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# coding=utf-8
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
import pytest
from azure.ai.language.conversations import ConversationAnalysisClient
from azure.core.credentials import AzureKeyCredential
from devtools_testutils import AzureRecordedTestCase
class TestConversationApp(AzureRecordedTestCase):
def test_conversation_app(self, recorded_test, conversation_creds):
# analyze query
client = ConversationAnalysisClient(
conversation_creds["endpoint"],
AzureKeyCredential(conversation_creds["key"])
)
with client:
query = "Send an email to Carol about the tomorrow's demo"
result = client.analyze_conversation(
task={
"kind": "Conversation",
"analysisInput": {
"conversationItem": {
"participantId": "1",
"id": "1",
"modality": "text",
"language": "en",
"text": query
},
"isLoggingEnabled": False
},
"parameters": {
"projectName": conversation_creds["conv_project_name"],
"deploymentName": conversation_creds["conv_deployment_name"],
"verbose": True
}
}
)
# assert - main object
assert not result is None
assert result["kind"] == "ConversationResult"
# assert - prediction type
assert result["result"]["query"] == query
assert result["result"]["prediction"]["projectKind"] == 'Conversation'
# assert - top intent
assert result["result"]["prediction"]["topIntent"] == 'Send'
assert len(result["result"]["prediction"]["intents"]) > 0
assert result["result"]["prediction"]["intents"][0]["category"] == 'Send'
assert result["result"]["prediction"]["intents"][0]["confidenceScore"] > 0
# assert - entities
assert len(result["result"]["prediction"]["entities"]) > 0
assert result["result"]["prediction"]["entities"][0]["category"] == 'Contact'
assert result["result"]["prediction"]["entities"][0]["text"] == 'Carol'
assert result["result"]["prediction"]["entities"][0]["confidenceScore"] > 0
@pytest.mark.skip("no runtime AAD yet for 2023-04-01")
def test_conversation_app_aad_auth(self, recorded_test, conversation_creds):
token = self.get_credential(ConversationAnalysisClient)
client = ConversationAnalysisClient(conversation_creds["endpoint"], token)
with client:
query = "Send an email to Carol about the tomorrow's demo"
result = client.analyze_conversation(
task={
"kind": "Conversation",
"analysisInput": {
"conversationItem": {
"participantId": "1",
"id": "1",
"modality": "text",
"language": "en",
"text": query
},
"isLoggingEnabled": False
},
"parameters": {
"projectName": conversation_creds["conv_project_name"],
"deploymentName": conversation_creds["conv_deployment_name"],
"verbose": True
}
}
)
# assert - main object
assert not result is None
assert result["kind"] == "ConversationResult"
# assert - prediction type
assert result["result"]["query"] == query
assert result["result"]["prediction"]["projectKind"] == 'Conversation'
# assert - top intent
assert result["result"]["prediction"]["topIntent"] == 'Send'
assert len(result["result"]["prediction"]["intents"]) > 0
assert result["result"]["prediction"]["intents"][0]["category"] == 'Send'
assert result["result"]["prediction"]["intents"][0]["confidenceScore"] > 0
# assert - entities
assert len(result["result"]["prediction"]["entities"]) > 0
assert result["result"]["prediction"]["entities"][0]["category"] == 'Contact'
assert result["result"]["prediction"]["entities"][0]["text"] == 'Carol'
assert result["result"]["prediction"]["entities"][0]["confidenceScore"] > 0
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