added padatious

This commit is contained in:
Mathieu Broillet 2022-12-05 15:49:42 +01:00
parent 20219c8fad
commit 737324a363

View File

@ -1,13 +1,17 @@
import importlib
import json
import types
from adapt.engine import DomainIntentDeterminationEngine
from padatious import IntentContainer
from jarvis import api
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):
@ -25,6 +29,22 @@ def register_intent_adapt(intent, domain):
print("[Adapt]: Registered new intent " + intent.name + " for skill " + domain + ".")
def register_entity_padatious(entity_name, file_lines_list):
padatious_intents_container.add_entity(entity_name, file_lines_list)
# print("[Padatious]: Added entity with name " + entity_name + " with " str(len(list)) + "examples.")
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():
print("Training PADATIOUS intents models, can take a few minutes (first time) or a few seconds (startup)")
padatious_intents_container.train(timeout=120)
def load_all_skills():
for handler in intents_handlers_adapt:
function_handler = intents_handlers_adapt.get(handler)
@ -33,15 +53,30 @@ def load_all_skills():
register_intent_adapt(intent_builder.build(), domain=skill_name)
print("Loaded " + 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)
print("Loaded " + intent_data_examples)
def look_for_matching_skill(sentence):
def look_for_matching_intent(sentence):
best_intent_adapt = get_best_intent_adapt(sentence)
best_intent_padatious = get_best_intent_padatious(sentence)
confidence_adapt = get_confidence(best_intent_adapt)
confidence_padatious = get_confidence(best_intent_padatious)
return best_intent_adapt if confidence_adapt > confidence_padatious else best_intent_padatious
def get_best_intent_adapt(sentence):
if len(intents_handlers_adapt) > 0:
try:
best_intents = adapt_engine.determine_intent(sentence, 100)
best_intent = next(best_intents)
if (get_confidence(best_intent) > 0.2):
return best_intent
return best_intent
except StopIteration:
pass
@ -49,6 +84,14 @@ def look_for_matching_skill(sentence):
return None # No match (Adapt)
def get_best_intent_padatious(sentence):
if len(intents_handlers_padatious) > 0:
result = padatious_intents_container.calc_intent(sentence)
return result
else:
return None # No match (Padatious)
def get_confidence(intent):
if intent is None:
return 0
@ -61,15 +104,23 @@ def get_confidence(intent):
return 0
def handle_adapt_intent(data, intent):
for key, val in intent.items():
if key != 'intent_type' and key != 'target' and key != 'confidence':
data[key] = val
handle(intent['intent_type'], data=data)
return intent
def handle_intent(data, intent):
# Handle Adapt
if 'intent_type' in intent:
for key, val in intent.items():
if key != 'intent_type' and key != 'target' and key != 'confidence':
data[key] = val
launch_intent(intent['intent_type'], data=data)
return intent
# Handle padatious
elif hasattr(intent, 'name'):
data.update(intent.matches) # adding the matches from padatious to the data
launch_intent(intent.name, data)
return json.dumps(str(intent))
def handle(intent_name, data):
def launch_intent(intent_name, data):
module_path_str = None
handler_method_name = None
@ -77,14 +128,16 @@ def handle(intent_name, data):
handler_method_name = intents_handlers_adapt.get(intent_name)[2]
module_path_str = intents_handlers_adapt.get(intent_name)[3]
if intent_name in intents_handlers_padatious:
handler_method_name = intents_handlers_padatious.get(intent_name)[0]
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 = import_method_from_string(module_path_str, "create_skill")
skill_init_data = {'client_ip': data['client_ip'], 'client_port': data['client_port']}
# create a new object of the right skill for the utterance
skill = create_skill_method(skill_init_data)
skill = create_skill_method(data)
# import and call the handler method from the skill
getattr(skill, handler_method_name)(data=data)
@ -103,6 +156,9 @@ def import_method_from_string(file, method_name):
def recognise(sentence, uuid=None):
print("RECOGNISE " + sentence)
launch_intent(look_for_matching_intent(sentence))
# TODO: find why not working
api.send_jarvis_message_to_room("Not implemented that yet, please wait.", uuid)
@ -116,10 +172,10 @@ class SkillRegistering(type):
if intent_type is not None:
properties = getattr(val, "_data", None)
if properties is not None:
if intent_type == 'adapt':
intent = properties[0]
intent_name = intent.name
if properties is not None:
if intent_type == 'adapt':
intent = properties[0]
intent_name = intent.name
intents_handlers_adapt[f"{intent_name}"] = [getattr(cls, key), name, key,
attrs['__module__']]
intents_handlers_adapt[f"{intent_name}"] = [getattr(cls, key), name, key,
attrs['__module__']]