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378 lines
16 KiB
378 lines
16 KiB
# -*- encoding: utf-8 -*-
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##############################################################################
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#
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# OpenERP, Open Source Management Solution
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# Copyright (C) 2012 Savoir-faire Linux (<http://www.savoirfairelinux.com>).
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as
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# published by the Free Software Foundation, either version 3 of the
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# 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 Affero General Public License for more details.
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#
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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#
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##############################################################################
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from dateutil.relativedelta import relativedelta
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from datetime import datetime
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from osv import fields, osv
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from openerp.tools.translate import _
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import openerp.tools as tools
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import time
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import logging
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_logger = logging.getLogger(__name__)
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def is_one_value(result):
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# check if sql query returns only one value
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if type(result) is dict and 'value' in result.dictfetchone():
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return True
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elif type(result) is list and 'value' in result[0]:
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return True
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else:
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return False
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def is_select_query(query):
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# check if sql query is a SELECT statement
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for statement in ('INSERT', 'UPDATE', 'DELETE', 'CREATE', 'ALTER', 'DROP', 'GRANT', 'REVOKE', 'INDEX'):
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if statement in query:
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return False
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return True
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class mgmtsystem_kpi_category(osv.osv):
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"""
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KPI Category
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"""
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_name = "mgmtsystem.kpi.category"
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_description = "KPI Category"
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_columns = {
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'name': fields.char('Name', size=50, required=True),
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'description': fields.text('Description')
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}
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mgmtsystem_kpi_category()
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class mgmtsystem_kpi_threshold_range(osv.osv):
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"""
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KPI Threshold Range
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"""
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_name = "mgmtsystem.kpi.threshold.range"
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_description = "KPI Threshold Range"
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def compute_min_value(self, cr, uid, ids, field_name, arg, context=None):
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if context is None:
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context = {}
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result = {}
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for obj in self.browse(cr, uid, ids):
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value = None
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if obj.min_type == 'local' and is_select_query(obj.min_code):
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cr.execute(obj.min_code)
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dic = cr.dictfetchall()
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if is_one_value(dic):
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value = dic[0]['value']
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elif obj.min_type == 'external' and obj.min_dbsource_id.id and is_select_query(obj.min_code):
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dbsrc_obj = self.pool.get('base.external.dbsource').browse(cr, uid, obj.min_dbsource_id.id, context)
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res = dbsrc_obj.execute(obj.min_code)
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if is_one_value(res):
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value = res[0]['value']
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elif obj.min_type == 'python':
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value = eval(obj.min_code)
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else:
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value = obj.min_fixed_value
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result[obj.id] = value
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return result
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def compute_max_value(self, cr, uid, ids, field_name, arg, context=None):
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if context is None:
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context = {}
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result = {}
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for obj in self.browse(cr, uid, ids, context):
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value = None
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if obj.max_type == 'local' and is_select_query(obj.max_code):
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cr.execute(obj.max_code)
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dic = cr.dictfetchall()
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if is_one_value(dic):
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value = dic[0]['value']
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elif obj.max_type == 'python':
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value = eval(obj.max_code)
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elif obj.max_type == 'external' and obj.max_dbsource_id.id and is_select_query(obj.max_code):
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dbsrc_obj = self.pool.get('base.external.dbsource').browse(cr, uid, obj.max_dbsource_id.id, context)
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res = dbsrc_obj.execute(obj.max_code)
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if is_one_value(res):
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value = res[0]['value']
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else:
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value = obj.max_fixed_value
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result[obj.id] = value
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return result
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def _is_valid_range(self, cr, uid, ids, field_name, arg, context=None):
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if context is None:
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context = {}
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result = {}
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for obj in self.browse(cr, uid, ids, context):
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if obj.max_value < obj.min_value:
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result[obj.id] = False
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else:
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result[obj.id] = True
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return result
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def _generate_invalid_message(self, cr, uid, ids, field_name, arg, context=None):
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if context is None:
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context = {}
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result = {}
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for obj in self.browse(cr, uid, ids, context):
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if obj.valid:
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result[obj.id] = ""
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else:
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result[obj.id] = "Minimum value is greater than the maximum value! Please adjust them."
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return result
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_columns = {
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'name': fields.char('Name', size=50, required=True),
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'valid': fields.function(_is_valid_range, string='Valid', type='boolean', required=True),
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'invalid_message': fields.function(_generate_invalid_message, string='Message', type='char', size=100),
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'min_type': fields.selection((('static','Fixed value'), ('python','Python Code'), ('local', 'SQL - Local DB'), ('external', 'SQL - Externa DB')), 'Min Type', required=True),
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'min_value': fields.function(compute_min_value, string='Minimum', type='float'),
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'min_fixed_value': fields.float('Minimum'),
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'min_code': fields.text('Minimum Computation Code'),
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'min_dbsource_id': fields.many2one('base.external.dbsource','External DB Source'),
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'max_type': fields.selection((('static','Fixed value'), ('python','Python Code'), ('local', 'SQL - Local DB'), ('external', 'SQL - External DB')), 'Max Type', required=True),
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'max_value': fields.function(compute_max_value, string='Maximum', type='float'),
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'max_fixed_value': fields.float('Maximum'),
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'max_code': fields.text('Maximum Computation Code'),
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'max_dbsource_id': fields.many2one('base.external.dbsource','External DB Source'),
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'color': fields.char('Color', help='RGB code with #', size=7, required=True),
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'threshold_ids': fields.many2many('mgmtsystem.kpi.threshold','mgmtsystem_kpi_threshold_range_rel', 'range_id', 'threshold_id', 'Thresholds'),
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}
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_defaults = {
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'valid': True,
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}
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mgmtsystem_kpi_threshold_range()
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class mgmtsystem_kpi_threshold(osv.osv):
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"""
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KPI Threshold
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"""
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_name = "mgmtsystem.kpi.threshold"
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_description = "KPI Threshold"
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def _is_valid_threshold(self, cr, uid, ids, field_name, arg, context=None):
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if context is None:
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context = {}
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result = {}
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for obj in self.browse(cr, uid, ids, context):
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# check if ranges overlap
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for range_obj1 in obj.range_ids:
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for range_obj2 in obj.range_ids:
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if range_obj1.valid and range_obj2.valid and range_obj1.min_value < range_obj2.min_value:
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if range_obj1.max_value <= range_obj2.min_value:
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result[obj.id] = True
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else:
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result[obj.id] = False
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return result
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def _generate_invalid_message(self, cr, uid, ids, field_name, arg, context=None):
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if context is None:
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context = {}
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result = {}
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for obj in self.browse(cr, uid, ids, context):
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if obj.valid:
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result[obj.id] = ""
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else:
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result[obj.id] = "2 of your ranges are overlapping! Please make sure your ranges do not overlap."
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return result
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_columns = {
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'name': fields.char('Name', size=50, required=True),
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'range_ids': fields.many2many('mgmtsystem.kpi.threshold.range','mgmtsystem_kpi_threshold_range_rel', 'threshold_id', 'range_id', 'Ranges'),
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'valid': fields.function(_is_valid_threshold, string='Valid', type='boolean', required=True),
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'invalid_message': fields.function(_generate_invalid_message, string='Message', type='char', size=100),
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'kpi_ids': fields.one2many('mgmtsystem.kpi', 'threshold_id', 'KPIs'),
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}
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_defaults = {
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'valid': True,
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}
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def create(self, cr, uid, data, context=None):
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if context is None:
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context = {}
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# check if ranges overlap
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range_obj1 = self.pool.get('mgmtsystem.kpi.threshold.range')
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range_obj2 = self.pool.get('mgmtsystem.kpi.threshold.range')
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for range1 in data['range_ids'][0][2]:
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range_obj1 = range_obj1.browse(cr, uid, range1, context)
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for range2 in data['range_ids'][0][2]:
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range_obj2 = range_obj2.browse(cr, uid, range2, context)
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if range_obj1.valid and range_obj2.valid and range_obj1.min_value < range_obj2.min_value:
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if range_obj1.max_value > range_obj2.min_value:
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raise osv.except_osv(_("2 of your ranges are overlapping!"), _("Please make sure your ranges do not overlap!"))
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range_obj2 = self.pool.get('mgmtsystem.kpi.threshold.range')
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range_obj1 = self.pool.get('mgmtsystem.kpi.threshold.range')
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return super(mgmtsystem_kpi_threshold, self).create(cr, uid, data, context)
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def get_color(self, cr, uid, ids, kpi_value, context=None):
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if context is None:
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context = {}
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color = '#FFFFFF'
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for obj in self.browse(cr, uid, ids, context):
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for range_id in obj.range_ids:
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range_obj = self.pool.get('mgmtsystem.kpi.threshold.range').browse(cr, uid, range_id.id, context)
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if range_obj.min_value <= kpi_value <= range_obj.max_value and range_obj.valid:
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color = range_obj.color
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return color
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mgmtsystem_kpi_threshold()
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class mgmtsystem_kpi_history(osv.osv):
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"""
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History of the KPI
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"""
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_name = "mgmtsystem.kpi.history"
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_description = "History of the KPI"
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_columns = {
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'name': fields.char('Name', size=150, required=True),
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'kpi_id': fields.many2one('mgmtsystem.kpi', 'KPI', required=True),
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'date': fields.datetime('Execution Date', required=True, readonly=True),
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'value': fields.float('Value', required=True, readonly=True),
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'color': fields.text('Color', required=True, readonly=True),
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}
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_defaults = {
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'name': lambda *a: time.strftime('%d %B %Y'),
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'date': lambda *a: time.strftime('%Y-%m-%d %H:%M:%S'),
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'color': '#FFFFFF',
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}
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_order = "date desc"
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mgmtsystem_kpi_threshold()
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class mgmtsystem_kpi(osv.osv):
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"""
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Key Performance Indicators
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"""
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_name = "mgmtsystem.kpi"
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_description = "Key Performance Indicator"
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def _display_last_kpi_value(self, cr, uid, ids, field_name, arg, context=None):
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if context is None:
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context = {}
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result = {}
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for obj in self.browse(cr, uid, ids):
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if obj.history_ids:
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result[obj.id] = obj.history_ids[0].value
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else:
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result[obj.id] = 0
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return result
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def compute_kpi_value(self, cr, uid, ids, context=None):
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if context is None:
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context = {}
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for obj in self.browse(cr, uid, ids):
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kpi_value = 0
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if obj.kpi_type == 'local' and is_select_query(obj.kpi_code):
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cr.execute(obj.kpi_code)
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dic = cr.dictfetchall()
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if is_one_value(dic):
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kpi_value = dic[0]['value']
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elif obj.kpi_type == 'external' and obj.dbsource_id.id and is_select_query(obj.kpi_code):
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dbsrc_obj = self.pool.get('base.external.dbsource').browse(cr, uid, obj.dbsource_id.id, context)
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res = dbsrc_obj.execute(obj.kpi_code)
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if is_one_value(res):
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kpi_value = res[0]['value']
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elif obj.kpi_type == 'python':
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kpi_value = eval(obj.kpi_code)
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threshold_obj = self.pool.get('mgmtsystem.kpi.threshold').browse(cr, uid, obj.threshold_id.id, context)
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values = {
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'kpi_id': obj.id,
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'value': kpi_value,
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'color': threshold_obj.get_color(kpi_value),
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}
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history_obj = self.pool.get('mgmtsystem.kpi.history')
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history_id = history_obj.create(cr, uid, values, context=context)
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obj.history_ids.append(history_id)
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return True
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def update_next_execution_date(self, cr, uid, ids, context=None):
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if context is None:
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context = {}
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for obj in self.browse(cr, uid, ids):
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if obj.periodicity_uom == 'hour':
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new_date = datetime.now() + relativedelta( hours = +obj.periodicity )
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elif obj.periodicity_uom == 'day':
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new_date = datetime.now() + relativedelta( days = +obj.periodicity )
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elif obj.periodicity_uom == 'week':
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new_date = datetime.now() + relativedelta( weeks = +obj.periodicity )
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elif obj.periodicity_uom == 'month':
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new_date = datetime.now() + relativedelta( months = +obj.periodicity )
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values = {
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'next_execution_date': new_date.strftime('%Y-%m-%d %H:%M:%S'),
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}
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obj.write(values)
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return True
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# Method called by the scheduler
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def update_kpi_value(self, cr, uid, ids=None, context=None):
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if context is None:
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context = {}
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if not ids:
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filters = ['&', '|', ('active', '=', True), ('next_execution_date', '<=', datetime.now().strftime('%Y-%m-%d %H:%M:%S')), ('next_execution_date', '=', False)]
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if 'filters' in context:
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filters.extend(context['filters'])
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ids = self.search(cr, uid, filters, context=context)
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res = None
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try:
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res = self.compute_kpi_value(cr, uid, ids, context=context)
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self.update_next_execution_date(cr, uid, ids, context=context)
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except Exception:
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_logger.exception("Failed updating KPI values")
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return res
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_columns = {
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'name': fields.char('Name', size=50, required=True),
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'description': fields.text('Description'),
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'category_id': fields.many2one('mgmtsystem.kpi.category','Category', required=True),
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'threshold_id': fields.many2one('mgmtsystem.kpi.threshold','Threshold', required=True),
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'periodicity': fields.integer('Periodicity'),
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'periodicity_uom': fields.selection((('hour','Hour'), ('day','Day'), ('week','Week'), ('month','Month')), 'Periodicity UoM', required=True),
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'next_execution_date': fields.datetime('Next execution date', readonly=True),
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'value': fields.function(_display_last_kpi_value, string='Value', type='float'),
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'kpi_type': fields.selection((('python','Python'), ('local','SQL - Local DB'), ('external','SQL - External DB')),'KPI Computation Type'),
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'dbsource_id': fields.many2one('base.external.dbsource','External DB Source'),
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'kpi_code': fields.text('KPI Code', help='SQL code must return the result as \'value\' (i.e. \'SELECT 5 AS value\').'),
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'history_ids': fields.one2many('mgmtsystem.kpi.history', 'kpi_id', 'History'),
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'active': fields.boolean('Active', help="Only active KPIs will be updated by the scheduler based on the periodicity configuration."),
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}
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_defaults = {
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'active': True,
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'periodicity': 1,
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'periodicity_uom': 'day',
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}
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mgmtsystem_kpi()
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# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
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