kamal

A routing engine and API service based on Open data. Its current focus are flexibility, speed and stability in that order.

Usage

Check out the API examples provided as a Postman collection. Simply import it and have fun :)

For a demo see try.hyposfer.com (it will take a few seconds on the first run).

By default kamal will run at localhost:3000.

Installation

You can install kamal from clojars using lein or use our docker image.

Leiningen

$ git clone https://github.com/hiposfer/kamal.git && cd kamal
$ lein with-profile release uberjar
$ java -jar target/kamal.jar

Docker

Use our latest docker image:

$ docker run -it -p 3000:3000 hiposfer/kamal

Development

We follow Stuart Sierra's reload workflow. Our system configuration is created by reading the environment variables. An example of such config can be found in hiposfer.kamal.dev/env. As you can see there, it is also possible to create a system by providing the configuration directly.

1. Start a REPL
2. Load the hiposfer.kamal.dev namespace
3. Run the hiposfer.kamal.dev/refresh! function
4. Perform your changes
   • if your changes modify the network build process. Repeat from 3.
   • keep making your changes in the repl otherwise

In other words:

$ git clone https://github.com/hiposfer/kamal.git && cd kamal
$ lein repl
hiposfer.kamal.core=> (use 'hiposfer.kamal.dev)
hiposfer.kamal.core=> (hiposfer.kamal.dev/refresh!)

And then browse to localhost:3000

OSM Files

kamal consumes Open Street Map (OSM) data files. OSM files are usually very large and consume a lot of memory to process, therefore we use a fake network during the development. The fake network's size can be tuned via the :network-size configuration.

Using a fake network can significantly increase your development speed as there is no need to reparse the OSM file. You can test your changes on a real OSM file by setting :dev to false.

kamal is very routing oriented, thus no filtering is performed when reading OSM files. Dealing with unnecessary information in OSM files is left to the developer. If you dont want to create your own pre-processing script, we recommend you to use Òverpass-Api. Here is an example query that we use to get only pedestrian relevant paths. You can customize it however you want; once you are done, click Export and get the raw data directly from Overpass API link; with it you can execute the query on a terminal or script.

License

kamal is distributed under LGPL v3