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Python CSV to OpenERP importation library

Project description

csv2oerp is a convenient library to import data from CSV format to an OpenERP instance.

csv2oerp is a simple and rapid method to perform an import. Through a dictionary (dict-mapping) consisting of OpenERP fields bound to a column of the csv file and includes a search option, you can easily ordered your data before coding any lines as the manner of OpenERP. The structure of this dictionary is simple and intuitive. You can perform processing on a post-import field in particular, omit or modify it. You can also according to criterias, skip a line or do not decide to create an object being processed.

Quick start

Import csv2oerp and some callbacks:

>>> from csv2oerp import Model, Field, Openerp, Session, show_stats
>>> import csv2oerp.callbacks as cb

Configure OpenERP connection:

>>> host = ''
>>> port = 8069
>>> dbname = 'database'
>>> user = 'admin'
>>> pwd = 'admin'
>>> lang = 'fr_FR'
>>> oerp = Openerp(host, port, user, pwd, dbname, lang)

Create a new importation instance:

>>> example = Session('example_file.csv',
        delimiter=';', quotechar='"', encoding='utf-8',
        offset=1, limit=10)

Define a custom callback(Field’s value pre-treatment):

>>> def country_code(session, model, field, value, line_num):
...     """Return the first two uppered characters from current column value
...     """
...     return value[:2].upper()

Define your mapping to link both csv and OpenERP:

>>> res_partner = Model('res.partner', fields=[

...         Field('name', columns=[1]),
...         Field('siren', columns=[2]),
...         Field('website', columns=[16]),
...         Field('comment', columns=[56]),

...     ], update=False, search=['siren']) # Unique by siren and no update

>>> res_country = Model('', fields=[

...         Field('code', columns=[13], callbacks=[_country_code], default='FR'),
...         Field('name', columns=[13], default='FRANCE'),

...     ], update=False, search=['code', 'name'])

>>> res_partner_address = Model('res.partner.address', fields=[
...         # Custom field's value
...         Field('type', custom='default'),

...         # Simple fields
...         Field('zip', columns=[9], default='35000'),
...         Field('city', columns=[10], default='RENNES'),
...         Field('phone', column=[14]),
...         Field('fax', columns=[15]),
...         Field('email', columns=[17], unique=True), # Unique email
...         Field('cedex', columns=[68]),

...         # Mixing columns (concatenation)
...         Field('street', columns=[7, 6], method='concatenate'),
...         Field('street2', columns=[8, 5], method='concatenate'),

...         # Model's relation with dynamic insertion from OpenERP database
...         # Not native object from OpenERP framework
...         Field('region_id', columns=[11],
...             callbacks=[cb.get_id('res.region', ['name'])])
...         Field('dep_id', columns=[12],
...             callbacks=[cb.get_id('res.dep', ['name'])])

...         # Model's relations not updated if exists
...         Field('country_id', relation=res_country),

...         # Model's relations with unique value between objects
...         Field('partner_id', relation=res_partner, required=True),

...     ], search=['type', 'partner_id'])

Finally join objects to the session which starts the import process:

>>> example.bind(oerp, [res_partner_address, ])

And show statistics of objects’s activities during the importation process:

>>> csv2oerp.show_stats()

Project details

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