def create_embedded_plot(model, update_time):
 params = pickle.loads(model.params)
 extra_text = ('Last updated: %s' % update_time)
 if (model.graph_type == 'metrics'):
  plot_info = MetricsPlot(query_dict=params['queries'], plot_type=params['plot'], inverted_series=params['invert'], normalize_to=None, drilldown_callback='')
  (figure, areas_unused) = _create_metrics_plot_helper(plot_info, extra_text)
 elif (model.graph_type == 'qual'):
  plot_info = QualificationHistogram(query=params['query'], filter_string=params['filter_string'], interval=params['interval'], drilldown_callback='')
  (figure, areas_unused) = _create_qual_histogram_helper(plot_info, extra_text)
 else:
  raise ValueError(('Invalid graph_type %s' % model.graph_type))
 (image, bounding_box_unused) = _create_png(figure)
 return image

def create_embedded_plot ( model , update_time ) : params = pickle . loads ( model . params ) extra_text = ( 'Last updated: %s' % update_time ) if ( model . graph_type == 'metrics' ) : plot_info = MetricsPlot ( query_dict = params [ 'queries' ] , plot_type = params [ 'plot' ] , inverted_series = params [ 'invert' ] , normalize_to = None , drilldown_callback = '' ) ( figure , areas_unused ) = _create_metrics_plot_helper ( plot_info , extra_text ) elif ( model . graph_type == 'qual' ) : plot_info = QualificationHistogram ( query = params [ 'query' ] , filter_string = params [ 'filter_string' ] , interval = params [ 'interval' ] , drilldown_callback = '' ) ( figure , areas_unused ) = _create_qual_histogram_helper ( plot_info , extra_text ) else : raise ValueError ( ( 'Invalid graph_type %s' % model . graph_type ) ) ( image , bounding_box_unused ) = _create_png ( figure ) return image
given an embeddedgraphingquery object .