Tom Kralidis
30 lines
1.2 KiB
Markdown
30 lines
1.2 KiB
Markdown
# CITE testing for OGC API capabilities
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- OGC API - Features
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- OGC API - Processes
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## Test data
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### OGC API - Features
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Test data used is a subset of the [Canadian National Water Data Archive](https://www.canada.ca/en/environment-climate-change/services/water-overview/quantity/monitoring/survey/data-products-services/national-archive-hydat.html) as extracted from the [MSC GeoMet OGC API](https://eccc-msc.github.io/open-data/msc-geomet/web-services_en/#ogc-api-features) service.
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### OGC API - Processes
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The `hello-world` test process that is provided with pygeoapi by default is used.
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Process job management is configured in `server.manager` in support of asynchronous testing.
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## Running
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```bash
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# install pygeoapi as per https://pygeoapi.io/#install-in-5-minutes
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# the service needs to run with HTTP 1.1 support, so let's install gunicorn
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# remove job manager
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rm -f /tmp/pygeoapi-process-manager.db*
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pip3 install gunicorn
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cd tests/cite
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. cite.env
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python3 ../load_es_data.py ./canada-hydat-daily-mean-02hc003.geojson IDENTIFIER
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pygeoapi openapi generate $PYGEOAPI_CONFIG --output-file $PYGEOAPI_OPENAPI
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gunicorn pygeoapi.flask_app:APP -b 0.0.0.0:5001 --access-logfile '-'
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```
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