mirror of https://github.com/django/django.git
Refs #32880 -- Created a new logging how-to document.
Moved how-to material from topic document into a new document, and added new material. Introduced minor improvements to logging reference document.
This commit is contained in:
Daniele Procida
Mariusz Felisiak
parent
5848b3a1d7
commit
013a1824d3
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@ -22,6 +22,7 @@ you quickly accomplish common tasks.
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error-reporting
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initial-data
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legacy-databases
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logging
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outputting-csv
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outputting-pdf
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overriding-templates
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@ -0,0 +1,343 @@
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.. _logging-how-to:
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================================
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How to configure and use logging
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================================
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.. seealso::
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* :ref:`Django logging reference <logging-ref>`
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* :ref:`Django logging overview <logging-explanation>`
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Django provides a working :ref:`default logging configuration
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<default-logging-configuration>` that is readily extended.
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Make a basic logging call
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=========================
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To send a log message from within your code, you place a logging call into it.
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.. admonition:: Don't be tempted to use logging calls in ``settings.py``.
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The way that Django logging is configured as part of the ``setup()``
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function means that logging calls placed in ``settings.py`` may not work as
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expected, because *logging will not be set up at that point*. To explore
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logging, use a view function as suggested in the example below.
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First, import the Python logging library, and then obtain a logger instance
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with :py:func:`logging.getLogger`. Provide the ``getLogger()`` method with a
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name to identify it and the records it emits. A good option is to use
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``__name__`` (see :ref:`naming-loggers` below for more on this) which will
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provide the name of the current Python module as a dotted path::
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import logging
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logger = logging.getLogger(__name__)
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It's a good convention to perform this declaration at module level.
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And then in a function, for example in a view, send a record to the logger::
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def some_view(request):
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...
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if some_risky_state:
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logger.warning('Platform is running at risk')
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When this code is executed, a :py:class:`~logging.LogRecord` containing that
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message will be sent to the logger. If you're using Django's default logging
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configuration, the message will appear in the console.
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The ``WARNING`` level used in the example above is one of several
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:ref:`logging severity levels <topic-logging-parts-loggers>`: ``DEBUG``,
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``INFO``, ``WARNING``, ``ERROR``, ``CRITICAL``. So, another example might be::
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logger.critical('Payment system is not responding')
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.. important::
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Records with a level lower than ``WARNING`` will not appear in the console
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by default. Changing this behavior requires additional configuration.
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Customize logging configuration
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===============================
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Although Django's logging configuration works out of the box, you can control
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exactly how your logs are sent to various destinations - to log files, external
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services, email and so on - with some additional configuration.
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You can configure:
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* logger mappings, to determine which records are sent to which handlers
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* handlers, to determine what they do with the records they receive
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* filters, to provide additional control over the transfer of records, and
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even modify records in-place
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* formatters, to convert :class:`~logging.LogRecord` objects to a string or
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other form for consumption by human beings or another system
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There are various ways of configuring logging. In Django, the
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:setting:`LOGGING` setting is most commonly used. The setting uses the
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:ref:`dictConfig format <logging-config-dictschema>`, and extends the
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:ref:`default logging configuration <default-logging-definition>`.
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See :ref:`configuring-logging` for an explanation of how your custom settings
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are merged with Django's defaults.
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See the :mod:`Python logging documentation <python:logging.config>` for
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details of other ways of configuring logging. For the sake of simplicity, this
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documentation will only consider configuration via the ``LOGGING`` setting.
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.. _basic-logger-configuration:
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Basic logging configuration
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---------------------------
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When configuring logging, it makes sense to
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Create a ``LOGGING`` dictionary
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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In your ``settings.py``::
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LOGGING = {
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'version': 1, # the dictConfig format version
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'disable_existing_loggers': False, # retain the default loggers
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}
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It nearly always makes sense to retain and extend the default logging
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configuration by setting ``disable_existing_loggers`` to ``False``.
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Configure a handler
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~~~~~~~~~~~~~~~~~~~
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This example configures a single handler named ``file``, that uses Python's
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:class:`~logging.FileHandler` to save logs of level ``DEBUG`` and higher to the
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file ``general.log`` (at the project root):
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.. code-block:: python
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:emphasize-lines: 3-8
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LOGGING = {
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[...]
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'handlers': {
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'file': {
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'class': 'logging.FileHandler',
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'filename': 'general.log',
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},
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},
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}
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Different handler classes take different configuration options. For more
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information on available handler classes, see the
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:class:`~django.utils.log.AdminEmailHandler` provided by Django and the various
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:py:mod:`handler classes <logging.handlers>` provided by Python.
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Logging levels can also be set on the handlers (by default, they accept log
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messages of all levels). Using the example above, adding:
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.. code-block:: python
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:emphasize-lines: 4
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{
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'class': 'logging.FileHandler',
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'filename': 'general.log',
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'level': 'DEBUG',
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}
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would define a handler configuration that only accepts records of level
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``DEBUG`` and higher.
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Configure a logger mapping
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~~~~~~~~~~~~~~~~~~~~~~~~~~
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To send records to this handler, configure a logger mapping to use it for
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example:
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.. code-block:: python
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:emphasize-lines: 3-8
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LOGGING = {
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[...]
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'loggers': {
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'': {
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'level': 'DEBUG',
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'handlers': ['file'],
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},
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},
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}
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The mapping's name determines which log records it will process. This
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configuration (``''``) is *unnamed*. That means that it will process records
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from *all* loggers (see :ref:`naming-loggers` below on how to use the mapping
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name to determine the loggers for which it will process records).
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It will forward messages of levels ``DEBUG`` and higher to the handler named
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``file``.
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Note that a logger can forward messages to multiple handlers, so the relation
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between loggers and handlers is many-to-many.
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If you execute::
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logger.debug('Attempting to connect to API')
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in your code, you will find that message in the file ``general.log`` in the
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root of the project.
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Configure a formatter
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~~~~~~~~~~~~~~~~~~~~~
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By default, the final log output contains the message part of each :class:`log
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record <logging.LogRecord>`. Use a formatter if you want to include additional
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data. First name and define your formatters - this example defines
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formatters named ``verbose`` and ``simple``:
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.. code-block:: python
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:emphasize-lines: 3-12
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LOGGING = {
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[...]
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'formatters': {
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'verbose': {
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'format': '{name} {levelname} {asctime} {module} {process:d} {thread:d} {message}',
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'style': '{',
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},
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'simple': {
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'format': '{levelname} {message}',
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'style': '{',
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},
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},
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}
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The ``style`` keyword allows you to specify ``{`` for :meth:`str.format` or
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``$`` for :class:`string.Template` formatting; the default is ``$``.
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See :ref:`logrecord-attributes` for the :class:`~logging.LogRecord` attributes
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you can include.
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To apply a formatter to a handler, add a ``formatter`` entry to the handler's
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dictionary referring to the formatter by name, for example:
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.. code-block:: python
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:emphasize-lines: 5
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'handlers': {
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'file': {
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'class': 'logging.FileHandler',
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'filename': 'general.log',
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'formatter': 'verbose',
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},
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},
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.. _naming-loggers:
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Use logger namespacing
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~~~~~~~~~~~~~~~~~~~~~~
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The unnamed logging configuration ``''`` captures logs from any Python
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application. A named logging configuration will capture logs only from loggers
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with matching names.
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The namespace of a logger instance is defined using
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:py:func:`~logging.getLogger`. For example in ``views.py`` of ``my_app``::
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logger = logging.getLogger(__name__)
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will create a logger in the ``my_app.views`` namespace. ``__name__`` allows you
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to organize log messages according to their provenance within your project's
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applications automatically. It also ensures that you will not experience name
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collisions.
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A logger mapping named ``my_app.views`` will capture records from this logger:
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.. code-block:: python
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:emphasize-lines: 4
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LOGGING = {
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[...]
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'loggers': {
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'my_app.views': {
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...
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},
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},
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}
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A logger mapping named ``my_app`` will be more permissive, capturing records
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from loggers anywhere within the ``my_app`` namespace (including
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``my_app.views``, ``my_app.utils``, and so on):
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.. code-block:: python
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:emphasize-lines: 4
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LOGGING = {
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[...]
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'loggers': {
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'my_app': {
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...
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},
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},
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}
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You can also define logger namespacing explicitly::
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logger = logging.getLogger('project.payment')
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and set up logger mappings accordingly.
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.. _naming-loggers-hierarchy:
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Using logger hierarchies and propagation
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Logger naming is *hierarchical*. ``my_app`` is the parent of ``my_app.views``,
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which is the parent of ``my_app.views.private``. Unless specified otherwise,
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logger mappings will propagate the records they process to their parents - a
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record from a logger in the ``my_app.views.private`` namespace will be handled
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by a mapping for both ``my_app`` and ``my_app.views``.
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To manage this behavior, set the propagation key on the mappings you define::
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LOGGING = {
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[...]
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'loggers': {
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'my_app': {
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[...]
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},
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'my_app.views': {
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[...]
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},
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'my_app.views.private': {
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[...]
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'propagate': False,
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},
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},
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}
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``propagate`` defaults to ``True``. In this example, the logs from
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``my_app.views.private`` will not be handled by the parent, but logs from
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``my_app.views`` will.
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Configure responsive logging
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----------------------------
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Logging is most useful when it contains as much information as possible, but
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not information that you don't need - and how much you need depends upon what
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you're doing. When you're debugging, you need a level of information that would
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be excessive and unhelpful if you had to deal with it in production.
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You can configure logging to provide you with the level of detail you need,
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when you need it. Rather than manually change configuration to achieve this, a
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better way is to apply configuration automatically according to the
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environment.
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For example, you could set an environment variable ``DJANGO_LOG_LEVEL``
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appropriately in your development and staging environments, and make use of it
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in a logger mapping thus::
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'level': os.getenv('DJANGO_LOG_LEVEL', 'WARNING')
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\- so that unless the environment specifies a lower log level, this
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configuration will only forward records of severity ``WARNING`` and above to
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its handler.
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Other options in the configuration (such as the ``level`` or ``formatter``
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option of handlers) can be similarly managed.
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@ -1,9 +1,14 @@
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.. _logging_ref:
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.. _logging-ref:
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=======
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Logging
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=======
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.. seealso::
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* :ref:`logging-how-to`
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* :ref:`Django logging overview <logging-explanation>`
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.. module:: django.utils.log
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:synopsis: Logging tools for Django applications
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@ -46,11 +51,17 @@ parents, up to the root ``django`` logger. The ``console`` and ``mail_admins``
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handlers are attached to the root logger to provide the behavior described
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above.
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Python's own defaults send records of level ``WARNING`` and higher
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to the console.
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.. _default-logging-definition:
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Default logging definition
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--------------------------
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The default configuration is available as ``django.utils.log.DEFAULT_LOGGING``
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and defined in :source:`django/utils/log.py`::
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Django's default logging configuration inherits Python's defaults. It's
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available as ``django.utils.log.DEFAULT_LOGGING`` and defined in
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:source:`django/utils/log.py`::
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{
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'version': 1,
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@ -246,8 +257,8 @@ as explained in :ref:`django-db-logger`.
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Handlers
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--------
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Django provides one log handler in addition to those provided by the
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Python logging module.
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Django provides one log handler in addition to :mod:`those provided by the
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Python logging module <python:logging.handlers>`.
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.. class:: AdminEmailHandler(include_html=False, email_backend=None, reporter_class=None)
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|
|
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|
|
@ -1,10 +1,13 @@
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.. _logging-explanation:
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=======
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Logging
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=======
|
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|
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.. seealso::
|
||||
|
||||
:ref:`Django logging reference <logging_ref>`.
|
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* :ref:`logging-how-to`
|
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* :ref:`Django logging reference <logging-ref>`
|
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|
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Python programmers will often use ``print()`` in their code as a quick and
|
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convenient debugging tool. Using the logging framework is only a little more
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@ -163,10 +166,6 @@ and has access to the information, and so on.
|
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Configuring logging
|
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===================
|
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|
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It isn't enough to just put logging calls into your code. You also need to
|
||||
configure the loggers, handlers, filters, and formatters to ensure you can use
|
||||
the logging output.
|
||||
|
||||
Python's logging library provides several techniques to configure
|
||||
logging, ranging from a programmatic interface to configuration files.
|
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By default, Django uses the :ref:`dictConfig format
|
||||
|
|
@ -457,96 +456,3 @@ Note that the default configuration process only calls
|
|||
configuring the logging in your settings file will load your logging config
|
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immediately. As such, your logging config must appear *after* any settings on
|
||||
which it depends.
|
||||
|
||||
.. _logging-how-to:
|
||||
|
||||
How to use logging
|
||||
==================
|
||||
|
||||
Django provides a :ref:`default logging configuration
|
||||
<default-logging-configuration>`, so you don't need to provide any additional
|
||||
configuration in order to start using logging (it's the default configuration
|
||||
that for example generates the messages that appear in the console when using
|
||||
the :djadmin:`runserver`).
|
||||
|
||||
Make a basic logging call
|
||||
-------------------------
|
||||
|
||||
To send a log message from within your code, you place a logging call into it.
|
||||
|
||||
.. admonition:: Don't be tempted to use logging calls in ``settings.py``
|
||||
|
||||
The way that Django logging is configured as part of the ``setup()``
|
||||
function means that logging calls placed in ``settings.py`` may not work as
|
||||
expected, because *logging will not be set up at that point*. To explore
|
||||
logging, use a view function as suggested in the example below.
|
||||
|
||||
First, import the Python logging library, and then obtain a logger instance
|
||||
with :py:func:`logging.getLogger`. The ``getLogger()`` method must be provided
|
||||
with a name. A good option is to use ``__name__``, which will provide the name
|
||||
of the current Python module (see :ref:`naming-loggers` for use of explicit
|
||||
naming)::
|
||||
|
||||
import logging
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
And then in a function, for example in a view, send a message to the logger::
|
||||
|
||||
def some_view(request):
|
||||
...
|
||||
if some_risky_state:
|
||||
logger.warning('Platform is running at risk')
|
||||
|
||||
When this code is executed, that message will be sent to the logger (and if
|
||||
you're using Django's default logging configuration, it will appear in the
|
||||
console).
|
||||
|
||||
The ``WARNING`` level used in the example above is one of several
|
||||
:ref:`logging severity levels <topic-logging-parts-loggers>`: ``DEBUG``,
|
||||
``INFO``, ``WARNING``, ``ERROR``, ``CRITICAL``. So, another example might be::
|
||||
|
||||
logger.critical('Payment system is not responding')
|
||||
|
||||
The default logging configuration, which Django inherits from the Python
|
||||
logging module, prints all messages of level ``WARNING`` and higher to the
|
||||
console. Django's own defaults will *not* pass ``INFO`` or lower severity
|
||||
messages from applications other than Django itself to the console - that will
|
||||
need to be configured explicitly.
|
||||
|
||||
.. _naming-loggers:
|
||||
|
||||
Name logger instances
|
||||
---------------------
|
||||
|
||||
Every logger instance has a name. By convention, the logger name is usually
|
||||
``__name__``, the name of the Python module in which
|
||||
:func:`logging.getLogger()` is called. This allows you to filter and handle
|
||||
logging calls on a per-module basis. However, if you have some other way of
|
||||
organizing your logging messages, you can provide any dot-separated name to
|
||||
identify your logger::
|
||||
|
||||
# Get an instance of a specific named logger
|
||||
logger = logging.getLogger('project.interesting.stuff')
|
||||
|
||||
.. _naming-loggers-hierarchy:
|
||||
|
||||
Logger hierarchy
|
||||
~~~~~~~~~~~~~~~~
|
||||
|
||||
The dotted paths of logger names define a hierarchy. The
|
||||
``project.interesting`` logger is considered to be a parent of the
|
||||
``project.interesting.stuff`` logger; the ``project`` logger is a parent of the
|
||||
``project.interesting`` logger. (Note that this hierarchy does not need to
|
||||
reflect the actual Python module hierarchy.)
|
||||
|
||||
Why is the hierarchy important? Well, because loggers can be set to
|
||||
*propagate* their logging calls to their parents. In this way, you can
|
||||
define a single set of handlers at the root of a logger tree, and
|
||||
capture all logging calls in the subtree of loggers. A logger defined
|
||||
in the ``project`` namespace will catch all logging messages issued on
|
||||
the ``project.interesting`` and ``project.interesting.stuff`` loggers.
|
||||
|
||||
This propagation can be controlled on a per-logger basis. If
|
||||
you don't want a particular logger to propagate to its parents, you
|
||||
can turn off this behavior.
|
||||
|
|
|
|||
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Reference in New Issue