.. py:currentmodule:: auditlog.models
Auditlog log entries are simple :py:class:`LogEntry` model instances. This makes creating a new log entry very easy. For even more convenience, :py:class:`LogEntryManager` provides a number of methods which take some work out of your hands.
See :doc:`internals` for all details.
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 django.db import models
from auditlog.registry import auditlog
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.
Logging access
By default, Auditlog will only log changes to your model instances. If you want to log access to your model instances as well, Auditlog provides a mixin class for that purpose. Simply add the :py:class:`auditlog.mixins.LogAccessMixin` to your class based view and Auditlog will log access to your model instances. The mixin expects your view to have a get_object
method that returns the model instance for which access shall be logged - this is usually the case for DetailViews and UpdateViews.
A DetailView utilizing the LogAccessMixin could look like the following example:
from django.views.generic import DetailView
from auditlog.mixins import LogAccessMixin
class MyModelDetailView(LogAccessMixin, DetailView):
model = MyModel
# View code goes here
You can also add log-access to function base views, as the following example illustrates:
from auditlog.signals import accessed
def profile_view(request, pk):
## get the object you want to log access
user = User.objects.get(pk=pk)
## log access
accessed.send(user.__class__, instance=user)
# View code goes here
...
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'])
.. versionadded:: 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.
from django.db import models
from auditlog.models import AuditlogHistoryField
from auditlog.registry import auditlog
class MyModel(models.Model):
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
.. versionadded:: 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.
Masking fields
Fields that contain sensitive info and we want keep track of field change but not to contain the exact change.
To mask specific fields from the log you can pass mask_fields
to the register
method. If mask_fields
is specified, the first half value of the fields is masked using *
.
For example, to mask the field address
, use:
auditlog.register(MyModel, mask_fields=['address'])
.. versionadded:: 2.0.0 Masking fields
Many-to-many fields
Changes to many-to-many fields are not tracked by default. If you want to enable tracking of a many-to-many field on a model, pass m2m_fields
to the register
method:
auditlog.register(MyModel, m2m_fields={"tags", "contacts"})
This functionality is based on the m2m_changed
signal sent by the through
model of the relationship.
Note that when the user changes multiple many-to-many fields on the same object through the admin, both adding and removing some objects from each, this code will generate multiple log entries: each log entry will represent a single operation (add or delete) of a single field, e.g. if you both add and delete values from 2 fields on the same form in the same request, you'll get 4 log entries.
.. versionadded:: 2.1.0
Serialized Data
The state of an object following a change action may be optionally serialized and persisted in the LogEntry.serialized_data
JSONField. To enable this feature for a registered model, add serialize_data=True
to the kwargs on the auditlog.register(...)
method. Object serialization will not occur unless this kwarg is set.
auditlog.register(MyModel, serialize_data=True)
Objects are serialized using the Django core serializer. Keyword arguments may be passed to the serializer through serialize_kwargs
.
auditlog.register(
MyModel,
serialize_data=True,
serialize_kwargs={"fields": ["foo", "bar", "biz", "baz"]}
)
Note that all fields on the object will be serialized unless restricted with one or more configurations. The serialize_kwargs option contains a fields argument and this may be given an inclusive list of field names to serialize (as shown above). Alternatively, one may set serialize_auditlog_fields_only
to True
when registering a model with exclude_fields
and include_fields
set (as shown below). This will cause the data persisted in LogEntry.serialized_data
to be limited to the same scope that is persisted within the LogEntry.changes
field.
auditlog.register(
MyModel,
exclude_fields=["ssn", "confidential"]
serialize_data=True,
serialize_auditlog_fields_only=True
)
Field masking is supported in object serialization. Any value belonging to a field whose name is found in the mask_fields
list will be masked in the serialized object data. Masked values are obfuscated with asterisks in the same way as they are in the LogEntry.changes
field.
You can store a correlation ID (cid) in the log entries by:
- Reading from a request header (specified by AUDITLOG_CID_HEADER)
- Using a custom cid getter (specified by AUDITLOG_CID_GETTER)
Using the custom getter is helpful for integrating with a third-party cid package such as django-cid.
AUDITLOG_INCLUDE_ALL_MODELS
You can use this setting to register all your models:
AUDITLOG_INCLUDE_ALL_MODELS=True
.. versionadded:: 2.1.0
AUDITLOG_EXCLUDE_TRACKING_FIELDS
You can use this setting to exclude named fields from ALL models.
This is useful when lots of models share similar fields like
`created`
and `modified`
and you want those excluded from
logging.
It will be considered when AUDITLOG_INCLUDE_ALL_MODELS
is True.
AUDITLOG_EXCLUDE_TRACKING_FIELDS = (
"created",
"modified"
)
.. versionadded:: 3.0.0
AUDITLOG_EXCLUDE_TRACKING_FIELDS
When using "AuditlogMiddleware",
the IP address is logged by default, you can use this setting
to exclude the IP address from logging.
It will be considered when AUDITLOG_DISABLE_REMOTE_ADDR
is True.
AUDITLOG_DISABLE_REMOTE_ADDR = True
.. versionadded:: 3.0.0
AUDITLOG_EXCLUDE_TRACKING_MODELS
You can use this setting to exclude models in registration process.
It will be considered when AUDITLOG_INCLUDE_ALL_MODELS
is True.
AUDITLOG_EXCLUDE_TRACKING_MODELS = (
"<app_name>",
"<app_name>.<model>"
)
.. versionadded:: 2.1.0
AUDITLOG_INCLUDE_TRACKING_MODELS
You can use this setting to configure your models registration and other behaviours. It must be a list or tuple. Each item in this setting can be a:
str
: To register a model.dict
: To register a model and define its logging behaviour. e.g. include_fields, exclude_fields.
AUDITLOG_INCLUDE_TRACKING_MODELS = (
"<appname>.<model1>",
{
"model": "<appname>.<model2>",
"include_fields": ["field1", "field2"],
"exclude_fields": ["field3", "field4"],
"mapping_fields": {
"field1": "FIELD",
},
"mask_fields": ["field5", "field6"],
"m2m_fields": ["field7", "field8"],
"serialize_data": True,
"serialize_auditlog_fields_only": False,
"serialize_kwargs": {"fields": ["foo", "bar", "biz", "baz"]},
},
"<appname>.<model3>",
)
.. versionadded:: 2.1.0
AUDITLOG_DISABLE_ON_RAW_SAVE
Disables logging during raw save. (I.e. for instance using loaddata)
Note
M2M operations will still be logged, since they're never considered raw. To disable them you must remove their setting or use the disable_auditlog context manager.
.. versionadded:: 2.2.0
AUDITLOG_CID_HEADER
The request header containing the Correlation ID value to use in all log entries created as a result of the request. The value can of in the format HTTP_MY_HEADER or my-header.
.. versionadded:: 3.0.0
AUDITLOG_CID_GETTER
The function to use to retrieve the Correlation ID. The value can be a callable or a string import path.
If the value is None, the default getter will be used.
.. versionadded:: 3.0.0
AUDITLOG_CHANGE_DISPLAY_TRUNCATE_LENGTH
This configuration variable defines the truncation behavior for strings in changes_display_dict, with a default value of 140 characters.
0: The entire string is truncated, resulting in an empty output. Positive values (e.g., 5): Truncates the string, keeping only the specified number of characters followed by an ellipsis (...) after the limit. Negative values: No truncation occurs, and the full string is displayed.
.. versionadded:: 3.1.0
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
setting in your
project's configuration file:
MIDDLEWARE = ( # 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.
To enable the automatic logging of the actors outside of request context (e.g. in a Celery task), you can use a context manager:
from auditlog.context import set_actor def do_stuff(actor_id: int): actor = get_user(actor_id) with set_actor(actor): # if your code here leads to creation of LogEntry instances, these will have the actor set ...
.. versionadded:: 2.1.0
Disable auditlog temporary, for instance if you need to install a large fixture on a live system or cleanup corrupt data:
from auditlog.context import disable_auditlog with disable_auditlog(): # Do things silently here ...
.. versionadded:: 2.2.0
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 (:py:mod:`django.contrib.contenttypes`). Using this field in your models is equally easy as any other field:
from django.db import models from auditlog.models import AuditlogHistoryField from auditlog.registry import auditlog class MyModel(models.Model): history = AuditlogHistoryField() # Model definition goes here auditlog.register(MyModel)
:py:class:`AuditlogHistoryField` accepts an optional :py:attr:`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,
:py:attr:`pk_indexable` needs to be set to False
. Keep in mind that this might slow down queries.
The :py:class:`AuditlogHistoryField` provides easy access to :py:class:`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.items %}
<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 :py:class:`LogEntry`'s :py:attr:`changes_display_dict` instead. The :py:attr:`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 :py:class:`LogEntry` instances.
.. versionadded:: 0.3.0
Note
This section shows a workaround which can be used to track many-to-many relationships on older versions of django-auditlog. For versions 2.1.0 and onwards, please see the many-to-many fields section of :ref:`Automatically logging changes`. 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 :py:meth:`LogEntryManager.get_for_objects` method. The resulting QuerySet can be combined with any other
queryset of :py:class:`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')
.. versionadded:: 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.
You may also specify a date using the -b
or --before-date
option in ISO 8601 format (YYYY-mm-dd) to delete all
log entries prior to a given date. This may be used to implement time based retention windows.
.. versionadded:: 2.1.0
Warning
Using the auditlogflush
command deletes log entries permanently and irreversibly from the database.
.. versionadded:: 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.