class_docstr: Builds a dataflow plan to satisfy a given query.
class_docstr_tok: ["Builds","a","dataflow","plan","to","satisfy","a","given","query","."]
docstr: Builds a compute metric node for a conversion metric.
docstr_tok: ["Builds","a","compute","metric","node","for","a","conversion","metric","."]
code: def _build_conversion_metric_output_node(
      self,
      metric_spec: MetricSpec,
      queried_linkable_specs: LinkableSpecSet,
      filter_spec_factory: WhereSpecFactory,
      time_range_constraint: Optional[TimeRangeConstraint] = None,
  ) -> ComputeMetricsNode:
      """Builds a compute metric node for a conversion metric."""
      metric_reference = metric_spec.reference
      metric = self._metric_lookup.get_metric(metric_reference)
      conversion_type_params = metric.type_params.conversion_type_params
      assert (
          conversion_type_params
      ), "A conversion metric should have type_params.conversion_type_params defined."
      (
          base_measure,
          conversion_measure,
      ) = self._build_input_measure_specs_for_conversion_metric(
          metric_reference=metric_spec.reference,
          conversion_type_params=conversion_type_params,
          filter_spec_factory=filter_spec_factory,
          descendent_filter_specs=metric_spec.filter_specs,
      )
      entity_spec = EntitySpec.from_name(conversion_type_params.entity)
      logger.info(
          f"For conversion metric {metric_spec},\n"
          f"base_measure is:\n{pformat_big_objects(base_measure=base_measure)}\n"
          f"conversion_measure is:\n{pformat_big_objects(conversion_measure=conversion_measure)}\n"
          f"entity is:\n{pformat_big_objects(entity_spec=entity_spec)}"
      )
  
      aggregated_measures_node = self._build_aggregated_conversion_node(
          base_measure_spec=base_measure,
          conversion_measure_spec=conversion_measure,
          queried_linkable_specs=queried_linkable_specs,
          time_range_constraint=time_range_constraint,
          entity_spec=entity_spec,
          window=conversion_type_params.window,
          constant_properties=conversion_type_params.constant_properties,
      )
  
      return self.build_computed_metrics_node(
          metric_spec=metric_spec,
          aggregated_measures_node=aggregated_measures_node,
      )
  
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 5 for calling the DataflowPlanBuilder obj's underlying member method code with example usage: obj._build_conversion_metric_output_node(metric_spec, queried_linkable_specs, filter_spec_factory, time_range_constraint) and returns: self