From 2347f44ab2711e91f0861df50f7e4c9c81f303bc Mon Sep 17 00:00:00 2001 From: "Rucha (Open ERP)" Date: Wed, 8 Aug 2012 15:43:05 +0530 Subject: [PATCH] [FIX,IMP]: hr: Fixes and improvements for employee-user relation bzr revid: rpa@tinyerp.com-20120808101305-dsqn337ngmcysm4z --- addons/hr/hr_demo.xml | 57 ++++++++++++------- .../project_timesheet_demo.xml | 21 +++---- .../project_timesheet/test/work_timesheet.yml | 8 +-- 3 files changed, 51 insertions(+), 35 deletions(-) diff --git a/addons/hr/hr_demo.xml b/addons/hr/hr_demo.xml index af95b5ae0d2..811416b8bbe 100644 --- a/addons/hr/hr_demo.xml +++ b/addons/hr/hr_demo.xml @@ -55,6 +55,7 @@ Quentin qdp qdp + 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 + + Aline + apr + apr + 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@@ -276,7 +291,7 @@ - + Grand-Rosière +3281813700 fme@openerp.com @@ -288,7 +303,7 @@ - + Grand-Rosière +3281813700 fpi@openerp.com @@ -301,7 +316,7 @@ - + Grand-Rosière +3281813700 jth@openerp.com @@ -314,7 +329,7 @@ - + Auderghem +3281813700 ngh@openerp.com @@ -327,7 +342,7 @@ - + Grand-Rosière +3281813700 vad@openerp.com diff --git a/addons/project_timesheet/project_timesheet_demo.xml b/addons/project_timesheet/project_timesheet_demo.xml index ff2a411282f..66caf4bc70b 100644 --- a/addons/project_timesheet/project_timesheet_demo.xml +++ b/addons/project_timesheet/project_timesheet_demo.xml @@ -14,11 +14,11 @@ - + Phuong - - + + @@ -27,7 +27,7 @@ Francois - + @@ -35,23 +35,24 @@ Julien - + - Alien + Aline - - + + + 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 Fabian - - + + diff --git a/addons/project_timesheet/test/work_timesheet.yml b/addons/project_timesheet/test/work_timesheet.yml index fe487729f81..2f75f908735 100644 --- a/addons/project_timesheet/test/work_timesheet.yml +++ b/addons/project_timesheet/test/work_timesheet.yml @@ -4,9 +4,9 @@ !record {model: project.task.work, id: project_task_work1}: date: !eval time.strftime('%Y-%m-%d %H:%M:%S') name: Test Timesheet records - task_id: project.project_task_1 + task_id: project.project_task_10 hours: 20.0 - user_id: base.user_niv + user_id: base.user_fpi company_id: base.main_company - I check Timesheet line for employee in current Timesheet @@ -14,8 +14,8 @@ !python {model: hr.analytic.timesheet}: | import datetime start = (datetime.date.today().strftime('%Y-%m-%d')) - task_work = self.search(cr, uid, [("name","=","Prepare Requirements Document: Test Timesheet records")],context)[0] + task_work = self.search(cr, uid, [("name","=","Social network integration: Test Timesheet records")],context)[0] task_ids = self.browse(cr, uid, task_work, context) - assert task_ids.user_id.id == ref("base.user_niv"), 'Error, The User in Timesheet is not Correct' + assert task_ids.user_id.id == ref("base.user_fpi"), 'Error, The User in Timesheet is not Correct' assert task_ids.date == start, 'Error, The Date in Timesheet is not ok' assert task_ids.product_uom_id.name == "Hour", 'Error, The Hour in Timesheet is not ok'