# loggingTools: tools for interfacing with the Python logging package

class fontTools.misc.loggingTools.LevelFormatter(fmt=None, datefmt=None, style='%')

  Bases: `Formatter`

  Log formatter with level-specific formatting.

  Formatter class which optionally takes a dict of logging levels to format strings, allowing to customise the log records appearance for specific levels.

  fmt

    A dictionary mapping logging levels to format strings. The `*` key identifies the default format string.

  datefmt

    As per py:class:logging.Formatter

  style

    As per py:class:logging.Formatter

      >>> import sys
      >>> handler = logging.StreamHandler(sys.stdout)
      >>> formatter = LevelFormatter(
      ...     fmt={
      ...         '*':     '[%(levelname)s] %(message)s',
      ...         'DEBUG': '%(name)s [%(levelname)s] %(message)s',
      ...         'INFO':  '%(message)s',
      ...     })
      >>> handler.setFormatter(formatter)
      >>> log = logging.getLogger('test')
      >>> log.setLevel(logging.DEBUG)
      >>> log.addHandler(handler)
      >>> log.debug('this uses a custom format string')
      test [DEBUG] this uses a custom format string
      >>> log.info('this also uses a custom format string')
      this also uses a custom format string
      >>> log.warning("this one uses the default format string")
      [WARNING] this one uses the default format string

  format(record)

fontTools.misc.loggingTools.configLogger(**kwargs)

  A more sophisticated logging system configuation manager.

  This is more or less the same as `logging.basicConfig()`, with some additional options and defaults.

  The default behaviour is to create a `StreamHandler` which writes to sys.stderr, set a formatter using the `DEFAULT_FORMATS` strings, and add the handler to the top-level library logger (“fontTools”).

  A number of optional keyword arguments may be specified, which can alter the default behaviour.

  Parameters:

    - logger – Specifies the logger name or a Logger instance to be configured. (Defaults to “fontTools” logger). Unlike `basicConfig`, this function can be called multiple times to reconfigure a logger. If the logger or any of its children already exists before the call is made, they will be reset before the new configuration is applied.

    - filename – Specifies that a `FileHandler` be created, using the specified filename, rather than a `StreamHandler`.

    - filemode – Specifies the mode to open the file, if filename is specified. (If filemode is unspecified, it defaults to `a`).

    - format – Use the specified format string for the handler. This argument also accepts a dictionary of format strings keyed by level name, to allow customising the records appearance for specific levels. The special `'*'` key is for ‘any other’ level.

    - datefmt – Use the specified date/time format.

    - level – Set the logger level to the specified level.

    - stream – Use the specified stream to initialize the StreamHandler. Note that this argument is incompatible with `filename` - if both are present, `stream` is ignored.

    - handlers – If specified, this should be an iterable of already created handlers, which will be added to the logger. Any handler in the list which does not have a formatter assigned will be assigned the formatter created in this function.

    - filters – If specified, this should be an iterable of already created filters. If the `handlers` do not already have filters assigned, these filters will be added to them.

    - propagate – All loggers have a `propagate` attribute which determines whether to continue searching for handlers up the logging hierarchy. If not provided, the “propagate” attribute will be set to `False`.

class fontTools.misc.loggingTools.Timer(logger=None, msg=None, level=None, start=None)

  Bases: `object`

  Keeps track of overall time and split/lap times.

      >>> import time
      >>> timer = Timer()
      >>> time.sleep(0.01)
      >>> print("First lap:", timer.split())
      First lap: ...
      >>> time.sleep(0.02)
      >>> print("Second lap:", timer.split())
      Second lap: ...
      >>> print("Overall time:", timer.time())
      Overall time: ...

  Can be used as a context manager inside with-statements.

      >>> with Timer() as t:
      ...     time.sleep(0.01)
      >>> print("%0.3f seconds" % t.elapsed)
      0... seconds

  If initialised with a logger, it can log the elapsed time automatically upon exiting the with-statement.

      >>> import logging
      >>> log = logging.getLogger("my-fancy-timer-logger")
      >>> configLogger(logger=log, level="DEBUG", format="%(message)s", stream=sys.stdout)
      >>> with Timer(log, 'do something'):
      ...     time.sleep(0.01)
      Took ... to do something

  The same Timer instance, holding a reference to a logger, can be reused in multiple with-statements, optionally with different messages or levels.

      >>> timer = Timer(log)
      >>> with timer():
      ...     time.sleep(0.01)
      elapsed time: ...s
      >>> with timer('redo it', level=logging.INFO):
      ...     time.sleep(0.02)
      Took ... to redo it

  It can also be used as a function decorator to log the time elapsed to run the decorated function.

      >>> @timer()
      ... def test1():
      ...    time.sleep(0.01)
      >>> @timer('run test 2', level=logging.INFO)
      ... def test2():
      ...    time.sleep(0.02)
      >>> test1()
      Took ... to run 'test1'
      >>> test2()
      Took ... to run test 2

  default_msg = 'elapsed time: %(time).3fs'
  default_format = 'Took %(time).3fs to %(msg)s'
  reset(start=None)

    Reset timer to ‘start_time’ or the current time.

  time()

    Return the overall time (in seconds) since the timer started.

  split()

    Split and return the lap time (in seconds) in between splits.

  formatTime(msg, time)

    Format ‘time’ value in ‘msg’ and return formatted string. If ‘msg’ contains a ‘%(time)’ format string, try to use that. Otherwise, use the predefined ‘default_format’. If ‘msg’ is empty or None, fall back to ‘default_msg’.

class fontTools.misc.loggingTools.ChannelsFilter(*names)

  Bases: `Filter`

  Provides a hierarchical filter for log entries based on channel names.

  Filters out records emitted from a list of enabled channel names, including their children. It works the same as the `logging.Filter` class, but allows the user to specify multiple channel names.

      >>> import sys
      >>> handler = logging.StreamHandler(sys.stdout)
      >>> handler.setFormatter(logging.Formatter("%(message)s"))
      >>> filter = ChannelsFilter("A.B", "C.D")
      >>> handler.addFilter(filter)
      >>> root = logging.getLogger()
      >>> root.addHandler(handler)
      >>> root.setLevel(level=logging.DEBUG)
      >>> logging.getLogger('A.B').debug('this record passes through')
      this record passes through
      >>> logging.getLogger('A.B.C').debug('records from children also pass')
      records from children also pass
      >>> logging.getLogger('C.D').debug('this one as well')
      this one as well
      >>> logging.getLogger('A.B.').debug('also this one')
      also this one
      >>> logging.getLogger('A.F').debug('but this one does not!')
      >>> logging.getLogger('C.DE').debug('neither this one!')

  filter(record)

class fontTools.misc.loggingTools.CapturingLogHandler(logger, level)

  Bases: `Handler`

  emit(record)
  assertRegex(regexp, msg=None)

class fontTools.misc.loggingTools.LogMixin

  Bases: `object`

  Mixin class that adds logging functionality to another class.

  You can define a new class that subclasses from `LogMixin` as well as other base classes through multiple inheritance. All instances of that class will have a `log` property that returns a `logging.Logger` named after their respective `<module>.<class>`.

  For example:

      >>> class BaseClass(object):
      ...     pass
      >>> class MyClass(LogMixin, BaseClass):
      ...     pass
      >>> a = MyClass()
      >>> isinstance(a.log, logging.Logger)
      True
      >>> print(a.log.name)
      fontTools.misc.loggingTools.MyClass
      >>> class AnotherClass(MyClass):
      ...     pass
      >>> b = AnotherClass()
      >>> isinstance(b.log, logging.Logger)
      True
      >>> print(b.log.name)
      fontTools.misc.loggingTools.AnotherClass

  property log

fontTools.misc.loggingTools.deprecateArgument(name, msg, category=<class 'UserWarning'>)

  Raise a warning about deprecated function argument ‘name’.

fontTools.misc.loggingTools.deprecateFunction(msg, category=<class 'UserWarning'>)

  Decorator to raise a warning when a deprecated function is called.