def test_remote_example():
from rasa_core import train, run
train.train_dialogue_model("examples/remotebot/concert_domain_remote.yml",
"examples/remotebot/data/stories.md",
"examples/remotebot/models/dialogue", False,
None, {})
agent = run.main("examples/remotebot/models/dialogue")
response = agent.start_message_handling("_search_venues")
assert response.get("next_action") == 'search_venues'
assert response.get("tracker") == {
'slots': {
'concerts': None,
'venues': None
},
'sender_id': 'default',
'paused': False,
'latest_message': {
'text': '_search_venues',
'intent_ranking': [{
'confidence': 1.0,
'name': 'search_venues'
}],
'intent': {
'confidence': 1.0,
'name': 'search_venues'
},
'entities': []
}
}
next_response = agent.continue_message_handling("default", "search_venues",
[])
assert next_response.get("next_action") == "action_listen"
def test_moodbot_example(trained_moodbot_path):
from rasa_core import run
agent = run.main(trained_moodbot_path)
responses = agent.handle_message("/greet")
assert responses[0]['text'] == 'Hey! How are you?'
responses.extend(agent.handle_message("/mood_unhappy"))
assert responses[-1]['text'] in {"Did that help you?"}
# (there is a 'I am on it' message in the middle we are not checking)
assert len(responses) == 4
def test_moodbot_example(trained_moodbot_path):
from rasa_core import run
agent = run.main(trained_moodbot_path)
responses = agent.handle_message("/greet")
assert responses[0]['text'] == 'Hey! How are you?'
responses.extend(agent.handle_message("/mood_unhappy"))
assert responses[-1]['text'] in {"Did that help you?"}
# (there is a 'I am on it' message in the middle we are not checking)
assert len(responses) == 4
def test_remote_example():
from rasa_core import train, run
from rasa_core.events import SlotSet
train.train_dialogue_model(
domain_file="examples/remotebot/concert_domain_remote.yml",
stories_file="examples/remotebot/data/stories.md",
output_path="examples/remotebot/models/dialogue",
use_online_learning=False,
nlu_model_path=None,
max_history=None,
kwargs=None)
agent = run.main("examples/remotebot/models/dialogue")
response = agent.start_message_handling("/search_venues")
assert response.get("next_action") == 'search_venues'
reference = {
'slots': {
'concerts': None,
'venues': None
},
'events': None,
'sender_id': 'default',
'paused': False,
'latest_event_time': 1513023382.101372,
'latest_message': {
'text': '/search_venues',
'intent_ranking': [{
'confidence': 1.0,
'name': 'search_venues'
}],
'intent': {
'confidence': 1.0,
'name': 'search_venues'
},
'entities': []
}
}
result = response.get("tracker")
assert reference.keys() == result.keys()
del reference['latest_event_time']
del result['latest_event_time']
assert reference == result
venues = [{"name": "Big Arena", "reviews": 4.5}]
next_response = agent.continue_message_handling(
"default", "search_venues", [SlotSet("venues", venues)])
assert next_response.get("next_action") == "action_listen"
def test_moodbot_example():
from rasa_core import train, run
train.train_dialogue_model("examples/moodbot/domain.yml",
"examples/moodbot/data/stories.md",
"examples/moodbot/models/dialogue", False, None,
{})
agent = run.main("examples/moodbot/models/dialogue")
responses = agent.handle_message("_greet")
assert responses[0] == 'Hey! How are you?'
responses.extend(agent.handle_message("_mood_unhappy"))
assert responses[-1] in {"Did that help you?"}
# (there is a 'I am on it' message in the middle we are not checking)
assert len(responses) == 6
def test_remote_example():
from rasa_core import train, run
from rasa_core.events import SlotSet
train.train_dialogue_model(
domain_file="examples/remotebot/concert_domain_remote.yml",
stories_file="examples/remotebot/data/stories.md",
output_path="examples/remotebot/models/dialogue",
use_online_learning=False,
nlu_model_path=None,
max_history=None,
kwargs=None
)
agent = run.main("examples/remotebot/models/dialogue")
response = agent.start_message_handling("/search_venues")
assert response.get("next_action") == 'search_venues'
reference = {
'slots': {'concerts': None, 'venues': None},
'events': None,
'sender_id': 'default',
'paused': False,
'latest_event_time': 1513023382.101372,
'latest_message': {
'text': '/search_venues',
'intent_ranking': [{'confidence': 1.0, 'name': 'search_venues'}],
'intent': {'confidence': 1.0, 'name': 'search_venues'},
'entities': []}}
result = response.get("tracker")
assert reference.keys() == result.keys()
del reference['latest_event_time']
del result['latest_event_time']
assert reference == result
venues = [{"name": "Big Arena", "reviews": 4.5}]
next_response = agent.continue_message_handling(
"default", "search_venues", [SlotSet("venues", venues)]
)
assert next_response.get("next_action") == "action_listen"
def run():
from rasa_core.run import main
main("models\dialog",
nlu_model="models/infosys_cui/current",
channel="cmdline")