def google(self, qs):
     """CSV format suitable for importing into google GMail
     """
     csvf = writer(sys.stdout)
     csvf.writerow(['Name', 'Email'])
     for ent in qs:
         csvf.writerow([full_name(**ent), ent['email']])
Ejemplo n.º 2
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 def google(self, qs):
     """CSV format suitable for importing into google GMail
     """
     csvf = writer(sys.stdout)
     csvf.writerow(['Name', 'Email'])
     for ent in qs:
         csvf.writerow([full_name(**ent), ent['email']])
 def linkedin(self, qs):
     """CSV format suitable for importing into linkedin Groups.
     perfect for pre-approving members of a linkedin group.
     """
     csvf = writer(sys.stdout)
     csvf.writerow(['First Name', 'Last Name', 'Email'])
     for ent in qs:
         csvf.writerow([ent['first_name'], ent['last_name'], ent['email']])
Ejemplo n.º 4
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 def linkedin(self, qs):
     """CSV format suitable for importing into linkedin Groups.
     perfect for pre-approving members of a linkedin group.
     """
     csvf = writer(sys.stdout)
     csvf.writerow(['First Name', 'Last Name', 'Email'])
     for ent in qs:
         csvf.writerow([ent['first_name'], ent['last_name'], ent['email']])
Ejemplo n.º 5
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 def outlook(self, qs):
     """CSV format suitable for importing into outlook"""
     csvf = writer(sys.stdout)
     columns = ['Name', 'E-mail Address', 'Notes', 'E-mail 2 Address', 'E-mail 3 Address',
                'Mobile Phone', 'Pager', 'Company', 'Job Title', 'Home Phone', 'Home Phone 2',
                'Home Fax', 'Home Address', 'Business Phone', 'Business Phone 2',
                'Business Fax', 'Business Address', 'Other Phone', 'Other Fax', 'Other Address']
     csvf.writerow(columns)
     empty = [''] * (len(columns) - 2)
     for ent in qs:
         csvf.writerow([self.full_name(**ent), ent.get('email', '')] + empty)
Ejemplo n.º 6
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 def outlook(self, qs):
     """CSV format suitable for importing into outlook"""
     csvf = writer(sys.stdout)
     columns = ['Name', 'E-mail Address', 'Notes', 'E-mail 2 Address', 'E-mail 3 Address',
                'Mobile Phone', 'Pager', 'Company', 'Job Title', 'Home Phone', 'Home Phone 2',
                'Home Fax', 'Home Address', 'Business Phone', 'Business Phone 2',
                'Business Fax', 'Business Address', 'Other Phone', 'Other Fax', 'Other Address']
     csvf.writerow(columns)
     empty = [''] * (len(columns) - 2)
     for ent in qs:
         csvf.writerow([full_name(**ent), ent['email']] + empty)