Files
voiceagent/tests/test_deep_agent_stream.py
2026-11-05 16:22:23 -03:00

180 lines
6.5 KiB
Python

import asyncio
from contextlib import aclosing
from types import SimpleNamespace
import pytest
from voice_assistant.agent.deep_agent import DeepAgentsAdapter
def make_adapter(events, timeout=0.05):
adapter = object.__new__(DeepAgentsAdapter)
adapter._closed = False
adapter._stream_event_timeout = timeout
adapter._graph = SimpleNamespace(astream=lambda *args, **kwargs: events)
return adapter
def event(content, node="model", tool_calls=None):
return SimpleNamespace(content=content, tool_call_chunks=tool_calls or []), {"langgraph_node": node}
@pytest.mark.parametrize(
("content", "expected"),
[
("Olá ", ["Olá "]),
([{"type": "text", "text": "Olá "}, {"type": "text", "text": "Lara."}], ["Olá ", "Lara."]),
(["Olá", " ", {"type": "text", "text": "Lara."}], ["Olá", " ", "Lara."]),
([{"type": "reasoning", "text": "Interno"}, {"type": "image", "text": "Ignorar"}, {"type": "text", "text": "Resposta"}], ["Resposta"]),
([{"type": "text"}, {"type": "text", "text": None}, {"type": "text", "text": ""}], []),
],
)
def test_stream_extracts_only_text_blocks(content, expected):
async def scenario():
async def source():
yield event(content)
assert [part async for part in make_adapter(source()).stream("session", 1, "Olá")] == expected
asyncio.run(scenario())
def test_stream_filters_non_model_events_and_tool_calls():
async def scenario():
async def source():
yield event("Resultado interno", node="tools")
yield event("Chamada interna", tool_calls=[{"id": "call-1"}])
yield event("Resposta final")
assert [part async for part in make_adapter(source()).stream("session", 1, "Olá")] == ["Resposta final"]
asyncio.run(scenario())
@pytest.mark.parametrize("finish", ["normal", "early_close", "cancel", "error", "timeout"])
def test_stream_closes_owned_generator(finish):
async def scenario():
closed = asyncio.Event()
waiting = asyncio.Event()
async def source():
try:
yield event("Olá")
if finish == "error":
raise ValueError("provider failure")
if finish in ("cancel", "timeout"):
waiting.set()
await asyncio.Event().wait()
finally:
closed.set()
stream = make_adapter(source(), timeout=0.1).stream("session", 1, "Olá")
assert await anext(stream) == "Olá"
if finish == "normal":
with pytest.raises(StopAsyncIteration):
await anext(stream)
elif finish == "early_close":
await stream.aclose()
elif finish == "cancel":
task = asyncio.create_task(anext(stream))
await asyncio.wait_for(waiting.wait(), 1)
task.cancel()
with pytest.raises(asyncio.CancelledError):
await task
elif finish == "error":
with pytest.raises(ValueError, match="provider failure"):
await anext(stream)
else:
with pytest.raises(TimeoutError, match="next stream event"):
await anext(stream)
assert closed.is_set()
asyncio.run(scenario())
def test_timeout_does_not_cancel_consumer_between_fragments():
async def scenario():
async def source():
yield event("Primeiro ")
yield event("segundo")
async with aclosing(make_adapter(source(), timeout=0.01).stream("session", 1, "Olá")) as stream:
assert await anext(stream) == "Primeiro "
await asyncio.sleep(0.04)
assert await anext(stream) == "segundo"
asyncio.run(scenario())
def test_timeout_is_renewed_for_each_next_event():
async def scenario():
async def source():
for token in ("a", "b", "c", "d"):
await asyncio.sleep(0.02)
yield event(token)
adapter = make_adapter(source(), timeout=0.06)
assert "".join([part async for part in adapter.stream("session", 1, "Olá")]) == "abcd"
asyncio.run(scenario())
@pytest.mark.parametrize("timeout", [0, -1, float("inf"), float("nan"), True, "60", None])
def test_invalid_timeout_fails_before_model_construction(monkeypatch, timeout):
import voice_assistant.agent.deep_agent as module
def unexpected_model(**kwargs):
pytest.fail("Invalid configuration must not create a model")
monkeypatch.setattr(module, "ChatOCIGenAI", unexpected_model)
with pytest.raises(ValueError, match="finite and positive"):
DeepAgentsAdapter(
region="sa-vinhedo-1", compartment_id="test", model_id="test",
temperature=0.3, max_completion_tokens=256, timeout_seconds=timeout,
)
def test_adapter_streams_real_deepagents_graph_with_fake_model():
from deepagents import create_deep_agent
from langchain_core.language_models import FakeListChatModel
from langgraph.checkpoint.memory import MemorySaver
class Model(FakeListChatModel):
def bind_tools(self, tools, *, tool_choice=None, **kwargs):
return self
async def scenario():
adapter = object.__new__(DeepAgentsAdapter)
adapter._closed = False
adapter._stream_event_timeout = 2.0
adapter._graph = create_deep_agent(
model=Model(responses=["Olá Lara."]), tools=[], checkpointer=MemorySaver(),
)
response = await adapter.process("session", 1, "Diga olá")
assert response == "Olá Lara."
asyncio.run(scenario())
def test_process_rejects_empty_text_response_and_closes_stream():
async def scenario():
closed = asyncio.Event()
async def source():
try:
yield event([{"type": "reasoning", "text": "Interno"}])
finally:
closed.set()
with pytest.raises(RuntimeError, match="empty streaming response"):
await make_adapter(source()).process("session", 1, "Olá")
assert closed.is_set()
asyncio.run(scenario())
def test_process_propagates_provider_failure_and_closes_stream():
async def scenario():
closed = asyncio.Event()
async def source():
try:
yield event("Texto parcial")
raise ValueError("provider failure")
finally:
closed.set()
with pytest.raises(ValueError, match="provider failure"):
await make_adapter(source()).process("session", 1, "Olá")
assert closed.is_set()
asyncio.run(scenario())