This app is no longer maintained or developed and is soon to be removed. It was merely a draft, but it turned out, that there are far too many better solutions for this problem.

For statistics we now use django-influxdb-metrics with grafana.

For logging certain events you might want to check out django-object-events.

A Django application for logging events and saving them into your database so that you can run computations and reports on them later.

You need to install the following prerequisites in order to use this app:

pip install Django

To install the latest commit from GitHub:

$ pip install -e git://github.com/bitmazk/django-logger.git#egg=logger

Add logger to your INSTALLED_APPS:

INSTALLED_APPS = (
    ...,
    "logger",
)

from logger import Logger

def my_function(args):
    # create a logger instance
    logger = Logger()

    # call the ``create_log`` method
    logger.create_log(
        "action_name", "parameter_type_name", "value")

The action argument of logger.create_log() is a string defining the kind of action, that is logged. E.g. "payment" You can see it as a way of grouping log items.

The parameter_type_name is either a string or a list of strings containing the types of values stored. E.g. ["item count", "payment amount", "user"]

Finally the value argument is a list of values or a single value that can be either a string, an integer, a date or datetime, a decimal, a bool or a django model instance. E.g. [12, decimal.Decimal("299.99"), request.user]

So the full call of create_log from the example would look like:

logger.create_log(
    "payment",
    ["item count", "payment amount", "user"],
    [12, decimal.Decimal("299.99"), request.user],
)

Currently the Log objects stored this way can be reviewed through the django admin.

If you want to contribute to this project, please perform the following steps:

# Fork this repository
# Clone your fork
$ mkvirtualenv -p python2.7 django-logger
$ pip install -r requirements.txt
$ ./logger/tests/runtests.sh
# You should get no failing tests

$ git co -b feature_branch master
# Implement your feature and tests
# Describe your change in the CHANGELOG.txt
$ git add . && git commit
$ git push origin feature_branch
# Send us a pull request for your feature branch

Whenever you run the tests a coverage output will be generated in tests/coverage/index.html. When adding new features, please make sure that you keep the coverage at 100%.

Check the issue tracker on github for milestones and features to come.