Add interface for SavedQueryDependencyResolver.

metricflow-semantics/metricflow_semantics/api/v0_1/saved_query_dependency_resolver.py

@@ -0,0 +1,46 @@
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Optional, Tuple
+
+from dbt_semantic_interfaces.protocols import SemanticManifest
+from dbt_semantic_interfaces.references import (
+    SemanticModelReference,
+)
+
+
+@dataclass(frozen=True)
+class SavedQueryDependencySet:
+    """The dependencies of a saved query.
+
+    The primary use case is to handle creation of the cache item associated with the saved query. The dependencies
+    listed in this class must be up-to-date before the cache associated with the saved query can be created. Otherwise,
+    running the export / creating the cache may create a cache item that is out-of-date / unusable.
+    """
+
+    # A human-readable description for logging purposes.
+    description: Optional[str]
+    # The semantic models that the saved query depends on.
+    semantic_model_references: Tuple[SemanticModelReference, ...]
+
+
+class SavedQueryDependencyResolver:
+    """Resolves the dependencies of a saved query. Also see `SavedQueryDependencySet`."""
+
+    def __init__(self, semantic_manifest: SemanticManifest) -> None:  # noqa: D107
+        self._semantic_manifest = semantic_manifest
+
+    def resolve_dependencies(self, saved_query_name: str) -> SavedQueryDependencySet:
+        """Return the dependencies of the given saved query in the manifest."""
+        return SavedQueryDependencySet(
+            description=(
+                f"Dependencies for saved query {repr(saved_query_name)} include all semantic "
+                f"models as a temporary result until the complete implementation is in place."
+            ),
+            semantic_model_references=tuple(
+                sorted(
+                    (semantic_model.reference for semantic_model in self._semantic_manifest.semantic_models),
+                    key=lambda reference: reference.semantic_model_name,
+                )
+            ),
+        )

metricflow-semantics/tests_metricflow_semantics/api/v0_1/test_saved_query_dependency_resolver.py

@@ -0,0 +1,35 @@
+from __future__ import annotations
+
+import pytest
+from dbt_semantic_interfaces.implementations.semantic_manifest import (
+    PydanticSemanticManifest,
+)
+from dbt_semantic_interfaces.references import (
+    SemanticModelReference,
+)
+from metricflow_semantics.api.v0_1.saved_query_dependency_resolver import SavedQueryDependencyResolver
+
+
+@pytest.fixture(scope="session")
+def resolver(  # noqa: D103
+    simple_semantic_manifest: PydanticSemanticManifest,
+) -> SavedQueryDependencyResolver:
+    return SavedQueryDependencyResolver(simple_semantic_manifest)
+
+
+def test_saved_query_dependency_resolver(resolver: SavedQueryDependencyResolver) -> None:  # noqa: D103
+    dependency_set = resolver.resolve_dependencies("p0_booking")
+    assert tuple(dependency_set.semantic_model_references) == (
+        SemanticModelReference(semantic_model_name="accounts_source"),
+        SemanticModelReference(semantic_model_name="bookings_source"),
+        SemanticModelReference(semantic_model_name='buys_source'),
+        SemanticModelReference(semantic_model_name="companies"),
+        SemanticModelReference(semantic_model_name="id_verifications"),
+        SemanticModelReference(semantic_model_name="listings_latest"),
+        SemanticModelReference(semantic_model_name="lux_listing_mapping"),
+        SemanticModelReference(semantic_model_name="revenue"),
+        SemanticModelReference(semantic_model_name="users_ds_source"),
+        SemanticModelReference(semantic_model_name="users_latest"),
+        SemanticModelReference(semantic_model_name='views_source'),
+        SemanticModelReference(semantic_model_name='visits_source'),
+    )