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188 lines
5.6 KiB
188 lines
5.6 KiB
# Copyright 2012 - Now Savoir-faire Linux <https://www.savoirfairelinux.com/>
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# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl).
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from datetime import datetime, timedelta
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from odoo import fields, models, api
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from odoo.tools.safe_eval import safe_eval
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from odoo.tools import (
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DEFAULT_SERVER_DATETIME_FORMAT as DATETIME_FORMAT,
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)
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import re
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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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RE_SELECT_QUERY = re.compile('.*(' + '|'.join((
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'INSERT',
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'UPDATE',
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'DELETE',
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'CREATE',
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'ALTER',
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'DROP',
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'GRANT',
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'REVOKE',
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'INDEX',
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)) + ')')
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def is_sql_or_ddl_statement(query):
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"""Check if sql query is a SELECT statement"""
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return not RE_SELECT_QUERY.match(query.upper())
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class KPI(models.Model):
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"""Key Performance Indicators."""
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_name = "kpi"
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_description = "Key Performance Indicator"
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name = fields.Char('Name', required=True)
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description = fields.Text('Description')
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category_id = fields.Many2one(
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'kpi.category',
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'Category',
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required=True,
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)
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threshold_id = fields.Many2one(
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'kpi.threshold',
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'Threshold',
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required=True,
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)
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periodicity = fields.Integer('Periodicity', default=1)
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periodicity_uom = fields.Selection((
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('hour', 'Hour'),
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('day', 'Day'),
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('week', 'Week'),
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('month', 'Month')
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), 'Periodicity UoM', required=True, default='day')
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next_execution_date = fields.Datetime(
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'Next execution date',
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readonly=True,
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)
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value = fields.Float(string='Value',
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compute="_compute_display_last_kpi_value",
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)
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kpi_type = fields.Selection((
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('python', 'Python'),
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('local', 'SQL - Local DB'),
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('external', 'SQL - External DB')
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), 'KPI Computation Type')
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dbsource_id = fields.Many2one(
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'base.external.dbsource',
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'External DB Source',
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)
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kpi_code = fields.Text(
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'KPI Code',
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help=("SQL code must return the result as 'value' "
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"(i.e. 'SELECT 5 AS value')."),
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)
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history_ids = fields.One2many(
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'kpi.history',
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'kpi_id',
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'History',
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)
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active = fields.Boolean(
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'Active',
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help=("Only active KPIs will be updated by the scheduler based on"
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" the periodicity configuration."), default=True
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)
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company_id = fields.Many2one(
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'res.company', 'Company',
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default=lambda self: self.env.user.company_id.id)
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@api.multi
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def _compute_display_last_kpi_value(self):
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history_obj = self.env['kpi.history']
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for obj in self:
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history_ids = history_obj.search([("kpi_id", "=", obj.id)])
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if history_ids:
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obj.value = obj.history_ids[0].value
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else:
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obj.value = 0
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@api.multi
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def compute_kpi_value(self):
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for obj in self:
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kpi_value = 0
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if obj.kpi_code:
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if obj.kpi_type == 'local' and is_sql_or_ddl_statement(
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obj.kpi_code):
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self.env.cr.execute(obj.kpi_code)
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dic = self.env.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
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is_sql_or_ddl_statement(obj.kpi_code)):
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dbsrc_obj = obj.dbsource_id
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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 = safe_eval(obj.kpi_code)
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threshold_obj = obj.threshold_id
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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.env['kpi.history']
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history_obj.create(values)
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return True
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@api.multi
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def update_next_execution_date(self):
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for obj in self:
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if obj.periodicity_uom == 'hour':
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delta = timedelta(hours=obj.periodicity)
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elif obj.periodicity_uom == 'day':
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delta = timedelta(days=obj.periodicity)
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elif obj.periodicity_uom == 'week':
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delta = timedelta(weeks=obj.periodicity)
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elif obj.periodicity_uom == 'month':
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delta = timedelta(months=obj.periodicity)
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else:
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delta = timedelta()
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new_date = datetime.now() + delta
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obj.next_execution_date = new_date.strftime(DATETIME_FORMAT)
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return True
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# Method called by the scheduler
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@api.model
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def update_kpi_value(self):
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filters = [
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'&',
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'|',
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('active', '=', True),
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('next_execution_date', '<=', datetime.now().strftime(
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DATETIME_FORMAT)),
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('next_execution_date', '=', False),
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]
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if 'filters' in self.env.context:
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filters.extend(self.env.context['filters'])
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obj_ids = self.search(filters)
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res = None
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try:
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for obj in obj_ids:
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obj.compute_kpi_value()
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obj.update_next_execution_date()
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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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