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chore: import upstream snapshot with attribution
2026-07-13 13:39:25 +08:00

351 lines
11 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
"""Shared test fixtures and stubs for AG-UI tests."""
import sys
from collections.abc import AsyncIterable, AsyncIterator, Awaitable, Callable, Mapping, MutableSequence, Sequence
from pathlib import Path
from types import SimpleNamespace
from typing import Any, Generic, Literal, TypedDict, cast, overload # noqa: F401
import pytest
from agent_framework import (
AgentResponse,
AgentResponseUpdate,
AgentSession,
BaseChatClient,
ChatOptions,
ChatResponse,
ChatResponseUpdate,
Content,
Message,
ServiceSessionId,
SupportsAgentRun,
SupportsChatGetResponse,
)
from agent_framework._clients import OptionsCoT
from agent_framework._middleware import ChatMiddlewareLayer
from agent_framework._tools import FunctionInvocationLayer
from agent_framework._types import ResponseStream
from agent_framework.observability import ChatTelemetryLayer
if sys.version_info >= (3, 12):
from typing import override # type: ignore # pragma: no cover
else:
from typing_extensions import override # type: ignore[import] # pragma: no cover
StreamFn = Callable[..., AsyncIterable[ChatResponseUpdate]]
ResponseFn = Callable[..., Awaitable[ChatResponse]]
def pytest_configure() -> None:
"""Ensure this test directory is on sys.path so helper modules can be imported by name."""
test_dir = str(Path(__file__).resolve().parent)
if test_dir not in sys.path:
sys.path.insert(0, test_dir)
class StreamingChatClientStub(
FunctionInvocationLayer[OptionsCoT],
ChatMiddlewareLayer[OptionsCoT],
ChatTelemetryLayer[OptionsCoT],
BaseChatClient[OptionsCoT],
Generic[OptionsCoT],
):
"""Typed streaming stub that satisfies SupportsChatGetResponse."""
def __init__(self, stream_fn: StreamFn, response_fn: ResponseFn | None = None) -> None:
super().__init__(middleware=[])
self._stream_fn = stream_fn
self._response_fn = response_fn
self.last_session: AgentSession | None = None
self.last_service_session_id: str | ServiceSessionId | None = None
@overload
def get_response(
self,
messages: Sequence[Message],
*,
stream: Literal[False] = ...,
options: ChatOptions[Any],
**kwargs: Any,
) -> Awaitable[ChatResponse[Any]]: ...
@overload
def get_response(
self,
messages: Sequence[Message],
*,
stream: Literal[False] = ...,
options: OptionsCoT | ChatOptions[None] | None = ...,
**kwargs: Any,
) -> Awaitable[ChatResponse[Any]]: ...
@overload
def get_response(
self,
messages: Sequence[Message],
*,
stream: Literal[True],
options: OptionsCoT | ChatOptions[Any] | None = ...,
**kwargs: Any,
) -> ResponseStream[ChatResponseUpdate, ChatResponse[Any]]: ...
def get_response(
self,
messages: Sequence[Message],
*,
stream: bool = False,
options: OptionsCoT | ChatOptions[Any] | None = None,
**kwargs: Any,
) -> Awaitable[ChatResponse[Any]] | ResponseStream[ChatResponseUpdate, ChatResponse[Any]]:
client_kwargs = kwargs.get("client_kwargs")
if isinstance(client_kwargs, Mapping):
self.last_session = cast(AgentSession | None, client_kwargs.get("session"))
else:
self.last_session = None
self.last_service_session_id = self.last_session.service_session_id if self.last_session else None
if stream:
return super().get_response(
messages=messages,
stream=True,
options=options,
**kwargs,
)
return super().get_response(
messages=messages,
stream=False,
options=options,
**kwargs,
)
@override
def _inner_get_response(
self,
*,
messages: Sequence[Message],
stream: bool = False,
options: Mapping[str, Any],
**kwargs: Any,
) -> Awaitable[ChatResponse] | ResponseStream[ChatResponseUpdate, ChatResponse]:
if stream:
def _finalize(updates: Sequence[ChatResponseUpdate]) -> ChatResponse:
return ChatResponse.from_updates(updates)
return ResponseStream(self._stream_fn(messages, options, **kwargs), finalizer=_finalize)
return self._get_response_impl(messages, options, **kwargs)
async def _get_response_impl(
self, messages: Sequence[Message], options: Mapping[str, Any], **kwargs: Any
) -> ChatResponse:
"""Non-streaming implementation."""
if self._response_fn is not None:
return await self._response_fn(messages, options, **kwargs)
contents: list[Any] = []
async for update in self._stream_fn(list(messages), dict(options), **kwargs):
contents.extend(update.contents)
return ChatResponse(
messages=[Message(role="assistant", contents=contents)],
response_id="stub-response",
)
def stream_from_updates(updates: list[ChatResponseUpdate]) -> StreamFn:
"""Create a stream function that yields from a static list of updates."""
async def _stream(
messages: MutableSequence[Message], options: dict[str, Any], **kwargs: Any
) -> AsyncIterator[ChatResponseUpdate]:
for update in updates:
yield update
return _stream
class StubAgent(SupportsAgentRun):
"""Minimal SupportsAgentRun stub for orchestrator tests."""
def __init__(
self,
updates: list[AgentResponseUpdate] | None = None,
*,
agent_id: str = "stub-agent",
agent_name: str | None = "stub-agent",
default_options: Any | None = None,
client: Any | None = None,
) -> None:
self.id = agent_id
self.name = agent_name
self.description = "stub agent"
self.updates = updates or [AgentResponseUpdate(contents=[Content.from_text(text="response")], role="assistant")]
self.default_options: dict[str, Any] = (
default_options if isinstance(default_options, dict) else {"tools": None, "response_format": None}
)
self.client = client or SimpleNamespace(function_invocation_configuration=None)
self.messages_received: list[Any] = []
self.tools_received: list[Any] | None = None
self.last_session: AgentSession | None = None
@overload
def run(
self,
messages: str | Content | Message | Sequence[str | Content | Message] | None = None,
*,
stream: Literal[False] = ...,
session: AgentSession | None = None,
**kwargs: Any,
) -> Awaitable[AgentResponse[Any]]: ...
@overload
def run(
self,
messages: str | Content | Message | Sequence[str | Content | Message] | None = None,
*,
stream: Literal[True],
session: AgentSession | None = None,
**kwargs: Any,
) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ...
def run(
self,
messages: str | Content | Message | Sequence[str | Content | Message] | None = None,
*,
stream: bool = False,
session: AgentSession | None = None,
**kwargs: Any,
) -> Awaitable[AgentResponse[Any]] | ResponseStream[AgentResponseUpdate, AgentResponse[Any]]:
if stream:
async def _stream() -> AsyncIterator[AgentResponseUpdate]:
if messages is None:
self.messages_received = []
elif isinstance(messages, (str, Content, Message)):
self.messages_received = [messages]
else:
self.messages_received = list(messages)
self.last_session = session
self.tools_received = kwargs.get("tools")
for update in self.updates:
yield update
def _finalize(updates: Sequence[AgentResponseUpdate]) -> AgentResponse:
return AgentResponse.from_updates(updates)
return ResponseStream(_stream(), finalizer=_finalize)
async def _get_response() -> AgentResponse[Any]:
return AgentResponse(messages=[], response_id="stub-response")
return _get_response()
def create_session(self, **kwargs: Any) -> AgentSession:
return AgentSession(session_id=kwargs.get("session_id"))
def get_session(self, service_session_id: str | ServiceSessionId, *, session_id: str | None = None) -> AgentSession:
return AgentSession(session_id=session_id, service_session_id=service_session_id)
# Fixtures
@pytest.fixture
def streaming_chat_client_stub() -> type[SupportsChatGetResponse]:
"""Return the StreamingChatClientStub class for creating test instances."""
return StreamingChatClientStub # type: ignore[return-value]
@pytest.fixture
def stream_from_updates_fixture() -> Callable[[list[ChatResponseUpdate]], StreamFn]:
"""Return the stream_from_updates helper function."""
return stream_from_updates
@pytest.fixture
def stub_agent() -> type[SupportsAgentRun]:
"""Return the StubAgent class for creating test instances."""
return StubAgent # type: ignore[return-value]
# ── Fixtures for golden / integration tests ──
@pytest.fixture
def collect_events() -> Callable[..., Any]:
"""Return an async helper that collects all events from an async generator."""
async def _collect(async_gen: AsyncIterable[Any]) -> list[Any]:
return [event async for event in async_gen]
return _collect
@pytest.fixture
def make_agent_wrapper() -> Callable[..., Any]:
"""Factory that builds an AgentFrameworkAgent from a stream function.
Usage::
agent = make_agent_wrapper(
stream_fn=stream_from_updates(updates),
state_schema=...,
)
events = [e async for e in agent.run(payload)]
"""
from agent_framework_ag_ui import AgentFrameworkAgent
def _factory(
stream_fn: StreamFn,
*,
state_schema: Any | None = None,
predict_state_config: dict[str, dict[str, str]] | None = None,
require_confirmation: bool = True,
) -> Any:
client = StreamingChatClientStub(stream_fn)
stub = StubAgent(client=client)
return AgentFrameworkAgent(
agent=stub,
state_schema=state_schema,
predict_state_config=predict_state_config,
require_confirmation=require_confirmation,
)
return _factory
@pytest.fixture
def make_app() -> Callable[..., Any]:
"""Factory that builds a FastAPI app with an AG-UI endpoint.
Usage::
app = make_app(agent_or_wrapper, path="/test")
"""
from fastapi import FastAPI
from agent_framework_ag_ui import add_agent_framework_fastapi_endpoint
def _factory(
agent: Any,
*,
path: str = "/",
state_schema: Any | None = None,
predict_state_config: dict[str, dict[str, str]] | None = None,
default_state: dict[str, Any] | None = None,
) -> FastAPI:
app = FastAPI()
add_agent_framework_fastapi_endpoint(
app,
agent,
path=path,
state_schema=state_schema,
predict_state_config=predict_state_config,
default_state=default_state,
)
return app
return _factory