kfs

Kalisio Features Service

kfs is a lightweight service that let you distribute geospatial data from applications developed using the Kalisio Development Kit like Kano using the OGC API Features standard (a.k.a. WFS v3).

Each service-based layer from Kano will generate two or one feature collection(s) depending if probes are used or not.

Note:

Under-the-hood feathers-distributed is used to access exposed services.

API

Please refer to the OGC API Features standard for details. Here are the current limitations:

• only the Part 1 of the standard is implemented
• only the GeoJson encoding is supported
• only a bbox in WGS 84 CRS is supported
• the following CQL filtering operators are supported
  • logical operators and, or, not
  • comparison operators eq, lt, gt, lte, gte
  • spatial operators intersects, within
  • temporal operators before, after, during (targetting instant property not interval)

Note:

Only CQL JSON encoding is fully supported, only spatial filters are supported for CQL in text encoding.

/healthcheck (GET)

Check for the health of the service

Configuring

Here are the environment variables you can use to customize the service:

Variable	Description	Defaults
HOSTNAME	Hostname	localhost
PORT	Port the API will respond on	8081
BASE_URL	Base service URL to be used to fill links	http://${hostname}:${port}
API_PREFIX	Prefix used on API routes	/api
DEBUG	The namespaces to enable debug output. Set it to kfs:* to enable full debug output.	-

local.cjs

By default, kfs only exposes features services provided by Kano. You can write a local.cjs file to alter the default configuration.

Here is an example file that exposes services from another application:

module.exports = {
  distribution: {
  	// Application key in feathers-distributed
    remoteServices: (service) => (service.key === 'myapp')
  },
  // Declare here any additional service that is not a features service but complies its GeoJson interface
  services: (serviceName, service) => {
  	// This specific service complies a GeoJson interface using a specific query parameters
    if (serviceName === 'myservice') return {
      query: { geoJson: true }
    }
  }
}

Building

Manual build

You can build the image with the following command:

docker build -t <your-image-name> .

Automatic build using Travis CI

This project is configured to use Travis to build and push the image on the Kalisio's Docker Hub. The built image is tagged using the version property in the package.json file.

To enable Travis to do the job, you must define the following variable in the corresponding Travis project:

Variable	Description
DOCKER_USER	your username
DOCKER_PASSWORD	your password

Deploying

This image is designed to be deployed using the Kargo project.

Testing

To run the internal tests, use the subcommand test:

yarn test

To run the OGC API - Features Conformance Test Suite - available at https://github.com/opengeospatial/ets-ogcapi-features10:

1. use the JAR file provided in test or download the "all-in-one" JAR file that includes the test suite and all of its dependencies (e.g. 1.7 version) on the Maven central repository,
2. update the target URL in the test/test-run-props.xml file if required
3. run the following command java -jar ets-ogcapi-features10-1.7-aio.jar -o /path/to/output -h /path/to/test-run-props.xml

A useful tool to check your OpenAPI specification conformance is redocly-cli.

Contributing

Please read the Contributing file for details on our code of conduct, and the process for submitting pull requests to us.

Authors

This project is sponsored by

License

This project is licensed under the MIT License - see the license file for details