Skip to content

trailbehind/elevation-service

 
 

Repository files navigation

elevation-service

https://app.codeship.com/projects/ddd3fa70-7c16-0138-df4f-2eb71819488e/status?branch=master

Forked from https://github.com/perliedman/elevation-service

Installation and running

Locally

  1. Create a .env file in the project root. While the .env does not contain any secrets, it is bad practice to commit environment variables to the Git repository; therefore, the contents of the .env can be found in the project Wiki.

  2. Install dependencies:

pnpm install
  1. Start the server:
pnpm start

With Docker

There is no need to run the Docker image locally; GaiaCloud will work directly with the elevation service running on "bare metal" via pnpm start.

However, it is still useful to test the Docker image locally to ensure that any changes to the build process will not break in CI or production.

To use the GaiaCloud docker-compose-services/elevation.yml service, you will need to build the Docker image with a specific tag.

docker build -t gaiagps/elevation-service .

Then, start the GaiaCloud backend with the service file:

docker compose -f docker-compose.yml -f docker-compose-services/elevation.yml up

Then, separately start the frontend with the elevation service configured:

LOCAL_SERVICES=elevation pnpm start:frontend

Usage

Post a GeoJSON object to /geojson, and you will get the same object back, but its coordinates will have a third component containing elevation added.

You can check the health of the server with the /status endpoint.

Testing

Tests are written using Node's native test runner, and are intended to run against production (i.e., TSC-compiled) code. They use the .env environment variable, and also require AWS credentials (loaded from ~/.aws).

To run the tests, first build:

pnpm build

Then run:

pnpm test

Environment

See the .env contents above.

About

Elevation data for your GeoJSON as a micro service

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • TypeScript 70.5%
  • JavaScript 27.7%
  • Dockerfile 1.8%