A simple Django app to enable audit logging
Project description
For the Python only implementation (which is used by this library) see https://github.com/Amsterdam/python-audit-log
DataPunt Django Audit Log
DataPunt Audit Log is a simple Django app that will log all incoming requests and their corresponding responses to a configurable endpoint.
During the process request phase, the logger is attached to the request. Before returning a response the app can easily provide extra context. In the process response phase the audit_log middleware will send the log.
Quick start
-
Install using pip
pip install datapunt_django_audit_log
-
Add "django_audit_log" to your INSTALLED_APPS:
INSTALLED_APPS = [ ... 'django_audit_log', ]
-
Add the AuditLogMiddleware to your MIDDLEWARE:
MIDDLEWARE = [ ... 'django_audit_log.middleware.AuditLogMiddleware', ]
At this point all requests/responses will be logged. For providing extra context (which you are strongly urged to do so), see next chapters.
Default context info
By default the audit log sends the following json structure per request:
{
"http_request": {
"method": "get|post|head|options|etc..",
"url": "https://datapunt.amsterdam.nl?including=querystring",
"user_agent": "full browser user agent"
},
"http_response": {
"status_code": "http status code",
"reason": "http status reason",
"headers": {
"key": "value"
}
},
"user": {
"authenticated": "True/False",
"provider": "auth backend the user authenticated with",
"realm": "optional realm when using keycloak or another provider",
"email": "email of logged in user",
"roles": "roles attached to the logged in user",
"ip": "ip address"
}
}
Each json entry is set by its corresponding method. In this case,
the middleware sets them automatically by calling
set_http_request()
and set_user_fom_request()
in the process_request method. In the process_response method the
last data is set by invoking set_http_response()
.
After the response has been processed the middleware automatically
creates the log item by calling send_log()
.
Custom optional context info
Per request it is possible to add optional context info. For a complete audit log, you are strongly urged to add more info inside your view.
Adding extra context is quite simple. The audit_log object has been added to the request by the middleware. Therefore every view can simply access it via the request object.
Filter
AuditLog.set_filter(self, object_name, fields, terms)
allows to provide
info on the requested type of object and the filters that have been used
(a user searches for 'terms', which are matched on specific 'fields' of the
'object').
This method will add the following details to the log:
"filter": {
"object": "Object name that is requested",
"fields": "Fields that are being filtered on, if applicable",
"terms": "Search terms, if applicable"
}
Results
AuditLog.set_results(self, results)
allows to pass a json dict
detailing exactly what results have been returned to the user.
It is up to the developer to decide whether the amount of data that would be added here will become a burden instead of a blessing.
This method will add the following details to the log:
"results": {
...
}
Message and loglevel
At last, a log message and loglevel can be provided to indicate what the request is actually doing. This is done by calling one of the following methods:
AuditLog.debug(self, msg)
AuditLog.info(self, msg)
AuditLog.warning(self, msg)
AuditLog.error(self, msg)
AuditLog.critical(self, msg)
These methods will add the following details to the log:
"type": "DEBUG|INFO|WARNING|ERROR|etc",
"message": "log message"
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