Source code for apache_beam.runners.direct.transform_result

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"""The result of evaluating an AppliedPTransform with a TransformEvaluator."""

from __future__ import absolute_import


class TransformResult(object):
  """For internal use only; no backwards-compatibility guarantees.

  The result of evaluating an AppliedPTransform with a TransformEvaluator."""

  def __init__(self, applied_ptransform, uncommitted_output_bundles, state,
               timer_update, counters, watermark_hold,
               undeclared_tag_values=None):
    self.transform = applied_ptransform
    self.uncommitted_output_bundles = uncommitted_output_bundles
    self.state = state
    # TODO: timer update is currently unused.
    self.timer_update = timer_update
    self.counters = counters
    self.watermark_hold = watermark_hold
    # Only used when caching (materializing) all values is requested.
    self.undeclared_tag_values = undeclared_tag_values
    # Populated by the TransformExecutor.
    self.logical_metric_updates = None