Source code for dragonfly.engines.base.dictation

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"""
Dictation container base class
============================================================================

This class is used to store the recognized results of dictation elements 
within voice-commands.  It offers access to both the raw spoken-form words 
and be formatted written-form text.

The formatted text can be retrieved using
:meth:`~DictationContainerBase.format` or simply by  calling ``str(...)``
on a dictation container object. A tuple of the raw  spoken words can be
retrieved using :attr:`~DictationContainerBase.words`.

"""


#---------------------------------------------------------------------------
# Dictation base class -- base class for SR engine-specific containers
#  of dictated words.

[docs]class DictationContainerBase(object): """ Container class for dictated words as recognized by the :class:`Dictation` element. This base class implements the general functionality of dictation container classes. Each supported engine should have a derived dictation container class which performs the actual engine- specific formatting of dictated text. """ def __init__(self, words): """ A dictation container is created by passing it a sequence of words as recognized by the backend SR engine. Each word must be a Unicode string. :param words: A sequence of Unicode strings. :type words: sequence-of-unicode """ self._words = tuple(words) self._formatted = None def __str__(self): return unicode(self).encode("windows-1252") def __unicode__(self): if self._formatted is None: self._formatted = self.format() return self._formatted def __repr__(self): message = u"%s(%s)" % (self.__class__.__name__, u", ".join(self._words)) return message.encode("windows-1252") @property def words(self): """ Sequence of the words forming this dictation. """ return self._words
[docs] def format(self): """ Format and return this dictation as a Unicode object. """ return u" ".join(self._words)