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# coding=utf-8
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
FILE: sample_manage_projects.py
DESCRIPTION:
This sample demonstrates some common authoring operation snippets with the ConversationAuthoringClient.
USAGE:
python sample_manage_projects.py
Set the environment variables with your own values before running the sample:
1) AZURE_CONVERSATIONS_ENDPOINT - endpoint for your CLU resource.
2) AZURE_CONVERSATIONS_KEY - API key for your CLU resource.
3) AZURE_CONVERSATIONS_PROJECT_NAME - project name for your existing CLU conversations project
"""
import uuid
def sample_export_project():
import os
from azure.core.rest import HttpRequest
from azure.core.credentials import AzureKeyCredential
from azure.ai.language.conversations.authoring import ConversationAuthoringClient
clu_endpoint = os.environ["AZURE_CONVERSATIONS_ENDPOINT"]
clu_key = os.environ["AZURE_CONVERSATIONS_KEY"]
existing_project_name = os.environ["AZURE_CONVERSATIONS_PROJECT_NAME"]
client = ConversationAuthoringClient(
clu_endpoint, AzureKeyCredential(clu_key)
)
poller = client.begin_export_project(
project_name=existing_project_name,
string_index_type="Utf16CodeUnit",
exported_project_format="Conversation"
)
job_state = poller.result()
print(f"Export project status: {job_state['status']}")
request = HttpRequest("GET", job_state["resultUrl"])
response = client.send_request(request)
exported_project = response.json()
return exported_project
def sample_import_project(exported_project, project_name):
import os
from azure.core.credentials import AzureKeyCredential
from azure.ai.language.conversations.authoring import ConversationAuthoringClient
clu_endpoint = os.environ["AZURE_CONVERSATIONS_ENDPOINT"]
clu_key = os.environ["AZURE_CONVERSATIONS_KEY"]
print(f"Importing project as '{project_name}'")
client = ConversationAuthoringClient(
clu_endpoint, AzureKeyCredential(clu_key)
)
poller = client.begin_import_project(
project_name=project_name,
project=exported_project
)
response = poller.result()
print(f"Import project status: {response['status']}")
return project_name
def sample_train_model(project_name):
import os
from azure.core.credentials import AzureKeyCredential
from azure.ai.language.conversations.authoring import ConversationAuthoringClient
clu_endpoint = os.environ["AZURE_CONVERSATIONS_ENDPOINT"]
clu_key = os.environ["AZURE_CONVERSATIONS_KEY"]
client = ConversationAuthoringClient(
clu_endpoint, AzureKeyCredential(clu_key)
)
print(f"Training model under label 'sample'.")
poller = client.begin_train(
project_name=project_name,
configuration={"modelLabel": "sample", "trainingMode": "standard"},
)
response = poller.result()
print(f"Train model status: {response['status']}")
def sample_deploy_model(project_name):
import os
from azure.core.credentials import AzureKeyCredential
from azure.ai.language.conversations.authoring import ConversationAuthoringClient
clu_endpoint = os.environ["AZURE_CONVERSATIONS_ENDPOINT"]
clu_key = os.environ["AZURE_CONVERSATIONS_KEY"]
deployment_name = "production"
client = ConversationAuthoringClient(
clu_endpoint, AzureKeyCredential(clu_key)
)
print(f"Deploying 'sample' model to 'production'.")
poller = client.begin_deploy_project(
project_name=project_name,
deployment_name=deployment_name,
deployment={"trainedModelLabel": "sample"},
)
response = poller.result()
print(f"Model '{response['modelId']}' deployed to '{response['deploymentName']}'")
def sample_delete_project(project_name):
import os
from azure.core.credentials import AzureKeyCredential
from azure.ai.language.conversations.authoring import ConversationAuthoringClient
clu_endpoint = os.environ["AZURE_CONVERSATIONS_ENDPOINT"]
clu_key = os.environ["AZURE_CONVERSATIONS_KEY"]
client = ConversationAuthoringClient(
clu_endpoint, AzureKeyCredential(clu_key)
)
poller = client.begin_delete_project(
project_name=project_name
)
poller.result()
print(f"Deleted project {project_name}")
if __name__ == '__main__':
project_name = "test_project" + str(uuid.uuid4())
try:
print("Exporting project...")
project = sample_export_project()
print("Importing project...")
project_name = sample_import_project(project, project_name)
print("Training model...")
sample_train_model(project_name)
print("Deploying model...")
sample_deploy_model(project_name)
finally:
print("Deleting project...")
sample_delete_project(project_name)
|
