def run_core():
endpoints = yaml.load(open(directory + "/endpoints.yml").read())
action_endpoint_url = endpoints['action_endpoint']['url']
action_endpoint = EndpointConfig(url=action_endpoint_url)
nlu_interpreter = RasaNLUInterpreter(directory + "/models/nlu")
agent = Agent.load(directory + "/models/core",
interpreter=nlu_interpreter,
action_endpoint=action_endpoint)
#input_channel = SimpleWebBot()
#input_channel = HttpInputChannel(5004,"/",RasaChatInput(urlparse.urljoin("http://localhost/","api")))
input_channel = RestInput()
agent.handle_channels([input_channel], 5004, serve_forever=True)
def start_server_local(dialogue_model_path, server_endpoints):
"""Start a server which serve a local model.
Environment variables:
----------
SOCKET_PORT: int
Set the port, the server should listen on
(default: 5005)
Parameters:
----------
dialogue_model_path: str
Path to the local model directiory
server_endpoints: AvailableEndpoints
tuple with the endpoints nlg, nlu, action and model
"""
# Check SOCKET_PORT
socket_port = int(
os.environ['SOCKET_PORT']) if "SOCKET_PORT" in os.environ else 5005
# define nlu-server
rasaNLU = RasaNLUHttpInterpreter(project_name="damage_report_1.0.0",
endpoint=server_endpoints.nlu)
# initialize the agent
agent = Agent.load(dialogue_model_path,
interpreter=rasaNLU,
action_endpoint=server_endpoints.action)
# define all channels the server should listen to.
# SocketIOInput - socketIO for the webchat
# RestInput - Rest-Api for other services
channels = [
SocketIOInput(
# event name for messages sent from the user
user_message_evt="user_uttered",
# event name for messages sent from the bot
bot_message_evt="bot_uttered",
# socket.io namespace to use for the messages
namespace=None),
RestInput()
]
# Start the server
agent.handle_channels(channels, socket_port)
def url_prefix(self):
return RestInput.name()