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.
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)
- logical operators
Note:
Only CQL JSON encoding is fully supported, only spatial filters are supported for CQL in text encoding.
Check for the health of the service
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. |
- |
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 }
}
}
}
You can build the image with the following command:
docker build -t <your-image-name> .
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 |
This image is designed to be deployed using the Kargo project.
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:
- 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, - update the target URL in the
test/test-run-props.xml
file if required - 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.
Please read the Contributing file for details on our code of conduct, and the process for submitting pull requests to us.
This project is sponsored by
This project is licensed under the MIT License - see the license file for details