airfRANS-model-exploration/tests/test_data_sources.py

from __future__ import annotations

import json
import os
import sys
import tempfile
import types
import unittest
from pathlib import Path
from unittest.mock import patch

from airfrans_frontier.runtime import remove_pythonpath_entries
from airfrans_frontier.training.config import DataConfig
from airfrans_frontier.training.data_sources import publish_processed_dataset, resolve_training_data_root

remove_pythonpath_entries()
import numpy as np


class DataSourceTests(unittest.TestCase):
    def test_huggingface_source_downloads_prefix_to_cache(self) -> None:
        calls: list[dict[str, object]] = []

        def fake_snapshot_download(**kwargs):
            calls.append(kwargs)
            local_dir = Path(str(kwargs["local_dir"]))
            target = local_dir / "processed" / "full"
            target.mkdir(parents=True)
            return str(local_dir)

        fake_module = types.SimpleNamespace(snapshot_download=fake_snapshot_download)
        with tempfile.TemporaryDirectory() as tmp, patch.dict(sys.modules, {"huggingface_hub": fake_module}), patch.dict(os.environ, {}, clear=False):
            tmp_path = Path(tmp)
            config = DataConfig(
                root=tmp_path / "configured-root",
                train_cases=1,
                val_cases=0,
                test_cases=0,
                points_per_case=1,
                all_points_per_case=False,
                batch_size=1,
                source="huggingface",
                hf_repo_id="owner/airfrans-processed",
                hf_repo_type="dataset",
                hf_path_prefix="processed/full",
                cache_dir=tmp_path / "cache",
            )

            resolved = resolve_training_data_root(config)

            self.assertEqual(resolved, tmp_path / "cache" / "processed" / "full")
            self.assertEqual(calls[0]["repo_id"], "owner/airfrans-processed")
            self.assertEqual(calls[0]["repo_type"], "dataset")
            self.assertEqual(calls[0]["allow_patterns"], ["processed/full/**"])

    def test_publish_processed_dataset_uploads_folder_and_manifest(self) -> None:
        created: list[tuple[str, str, bool]] = []
        uploaded_folders: list[tuple[str, str]] = []
        uploaded_files: list[str] = []

        class FakeApi:
            def __init__(self, token: str) -> None:
                self.token = token

            def create_repo(self, *, repo_id: str, repo_type: str, private: bool, exist_ok: bool) -> None:
                created.append((repo_id, repo_type, private))

            def upload_folder(self, *, repo_id: str, repo_type: str, folder_path: str, path_in_repo: str, commit_message: str):
                uploaded_folders.append((folder_path, path_in_repo))
                return types.SimpleNamespace(commit_url="https://huggingface.co/datasets/owner/repo/commit/abc", oid="abc")

            def upload_file(self, *, repo_id: str, repo_type: str, path_or_fileobj: str, path_in_repo: str, commit_message: str):
                uploaded_files.append(path_in_repo)
                return types.SimpleNamespace(commit_url="https://huggingface.co/datasets/owner/repo/commit/def", oid="def")

        fake_module = types.SimpleNamespace(HfApi=FakeApi)
        with tempfile.TemporaryDirectory() as tmp, patch.dict(sys.modules, {"huggingface_hub": fake_module}), patch.dict(os.environ, {"HF_TOKEN": "token"}):
            root = Path(tmp) / "processed"
            root.mkdir()
            np.savez(root / "case_00.npz", features=np.zeros((2, 2), dtype=np.float32), targets=np.zeros((2, 1), dtype=np.float32))
            manifest_path = Path(tmp) / "manifest.json"

            manifest = publish_processed_dataset(
                data_root=root,
                repo_id="owner/repo",
                path_in_repo="processed/full",
                manifest_out=manifest_path,
            )

            self.assertEqual(created, [("owner/repo", "dataset", False)])
            self.assertEqual(uploaded_folders, [(str(root), "processed/full")])
            self.assertEqual(uploaded_files, ["processed/full/hf_dataset_manifest.json"])
            self.assertEqual(manifest["npz_file_count"], 1)
            self.assertTrue(manifest_path.is_file())
            self.assertEqual(json.loads(manifest_path.read_text())["uploaded_manifest_path"], "processed/full/hf_dataset_manifest.json")


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