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hr_payslip.py
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# -*- coding:utf-8 -*-
##############################################################################
#
# Copyright (C) 2014 Savoir-faire Linux. All Rights Reserved.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published
# by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
##############################################################################
from openerp.osv import orm
from openerp.tools.safe_eval import safe_eval as eval
from openerp.tools.translate import _
class hr_payslip(orm.Model):
_inherit = 'hr.payslip'
def get_rule_variable(
self, cr, uid, ids, rule_id, date, localdict=False, context=None
):
"""
Gets a salary rule variable related to a salary rule for
a period of time
This method is called from the salary rule:
payslip.get_rule_variable(rule_id, payslip.date_from)
By using the optional argument localdict, you can pass the value of
salary rule already computed. Example:
payslip.get_rule_variable(rule_id, payslip.date_from, GROSS)
returns: fixed amount (a float) or a python object (most likely a dict)
"""
rule = self.pool['hr.salary.rule'].browse(
cr, uid, rule_id, context=context
)
# Find the salary rule variable related to that rule for the
# requested period
variable_list = [
variable for variable in rule.variable_ids
if variable.date_from <= date <= variable.date_to
]
if not variable_list:
raise orm.except_orm(
_("Warning"),
_("""\
The salary rule variable related to %s does not exist for the date %s""") %
(rule.code, date)
)
if len(variable_list) > 1:
raise orm.except_orm(
_("Warning"),
_("""\
%s salary rule variables related to %s exist for the date %s""") %
(len(variable_list), rule.code, date)
)
variable = variable_list[0]
# Return the result whether the variable is fix or based on python code
if variable.type == 'python':
return eval(variable.python_code, localdict or {})
else:
return variable.fixed_amount