Vagrant - Tilemill OSM-Bright Template

A preconfigured Vagrant box running Ubuntu 14.04, Tilemill and PostgreSQL/Postgis. Tilemill will be accesible via Browser on http://localhost:20009.

Get Started:

• install Vagrant and Virtualbox
• run vagrant up on your local machine inside the repository.
• wait for vagrant to complete downloading the Ubuntu base box and installing the software
• log into the VM by running vagrant ssh

Download OSM Data and Import to PostgreSQL:

Inside the VM you can run the load-osm-data.sh script to download OSM data and import it to PostgreSQL. It will also setup OSM Bright.

When running the script, attach the download address of an OSM Planet file:

./load-osm-data.sh https://s3.amazonaws.com/metro-extracts.mapzen.com/leipzig_germany.osm.pbf

Example Download Sources:

• https://mapzen.com/data/metro-extracts
• http://download.geofabrik.de/

Depending on the size of the planet file, the download/import will take some time.

Use a Digital Ocean VPS instead of Virtualbox as provider

Install vagrant-digitalocean provider

vagrant plugin install vagrant-digitalocean

Start a box with provider digital_ocean

vagrant up --provider=digital_ocean

The vagrant-digitalocean Provider does not support port forwarding at the moment, so you need to forward them manually each time you want to work with Tilemill.

• after creation, log into your box with vagrant ssh remote

• run the following to get the public IP of your Digital Ocean box

  echo `ifconfig eth0 | grep 'inet addr:'| cut -d: -f2 | awk '{ print $1}'`

• on your host machine, run

  ssh -CA vagrant@<your-public-ip> -L 20009:localhost:20009 -L 20008:localhost:20008

• and leave that running while working with Tilemill

• you can now access Tilemill via http://localhost:20009 in your browser

Warning

Depending on the size of the Digitalocean droplet you are running, you get charged as your box is existing. Because the ressources are reserved, you get charged for a stopped droplet too. If you dont want to pay while not working on it, you can destroy the droplet with vagrant: vagrant destroy remote. The downside is that you have to run your data import every time you recreate the droplet.