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* feat: port plan-review & workflow-approval UX (#135)
Port six upstream commits onto dev:
- c03a6be7 (already ported): keep plan guidance high-level
- 546042a4: add workflow approval UI with diff preview, approval URLs,
web review links, and polling for approval status during active runs
- 216cf181: remove workflow token elevation; approved pushes pass
through directly without proxy token rewriting
- 3dbc0282: preserve plan redirects after login by accepting relative
same-origin redirect_to values and rejecting blocked paths
- bb104d93: submit plan comments with cmd+enter
- 90cb6caa: terse Slack replies, shared content via save_plan outside
plan mode (PLAN_STATUS_SHARED), reject shared-content mutations
Refs: #135
* feat: port durable dispatch hardening and startup latency improvements
Port five upstream PRs onto dev:
- #1621 / #1658: durable dispatch with loopback webhook defense,
create_durable_run helper, _config_with_prepare_run_id, degradation
to None for relative/loopback completion webhook URLs
- #1696: run-level completion webhook deduplication (replace
claim-then-post with post-then-flag per run_id), DeferredErrorModel
for graph-factory resilience, ToolRetryMiddleware for task subagents,
TimeoutWrapupMiddleware for all three graphs
- #1697: lazy-load __init__.py for agent.middleware, agent.tools,
agent.dashboard (PEP 562); defer heavy imports (exa_py in web_search,
agent.webapp in request_pr_review, deepagents in sandbox.py); add
ttl_cache.py with stale-while-revalidate for tool loaders
Refs: #137
* fix: restore login page render and clear CI lint/format
The plan-review port removed the authRedirectUrl import from login.tsx
but left its call site, crashing the login page at runtime (blank page,
no 'Sign in to open-swe'). Pass the relative path straight to loginUrl,
matching the plan route and the backend relative-redirect handling.
Also drop an unused os import in the guard test and reformat
workflow_push_guard.py to satisfy ruff.
* fix: restore RepairOrphaned middleware export and repoint model fake to deferred_model boundary
* fix: restore RepairOrphanedToolCallsMiddleware, fix E2E model-fake patch, drop dead ttl_cache
- Re-add RepairOrphanedToolCallsMiddleware to the lazy middleware __init__
(_MIDDLEWARE_MODULES, __all__, TYPE_CHECKING) so agent.reviewer can import it.
- Reroute E2E model patching to deferred_model.make_model so make_model_or_defer
(used by all three graph factories) returns the scripted fake instead of
building a real model with fake credentials.
- Drop unused agent/utils/ttl_cache.py — no agent module imports it.
- Fix import ordering in agent/reviewer.py and agent/analyzer.py (ruff I001).
- Format tests/test_dispatch.py.
* fix: claim-then-post run-level failure dedup; stop permanent suppression
---------
Co-authored-by: amoussa1229 <166072409+amoussa1229@users.noreply.github.com>
Co-authored-by: Adam Moussa <adam@seahavenind.com>
163 lines
5.9 KiB
Python
163 lines
5.9 KiB
Python
from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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from langgraph.graph.state import RunnableConfig
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from agent.server import get_agent
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class _DummyAgent:
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def with_config(self, config: RunnableConfig) -> "_DummyAgent":
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self.config = config
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return self
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@pytest.mark.asyncio
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async def test_agent_uses_profile_subagent_model_override() -> None:
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config: RunnableConfig = {
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"configurable": {
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"__is_for_execution__": True,
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"thread_id": "thread-123",
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"github_login": "octocat",
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},
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"metadata": {},
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}
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main_model = MagicMock(name="main_model")
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subagent_model = MagicMock(name="subagent_model")
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captured: dict[str, object] = {}
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def fake_create_deep_agent(**kwargs: object) -> _DummyAgent:
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captured.update(kwargs)
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return _DummyAgent()
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with (
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patch(
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"agent.server.resolve_github_token",
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new_callable=AsyncMock,
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return_value=("ghp", None),
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),
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patch("agent.server.resolve_triggering_user_identity", return_value=None),
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patch(
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"agent.server.ensure_sandbox_for_thread",
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new_callable=AsyncMock,
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return_value=MagicMock(),
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),
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patch(
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"agent.server.aresolve_sandbox_work_dir",
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new_callable=AsyncMock,
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return_value="/workspace",
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),
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patch(
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"agent.server.get_team_default_model_pair",
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new_callable=AsyncMock,
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return_value=(
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("bedrock_converse:us.anthropic.claude-opus-4-8", "medium"),
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("fireworks:accounts/fireworks/models/deepseek-v4-pro", "low"),
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),
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),
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patch(
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"agent.server.load_profile",
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new_callable=AsyncMock,
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return_value={
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"default_model": "bedrock_converse:us.anthropic.claude-opus-4-8",
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"reasoning_effort": "high",
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"default_subagent_model": "fireworks:accounts/fireworks/models/deepseek-v4-pro",
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"subagent_reasoning_effort": "xhigh",
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},
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),
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patch("agent.server.fallback_model_id_for", return_value=None),
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patch(
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"agent.utils.deferred_model.make_model", side_effect=[main_model, subagent_model]
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) as make_model,
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patch("agent.server.construct_system_prompt", return_value="prompt"),
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patch("agent.server.create_deep_agent", side_effect=fake_create_deep_agent),
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):
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await get_agent(config)
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assert captured["model"] is main_model
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subagents = captured["subagents"]
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assert isinstance(subagents, list)
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assert subagents[0]["name"] == "general-purpose"
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assert subagents[0]["model"] is subagent_model
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main_call = make_model.call_args_list[0]
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assert main_call.args == ("bedrock_converse:us.anthropic.claude-opus-4-8",)
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assert main_call.kwargs["additional_model_request_fields"] == {
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"thinking": {"type": "adaptive", "display": "summarized"},
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"output_config": {"effort": "high"},
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}
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subagent_call = make_model.call_args_list[1]
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assert subagent_call.args == ("fireworks:accounts/fireworks/models/deepseek-v4-pro",)
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assert subagent_call.kwargs["model_kwargs"] == {"reasoning_effort": "xhigh"}
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@pytest.mark.asyncio
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async def test_agent_subagent_inherits_profile_model_override_without_explicit_pair() -> None:
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config: RunnableConfig = {
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"configurable": {
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"__is_for_execution__": True,
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"thread_id": "thread-123",
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"github_login": "octocat",
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},
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"metadata": {},
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}
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main_model = MagicMock(name="main_model")
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subagent_model = MagicMock(name="subagent_model")
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captured: dict[str, object] = {}
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def fake_create_deep_agent(**kwargs: object) -> _DummyAgent:
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captured.update(kwargs)
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return _DummyAgent()
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with (
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patch(
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"agent.server.resolve_github_token",
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new_callable=AsyncMock,
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return_value=("ghp", None),
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),
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patch("agent.server.resolve_triggering_user_identity", return_value=None),
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patch(
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"agent.server.ensure_sandbox_for_thread",
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new_callable=AsyncMock,
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return_value=MagicMock(),
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),
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patch(
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"agent.server.aresolve_sandbox_work_dir",
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new_callable=AsyncMock,
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return_value="/workspace",
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),
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patch(
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"agent.server.get_team_default_model_pair",
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new_callable=AsyncMock,
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return_value=(
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("bedrock_converse:us.anthropic.claude-opus-4-8", "medium"),
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("fireworks:accounts/fireworks/models/deepseek-v4-pro", "low"),
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),
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),
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patch(
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"agent.server.load_profile",
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new_callable=AsyncMock,
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return_value={
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"default_model": "bedrock_converse:us.anthropic.claude-opus-4-8",
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"reasoning_effort": "high",
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},
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),
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patch("agent.server.fallback_model_id_for", return_value=None),
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patch(
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"agent.utils.deferred_model.make_model", side_effect=[main_model, subagent_model]
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) as make_model,
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patch("agent.server.construct_system_prompt", return_value="prompt"),
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patch("agent.server.create_deep_agent", side_effect=fake_create_deep_agent),
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):
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await get_agent(config)
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subagents = captured["subagents"]
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assert isinstance(subagents, list)
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assert subagents[0]["model"] is subagent_model
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assert make_model.call_args_list[0].args == ("bedrock_converse:us.anthropic.claude-opus-4-8",)
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assert make_model.call_args_list[1].args == ("bedrock_converse:us.anthropic.claude-opus-4-8",)
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assert make_model.call_args_list[1].kwargs["additional_model_request_fields"] == {
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"thinking": {"type": "adaptive", "display": "summarized"},
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"output_config": {"effort": "high"},
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}
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