146 lines
5.6 KiB
Python
146 lines
5.6 KiB
Python
import glob
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import os
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import random
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import threading
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import types
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from jarvis import get_path_file
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from jarvis.skills import intent_manager
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from jarvis.utils import languages_utils, client_utils
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class Skill:
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def __init__(self, name, data):
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self.name = name
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self.client_ip = data['client_ip']
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self.client_port = data['client_port']
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path = self.__module__.split(".")
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self.category = path[2]
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self.skill_folder = path[3]
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self.path = os.path.dirname(get_path_file.__file__) + "/skills/" + self.category + "/" + self.skill_folder
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def speak(self, sentence):
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client_utils.speak(sentence, self.client_ip, self.client_port)
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def speak_dialog(self, dialog, data=None):
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if data is None:
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data = {}
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file = self.path + "/dialog/" + languages_utils.get_language() + "/" + dialog + ".dialog"
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if os.path.exists(file):
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with open(file, "r") as infile:
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random_line = random.choice(infile.readlines())
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for key, val in data.items():
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if "{{" + key + "}}" in random_line:
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# TODO: replace when found a better TTS engine for french
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# as the french tts don't support float in sentence, convert it to an integer
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if is_float(val):
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# val = str(int(float(val))) # convert a float to integer
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val = str(val).split(".")[0] + " virgule " + str(val).split(".")[1]
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random_line = random_line.replace("{{" + key + "}}", val)
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infile.close()
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self.speak(random_line)
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return "Error, dialog not found for : " + dialog
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def speak_dialog_threaded(self, dialog, data=None):
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thread = threading.Thread(target=self.speak_dialog, args=[dialog, data])
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thread.start()
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def register(self):
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self.register_entities_adapt()
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self.register_entities_padatious()
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self.register_regex()
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print("[" + self.name + "] Registered entity/entities and regex(s)")
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def register_entities_adapt(self):
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path = self.path + "/vocab/" + languages_utils.get_language() + "/*.voc"
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files = glob.glob(path, recursive=True)
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for file in files:
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with open(file, "r") as infile:
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for line in infile.readlines():
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filename = file.split("/")[-1].split(".voc")[0]
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intent_manager.register_entity_adapt(line.replace('\n', ''), filename, self.name)
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def register_entities_padatious(self):
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path = self.path + "/vocab/" + languages_utils.get_language() + "/*.entity"
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files = glob.glob(path, recursive=True)
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for file in files:
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with open(file, "r") as infile:
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for line in infile.readlines():
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filename = file.split("/")[-1].split(".entity")[0]
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intent_manager.register_entity_adapt(line.replace('\n', ''), filename, self.name)
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def register_regex(self):
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path = self.path + "/regex/" + languages_utils.get_language() + "/*.rx"
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files = glob.glob(path, recursive=True)
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for file in files:
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with open(file, "r") as infile:
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for line in infile.readlines():
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intent_manager.register_regex_adapt(line.replace('\n', ''), self.name)
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def get_array_for_intent_file(filename, category, skill_folder):
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path = os.path.dirname(get_path_file.__file__) + "/skills/" + category + "/" + skill_folder
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path = path + "/vocab/" + languages_utils.get_language() + "/" + filename
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with open(file=path, mode="r") as infile:
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lines = []
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for line in infile.readlines():
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lines.append(line.replace('\n', ''))
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return lines
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def is_float(value):
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try:
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float(value)
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return True
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except ValueError:
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return False
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class SkillRegistering(type):
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def __init__(cls, name, bases, attrs):
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for key, val in attrs.items():
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if type(val) is types.FunctionType and not str(val).__contains__("__"):
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intent_type = getattr(val, "_type", None)
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if intent_type is not None:
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properties = getattr(val, "_data", None)
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if properties is not None:
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if intent_type == 'adapt':
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intent = properties[0]
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intent_name = intent.name
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intent_manager.intents_handlers_adapt[f"{intent_name}"] = [getattr(cls, key), name, key,
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attrs['__module__']]
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elif intent_type == 'padatious':
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intent_file = properties[0]
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intent_name = properties[1]
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intent_category = str(attrs['__module__']).split('.')[2]
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skill_folder = str(attrs['__module__']).split('.')[3]
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intent_manager.intents_handlers_padatious[f"{intent_name}"] = [key,
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get_array_for_intent_file(
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intent_file,
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intent_category,
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skill_folder),
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attrs['__module__']]
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