mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
Added changes (#1909)
This commit is contained in:
Dmytro Struk
@@ -44,31 +44,30 @@ def azure_ai_unit_test_env(monkeypatch, exclude_list, override_env_param_dict):
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@fixture
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def mock_ai_project_client() -> MagicMock:
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"""Fixture that provides a mock AIProjectClient."""
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def mock_agents_client() -> MagicMock:
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"""Fixture that provides a mock AgentsClient."""
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mock_client = MagicMock()
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# Mock agents property
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mock_client.agents = MagicMock()
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mock_client.agents.create_agent = AsyncMock()
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mock_client.agents.delete_agent = AsyncMock()
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mock_client.create_agent = AsyncMock()
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mock_client.delete_agent = AsyncMock()
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# Mock agent creation response
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mock_agent = MagicMock()
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mock_agent.id = "test-agent-id"
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mock_client.agents.create_agent.return_value = mock_agent
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mock_client.create_agent.return_value = mock_agent
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# Mock threads property
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mock_client.agents.threads = MagicMock()
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mock_client.agents.threads.create = AsyncMock()
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mock_client.agents.messages.create = AsyncMock()
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mock_client.threads = MagicMock()
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mock_client.threads.create = AsyncMock()
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mock_client.messages.create = AsyncMock()
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# Mock runs property
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mock_client.agents.runs = MagicMock()
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mock_client.agents.runs.list = AsyncMock()
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mock_client.agents.runs.cancel = AsyncMock()
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mock_client.agents.runs.stream = AsyncMock()
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mock_client.agents.runs.submit_tool_outputs_stream = AsyncMock()
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mock_client.runs = MagicMock()
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mock_client.runs.list = AsyncMock()
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mock_client.runs.cancel = AsyncMock()
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mock_client.runs.stream = AsyncMock()
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mock_client.runs.submit_tool_outputs_stream = AsyncMock()
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return mock_client
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File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,473 @@
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# Copyright (c) Microsoft. All rights reserved.
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from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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from agent_framework import (
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ChatClientProtocol,
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ChatMessage,
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ChatOptions,
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Role,
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TextContent,
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)
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from agent_framework.exceptions import ServiceInitializationError
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from pydantic import ValidationError
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from agent_framework_azure_ai import AzureAIAgentClientV2, AzureAISettings
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def create_test_azure_ai_client_v2(
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mock_project_client: MagicMock,
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agent_name: str | None = None,
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agent_version: str | None = None,
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conversation_id: str | None = None,
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azure_ai_settings: AzureAISettings | None = None,
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should_close_client: bool = False,
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) -> AzureAIAgentClientV2:
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"""Helper function to create AzureAIAgentClientV2 instances for testing, bypassing normal validation."""
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if azure_ai_settings is None:
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azure_ai_settings = AzureAISettings(env_file_path="test.env")
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# Create client instance directly
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client = object.__new__(AzureAIAgentClientV2)
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# Set attributes directly
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client.project_client = mock_project_client
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client.credential = None
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client.agent_name = agent_name
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client.agent_version = agent_version
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client.model_id = azure_ai_settings.model_deployment_name
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client.conversation_id = conversation_id
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client._should_close_client = should_close_client # type: ignore
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client.additional_properties = {}
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client.middleware = None
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# Mock the OpenAI client attribute
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mock_openai_client = MagicMock()
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mock_openai_client.conversations = MagicMock()
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mock_openai_client.conversations.create = AsyncMock()
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client.client = mock_openai_client
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return client
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def test_azure_ai_settings_init(azure_ai_unit_test_env: dict[str, str]) -> None:
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"""Test AzureAISettings initialization."""
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settings = AzureAISettings()
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assert settings.project_endpoint == azure_ai_unit_test_env["AZURE_AI_PROJECT_ENDPOINT"]
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assert settings.model_deployment_name == azure_ai_unit_test_env["AZURE_AI_MODEL_DEPLOYMENT_NAME"]
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def test_azure_ai_settings_init_with_explicit_values() -> None:
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"""Test AzureAISettings initialization with explicit values."""
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settings = AzureAISettings(
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project_endpoint="https://custom-endpoint.com/",
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model_deployment_name="custom-model",
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)
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assert settings.project_endpoint == "https://custom-endpoint.com/"
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assert settings.model_deployment_name == "custom-model"
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def test_azure_ai_client_v2_init_with_project_client(mock_project_client: MagicMock) -> None:
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"""Test AzureAIAgentClientV2 initialization with existing project_client."""
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with patch("agent_framework_azure_ai._chat_client_v2.AzureAISettings") as mock_settings:
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mock_settings.return_value.project_endpoint = None
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mock_settings.return_value.model_deployment_name = "test-model"
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client = AzureAIAgentClientV2(
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project_client=mock_project_client,
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agent_name="test-agent",
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agent_version="1.0",
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)
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assert client.project_client is mock_project_client
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assert client.agent_name == "test-agent"
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assert client.agent_version == "1.0"
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assert not client._should_close_client # type: ignore
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assert isinstance(client, ChatClientProtocol)
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def test_azure_ai_client_v2_init_auto_create_client(
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azure_ai_unit_test_env: dict[str, str],
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mock_azure_credential: MagicMock,
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) -> None:
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"""Test AzureAIAgentClientV2 initialization with auto-created project_client."""
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with patch("agent_framework_azure_ai._chat_client_v2.AIProjectClient") as mock_ai_project_client:
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mock_project_client = MagicMock()
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mock_ai_project_client.return_value = mock_project_client
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client = AzureAIAgentClientV2(
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project_endpoint=azure_ai_unit_test_env["AZURE_AI_PROJECT_ENDPOINT"],
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model_deployment_name=azure_ai_unit_test_env["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
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async_credential=mock_azure_credential,
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agent_name="test-agent",
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)
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assert client.project_client is mock_project_client
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assert client.agent_name == "test-agent"
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assert client._should_close_client # type: ignore
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# Verify AIProjectClient was called with correct parameters
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mock_ai_project_client.assert_called_once()
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def test_azure_ai_client_v2_init_missing_project_endpoint() -> None:
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"""Test AzureAIAgentClientV2 initialization when project_endpoint is missing and no project_client provided."""
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with patch("agent_framework_azure_ai._chat_client_v2.AzureAISettings") as mock_settings:
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mock_settings.return_value.project_endpoint = None
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mock_settings.return_value.model_deployment_name = "test-model"
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with pytest.raises(ServiceInitializationError, match="Azure AI project endpoint is required"):
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AzureAIAgentClientV2(async_credential=MagicMock())
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def test_azure_ai_client_v2_init_missing_model_deployment() -> None:
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"""Test AzureAIAgentClientV2 initialization when model deployment is missing for agent creation."""
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with patch("agent_framework_azure_ai._chat_client_v2.AzureAISettings") as mock_settings:
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mock_settings.return_value.project_endpoint = "https://test.com"
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mock_settings.return_value.model_deployment_name = None
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with pytest.raises(ServiceInitializationError, match="Azure AI model deployment name is required"):
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AzureAIAgentClientV2(async_credential=MagicMock())
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def test_azure_ai_client_v2_init_missing_credential(azure_ai_unit_test_env: dict[str, str]) -> None:
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"""Test AzureAIAgentClientV2.__init__ when async_credential is missing and no project_client provided."""
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with pytest.raises(
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ServiceInitializationError, match="Azure credential is required when project_client is not provided"
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):
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AzureAIAgentClientV2(
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project_endpoint=azure_ai_unit_test_env["AZURE_AI_PROJECT_ENDPOINT"],
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model_deployment_name=azure_ai_unit_test_env["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
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)
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def test_azure_ai_client_v2_init_validation_error(mock_azure_credential: MagicMock) -> None:
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"""Test that ValidationError in AzureAISettings is properly handled."""
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with patch("agent_framework_azure_ai._chat_client_v2.AzureAISettings") as mock_settings:
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mock_settings.side_effect = ValidationError.from_exception_data("test", [])
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with pytest.raises(ServiceInitializationError, match="Failed to create Azure AI settings"):
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AzureAIAgentClientV2(async_credential=mock_azure_credential)
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async def test_azure_ai_client_v2_get_agent_reference_or_create_existing_version(
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mock_project_client: MagicMock,
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) -> None:
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"""Test _get_agent_reference_or_create when agent_version is already provided."""
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client = create_test_azure_ai_client_v2(mock_project_client, agent_name="existing-agent", agent_version="1.0")
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agent_ref = await client._get_agent_reference_or_create({}, None) # type: ignore
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assert agent_ref == {"name": "existing-agent", "version": "1.0", "type": "agent_reference"}
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async def test_azure_ai_client_v2_get_agent_reference_or_create_new_agent(
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mock_project_client: MagicMock,
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azure_ai_unit_test_env: dict[str, str],
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) -> None:
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"""Test _get_agent_reference_or_create when creating a new agent."""
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azure_ai_settings = AzureAISettings(model_deployment_name=azure_ai_unit_test_env["AZURE_AI_MODEL_DEPLOYMENT_NAME"])
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client = create_test_azure_ai_client_v2(
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mock_project_client, agent_name="new-agent", azure_ai_settings=azure_ai_settings
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)
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# Mock agent creation response
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mock_agent = MagicMock()
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mock_agent.name = "new-agent"
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mock_agent.version = "1.0"
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mock_project_client.agents.create_version = AsyncMock(return_value=mock_agent)
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run_options = {"model": azure_ai_settings.model_deployment_name}
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agent_ref = await client._get_agent_reference_or_create(run_options, None) # type: ignore
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assert agent_ref == {"name": "new-agent", "version": "1.0", "type": "agent_reference"}
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assert client.agent_name == "new-agent"
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assert client.agent_version == "1.0"
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async def test_azure_ai_client_v2_get_agent_reference_missing_model(
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mock_project_client: MagicMock,
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) -> None:
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"""Test _get_agent_reference_or_create when model is missing for agent creation."""
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client = create_test_azure_ai_client_v2(mock_project_client, agent_name="test-agent")
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with pytest.raises(ServiceInitializationError, match="Model deployment name is required for agent creation"):
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await client._get_agent_reference_or_create({}, None) # type: ignore
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async def test_azure_ai_client_v2_get_conversation_id_or_create_existing(
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mock_project_client: MagicMock,
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) -> None:
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"""Test _get_conversation_id_or_create when conversation_id is already provided."""
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client = create_test_azure_ai_client_v2(mock_project_client, conversation_id="existing-conversation")
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conversation_id = await client._get_conversation_id_or_create({}) # type: ignore
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assert conversation_id == "existing-conversation"
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async def test_azure_ai_client_v2_get_conversation_id_or_create_new(
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mock_project_client: MagicMock,
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) -> None:
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"""Test _get_conversation_id_or_create when creating a new conversation."""
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client = create_test_azure_ai_client_v2(mock_project_client)
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# Mock conversation creation response
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mock_conversation = MagicMock()
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mock_conversation.id = "new-conversation-123"
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client.client.conversations.create = AsyncMock(return_value=mock_conversation)
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conversation_id = await client._get_conversation_id_or_create({}) # type: ignore
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assert conversation_id == "new-conversation-123"
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client.client.conversations.create.assert_called_once()
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async def test_azure_ai_client_v2_prepare_input_with_system_messages(
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mock_project_client: MagicMock,
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) -> None:
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"""Test _prepare_input converts system/developer messages to instructions."""
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client = create_test_azure_ai_client_v2(mock_project_client)
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messages = [
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ChatMessage(role=Role.SYSTEM, contents=[TextContent(text="You are a helpful assistant.")]),
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ChatMessage(role=Role.USER, contents=[TextContent(text="Hello")]),
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ChatMessage(role=Role.ASSISTANT, contents=[TextContent(text="System response")]),
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]
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result_messages, instructions = client._prepare_input(messages) # type: ignore
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assert len(result_messages) == 2
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assert result_messages[0].role == Role.USER
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assert result_messages[1].role == Role.ASSISTANT
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assert instructions == "You are a helpful assistant."
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async def test_azure_ai_client_v2_prepare_input_no_system_messages(
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mock_project_client: MagicMock,
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) -> None:
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"""Test _prepare_input with no system/developer messages."""
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client = create_test_azure_ai_client_v2(mock_project_client)
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messages = [
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ChatMessage(role=Role.USER, contents=[TextContent(text="Hello")]),
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ChatMessage(role=Role.ASSISTANT, contents=[TextContent(text="Hi there!")]),
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]
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result_messages, instructions = client._prepare_input(messages) # type: ignore
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assert len(result_messages) == 2
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assert instructions is None
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async def test_azure_ai_client_v2_prepare_options_basic(mock_project_client: MagicMock) -> None:
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"""Test prepare_options basic functionality."""
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client = create_test_azure_ai_client_v2(mock_project_client, agent_name="test-agent", agent_version="1.0")
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messages = [ChatMessage(role=Role.USER, contents=[TextContent(text="Hello")])]
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chat_options = ChatOptions()
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with (
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patch.object(client.__class__.__bases__[0], "prepare_options", return_value={"model": "test-model"}),
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patch.object(
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client,
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"_get_agent_reference_or_create",
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return_value={"name": "test-agent", "version": "1.0", "type": "agent_reference"},
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),
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):
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run_options = await client.prepare_options(messages, chat_options)
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assert "extra_body" in run_options
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assert run_options["extra_body"]["agent"]["name"] == "test-agent"
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async def test_azure_ai_client_v2_prepare_options_with_store(mock_project_client: MagicMock) -> None:
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"""Test prepare_options with store=True creates conversation."""
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client = create_test_azure_ai_client_v2(mock_project_client, agent_name="test-agent", agent_version="1.0")
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# Mock conversation creation
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mock_conversation = MagicMock()
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mock_conversation.id = "new-conversation-456"
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client.client.conversations.create = AsyncMock(return_value=mock_conversation)
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messages = [ChatMessage(role=Role.USER, contents=[TextContent(text="Hello")])]
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chat_options = ChatOptions(store=True)
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with (
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patch.object(
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client.__class__.__bases__[0], "prepare_options", return_value={"model": "test-model", "store": True}
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),
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patch.object(
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client,
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"_get_agent_reference_or_create",
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return_value={"name": "test-agent", "version": "1.0", "type": "agent_reference"},
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),
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):
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run_options = await client.prepare_options(messages, chat_options)
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assert "conversation" in run_options
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assert run_options["conversation"] == "new-conversation-456"
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async def test_azure_ai_client_v2_initialize_client(mock_project_client: MagicMock) -> None:
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"""Test initialize_client method."""
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client = create_test_azure_ai_client_v2(mock_project_client)
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mock_openai_client = MagicMock()
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mock_project_client.get_openai_client = AsyncMock(return_value=mock_openai_client)
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await client.initialize_client()
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assert client.client is mock_openai_client
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mock_project_client.get_openai_client.assert_called_once()
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def test_azure_ai_client_v2_get_conversation_id_from_response(mock_project_client: MagicMock) -> None:
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"""Test get_conversation_id method."""
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client = create_test_azure_ai_client_v2(mock_project_client)
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# Test with conversation and store=True
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mock_response = MagicMock()
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mock_response.conversation.id = "test-conversation-123"
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conversation_id = client.get_conversation_id(mock_response, store=True)
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assert conversation_id == "test-conversation-123"
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# Test with store=False
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conversation_id = client.get_conversation_id(mock_response, store=False)
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assert conversation_id is None
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# Test with no conversation
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mock_response.conversation = None
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conversation_id = client.get_conversation_id(mock_response, store=True)
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assert conversation_id is None
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def test_azure_ai_client_v2_update_agent_name(mock_project_client: MagicMock) -> None:
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"""Test _update_agent_name method."""
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client = create_test_azure_ai_client_v2(mock_project_client)
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# Test updating agent name when current is None
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with patch.object(client, "_update_agent_name") as mock_update:
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mock_update.return_value = None
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client._update_agent_name("new-agent") # type: ignore
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mock_update.assert_called_once_with("new-agent")
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# Test behavior when agent name is updated
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assert client.agent_name is None # Should remain None since we didn't actually update
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client.agent_name = "test-agent" # Manually set for the test
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# Test with None input
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with patch.object(client, "_update_agent_name") as mock_update:
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mock_update.return_value = None
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client._update_agent_name(None) # type: ignore
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mock_update.assert_called_once_with(None)
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||||
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||||
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async def test_azure_ai_client_v2_async_context_manager(mock_project_client: MagicMock) -> None:
|
||||
"""Test async context manager functionality."""
|
||||
client = create_test_azure_ai_client_v2(mock_project_client, should_close_client=True)
|
||||
|
||||
mock_project_client.close = AsyncMock()
|
||||
|
||||
async with client as ctx_client:
|
||||
assert ctx_client is client
|
||||
|
||||
# Should call close after exiting context
|
||||
mock_project_client.close.assert_called_once()
|
||||
|
||||
|
||||
async def test_azure_ai_client_v2_close_method(mock_project_client: MagicMock) -> None:
|
||||
"""Test close method."""
|
||||
client = create_test_azure_ai_client_v2(mock_project_client, should_close_client=True)
|
||||
|
||||
mock_project_client.close = AsyncMock()
|
||||
|
||||
await client.close()
|
||||
|
||||
mock_project_client.close.assert_called_once()
|
||||
|
||||
|
||||
async def test_azure_ai_client_v2_close_client_when_should_close_false(mock_project_client: MagicMock) -> None:
|
||||
"""Test _close_client_if_needed when should_close_client is False."""
|
||||
client = create_test_azure_ai_client_v2(mock_project_client, should_close_client=False)
|
||||
|
||||
mock_project_client.close = AsyncMock()
|
||||
|
||||
await client._close_client_if_needed() # type: ignore
|
||||
|
||||
# Should not call close when should_close_client is False
|
||||
mock_project_client.close.assert_not_called()
|
||||
|
||||
|
||||
async def test_azure_ai_client_v2_agent_creation_with_instructions(
|
||||
mock_project_client: MagicMock,
|
||||
) -> None:
|
||||
"""Test agent creation with combined instructions."""
|
||||
client = create_test_azure_ai_client_v2(mock_project_client, agent_name="test-agent")
|
||||
|
||||
# Mock agent creation response
|
||||
mock_agent = MagicMock()
|
||||
mock_agent.name = "test-agent"
|
||||
mock_agent.version = "1.0"
|
||||
mock_project_client.agents.create_version = AsyncMock(return_value=mock_agent)
|
||||
|
||||
run_options = {"model": "test-model", "instructions": "Option instructions. "}
|
||||
messages_instructions = "Message instructions. "
|
||||
|
||||
await client._get_agent_reference_or_create(run_options, messages_instructions) # type: ignore
|
||||
|
||||
# Verify agent was created with combined instructions
|
||||
call_args = mock_project_client.agents.create_version.call_args
|
||||
assert call_args[1]["definition"].instructions == "Message instructions. Option instructions. "
|
||||
|
||||
|
||||
async def test_azure_ai_client_v2_agent_creation_with_tools(
|
||||
mock_project_client: MagicMock,
|
||||
) -> None:
|
||||
"""Test agent creation with tools."""
|
||||
client = create_test_azure_ai_client_v2(mock_project_client, agent_name="test-agent")
|
||||
|
||||
# Mock agent creation response
|
||||
mock_agent = MagicMock()
|
||||
mock_agent.name = "test-agent"
|
||||
mock_agent.version = "1.0"
|
||||
mock_project_client.agents.create_version = AsyncMock(return_value=mock_agent)
|
||||
|
||||
test_tools = [{"type": "function", "function": {"name": "test_tool"}}]
|
||||
run_options = {"model": "test-model", "tools": test_tools}
|
||||
|
||||
await client._get_agent_reference_or_create(run_options, None) # type: ignore
|
||||
|
||||
# Verify agent was created with tools
|
||||
call_args = mock_project_client.agents.create_version.call_args
|
||||
assert call_args[1]["definition"].tools == test_tools
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def mock_project_client() -> MagicMock:
|
||||
"""Fixture that provides a mock AIProjectClient."""
|
||||
mock_client = MagicMock()
|
||||
|
||||
# Mock agents property
|
||||
mock_client.agents = MagicMock()
|
||||
mock_client.agents.create_version = AsyncMock()
|
||||
|
||||
# Mock conversations property
|
||||
mock_client.conversations = MagicMock()
|
||||
mock_client.conversations.create = AsyncMock()
|
||||
|
||||
# Mock telemetry property
|
||||
mock_client.telemetry = MagicMock()
|
||||
mock_client.telemetry.get_application_insights_connection_string = AsyncMock()
|
||||
|
||||
# Mock get_openai_client method
|
||||
mock_client.get_openai_client = AsyncMock()
|
||||
|
||||
# Mock close method
|
||||
mock_client.close = AsyncMock()
|
||||
|
||||
return mock_client
|
||||
Reference in New Issue
Block a user