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Python: Foundry Chat Client unit tests to improve coverage (#423)
* Add unit tests for Foundry Chat Client to improve coverage * Updated Azure OpenAI endpoint and tests timeout * Error fixes for Foundry Chat Client tests * Error fixes --------- Co-authored-by: Giles Odigwe <gilesodigwe@microsoft.com> Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>
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@@ -43,7 +43,7 @@ addopts = "-ra -q -r fEX"
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asyncio_mode = "auto"
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asyncio_default_fixture_loop_scope = "function"
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filterwarnings = []
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timeout = 300
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timeout = 120
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[tool.ruff]
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extend = "../../pyproject.toml"
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@@ -2,7 +2,7 @@
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import os
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from typing import Annotated
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from unittest.mock import MagicMock
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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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@@ -12,11 +12,19 @@ from agent_framework import (
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ChatResponse,
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ChatResponseUpdate,
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ChatRole,
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FunctionCallContent,
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FunctionResultContent,
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TextContent,
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UriContent,
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)
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from agent_framework.exceptions import ServiceInitializationError
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from azure.ai.agents.models import (
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RequiredFunctionToolCall,
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SubmitToolOutputsAction,
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ThreadRun,
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)
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from azure.identity.aio import DefaultAzureCredential
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from pydantic import Field
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from pydantic import Field, ValidationError
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from agent_framework_foundry import FoundryChatClient, FoundrySettings
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@@ -135,6 +143,32 @@ def test_foundry_chat_client_from_dict(mock_ai_project_client: MagicMock) -> Non
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assert chat_client.thread_id == "test-thread-id"
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def test_foundry_chat_client_init_missing_credential(foundry_unit_test_env: dict[str, str]) -> None:
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"""Test FoundryChatClient.__init__ when async_ad_credential is missing and no client provided."""
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with pytest.raises(ServiceInitializationError, match="Azure AD credential is required when client is not provided"):
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FoundryChatClient(
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client=None,
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agent_id="existing-agent",
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project_endpoint=foundry_unit_test_env["FOUNDRY_PROJECT_ENDPOINT"],
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model_deployment_name=foundry_unit_test_env["FOUNDRY_MODEL_DEPLOYMENT_NAME"],
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async_ad_credential=None, # Missing credential
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)
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def test_foundry_chat_client_init_validation_error(mock_azure_credential: MagicMock) -> None:
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"""Test that ValidationError in FoundrySettings is properly handled."""
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with patch("agent_framework_foundry._chat_client.FoundrySettings") as mock_settings:
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# Create a proper ValidationError with empty errors list and model dict
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mock_settings.side_effect = ValidationError.from_exception_data("FoundrySettings", [])
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with pytest.raises(ServiceInitializationError, match="Failed to create Foundry settings"):
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FoundryChatClient(
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project_endpoint="https://test.com",
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model_deployment_name="test-model",
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async_ad_credential=mock_azure_credential,
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)
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async def test_foundry_chat_client_get_agent_id_or_create_existing_agent(
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mock_ai_project_client: MagicMock,
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) -> None:
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@@ -163,6 +197,57 @@ async def test_foundry_chat_client_get_agent_id_or_create_create_new(
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assert chat_client._should_delete_agent # type: ignore
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async def test_foundry_chat_client_tool_results_without_thread_error_via_public_api(
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mock_ai_project_client: MagicMock,
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) -> None:
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"""Test that tool results without thread ID raise error through public API."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client, agent_id="test-agent")
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# Create messages with tool results but no thread/conversation ID
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messages = [
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ChatMessage(role=ChatRole.USER, text="Hello"),
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ChatMessage(
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role=ChatRole.TOOL, contents=[FunctionResultContent(call_id='["run_123", "call_456"]', result="Result")]
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),
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]
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# This should raise ValueError when called through public API
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with pytest.raises(ValueError, match="No thread ID was provided, but chat messages includes tool results"):
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async for _ in chat_client.get_streaming_response(messages):
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pass
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async def test_foundry_chat_client_thread_management_through_public_api(mock_ai_project_client: MagicMock) -> None:
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"""Test thread creation and management through public API."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client, agent_id="test-agent")
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mock_thread = MagicMock()
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mock_thread.id = "new-thread-456"
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mock_ai_project_client.agents.threads.create = AsyncMock(return_value=mock_thread)
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mock_stream = AsyncMock()
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mock_ai_project_client.agents.runs.stream = AsyncMock(return_value=mock_stream)
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# Create an async iterator that yields nothing (empty stream)
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async def empty_async_iter():
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return
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yield # Make this a generator (unreachable)
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mock_stream.__aenter__ = AsyncMock(return_value=empty_async_iter())
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mock_stream.__aexit__ = AsyncMock(return_value=None)
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messages = [ChatMessage(role=ChatRole.USER, text="Hello")]
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# Call without existing thread - should create new one
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response = chat_client.get_streaming_response(messages)
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# Consume the generator to trigger the method execution
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async for _ in response:
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pass
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# Verify thread creation was called
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mock_ai_project_client.agents.threads.create.assert_called_once()
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@pytest.mark.parametrize("exclude_list", [["FOUNDRY_MODEL_DEPLOYMENT_NAME"]], indirect=True)
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async def test_foundry_chat_client_get_agent_id_or_create_missing_model(
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mock_ai_project_client: MagicMock, foundry_unit_test_env: dict[str, str]
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@@ -268,9 +353,25 @@ def test_foundry_chat_client_create_run_options_no_chat_options(mock_ai_project_
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assert tool_results is None
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def test_foundry_chat_client_create_run_options_with_image_content(mock_ai_project_client: MagicMock) -> None:
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"""Test _create_run_options with image content."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client, agent_id="test-agent")
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image_content = UriContent(uri="https://example.com/image.jpg", media_type="image/jpeg")
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messages = [ChatMessage(role=ChatRole.USER, contents=[image_content])]
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run_options, _ = chat_client._create_run_options(messages, None) # type: ignore
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assert "additional_messages" in run_options
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assert len(run_options["additional_messages"]) == 1
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# Verify image was converted to MessageInputImageUrlBlock
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message = run_options["additional_messages"][0]
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assert len(message.content) == 1
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def test_foundry_chat_client_convert_function_results_to_tool_output(mock_ai_project_client: MagicMock) -> None:
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"""Test _convert_function_results_to_tool_output method."""
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from agent_framework import FunctionResultContent
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chat_client = create_test_foundry_chat_client(mock_ai_project_client)
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@@ -296,6 +397,218 @@ def test_foundry_chat_client_convert_function_results_to_tool_output_none(mock_a
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assert tool_outputs is None
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async def test_foundry_chat_client_close_client_when_should_close_true(mock_ai_project_client: MagicMock) -> None:
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"""Test _close_client_if_needed closes client when should_close_client is True."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client)
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chat_client._should_close_client = True # type: ignore
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mock_ai_project_client.close = AsyncMock()
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await chat_client._close_client_if_needed() # type: ignore
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mock_ai_project_client.close.assert_called_once()
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async def test_foundry_chat_client_close_client_when_should_close_false(mock_ai_project_client: MagicMock) -> None:
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"""Test _close_client_if_needed does not close client when should_close_client is False."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client)
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chat_client._should_close_client = False # type: ignore
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await chat_client._close_client_if_needed() # type: ignore
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mock_ai_project_client.close.assert_not_called()
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def test_foundry_chat_client_update_agent_name_when_current_is_none(mock_ai_project_client: MagicMock) -> None:
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"""Test _update_agent_name updates name when current agent_name is None."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client)
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chat_client.agent_name = None # type: ignore
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chat_client._update_agent_name("NewAgentName") # type: ignore
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assert chat_client.agent_name == "NewAgentName"
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def test_foundry_chat_client_update_agent_name_when_current_exists(mock_ai_project_client: MagicMock) -> None:
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"""Test _update_agent_name does not update when current agent_name exists."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client)
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chat_client.agent_name = "ExistingName" # type: ignore
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chat_client._update_agent_name("NewAgentName") # type: ignore
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assert chat_client.agent_name == "ExistingName"
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def test_foundry_chat_client_update_agent_name_with_none_input(mock_ai_project_client: MagicMock) -> None:
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"""Test _update_agent_name with None input."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client)
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chat_client.agent_name = None # type: ignore
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chat_client._update_agent_name(None) # type: ignore
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assert chat_client.agent_name is None
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def test_foundry_chat_client_create_run_options_with_messages(mock_ai_project_client: MagicMock) -> None:
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"""Test _create_run_options with different message types."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client)
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# Test with system message (becomes instruction)
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messages = [
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ChatMessage(role=ChatRole.SYSTEM, text="You are a helpful assistant"),
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ChatMessage(role=ChatRole.USER, text="Hello"),
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]
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run_options, _ = chat_client._create_run_options(messages, None) # type: ignore
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assert "instructions" in run_options
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assert "You are a helpful assistant" in run_options["instructions"]
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assert "additional_messages" in run_options
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assert len(run_options["additional_messages"]) == 1 # Only user message
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async def test_foundry_chat_client_inner_get_response(mock_ai_project_client: MagicMock) -> None:
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"""Test _inner_get_response method."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client, agent_id="test-agent")
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messages = [ChatMessage(role=ChatRole.USER, text="Hello")]
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chat_options = ChatOptions()
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async def mock_streaming_response():
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yield ChatResponseUpdate(role=ChatRole.ASSISTANT, text="Hello back")
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with (
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patch.object(chat_client, "_inner_get_streaming_response", return_value=mock_streaming_response()),
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patch("agent_framework.ChatResponse.from_chat_response_generator") as mock_from_generator,
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):
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mock_response = ChatResponse(role=ChatRole.ASSISTANT, text="Hello back")
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mock_from_generator.return_value = mock_response
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result = await chat_client._inner_get_response(messages=messages, chat_options=chat_options) # type: ignore
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assert result is mock_response
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mock_from_generator.assert_called_once()
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async def test_foundry_chat_client_get_agent_id_or_create_with_run_options(
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mock_ai_project_client: MagicMock, foundry_unit_test_env: dict[str, str]
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) -> None:
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"""Test _get_agent_id_or_create with run_options containing tools and instructions."""
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foundry_settings = FoundrySettings(
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model_deployment_name=foundry_unit_test_env["FOUNDRY_MODEL_DEPLOYMENT_NAME"], agent_name="TestAgent"
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)
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chat_client = create_test_foundry_chat_client(mock_ai_project_client, foundry_settings=foundry_settings)
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run_options = {
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"tools": [{"type": "function", "function": {"name": "test_tool"}}],
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"instructions": "Test instructions",
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"response_format": {"type": "json_object"},
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}
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agent_id = await chat_client._get_agent_id_or_create(run_options) # type: ignore
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assert agent_id == "test-agent-id"
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# Verify create_agent was called with run_options parameters
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mock_ai_project_client.agents.create_agent.assert_called_once()
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call_args = mock_ai_project_client.agents.create_agent.call_args[1]
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assert "tools" in call_args
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assert "instructions" in call_args
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assert "response_format" in call_args
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async def test_foundry_chat_client_create_agent_stream_with_tool_results(mock_ai_project_client: MagicMock) -> None:
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"""Test _create_agent_stream when tool results match active thread run."""
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chat_client = create_test_foundry_chat_client(
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mock_ai_project_client, agent_id="test-agent", thread_id="test-thread"
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)
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mock_thread_run = MagicMock()
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mock_thread_run.id = "run_123"
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mock_thread_run.thread_id = "test-thread"
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with patch.object(chat_client, "_get_active_thread_run", return_value=mock_thread_run):
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tool_results = [FunctionResultContent(call_id='["run_123", "call_456"]', result="Result")]
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mock_handler = MagicMock()
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mock_ai_project_client.agents.runs.submit_tool_outputs_stream = AsyncMock(return_value=None)
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with patch("agent_framework_foundry._chat_client.AsyncAgentEventHandler", return_value=mock_handler):
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stream, thread_id = await chat_client._create_agent_stream("test-thread", "test-agent", {}, tool_results) # type: ignore
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assert stream is mock_handler
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assert thread_id == "test-thread"
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mock_ai_project_client.agents.runs.submit_tool_outputs_stream.assert_called_once()
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async def test_foundry_chat_client_prepare_thread_cancels_active_run(mock_ai_project_client: MagicMock) -> None:
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"""Test _prepare_thread cancels active thread run when provided."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client, agent_id="test-agent")
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mock_thread_run = MagicMock()
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mock_thread_run.id = "run_123"
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mock_thread_run.thread_id = "test-thread"
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run_options = {"additional_messages": []} # type: ignore
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result = await chat_client._prepare_thread("test-thread", mock_thread_run, run_options) # type: ignore
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assert result == "test-thread"
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mock_ai_project_client.agents.runs.cancel.assert_called_once_with("test-thread", "run_123")
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def test_foundry_chat_client_create_function_call_contents_basic(mock_ai_project_client: MagicMock) -> None:
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"""Test _create_function_call_contents with basic function call."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client)
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mock_tool_call = MagicMock(spec=RequiredFunctionToolCall)
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mock_tool_call.id = "call_123"
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mock_tool_call.function.name = "get_weather"
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mock_tool_call.function.arguments = '{"location": "Seattle"}'
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mock_submit_action = MagicMock(spec=SubmitToolOutputsAction)
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mock_submit_action.submit_tool_outputs.tool_calls = [mock_tool_call]
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mock_event_data = MagicMock(spec=ThreadRun)
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mock_event_data.required_action = mock_submit_action
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result = chat_client._create_function_call_contents(mock_event_data, "response_123") # type: ignore
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assert len(result) == 1
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assert isinstance(result[0], FunctionCallContent)
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assert result[0].name == "get_weather"
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assert result[0].call_id == '["response_123", "call_123"]'
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def test_foundry_chat_client_create_function_call_contents_no_submit_action(mock_ai_project_client: MagicMock) -> None:
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"""Test _create_function_call_contents when required_action is not SubmitToolOutputsAction."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client)
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mock_event_data = MagicMock(spec=ThreadRun)
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mock_event_data.required_action = MagicMock()
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result = chat_client._create_function_call_contents(mock_event_data, "response_123") # type: ignore
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assert result == []
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def test_foundry_chat_client_create_function_call_contents_non_function_tool_call(
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mock_ai_project_client: MagicMock,
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) -> None:
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"""Test _create_function_call_contents with non-function tool call."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client)
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mock_tool_call = MagicMock()
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mock_submit_action = MagicMock(spec=SubmitToolOutputsAction)
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mock_submit_action.submit_tool_outputs.tool_calls = [mock_tool_call]
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mock_event_data = MagicMock(spec=ThreadRun)
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mock_event_data.required_action = mock_submit_action
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result = chat_client._create_function_call_contents(mock_event_data, "response_123") # type: ignore
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assert result == []
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def get_weather(
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location: Annotated[str, Field(description="The location to get the weather for.")],
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) -> str:
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Generated
+59
-57
@@ -921,20 +921,20 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "fastjsonschema"
|
||||
version = "2.21.1"
|
||||
version = "2.21.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/8b/50/4b769ce1ac4071a1ef6d86b1a3fb56cdc3a37615e8c5519e1af96cdac366/fastjsonschema-2.21.1.tar.gz", hash = "sha256:794d4f0a58f848961ba16af7b9c85a3e88cd360df008c59aac6fc5ae9323b5d4", size = 373939, upload-time = "2024-12-02T10:55:15.133Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/20/b5/23b216d9d985a956623b6bd12d4086b60f0059b27799f23016af04a74ea1/fastjsonschema-2.21.2.tar.gz", hash = "sha256:b1eb43748041c880796cd077f1a07c3d94e93ae84bba5ed36800a33554ae05de", size = 374130, upload-time = "2025-08-14T18:49:36.666Z" }
|
||||
wheels = [
|
||||
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{ url = "https://files.pythonhosted.org/packages/82/19/1e90e45fd84c4f5512dc9c8ad0ac3a4792677725047d3e7299f9dae41406/uv-0.8.11-py3-none-musllinux_1_1_i686.whl", hash = "sha256:0cd14f319e18a7b278238f0d87b18180282ec4d44d023f8b3ed2c8c091a14277", size = 18493945, upload-time = "2025-08-14T19:48:05.112Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/68/b8/e6b784ede573d3f1ba6fafe70dd317b4543146a6c2ca88a5f56923518552/uv-0.8.11-py3-none-musllinux_1_1_x86_64.whl", hash = "sha256:261d19395a211f980d1ebc861356cf73ba23ceece2392c0b36ade38f89fd16a6", size = 19398023, upload-time = "2025-08-14T19:48:07.993Z" },
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{ url = "https://files.pythonhosted.org/packages/65/5f/fd61ebec95bb5854c860d5268bc8ecbbca881465340f1e86302cacdd8234/uv-0.8.11-py3-none-win32.whl", hash = "sha256:0b922061f7b5915f224df23a849b6e1bfcace2e6b9fc0ee128868447873edb22", size = 18308608, upload-time = "2025-08-14T19:48:10.847Z" },
|
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{ url = "https://files.pythonhosted.org/packages/bb/57/84358ea67cee7ec029ed0d51e801a64c5929b7d647ae31cd5e5aea0c6f61/uv-0.8.11-py3-none-win_amd64.whl", hash = "sha256:fe01737f3ddd533903f31236219c29e09063541f17a060403acc51906ce0cfe8", size = 20214609, upload-time = "2025-08-14T19:48:13.368Z" },
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{ url = "https://files.pythonhosted.org/packages/e8/72/069a75703693d3297d95657957ea00d2f035896066f00a5692fbdce76d36/uv-0.8.11-py3-none-win_arm64.whl", hash = "sha256:cf3454d3407a5cac0d661b6033e3197643d0a6b5bb0e00869f6877ff7af907c9", size = 18878482, upload-time = "2025-08-14T19:48:15.743Z" },
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||||
]
|
||||
|
||||
[[package]]
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||||
@@ -3323,16 +3324,17 @@ wheels = [
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||||
|
||||
[[package]]
|
||||
name = "virtualenv"
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||||
version = "20.33.1"
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||||
version = "20.34.0"
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||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "distlib", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
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{ name = "filelock", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
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{ name = "platformdirs", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
|
||||
{ name = "typing-extensions", marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" },
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]
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sdist = { url = "https://files.pythonhosted.org/packages/8b/60/4f20960df6c7b363a18a55ab034c8f2bcd5d9770d1f94f9370ec104c1855/virtualenv-20.33.1.tar.gz", hash = "sha256:1b44478d9e261b3fb8baa5e74a0ca3bc0e05f21aa36167bf9cbf850e542765b8", size = 6082160, upload-time = "2025-08-05T16:10:55.605Z" }
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sdist = { url = "https://files.pythonhosted.org/packages/1c/14/37fcdba2808a6c615681cd216fecae00413c9dab44fb2e57805ecf3eaee3/virtualenv-20.34.0.tar.gz", hash = "sha256:44815b2c9dee7ed86e387b842a84f20b93f7f417f95886ca1996a72a4138eb1a", size = 6003808, upload-time = "2025-08-13T14:24:07.464Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/ca/ff/ded57ac5ff40a09e6e198550bab075d780941e0b0f83cbeabd087c59383a/virtualenv-20.33.1-py3-none-any.whl", hash = "sha256:07c19bc66c11acab6a5958b815cbcee30891cd1c2ccf53785a28651a0d8d8a67", size = 6060362, upload-time = "2025-08-05T16:10:52.81Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/76/06/04c8e804f813cf972e3262f3f8584c232de64f0cde9f703b46cf53a45090/virtualenv-20.34.0-py3-none-any.whl", hash = "sha256:341f5afa7eee943e4984a9207c025feedd768baff6753cd660c857ceb3e36026", size = 5983279, upload-time = "2025-08-13T14:24:05.111Z" },
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||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
Reference in New Issue
Block a user