django-auditlog documentation¶
django-auditlog (Auditlog) is a reusable app for Django that makes logging object changes a breeze. Auditlog tries to use as much as Python and Django’s built in functionality to keep the list of dependencies as short as possible. Also, Auditlog aims to be fast and simple to use.
Auditlog is created out of the need for a simple Django app that logs changes to models along with the user who made the changes (later referred to as actor). Existing solutions seemed to offer a type of version control, which was found excessive and expensive in terms of database storage and performance.
The core idea of Auditlog is similar to the log from Django’s admin. However, Auditlog is much more flexible than the
log from Django’s admin app (django.contrib.admin
). Also, Auditlog saves a summary of the changes in JSON
format, so changes can be tracked easily.
Contents¶
Installation¶
Installing Auditlog is simple and straightforward. First of all, you need a copy of Auditlog on your system. The easiest way to do this is by using the Python Package Index (PyPI). Simply run the following command:
pip install django-auditlog
Instead of installing Auditlog via PyPI, you can also clone the Git repository or download the source code via GitHub. The repository can be found at https://github.com/jjkester/django-auditlog/.
Requirements
- Python 3.5 or higher
- Django 2.2 or higher
Auditlog is currently tested with Python 3.5 - 3.8 and Django 2.2, 3.0 and 3.1. The latest test report can be found at https://travis-ci.org/jjkester/django-auditlog.
Adding Auditlog to your Django application¶
To use Auditlog in your application, just add 'auditlog'
to your project’s INSTALLED_APPS
setting and run
manage.py migrate
to create/upgrade the necessary database structure.
If you want Auditlog to automatically set the actor for log entries you also need to enable the middleware by adding
'auditlog.middleware.AuditlogMiddleware'
to your MIDDLEWARE_CLASSES
setting. Please check Usage for more
information.
Usage¶
Manually logging changes¶
Auditlog log entries are simple LogEntry
model instances. This makes creating a new log entry very easy. For
even more convenience, LogEntryManager
provides a number of methods which take some work out of your hands.
See Internals for all details.
Automatically logging changes¶
Auditlog can automatically log changes to objects for you. This functionality is based on Django’s signals, but linking your models to Auditlog is even easier than using signals.
Registering your model for logging can be done with a single line of code, as the following example illustrates:
from auditlog.registry import auditlog
from django.db import models
class MyModel(models.Model):
pass
# Model definition goes here
auditlog.register(MyModel)
It is recommended to place the register code (auditlog.register(MyModel)
) at the bottom of your models.py
file.
This ensures that every time your model is imported it will also be registered to log changes. Auditlog makes sure that
each model is only registered once, otherwise duplicate log entries would occur.
Excluding fields
Fields that are excluded will not trigger saving a new log entry and will not show up in the recorded changes.
To exclude specific fields from the log you can pass include_fields
resp. exclude_fields
to the register
method. If exclude_fields
is specified the fields with the given names will not be included in the generated log
entries. If include_fields
is specified only the fields with the given names will be included in the generated log
entries. Explicitly excluding fields through exclude_fields
takes precedence over specifying which fields to
include.
For example, to exclude the field last_updated
, use:
auditlog.register(MyModel, exclude_fields=['last_updated'])
New in version 0.3.0: Excluding fields
Mapping fields
If you have field names on your models that aren’t intuitive or user friendly you can include a dictionary of field mappings during the register() call.
class MyModel(modelsModel):
sku = models.CharField(max_length=20)
version = models.CharField(max_length=5)
product = models.CharField(max_length=50, verbose_name='Product Name')
history = AuditLogHistoryField()
auditlog.register(MyModel, mapping_fields={'sku': 'Product No.', 'version': 'Product Revision'})
log = MyModel.objects.first().history.latest()
log.changes_display_dict
// retrieves changes with keys Product No. Product Revision, and Product Name
// If you don't map a field it will fall back on the verbose_name
New in version 0.5.0.
You do not need to map all the fields of the model, any fields not mapped will fall back on their verbose_name
. Django provides a default verbose_name
which is a “munged camel case version” so product_name
would become Product Name
by default.
Actors¶
When using automatic logging, the actor is empty by default. However, auditlog can set the actor from the current request automatically. This does not need any custom code, adding a middleware class is enough. When an actor is logged the remote address of that actor will be logged as well.
To enable the automatic logging of the actors, simply add the following to your MIDDLEWARE_CLASSES
setting in your
project’s configuration file:
MIDDLEWARE_CLASSES = (
# Request altering middleware, e.g., Django's default middleware classes
'auditlog.middleware.AuditlogMiddleware',
# Other middleware
)
It is recommended to keep all middleware that alters the request loaded before Auditlog’s middleware.
Warning
Please keep in mind that every object change in a request that gets logged automatically will have the current request’s user as actor. To only have some object changes to be logged with the current request’s user as actor manual logging is required.
Object history¶
Auditlog ships with a custom field that enables you to easily get the log entries that are relevant to your object. This
functionality is built on Django’s content types framework (django.contrib.contenttypes
). Using this field in
your models is equally easy as any other field:
from auditlog.models import AuditlogHistoryField
from auditlog.registry import auditlog
from django.db import models
class MyModel(models.Model):
history = AuditlogHistoryField()
# Model definition goes here
auditlog.register(MyModel)
AuditlogHistoryField
accepts an optional pk_indexable
parameter, which is either True
or
False
, this defaults to True
. If your model has a custom primary key that is not an integer value,
pk_indexable
needs to be set to False
. Keep in mind that this might slow down queries.
The AuditlogHistoryField
provides easy access to LogEntry
instances related to the model instance. Here is an example of how to use it:
<div class="table-responsive">
<table class="table table-striped table-bordered">
<thead>
<tr>
<th>Field</th>
<th>From</th>
<th>To</th>
</tr>
</thead>
<tbody>
{% for key, value in mymodel.history.latest.changes_dict.iteritems %}
<tr>
<td>{{ key }}</td>
<td>{{ value.0|default:"None" }}</td>
<td>{{ value.1|default:"None" }}</td>
</tr>
{% empty %}
<p>No history for this item has been logged yet.</p>
{% endfor %}
</tbody>
</table>
</div>
If you want to display the changes in a more human readable format use the LogEntry
’s changes_display_dict
instead. The changes_display_dict
will make a few cosmetic changes to the data.
- Mapping Fields property will be used to display field names, falling back on
verbose_name
if no mapping field is present - Fields with a value whose length is greater than 140 will be truncated with an ellipsis appended
- Date, Time, and DateTime fields will follow
L10N
formatting. IfUSE_L10N=False
in your settings it will fall back on the settings defaults defined forDATE_FORMAT
,TIME_FORMAT
, andDATETIME_FORMAT
- Fields with
choices
will be translated into their human readable form, this feature also supports choices defined ondjango-multiselectfield
and Postgres’s nativeArrayField
Check out the internals for the full list of attributes you can use to get associated LogEntry
instances.
Many-to-many relationships¶
New in version 0.3.0.
Warning
To-many relations are not officially supported. However, this section shows a workaround which can be used for now. In the future, this workaround may be used in an official API or a completly different strategy might be chosen. Do not rely on the workaround here to be stable across releases.
By default, many-to-many relationships are not tracked by Auditlog.
The history for a many-to-many relationship without an explicit ‘through’ model can be recorded by registering this model as follows:
auditlog.register(MyModel.related.through)
The log entries for all instances of the ‘through’ model that are related to a MyModel
instance can be retrieved
with the LogEntryManager.get_for_objects()
method. The resulting QuerySet can be combined with any other
queryset of LogEntry
instances. This way it is possible to get a list of all changes on an object and its
related objects:
obj = MyModel.objects.first()
rel_history = LogEntry.objects.get_for_objects(obj.related.all())
full_history = (obj.history.all() | rel_history.all()).order_by('-timestamp')
Management commands¶
New in version 0.4.0.
Auditlog provides the auditlogflush
management command to clear all log entries from the database.
By default, the command asks for confirmation. It is possible to run the command with the -y or –yes flag to skip confirmation and immediately delete all entries.
Warning
Using the auditlogflush
command deletes all log entries permanently and irreversibly from the database.
Django Admin integration¶
New in version 0.4.1.
When auditlog
is added to your INSTALLED_APPS
setting a customized admin class is active providing an enhanced
Django Admin interface for log entries.
Internals¶
You might be interested in the way things work on the inside of Auditlog. This section covers the internal APIs of Auditlog which is very useful when you are looking for more advanced ways to use the application or if you like to contribute to the project.
The documentation below is automatically generated from the source code.
Models and fields¶
-
class
auditlog.models.
LogEntry
(*args, **kwargs)[source]¶ Represents an entry in the audit log. The content type is saved along with the textual and numeric (if available) primary key, as well as the textual representation of the object when it was saved. It holds the action performed and the fields that were changed in the transaction.
If AuditlogMiddleware is used, the actor will be set automatically. Keep in mind that editing / re-saving LogEntry instances may set the actor to a wrong value - editing LogEntry instances is not recommended (and it should not be necessary).
-
class
Action
[source]¶ The actions that Auditlog distinguishes: creating, updating and deleting objects. Viewing objects is not logged. The values of the actions are numeric, a higher integer value means a more intrusive action. This may be useful in some cases when comparing actions because the
__lt
,__lte
,__gt
,__gte
lookup filters can be used in queries.The valid actions are
Action.CREATE
,Action.UPDATE
andAction.DELETE
.
-
exception
DoesNotExist
¶
-
exception
MultipleObjectsReturned
¶
-
changes_dict
¶ Returns: The changes recorded in this log entry as a dictionary object.
-
changes_display_dict
¶ Returns: The changes recorded in this log entry intended for display to users as a dictionary object.
-
changes_str
¶ Return the changes recorded in this log entry as a string. The formatting of the string can be customized by setting alternate values for colon, arrow and separator. If the formatting is still not satisfying, please use
LogEntry.changes_dict()
and format the string yourself.Parameters: - colon – The string to place between the field name and the values.
- arrow – The string to place between each old and new value.
- separator – The string to place between each field.
Returns: A readable string of the changes in this log entry.
-
class
-
class
auditlog.models.
LogEntryManager
[source]¶ Custom manager for the
LogEntry
model.-
get_for_model
(model)[source]¶ Get log entries for all objects of a specified type.
Parameters: model (class) – The model to get log entries for. Returns: QuerySet of log entries for the given model. Return type: QuerySet
-
get_for_object
(instance)[source]¶ Get log entries for the specified model instance.
Parameters: instance (Model) – The model instance to get log entries for. Returns: QuerySet of log entries for the given model instance. Return type: QuerySet
-
get_for_objects
(queryset)[source]¶ Get log entries for the objects in the specified queryset.
Parameters: queryset (QuerySet) – The queryset to get the log entries for. Returns: The LogEntry objects for the objects in the given queryset. Return type: QuerySet
-
log_create
(instance, **kwargs)[source]¶ Helper method to create a new log entry. This method automatically populates some fields when no explicit value is given.
Parameters: - instance (Model) – The model instance to log a change for.
- kwargs – Field overrides for the
LogEntry
object.
Returns: The new log entry or None if there were no changes.
Return type:
-
-
class
auditlog.models.
AuditlogHistoryField
(pk_indexable=True, delete_related=True, **kwargs)[source]¶ A subclass of py:class:django.contrib.contenttypes.fields.GenericRelation that sets some default variables. This makes it easier to access Auditlog’s log entries, for example in templates.
By default this field will assume that your primary keys are numeric, simply because this is the most common case. However, if you have a non-integer primary key, you can simply pass
pk_indexable=False
to the constructor, and Auditlog will fall back to using a non-indexed text based field for this model.Using this field will not automatically register the model for automatic logging. This is done so you can be more flexible with how you use this field.
Parameters: - pk_indexable (bool) – Whether the primary key for this model is not an
int
orlong
. - delete_related (bool) – By default, including a generic relation into a model will cause all related objects to be cascade-deleted when the parent object is deleted. Passing False to this overrides this behavior, retaining the full auditlog history for the object. Defaults to True, because that’s Django’s default behavior.
Return all objects related to
objs
via thisGenericRelation
.
- pk_indexable (bool) – Whether the primary key for this model is not an
Middleware¶
-
class
auditlog.middleware.
AuditlogMiddleware
(get_response=None)[source]¶ Middleware to couple the request’s user to log items. This is accomplished by currying the signal receiver with the user from the request (or None if the user is not authenticated).
-
process_exception
(request, exception)[source]¶ Disconnects the signal receiver to prevent it from staying active in case of an exception.
-
process_request
(request)[source]¶ Gets the current user from the request and prepares and connects a signal receiver with the user already attached to it.
-
Signal receivers¶
-
auditlog.receivers.
log_create
(sender, instance, created, **kwargs)[source]¶ Signal receiver that creates a log entry when a model instance is first saved to the database.
Direct use is discouraged, connect your model through
auditlog.registry.register()
instead.
Calculating changes¶
-
auditlog.diff.
get_field_value
(obj, field)[source]¶ Gets the value of a given model instance field.
Parameters: - obj (Model) – The model instance.
- field (Any) – The field you want to find the value of.
Returns: The value of the field as a string.
Return type: str
-
auditlog.diff.
get_fields_in_model
(instance)[source]¶ Returns the list of fields in the given model instance. Checks whether to use the official _meta API or use the raw data. This method excludes many to many fields.
Parameters: instance (Model) – The model instance to get the fields for Returns: The list of fields for the given model (instance) Return type: list
-
auditlog.diff.
model_instance_diff
(old, new)[source]¶ Calculates the differences between two model instances. One of the instances may be
None
(i.e., a newly created model or deleted model). This will cause all fields with a value to have changed (fromNone
).Parameters: - old (Model) – The old state of the model instance.
- new (Model) – The new state of the model instance.
Returns: A dictionary with the names of the changed fields as keys and a two tuple of the old and new field values as value.
Return type: dict
-
auditlog.diff.
track_field
(field)[source]¶ Returns whether the given field should be tracked by Auditlog.
Untracked fields are many-to-many relations and relations to the Auditlog LogEntry model.
Parameters: field (Field) – The field to check. Returns: Whether the given field should be tracked. Return type: bool
Registry¶
-
class
auditlog.registry.
AuditlogModelRegistry
(create: bool = True, update: bool = True, delete: bool = True, custom: Optional[Dict[django.db.models.signals.ModelSignal, Callable]] = None)[source]¶ A registry that keeps track of the models that use Auditlog to track changes.
-
contains
(model: django.db.models.base.ModelBase) → bool[source]¶ Check if a model is registered with auditlog.
Parameters: model – The model to check. Returns: Whether the model has been registered. Return type: bool
-
register
(model: django.db.models.base.ModelBase = None, include_fields: Optional[List[str]] = None, exclude_fields: Optional[List[str]] = None, mapping_fields: Optional[Dict[str, str]] = None)[source]¶ Register a model with auditlog. Auditlog will then track mutations on this model’s instances.
Parameters: - model – The model to register.
- include_fields – The fields to include. Implicitly excludes all other fields.
- exclude_fields – The fields to exclude. Overrides the fields to include.
- mapping_fields – Mapping from field names to strings in diff.
-
Contribute to Auditlog¶
Note
Due to multiple reasons the development of Auditlog is not a priority for me at this moment. Therefore progress might be slow. This does not mean that this project is abandoned! Community involvement in the form of pull requests is very much appreciated. Also, if you like to take Auditlog to the next level and be a permanent contributor, please contact the author. Contact information can be found via GitHub.
If you discovered a bug or want to improve the code, please submit an issue and/or pull request via GitHub. Before submitting a new issue, please make sure there is no issue submitted that involves the same problem.