def update(self):
client = QnAMakerClient(endpoint=self.credential.app_host,
credentials=CognitiveServicesCredentials(
self.credential.app_key))
update_kb_operation_dto = UpdateKbOperationDTO(
add=UpdateKbOperationDTOAdd(qna_list=[
QnADTO(questions=self.questions, answer=self.answer)
]))
client.knowledgebase.update(kb_id=self.credential.app_id,
update_kb=update_kb_operation_dto)
time.sleep(5)
def update_kb(client, kb_id, blob_url):
logging.info("Updating knowledge base...")
update_kb_operation_dto = UpdateKbOperationDTO(add=UpdateKbOperationDTOAdd(
qna_list=[], urls=[blob_url], files=[]),
delete=None,
update=None)
logging.info(update_kb_operation_dto)
update_op = client.knowledgebase.update(kb_id=kb_id,
update_kb=update_kb_operation_dto)
#_monitor_operation(client=client, operation=update_op)
logging.info("Updated knowledge base.")
def update_kb(client, kb_id):
print("Updating knowledge base...")
qna3 = QnADTO(answer="goodbye",
questions=["bye", "end", "stop", "quit", "done"],
metadata=[
MetadataDTO(name="Category", value="Chitchat"),
MetadataDTO(name="Chitchat", value="end"),
])
qna4 = QnADTO(
answer=
"Hello, please select from the list of questions or enter a new question to continue.",
questions=["hello", "hi", "start"],
metadata=[
MetadataDTO(name="Category", value="Chitchat"),
MetadataDTO(name="Chitchat", value="begin"),
],
context=QnADTOContext(is_context_only=False,
prompts=[
PromptDTO(display_order=1,
display_text="Use REST",
qna_id=1),
PromptDTO(
display_order=2,
display_text="Use .NET NuGet package",
qna_id=2),
]))
urls = [
"https://docs.microsoft.com/azure/cognitive-services/QnAMaker/troubleshooting"
]
update_kb_operation_dto = UpdateKbOperationDTO(add=UpdateKbOperationDTOAdd(
qna_list=[qna3, qna4], urls=urls, files=[]),
delete=None,
update=None)
update_op = client.knowledgebase.update(kb_id=kb_id,
update_kb=update_kb_operation_dto)
_monitor_operation(client=client, operation=update_op)
print("Updated knowledge base.")
def knowledge_based_crud_sample(subscription_key):
"""KnowledgeBasedCRUDSample.
This will create, update, publish, download, then delete a knowledge base.
"""
def _create_sample_kb(client):
"""Helper function for knowledge_based_crud_sample.
This helper function takes in a QnAMakerClient and returns an operation of a created knowledge base.
"""
qna = QnADTO(
answer="You can use our REST APIs to manage your knowledge base.",
questions=["How do I manage my knowledgebase?"],
metadata=[MetadataDTO(name="Category", value="api")]
)
urls = [
"https://docs.microsoft.com/en-in/azure/cognitive-services/qnamaker/faqs"]
create_kb_dto = CreateKbDTO(
name="QnA Maker FAQ from quickstart",
qna_list=[qna],
urls=urls
)
create_op = client.knowledgebase.create(
create_kb_payload=create_kb_dto)
create_op = _monitor_operation(client=client, operation=create_op)
return create_op.resource_location.replace("/knowledgebases/", "")
def _monitor_operation(client, operation):
"""Helper function for knowledge_based_crud_sample.
This helper function takes in a QnAMakerClient and an operation, and loops until the operation has either succeeded
or failed and returns the operation.
"""
for i in range(20):
if operation.operation_state in [OperationStateType.not_started, OperationStateType.running]:
print("Waiting for operation: {} to complete.".format(
operation.operation_id))
time.sleep(5)
operation = client.operations.get_details(
operation_id=operation.operation_id)
else:
break
if operation.operation_state != OperationStateType.succeeded:
raise Exception("Operation {} failed to complete.".format(
operation.operation_id))
return operation
client = QnAMakerClient(endpoint=QNA_ENDPOINT, credentials=CognitiveServicesCredentials(subscription_key))
# Create a KB
print("Creating KB...")
kb_id = _create_sample_kb(client=client)
print("Created KB with ID: {}".format(kb_id))
# Update the KB
print("Updating KB...")
update_kb_operation_dto = UpdateKbOperationDTO(
add=UpdateKbOperationDTOAdd(
qna_list=[
QnADTO(questions=["bye"], answer="goodbye")
]
)
)
update_op = client.knowledgebase.update(
kb_id=kb_id, update_kb=update_kb_operation_dto)
_monitor_operation(client=client, operation=update_op)
# Publish the KB
print("Publishing KB...")
client.knowledgebase.publish(kb_id=kb_id)
print("KB Published.")
# Download the KB
print("Downloading KB...")
kb_data = client.knowledgebase.download(kb_id=kb_id, environment="Prod")
print("KB Downloaded. It has {} QnAs.".format(len(kb_data.qna_documents)))
# Delete the KB
print("Deleting KB...")
client.knowledgebase.delete(kb_id=kb_id)
print("KB Deleted.")
def update_kb(client, kb_id):
update_kb_operation_dto = UpdateKbOperationDTO(add=UpdateKbOperationDTOAdd(
qna_list=[QnADTO(questions=["bye"], answer="goodbye")]))
update_op = client.knowledgebase.update(kb_id=kb_id,
update_kb=update_kb_operation_dto)
_monitor_operation(client=client, operation=update_op)