107 lines
4.4 KiB
Python
107 lines
4.4 KiB
Python
##############################################################################
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#
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# Copyright (c) 2004-2006 TINY SPRL. (http://tiny.be) All Rights Reserved.
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#
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# $Id: project.py 1005 2005-07-25 08:41:42Z nicoe $
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#
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# WARNING: This program as such is intended to be used by professional
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# programmers who take the whole responsability of assessing all potential
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# consequences resulting from its eventual inadequacies and bugs
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# End users who are looking for a ready-to-use solution with commercial
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# garantees and support are strongly adviced to contract a Free Software
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# Service Company
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#
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# This program is Free Software; you can redistribute it and/or
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# modify it under the terms of the GNU General Public License
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# as published by the Free Software Foundation; either version 2
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# of the License, or (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
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#
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##############################################################################
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from osv import fields,osv
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class account_analytic_to_invoice(osv.osv):
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_name = "account"
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_description = "Cases by user and section"
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_auto = False
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_columns = {
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'name': fields.date('Month', readonly=True),
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'user_id':fields.many2one('res.users', 'User', readonly=True, relate=True),
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'section_id':fields.many2one('crm.case.section', 'Section', readonly=True, relate=True),
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'amount_revenue': fields.float('Est.Revenue', readonly=True),
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'amount_costs': fields.float('Est.Cost', readonly=True),
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'amount_revenue_prob': fields.float('Est. Rev*Prob.', readonly=True),
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'nbr': fields.integer('# of Cases', readonly=True),
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'probability': fields.float('Avg. Probability', readonly=True),
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'state': fields.selection(AVAILABLE_STATES, 'State', size=16, readonly=True),
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'delay_close': fields.integer('Delay to close', readonly=True),
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}
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_order = 'name desc, user_id, section_id'
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def init(self, cr):
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cr.execute("""
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create or replace view report_crm_case_user as (
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select
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min(c.id) as id,
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substring(c.create_date for 7)||'-01' as name,
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c.state,
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c.user_id,
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c.section_id,
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count(*) as nbr,
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sum(planned_revenue) as amount_revenue,
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sum(planned_cost) as amount_costs,
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sum(planned_revenue*probability)::decimal(16,2) as amount_revenue_prob,
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avg(probability)::decimal(16,2) as probability,
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to_char(avg(date_closed-c.create_date), 'DD"d" HH12:MI:SS') as delay_close
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from
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crm_case c
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group by substring(c.create_date for 7), c.state, c.user_id, c.section_id
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)""")
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report_crm_case_user()
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class report_crm_case_categ(osv.osv):
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_name = "report.crm.case.categ"
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_description = "Cases by section and category"
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_auto = False
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_columns = {
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'name': fields.date('Month', readonly=True),
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'categ_id':fields.many2one('crm.case.categ', 'Category', readonly=True, relate=True),
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'section_id':fields.many2one('crm.case.section', 'Section', readonly=True, relate=True),
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'amount_revenue': fields.float('Est.Revenue', readonly=True),
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'amount_costs': fields.float('Est.Cost', readonly=True),
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'amount_revenue_prob': fields.float('Est. Rev*Prob.', readonly=True),
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'nbr': fields.integer('# of Cases', readonly=True),
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'probability': fields.float('Avg. Probability', readonly=True),
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'state': fields.selection(AVAILABLE_STATES, 'State', size=16, readonly=True),
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'delay_close': fields.integer('Delay Close', readonly=True),
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}
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_order = 'name desc, categ_id, section_id'
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def init(self, cr):
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cr.execute("""
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create or replace view report_crm_case_categ as (
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select
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min(c.id) as id,
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substring(c.create_date for 7)||'-01' as name,
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c.state,
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c.categ_id,
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c.section_id,
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count(*) as nbr,
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sum(planned_revenue) as amount_revenue,
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sum(planned_cost) as amount_costs,
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sum(planned_revenue*probability)::decimal(16,2) as amount_revenue_prob,
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avg(probability)::decimal(16,2) as probability,
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to_char(avg(date_closed-c.create_date), 'DD"d" HH12:MI:SS') as delay_close
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from
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crm_case c
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group by substring(c.create_date for 7), c.state, c.categ_id, c.section_id
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)""")
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report_crm_case_categ()
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