tests/test_smoke.py

import tempfile
import unittest
from pathlib import Path

from multi_agent_lab.config import TrainConfig
from multi_agent_lab.orchestrator import Orchestrator


class SmokeTest(unittest.TestCase):
    def test_stable_run_completes(self) -> None:
        with tempfile.TemporaryDirectory() as td:
            runs_dir = Path(td) / "runs"
            orch = Orchestrator(base_runs_dir=runs_dir)
            cfg = TrainConfig(seed=123, n_samples=600, n_features=10, epochs=10, lr=0.3)
            store, summary = orch.run(cfg=cfg, scenario="stable")

            self.assertTrue(store.path("report.md").exists())
            ev = summary.get("eval", {})
            self.assertGreaterEqual(float(ev.get("val_acc", 0.0)), 0.75)


if __name__ == "__main__":
    unittest.main()