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https://github.com/Sea-Haven-Industries/open-swe.git
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0927f2dd9c
* Run reviewer eval in a GitHub Action; make dashboard a read-only progress view The dashboard launched the eval as a subprocess inside the serving deployment worker, so a container recycle killed long runs and discarded results that had already completed server-side. Move the harness to a workflow_dispatch Action (run on prod). run_eval now publishes status/progress/log-tail to the LangGraph store record the dashboard reads, so /admin/evals stays a live view; a killed Action surfaces as failed via the stale-heartbeat reconcile. * reviewer_eval workflow: pass inputs via env, no shell interpolation Addresses the reviewer finding: workflow_dispatch string inputs were interpolated into the run: block (limit unquoted), allowing shell injection in a job holding LANGSMITH/ANTHROPIC keys. Pass inputs through env and reference quoted "$VARS"; validate limit is numeric and build its flag in bash. --------- Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
95 lines
3.6 KiB
Python
95 lines
3.6 KiB
Python
from __future__ import annotations
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from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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from evals.reviewer import store_reporter
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from evals.reviewer.store_reporter import StoreReporter, github_run_url, is_enabled
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_CONFIG = {
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"experiment_prefix": "openswe-review-confidence",
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"langsmith_project": "open-swe-evals",
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"model_id": "google_genai:gemini-3.5-flash",
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}
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def _make_reporter(
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monkeypatch: pytest.MonkeyPatch, completed: int = 0
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) -> tuple[StoreReporter, MagicMock]:
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monkeypatch.setenv("LANGGRAPH_URL", "https://lg.test")
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monkeypatch.setenv("GITHUB_SERVER_URL", "https://github.com")
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monkeypatch.setenv("GITHUB_REPOSITORY", "langchain-ai/open-swe")
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monkeypatch.setenv("GITHUB_RUN_ID", "12345")
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monkeypatch.setenv("GITHUB_ACTOR", "octocat")
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client = MagicMock()
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client.store.put_item = AsyncMock()
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with patch.object(store_reporter, "get_client", return_value=client):
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reporter = StoreReporter(
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config=dict(_CONFIG),
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limit=3,
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total=10,
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created_by=None,
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completed_getter=lambda: completed,
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tail_getter=lambda: "tail",
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experiment_url_getter=lambda: "https://smith.langchain.com/exp",
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)
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return reporter, client
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def test_is_enabled(monkeypatch: pytest.MonkeyPatch) -> None:
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monkeypatch.delenv("REVIEWER_EVAL_REPORT_STORE", raising=False)
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monkeypatch.delenv("LANGGRAPH_URL", raising=False)
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assert is_enabled() is False
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monkeypatch.setenv("REVIEWER_EVAL_REPORT_STORE", "1")
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assert is_enabled() is False # still needs LANGGRAPH_URL
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monkeypatch.setenv("LANGGRAPH_URL", "https://lg.test")
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assert is_enabled() is True
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def test_github_run_url(monkeypatch: pytest.MonkeyPatch) -> None:
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monkeypatch.setenv("GITHUB_SERVER_URL", "https://github.com")
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monkeypatch.setenv("GITHUB_REPOSITORY", "langchain-ai/open-swe")
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monkeypatch.setenv("GITHUB_RUN_ID", "999")
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assert github_run_url() == "https://github.com/langchain-ai/open-swe/actions/runs/999"
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monkeypatch.delenv("GITHUB_RUN_ID")
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assert github_run_url() is None
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@pytest.mark.asyncio
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async def test_start_writes_running_record(monkeypatch: pytest.MonkeyPatch) -> None:
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reporter, client = _make_reporter(monkeypatch, completed=2)
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await reporter.start()
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client.store.put_item.assert_awaited_once()
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namespace, key, record = client.store.put_item.await_args.args
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assert namespace == ["evals"]
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assert key == "reviewer"
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assert record["status"] == "running"
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assert record["trigger"] == "github_action"
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assert record["progress"] == {"completed": 2, "total": 10}
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assert record["github_run_url"] == "https://github.com/langchain-ai/open-swe/actions/runs/12345"
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assert record["created_by"] == "octocat" # falls back to GITHUB_ACTOR
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assert record["worker_id"] == "12345"
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assert record["run_name"] == "openswe-review-confidence"
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assert record["limit"] == 3
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assert record["heartbeat"]
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@pytest.mark.asyncio
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async def test_finish_writes_terminal_record(monkeypatch: pytest.MonkeyPatch) -> None:
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reporter, client = _make_reporter(monkeypatch)
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await reporter.finish(status="failed", error="boom")
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_, _, record = client.store.put_item.await_args.args
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assert record["status"] == "failed"
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assert record["error"] == "boom"
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assert record["finished_at"]
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@pytest.mark.asyncio
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async def test_put_swallows_store_errors(monkeypatch: pytest.MonkeyPatch) -> None:
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reporter, client = _make_reporter(monkeypatch)
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client.store.put_item = AsyncMock(side_effect=RuntimeError("store down"))
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# Should not raise — store failures must not crash the eval.
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await reporter.start()
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