old_contents: from __future__ import unicode_literals
  
  from scrapi.base import OAIHarvester
  
  
  valposcholar = OAIHarvester(
      name='valposcholar',
      base_url='http://scholar.valpo.edu/do/oai/',
      property_list=['type', 'source'],
      approved_sets=True
  )
  
  consume = valposcholar.harvest
  normalize = valposcholar.normalize
  
new_contents: from __future__ import unicode_literals
  
  from scrapi.base import OAIHarvester
  
  
  valposcholar = OAIHarvester(
      name='valposcholar',
      base_url='http://scholar.valpo.edu/do/oai/',
      property_list=['type', 'source'],
      approved_sets=[
          'cc_fac_pub',
          'it_pubs',
          'ccls_fac_pub',
          'journaloftolkienresearch',
          'art_fac_pub',
          'bio_fac_pub',
          'chem_fac_pub',
          'comm_fac_pubs',
          'econ_fac_pub',
          'ed_fac_pubs',
          'eng_fac_pub', 'vfr',
          'german_fac_pub',
          'spanish_fac_pub',
          'geomet_fac_pub',
          'history_fac_pub',
          'kin_fac_pubs',
          'mcs_fac_pubs',
          'phys_astro_fac_pub',
          'poli_sci_fac_pubs',
          'psych_fac_pub',
          'sociology_fac_pub',
          'theatre_fac_pubs',
          'theo_fac_pubs',
          'cba_fac_pub',
          'jvbl',
          'engineering_fac_pub',
          'ebpr',
          'msn_theses',
          'nursing_fac_pubs',
          'grad_student_pubs',
          'vulr',
          'law_fac_pubs',
          'ils_papers'
      ]
  )
  
  consume = valposcholar.harvest
  normalize = valposcholar.normalize
  ''
  
subject: add list of approved sets