Skip to main content

Django Trackman helps with tracking and logging.

Project description

Django Trackman helps with tracking and logging.

Features

  • Customizable models: You’ll have base models and an admin class mixins that you can extend to define your own tracking models.

  • Separate database: You can decide to use a separate database for your tracking data, as it could grow fast. A database router will help you implement the Django multiple database feature.

  • Loose coupling: The tracking table is not related to you application table with foreign keys. This ensures that your tracking data is kept independent of your application data.

  • Admin action tracking: You can enable tracking of Django admin actions.

  • API Endpoint: You can define django-rest-framework views to create API endpoints. This can be used to track actions made through API calls.

Installation

pip install django-trackman

Add ‘trackman’ to your INSTALLED_APPS in Django’s settings:

INSTALLED_APPS = (
    ...
    'trackman',
    ...
)

Then enable trackman by setting the variable TRACKMAN_ENABLED to True.

Action Tracking Models

Django Trackman can be used to create custom tracking models. Here’s an example of a model class that extends Django Trackman’s TrackingActionModel`:

from trackman.models import TrackingActionModel
from django.db import models

class TrackingAction(TrackingActionModel):
    team = models.CharField("Team", max_length=256, blank=True)

    def __str__(self):
        return f"Actor: {self.actor}, Action: {self.action}, Time: {self.created}"

    class Meta:
        verbose_name = "Action Log"
        verbose_name_plural = "Action Logs"

How Django Trackman would know that this model should be used by default for tracking your actions ? You’ll need to instruct it by defining a default tracking model in your settings.

TRACKMAN_MODELS = {
    "default": "tracking.TrackingAction",
    "data-quality": "tracking.DataQualityTracking",
}

Here, you’ll notice that we have also defined a additional tracking model for data quality tracking.

Base Tracking Models

If your models are not action oriented, you can always extend the TrackingBaseModel that’s an empty abstract model that only serves as a way to let Trackman know that your model should be consider as a tracking model and thus should be taken into account when during database routing.

Admin

For managing your tracking models in Django admin, Django Trackman provides the mix-in class TrackingModelAdminMixin.

from django.contrib import admin
from trackman.admin import TrackingModelAdminMixin
from .models import TrackingAction

class TrackingActionAdmin(TrackingModelAdminMixin, admin.ModelAdmin):
    list_display = [
        "id",
        "actor",
        "team",
        "action",
        "object",
        "target",
        "description",
        "created",
    ]
    search_fields = ["actor", "team"] + TrackingModelAdminMixin.action_log_search_fields
    list_filter = ["team", "action"]

if settings.TRACKMAN_ENABLED:
  admin.site.register(TrackingAction, TrackingActionAdmin)

Tracking on a separate database

When you want to isolate tracking data from your main application data for performance, maintenance or data integrity reasons, you could route tracking database operations to a separate database.

Django’s multiple database feature allows you to use more than one database in your project. It provides the flexibility to specify which models use which database - that’s defined by a router. Django Trackman uses that feature to isolate you tracking data from your application data.

You will first need to instruct in your project’s settings, the database alias that should be used.

TRACKMAN_DATABASE_ALIAS = "tracking"

Then define the database accesses.

DATABASES = {
    "default": {
        'ENGINE': 'django.db.backends.<app-database>',
        'NAME': <app-database-name>,
        'USER': <-app-database-user>,
        'PASSWORD': <-app-database-password>,
        'HOST': <-app-database-host>,
        'PORT': <-app-database-port>,
    },
}

if TRACKMAN_ENABLED:
    DATABASE_ROUTERS = ["trackman.db_routers.TrackmanDatabaseRouter"]
    DATABASES[TRACKMAN_DATABASE_ALIAS] = {
        'ENGINE': 'django.db.backends.<tracking-db>',
        'NAME': <tracking-database-name>,
        'USER': <tracking-database-user>,
        'PASSWORD': <tracking-database-password>,
        'HOST': <tracking-database-host>,
        'PORT': <tracking-database-port>,
    }

If you are using a tool like dj-database-url with environnement variables:

from django.urls import dj_database_url.parse

DATABASES = {"default": dj_database_url.parse(env("APP_DATABASE_URL"))}

if TRACKMAN_ENABLED:
    DATABASE_ROUTERS = ["trackman.db_routers.TrackingDatabaseRouter"]
    db_url = env("TRACKING_DATABASE_URL")
    DATABASES[TRACKMAN_DATABASE_ALIAS] = dj_database_url.parse(db_url)

Tracking admin action

Django Trackman, allows you to track Django admin actions - the actions that the admin users are performing.

Setting Up Django Trackman The main file is trackman/signals.py, and it requires importing in some AppConfig’s ready method.

Let’s suppose that you have a backoffice app that you can use to setup signals.

from django.apps import AppConfig
import sys

class BackofficeConfig(AppConfig):
    name = "backoffice"
    verbose_name = "Backoffice"

    def ready(self):
        if "migrate" not in sys.argv:
            import trackman.signals  # noqa

As a consequence, all admin actions will be copied to you tracking table.

API End-point

Django Trackman provides a mixin you can use with Django Rest Framework’s ViewSet to create an API end-point for your application to track actions. This could be useful for tracking front-end actions.

Here’s how you can use TrackingViewSetMixin in a Django REST ViewSet for action tracking:

from rest_framework import viewsets
from trackman.api import TrackingViewSetMixin

class ActionTrackingViewSet(TrackingViewSetMixin, viewsets.ViewSet):
    model_alias = "default"

    def clean_action_details(self, action_details):
        # Do some clean-up here...
        cleaned_data = action_details.copy()
        return cleaned_data

The model_alias points out which Django Trackman model alias to be used for saving the tracking data.

You’ll need to add this new ViewSet ActionTrackingViewSet to your url configuration to have it active.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

django-trackman-0.1.1.tar.gz (9.2 kB view details)

Uploaded Source

Built Distribution

django_trackman-0.1.1-py3-none-any.whl (12.7 kB view details)

Uploaded Python 3

File details

Details for the file django-trackman-0.1.1.tar.gz.

File metadata

  • Download URL: django-trackman-0.1.1.tar.gz
  • Upload date:
  • Size: 9.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for django-trackman-0.1.1.tar.gz
Algorithm Hash digest
SHA256 b5042ffac5d16a61a48b8ad7c1c5ea1ce2d57aabac5286c0ceff8463fe2eba49
MD5 9f160b6be20aa3a39335c83170160e5a
BLAKE2b-256 05080d8e7ad231189a802492611cb51a469523876e491bc4065f67e9cdc1cddb

See more details on using hashes here.

File details

Details for the file django_trackman-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for django_trackman-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 26cc32cc98c0473978beb0b4713be5f25cb8544debb7fe0c762b9b5e9db7b4de
MD5 8dce7fecb333d04362c099a663fa0546
BLAKE2b-256 9cbcf81b91d8b79af234e5897067650e25624c66d4ba1204b7d7801ffdca8bb4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page