class_docstr: Builds a dataflow plan to satisfy a given query.
class_docstr_tok: ["Builds","a","dataflow","plan","to","satisfy","a","given","query","."]
docstr: Returns a node where the measures are aggregated by the linkable specs and constrained appropriately.
  
  This might be a node representing a single aggregation over one semantic model, or a node representing
  a composite set of aggregations originating from multiple semantic models, and joined into a single
  aggregated set of measures.
docstr_tok: ["Returns","a","node","where","the","measures","are","aggregated","by","the","linkable","specs","and","constrained","appropriately",".","This","might","be","a","node","representing","a","single","aggregation","over","one","semantic","model",",","or","a","node","representing","a","composite","set","of","aggregations","originating","from","multiple","semantic","models",",","and","joined","into","a","single","aggregated","set","of","measures","."]
code: def build_aggregated_measure(
      self,
      metric_input_measure_spec: MetricInputMeasureSpec,
      queried_linkable_specs: LinkableSpecSet,
      time_range_constraint: Optional[TimeRangeConstraint] = None,
      measure_recipe: Optional[DataflowRecipe] = None,
  ) -> BaseOutput:
      """Returns a node where the measures are aggregated by the linkable specs and constrained appropriately.
  
      This might be a node representing a single aggregation over one semantic model, or a node representing
      a composite set of aggregations originating from multiple semantic models, and joined into a single
      aggregated set of measures.
      """
      measure_spec = metric_input_measure_spec.measure_spec
  
      logger.info(
          f"Building aggregated measure: {measure_spec} with input measure filters:\n"
          f"{mf_pformat(metric_input_measure_spec.filter_specs)}\n"
          f"and  filters:\n{mf_pformat(metric_input_measure_spec.filter_specs)}"
      )
  
      return self._build_aggregated_measure_from_measure_source_node(
          metric_input_measure_spec=metric_input_measure_spec,
          queried_linkable_specs=queried_linkable_specs,
          time_range_constraint=time_range_constraint,
          measure_recipe=measure_recipe,
      )
  
imports: from __future__ import annotations
  import logging
  import time
  from dataclasses import dataclass
  from typing import Dict, List, Optional, Sequence, Set, Tuple, Union
  from dbt_semantic_interfaces.enum_extension import assert_values_exhausted
  from dbt_semantic_interfaces.implementations.metric import PydanticMetricTimeWindow
  from dbt_semantic_interfaces.pretty_print import pformat_big_objects
  from dbt_semantic_interfaces.protocols.metric import ConstantPropertyInput, ConversionTypeParams, MetricInputMeasure, MetricTimeWindow, MetricType
  from dbt_semantic_interfaces.references import MeasureReference, MetricReference, TimeDimensionReference
  from dbt_semantic_interfaces.type_enums.time_granularity import TimeGranularity
  from dbt_semantic_interfaces.validations.unique_valid_name import MetricFlowReservedKeywords
  from metricflow.dag.id_generation import DATAFLOW_PLAN_PREFIX, IdGeneratorRegistry
  from metricflow.dataflow.builder.node_data_set import DataflowPlanNodeOutputDataSetResolver
  from metricflow.dataflow.builder.node_evaluator import JoinLinkableInstancesRecipe, LinkableInstanceSatisfiabilityEvaluation, NodeEvaluatorForLinkableInstances
  from metricflow.dataflow.dataflow_plan import AddGeneratedUuidColumnNode, AggregateMeasuresNode, BaseOutput, CombineAggregatedOutputsNode, ComputeMetricsNode, ConstrainTimeRangeNode, DataflowPlan, FilterElementsNode, JoinConversionEventsNode, JoinDescription, JoinOverTimeRangeNode, JoinToBaseOutputNode, JoinToTimeSpineNode, MinMaxNode, OrderByLimitNode, ReadSqlSourceNode, SemiAdditiveJoinNode, SinkOutput, WhereConstraintNode, WriteToResultDataframeNode, WriteToResultTableNode
  from metricflow.dataflow.dataflow_plan_to_text import dataflow_dag_as_text
  from metricflow.dataflow.optimizer.dataflow_plan_optimizer import DataflowPlanOptimizer
  from metricflow.dataflow.sql_table import SqlTable
  from metricflow.dataset.dataset import DataSet
  from metricflow.errors.errors import UnableToSatisfyQueryError
  from metricflow.filters.time_constraint import TimeRangeConstraint
  from metricflow.mf_logging.pretty_print import mf_pformat
  from metricflow.mf_logging.runtime import log_runtime
  from metricflow.model.semantic_manifest_lookup import SemanticManifestLookup
  from metricflow.plan_conversion.column_resolver import DunderColumnAssociationResolver
  from metricflow.plan_conversion.node_processor import PreJoinNodeProcessor
  from metricflow.query.group_by_item.filter_spec_resolution.filter_location import WhereFilterLocation
  from metricflow.query.group_by_item.filter_spec_resolution.filter_spec_lookup import FilterSpecResolutionLookUp
  from metricflow.specs.column_assoc import ColumnAssociationResolver
  from metricflow.specs.specs import ConstantPropertySpec, CumulativeMeasureDescription, EntitySpec, InstanceSpecSet, JoinToTimeSpineDescription, LinkableInstanceSpec, LinkableSpecSet, LinklessEntitySpec, MeasureSpec, MetadataSpec, MetricFlowQuerySpec, MetricInputMeasureSpec, MetricSpec, NonAdditiveDimensionSpec, OrderBySpec, TimeDimensionSpec, WhereFilterSpec
  from metricflow.specs.where_filter_transform import WhereSpecFactory
  from metricflow.sql.sql_plan import SqlJoinType
label_desc: Use image node_id 25 for calling the DataflowPlanBuilder obj's underlying member method code with example usage: obj.build_aggregated_measure(metric_input_measure_spec, queried_linkable_specs, time_range_constraint, measure_recipe) and returns: self