async def sample_detect_intent():
# Create a client
client = dialogflow_v2beta1.SessionsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.DetectIntentRequest(session="session_value", )
# Make the request
response = await client.detect_intent(request=request)
# Handle the response
print(response)
def detect_intent_knowledge(
project_id, session_id, language_code, knowledge_base_id, texts
):
"""Returns the result of detect intent with querying Knowledge Connector.
Args:
project_id: The GCP project linked with the agent you are going to query.
session_id: Id of the session, using the same `session_id` between requests
allows continuation of the conversation.
language_code: Language of the queries.
knowledge_base_id: The Knowledge base's id to query against.
texts: A list of text queries to send.
"""
from google.cloud import dialogflow_v2beta1 as dialogflow
session_client = dialogflow.SessionsClient()
session_path = session_client.session_path(project_id, session_id)
print("Session path: {}\n".format(session_path))
for text in texts:
text_input = dialogflow.TextInput(text=text, language_code=language_code)
query_input = dialogflow.QueryInput(text=text_input)
knowledge_base_path = dialogflow.KnowledgeBasesClient.knowledge_base_path(
project_id, knowledge_base_id
)
query_params = dialogflow.QueryParameters(
knowledge_base_names=[knowledge_base_path]
)
request = dialogflow.DetectIntentRequest(
session=session_path, query_input=query_input, query_params=query_params
)
response = session_client.detect_intent(request=request)
print("=" * 20)
print("Query text: {}".format(response.query_result.query_text))
print(
"Detected intent: {} (confidence: {})\n".format(
response.query_result.intent.display_name,
response.query_result.intent_detection_confidence,
)
)
print("Fulfillment text: {}\n".format(response.query_result.fulfillment_text))
print("Knowledge results:")
knowledge_answers = response.query_result.knowledge_answers
for answers in knowledge_answers.answers:
print(" - Answer: {}".format(answers.answer))
print(" - Confidence: {}".format(answers.match_confidence))