|
| 1 | +import os |
| 2 | +import importlib |
| 3 | + |
| 4 | + |
| 5 | +def _fresh(monkeypatch): |
| 6 | + for mod in ["lab.dataset", "lab.dirs"]: |
| 7 | + if mod in importlib.sys.modules: |
| 8 | + importlib.sys.modules.pop(mod) |
| 9 | + |
| 10 | + |
| 11 | +def test_dataset_get_dir(tmp_path, monkeypatch): |
| 12 | + _fresh(monkeypatch) |
| 13 | + home = tmp_path / ".tfl_home" |
| 14 | + ws = tmp_path / ".tfl_ws" |
| 15 | + home.mkdir() |
| 16 | + ws.mkdir() |
| 17 | + monkeypatch.setenv("TFL_HOME_DIR", str(home)) |
| 18 | + monkeypatch.setenv("TFL_WORKSPACE_DIR", str(ws)) |
| 19 | + |
| 20 | + from lab.dataset import Dataset |
| 21 | + |
| 22 | + ds = Dataset("test-dataset") |
| 23 | + d = ds.get_dir() |
| 24 | + assert d.endswith(os.path.join("datasets", "test-dataset")) |
| 25 | + |
| 26 | + |
| 27 | +def test_dataset_create_and_get(tmp_path, monkeypatch): |
| 28 | + _fresh(monkeypatch) |
| 29 | + home = tmp_path / ".tfl_home" |
| 30 | + ws = tmp_path / ".tfl_ws" |
| 31 | + home.mkdir() |
| 32 | + ws.mkdir() |
| 33 | + monkeypatch.setenv("TFL_HOME_DIR", str(home)) |
| 34 | + monkeypatch.setenv("TFL_WORKSPACE_DIR", str(ws)) |
| 35 | + |
| 36 | + from lab.dataset import Dataset |
| 37 | + |
| 38 | + # Create dataset and verify it exists |
| 39 | + ds = Dataset.create("test_dataset") |
| 40 | + assert ds is not None |
| 41 | + assert os.path.isdir(ds.get_dir()) |
| 42 | + index_file = os.path.join(ds.get_dir(), "index.json") |
| 43 | + assert os.path.isfile(index_file) |
| 44 | + |
| 45 | + # Get the dataset and verify its properties |
| 46 | + ds2 = Dataset.get("test_dataset") |
| 47 | + assert isinstance(ds2, Dataset) |
| 48 | + data = ds2.get_json_data() |
| 49 | + assert data["dataset_id"] == "test_dataset" |
| 50 | + assert data["location"] == "local" |
| 51 | + |
| 52 | + |
| 53 | +def test_dataset_default_json(tmp_path, monkeypatch): |
| 54 | + _fresh(monkeypatch) |
| 55 | + home = tmp_path / ".tfl_home" |
| 56 | + ws = tmp_path / ".tfl_ws" |
| 57 | + home.mkdir() |
| 58 | + ws.mkdir() |
| 59 | + monkeypatch.setenv("TFL_HOME_DIR", str(home)) |
| 60 | + monkeypatch.setenv("TFL_WORKSPACE_DIR", str(ws)) |
| 61 | + |
| 62 | + from lab.dataset import Dataset |
| 63 | + |
| 64 | + ds = Dataset.create("test_dataset_default") |
| 65 | + data = ds.get_json_data() |
| 66 | + assert data["dataset_id"] == "test_dataset_default" |
| 67 | + assert data["location"] == "local" |
| 68 | + assert data["description"] == "" |
| 69 | + assert data["size"] == -1 |
| 70 | + assert data["json_data"] == {} |
| 71 | + |
| 72 | + |
| 73 | +def test_dataset_set_metadata(tmp_path, monkeypatch): |
| 74 | + _fresh(monkeypatch) |
| 75 | + home = tmp_path / ".tfl_home" |
| 76 | + ws = tmp_path / ".tfl_ws" |
| 77 | + home.mkdir() |
| 78 | + ws.mkdir() |
| 79 | + monkeypatch.setenv("TFL_HOME_DIR", str(home)) |
| 80 | + monkeypatch.setenv("TFL_WORKSPACE_DIR", str(ws)) |
| 81 | + |
| 82 | + from lab.dataset import Dataset |
| 83 | + |
| 84 | + ds = Dataset.create("test_dataset_metadata") |
| 85 | + |
| 86 | + # Test setting individual metadata fields |
| 87 | + ds.set_metadata(location="remote", description="Test dataset", size=1000) |
| 88 | + data = ds.get_json_data() |
| 89 | + assert data["location"] == "remote" |
| 90 | + assert data["description"] == "Test dataset" |
| 91 | + assert data["size"] == 1000 |
| 92 | + |
| 93 | + # Test setting json_data |
| 94 | + ds.set_metadata(json_data={"key1": "value1", "key2": "value2"}) |
| 95 | + data = ds.get_json_data() |
| 96 | + assert data["json_data"]["key1"] == "value1" |
| 97 | + assert data["json_data"]["key2"] == "value2" |
| 98 | + |
| 99 | + # Test merging json_data (shallow merge) |
| 100 | + ds.set_metadata(json_data={"key2": "updated", "key3": "value3"}) |
| 101 | + data = ds.get_json_data() |
| 102 | + assert data["json_data"]["key1"] == "value1" # Preserved |
| 103 | + assert data["json_data"]["key2"] == "updated" # Updated |
| 104 | + assert data["json_data"]["key3"] == "value3" # New key |
| 105 | + |
| 106 | + |
| 107 | +def test_dataset_get_metadata(tmp_path, monkeypatch): |
| 108 | + _fresh(monkeypatch) |
| 109 | + home = tmp_path / ".tfl_home" |
| 110 | + ws = tmp_path / ".tfl_ws" |
| 111 | + home.mkdir() |
| 112 | + ws.mkdir() |
| 113 | + monkeypatch.setenv("TFL_HOME_DIR", str(home)) |
| 114 | + monkeypatch.setenv("TFL_WORKSPACE_DIR", str(ws)) |
| 115 | + |
| 116 | + from lab.dataset import Dataset |
| 117 | + |
| 118 | + ds = Dataset.create("test_dataset_get") |
| 119 | + ds.set_metadata(description="My dataset", size=500) |
| 120 | + metadata = ds.get_metadata() |
| 121 | + assert metadata["dataset_id"] == "test_dataset_get" |
| 122 | + assert metadata["description"] == "My dataset" |
| 123 | + assert metadata["size"] == 500 |
| 124 | + |
| 125 | + |
| 126 | +def test_dataset_list_all(tmp_path, monkeypatch): |
| 127 | + _fresh(monkeypatch) |
| 128 | + home = tmp_path / ".tfl_home" |
| 129 | + ws = tmp_path / ".tfl_ws" |
| 130 | + home.mkdir() |
| 131 | + ws.mkdir() |
| 132 | + monkeypatch.setenv("TFL_HOME_DIR", str(home)) |
| 133 | + monkeypatch.setenv("TFL_WORKSPACE_DIR", str(ws)) |
| 134 | + |
| 135 | + from lab.dataset import Dataset |
| 136 | + |
| 137 | + # Create multiple datasets |
| 138 | + ds1 = Dataset.create("dataset1") |
| 139 | + ds1.set_metadata(description="First dataset") |
| 140 | + ds2 = Dataset.create("dataset2") |
| 141 | + ds2.set_metadata(description="Second dataset") |
| 142 | + |
| 143 | + # List all datasets |
| 144 | + all_datasets = Dataset.list_all() |
| 145 | + assert isinstance(all_datasets, list) |
| 146 | + assert len(all_datasets) >= 2 |
| 147 | + |
| 148 | + # Verify datasets are in the list |
| 149 | + dataset_ids = [d["dataset_id"] for d in all_datasets] |
| 150 | + assert "dataset1" in dataset_ids |
| 151 | + assert "dataset2" in dataset_ids |
| 152 | + |
| 153 | + |
| 154 | +def test_dataset_list_all_empty_dir(tmp_path, monkeypatch): |
| 155 | + _fresh(monkeypatch) |
| 156 | + home = tmp_path / ".tfl_home" |
| 157 | + ws = tmp_path / ".tfl_ws" |
| 158 | + home.mkdir() |
| 159 | + ws.mkdir() |
| 160 | + monkeypatch.setenv("TFL_HOME_DIR", str(home)) |
| 161 | + monkeypatch.setenv("TFL_WORKSPACE_DIR", str(ws)) |
| 162 | + |
| 163 | + from lab.dataset import Dataset |
| 164 | + |
| 165 | + # List all datasets when none exist |
| 166 | + all_datasets = Dataset.list_all() |
| 167 | + assert isinstance(all_datasets, list) |
| 168 | + assert len(all_datasets) == 0 |
| 169 | + |
| 170 | + |
| 171 | +def test_dataset_secure_filename(tmp_path, monkeypatch): |
| 172 | + _fresh(monkeypatch) |
| 173 | + home = tmp_path / ".tfl_home" |
| 174 | + ws = tmp_path / ".tfl_ws" |
| 175 | + home.mkdir() |
| 176 | + ws.mkdir() |
| 177 | + monkeypatch.setenv("TFL_HOME_DIR", str(home)) |
| 178 | + monkeypatch.setenv("TFL_WORKSPACE_DIR", str(ws)) |
| 179 | + |
| 180 | + from lab.dataset import Dataset |
| 181 | + |
| 182 | + # Test that secure_filename sanitizes the dataset ID |
| 183 | + # secure_filename converts "/" to "_" and ".." to "__" |
| 184 | + ds = Dataset.create("test/../dataset") |
| 185 | + # The directory should be sanitized |
| 186 | + dir_path = ds.get_dir() |
| 187 | + # Should not contain actual path traversal (../ as a path component) |
| 188 | + # secure_filename converts "test/../dataset" to "test_.._dataset" |
| 189 | + # which is safe because ".." is part of the filename, not a path separator |
| 190 | + assert os.path.sep + ".." + os.path.sep not in dir_path |
| 191 | + assert dir_path.endswith("test_.._dataset") or "test_.._dataset" in dir_path |
| 192 | + |
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