.. _RefTextEngine: Text-input engine back-end ============================================================================ The text-input engine is a convenient, always available implementation designed to be used via the :meth:`engine.mimic` method. To initialize the text-input engine, do the following:: get_engine("text") Note that :meth:`dragonfly.engines.get_engine` called without ``"text"`` will **never** initialize the text-input engine. This is because real speech recognition backends should be returned from the function by default. All dragonfly elements and rule classes should be supported. `executable`, `title`, and `handle` keyword arguments may optionally be passed to :meth:`engine.mimic` to simulate a particular foreground window. Engine Configuration ---------------------------------------------------------------------------- Dragonfly's :ref:`command-line interface ` can be used to test command modules with the text-input engine. Below are a few use cases for this engine: .. code:: shell # Example 1: # Initialize the text-input engine back-end, load a command module and # recognize from stdin. echo "hello world" | python -m dragonfly test _module1.py # Example 2: # Initialize the text-input engine back-end and load a command module # for browser commands and recognize from stdin with a processing delay # of 2 seconds. This allows testing context-specific browser commands. python -m dragonfly test _browser.py --delay 2 # Example 3: # Initialize the text-input engine back-end using German (de) as the # language, then load a command module and recognize from stdin. python -m dragonfly test _german_commands.py --language de Engine API ---------------------------------------------------------------------------- .. autoclass:: dragonfly.engines.backend_text.engine.TextInputEngine :members: .. _RefTextEngineResultsClass: Text Recognition Results Class ---------------------------------------------------------------------------- .. autoclass:: dragonfly.engines.backend_text.engine.Results :members: