def test_get_dynamic_class_instantiation(self):
"""
Test that an instance as been instantiate properly.
"""
sl = SettingLoader()
sl.settings.resource_dir = '/var/tmp/test/resources'
neuron = Neuron(
name='Say',
parameters={'message': 'test dynamic class instantiate'})
say1 = Utils.get_dynamic_class_instantiation(
package_name="neurons",
module_name=neuron.name.capitalize(),
parameters=neuron.parameters,
resources_dir='/var/tmp/test/resources')
self.assertTrue(isinstance(say1, Say),
"Failed to dynamically instantiate neuron 'Say'")
say2 = Utils.get_dynamic_class_instantiation(
package_name="neurons",
module_name=neuron.name.capitalize(),
parameters=neuron.parameters,
resources_dir='/var/tmp/test/resources')
self.assertTrue(isinstance(say2, Say),
"Failed to dynamically instantiate neuron 'Say'")
self.assertNotEqual(
id(say1), id(say2),
"Dynamic class instantiations must return unique instances")
def load_stt_plugin(self):
if self.stt is None:
self.stt_module_name = self.settings.default_stt_name
for stt_object in self.settings.stts:
if stt_object.name == self.stt_module_name:
stt_object.parameters["callback"] = self.callback
Utils.get_dynamic_class_instantiation(
package_name='stt',
module_name=stt_object.name.capitalize(),
parameters=stt_object.parameters)
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.kalliope_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_success(tts_message)
# save in kalliope memory the last tts message
Cortex.save("kalliope_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, Kalliope is muted")
else:
logger.debug(
"[NeuronModule] mute is False, make Kalliope 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()
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
if isinstance(message, str) or isinstance(message, unicode):
logger.debug("message is string")
tts_message = message
if isinstance(message, list):
logger.debug("message is list")
tts_message = random.choice(message)
if isinstance(message, dict):
logger.debug("message is dict")
tts_message = self._get_message_from_dict(message)
if tts_message is not None:
logger.debug("tts_message to say: %s" % tts_message)
# create a tts object from the tts the user want to use
tts_object = next(
(x for x in self.settings.ttss if x.name == self.tts), None)
if tts_object is None:
raise TTSModuleNotFound(
"The tts module name %s does not exist in settings file" %
self.tts)
# change the cache settings with the one precised for the current neuron
if self.override_cache is not None:
tts_object.parameters = self._update_cache_var(
self.override_cache, tts_object.parameters)
logger.debug("NeuroneModule: TTS args: %s" % tts_object)
# 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=tts_object.name,
parameters=tts_object.parameters,
resources_dir=tts_folder)
# generate the audio file and play it
tts_module_instance.say(tts_message)
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.kalliope_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_success(tts_message)
# save in kalliope memory the last tts message
Cortex.save("kalliope_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, Kalliope is muted")
else:
logger.debug("[NeuronModule] mute is False, make Kalliope 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()
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
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_success(tts_message)
# process the audio only if the no_voice flag is false
if self.no_voice:
logger.debug("[NeuronModule] no_voice is True, Kalliope is muted")
else:
logger.debug("[NeuronModule] no_voice is False, make Kalliope 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)
# Kalliope will talk, turn on the LED
self.switch_on_led_talking(rpi_settings=self.settings.rpi_settings, on=True)
# generate the audio file and play it
tts_module_instance.say(tts_message)
# Kalliope has finished to talk, turn off the LED
self.switch_on_led_talking(rpi_settings=self.settings.rpi_settings, on=False)
def test_get_dynamic_class_instantiation(self):
"""
Test that an instance as been instantiate properly.
"""
sl = SettingLoader()
sl.settings.resource_dir = '/var/tmp/test/resources'
neuron = Neuron(name='Say', parameters={'message': 'test dynamic class instantiate'})
self.assertTrue(isinstance(Utils.get_dynamic_class_instantiation(package_name="neurons",
module_name=neuron.name.capitalize(),
parameters=neuron.parameters,
resources_dir='/var/tmp/test/resources'),
Say),
"Fail instantiate a class")
def launch_neuron(cls, neuron):
"""
Start a neuron plugin
:param neuron: neuron object
:type neuron: Neuron
:return:
"""
logger.debug("Run neuron: \"%s\"" % (neuron.__str__()))
settings = cls.load_settings()
neuron_folder = None
if settings.resources:
neuron_folder = settings.resources.neuron_folder
return Utils.get_dynamic_class_instantiation(package_name="neurons",
module_name=neuron.name,
parameters=neuron.parameters,
resources_dir=neuron_folder)
def test_get_dynamic_class_instantiation(self):
"""
Test that an instance as been instantiate properly.
"""
sl = SettingLoader()
sl.settings.resource_dir = '/var/tmp/test/resources'
neuron = Neuron(
name='Say',
parameters={'message': 'test dynamic class instantiate'})
self.assertTrue(
isinstance(
Utils.get_dynamic_class_instantiation(
package_name="neurons",
module_name=neuron.name.capitalize(),
parameters=neuron.parameters,
resources_dir='/var/tmp/test/resources'), Say),
"Fail instantiate a class")
def load_stt_plugin(self):
if self.stt is None:
self.stt_module_name = self.settings.default_stt_name
logger.debug("[OrderListener] stt module name : %s" %
self.stt_module_name)
for stt_object in self.settings.stts:
if stt_object.name == self.stt_module_name:
stt_object.parameters["callback"] = self.callback
# add the audio file path to the list of parameter if set
stt_object.parameters["audio_file_path"] = self.audio_file_path
stt_folder = None
if self.settings.resources:
stt_folder = self.settings.resources.stt_folder
return Utils.get_dynamic_class_instantiation(
package_name='stt',
module_name=stt_object.name.capitalize(),
parameters=stt_object.parameters,
resources_dir=stt_folder)
def start_neuron(cls, neuron):
"""
Start a neuron plugin
:param neuron: neuron object
:type neuron: Neuron
:return:
"""
logger.debug("Run plugin \"%s\" with parameters %s" %
(neuron.name, neuron.parameters))
sl = SettingLoader()
settings = sl.settings
neuron_folder = None
if settings.resources:
neuron_folder = settings.resources.neuron_folder
return Utils.get_dynamic_class_instantiation(
package_name="neurons",
module_name=neuron.name,
parameters=neuron.parameters,
resources_dir=neuron_folder)
def load_stt_plugin(self):
if self.stt is None:
self.stt_module_name = self.settings.default_stt_name
logger.debug("[OrderListener] stt module name : %s" % self.stt_module_name)
for stt_object in self.settings.stts:
if stt_object.name == self.stt_module_name:
stt_object.parameters["callback"] = self.callback
# add the audio file path to the list of parameter if set
if self.audio_file_path is not None:
stt_object.parameters["audio_file_path"] = self.audio_file_path
stt_folder = None
if self.settings.resources:
stt_folder = self.settings.resources.stt_folder
return Utils.get_dynamic_class_instantiation(package_name='stt',
module_name=stt_object.name.capitalize(),
parameters=stt_object.parameters,
resources_dir=stt_folder)