Expose saved queries in MFEngine

metricflow/engine/metricflow_engine.py

@@ -27,7 +27,7 @@
 from metricflow.dataset.convert_semantic_model import SemanticModelToDataSetConverter
 from metricflow.dataset.dataset import DataSet
 from metricflow.dataset.semantic_model_adapter import SemanticModelDataSet
-from metricflow.engine.models import Dimension, Entity, Measure, Metric
+from metricflow.engine.models import Dimension, Entity, Measure, Metric, SavedQuery
 from metricflow.engine.time_source import ServerTimeSource
 from metricflow.errors.errors import ExecutionException
 from metricflow.execution.execution_plan import ExecutionPlan, SqlQuery
@@ -679,6 +679,13 @@ def list_metrics(self) -> List[Metric]:  # noqa: D
             for metric in metrics
         ]
 
+    @log_call(module_name=__name__, telemetry_reporter=_telemetry_reporter)
+    def list_saved_queries(self) -> List[SavedQuery]:  # noqa: D
+        return [
+            SavedQuery.from_pydantic(saved_query)
+            for saved_query in self._semantic_manifest_lookup.semantic_manifest.saved_queries
+        ]
+
     @log_call(module_name=__name__, telemetry_reporter=_telemetry_reporter)
     def get_dimension_values(  # noqa: D
         self,

metricflow/engine/models.py

@@ -16,6 +16,12 @@
 from dbt_semantic_interfaces.protocols.metadata import Metadata
 from dbt_semantic_interfaces.protocols.metric import Metric as SemanticManifestMetric
 from dbt_semantic_interfaces.protocols.metric import MetricInputMeasure, MetricType, MetricTypeParams
+from dbt_semantic_interfaces.protocols.saved_query import (
+    SavedQuery as SemanticManifestSavedQuery,
+)
+from dbt_semantic_interfaces.protocols.saved_query import (
+    SavedQueryQueryParams,
+)
 from dbt_semantic_interfaces.protocols.where_filter import WhereFilterIntersection
 from dbt_semantic_interfaces.transformations.add_input_metric_measures import AddInputMetricMeasuresRule
 from dbt_semantic_interfaces.type_enums.aggregation_type import AggregationType
@@ -144,3 +150,25 @@ class Measure:
     description: Optional[str] = None
     expr: Optional[str] = None
     agg_params: Optional[MeasureAggregationParameters] = None
+
+
+@dataclass(frozen=True)
+class SavedQuery:
+    """Dataclass representation of a SavedQuery."""
+
+    name: str
+    description: Optional[str]
+    label: Optional[str]
+    query_params: SavedQueryQueryParams
+    metadata: Optional[Metadata]
+
+    @classmethod
+    def from_pydantic(cls, pydantic_saved_query: SemanticManifestSavedQuery) -> SavedQuery:
+        """Build from pydantic SavedQuery object."""
+        return cls(
+            name=pydantic_saved_query.name,
+            description=pydantic_saved_query.description,
+            label=pydantic_saved_query.label,
+            query_params=pydantic_saved_query.query_params,
+            metadata=pydantic_saved_query.metadata,
+        )