
Security News
npm ‘is’ Package Hijacked in Expanding Supply Chain Attack
The ongoing npm phishing campaign escalates as attackers hijack the popular 'is' package, embedding malware in multiple versions.
Welcome to csv2oerp's documentation!
csv2oerp
is a Python converter from the csv
format to OpenERP
data record.
csv2oerp
is an easy way to import records from heterogeneous datas by editing
a simple script as the manner of OpenERP
data model.
You can specify pre-treatment(s) before any records insertions, you can also,
according to criteria, omit the insertion of an entire record, mofify it or just
create it (CRUD abilities).
Some features of csv2oerp
include abilities of Python csv
module to specify
input file configuration. It also include somme abilities of some third party
library according to your needs.
.. code-block:: python
#!/usr/bin/env python
#.. your_script.py
from csv2oerp import Model, Field, Openerp, Session
#
# Configure OpenERP connection
#
oerp = Openerp(
host='198.168.0.1', port=8069,
user='admin', pwd='admin', dbname='database',
lang'fr_FR')
#
# Create a new importation instance::
#
session = Session(
'file.csv', delimiter=';', quotechar='"', encoding='utf-8',
offset=1, limit=10)
#
# Define your mapping to link both csv and OpenERP::
#
# res.partner is unique by siren and will not be updated if exists
res_partner = Model('res.partner', fields=[
Field('name', columns=[1]),
Field('siren', columns=[2]),
Field('website', columns=[16]),
], update=False, search=['siren'])
# res.country is unique by code and name and will not be updated if exists
res_country = Model('res.country', fields=[
Field('code', columns=[13], default='FR'),
Field('name', columns=[13], default='FRANCE'),
], update=False, search=['code', 'name'])
# res.partner.address is unique by type and partner_id
res_partner_address = Model('res.partner.address', fields=[
# Simple fields, some with default value and some unique between records
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),
Field('cedex', columns=[68]),
# Mixing columns (by concatenation or selection)
Field('street', columns=[7, 6], method='selection'),
Field('street2', columns=[8, 5], method='concatenate'),
# Model's relations with res.partner which must exists
Field('country_id', relation=res_country),
Field('partner_id', relation=res_partner, required=True),
# Adding a custom value to a missing field in the `csv` file
Field('type', custom='delivery'),
], search=['type', 'partner_id'])
#
# Finally join objects to the session which starts the import process
#
# There is no particular needs to also inject res.partner model, as it's
# already contained as a relation of res.partner.address
session.bind(oerp, [res_partner_address, ])
#
# Optionaly: show statistics of records's activities during the importation process
#
csv2oerp.show_stats()
All architectures.
csv2oerp
support Python versions 2.6 and 2.7.
This software is made available under the LGPLv3 license.
Please, feel free to report bugs or suggestions in the Bug Tracker <https://bitbucket.org/StefMangin/python-csv2oerp/issues?status=new&status=open>
_!
FAQs
Python CSV to OpenERP importation library
We found that csv2oerp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
The ongoing npm phishing campaign escalates as attackers hijack the popular 'is' package, embedding malware in multiple versions.
Security News
A critical flaw in the popular npm form-data package could allow HTTP parameter pollution, affecting millions of projects until patched versions are adopted.
Security News
Bun 1.2.19 introduces isolated installs for smoother monorepo workflows, along with performance boosts, new tooling, and key compatibility fixes.