def to_table(metrics):
  """ normalize raw metrics API result to table """
  all_queries = tracker_access.metric_queries()
  m = tracker_access.queries_map()
  names = metrics.values()[0].keys()
  stats = []
  for n in names:
    info = [n]
    for field in all_queries:
      try:
        info.append(str(metrics[field][n]))
      except KeyError:
        pass
    stats.append(info)
  header = ['container id'] + [m[k] for k in all_queries if k in metrics.keys()]
  return stats, header
def to_table(metrics):
  """ normalize raw metrics API result to table """
  all_queries = tracker_access.metric_queries()
  m = tracker_access.queries_map()
  names = metrics.values()[0].keys()
  stats = []
  for n in names:
    info = [n]
    for field in all_queries:
      try:
        info.append(str(metrics[field][n]))
      except KeyError:
        pass
    stats.append(info)
  header = ['container id'] + [m[k] for k in all_queries if k in metrics.keys()]
  return stats, header
def to_table ( metrics ) : all_queries = tracker_access . metric_queries ( ) m = tracker_access . queries_map ( ) names = metrics . values ( ) [ 0 ] . keys ( ) stats = [ ] for n in names : info = [ n ] for field in all_queries : try : info . append ( str ( metrics [ field ] [ n ] ) ) except KeyError : pass stats . append ( info ) header = [ 'container id' ] + [ m [ k ] for k in all_queries if k in metrics . keys ( ) ] return stats , header
normalize raw metrics API result to table
normalize raw metrics API result to table