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2edb0c1 faa326b 2edb0c1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | from __future__ import annotations
import importlib
import re
from types import SimpleNamespace
from unittest.mock import MagicMock
import pytest
@pytest.fixture
def inference_module(monkeypatch: pytest.MonkeyPatch):
monkeypatch.setenv("HF_TOKEN", "test-token")
import inference
return importlib.reload(inference)
def test_require_hf_token_raises_at_runtime(monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.delenv("HF_TOKEN", raising=False)
import inference
module = importlib.reload(inference)
with pytest.raises(ValueError, match="HF_TOKEN environment variable is required"):
module._require_hf_token()
def test_run_task_emits_required_stdout_format(
inference_module, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str]
) -> None:
def choose_action(
client: MagicMock,
task_id: str,
observation: dict[str, object],
opened_ids: list[str],
) -> dict[str, object]:
return inference_module._scripted_policy(task_id, opened_ids)
monkeypatch.setattr(inference_module, "_choose_action", choose_action)
inference_module._run_task("pagination-regression", MagicMock())
lines = capsys.readouterr().out.strip().splitlines()
assert re.fullmatch(
rf"\[START\] task=pagination-regression env={inference_module.BENCHMARK} "
rf"model={re.escape(inference_module.MODEL_NAME)}",
lines[0],
)
assert re.fullmatch(
r'\[STEP\] step=1 action=\{"action_type":"open_artifact","artifact_id":"test_log","note":"Need the failing test\."\} reward=\d+\.\d{4} done=false error=null',
lines[1],
)
assert re.fullmatch(
r"\[END\] success=true steps=2 rewards=\d+\.\d{2},\d+\.\d{2}",
lines[-1],
)
assert "score=" not in lines[-1]
assert '"metadata"' not in lines[1]
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