awesome-audit-log-django 0.1.0

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

Awesome Audit Log for Django

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',
]

2. Add Middleware

MIDDLEWARE = [
    # ...
    "awesome_audit_log.middleware.RequestEntryPointMiddleware",
]

3. Settings

AWESOME_AUDIT_LOG = {
    "ENABLED": True,
    "DATABASE_ALIAS": "default",
    "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,
}

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