Files
EvoScientist-Multi/tests/stream_v3_fakes.py
T
jfilipiuk 3cda9894c7 feat: agent-teams part C - expert selection UX (depends on part B) (#371)
* feat: bias main-agent delegation toward configurable.active_teams

* feat: add /experts and /expert TUI commands for expert-skill summoning

* feat: align expert-selection wording with WebUI (invite/dismiss)

* chore: clear active_teams on /new, cleanup active_team.py comment

* fix: use local append_to_system_message in ActiveTeamMiddleware

* fix: prevent configurable_extra from overriding thread_id

* fix: cache expert-skill lookup for /expert completions

* fix: suppress /expert completions past first arg and on exact match

* fix: invalidate /expert completion cache on skill install/uninstall

* fix: refuse /expert invites for non-dispatchable expert skills

* fix: fire /expert cache invalidation on every install_skill / uninstall_skill path

* fix: propagate active_teams to Rich CLI and serve dispatch surfaces

* fix: keep invited experts across channel shutdown

* fix: match /expert completions case-insensitively
2026-08-07 17:07:01 +01:00

296 lines
7.4 KiB
Python

"""Shared DeepAgents v3 protocol fakes for stream tests."""
from __future__ import annotations
import asyncio
from collections.abc import AsyncIterator, Iterable
from dataclasses import dataclass, field
from typing import Any
from unittest.mock import MagicMock
from EvoScientist.stream.events import stream_agent_events
async def async_iter(items: Iterable[Any]) -> AsyncIterator[Any]:
for item in items:
yield item
async def collect_events(
agent,
message: str = "hi",
thread_id: str = "t1",
*,
events=None,
configurable_extra: dict[str, Any] | None = None,
):
"""Collect stream_agent_events output for tests.
``events`` is the frontend tool-selection sink to drive suppression /
selection rendering (defaults to the silent NoOpSink inside the stream).
``configurable_extra`` is forwarded verbatim to ``stream_agent_events``
for tests that assert plumbing into the LangGraph ``configurable`` dict.
"""
collected = []
async for ev in stream_agent_events(
agent,
message,
thread_id,
events=events,
configurable_extra=configurable_extra,
):
collected.append(ev)
return collected
def protocol_event(
method: str,
data,
namespace: Iterable[Any] = (),
**params,
) -> dict[str, Any]:
"""Build a minimal DeepAgents v3 protocol event."""
return {
"type": "event",
"method": method,
"params": {
"namespace": list(namespace),
"timestamp": 0,
"data": data,
**params,
},
}
def message_delta(
text: str,
metadata: dict[str, Any] | None = None,
namespace: Iterable[Any] = (),
) -> dict[str, Any]:
return protocol_event(
"messages",
(
{
"event": "content-block-delta",
"index": 0,
"delta": {"type": "text-delta", "text": text},
},
metadata or {},
),
namespace,
)
def message_finish(
usage: dict[str, int] | None = None,
metadata: dict[str, Any] | None = None,
namespace: Iterable[Any] = (),
) -> dict[str, Any]:
payload: dict[str, Any] = {"event": "message-finish"}
if usage is not None:
payload["usage"] = usage
return protocol_event("messages", (payload, metadata or {}), namespace)
def message_tool_call_block(
name: str,
args: dict[str, Any] | None = None,
*,
tool_call_id: str = "tc1",
namespace: Iterable[Any] = (),
) -> dict[str, Any]:
return protocol_event(
"messages",
(
{
"event": "content-block-finish",
"content": {
"type": "tool_call",
"id": tool_call_id,
"name": name,
"args": args or {},
},
},
{},
),
namespace,
)
def custom_subagent_event(
payload: dict[str, Any],
namespace: Iterable[Any] = (),
) -> dict[str, Any]:
"""Build a ``custom``-method v3 event carrying a subagent-lifecycle payload.
Mirrors the shape ``langchain_quickjs._subagent`` emits via
``stream_writer(event)`` for in-eval ``task()`` fan-out.
"""
return protocol_event("custom", payload, namespace)
def tool_started(
name: str,
args: dict[str, Any] | None = None,
*,
tool_call_id: str = "tc1",
namespace: Iterable[Any] = (),
) -> dict[str, Any]:
return protocol_event(
"tools",
{
"event": "tool-started",
"tool_name": name,
"input": args or {},
"tool_call_id": tool_call_id,
},
namespace,
)
def tool_finished(
output,
*,
tool_call_id: str = "tc1",
namespace: Iterable[Any] = (),
) -> dict[str, Any]:
return protocol_event(
"tools",
{
"event": "tool-finished",
"output": output,
"tool_call_id": tool_call_id,
},
namespace,
)
@dataclass
class FakeStateSnapshot:
values: dict[str, Any] = field(default_factory=dict)
class FakeV3Run:
def __init__(self, events: Iterable[Any], subagents: Iterable[Any] | None = None):
self._events = list(events)
self.subagents = async_iter(list(subagents or []))
self.aborted = False
def __aiter__(self):
return async_iter(self._events)
async def abort(self) -> None:
self.aborted = True
class FakeV3Agent:
def __init__(
self,
events: Iterable[Any],
*,
state_values: dict[str, Any] | None = None,
subagents: Iterable[Any] | None = None,
):
self._run = FakeV3Run(events, subagents=subagents)
self.astream_events = MagicMock(return_value=self._run)
self._state_values = state_values if state_values is not None else {}
async def aget_state(self, _config):
return FakeStateSnapshot(values=self._state_values)
class ErroringV3Agent:
def __init__(self, exc: Exception):
self.exc = exc
def astream_events(self, *_args, **_kwargs):
raise self.exc
async def aget_state(self, _config):
return FakeStateSnapshot()
class HangingV3Run:
def __init__(self, events: Iterable[Any]):
self._events = list(events)
self.subagents = async_iter([])
self.aborted = False
async def abort(self) -> None:
self.aborted = True
def __aiter__(self):
return self._iter_events()
async def _iter_events(self):
for event in self._events:
yield event
await asyncio.Event().wait()
class HangingV3Agent:
def __init__(self, events: Iterable[Any]):
self._run = HangingV3Run(events)
self.astream_events = MagicMock(return_value=self._run)
@property
def aborted(self) -> bool:
return self._run.aborted
async def aget_state(self, _config):
return FakeStateSnapshot()
class LazySubagentChannel:
"""Projection fake that only queues handles after subscription."""
def __init__(self, subagents: Iterable[Any]):
self._subagents = list(subagents)
self.subscribed = False
def __aiter__(self):
self.subscribed = True
return async_iter(self._subagents)
def drop_if_unsubscribed(self) -> None:
if not self.subscribed:
self._subagents = []
class SubscriptionSensitiveV3Run:
def __init__(self, events: Iterable[Any], subagents: Iterable[Any]):
self._events = list(events)
self.subagents = LazySubagentChannel(subagents)
def __aiter__(self):
self.subagents.drop_if_unsubscribed()
return async_iter(self._events)
class SubscriptionSensitiveV3Agent:
def __init__(self, events: Iterable[Any], subagents: Iterable[Any]):
self._run = SubscriptionSensitiveV3Run(events, subagents)
self.astream_events = MagicMock(return_value=self._run)
async def aget_state(self, _config):
return FakeStateSnapshot()
@dataclass
class FakeSubagent:
path: Iterable[Any]
name: str = "research-agent"
tool_call_id: str = ""
def __post_init__(self):
self.path = tuple(self.path)
if not self.tool_call_id:
self.tool_call_id = "call_" + "_".join(str(p) for p in self.path)
@property
def cause(self) -> dict[str, str]:
return {"type": "toolCall", "tool_call_id": self.tool_call_id}
async def output(self):
return {"messages": []}