def test_memorise_with_nlu(self, trained_policy: MemoizationPolicy,
default_domain: Domain):
tracker = tracker_from_dialogue(TEST_DEFAULT_DIALOGUE, default_domain)
states = trained_policy._prediction_states(tracker, default_domain)
recalled = trained_policy.recall(states, tracker, default_domain, None)
assert recalled is not None
async def test_inmemory_tracker_store(pair):
dialogue, domainpath = pair
domain = Domain.load(domainpath)
tracker = tracker_from_dialogue(dialogue, domain)
tracker_store = InMemoryTrackerStore(domain)
await tracker_store.save(tracker)
restored = await tracker_store.retrieve(tracker.sender_id)
assert restored == tracker
def moodbot_tracker(moodbot_domain: Domain) -> DialogueStateTracker:
return tracker_from_dialogue(TEST_MOODBOT_DIALOGUE, moodbot_domain)
def test_dialogue_from_parameters(domain: Domain):
tracker = tracker_from_dialogue(TEST_DEFAULT_DIALOGUE, domain)
serialised_dialogue = InMemoryTrackerStore.serialise_tracker(tracker)
deserialised_dialogue = Dialogue.from_parameters(
json.loads(serialised_dialogue))
assert tracker.as_dialogue().as_dict() == deserialised_dialogue.as_dict()
def test_tracker_default(domain: Domain):
tracker = tracker_from_dialogue(TEST_DEFAULT_DIALOGUE, domain)
assert tracker.get_slot("name") == "Peter"
assert tracker.get_slot("price") is None # slot doesn't exist!