old_contents: import os.path
  import string
  import urllib, re
  from datetime import datetime
  from xml.dom.minidom import parse, parseString
  # Django
  from django.core import serializers
  from django.conf import settings
  from django.db import models
  # Methodmint
  
  
  def pubmed(keywords, latest_query=None):
      # Get matching publications from Pubmed service
      # We explode the keywords append [TW] for all text-search
      # then build a string for the datetime since last update
  
      keywordl = keywords.split(',')
      keywordq = '(' + '[TW] '.join(keywordl) + '[TW])' # produce[TW] this[TW] string[TW]
  
      if latest_query == None:
          timeq = ''
      else:
          timeq = ' AND ("%s"[Date - Publication] : "3000"[Date - Publication])' % latest_query.strftime("%Y/%m/%d")
  
      print "Querying pubmed with: %s %s" % (keywordq, timeq)
      f = urllib.urlopen("http://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pubmed&term=%s %s" % (keywordq, timeq))
      # Build DOM for requested data
      dom = parse(f)
      f.close()
  
      uris = []
  
      if dom:
          if dom.getElementsByTagName('Id'):
              for item in dom.getElementsByTagName('Id'):
                  uris.append( 'pmid:%d' % int( item.childNodes[0].data ) )
  
              uris = uris[:25] # Limit max number of subsequent requests
                  
  
      return uris
  
new_contents: import os.path
  import string
  import urllib, re
  from datetime import datetime
  from xml.dom.minidom import parse, parseString
  # Django
  from django.core import serializers
  from django.conf import settings
  from django.db import models
  # Methodmint
  
  
  def pubmed(keywords, latest_query=None):
      # Get matching publications from Pubmed service
      # We explode the keywords append [TW] for all text-search
      # then build a string for the datetime since last update
  
      keywordl = keywords.split(',')
      keywordq = '(' + '[TW] '.join(keywordl) + '[TW])' # produce[TW] this[TW] string[TW]
  
      if latest_query == None:
          timeq = ''
      else:
          timeq = ' AND ("%s"[Date - Epub] : "3000"[Date - Epub])' % latest_query.strftime("%Y/%m/%d")
  
      print "Querying pubmed with: %s %s" % (keywordq, timeq)
      f = urllib.urlopen("http://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pubmed&term=%s %s" % (keywordq, timeq))
      # Build DOM for requested data
      dom = parse(f)
      f.close()
  
      uris = []
  
      if dom:
          if dom.getElementsByTagName('Id'):
              for item in dom.getElementsByTagName('Id'):
                  uris.append( 'pmid:%d' % int( item.childNodes[0].data ) )
  
              uris = uris[:25] # Limit max number of subsequent requests
                  
  
      return uris
  
subject: Change publication date to Epub; more up-to-date