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# coding=utf-8
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
FILE: sample_cancel_training_job.py
DESCRIPTION:
This sample demonstrates how to cancel a training job in a Conversation Authoring project.
USAGE:
python sample_cancel_training_job.py
REQUIRED ENV VARS (for AAD / DefaultAzureCredential):
AZURE_CONVERSATIONS_AUTHORING_ENDPOINT
AZURE_CLIENT_ID
AZURE_TENANT_ID
AZURE_CLIENT_SECRET
NOTE:
If you want to use AzureKeyCredential instead, set:
- AZURE_CONVERSATIONS_AUTHORING_ENDPOINT
- AZURE_CONVERSATIONS_AUTHORING_KEY
OPTIONAL ENV VARS:
PROJECT_NAME # defaults to "<project-name>"
JOB_ID # defaults to "<job-id>"
"""
# [START conversation_authoring_cancel_training_job]
import os
from azure.identity import DefaultAzureCredential
from azure.ai.language.conversations.authoring import ConversationAuthoringClient
def sample_cancel_training_job():
# settings
endpoint = os.environ["AZURE_CONVERSATIONS_AUTHORING_ENDPOINT"]
project_name = os.environ.get("PROJECT_NAME", "<project-name>")
job_id = os.environ.get("JOB_ID", "<job-id>")
# create a client with AAD
credential = DefaultAzureCredential()
client = ConversationAuthoringClient(endpoint, credential=credential)
project_client = client.get_project_client(project_name)
poller = project_client.project.begin_cancel_training_job(
job_id=job_id,
)
result = poller.result() # TrainingJobResult
print(f"Model Label: {result.model_label}")
print(f"Training Config Version: {result.training_config_version}")
print(f"Training Mode: {result.training_mode}")
if result.data_generation_status is not None:
print(f"Data Generation Status: {result.data_generation_status.status}")
print(f"Data Generation %: {result.data_generation_status.percent_complete}")
if result.training_status is not None:
print(f"Training Status: {result.training_status.status}")
print(f"Training %: {result.training_status.percent_complete}")
if result.evaluation_status is not None:
print(f"Evaluation Status: {result.evaluation_status.status}")
print(f"Evaluation %: {result.evaluation_status.percent_complete}")
print(f"Estimated End: {result.estimated_end_on}")
# [END conversation_authoring_cancel_training_job]
def main():
sample_cancel_training_job()
if __name__ == "__main__":
main()
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