'zip': mapper.val('id', postprocess=lambda x: ("%s" % x).zfill(6)),
'country_id/id': mapper.const('base.be'),
'company_type': mapper.const('company'),
'customer': mapper.val('id', postprocess=lambda x: str(int(x) % 2)),
'supplier': mapper.val('id', postprocess=lambda x: str((int(x) + 1) % 2)),
'lang': mapper.const('English'),
'category_id/id': mapper.m2m(TAG_PREFIX, 'tags')
}
tag_mapping = {
'id': mapper.m2m_id_list(TAG_PREFIX, 'tags'),
'name': mapper.m2m_value_list('tags'),
'parent_id/id': mapper.const('base.res_partner_category_0'),
}
processor = transform.Processor(header=header, data=data)
processor.process(tag_mapping,
tag_output, {
'worker': 1,
'batch_size': 10,
'model': 'res.partner.category',
},
m2m=True)
processor.process(mapping, output, {
'worker': 4,
'batch_size': 100,
'model': 'res.partner',
})
processor.write_output()
launchfile_write(processor.file_to_write,
script,
'''
Created on 10 dec. 2019
@author: Thibault Francois
'''
import random
from odoo_csv_tools.lib import transform
processor = transform.Processor(filename='origin/test_merge1.csv')
processor.join_file("origin/test_merge2.csv", "category", "name")