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simplify logging configuration
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single default handler and formatter
don't remove handlers
configure level once using setLevel
document logging
reorganize logging tests
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davidism committed Jul 31, 2017
1 parent 85fa8aa commit 66b1b75
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6 changes: 6 additions & 0 deletions CHANGES
Expand Up @@ -106,6 +106,12 @@ Major release, unreleased
(`#2416`_)
- When passing a full URL to the test client, use the scheme in the URL instead
of the ``PREFERRED_URL_SCHEME``. (`#2436`_)
- ``app.logger`` has been simplified. ``LOGGER_NAME`` and
``LOGGER_HANDLER_POLICY`` config was removed. The logger is always named
``flask.app``. The level is only set on first access, it doesn't check
``app.debug`` each time. Only one format is used, not different ones
depending on ``app.debug``. No handlers are removed, and a handler is only
added if no handlers are already configured. (`#2436`_)

.. _#1421: https://github.com/pallets/flask/issues/1421
.. _#1489: https://github.com/pallets/flask/pull/1489
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20 changes: 5 additions & 15 deletions docs/config.rst
Expand Up @@ -199,21 +199,6 @@ The following configuration values are used internally by Flask:

Default: ``timedelta(hours=12)`` (``43200`` seconds)

.. py:data:: LOGGER_NAME
The name of the logger that the Flask application sets up. If not set,
it will take the import name passed to ``Flask.__init__``.

Default: ``None``

.. py:data:: LOGGER_HANDLER_POLICY
When to activate the application's logger handler. ``'always'`` always
enables it, ``'debug'`` only activates it in debug mode, ``'production'``
only activates it when not in debug mode, and ``'never'`` never enables it.

Default: ``'always'``

.. py:data:: SERVER_NAME
Inform the application what host and port it is bound to. Required for
Expand Down Expand Up @@ -329,6 +314,11 @@ The following configuration values are used internally by Flask:
``SESSION_REFRESH_EACH_REQUEST``, ``TEMPLATES_AUTO_RELOAD``,
``LOGGER_HANDLER_POLICY``, ``EXPLAIN_TEMPLATE_LOADING``

.. versionchanged:: 1.0

``LOGGER_NAME`` and ``LOGGER_HANDLER_POLICY`` were removed. See
:ref:`logging` for information about configuration.

Configuring from Files
----------------------

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1 change: 1 addition & 0 deletions docs/contents.rst.inc
Expand Up @@ -16,6 +16,7 @@ instructions for web development with Flask.
templating
testing
errorhandling
logging
config
signals
views
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212 changes: 5 additions & 207 deletions docs/errorhandling.rst
Expand Up @@ -143,213 +143,11 @@ determined.
Handlers are prioritized by specificity of the exception classes they are
registered for instead of the order they are registered in.

Error Mails
-----------

If the application runs in production mode (which it will do on your
server) you might not see any log messages. The reason for that is that
Flask by default will just report to the WSGI error stream or stderr
(depending on what's available). Where this ends up is sometimes hard to
find. Often it's in your webserver's log files.

I can pretty much promise you however that if you only use a logfile for
the application errors you will never look at it except for debugging an
issue when a user reported it for you. What you probably want instead is
a mail the second the exception happened. Then you get an alert and you
can do something about it.

Flask uses the Python builtin logging system, and it can actually send
you mails for errors which is probably what you want. Here is how you can
configure the Flask logger to send you mails for exceptions::

ADMINS = ['yourname@example.com']
if not app.debug:
import logging
from logging.handlers import SMTPHandler
mail_handler = SMTPHandler('127.0.0.1',
'server-error@example.com',
ADMINS, 'YourApplication Failed')
mail_handler.setLevel(logging.ERROR)
app.logger.addHandler(mail_handler)

So what just happened? We created a new
:class:`~logging.handlers.SMTPHandler` that will send mails with the mail
server listening on ``127.0.0.1`` to all the `ADMINS` from the address
*server-error@example.com* with the subject "YourApplication Failed". If
your mail server requires credentials, these can also be provided. For
that check out the documentation for the
:class:`~logging.handlers.SMTPHandler`.

We also tell the handler to only send errors and more critical messages.
Because we certainly don't want to get a mail for warnings or other
useless logs that might happen during request handling.

Before you run that in production, please also look at :ref:`logformat` to
put more information into that error mail. That will save you from a lot
of frustration.


Logging to a File
-----------------

Even if you get mails, you probably also want to log warnings. It's a
good idea to keep as much information around that might be required to
debug a problem. By default as of Flask 0.11, errors are logged to your
webserver's log automatically. Warnings however are not. Please note
that Flask itself will not issue any warnings in the core system, so it's
your responsibility to warn in the code if something seems odd.

There are a couple of handlers provided by the logging system out of the
box but not all of them are useful for basic error logging. The most
interesting are probably the following:

- :class:`~logging.FileHandler` - logs messages to a file on the
filesystem.
- :class:`~logging.handlers.RotatingFileHandler` - logs messages to a file
on the filesystem and will rotate after a certain number of messages.
- :class:`~logging.handlers.NTEventLogHandler` - will log to the system
event log of a Windows system. If you are deploying on a Windows box,
this is what you want to use.
- :class:`~logging.handlers.SysLogHandler` - sends logs to a UNIX
syslog.

Once you picked your log handler, do like you did with the SMTP handler
above, just make sure to use a lower setting (I would recommend
`WARNING`)::

if not app.debug:
import logging
from themodule import TheHandlerYouWant
file_handler = TheHandlerYouWant(...)
file_handler.setLevel(logging.WARNING)
app.logger.addHandler(file_handler)

.. _logformat:

Controlling the Log Format
--------------------------

By default a handler will only write the message string into a file or
send you that message as mail. A log record stores more information,
and it makes a lot of sense to configure your logger to also contain that
information so that you have a better idea of why that error happened, and
more importantly, where it did.

A formatter can be instantiated with a format string. Note that
tracebacks are appended to the log entry automatically. You don't have to
do that in the log formatter format string.

Here are some example setups:

Email
`````

::

from logging import Formatter
mail_handler.setFormatter(Formatter('''
Message type: %(levelname)s
Location: %(pathname)s:%(lineno)d
Module: %(module)s
Function: %(funcName)s
Time: %(asctime)s

Message:

%(message)s
'''))

File logging
````````````

::

from logging import Formatter
file_handler.setFormatter(Formatter(
'%(asctime)s %(levelname)s: %(message)s '
'[in %(pathname)s:%(lineno)d]'
))


Complex Log Formatting
``````````````````````

Here is a list of useful formatting variables for the format string. Note
that this list is not complete, consult the official documentation of the
:mod:`logging` package for a full list.

.. tabularcolumns:: |p{3cm}|p{12cm}|

+------------------+----------------------------------------------------+
| Format | Description |
+==================+====================================================+
| ``%(levelname)s``| Text logging level for the message |
| | (``'DEBUG'``, ``'INFO'``, ``'WARNING'``, |
| | ``'ERROR'``, ``'CRITICAL'``). |
+------------------+----------------------------------------------------+
| ``%(pathname)s`` | Full pathname of the source file where the |
| | logging call was issued (if available). |
+------------------+----------------------------------------------------+
| ``%(filename)s`` | Filename portion of pathname. |
+------------------+----------------------------------------------------+
| ``%(module)s`` | Module (name portion of filename). |
+------------------+----------------------------------------------------+
| ``%(funcName)s`` | Name of function containing the logging call. |
+------------------+----------------------------------------------------+
| ``%(lineno)d`` | Source line number where the logging call was |
| | issued (if available). |
+------------------+----------------------------------------------------+
| ``%(asctime)s`` | Human-readable time when the |
| | :class:`~logging.LogRecord` was created. |
| | By default this is of the form |
| | ``"2003-07-08 16:49:45,896"`` (the numbers after |
| | the comma are millisecond portion of the time). |
| | This can be changed by subclassing the formatter |
| | and overriding the |
| | :meth:`~logging.Formatter.formatTime` method. |
+------------------+----------------------------------------------------+
| ``%(message)s`` | The logged message, computed as ``msg % args`` |
+------------------+----------------------------------------------------+

If you want to further customize the formatting, you can subclass the
formatter. The formatter has three interesting methods:

:meth:`~logging.Formatter.format`:
handles the actual formatting. It is passed a
:class:`~logging.LogRecord` object and has to return the formatted
string.
:meth:`~logging.Formatter.formatTime`:
called for `asctime` formatting. If you want a different time format
you can override this method.
:meth:`~logging.Formatter.formatException`
called for exception formatting. It is passed an :attr:`~sys.exc_info`
tuple and has to return a string. The default is usually fine, you
don't have to override it.

For more information, head over to the official documentation.


Other Libraries
---------------

So far we only configured the logger your application created itself.
Other libraries might log themselves as well. For example, SQLAlchemy uses
logging heavily in its core. While there is a method to configure all
loggers at once in the :mod:`logging` package, I would not recommend using
it. There might be a situation in which you want to have multiple
separate applications running side by side in the same Python interpreter
and then it becomes impossible to have different logging setups for those.

Instead, I would recommend figuring out which loggers you are interested
in, getting the loggers with the :func:`~logging.getLogger` function and
iterating over them to attach handlers::

from logging import getLogger
loggers = [app.logger, getLogger('sqlalchemy'),
getLogger('otherlibrary')]
for logger in loggers:
logger.addHandler(mail_handler)
logger.addHandler(file_handler)
Logging
-------

See :ref:`logging` for information on how to log exceptions, such as by
emailing them to admins.


Debugging Application Errors
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