In this post, I give you an overview of how this tool works, some background on how/why I created it and what I wish to accomplish in the future, including some ideas I have for contributing back to osm2pgsql-themepark.

Overview​

Installing​

This easiest way to get osmprj is by installing it as a conda package with pixi:

pixi global install -c gis-forge -c conda-forge osmprj

Or with conda:

conda create -n osmprj -c gis-forge -c conda-forge osmprj

Basic workflow​

With osmprj, you can download and set up a PostgreSQL database with just a few commands.

1. Initializing the project​

osmprj init --db postgresql://user@localhost:5432/db

2. Adding data sources​

Once the project is initialized, you add data sources. These are direct mappings to what's available on Geofabrik:

osmprj add monaco

You can also specify a custom schema layout with the --theme option:

osmprj add bremen --theme pgosm

At this point, your osmprj.toml file looks like this:

[project]
database_url = "postgresql://user@localhost:5432/db"

[sources]
monaco = { schema = "monaco" }
bremen = { schema = "bremen", theme = "pgosm" }

3. Syncing to your database​

With the osmprj.toml defined the way you want, you can download and import into the data with the following command:

osmprj sync

Because replication is enabled via osm2pgsql, when you want to update your database later, you simply run osmprj sync again.

4. Removing sources​

If you want to remove a source from your project, you can use osmprj remove:

osmprj remove monaco

This not only removes the source from osmprj.toml but also from the database to keep things in sync and tidy 🧼 🧹.

How this all works​

Now that I've given the high-level overview of how the tool works, lets take a peek behind the curtains to see all the moving pieces.

Like I alluded to in the introduction, this tools is basically a wrapper around osm2pgsql and utilizes the beta version of osm2pgsql-themepark. I've also created a new osm2pgsql-themepark theme called pgosm-themepark, which is based off of the pgosm-flex project.

To make everything easy to install, it is all packaged with conda. The dependencies themselves are very diverse: osm2pgsql is C/C++ with Python and Lua scripts, plus osmprj itself is written in Rust. So, conda is actually a perfect fit for this (and no, I'm not just saying that because I'm one of the conda maintainers!).

Right now, this is being distributed via my own gis-forge channel, but I plan on moving it to the more popular conda-forge channel once the project stabilizes and leaves alpha.

Themepark​

Right now, osm2pgsql-themepark isn't available in any packaging ecosystem, so part of getting everything working required me to make updates to this repository to make it more friendly for packagers. This required the following steps:

1. Create a new lua/ directory; this holds all the Lua for files in the package.
2. Move themes/ under this directory in the themepark/ module.
3. Create a Luarocks .rockspec file to hold the metadata for the project enable creating a Lua package.
4. Create a conda recipe so this can be published to my gis-forge channel.

All of these changes can be seen in my fork and branch:

• travishathaway/osm2pgsql-themepark:luarocks

I'll be happy to work with the osm2pgsql-themepark maintainers to see if any of these ideas can be integrated into the main branch of that project!

Accessing themes in osmprj​

One final piece was missing in order to get themes wired up correctly in osmprj. In osm2pgsql-themepark, there's a directory called config/ containing files serving as entry points to their respective themes. Because these were not included in the Lua package I mentioned above (and they shouldn't be because they're meant to be user defined configurations), I copied some (but not all) to osmprj in my own themes/ directory. There are several different built-in themes for users (e.g. "shortbread" and "pgosm") and users also have the ability to add their own by appending to the OSMPRJ_THEME_PATH environment variable.

To see a full list of all available themes, I've created the following command:

osmprj themes list

I decided to give each osmprj theme its own small theme.toml so theme creators can easily add metadata to them. These themes also support custom SQL scripts that can be run post-import.

Here's an example of what a theme.toml looks like:

name        = "shortbread"
version     = "0.1.0"
description = "Shortbread theme"
type        = "themepark"
entry       = "config.lua"

Motivation​

There are already so many tools for managing OpenStreetMap data out there. Why does the world need another one? I believe that osm2pgsql itself is a great tool and does its job incredibly well, but it lacks important features that I have come to love and appreciate by working with package management tools like npm, uv and pixi. On top of managing your development environment, those package managers also handle downloading and caching packages while focusing on delivering an amazing user experience and being feature rich. I feel like osm2pgsql should be seen as just a single building block to create an even better user experience.

While looking for such a tool, I came across PgOSM Flex. This tool handles downloading data from Geofabrik and also provides a very easy to reason about schema for working with OSM data in the database. The downside is that this tool needs to be run inside a Docker container. While using it, I had problems on computers with lower resources, which is what led me to forking it and trying to create a version of it that could be run entirely within conda environments. But, I ended up getting pretty carried away with this fork, and before I knew it, I had changed so much, I figured it would be better to just write my own tool (and thus the xkcd: 927 cycle begins once more).

While experimenting with PgOSM-Flex, I came up with the idea to add a project configuration file to the tool (something else I borrowed from popular package managers). With this configuration file, I envisioned something that could be checked in alongside the code you write to do your data analysis so that it becomes easy to share and duplicate your work across different computers and environments.

My final reason for creating this is that I genuinely like writing developer tools. It is what brings me so much joy being a conda maintainer, and I wanted to begin using this experience in different problem domains. I really enjoy working with GIS and the types of analysis you can conduct, especially with OSM data, so combing these two interests with this project felt like a natural fit.

What's next?​

Now that I've reached an initial MVP, I'm going to begin using it myself. If you've read this far, maybe you would be interested to help me test it and suggest your own features and improvements? Contributors are welcome too!

I'm hoping I can build something that is at the very least useful for my immediate needs and perhaps even useful for others as well. Time will tell...