def test_tracker_update_slots_with_entity(default_domain: Domain):
tracker = DialogueStateTracker("default", default_domain.slots)
test_entity = default_domain.entities[0]
expected_slot_value = "test user"
intent = {"name": "greet", "confidence": 1.0}
tracker.update(
UserUttered(
"/greet",
intent,
[
{
"start": 1,
"end": 5,
"value": expected_slot_value,
"entity": test_entity,
"extractor": "manual",
}
],
),
default_domain,
)
assert tracker.get_slot(test_entity) == expected_slot_value
def extract_other_slots(self, tracker: DialogueStateTracker,
domain: Domain) -> Dict[Text, Any]:
"""Extract the values of the other slots
if they are set by corresponding entities from the user input
else return `None`.
"""
slot_to_fill = tracker.get_slot(REQUESTED_SLOT)
entity_type_of_slot_to_fill = self._get_entity_type_of_slot_to_fill(
slot_to_fill, domain)
slot_values = {}
for slot in self.required_slots(domain):
# look for other slots
if slot != slot_to_fill:
# list is used to cover the case of list slot type
other_slot_mappings = self.get_mappings_for_slot(slot, domain)
for other_slot_mapping in other_slot_mappings:
# check whether the slot should be filled by an entity in the input
should_fill_entity_slot = (other_slot_mapping["type"]
== str(SlotMapping.FROM_ENTITY)
and self.intent_is_desired(
other_slot_mapping, tracker)
and self.entity_is_desired(
other_slot_mapping,
slot,
entity_type_of_slot_to_fill,
tracker,
))
# check whether the slot should be
# filled from trigger intent mapping
should_fill_trigger_slot = (
tracker.active_loop.get("name") != self.name()
and other_slot_mapping["type"] == str(
SlotMapping.FROM_TRIGGER_INTENT) and
self.intent_is_desired(other_slot_mapping, tracker))
if should_fill_entity_slot:
value = self.get_entity_value(
other_slot_mapping["entity"],
tracker,
other_slot_mapping.get("role"),
other_slot_mapping.get("group"),
)
elif should_fill_trigger_slot:
value = other_slot_mapping.get("value")
else:
value = None
if value is not None:
logger.debug(
f"Extracted '{value}' for extra slot '{slot}'.")
slot_values[slot] = value
# this slot is done, check next
break
return slot_values
def predict_action_probabilities(
self, tracker: DialogueStateTracker, domain: Domain
) -> List[float]:
"""Predicts a fallback action if an unsupported intent is received.
"""
if tracker.latest_action_name == self.fallback_action_name:
logger.debug(
"Predicted 'action_listen' after fallback action '{}'".format(
self.fallback_action_name
)
)
result = self._default_predictions(domain)
idx = domain.index_for_action(ACTION_LISTEN_NAME)
result[idx] = 1.0
return result
if tracker.latest_action_name == ACTION_LISTEN_NAME:
action_name = _get_previous_action_name(tracker)
if action_name is None or not action_name in SUPPORTED_INTENTS_BY_ACTION:
logger.debug("Skipping unsupported intent check")
return self._default_predictions(domain)
supported_intents = SUPPORTED_INTENTS_BY_ACTION[action_name]
intent = _get_intent(tracker)
if intent in supported_intents or intent == FALLBACK_INTENT:
if (
tracker.get_slot(SELF_ASSESS_DONE_SLOT) is True
and intent == GET_ASSESSMENT_INTENT
):
logger.debug(
"Received {} intent but assessment is already done".format(
GET_ASSESSMENT_INTENT
)
)
return self.fallback_scores(domain, 1.0)
logger.debug(
"No unexpected intent after action '{}'".format(action_name)
)
return self._default_predictions(domain)
logger.debug(
"Unexpected intent '{}' after action '{}'".format(intent, action_name)
)
return self.fallback_scores(domain, 1.0)
logger.debug("Skipping unsupported intent check")
return self._default_predictions(domain)
def test_tracker_does_not_modify_slots(slot_type: Type[Slot],
initial_value: Any, value_to_set: Any):
slot_name = "some-slot"
slot = slot_type(slot_name, initial_value)
tracker = DialogueStateTracker("some-conversation-id", [slot])
# change the slot value in the tracker
tracker._set_slot(slot_name, value_to_set)
# assert that the tracker contains the slot with the modified value
assert tracker.get_slot(slot_name) == value_to_set
# assert that the initial slot has not been affected
assert slot.value == initial_value
async def _predict_and_execute_next_action(
self, output_channel: OutputChannel, tracker: DialogueStateTracker
):
# keep taking actions decided by the policy until it chooses to 'listen'
should_predict_another_action = True
num_predicted_actions = 0
# action loop. predicts actions until we hit action listen
message = ""
while (
should_predict_another_action
and self._should_handle_message(tracker)
and num_predicted_actions < self.max_number_of_predictions
):
# this actually just calls the policy's method by the same name
action, policy, confidence = self.predict_next_action(tracker)
should_predict_another_action, messages = await self._run_action(
action, tracker, output_channel, self.nlg, policy, confidence
)
if messages:
if len(messages) > 2:
messages = messages[0:2].capitalize() + messages[2:]
message += messages + ". "
num_predicted_actions += 1
if message and not tracker.get_slot("first_name") is None:
message = message[:-2]
message = message.strip()
await output_channel.send_response(tracker.sender_id, { 'text': message })
if self.is_action_limit_reached(
num_predicted_actions, should_predict_another_action
):
# circuit breaker was tripped
logger.warning(
"Circuit breaker tripped. Stopped predicting "
f"more actions for sender '{tracker.sender_id}'."
)
if self.on_circuit_break:
# call a registered callback
self.on_circuit_break(tracker, output_channel, self.nlg)
def predict_action_probabilities(self, tracker: DialogueStateTracker,
domain: Domain) -> List[float]:
"""Predicts the assigned action."""
# 更新对话ID
if tracker.sender_id != self.dialogue_id:
self.dialogue_id = tracker.sender_id
self.latest_agent_ask_utter = 'utter_ask_own_name'
self.chat_num = 0
prediction = self._default_predictions(domain)
action = None
intent = tracker.latest_message.intent.get('name')
if intent == 'greet':
if self.chat_num == 0:
if tracker.latest_action_name == ACTION_LISTEN_NAME:
action = 'utter_greet'
elif tracker.latest_action_name == 'utter_greet':
# 镜像表达问候之后，
# 第一次表达greet，追问之前的问题
action = self.latest_agent_ask_utter
else:
# 这一轮闲聊结束，进入用户监听模式
# 追问之后就应该agent就应该去监听用户的回答
action = ACTION_LISTEN_NAME
# 更新最新的询问, 其实不需要更新，继续保持原样就好
self.latest_agent_ask_utter = self.latest_agent_ask_utter
# 闲聊计数，一轮闲聊结束
self.chat_num += 1
else:
# 不予许闲聊两次，greet也算一种chat
if tracker.latest_action_name == ACTION_LISTEN_NAME:
action = 'utter_bye'
else:
action = ACTION_LISTEN_NAME
elif intent == 'bye':
# 遇到intent bye 直接弹出
if tracker.latest_action_name == ACTION_LISTEN_NAME:
action = 'utter_bye'
else:
action = ACTION_LISTEN_NAME
elif intent == 'thanks':
# user
if tracker.latest_action_name == ACTION_LISTEN_NAME:
action = 'utter_welcome'
elif tracker.latest_action_name == 'utter_welcome':
action = 'utter_bye'
else:
action = ACTION_LISTEN_NAME
# 更新最新的询问, 其实不需要更新，继续保持原样就好
self.latest_agent_ask_utter = self.latest_agent_ask_utter
elif intent == 'chat':
if self.chat_num == 0:
if tracker.latest_action_name == ACTION_LISTEN_NAME:
action = 'utter_chat'
elif tracker.latest_action_name == 'utter_chat':
# 第一次表达chaet之意，追问前一个agent的提问
action = self.latest_agent_ask_utter
else:
# 此轮闲聊结束，进入用户监听状态
action = ACTION_LISTEN_NAME
self.latest_agent_ask_utter = self.latest_agent_ask_utter
# 闲聊计数
self.chat_num += 1
else:
if tracker.latest_action_name == ACTION_LISTEN_NAME:
action = 'utter_chat'
elif tracker.latest_action_name == 'utter_chat':
action = 'utter_bye'
else:
action = ACTION_LISTEN_NAME
elif intent == 'inform':
entities = tracker.latest_message.entities
if entities:
if not tracker.get_slot('is_valid_password') is None:
# 已经经历了密码匹配
if tracker.get_slot('is_valid_password'):
# 成功
if tracker.latest_action_name == 'utter_validation_pass':
action = ACTION_LISTEN_NAME
else:
# 表达进门，后面再说什么也不在做其他回复，一直回复这句话
# 都是为了简化逻辑
action = 'utter_validation_pass'
elif not tracker.get_slot('is_valid_password'):
# 失败
if tracker.latest_action_name == 'utter_password_error':
action = ACTION_LISTEN_NAME
else:
# 表达请离开,不管后面在回答任何内容
action = 'utter_password_error'
elif tracker.get_slot('is_own'):
# 第二步，匹配密码
if tracker.get_slot('password'):
# 已经收集到密码，匹配密码
action = 'action_match_password'
elif tracker.latest_action_name == 'utter_ask_setting_password':
# 收集密码的第二步，等待用户的回答
action = ACTION_LISTEN_NAME
else:
# 没有收集到password, 收集密码第一步，提问
action = 'utter_ask_setting_password'
# 更新最新agent的 ask
self.latest_agent_ask_utter = action
elif tracker.get_slot('name'):
# 第一步，匹配姓名
if tracker.latest_action_name == ACTION_LISTEN_NAME:
action = 'action_match_name'
elif tracker.latest_action_name == "utter_own_name_error":
# 只要有agent的utter，都将进入agent监状态
action = ACTION_LISTEN_NAME
elif not tracker.get_slot('is_own'):
action = 'utter_own_name_error'
else:
if tracker.latest_action_name == ACTION_LISTEN_NAME:
# 没有收集到任何实体信息，重新追问上一个问题
action = self.latest_agent_ask_utter
else:
action = ACTION_LISTEN_NAME
# 更新最新的询问, 其实不需要更新，继续保持原样就好
self.latest_agent_ask_utter = self.latest_agent_ask_utter
else:
# every dialogue start, no collected any intent(or user utter)
if tracker.latest_action_name == ACTION_LISTEN_NAME:
action = self.latest_agent_ask_utter
else:
action = ACTION_LISTEN_NAME
# 获取action的index
idx = domain.index_for_action(action)
prediction[idx] = 1
return prediction