def clean_upload_file(self):
key = self.cleaned_data['key']
upload_file = self.cleaned_data['upload_file']
if not key:
raise forms.ValidationError(_('Please specify the key to identify duplicates'))
file_content = upload_file.read()
upload_file.seek(0)
header_line_index = file_content.find('\n')
header_list = ((file_content[:header_line_index]
).strip('\r')).split(',')
header_list = normalize_field_names(header_list)
key_list = []
for key in key.split(','):
key_list.append(key)
missing_columns = []
for item in key_list:
if not item in header_list:
missing_columns.append(item)
if missing_columns:
raise forms.ValidationError(_(
"""
'Field(s) %(fields)s used to identify the duplicates
should be included in the .csv file.'
""" % {'fields' : ', '.join(missing_columns)}))
return upload_file
def clean_upload_file(self):
key = self.cleaned_data['key']
upload_file = self.cleaned_data['upload_file']
if not key:
raise forms.ValidationError(
_('Please specify the key to identify duplicates'))
file_content = upload_file.read().decode(
'utf-8') # decode from bytes to string
upload_file.seek(0)
header_line_index = file_content.find('\n')
header_list = ((
file_content[:header_line_index]).strip('\r')).split(',')
header_list = normalize_field_names(header_list)
key_list = []
for key in key.split(','):
key_list.append(key)
missing_columns = []
for item in key_list:
if item not in header_list:
missing_columns.append(item)
if missing_columns:
raise forms.ValidationError(
_("""
'Field(s) %(fields)s used to identify the duplicates
should be included in the .csv file.'
""" % {'fields': ', '.join(missing_columns)}))
return upload_file