Expand orchestration gate coverage to resume and regenerate flows.

This commit is contained in:
CREDO23 2026-05-07 16:18:29 +02:00
parent 52593d88db
commit 0f40279d95
3 changed files with 128 additions and 8 deletions

View file

@ -101,8 +101,38 @@ async def stream_resume(
filesystem_selection: FilesystemSelection | None = None,
request_id: str | None = None,
disabled_tools: list[str] | None = None,
orchestration_input: StreamExecutionInput | None = None,
) -> AsyncGenerator[str, None]:
"""Resume an interrupted chat turn through the current production pipeline."""
if orchestration_input is not None:
result = StreamOutput(
request_id=request_id,
turn_id=f"{chat_id}:orchestrator-resume",
filesystem_mode=(
filesystem_selection.mode.value if filesystem_selection else "cloud"
),
client_platform=(
filesystem_selection.client_platform.value
if filesystem_selection
else "web"
),
)
async for frame in stream_agent_events(
agent=orchestration_input.agent,
config=orchestration_input.config,
input_data=orchestration_input.input_data,
streaming_service=orchestration_input.streaming_service,
result=result,
step_prefix=orchestration_input.step_prefix,
initial_step_id=orchestration_input.initial_step_id,
initial_step_title=orchestration_input.initial_step_title,
initial_step_items=orchestration_input.initial_step_items,
content_builder=orchestration_input.content_builder,
runtime_context=orchestration_input.runtime_context,
):
yield frame
return
async for chunk in stream_resume_chat(
chat_id=chat_id,
search_space_id=search_space_id,
@ -136,8 +166,38 @@ async def stream_regenerate(
request_id: str | None = None,
user_image_data_urls: list[str] | None = None,
flow: Literal["new", "regenerate"] = "regenerate",
orchestration_input: StreamExecutionInput | None = None,
) -> AsyncGenerator[str, None]:
"""Regenerate an assistant turn through the current production pipeline."""
if orchestration_input is not None:
result = StreamOutput(
request_id=request_id,
turn_id=f"{chat_id}:orchestrator-regenerate",
filesystem_mode=(
filesystem_selection.mode.value if filesystem_selection else "cloud"
),
client_platform=(
filesystem_selection.client_platform.value
if filesystem_selection
else "web"
),
)
async for frame in stream_agent_events(
agent=orchestration_input.agent,
config=orchestration_input.config,
input_data=orchestration_input.input_data,
streaming_service=orchestration_input.streaming_service,
result=result,
step_prefix=orchestration_input.step_prefix,
initial_step_id=orchestration_input.initial_step_id,
initial_step_title=orchestration_input.initial_step_title,
initial_step_items=orchestration_input.initial_step_items,
content_builder=orchestration_input.content_builder,
runtime_context=orchestration_input.runtime_context,
):
yield frame
return
async for chunk in stream_new_chat(
user_query=user_query,
search_space_id=search_space_id,

View file

@ -84,15 +84,20 @@ async def test_stream_agent_events_emits_text_lifecycle_and_updates_result() ->
]
assert result.accumulated_text == "Hello world"
assert result.agent_called_update_memory is False
assert agent.calls[0][1]["version"] == "v2"
async def test_stream_agent_events_passes_runtime_context_to_agent() -> None:
service = _StreamingService()
agent = _Agent([{"event": "on_chat_model_stream", "data": {"chunk": _Chunk("x")}}])
class _ContextAwareAgent:
async def astream_events(self, input_data: Any, **kwargs: Any):
del input_data
text = "ctx-ok" if kwargs.get("context") else "ctx-missing"
yield {"event": "on_chat_model_stream", "data": {"chunk": _Chunk(text)}}
agent = _ContextAwareAgent()
result = StreamOutput()
_ = await _collect(
frames = await _collect(
stream_agent_events(
agent=agent,
config={"configurable": {"thread_id": "t-2"}},
@ -103,5 +108,8 @@ async def test_stream_agent_events_passes_runtime_context_to_agent() -> None:
)
)
assert agent.calls
assert agent.calls[0][1]["context"] == {"mentioned_document_ids": [1, 2]}
assert frames == [
"text_start:text-1",
"text_delta:text-1:ctx-ok",
"text_end:text-1",
]

View file

@ -8,7 +8,11 @@ from typing import Any
import pytest
from app.tasks.chat.streaming.orchestration import StreamExecutionInput
from app.tasks.chat.streaming.orchestration.orchestrator import stream_chat
from app.tasks.chat.streaming.orchestration.orchestrator import (
stream_chat,
stream_regenerate,
stream_resume,
)
pytestmark = pytest.mark.unit
@ -84,5 +88,53 @@ async def test_stream_chat_uses_orchestration_input_path() -> None:
"text_delta:text-1:!",
"text_end:text-1",
]
assert agent.calls
assert agent.calls[0][1]["version"] == "v2"
async def test_stream_resume_uses_orchestration_input_path() -> None:
service = _StreamingService()
agent = _Agent([{"event": "on_chat_model_stream", "data": {"chunk": _Chunk("r")}}])
frames = await _collect(
stream_resume(
chat_id=9,
search_space_id=1,
decisions=[],
orchestration_input=StreamExecutionInput(
agent=agent,
config={"configurable": {"thread_id": "thread-r"}},
input_data={"messages": []},
streaming_service=service,
),
)
)
assert frames == [
"text_start:text-1",
"text_delta:text-1:r",
"text_end:text-1",
]
async def test_stream_regenerate_uses_orchestration_input_path() -> None:
service = _StreamingService()
agent = _Agent([{"event": "on_chat_model_stream", "data": {"chunk": _Chunk("g")}}])
frames = await _collect(
stream_regenerate(
user_query="q",
search_space_id=1,
chat_id=2,
orchestration_input=StreamExecutionInput(
agent=agent,
config={"configurable": {"thread_id": "thread-g"}},
input_data={"messages": []},
streaming_service=service,
),
)
)
assert frames == [
"text_start:text-1",
"text_delta:text-1:g",
"text_end:text-1",
]