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jarvis-server/jarvis/skills/intent_manager.py

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import json
from adapt.engine import DomainIntentDeterminationEngine
from padatious import IntentContainer
from jarvis.utils import utils
adapt_engine = DomainIntentDeterminationEngine()
padatious_intents_container = IntentContainer('intent_cache')
intents_handlers_adapt = dict()
intents_handlers_padatious = dict()
def register_entity_adapt(entity_value, entity_type, domain):
adapt_engine.register_entity(entity_value=entity_value, entity_type=entity_type, domain=domain)
# print("[Adapt]: Added entity with type " + entity_type + " for " + domain)
def register_regex_adapt(regex, domain):
adapt_engine.register_regex_entity(regex, domain)
# print("[Adapt]: Added new regex for " + domain)
def register_intent_adapt(intent, domain):
adapt_engine.register_intent_parser(intent, domain=domain)
print("[Adapt]: Registered new intent " + intent.name + " for skill " + domain + ".")
def register_intent_padatious(intent_name, list_of_intent_examples):
padatious_intents_container.add_intent(intent_name, list_of_intent_examples)
print("[Padatious]: Registered new intent " + intent_name + " with " + str(
len(list_of_intent_examples)) + " examples.")
def train_padatious():
padatious_intents_container.train()
def load_all_skills():
for handler in intents_handlers_adapt:
function_handler = intents_handlers_adapt.get(handler)
intent_builder = getattr(function_handler[0], "_data", [])[0]
skill_name = function_handler[1]
register_intent_adapt(intent_builder.build(), domain=skill_name)
for handler in intents_handlers_padatious:
function_handler = intents_handlers_padatious.get(handler)
intent_data_examples = function_handler[1]
register_intent_padatious(handler, intent_data_examples)
def handle(intent_name, data):
module_path_str = None
handler_method_name = None
if intent_name in intents_handlers_adapt:
# something like handler_play_song_spotify (used to call the handler method from the skill imported below)
handler_method_name = intents_handlers_adapt.get(intent_name)[2]
# something like jarvis.skill.entertainment.spotify (used to import the create_skill method to create a new object)
module_path_str = intents_handlers_adapt.get(intent_name)[3]
if intent_name in intents_handlers_padatious:
# something like handler_play_song_spotify (used to call the handler method from the skill imported below)
handler_method_name = intents_handlers_padatious.get(intent_name)[0]
# something like jarvis.skill.entertainment.spotify (used to import the create_skill method to create a new object)
module_path_str = intents_handlers_padatious.get(intent_name)[2]
if module_path_str is not None and handler_method_name is not None:
# import the create_skill method from the skill using the skill module path
create_skill_method = utils.import_method_from_string(module_path_str, "create_skill")
# create a new object of the right skill for the utterance
skill = create_skill_method()
# import and call the handler method from the skill
getattr(skill, handler_method_name)(data=data)
def recognise(sentence):
sentence = sentence.lower()
print(sentence)
if len(intents_handlers_adapt) > 0:
try:
best_intents = adapt_engine.determine_intent(sentence, 100)
best_intent = next(best_intents)
# print(best_intent) # DEBUG
handle(best_intent['intent_type'], data={'utterance': sentence})
return best_intent
except StopIteration as e:
pass
# print("No match... (Adapt)")
if len(intents_handlers_padatious) > 0:
result = padatious_intents_container.calc_intent(sentence)
# print(result) # DEBUG
2021-07-29 23:29:02 +02:00
# print(padatious_intents_container.calc_intents(sentence)) # DEBUG
if result.conf >= 0.2:
data = dict()
if isinstance(result.sent, list):
data['utterance'] = " ".join(
result.sent) # add the sentence (utterance) to the data given to the intent handler
else:
data['utterance'] = result.sent
data.update(result.matches) # adding the matches from padatious to the data
handle(result.name, data)
return json.dumps(str(result))
else:
pass
# print("No match... (Padatious)")
print()