Bump version

dbt_semantic_interfaces/transformations/pydantic_rule_set.py

@@ -20,9 +20,6 @@
 from dbt_semantic_interfaces.transformations.cumulative_type_params import (
     SetCumulativeTypeParamsRule,
 )
-from dbt_semantic_interfaces.transformations.metric_time_granularity import (
-    SetMetricTimeGranularityRule,
-)
 from dbt_semantic_interfaces.transformations.names import LowerCaseNamesRule
 from dbt_semantic_interfaces.transformations.proxy_measure import CreateProxyMeasureRule
 from dbt_semantic_interfaces.transformations.rule_set import (
@@ -57,7 +54,6 @@ def secondary_rules(self) -> Sequence[SemanticManifestTransformRule[PydanticSema
             ConvertMedianToPercentileRule(),
             AddInputMetricMeasuresRule(),
             SetCumulativeTypeParamsRule(),
-            SetMetricTimeGranularityRule(),
         )
 
     @property

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "dbt-semantic-interfaces"
-version = "0.6.6"
+version = "0.6.7"
 description = 'The shared semantic layer definitions that dbt-core and MetricFlow use'
 readme = "README.md"
 requires-python = ">=3.8"

tests/transformations/test_configurable_transform_rules.py

@@ -1,18 +1,12 @@
-from typing import Dict
-
 from dbt_semantic_interfaces.implementations.semantic_manifest import (
     PydanticSemanticManifest,
 )
-from dbt_semantic_interfaces.transformations.metric_time_granularity import (
-    SetMetricTimeGranularityRule,
-)
 from dbt_semantic_interfaces.transformations.semantic_manifest_transformer import (
     PydanticSemanticManifestTransformer,
 )
 from dbt_semantic_interfaces.transformations.transform_rule import (
     SemanticManifestTransformRule,
 )
-from dbt_semantic_interfaces.type_enums import TimeGranularity
 
 
 class SliceNamesRule(SemanticManifestTransformRule):
@@ -38,32 +32,3 @@ def test_can_configure_model_transform_rules(  # noqa: D
     rules = [SliceNamesRule()]
     transformed_model = PydanticSemanticManifestTransformer.transform(pre_model, ordered_rule_sequences=(rules,))
     assert all(len(x.name) == 3 for x in transformed_model.semantic_models)
-
-
-def test_set_time_granularity_rule(  # noqa: D
-    simple_semantic_manifest__with_primary_transforms: PydanticSemanticManifest,
-) -> None:
-    pre_model = simple_semantic_manifest__with_primary_transforms
-
-    metric_exists_without_time_granularity = False
-    configured_default_granularities: Dict[str, TimeGranularity] = {}
-    for metric in pre_model.metrics:
-        if metric.time_granularity:
-            configured_default_granularities[metric.name] = metric.time_granularity
-            metric_exists_without_time_granularity = True
-
-    assert (
-        pre_model.metrics and metric_exists_without_time_granularity
-    ), "If there are no metrics without a configured time_granularity, this tests nothing."
-
-    rules = [SetMetricTimeGranularityRule()]
-    transformed_model = PydanticSemanticManifestTransformer.transform(pre_model, ordered_rule_sequences=(rules,))
-
-    for metric in transformed_model.metrics:
-        assert metric.time_granularity, f"No time_granularity set in transformation for metric '{metric.name}'"
-        if metric.name in configured_default_granularities:
-            assert (
-                metric.time_granularity == configured_default_granularities[metric.name]
-            ), f"Time granularity was unexpected changed during transformation for metric '{metric.name}"
-        if metric.name == "monthly_times_yearly_bookings":
-            assert metric.time_granularity == TimeGranularity.YEAR