-
Notifications
You must be signed in to change notification settings - Fork 14
/
Copy pathtest_implements_satisfy_protocols.py
304 lines (241 loc) · 10 KB
/
test_implements_satisfy_protocols.py
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
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
from typing import List, Protocol, runtime_checkable
from hypothesis import given
from hypothesis.strategies import booleans, builds, from_type, just, lists, none, text
from dbt_semantic_interfaces.implementations.element_config import (
PydanticSemanticLayerElementConfig,
)
from dbt_semantic_interfaces.implementations.elements.dimension import (
PydanticDimension,
PydanticDimensionTypeParams,
PydanticDimensionValidityParams,
)
from dbt_semantic_interfaces.implementations.elements.entity import PydanticEntity
from dbt_semantic_interfaces.implementations.elements.measure import (
PydanticMeasure,
PydanticMeasureAggregationParameters,
PydanticNonAdditiveDimensionParameters,
)
from dbt_semantic_interfaces.implementations.export import PydanticExport
from dbt_semantic_interfaces.implementations.filters.where_filter import (
PydanticWhereFilter,
)
from dbt_semantic_interfaces.implementations.metadata import PydanticMetadata
from dbt_semantic_interfaces.implementations.metric import (
PydanticConversionTypeParams,
PydanticMetric,
PydanticMetricInput,
PydanticMetricInputMeasure,
PydanticMetricTypeParams,
)
from dbt_semantic_interfaces.implementations.project_configuration import (
PydanticProjectConfiguration,
)
from dbt_semantic_interfaces.implementations.saved_query import (
PydanticSavedQuery,
PydanticSavedQueryQueryParams,
)
from dbt_semantic_interfaces.implementations.semantic_manifest import (
PydanticSemanticManifest,
)
from dbt_semantic_interfaces.implementations.semantic_model import PydanticSemanticModel
from dbt_semantic_interfaces.implementations.time_spine_table_configuration import (
PydanticTimeSpineTableConfiguration,
)
from dbt_semantic_interfaces.protocols import Dimension as DimensionProtocol
from dbt_semantic_interfaces.protocols import Entity as EntityProtocol
from dbt_semantic_interfaces.protocols import Measure as MeasureProtocol
from dbt_semantic_interfaces.protocols import Metadata as MetadataProtocol
from dbt_semantic_interfaces.protocols import Metric as MetricProtocol
from dbt_semantic_interfaces.protocols import SavedQuery as SavedQueryProtocol
from dbt_semantic_interfaces.protocols import (
SemanticManifest as SemanticManifestProtocol,
)
from dbt_semantic_interfaces.protocols import SemanticModel as SemanticModelProtocol
from dbt_semantic_interfaces.protocols.time_spine_configuration import (
TimeSpineTableConfiguration as TimeSpineTableConfigurationProtocol,
)
from dbt_semantic_interfaces.type_enums import DimensionType, MetricType
OPTIONAL_STR_STRATEGY = text() | none()
OPTIONAL_METADATA_STRATEGY = builds(PydanticMetadata) | none()
CATEGORICAL_DIMENSION_STRATEGY = builds(
PydanticDimension,
description=OPTIONAL_STR_STRATEGY,
type=just(DimensionType.CATEGORICAL),
expr=OPTIONAL_STR_STRATEGY,
metadata=OPTIONAL_METADATA_STRATEGY,
label=OPTIONAL_STR_STRATEGY,
config=builds(PydanticSemanticLayerElementConfig),
)
DIMENSION_VALIDITY_PARAMS_STRATEGY = builds(
PydanticDimensionValidityParams,
is_start=just(False),
is_end=just(False),
)
TIME_DIMENSION_STRATEGY = builds(
PydanticDimension,
description=OPTIONAL_STR_STRATEGY,
type=just(DimensionType.TIME),
type_params=builds(PydanticDimensionTypeParams) | none(),
expr=OPTIONAL_STR_STRATEGY,
metadata=OPTIONAL_METADATA_STRATEGY,
label=OPTIONAL_STR_STRATEGY,
config=builds(PydanticSemanticLayerElementConfig),
)
DIMENSION_STRATEGY = TIME_DIMENSION_STRATEGY | CATEGORICAL_DIMENSION_STRATEGY
ENTITY_STRATEGY = builds(
PydanticEntity,
description=OPTIONAL_STR_STRATEGY,
role=OPTIONAL_STR_STRATEGY,
expr=OPTIONAL_STR_STRATEGY,
metadata=OPTIONAL_METADATA_STRATEGY,
label=OPTIONAL_STR_STRATEGY,
config=builds(PydanticSemanticLayerElementConfig),
)
MEASURE_STRATEGY = builds(
PydanticMeasure,
description=OPTIONAL_STR_STRATEGY,
create_metric=booleans() | none(),
expr=OPTIONAL_STR_STRATEGY,
agg_params=builds(PydanticMeasureAggregationParameters) | none(),
non_additive_dimesnion=builds(PydanticNonAdditiveDimensionParameters) | none(),
agg_time_dimension=OPTIONAL_STR_STRATEGY,
label=OPTIONAL_STR_STRATEGY,
config=builds(PydanticSemanticLayerElementConfig),
)
SEMANTIC_MODEL_STRATEGY = builds(
PydanticSemanticModel,
dimensions=lists(DIMENSION_STRATEGY),
entities=lists(ENTITY_STRATEGY),
measures=lists(MEASURE_STRATEGY),
)
SIMPLE_METRIC_STRATEGY = builds(
PydanticMetric,
description=OPTIONAL_STR_STRATEGY,
type=just(MetricType.SIMPLE),
type_params=builds(PydanticMetricTypeParams, measure=builds(PydanticMetricInputMeasure)),
filter=builds(PydanticWhereFilter) | none(),
metadata=OPTIONAL_METADATA_STRATEGY,
label=OPTIONAL_STR_STRATEGY,
config=builds(PydanticSemanticLayerElementConfig),
)
SAVED_QUERY_STRATEGY = builds(
PydanticSavedQuery,
query_params=builds(PydanticSavedQueryQueryParams),
where=from_type(List[PydanticWhereFilter]),
description=OPTIONAL_STR_STRATEGY,
metadata=OPTIONAL_METADATA_STRATEGY,
label=OPTIONAL_STR_STRATEGY,
exports=from_type(List[PydanticExport]),
)
@runtime_checkable
class RuntimeCheckableSemanticManifest(SemanticManifestProtocol, Protocol):
"""We don't want runtime_checkable versions of protocols in the package, but we want them for tests."""
pass
@given(
builds(
PydanticSemanticManifest,
semantic_models=lists(SEMANTIC_MODEL_STRATEGY),
metrics=lists(SIMPLE_METRIC_STRATEGY),
saved_queries=lists(SAVED_QUERY_STRATEGY),
project_configuration=builds(PydanticProjectConfiguration),
)
)
def test_semantic_manifest_protocol(semantic_manifest: PydanticSemanticManifest) -> None: # noqa: D
assert isinstance(semantic_manifest, RuntimeCheckableSemanticManifest)
@runtime_checkable
class RuntimeCheckableSemanticModel(SemanticModelProtocol, Protocol):
"""We don't want runtime_checkable versions of protocols in the package, but we want them for tests."""
pass
@given(SEMANTIC_MODEL_STRATEGY)
def test_semantic_model_protocol(semantic_model: PydanticSemanticModel) -> None: # noqa: D
assert isinstance(semantic_model, RuntimeCheckableSemanticModel)
@runtime_checkable
class RuntimeCheckableMetric(MetricProtocol, Protocol):
"""We don't want runtime_checkable versions of protocols in the package, but we want them for tests."""
pass
@given(SIMPLE_METRIC_STRATEGY)
def test_metric_protocol_simple(metric: PydanticMetric) -> None: # noqa: D
assert isinstance(metric, RuntimeCheckableMetric)
@given(
builds(
PydanticMetric,
type=just(MetricType.RATIO),
type_params=builds(
PydanticMetricTypeParams,
numerator=builds(PydanticMetricInput),
denominator=builds(PydanticMetricInput),
),
)
)
def test_metric_protocol_ratio(metric: PydanticMetric) -> None: # noqa: D
assert isinstance(metric, RuntimeCheckableMetric)
@given(
builds(
PydanticMetric,
type=just(MetricType.DERIVED),
type_params=builds(PydanticMetricTypeParams, metrics=lists(builds(PydanticMetricInput))),
expr=builds(str),
)
)
def test_metric_protocol_derived(metric: PydanticMetric) -> None: # noqa: D
assert isinstance(metric, RuntimeCheckableMetric)
@given(
builds(
PydanticMetric,
type=just(MetricType.CONVERSION),
type_params=builds(
PydanticMetricTypeParams,
conversion_type_params=builds(
PydanticConversionTypeParams,
base_measure=builds(PydanticMetricInputMeasure),
conversion_measure=builds(PydanticMetricInputMeasure),
entity=builds(str),
),
),
expr=builds(str),
)
)
def test_metric_protocol_conversion(metric: PydanticMetric) -> None: # noqa: D
assert isinstance(metric, RuntimeCheckableMetric)
@runtime_checkable
class RuntimeCheckableEntity(EntityProtocol, Protocol):
"""We don't want runtime_checkable versions of protocols in the package, but we want them for tests."""
pass
@given(ENTITY_STRATEGY)
def test_entity_protocol(entity: PydanticEntity) -> None: # noqa: D
assert isinstance(entity, RuntimeCheckableEntity)
@runtime_checkable
class RuntimeCheckableMeasure(MeasureProtocol, Protocol):
"""We don't want runtime_checkable versions of protocols in the package, but we want them for tests."""
pass
@given(MEASURE_STRATEGY)
def test_measure_protocol(measure: PydanticMeasure) -> None: # noqa: D
assert isinstance(measure, RuntimeCheckableMeasure)
@runtime_checkable
class RuntimeCheckableDimension(DimensionProtocol, Protocol):
"""We don't want runtime_checkable versions of protocols in the package, but we want them for tests."""
pass
@given(DIMENSION_STRATEGY)
def test_dimension_protocol(dimension: PydanticDimension) -> None: # noqa: D
assert isinstance(dimension, RuntimeCheckableDimension)
@runtime_checkable
class RuntimeCheckableMetadata(MetadataProtocol, Protocol):
"""We don't want runtime_checkable versions of protocols in the package, but we want them for tests."""
pass
@given(builds(PydanticMetadata))
def test_metadata_protocol(metadata: PydanticMetadata) -> None: # noqa: D
assert isinstance(metadata, RuntimeCheckableMetadata)
@runtime_checkable
class RuntimeCheckableSavedQuery(SavedQueryProtocol, Protocol):
"""We don't want runtime_checkable versions of protocols in the package, but we want them for tests."""
pass
@given(SAVED_QUERY_STRATEGY)
def test_saved_query_protocol(saved_query: PydanticSavedQuery) -> None: # noqa: D
assert isinstance(saved_query, RuntimeCheckableSavedQuery)
@runtime_checkable
class RuntimeCheckableTimeSpineConfiguration(TimeSpineTableConfigurationProtocol, Protocol):
"""We don't want runtime_checkable versions of protocols in the package, but we want them for tests."""
pass
@given(builds(PydanticTimeSpineTableConfiguration))
def test_time_spine_table_configuration_protocol(time_spine: PydanticTimeSpineTableConfiguration) -> None: # noqa: D
assert isinstance(time_spine, RuntimeCheckableTimeSpineConfiguration)