/docker/README.md) for
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details of the Docker implementation. To get started quickly
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[several examples](https://github.com/geopython/pygeoapi/blob/master/docker/examples) will get you up and running.
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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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