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https://github.com/Sea-Haven-Industries/open-swe.git
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* feat: chat with your PR on the review page
Add a sandbox-less `chat` graph that answers questions about a single PR
from its diff, the published review findings, and read-only GitHub access.
- agent/chat.py: deepagents graph, no sandbox (default StateBackend, file
mutation + execute tools excluded). PR context is seeded as virtual files
under /pr/; a repo-scoped App token is resolved in-graph.
- tools: read_repo_file, search_repo_code, list_review_findings.
- dashboard/review_chat_api.py + routes: per-user chat thread, LangGraph
stream/commands/state/history proxy pinned to the chat assistant, seeds
diff/findings/overview on first run. Gated by repo access.
- UI: Chat tab wired to a chat-scoped StreamProvider (replaces Coming Soon).
* feat: admin setting for review-chat default model
Add a 'Open SWE Review Chat' default to team settings (default_chat_model /
default_chat_reasoning_effort). get_team_default_model("chat") inherits the
Agent default when unset; the chat graph resolves through it. Admin RolePicker
gains an 'Agent default' inherit option that clears the override.
* feat: multi-conversation review chat (tabs, new chat, history)
Replace the single per-PR chat thread with multiple per-user conversations:
- threads minted client-side; first message persists with a title derived
from the prompt.
- list + delete endpoints; chat panel gets a tab strip (history), new-chat
(+), close (x), refresh, an intro greeting, and suggested prompts.
- get_review_chat now returns availability only (ids are client-minted).
* ui fixes
* ui: review-chat history dropdown, full-width AI replies, resizable side panel
* fix(review-chat): enforce per-user thread ownership on proxy endpoints; reseed PR context on head change
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
117 lines
3.7 KiB
Python
117 lines
3.7 KiB
Python
from __future__ import annotations
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from unittest.mock import AsyncMock, patch
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import pytest
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from pydantic import ValidationError
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from agent.dashboard.team_settings import (
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ORG_GUIDELINES_MAX_CHARS,
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TeamSettingsUpdate,
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get_org_review_guidelines,
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get_team_default_model,
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)
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_AGENT_PAIR = ("anthropic:claude-opus-4-8", "high")
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_CHAT_PAIR = ("google_genai:gemini-3.5-flash", "low")
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def test_org_guidelines_blank_normalizes_to_none() -> None:
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assert TeamSettingsUpdate(org_guidelines=" ").org_guidelines is None
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assert TeamSettingsUpdate(org_guidelines=None).org_guidelines is None
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def test_org_guidelines_trimmed() -> None:
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update = TeamSettingsUpdate(org_guidelines=" Flag CI gate removals.\n")
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assert update.org_guidelines == "Flag CI gate removals."
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def test_org_guidelines_rejects_oversized() -> None:
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with pytest.raises(ValidationError):
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TeamSettingsUpdate(org_guidelines="x" * (ORG_GUIDELINES_MAX_CHARS + 1))
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@pytest.mark.asyncio
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async def test_get_org_review_guidelines_returns_trimmed_text() -> None:
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with patch(
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"agent.dashboard.team_settings.get_team_settings",
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new_callable=AsyncMock,
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return_value={"org_guidelines": " Always check auth.\n"},
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):
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assert await get_org_review_guidelines() == "Always check auth."
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@pytest.mark.asyncio
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async def test_get_org_review_guidelines_returns_none_when_unset() -> None:
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with patch(
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"agent.dashboard.team_settings.get_team_settings",
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new_callable=AsyncMock,
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return_value={"org_guidelines": None},
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):
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assert await get_org_review_guidelines() is None
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def _settings(**overrides: object) -> dict[str, object]:
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base = {
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"default_agent_model": _AGENT_PAIR[0],
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"default_agent_reasoning_effort": _AGENT_PAIR[1],
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"default_chat_model": None,
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"default_chat_reasoning_effort": None,
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}
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base.update(overrides)
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return base
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@pytest.mark.asyncio
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async def test_chat_default_inherits_agent_when_unset() -> None:
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with patch(
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"agent.dashboard.team_settings.get_team_settings",
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new_callable=AsyncMock,
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return_value=_settings(),
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):
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assert await get_team_default_model("chat") == _AGENT_PAIR
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@pytest.mark.asyncio
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async def test_chat_default_uses_chat_model_when_set() -> None:
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with patch(
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"agent.dashboard.team_settings.get_team_settings",
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new_callable=AsyncMock,
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return_value=_settings(
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default_chat_model=_CHAT_PAIR[0],
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default_chat_reasoning_effort=_CHAT_PAIR[1],
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),
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):
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assert await get_team_default_model("chat") == _CHAT_PAIR
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@pytest.mark.asyncio
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async def test_chat_default_inherits_agent_when_chat_model_invalid() -> None:
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with patch(
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"agent.dashboard.team_settings.get_team_settings",
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new_callable=AsyncMock,
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return_value=_settings(
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default_chat_model="bogus:model",
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default_chat_reasoning_effort="high",
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),
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):
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assert await get_team_default_model("chat") == _AGENT_PAIR
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def test_team_settings_update_accepts_chat_pair() -> None:
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update = TeamSettingsUpdate(
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default_chat_model=_CHAT_PAIR[0],
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default_chat_reasoning_effort=_CHAT_PAIR[1],
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)
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assert update.default_chat_model == _CHAT_PAIR[0]
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assert update.default_chat_reasoning_effort == _CHAT_PAIR[1]
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def test_team_settings_update_rejects_chat_effort_without_model() -> None:
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with pytest.raises(ValidationError):
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TeamSettingsUpdate(default_chat_reasoning_effort="high")
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def test_team_settings_update_rejects_unsupported_chat_effort() -> None:
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with pytest.raises(ValidationError):
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TeamSettingsUpdate(default_chat_model=_CHAT_PAIR[0], default_chat_reasoning_effort="max")
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