test(contextual): remove floating-specific tests

Replaced by tests/test_contextual_*.py in M3.
No dedicated test_floating_*.py files existed; floating test
functions were embedded in test_deep_agent.py and test_ws_unified.py
and have been removed from those files.
This commit is contained in:
Roberto
2026-05-15 18:53:08 +02:00
parent 052c7e3741
commit 886730b47e
2 changed files with 2 additions and 221 deletions

View File

@@ -12,11 +12,8 @@ from langchain_core.messages import AIMessage, ToolMessage
from app.core.deep_agent import (
_build_system_prompt,
_datetime_context_injection,
_infer_floating_domain,
_normalize_tagged_list_lines,
_request_context_block,
run_floating,
run_floating_stream,
run_home,
)
@@ -75,57 +72,6 @@ async def test_run_home_uses_mocked_tool_result():
assert "Mock Task" in out
@pytest.mark.asyncio
async def test_run_floating_stream_emits_domain_then_tokens_with_mocked_tool_result():
fake_llm = _FakeLLM()
with patch("app.core.deep_agent.get_agent_llm", return_value=fake_llm), patch(
"app.core.deep_agent._all_tools", return_value=[_FakeTool()]
):
events = []
async for event in run_floating_stream(
"user-1",
"show me timeline updates",
{"scope": {"type": "timeline", "id": "tl-1"}},
):
events.append(event)
assert events[0] == (
"floating_domain",
{"type": "timeline", "id": "tl-1", "section": None},
)
# _run_single_agent_stream uses ainvoke (not astream); the final token is
# the second LLM response which echoes the tool result.
token_events = [e for e in events if e[0] == "token"]
assert token_events, "Expected at least one token event"
combined = "".join(str(e[1]) for e in token_events)
assert "Mock Task" in combined
@pytest.mark.asyncio
async def test_infer_floating_domain_prefers_message_intent_over_scope_type():
class _ClassifierOnlyLLM:
async def ainvoke(self, _messages):
return AIMessage(
content='{"type":"project","id":"213213-312321-312312-421321","section":"task"}'
)
with patch("app.core.deep_agent.get_agent_llm", return_value=_ClassifierOnlyLLM()):
domain = await _infer_floating_domain(
"Quali sono i miei task per il progetto X",
{
"scope": {"type": "timeline"},
"resolved_project_id": "213213-312321-312312-421321",
},
)
assert domain == {
"type": "project",
"id": "213213-312321-312312-421321",
"section": "task",
}
def test_normalize_tagged_list_lines_rewrites_mixed_task_lines_to_tag_only_lines():
raw = (
"Certo!\n\n"
@@ -162,139 +108,6 @@ def test_normalize_tagged_list_lines_filters_upcoming_timeline_query_to_current_
assert "<timeline>[tl-future]</timeline>" not in out
@pytest.mark.asyncio
async def test_run_floating_strips_xml_like_tags_from_final_text():
fake_llm = _FakeLLM()
async def _fake_run_single_agent(**_kwargs):
return (
"Hai 1 task:\\n"
"Mail barra in prod <task>[180faff3-507d-4d88-aba8-66f204eb59ef]</task>"
)
with patch("app.core.deep_agent.get_agent_llm", return_value=fake_llm), patch(
"app.core.deep_agent._run_single_agent", side_effect=_fake_run_single_agent
):
text, _domain = await run_floating(
"user-1",
"quali task ho?",
{"scope": {"type": "task"}},
)
assert "<task>" not in text
assert "</task>" not in text
assert "[180faff3-507d-4d88-aba8-66f204eb59ef]" not in text
@pytest.mark.asyncio
async def test_run_floating_stream_strips_xml_like_tags_from_streamed_text():
fake_llm = _FakeLLM()
async def _fake_stream(**_kwargs):
yield "token", "Hai 1 task:\\n"
yield "token", "Mail barra in prod <task>[180faff3-507d-4d88-aba8-66f204eb59ef]</task>"
with patch("app.core.deep_agent.get_agent_llm", return_value=fake_llm), patch(
"app.core.deep_agent._run_single_agent_stream", side_effect=_fake_stream
):
events = []
async for event in run_floating_stream(
"user-1",
"quali task ho?",
{"scope": {"type": "task"}},
):
events.append(event)
token_events = [str(data) for event_type, data in events if event_type == "token"]
combined = "".join(token_events)
assert "<task>" not in combined
assert "</task>" not in combined
assert "[180faff3-507d-4d88-aba8-66f204eb59ef]" not in combined
@pytest.mark.asyncio
async def test_run_floating_stream_falls_back_to_final_response_content_when_astream_is_empty():
class _NoChunkLLM:
def __init__(self) -> None:
self.calls = 0
def bind_tools(self, _tools):
return self
async def ainvoke(self, _messages):
self.calls += 1
if self.calls == 1:
return AIMessage(
content="",
tool_calls=[
{
"id": "call-1",
"name": "list_tasks",
"args": {},
}
],
)
return AIMessage(content="No notes found.")
async def astream(self, _messages):
if False:
yield None
with patch("app.core.deep_agent.get_agent_llm", return_value=_NoChunkLLM()), patch(
"app.core.deep_agent._all_tools", return_value=[_FakeTool()]
):
events = []
async for event in run_floating_stream(
"user-1",
"quali sono le note?",
{"scope": {"type": "note"}},
):
events.append(event)
assert events[0][0] == "floating_domain"
assert ("token", "No notes found.") in events
@pytest.mark.asyncio
async def test_run_floating_returns_fallback_when_sanitization_would_empty_text():
fake_llm = _FakeLLM()
async def _fake_run_single_agent(**_kwargs):
return "<task>[180faff3-507d-4d88-aba8-66f204eb59ef]</task>"
with patch("app.core.deep_agent.get_agent_llm", return_value=fake_llm), patch(
"app.core.deep_agent._run_single_agent", side_effect=_fake_run_single_agent
):
text, _domain = await run_floating(
"user-1",
"quali task ho?",
{"scope": {"type": "task"}},
)
assert text == "No results found."
@pytest.mark.asyncio
async def test_run_floating_stream_returns_fallback_when_sanitization_would_empty_text():
fake_llm = _FakeLLM()
async def _fake_stream(**_kwargs):
yield "token", "<task>[180faff3-507d-4d88-aba8-66f204eb59ef]</task>"
with patch("app.core.deep_agent.get_agent_llm", return_value=fake_llm), patch(
"app.core.deep_agent._run_single_agent_stream", side_effect=_fake_stream
):
events = []
async for event in run_floating_stream(
"user-1",
"quali task ho?",
{"scope": {"type": "task"}},
):
events.append(event)
assert ("token", "No results found.") in events
# ── _datetime_context_injection ────────────────────────────────────────────────
def _fp(tz: str, now_iso: str) -> dict:

View File

@@ -1,6 +1,6 @@
"""Integration tests for the unified WebSocket handler (Step 5).
Tests the device WS endpoint with home_request and floating_request frames,
Tests the device WS endpoint with home_request frames,
verifying that the correct v3 frame sequence is returned.
LLM calls are mocked to avoid network dependency.
@@ -34,7 +34,7 @@ def _override_db(db_session):
def _recv_until_end(ws, max_frames: int = 20) -> list[dict]:
"""Receive frames until stream_end (or stream_end inside floating flow), or max_frames."""
"""Receive frames until stream_end or max_frames."""
frames = []
for _ in range(max_frames):
raw = ws.receive_text()
@@ -49,11 +49,6 @@ async def _mock_home_stream(user_id, message, context):
yield "token", "Hello"
async def _mock_floating_stream(user_id, message, context):
yield "floating_domain", {"type": "task", "id": None, "section": None}
yield "token", "Here is a summary"
# ── tests ─────────────────────────────────────────────────────────────────────
def test_home_request_produces_stream_frames(client):
@@ -79,33 +74,6 @@ def test_home_request_produces_stream_frames(client):
assert types.index(WsFrameType.stream_start) < types.index(WsFrameType.stream_end)
def test_floating_request_produces_domain_frame(client):
"""floating_request → floating_domain first, then stream_text*, stream_end."""
token = make_jwt("power", user_id=USER_ID)
with patch("app.api.routes.device_ws.run_floating_stream", side_effect=_mock_floating_stream):
with client.websocket_connect(f"/api/v1/ws/device?token={token}") as ws:
ws.send_text(json.dumps({
"type": "device_hello", "device_id": "dev-2", "agent_ids": []
}))
ws.send_text(json.dumps({
"type": "floating_request",
"request_id": "p1",
"message": "Summarize this task",
"scope": {"type": "task", "id": "task-123"},
}))
frames = _recv_until_end(ws)
types = [f["type"] for f in frames]
assert WsFrameType.floating_domain in types
assert WsFrameType.stream_end in types
assert types.index(WsFrameType.floating_domain) < types.index(WsFrameType.stream_end)
domain_frame = next(f for f in frames if f["type"] == WsFrameType.floating_domain)
assert domain_frame["domain"]["type"] == "task"
assert domain_frame["request_id"] == "p1"
def test_home_request_request_id_propagated(client):
"""request_id in home_request is echoed in all response frames."""
token = make_jwt("power", user_id=USER_ID)