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# pylint: disable=line-too-long,useless-suppression
import functools
import pytest
from devtools_testutils import AzureRecordedTestCase, EnvironmentVariableLoader, recorded_by_proxy
from azure.ai.language.conversations import ConversationAnalysisClient, AnalyzeConversationLROPoller
from azure.core.paging import ItemPaged
from azure.ai.language.conversations.models import (
MultiLanguageConversationInput,
TextConversation,
TextConversationItem,
SummarizationOperationAction,
ConversationSummarizationActionContent,
SummaryAspect,
AnalyzeConversationOperationInput,
ParticipantRole,
AnalyzeConversationOperationAction,
SummarizationOperationResult,
ConversationActions,
)
from typing import cast, List
from azure.core.credentials import AzureKeyCredential
ConversationsPreparer = functools.partial(
EnvironmentVariableLoader,
"conversations",
conversations_endpoint="https://Sanitized.cognitiveservices.azure.com/",
conversations_key="fake_key",
)
class TestConversations(AzureRecordedTestCase):
# Start with any helper functions you might need, for example a client creation method:
def create_client(self, endpoint, key):
credential = AzureKeyCredential(key)
client = ConversationAnalysisClient(endpoint, credential)
return client
...
class TestConversationsCase(TestConversations):
@ConversationsPreparer()
@recorded_by_proxy
def test_conversation_summarization(self, conversations_endpoint, conversations_key):
conversation_client = self.create_client(conversations_endpoint, conversations_key)
# Construct conversation input
conversation_items = [
TextConversationItem(
id="1", participant_id="Agent_1", text="Hello, how can I help you?", role=ParticipantRole.AGENT
),
TextConversationItem(
id="2",
participant_id="Customer_1",
text="How to upgrade Office? I am getting error messages the whole day.",
role=ParticipantRole.CUSTOMER,
),
TextConversationItem(
id="3",
participant_id="Agent_1",
text="Press the upgrade button please. Then sign in and follow the instructions.",
role=ParticipantRole.AGENT,
),
]
conversation_input = MultiLanguageConversationInput(
conversations=[TextConversation(id="1", language="en", conversation_items=conversation_items)]
)
# Construct summarization actions
actions = [
SummarizationOperationAction(
name="Issue task",
action_content=ConversationSummarizationActionContent(summary_aspects=[SummaryAspect.ISSUE]),
),
SummarizationOperationAction(
name="Resolution task",
action_content=ConversationSummarizationActionContent(summary_aspects=[SummaryAspect.RESOLUTION]),
),
]
# Wrap into operation input
operation_input = AnalyzeConversationOperationInput(
conversation_input=conversation_input, actions=cast(List[AnalyzeConversationOperationAction], actions)
)
# ---- begin_* now returns AnalyzeConversationLROPoller[ItemPaged[ConversationActions]]
poller: AnalyzeConversationLROPoller[ItemPaged[ConversationActions]] = (
conversation_client.begin_analyze_conversation_job(body=operation_input)
)
# You can read operation id immediately (from initial response headers)
print(f"Operation ID: {poller.details.get('operation_id')}")
# Result is an ItemPaged[ConversationActions]
paged_actions: ItemPaged[ConversationActions] = poller.result()
# Final-state metadata is available after completion via poller.details
d = poller.details
print(f"Job ID: {d.get('job_id')}")
print(f"Status: {d.get('status')}")
print(f"Created: {d.get('created_date_time')}")
print(f"Last Updated: {d.get('last_updated_date_time')}")
if d.get("expiration_date_time"):
print(f"Expires: {d.get('expiration_date_time')}")
if d.get("display_name"):
print(f"Display Name: {d.get('display_name')}")
# Iterate items; each iteration yields a ConversationActions (your implementation pages by next_link)
for actions_page in paged_actions:
print(
f"Completed: {actions_page.completed}, "
f"In Progress: {actions_page.in_progress}, "
f"Failed: {actions_page.failed}, "
f"Total: {actions_page.total}"
)
for action_result in actions_page.task_results or []:
print(f"\nAction Name: {getattr(action_result, 'name', None)}")
print(f"Action Status: {getattr(action_result, 'status', None)}")
print(f"Kind: {getattr(action_result, 'kind', None)}")
if isinstance(action_result, SummarizationOperationResult):
for conversation in action_result.results.conversations:
print(f" Conversation ID: {conversation.id}")
print(" Summaries:")
for summary in conversation.summaries:
print(f" Aspect: {summary.aspect}")
print(f" Text: {summary.text}")
if conversation.warnings:
print(" Warnings:")
for warning in conversation.warnings:
print(f" Code: {warning.code}, Message: {warning.message}")
else:
print(" [No supported results to display for this action type]")
# Print errors (now exposed via poller.details from the final state)
if d.get("errors"):
print("\nErrors:")
for error in d["errors"]:
print(f" Code: {error.code} - {error.message}")
|
