old_contents: import django
  
  django.setup()
  
  from lungmap_client import lungmap_utils
  from analytics import models
  
  image_sets = lungmap_utils.get_image_set_candidates()
  
  for key, value in image_sets.items():
      print('loading imageset ', key)
      image_set = models.ImageSet.objects.get_or_create(
          image_set_name = key,
          magnification = value['magnification'],
          species = value['species'],
          development_stage = value['development_stage']
      )
      for image in value['images']:
          experiment, experiment_create = models.Experiment.objects.get_or_create(
              experiment_id = image['image_id'].split('_')[0]
          )
          imageobject = models.Image.objects.get_or_create(
              s3key = image['s3key'],
              image_name = image['image_name'],
              image_id = image['image_id'],
              x_scaling = image['x_scaling'],
              y_scaling = image['y_scaling'],
              image_set = image_set[0].id,
              experiment_id = experiment.experiment_id
          )
      for probe in value['probes']:
          probeobject, probeobject_create = models.Probe.objects.get_or_create(
              label = probe['probe_label']
          )
          imagesetprobemap = models.ImageSetProbeMap.objects.get_or_create(
              color = probe['color'],
              probe_name = probeobject,
              image_set = image_set[0].id
          )
  
          for exp in value['experiments']:
              experimentobject = models.Experiment.objects.get(
                  experiment_id = exp
              )
              experimentprobemap = models.ExperimentProbeMap.objects.create(
                  color = probe['color'],
                  experiment_id = experimentobject,
                  probe_name=probeobject,
              )
  
new_contents: from lungmap_client import lungmap_utils
  import django
  
  django.setup()
  
  from analytics import models
  
  
  image_sets = lungmap_utils.get_image_set_candidates()
  
  for key, value in image_sets.items():
      print('loading imageset ', key)
      image_set = models.ImageSet.objects.get_or_create(
          image_set_name=key,
          magnification=value['magnification'],
          species=value['species'],
          development_stage=value['development_stage']
      )
  
      for image in value['images']:
          experiment, experiment_create = models.Experiment.objects.get_or_create(
              experiment_id=image['image_id'].split('_')[0]
          )
          imageobject = models.Image.objects.get_or_create(
              s3key=image['s3key'],
              image_name=image['image_name'],
              image_id=image['image_id'],
              x_scaling=image['x_scaling'],
              y_scaling=image['y_scaling'],
              image_set=image_set[0].id,
              experiment_id=experiment.experiment_id
          )
  
      for probe in value['probes']:
          probeobject, probeobject_create = models.Probe.objects.get_or_create(
              label=probe['probe_label']
          )
          imagesetprobemap = models.ImageSetProbeMap.objects.get_or_create(
              color=probe['color'],
              probe_name=probeobject,
              image_set=image_set[0].id
          )
  
          for exp in value['experiments']:
              experimentobject = models.Experiment.objects.get(
                  experiment_id=exp
              )
              experimentprobemap = models.ExperimentProbeMap.objects.create(
                  color=probe['color'],
                  experiment_id=experimentobject,
                  probe_name=probeobject,
              )
  
subject: fix whitespace