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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_status_tree(root_pipeline_id):
 """Gets the full status tree of a pipeline. Args: root_pipeline_id: The pipeline ID to get status for. Returns: Dictionary with the keys: rootPipelineId: The ID of the root pipeline. slots: Mapping of slot IDs to result of from _get_internal_slot. pipelines: Mapping of pipeline IDs to result of _get_internal_status. Raises: PipelineStatusError if any input is bad. """

  root_pipeline_key = db.Key.from_path(_PipelineRecord.kind(), root_pipeline_id)
  root_pipeline_record = db.get(root_pipeline_key)
  if root_pipeline_record is None:
    raise PipelineStatusError(
        'Could not find pipeline ID "%s"' % root_pipeline_id)

  # If the supplied root_pipeline_id is not actually the root pipeline that's
  # okay. We'll find the real root and override the value they passed in.
  actual_root_key = _PipelineRecord.root_pipeline.get_value_for_datastore(
      root_pipeline_record)
  if actual_root_key != root_pipeline_key:
    root_pipeline_key = actual_root_key
    root_pipeline_id = root_pipeline_key.id_or_name()
    root_pipeline_record = db.get(root_pipeline_key)
    if not root_pipeline_record:
      raise PipelineStatusError(
          'Could not find pipeline ID "%s"' % root_pipeline_id)

  # Run all queries asynchronously.
  queries = {}
  for model in (_PipelineRecord, _SlotRecord, _BarrierRecord, _StatusRecord):
    queries[model] = model.all().filter(
        'root_pipeline =', root_pipeline_key).run(batch_size=1000)

  found_pipeline_dict = dict(
      (stage.key(), stage) for stage in queries[_PipelineRecord])
  found_slot_dict = dict(
      (slot.key(), slot) for slot in queries[_SlotRecord])
  found_barrier_dict = dict(
      (barrier.key(), barrier) for barrier in queries[_BarrierRecord])
  found_status_dict = dict(
      (status.key(), status) for status in queries[_StatusRecord])

  # Breadth-first traversal of _PipelineRecord instances by following
  # _PipelineRecord.fanned_out property values.
  valid_pipeline_keys = set([root_pipeline_key])
  slot_filler_dict = {}  # slot_key to pipeline_key
  expand_stack = [root_pipeline_record]
  while expand_stack:
    old_stack = expand_stack
    expand_stack = []
    for pipeline_record in old_stack:
      for child_pipeline_key in pipeline_record.fanned_out:
        # This will let us prune off those pipelines which were allocated in
        # the Datastore but were never run due to mid-flight task failures.
        child_pipeline_record = found_pipeline_dict.get(child_pipeline_key)
        if child_pipeline_record is None:
          raise PipelineStatusError(
              'Pipeline ID "%s" points to child ID "%s" which does not exist.'
              % (pipeline_record.key().name(), child_pipeline_key.name()))
        expand_stack.append(child_pipeline_record)
        valid_pipeline_keys.add(child_pipeline_key)

        # Figure out the deepest pipeline that's responsible for outputting to
        # a particular _SlotRecord, so we can report which pipeline *should*
        # be the filler.
        child_outputs = child_pipeline_record.params['output_slots']
        for output_slot_key in child_outputs.itervalues():
          slot_filler_dict[db.Key(output_slot_key)] = child_pipeline_key

  output = {
    'rootPipelineId': root_pipeline_id,
    'slots': {},
    'pipelines': {},
  }

  for pipeline_key in found_pipeline_dict.keys():
    if pipeline_key not in valid_pipeline_keys:
      continue
    output['pipelines'][pipeline_key.name()] = _get_internal_status(
        pipeline_key=pipeline_key,
        pipeline_dict=found_pipeline_dict,
        slot_dict=found_slot_dict,
        barrier_dict=found_barrier_dict,
        status_dict=found_status_dict)

  for slot_key, filler_pipeline_key in slot_filler_dict.iteritems():
    output['slots'][str(slot_key)] = _get_internal_slot(
        slot_key=slot_key,
        filler_pipeline_key=filler_pipeline_key,
        slot_dict=found_slot_dict)

  return output