Spaces:
Runtime error
Runtime error
File size: 4,992 Bytes
e4f9cbe 55dc3dd e4f9cbe 55dc3dd e4f9cbe |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 |
"""Tests for dataset.select_rows(filters=[...])."""
import pytest
from ..schema import UUID_COLUMN, Item, schema
from .dataset import BinaryFilterTuple, BinaryOp, ListFilterTuple, ListOp, UnaryOp
from .dataset_test_utils import TestDataMaker
TEST_DATA: list[Item] = [{
UUID_COLUMN: '1',
'str': 'a',
'int': 1,
'bool': False,
'float': 3.0
}, {
UUID_COLUMN: '2',
'str': 'b',
'int': 2,
'bool': True,
'float': 2.0
}, {
UUID_COLUMN: '3',
'str': 'b',
'int': 2,
'bool': True,
'float': 1.0
}, {
UUID_COLUMN: '4',
'float': float('nan')
}]
def test_filter_by_ids(make_test_data: TestDataMaker) -> None:
dataset = make_test_data(TEST_DATA)
id_filter: BinaryFilterTuple = (UUID_COLUMN, BinaryOp.EQUALS, '1')
result = dataset.select_rows(filters=[id_filter])
assert list(result) == [{UUID_COLUMN: '1', 'str': 'a', 'int': 1, 'bool': False, 'float': 3.0}]
id_filter = (UUID_COLUMN, BinaryOp.EQUALS, '2')
result = dataset.select_rows(filters=[id_filter])
assert list(result) == [{UUID_COLUMN: '2', 'str': 'b', 'int': 2, 'bool': True, 'float': 2.0}]
id_filter = (UUID_COLUMN, BinaryOp.EQUALS, b'f')
result = dataset.select_rows(filters=[id_filter])
assert list(result) == []
def test_filter_greater(make_test_data: TestDataMaker) -> None:
dataset = make_test_data(TEST_DATA)
id_filter: BinaryFilterTuple = ('float', BinaryOp.GREATER, 2.0)
result = dataset.select_rows(filters=[id_filter])
assert list(result) == [{UUID_COLUMN: '1', 'str': 'a', 'int': 1, 'bool': False, 'float': 3.0}]
def test_filter_greater_equal(make_test_data: TestDataMaker) -> None:
dataset = make_test_data(TEST_DATA)
id_filter: BinaryFilterTuple = ('float', BinaryOp.GREATER_EQUAL, 2.0)
result = dataset.select_rows(filters=[id_filter])
assert list(result) == [{
UUID_COLUMN: '1',
'str': 'a',
'int': 1,
'bool': False,
'float': 3.0
}, {
UUID_COLUMN: '2',
'str': 'b',
'int': 2,
'bool': True,
'float': 2.0
}]
def test_filter_less(make_test_data: TestDataMaker) -> None:
dataset = make_test_data(TEST_DATA)
id_filter: BinaryFilterTuple = ('float', BinaryOp.LESS, 2.0)
result = dataset.select_rows(filters=[id_filter])
assert list(result) == [{UUID_COLUMN: '3', 'str': 'b', 'int': 2, 'bool': True, 'float': 1.0}]
def test_filter_less_equal(make_test_data: TestDataMaker) -> None:
dataset = make_test_data(TEST_DATA)
id_filter: BinaryFilterTuple = ('float', BinaryOp.LESS_EQUAL, 2.0)
result = dataset.select_rows(filters=[id_filter])
assert list(result) == [{
UUID_COLUMN: '2',
'str': 'b',
'int': 2,
'bool': True,
'float': 2.0
}, {
UUID_COLUMN: '3',
'str': 'b',
'int': 2,
'bool': True,
'float': 1.0
}]
def test_filter_not_equal(make_test_data: TestDataMaker) -> None:
dataset = make_test_data(TEST_DATA)
id_filter: BinaryFilterTuple = ('float', BinaryOp.NOT_EQUAL, 2.0)
result = dataset.select_rows(filters=[id_filter])
assert list(result) == [
{
UUID_COLUMN: '1',
'str': 'a',
'int': 1,
'bool': False,
'float': 3.0
},
{
UUID_COLUMN: '3',
'str': 'b',
'int': 2,
'bool': True,
'float': 1.0
},
# NaNs are not counted when we are filtering a field.
]
def test_filter_by_list_of_ids(make_test_data: TestDataMaker) -> None:
dataset = make_test_data(TEST_DATA)
id_filter: ListFilterTuple = (UUID_COLUMN, ListOp.IN, ['1', '2'])
result = dataset.select_rows(filters=[id_filter])
assert list(result) == [{
UUID_COLUMN: '1',
'str': 'a',
'int': 1,
'bool': False,
'float': 3.0
}, {
UUID_COLUMN: '2',
'str': 'b',
'int': 2,
'bool': True,
'float': 2.0
}]
def test_filter_by_exists(make_test_data: TestDataMaker) -> None:
items: list[Item] = [{
UUID_COLUMN: '1',
'name': 'A',
'info': {
'lang': 'en'
},
'ages': []
}, {
UUID_COLUMN: '2',
'info': {
'lang': 'fr'
},
}, {
UUID_COLUMN: '3',
'name': 'C',
'ages': [[1, 2], [3, 4]]
}]
dataset = make_test_data(
items,
schema=schema({
UUID_COLUMN: 'string',
'name': 'string',
'info': {
'lang': 'string'
},
'ages': [['int32']]
}))
exists_filter = ('name', UnaryOp.EXISTS)
result = dataset.select_rows(['name'], filters=[exists_filter])
assert list(result) == [{UUID_COLUMN: '1', 'name': 'A'}, {UUID_COLUMN: '3', 'name': 'C'}]
exists_filter = ('info.lang', UnaryOp.EXISTS)
result = dataset.select_rows(['name'], filters=[exists_filter])
assert list(result) == [{UUID_COLUMN: '1', 'name': 'A'}, {UUID_COLUMN: '2', 'name': None}]
exists_filter = ('ages.*.*', UnaryOp.EXISTS)
result = dataset.select_rows(['name'], filters=[exists_filter])
assert list(result) == [{UUID_COLUMN: '3', 'name': 'C'}]
with pytest.raises(ValueError, match='Unable to filter on path'):
dataset.select_rows(['name'], filters=[('info', UnaryOp.EXISTS)])
|