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# -*- coding: utf-8 -*-
##############################################################################
#
# Cybrosys Technologies Pvt. Ltd.
# Copyright (C) 2012-TODAY Cybrosys Technologies(<http://www.cybrosys.com>).
# Author: Nikhil krishnan(<http://www.cybrosys.com>)
# you can modify it under the terms of the GNU LESSER
# GENERAL PUBLIC LICENSE (LGPL v3), Version 3.
#
# It is forbidden to publish, distribute, sublicense, or sell copies
# of the Software or modified copies of the Software.
#
# 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 LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details.
#
# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE
# GENERAL PUBLIC LICENSE (LGPL v3) along with this program.
# If not, see <http://www.gnu.org/licenses/>.
#
##############################################################################
import statistics
from openerp import models, fields, api, exceptions, _
from openerp.exceptions import Warning
class QcInspection(models.Model):
_inherit = 'qc.inspection'
# Replace this function here. for Checking the test_number and test_results
@api.multi
def action_confirm(self):
for inspection in self:
for line in inspection.inspection_lines:
if line.question_type == 'qualitative':
if not line.qualitative_value:
raise exceptions.Warning(
_("You should provide an answer for all "
"qualitative questions."))
else:
if not line.uom_id:
raise exceptions.Warning(
_("You should provide a unit of measure for"
"quantitative questions."))
if line.test_number == len(line.test_results):
pass
elif line.test_number > len(line.test_results):
raise exceptions.Warning(
_("Warning \n"
"Question %s has no sufficient test results. we need %s results" % (line.name,
line.test_number)))
else:
raise exceptions.Warning(
_("Warning \n" "Question %s has excess of test results. Number of tests is %s. Please update "
"the test number or test results" % (line.name, line.test_number)))
if inspection.success:
inspection.state = 'success'
else:
inspection.state = 'waiting'
class QcInspectionLine(models.Model):
_inherit = 'qc.inspection.line'
_description = 'Quality control inspection'
@api.one
@api.depends('question_type', 'test_number', 'test_results', 'test_method')
def quantitative_value_check(self):
if self.question_type == 'qualitative':
# self.write({'test_number': 0})
self.test_number = 0
else:
lst = []
for n in self.test_results:
lst.append(n.name)
if self.test_method == 'avg_mean':
if self.test_number == len(self.test_results):
self.quantitative_value = statistics.mean(lst)
else:
self.quantitative_value = 0
elif self.test_method == 'avg_mode':
if self.test_number == len(self.test_results):
try:
self.quantitative_value = statistics.mode(lst)
except Exception, e:
raise Warning(_("Warning \n"
"no unique mode; found %s equally common values" % (self.test_number)))
else:
self.quantitative_value = 0
elif self.test_method == 'avg_median':
if self.test_number == len(self.test_results):
self.quantitative_value = statistics.median(lst)
else:
self.quantitative_value = 0
elif self.test_method == 'max_method':
if self.test_number == len(self.test_results):
self.quantitative_value = max(lst)
else:
self.quantitative_value = 0
else:
if self.test_number == len(self.test_results):
self.quantitative_value = min(lst)
else:
self.quantitative_value = 0
@api.one
@api.depends('question_type', 'test_number', 'test_results', 'uom_id', 'test_uom_id', 'max_value',
'min_value', 'quantitative_value', 'qualitative_value',
'possible_ql_values')
def quality_test_check(self):
if self.question_type == 'qualitative':
self.success = self.qualitative_value.ok
else:
if self.uom_id.id == self.test_uom_id.id:
amount = self.quantitative_value
else:
amount = self.env['product.uom']._compute_qty(
self.uom_id.id, self.quantitative_value,
self.test_uom_id.id)
self.success = self.max_value >= amount >= self.min_value
test_number = fields.Integer('Number of tests', default=2)
test_results = fields.Many2many('qc.test.results')
quantitative_value = fields.Float(
'Quantitative value', compute="quantitative_value_check", digits=(16, 5),
help="Value of the result for a quantitative question.")
test_method = fields.Selection([('avg_mean', 'Mean'), ('avg_mode', 'Mode'),
('avg_median', 'Median'), ('max_method', 'Largest'),
('min_method', 'Smallest')], 'Testing Method', default='avg_mean',
help='The testing Method are used to calculate the Quantitative value with '
'varies calculation methods.\n1-Mean: Sum of Test results divided by Number '
'of tests.\n2- Mode: Results that occurs most often within the set '
'of Test results.\n3-Median: Median is the middle Result in a sequence '
'of Test results.\n4- Largest: Largest result from the Test results\n'
'5-Smallest: Smallest result from the Test results)')
class QcTestResults(models.Model):
_name = 'qc.test.results'
name = fields.Float(string='Values')