##############################################################################
import tools
from osv import fields,osv
-from hr_recruitment import hr_recruitment
+from .. import hr_recruitment
from decimal_precision import decimal_precision as dp
_columns = {
'user_id': fields.many2one('res.users', 'User', readonly=True),
- 'nbr': fields.integer('# of Cases', readonly=True),
+ 'nbr': fields.integer('# of Applications', readonly=True),
'state': fields.selection(AVAILABLE_STATES, 'State', size=16, readonly=True),
'month':fields.selection([('01', 'January'), ('02', 'February'), \
('03', 'March'), ('04', 'April'),\
'department_id': fields.many2one('hr.department','Department',readonly=True),
'priority': fields.selection(hr_recruitment.AVAILABLE_PRIORITIES, 'Appreciation'),
'salary_prop' : fields.float("Salary Proposed", digits_compute=dp.get_precision('Account')),
- 'salary_prop_avg' : fields.float("Avg Salary Proposed", group_operator="avg", digits_compute=dp.get_precision('Account')),
+ 'salary_prop_avg' : fields.float("Avg. Proposed Salary", group_operator="avg", digits_compute=dp.get_precision('Account')),
'salary_exp' : fields.float("Salary Expected", digits_compute=dp.get_precision('Account')),
+ 'salary_exp_avg' : fields.float("Avg. Expected Salary", group_operator="avg", digits_compute=dp.get_precision('Account')),
'partner_id': fields.many2one('res.partner', 'Partner',readonly=True),
- 'partner_address_id': fields.many2one('res.partner.address', 'Partner Contact Name',readonly=True),
'available': fields.float("Availability"),
- 'delay_open': fields.float('Avg. Delay to Open', digits=(16,2), readonly=True, group_operator="avg",
- help="Number of Days to close the project issue"),
'delay_close': fields.float('Avg. Delay to Close', digits=(16,2), readonly=True, group_operator="avg",
help="Number of Days to close the project issue"),
}
s.state,
s.partner_id,
s.company_id,
- s.partner_address_id,
s.user_id,
s.job_id,
s.type_id,
sum(salary_proposed) as salary_prop,
(sum(salary_proposed)/count(*)) as salary_prop_avg,
sum(salary_expected) as salary_exp,
- extract('epoch' from (s.date_open-s.create_date))/(3600*24) as delay_open,
+ (sum(salary_expected)/count(*)) as salary_exp_avg,
extract('epoch' from (s.date_closed-s.create_date))/(3600*24) as delay_close,
count(*) as nbr
from hr_applicant s
s.date_closed,
s.state,
s.partner_id,
- s.partner_address_id,
s.company_id,
s.user_id,
s.stage_id,