102 lines
4.3 KiB
Python
102 lines
4.3 KiB
Python
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from datetime import timedelta
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from odoo import models, fields, api
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class ProjectTask(models.Model):
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_inherit = 'project.task'
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# 1. Type of KPI
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type_of_kpi = fields.Selection([
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('percentage', 'Percentage'),
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('number', 'Number'),
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('other', 'Other')
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], string='KPI Type', default='number')
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# 2. Total Number KPI (The Target)
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total_number_kpi = fields.Float(string='KPI Target', default=0.0)
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# 3. Number of KPI (The Achieved Result)
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# This is the main field used for storage
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number_of_kpi = fields.Float(string='KPI Achieved', default=0.0)
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# 4. Dateline of KPI
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dateline_of_kpi = fields.Date(string='KPI Deadline')
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# 5. Computed Field: Sum of Sub-tasks KPI
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# This shows what the total would be based on children
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kpi_achieved_subtask_sum = fields.Float(
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string='KPI Sum from Subtasks',
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compute='_compute_kpi_achieved_subtask_sum',
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store=True
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)
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# 6. Computed Field: Achievement Rate
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kpi_achievement_rate = fields.Float(
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string='KPI Achievement (%)',
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compute='_compute_kpi_achievement_rate',
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store=True
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)
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@api.depends('child_ids.number_of_kpi')
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def _compute_kpi_achieved_subtask_sum(self):
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"""Sums the number_of_kpi from all direct sub-tasks"""
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for task in self:
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task.kpi_achieved_subtask_sum = sum(task.child_ids.mapped('number_of_kpi'))
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@api.depends('number_of_kpi', 'total_number_kpi')
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def _compute_kpi_achievement_rate(self):
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for task in self:
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if task.total_number_kpi > 0:
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task.kpi_achievement_rate = (task.number_of_kpi / task.total_number_kpi) * 100
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else:
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task.kpi_achievement_rate = 0.0
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@api.model_create_multi
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def create(self, vals_list):
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for vals in vals_list:
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if vals.get('ks_schedule_mode') == 'auto' and vals.get('ks_constraint_task_type') in ['asap', 'alap']:
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# Example: Set start date to today if auto mode
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if not vals.get('date_start'):
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vals['date_start'] = fields.Datetime.now()
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# Example: Auto-calculate deadline based on constraint
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if vals.get('ks_constraint_task_type') == 'asap':
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vals['date_deadline'] = vals.get('date_start') + timedelta(days=7)
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elif vals.get('ks_constraint_task_type') == 'alap':
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# ALAP logic here
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pass
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return super().create(vals_list)
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def write(self, vals):
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"""Override write to update parent when child KPI changes"""
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res = super().write(vals)
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# Check if number_of_kpi was updated in this write operation
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if 'number_of_kpi' in vals:
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for task in self:
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if task.parent_id:
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# Update the parent's KPI based on all its children
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task.parent_id._update_kpi_from_children()
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return res
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def _update_kpi_from_children(self):
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"""Calculates the sum of children KPI and updates the parent's number_of_kpi"""
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# Ensure we don't trigger infinite recursion by using a specific context or logic
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# Here we directly update the field via sudo to bypass some checks if needed,
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# but standard write is safer.
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if self.child_ids:
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total_achieved = sum(self.child_ids.mapped('number_of_kpi'))
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# Only update if different to avoid unnecessary triggers
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if self.number_of_kpi != total_achieved:
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# We use super().write to avoid triggering this same method again recursively
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# However, since we check 'number_of_kpi' in vals, we need to be careful.
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# To prevent recursion, we can check if the caller is already updating.
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# Simplest way in Odoo for this case:
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self.write({'number_of_kpi': total_achieved})
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# Note: The write above will trigger this method again for the Grandparent.
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# This is desired behavior (cascade update up the tree).
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# But we must ensure it doesn't trigger for the children again.
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# Since we only check 'if task.parent_id', and the parent doesn't have a parent_id relative to children,
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# it won't loop back down.
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