Skip to main content

Per-model audit logs to TABLENAME_log with entry-point capture (HTTP/management/shell/celery)

Project description

Awesome Audit Log for Django

PyPI version codecov Python versions License

This is an awesome package to have your models logs in corresponding _log tables.

Having a single model/table as audit storage can cause heavy db operation and useless for large applications.

With this package you will have each model log in a separate table which can be beneficial if you want to truncate a specific model logs or run a query on them.

You can choose between having logs table in your default database or adding a new backend db as logs db.

Supported DBs to store logs:

  1. PostgreSQL
  2. MySQL
  3. SQLite

This package is in its early stage development and the following features will be added ASAP:

  1. ✅ Utilizing celery tasks to store audit logs
  2. Release it!
  3. Log rotation
  4. Mongo DB support
  5. Add management, shell, celery as entry point of logs
  6. Document page!

Compatible With

This package works on the below listed Django, Python versions and Databases.

  • Django versions: 4.2, 5.0, 5.1
  • Python versions: 3.10, 3.11, 3.12
  • Databases: SQLite, PostgreSQL, MySQL

Installation

  1. Add App
INSTALLED_APPS = [
    # ...
    'awesome_audit_log.apps.AwesomeAuditLogConfig',
]
  1. Add Middleware
MIDDLEWARE = [
    # ...
    "awesome_audit_log.middleware.RequestEntryPointMiddleware",
]
  1. Settings
AWESOME_AUDIT_LOG = {
    "ENABLED": True,
    "DATABASE_ALIAS": "default",
    # PostgreSQL schema for audit tables (defaults to 'public')
    "PG_SCHEMA": None,
    # Enable async logging with Celery (requires Celery to be installed and configured)
    "ASYNC": False,
    # "all" or list like ["app_label.ModelA", "app.ModelB"]
    "AUDIT_MODELS": "all",
    # like AUDIT_MODELS but for opt-out, useful when AUDIT_MODELS set to all
    "NOT_AUDIT_MODELS": None,
    "CAPTURE_HTTP": True,
    # set to False means if audit db is unavailable, silently skip logging (with a warning) instead of raising
    "RAISE_ERROR_IF_DB_UNAVAILABLE": False,
    # if audit alias missing/unavailable, use 'default' intentionally, this requires RAISE_ERROR_IF_DB_UNAVAILABLE is set to False
    "FALLBACK_TO_DEFAULT": False,
}

Async Logging with Celery

This package supports async audit logging using Celery. When ASYNC is set to True, audit logs will be inserted asynchronously using Celery tasks, which can improve performance for high-traffic applications.

Setup

  1. Install Celery (if not already installed):
pip install celery
  1. Configure Celery in your Django project (this package doesn't configure Celery for you):
# settings.py
CELERY_BROKER_URL = 'redis://localhost:6379/0'  # or your preferred broker
CELERY_RESULT_BACKEND = 'redis://localhost:6379/0'
  1. Enable async logging:
AWESOME_AUDIT_LOG = {
    "ASYNC": True,  # Enable async logging
    # ... other settings
}

Notes

  • The package automatically detects if Celery is available and falls back to synchronous logging if not
  • Works with any Celery broker (Redis, RabbitMQ, database, etc.)
  • No additional configuration is required in this package - it uses your existing Celery setup
  • Async logging is disabled by default for backward compatibility

Development

Preparation

# Install dependencies
poetry install

Running Tests and Linter Locally

# Run tests
poetry run pytest

# Run linting
poetry run ruff check awesome_audit_log tests
poetry run ruff format --check awesome_audit_log tests

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

awesome_audit_log_django-0.3.0.tar.gz (10.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

awesome_audit_log_django-0.3.0-py3-none-any.whl (12.0 kB view details)

Uploaded Python 3

File details

Details for the file awesome_audit_log_django-0.3.0.tar.gz.

File metadata

  • Download URL: awesome_audit_log_django-0.3.0.tar.gz
  • Upload date:
  • Size: 10.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.12.11 Linux/6.11.0-1018-azure

File hashes

Hashes for awesome_audit_log_django-0.3.0.tar.gz
Algorithm Hash digest
SHA256 60943da86edfe6185e1bc6b8e686b33880e186df933a6e907944db8ebde76e14
MD5 07910836cfcf552fc0414a2e458acd45
BLAKE2b-256 30c19f14b5f1a49775e1c057971bdd6d47a7127a2cd76270becd66941dfd15d1

See more details on using hashes here.

File details

Details for the file awesome_audit_log_django-0.3.0-py3-none-any.whl.

File metadata

File hashes

Hashes for awesome_audit_log_django-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ce926081eb7eff693c121ae5b8f4326a035fd56f8025299f43ca2676ac9a5595
MD5 f939cce4d27b8040aeeb712a120dbac3
BLAKE2b-256 ed1187454a55905a81752b6bd90f6abfc9d93201a9521d13b1de11ef425a942b

See more details on using hashes here.

Supported by

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