def aggregate_video_cluster_metrics(responses, metrics, info=None):
    """Aggregates the video cluster metrics with one step responses.

  Args:
    responses: a dictionary of names, observed responses.
    metrics: A dictionary mapping from metric_name to its value in float.
    info: Additional info for computing metrics (ignored here)

  Returns:
    A dictionary storing metrics after aggregation.
  """
    del info
    is_clicked = False
    metrics['impression'] += 1
    for response in responses:
        if not response['click']:
            continue
        is_clicked = True
        metrics['click'] += 1
        metrics['quality'] += response['quality']
        cluster_id = response['cluster_id']
        metrics['cluster_watch_count_cluster_%d' % cluster_id] += 1
    if not is_clicked:
        metrics['cluster_watch_count_no_click'] += 1
    return metrics
