def get_list_match_synapse(cls, order, synapse_order_tuple):
list_match_synapse = list()
for synapse in cls.brain.synapses:
if synapse.enabled:
for signal in synapse.signals:
# we are only concerned by synapse with a order type of signal
if signal.name == "order":
# get the type of matching expected, by default "normal"
expected_matching_type = "normal"
signal_order = None
if isinstance(signal.parameters, str) or isinstance(signal.parameters, six.text_type):
signal_order = signal.parameters
if isinstance(signal.parameters, dict):
try:
signal_order = signal.parameters["text"]
except KeyError:
logger.debug("[OrderAnalyser] Warning, missing parameter 'text' in order. "
"Order will be skipped")
continue
expected_matching_type = cls.get_matching_type(signal)
order = cls.order_correction(order, signal)
if cls.is_order_matching(user_order=order,
signal_order=signal_order,
expected_order_type=expected_matching_type):
# the order match the synapse, we add it to the returned list
logger.debug("Order found! Run synapse name: %s" % synapse.name)
Utils.print_info("Brain: order recognized")
Utils.print_success(" * Running synapse \"%s\"" % synapse.name)
list_match_synapse.append(synapse_order_tuple(synapse=synapse, order=signal_order))
return list_match_synapse
def say(self, message):
"""
USe TTS to speak out loud the Message.
A message can be a string, a list or a dict
If it's a string, simply use the TTS with the message
If it's a list, we select randomly a string in the list and give it to the TTS
If it's a dict, we use the template given in parameter to create a string that we give to the TTS
:param message: Can be a String or a dict or a list
.. raises:: TTSModuleNotFound
"""
logger.debug("[NeuronModule] Say() called with message: %s" % message)
tts_message = None
# we can save parameters from the neuron in memory
Cortex.save_neuron_parameter_in_memory(self.brain_memory, message)
if isinstance(message, str) or isinstance(message, six.text_type):
logger.debug("[NeuronModule] message is string")
tts_message = message
if isinstance(message, list):
logger.debug("[NeuronModule] message is list")
tts_message = random.choice(message)
if isinstance(message, dict):
logger.debug("[NeuronModule] message is dict")
tts_message = self._get_message_from_dict(message)
if tts_message is not None:
logger.debug("[NeuronModule] tts_message to say: %s" % tts_message)
self.tts_message = tts_message
Utils.print_info("Player Engine: " + tts_message)
# save in brain memory the last tts message
Cortex.save("brain_last_tts_message", tts_message)
# process the audio only if the mute flag is false
if self.settings.options.mute:
logger.debug("[NeuronModule] mute is True, Brain.ai is muted")
else:
logger.debug(
"[NeuronModule] mute is False, make Brain.ai speaking")
HookManager.on_start_speaking()
# get the instance of the TTS module
tts_folder = None
if self.settings.resources:
tts_folder = self.settings.resources.tts_folder
tts_module_instance = Utils.get_dynamic_class_instantiation(
package_name="tts",
module_name=self.tts.name,
parameters=self.tts.parameters,
resources_dir=tts_folder)
# generate the audio file and play it
tts_module_instance.say(tts_message)
HookManager.on_stop_speaking()