Make pattern classes dataclasses

metricflow-semantics/metricflow_semantics/query/query_resolver.py

@@ -157,7 +157,7 @@ def _resolve_group_by_item_input(
             input_str=str(group_by_item_input.input_obj),
             candidate_filters=QueryItemSuggestionGenerator.GROUP_BY_ITEM_CANDIDATE_FILTERS
             + (
-                MatchListSpecPattern(
+                MatchListSpecPattern.create(
                     listed_specs=valid_group_by_item_specs_for_querying,
                 ),
             ),

metricflow-semantics/metricflow_semantics/specs/patterns/match_list_pattern.py

@@ -1,22 +1,27 @@
 from __future__ import annotations
 
-from typing import Sequence
+from dataclasses import dataclass
+from typing import Sequence, Tuple
 
 from typing_extensions import override
 
 from metricflow_semantics.specs.instance_spec import InstanceSpec
 from metricflow_semantics.specs.patterns.spec_pattern import SpecPattern
 
 
+@dataclass(frozen=True)
 class MatchListSpecPattern(SpecPattern):
     """A spec pattern that matches based on a configured list of specs.
 
     This is useful for filtering possible group-by-items to ones valid for a query.
     """
 
-    def __init__(self, listed_specs: Sequence[InstanceSpec]) -> None:  # noqa: D107
-        self._listed_specs = set(listed_specs)
+    listed_specs: Tuple[InstanceSpec, ...]
+
+    @staticmethod
+    def create(listed_specs: Sequence[InstanceSpec]) -> MatchListSpecPattern:  # noqa: D102
+        return MatchListSpecPattern(tuple(listed_specs))
 
     @override
     def match(self, candidate_specs: Sequence[InstanceSpec]) -> Sequence[InstanceSpec]:
-        return tuple(spec for spec in candidate_specs if spec in self._listed_specs)
+        return tuple(spec for spec in candidate_specs if spec in self.listed_specs)

metricflow-semantics/metricflow_semantics/specs/patterns/metric_time_default_granularity.py

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 from collections import defaultdict
+from dataclasses import dataclass
 from typing import Dict, Optional, Sequence, Set, Tuple
 
 from dbt_semantic_interfaces.type_enums import TimeGranularity
@@ -18,6 +19,7 @@
 from metricflow_semantics.time.granularity import ExpandedTimeGranularity
 
 
+@dataclass(frozen=True)
 class MetricTimeDefaultGranularityPattern(SpecPattern):
     """A pattern that matches metric_time specs if they have the default granularity for the requested metrics.
 
@@ -42,21 +44,19 @@ class MetricTimeDefaultGranularityPattern(SpecPattern):
         ]
     """
 
-    def __init__(self, max_metric_default_time_granularity: Optional[TimeGranularity]) -> None:  # noqa: D107
-        self._max_metric_default_time_granularity = max_metric_default_time_granularity
+    max_metric_default_time_granularity: Optional[TimeGranularity]
 
     @override
     def match(self, candidate_specs: Sequence[InstanceSpec]) -> Sequence[InstanceSpec]:
         spec_set = group_specs_by_type(candidate_specs)
-
         # If there are no metric_time specs in the query, skip this filter.
         if not spec_set.metric_time_specs:
             return candidate_specs
 
         # If there are metrics in the query, use max metric default. For no-metric queries, use standard default.
         # TODO: [custom granularity] allow custom granularities to be used as defaults if appropriate
         default_granularity = ExpandedTimeGranularity.from_time_granularity(
-            self._max_metric_default_time_granularity or DEFAULT_TIME_GRANULARITY
+            self.max_metric_default_time_granularity or DEFAULT_TIME_GRANULARITY
         )
 
         spec_key_to_grains: Dict[TimeDimensionSpecComparisonKey, Set[ExpandedTimeGranularity]] = defaultdict(set)

metricflow-semantics/metricflow_semantics/specs/patterns/metric_time_pattern.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+from dataclasses import dataclass
 from typing import Sequence
 
 from dbt_semantic_interfaces.naming.keywords import METRIC_TIME_ELEMENT_NAME
@@ -11,6 +12,7 @@
 from metricflow_semantics.specs.time_dimension_spec import TimeDimensionSpec
 
 
+@dataclass(frozen=True)
 class MetricTimePattern(SpecPattern):
     """Pattern that matches to only metric_time specs.
 

metricflow-semantics/metricflow_semantics/specs/patterns/minimum_time_grain.py

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 from collections import defaultdict
+from dataclasses import dataclass
 from typing import Dict, List, Sequence, Set
 
 from dbt_semantic_interfaces.type_enums import TimeGranularity
@@ -17,6 +18,7 @@
 from metricflow_semantics.time.granularity import ExpandedTimeGranularity
 
 
+@dataclass(frozen=True)
 class MinimumTimeGrainPattern(SpecPattern):
     """A pattern that matches linkable specs, but for time dimension specs, only the one with the finest base grain.
 

metricflow-semantics/metricflow_semantics/specs/patterns/no_group_by_metric.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+from dataclasses import dataclass
 from typing import List, Sequence
 
 from typing_extensions import override
@@ -9,6 +10,7 @@
 from metricflow_semantics.specs.spec_set import group_specs_by_type
 
 
+@dataclass(frozen=True)
 class NoGroupByMetricPattern(SpecPattern):
     """Matches to linkable specs, but only if they're not group by metrics.
 

metricflow-semantics/metricflow_semantics/specs/patterns/none_date_part.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+from dataclasses import dataclass
 from typing import List, Sequence
 
 from typing_extensions import override
@@ -9,6 +10,7 @@
 from metricflow_semantics.specs.spec_set import group_specs_by_type
 
 
+@dataclass(frozen=True)
 class NoneDatePartPattern(SpecPattern):
     """Matches to linkable specs, but for time dimension specs, only matches to ones without date_part.