mirror of
https://github.com/Sea-Haven-Industries/open-swe.git
synced 2026-09-30 06:53:14 +00:00
fix: prioritize web replies after Slack handoff (#1406)
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parent
2070a770c2
commit
5e9dcdb21d
6 changed files with 242 additions and 8 deletions
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@ -377,14 +377,17 @@ async def send_dashboard_message(
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prompt = body.content.strip()
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now_ms = _now_ms()
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chosen_model, chosen_effort = _normalize_model_choice(body.model_id, body.effort)
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metadata_update: dict[str, Any] = {"updated_at_ms": now_ms}
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metadata_update: dict[str, Any] = {"source": _DASHBOARD_SOURCE, "updated_at_ms": now_ms}
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if chosen_model and chosen_effort:
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metadata_update["model"] = chosen_model
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metadata_update["effort"] = chosen_effort
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await client.threads.update(thread_id=thread_id, metadata=metadata_update)
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if await is_thread_active(thread_id):
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queued = await queue_message_for_thread(thread_id, prompt)
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queued = await queue_message_for_thread(
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thread_id,
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{"text": prompt, "source": _DASHBOARD_SOURCE},
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)
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if not queued:
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raise HTTPException(502, "failed to queue follow-up message")
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thread = await client.threads.get(thread_id)
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@ -394,19 +397,14 @@ async def send_dashboard_message(
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await _ensure_dashboard_github_token(login)
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profile = await get_profile(login) or {}
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thread_source = _thread_source(metadata)
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configurable: dict[str, Any] = {
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"thread_id": thread_id,
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"source": thread_source,
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"source": _DASHBOARD_SOURCE,
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"github_login": login,
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"user_email": await _resolve_run_email(login, profile),
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}
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if owner and name:
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configurable["repo"] = {"owner": owner, "name": name}
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source_context = metadata.get("source_context")
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if isinstance(source_context, dict):
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for key, value in source_context.items():
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configurable.setdefault(key, value)
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if chosen_model and chosen_effort:
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configurable["agent_model_id"] = chosen_model
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configurable["agent_effort"] = chosen_effort
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@ -19,6 +19,14 @@ from ..utils.multimodal import fetch_image_block
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logger = logging.getLogger(__name__)
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DASHBOARD_HANDOFF_MARKER = "[Open SWE Web handoff]"
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DASHBOARD_HANDOFF_INSTRUCTION = (
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f"{DASHBOARD_HANDOFF_MARKER} This follow-up was sent from Web. "
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"The conversation has moved to Web, so answer in the dashboard stream with a normal "
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"assistant message. Do not call slack_thread_reply unless a later Slack message explicitly "
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"moves the conversation back to Slack."
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)
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class LinearNotifyState(AgentState):
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"""Extended agent state for tracking Linear notifications."""
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@ -45,6 +53,10 @@ async def _build_blocks_from_payload(
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return blocks
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def _is_dashboard_queued_message(content: object) -> bool:
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return isinstance(content, dict) and content.get("source") == "dashboard"
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@before_model(state_schema=LinearNotifyState)
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async def check_message_queue_before_model( # noqa: PLR0911
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state: LinearNotifyState, # noqa: ARG001
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@ -105,6 +117,8 @@ async def check_message_queue_before_model( # noqa: PLR0911
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content_blocks: list[dict[str, Any]] = []
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for msg in queued_messages:
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content = msg.get("content")
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if _is_dashboard_queued_message(content):
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content_blocks.append({"type": "text", "text": DASHBOARD_HANDOFF_INSTRUCTION})
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if isinstance(content, dict) and ("text" in content or "image_urls" in content):
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logger.debug("Queued message contains text + image URLs")
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blocks = await _build_blocks_from_payload(content)
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@ -6,6 +6,8 @@ from langchain_core.messages import AnyMessage, ToolMessage
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from langgraph.config import get_config
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from langgraph.runtime import Runtime
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from .check_message_queue import DASHBOARD_HANDOFF_MARKER
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_DASHBOARD_SOURCE = "dashboard"
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@ -43,6 +45,24 @@ def check_if_no_op(messages: list[AnyMessage]) -> bool:
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return False
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def _content_contains_text(content: object, text: str) -> bool:
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if isinstance(content, str):
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return text in content
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if not isinstance(content, list):
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return False
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for block in content:
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if isinstance(block, dict) and text in str(block.get("text", "")):
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return True
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return False
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def _last_human_is_dashboard_handoff(state: AgentState) -> bool:
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for msg in reversed(state["messages"]):
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if msg.type == "human":
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return _content_contains_text(msg.content, DASHBOARD_HANDOFF_MARKER)
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return False
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def _is_dashboard_source() -> bool:
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try:
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config = get_config()
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@ -85,6 +105,7 @@ def ensure_no_empty_msg(state: AgentState, runtime: Runtime) -> dict[str, Any] |
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check_if_model_messaged_user(messages_since_last_human)
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or check_if_confirming_completion(messages_since_last_human)
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or _is_dashboard_source()
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or _last_human_is_dashboard_handoff(state)
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):
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return None
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55
tests/test_check_message_queue.py
Normal file
55
tests/test_check_message_queue.py
Normal file
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@ -0,0 +1,55 @@
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from __future__ import annotations
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from typing import Any
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from unittest.mock import MagicMock, patch
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import pytest
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from agent.middleware.check_message_queue import (
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DASHBOARD_HANDOFF_MARKER,
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check_message_queue_before_model,
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)
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class _QueuedItem:
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def __init__(self, value: dict[str, Any]) -> None:
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self.value = value
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class _FakeStore:
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def __init__(self, value: dict[str, Any]) -> None:
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self.value = value
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self.deleted: list[tuple[tuple[str, ...], str]] = []
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async def aget(self, namespace: tuple[str, ...], key: str) -> _QueuedItem:
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return _QueuedItem(self.value)
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async def adelete(self, namespace: tuple[str, ...], key: str) -> None:
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self.deleted.append((namespace, key))
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@pytest.mark.asyncio
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async def test_check_message_queue_injects_dashboard_handoff_instruction() -> None:
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store = _FakeStore(
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{
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"messages": [
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{"content": {"text": "continue in web", "source": "dashboard"}},
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]
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}
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)
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with (
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patch(
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"agent.middleware.check_message_queue.get_config",
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return_value={"configurable": {"thread_id": "thread-1"}},
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),
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patch("agent.middleware.check_message_queue.get_store", return_value=store),
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):
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result = await check_message_queue_before_model.abefore_model({}, MagicMock())
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assert result is not None
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message = result["messages"][0]
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assert message["role"] == "user"
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assert DASHBOARD_HANDOFF_MARKER in message["content"][0]["text"]
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assert message["content"][1] == {"type": "text", "text": "continue in web"}
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assert store.deleted == [(("queue", "thread-1"), "pending_messages")]
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122
tests/test_dashboard_web_handoff.py
Normal file
122
tests/test_dashboard_web_handoff.py
Normal file
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@ -0,0 +1,122 @@
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from __future__ import annotations
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from typing import Any
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import pytest
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from agent.dashboard import thread_api
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class _FakeThreads:
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def __init__(self, metadata: dict[str, Any]) -> None:
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self.metadata = metadata
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self.updates: list[dict[str, Any]] = []
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async def get(self, thread_id: str) -> dict[str, Any]:
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return {"thread_id": thread_id, "metadata": self.metadata}
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async def update(self, *, thread_id: str, metadata: dict[str, Any]) -> None:
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self.updates.append(metadata)
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self.metadata.update(metadata)
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class _FakeRuns:
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def __init__(self) -> None:
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self.created: list[dict[str, Any]] = []
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async def create(self, *args: Any, **kwargs: Any) -> dict[str, str]:
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self.created.append({"args": args, "kwargs": kwargs})
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return {"run_id": "run-1"}
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class _FakeClient:
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def __init__(self, metadata: dict[str, Any]) -> None:
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self.threads = _FakeThreads(metadata)
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self.runs = _FakeRuns()
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async def _inactive_thread(thread_id: str) -> bool:
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return False
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async def _active_thread(thread_id: str) -> bool:
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return True
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async def _noop_token_check(login: str) -> None:
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return None
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async def _empty_profile(login: str) -> dict[str, Any]:
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return {}
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async def _run_email(login: str, profile: dict[str, Any]) -> str:
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return "octocat@example.com"
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@pytest.mark.asyncio
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async def test_dashboard_followup_on_slack_thread_uses_dashboard_source(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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metadata = {
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"source": "slack",
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"github_login": "octocat",
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"triggering_user_email": "octocat@example.com",
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"repo_owner": "octo",
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"repo_name": "repo",
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"source_context": {
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"slack_thread": {"channel_id": "C1", "thread_ts": "123.45"},
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},
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}
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client = _FakeClient(metadata)
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monkeypatch.setattr(thread_api, "langgraph_client", lambda: client)
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monkeypatch.setattr(thread_api, "is_thread_active", _inactive_thread)
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monkeypatch.setattr(thread_api, "_ensure_dashboard_github_token", _noop_token_check)
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monkeypatch.setattr(thread_api, "get_profile", _empty_profile)
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monkeypatch.setattr(thread_api, "_resolve_run_email", _run_email)
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await thread_api.send_dashboard_message(
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"thread-1",
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"octocat",
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thread_api.ThreadMessageBody(content="continue in web"),
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email="octocat@example.com",
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)
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run_config = client.runs.created[0]["kwargs"]["config"]["configurable"]
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assert client.threads.updates[0]["source"] == "dashboard"
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assert run_config["source"] == "dashboard"
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assert "slack_thread" not in run_config
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assert run_config["repo"] == {"owner": "octo", "name": "repo"}
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@pytest.mark.asyncio
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async def test_dashboard_followup_on_busy_thread_queues_dashboard_handoff(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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metadata = {
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"source": "slack",
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"github_login": "octocat",
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"triggering_user_email": "octocat@example.com",
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}
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client = _FakeClient(metadata)
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queued_messages: list[object] = []
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async def fake_queue_message_for_thread(thread_id: str, message_content: object) -> bool:
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queued_messages.append(message_content)
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return True
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monkeypatch.setattr(thread_api, "langgraph_client", lambda: client)
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monkeypatch.setattr(thread_api, "is_thread_active", _active_thread)
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monkeypatch.setattr(thread_api, "queue_message_for_thread", fake_queue_message_for_thread)
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await thread_api.send_dashboard_message(
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"thread-1",
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"octocat",
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thread_api.ThreadMessageBody(content="continue in web"),
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email="octocat@example.com",
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)
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assert client.threads.updates[0]["source"] == "dashboard"
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assert queued_messages == [{"text": "continue in web", "source": "dashboard"}]
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@ -2,6 +2,7 @@ from unittest.mock import MagicMock, patch
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from langchain_core.messages import AIMessage, HumanMessage, ToolMessage
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from agent.middleware.check_message_queue import DASHBOARD_HANDOFF_INSTRUCTION
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from agent.middleware.ensure_no_empty_msg import (
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check_if_confirming_completion,
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check_if_model_messaged_user,
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@ -205,3 +206,26 @@ class TestEnsureNoEmptyMsgNotify:
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assert result is None
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assert not ai.tool_calls
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def test_skips_confirming_completion_for_dashboard_handoff(self) -> None:
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ai = AIMessage(content="Done in web.")
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state = {
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"messages": [
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HumanMessage(
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content=[
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{"type": "text", "text": DASHBOARD_HANDOFF_INSTRUCTION},
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{"type": "text", "text": "continue in web"},
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]
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),
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ai,
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]
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}
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with patch(
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"agent.middleware.ensure_no_empty_msg.get_config",
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return_value={"configurable": {"source": "slack"}},
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):
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result = ensure_no_empty_msg.after_model(state, self._make_runtime())
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assert result is None
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assert not ai.tool_calls
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