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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.core.credentials import AzureKeyCredential
from azure.ai.language.conversations.authoring import ConversationAuthoringClient
from azure.ai.language.conversations.authoring.models import StringIndexType
ConversationsPreparer = functools.partial(
EnvironmentVariableLoader,
"authoring",
authoring_endpoint="https://Sanitized.cognitiveservices.azure.com/",
authoring_key="fake_key",
)
class TestConversations(AzureRecordedTestCase):
def create_client(self, endpoint, key):
return ConversationAuthoringClient(endpoint, AzureKeyCredential(key))
class TestConversationsGetModelEvaluationResultsSync(TestConversations):
@ConversationsPreparer()
@recorded_by_proxy
def test_get_model_evaluation_results(self, authoring_endpoint, authoring_key):
authoring_client = self.create_client(authoring_endpoint, authoring_key)
project_name = "Aurora-CLU-Prod"
trained_model_label = "m1"
# Get trained-model scoped client and fetch the paged evaluation results
project_client = authoring_client.get_project_client(project_name)
results = project_client.trained_model.get_model_evaluation_results(
trained_model_label=trained_model_label, string_index_type="Utf16CodeUnit"
)
# Iterate and print like the C# sample
seen = 0
for r in results:
seen += 1
print(f"Text: {getattr(r, 'text', None)}")
print(f"Language: {getattr(r, 'language', None)}")
intents_result = getattr(r, "intents_result", None)
if intents_result:
print(f"Expected Intent: {getattr(intents_result, 'expected_intent', None)}")
print(f"Predicted Intent: {getattr(intents_result, 'predicted_intent', None)}")
entities_result = getattr(r, "entities_result", None)
if entities_result:
expected_entities = getattr(entities_result, "expected_entities", []) or []
print("Expected Entities:")
for ent in expected_entities:
print(
f" - Category: {getattr(ent, 'category', None)}, Offset: {getattr(ent, 'offset', None)}, Length: {getattr(ent, 'length', None)}"
)
predicted_entities = getattr(entities_result, "predicted_entities", []) or []
print("Predicted Entities:")
for ent in predicted_entities:
print(
f" - Category: {getattr(ent, 'category', None)}, Offset: {getattr(ent, 'offset', None)}, Length: {getattr(ent, 'length', None)}"
)
print()
# Basic assertion that call succeeded (pageable iterated, possibly empty)
assert results is not None
|
