Model Object Mapper, or MOM for short, is a Django Management Utility for statically creating and updating database entries. It supports relational fields and can work with Django apps without requiring any modification. It is free and open-source, and licensed under MIT License.
MOM improves your workflow when dealing with personal projects or private datasets that don't require end-user-friendly forms to insert or update. It offers an easy-to-use serialization mechanism that syncs your database every time you run it.
In this section, I explained some of the most useful features of MOM. You can find the extensive documentation and quickstart guide here:
Modeling After Models
To have MOM recognize your Django models, describe how you will use them in a file called Main MOM File. In that file, you tell MOM which files point to which models and how you will handle the relational fields.
To illustrate the point, let's assume that you have the following model:
# File: home/models.py from django.db import models class Post(models.Model): slug = models.SlugField(primary_key=True, ) title = models.CharField(max_length=100, ) date = models.DateTimeField() content = models.TextField()
Now, in the Main MOM File, you can do:
# File: mom_data/mom.yaml mom: map: post: model: home.models.Post lookupField: slug
map key inside the
mom key defines the
post key that tells MOM how to handle a
home.models.Post model. Following that, MOM finds the files whose names start with
post, and continue with the value it will assign to the
slug field of
home.models.Post, and finally end with the MOM file format. When we bring all the three together, we get something like this:
Inside the Objects
Since we have created a Main MOM File, we can now focus on objects (or serialization files). In these files, we represent database rows, creating and updating them as they change.
Now, let's assume that we are creating the
post.slug-field-value.mom.yaml file that we have talked about:
# File: mom_data/post.slug-field-value.mom.yaml field: title: My Awesome Post date: 2021-02-23 10:25:00+3 content: This is an awesome post.
The value of the
slug field is
slug-field-value since it is coming from the file name.
Now you can run:
$ ./manage.py mom
As a result, MOM will find this file and use the
slug field and its value to query for an existing row. If there is one, MOM will compare its fields for changes. If there isn't one, MOM will create a new one on the database.
One useful feature you can use here is the options enabled by adding a space after the field name. For instance, if you are working with a markdown file and want to use it as the value for the
content field, you can do this:
# File: mom_data/post.slug-field-value.mom.yaml field: # ... content file: content.md
and inside the
[comment]: # File: mom_data/content.md This is an awesome post.
This way, you can work with different file formats outside of YAML files.
MOM has many features like this that you can use right now and are explained in the documentation thoroughly. Relational fields may be a good reason to check it out.
When I began working on this, I had a lot of experience with Django, but not with Python, specifically with creating Python packages. If you have been there, you probably know there is a lack of standardization in that regard. If Cargo is the official package manager, build system, a tool for testing, documentation, and publication for Rust, for Python, well, you can say it is pip, setuptools, build, unittest, venv, and twine. Finding these out was easy but not necessarily straightforward.
I didn't want to complicate things, so I started small and created MOM as a management utility for my website. There, I ensured myself that it is working and I could move it into a standalone package.
After that, I continued developing the code, but I could not set up testing early in the development, so I decided to edit the installed venv package and put the changes back in the standalone code.
I am still not sure if setuptools can install dependencies.
pyproject.toml can install build-time dependencies, but it removes them after the build, so it is useless unless it allows to set runtime dependencies and install them.
unittest does the job, and the official Django documentation recommends it as well.
I created another Django app in the root folder to run the tests, which seemed to be the only option if you don't want to bloat the
After the test cases were ready, setting up the CI runners was easy. I used drone locally first, then set up a GitHub Workflow.
The recommended way is to not go in a rush and push to pypi.org. Instead, publishers should either use test.pypi.org or their instance to see everything is alright.
Also, just so you know, after publishing a package, you can delete a release, but you cannot re-upload it with the same version and architecture.
MOM can improve your workflow with the flexibility it provides and can be helpful in many different ways.