|
| 1 | +""" |
| 2 | +Test Cython-based fast JSONL decoder |
| 3 | +
|
| 4 | +This test can only run after the Cython extension is built. |
| 5 | +Run with: python -m pytest tests/unit/utils/test_cython_jsonl_decoder.py |
| 6 | +""" |
| 7 | + |
| 8 | +import os |
| 9 | +import sys |
| 10 | + |
| 11 | +sys.path.insert(1, os.path.join(sys.path[0], "../../..")) |
| 12 | + |
| 13 | +import pytest |
| 14 | + |
| 15 | + |
| 16 | +def test_cython_jsonl_decoder_import(): |
| 17 | + """Test that the Cython decoder can be imported""" |
| 18 | + try: |
| 19 | + from opteryx.compiled.structures import jsonl_decoder |
| 20 | + assert hasattr(jsonl_decoder, 'fast_jsonl_decode_columnar') |
| 21 | + except ImportError: |
| 22 | + pytest.skip("Cython extension not built") |
| 23 | + |
| 24 | + |
| 25 | +def test_cython_jsonl_decoder_basic(): |
| 26 | + """Test basic functionality of Cython JSONL decoder""" |
| 27 | + try: |
| 28 | + from opteryx.compiled.structures import jsonl_decoder |
| 29 | + except ImportError: |
| 30 | + pytest.skip("Cython extension not built") |
| 31 | + |
| 32 | + # Create simple JSONL data |
| 33 | + data = b'''\ |
| 34 | +{"id": 1, "name": "Alice", "active": true, "score": 95.5} |
| 35 | +{"id": 2, "name": "Bob", "active": false, "score": 87.3} |
| 36 | +{"id": 3, "name": "Charlie", "active": true, "score": 92.1} |
| 37 | +''' |
| 38 | + |
| 39 | + column_names = ['id', 'name', 'active', 'score'] |
| 40 | + column_types = { |
| 41 | + 'id': 'int', |
| 42 | + 'name': 'str', |
| 43 | + 'active': 'bool', |
| 44 | + 'score': 'float' |
| 45 | + } |
| 46 | + |
| 47 | + num_rows, num_cols, column_data = jsonl_decoder.fast_jsonl_decode_columnar( |
| 48 | + data, column_names, column_types |
| 49 | + ) |
| 50 | + |
| 51 | + assert num_rows == 3 |
| 52 | + assert num_cols == 4 |
| 53 | + assert column_data['id'] == [1, 2, 3] |
| 54 | + assert column_data['name'] == ['Alice', 'Bob', 'Charlie'] |
| 55 | + assert column_data['active'] == [True, False, True] |
| 56 | + # Floats might have minor precision differences |
| 57 | + assert abs(column_data['score'][0] - 95.5) < 0.01 |
| 58 | + assert abs(column_data['score'][1] - 87.3) < 0.01 |
| 59 | + assert abs(column_data['score'][2] - 92.1) < 0.01 |
| 60 | + |
| 61 | + |
| 62 | +def test_cython_jsonl_decoder_with_nulls(): |
| 63 | + """Test Cython JSONL decoder with null values""" |
| 64 | + try: |
| 65 | + from opteryx.compiled.structures import jsonl_decoder |
| 66 | + except ImportError: |
| 67 | + pytest.skip("Cython extension not built") |
| 68 | + |
| 69 | + data = b'''\ |
| 70 | +{"id": 1, "name": "Alice", "city": "NYC"} |
| 71 | +{"id": 2, "name": "Bob", "city": null} |
| 72 | +{"id": 3, "name": null, "city": "LA"} |
| 73 | +''' |
| 74 | + |
| 75 | + column_names = ['id', 'name', 'city'] |
| 76 | + column_types = { |
| 77 | + 'id': 'int', |
| 78 | + 'name': 'str', |
| 79 | + 'city': 'str' |
| 80 | + } |
| 81 | + |
| 82 | + num_rows, num_cols, column_data = jsonl_decoder.fast_jsonl_decode_columnar( |
| 83 | + data, column_names, column_types |
| 84 | + ) |
| 85 | + |
| 86 | + assert num_rows == 3 |
| 87 | + assert column_data['name'][0] == "Alice" |
| 88 | + assert column_data['name'][1] == "Bob" |
| 89 | + assert column_data['name'][2] is None |
| 90 | + assert column_data['city'][0] == "NYC" |
| 91 | + assert column_data['city'][1] is None |
| 92 | + assert column_data['city'][2] == "LA" |
| 93 | + |
| 94 | + |
| 95 | +def test_cython_jsonl_decoder_negative_numbers(): |
| 96 | + """Test Cython JSONL decoder with negative numbers""" |
| 97 | + try: |
| 98 | + from opteryx.compiled.structures import jsonl_decoder |
| 99 | + except ImportError: |
| 100 | + pytest.skip("Cython extension not built") |
| 101 | + |
| 102 | + data = b'''\ |
| 103 | +{"id": -1, "balance": -123.45} |
| 104 | +{"id": -2, "balance": -0.99} |
| 105 | +{"id": 3, "balance": 100.00} |
| 106 | +''' |
| 107 | + |
| 108 | + column_names = ['id', 'balance'] |
| 109 | + column_types = { |
| 110 | + 'id': 'int', |
| 111 | + 'balance': 'float' |
| 112 | + } |
| 113 | + |
| 114 | + num_rows, num_cols, column_data = jsonl_decoder.fast_jsonl_decode_columnar( |
| 115 | + data, column_names, column_types |
| 116 | + ) |
| 117 | + |
| 118 | + assert num_rows == 3 |
| 119 | + assert column_data['id'] == [-1, -2, 3] |
| 120 | + assert abs(column_data['balance'][0] - (-123.45)) < 0.01 |
| 121 | + |
| 122 | + |
| 123 | +def test_jsonl_decoder_integration(): |
| 124 | + """Test integration with file_decoders.jsonl_decoder""" |
| 125 | + from opteryx.utils.file_decoders import jsonl_decoder |
| 126 | + |
| 127 | + data = b'''\ |
| 128 | +{"id": 1, "name": "Alice", "active": true} |
| 129 | +{"id": 2, "name": "Bob", "active": false} |
| 130 | +{"id": 3, "name": "Charlie", "active": true} |
| 131 | +''' |
| 132 | + |
| 133 | + # This should work with or without the Cython extension |
| 134 | + num_rows, num_cols, _, table = jsonl_decoder(data, use_fast_decoder=True) |
| 135 | + |
| 136 | + assert num_rows == 3 |
| 137 | + assert table.num_rows == 3 |
| 138 | + assert set(table.column_names) == {"id", "name", "active"} |
| 139 | + |
| 140 | + |
| 141 | +def test_jsonl_decoder_fallback(): |
| 142 | + """Test that decoder falls back gracefully when Cython unavailable""" |
| 143 | + from opteryx.utils.file_decoders import jsonl_decoder |
| 144 | + |
| 145 | + # Small data that won't trigger fast decoder |
| 146 | + data = b'{"id": 1, "name": "Alice"}\n' |
| 147 | + |
| 148 | + num_rows, num_cols, _, table = jsonl_decoder(data) |
| 149 | + |
| 150 | + assert num_rows == 1 |
| 151 | + assert table.num_rows == 1 |
| 152 | + |
| 153 | + |
| 154 | +if __name__ == "__main__": # pragma: no cover |
| 155 | + from tests import run_tests |
| 156 | + |
| 157 | + run_tests() |
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