django-pghistory
tracks changes to your Django models using Postgres triggers, providing:
- Reliable history tracking everywhere with no changes to your application code.
- Structured history models that mirror the fields of your models.
- Grouping of history with additional context attached, such as the logged-in user.
django-pghistory
has a number of ways in which you can configure history tracking for your application's needs and for performance and scale. An admin integration and middleware is included out of the box too.
Decorate your model with pghistory.track
. For example:
import pghistory
@pghistory.track()
class TrackedModel(models.Model):
int_field = models.IntegerField()
text_field = models.TextField()
Above we've tracked TrackedModel
. Copies of the model will be stored in a dynamically-created event model on every insert and update.
Run python manage.py makemigrations
followed by migrate
and voila, every change to TrackedModel
is now stored. This includes bulk methods and even changes that happen in raw SQL. For example:
from myapp.models import TrackedModel
m = TrackedModel.objects.create(int_field=1, text_field="hello")
m.int_field = 2
m.save()
print(m.events.values("pgh_obj", "int_field"))
> [{'pgh_obj': 1, 'int_field': 1}, {'pgh_obj': 1, 'int_field': 2}]
Above we printed the history of int_field
. We also printed pgh_obj
, which references the tracked object. We'll cover how these fields and additional metadata fields are tracked later.
django-pghistory
can track a subset of fields and conditionally store events based on specific field transitions. Users can also store free-form context from the application in event metadata, all with no additional database queries. See the next steps below on how to dive deeper and configure it for your use case.
django-pghistory
is compatible with Python 3.9 - 3.13, Django 4.2 - 5.1, Psycopg 2 - 3, and Postgres 13 - 17.
View the django-pghistory docs here to learn more about:
- The basics and terminology.
- Tracking historical events on models.
- Attaching dynamic application context to events.
- Configuring event models.
- Aggregating events across event models.
- The Django admin integration.
- Reverting models to previous versions.
- A guide on performance and scale.
There's also additional help, FAQ, and troubleshooting guides.
Install django-pghistory
with:
pip3 install django-pghistory
After this, add pghistory
and pgtrigger
to the INSTALLED_APPS
setting of your Django project.
There's a DjangoCon 2023 talk that walks through how the library works and provides an overview of problems that can be solved through history-tracking in Django, discussing context-tracking, event reversions, and soft-deletes.
For information on setting up django-pghistory for development and contributing changes, view CONTRIBUTING.md.
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