airfRANS-model-exploration/tests/test_training_config.py

from __future__ import annotations

import tempfile
import unittest
from pathlib import Path

from airfrans_frontier.training.config import load_training_config


class TrainingConfigTests(unittest.TestCase):
    def test_config_loader_accepts_mlp_tiny(self) -> None:
        config = load_training_config("configs/mlp_tiny.toml")

        self.assertEqual(config.run.name, "mlp_tiny")
        self.assertEqual(config.model.type, "mlp")
        self.assertEqual(config.loss.type, "normalized_mse")
        self.assertEqual(config.device.type, "cuda")
        self.assertTrue(config.data.root.is_absolute())
        self.assertEqual(config.data.source, "local")
        self.assertIsNone(config.data.hf_repo_id)
        self.assertIsNone(config.data.cache_dir)

    def test_config_loader_accepts_huggingface_data_source(self) -> None:
        config = load_training_config("configs/aggressive_smoke.toml")

        self.assertEqual(config.data.source, "huggingface")
        self.assertEqual(config.data.hf_repo_id, "zacheryasc/airfrans-processed")
        self.assertEqual(config.data.hf_path_prefix, "processed/full")
        self.assertTrue(config.data.cache_dir is not None)

    def test_config_loader_rejects_missing_section(self) -> None:
        with tempfile.TemporaryDirectory() as tmp:
            config_path = Path(tmp) / "bad.toml"
            config_path.write_text("[run]\nname = 'bad'\n")

            with self.assertRaisesRegex(ValueError, r"missing \[data\] section"):
                load_training_config(config_path)


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