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🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
107 lines
2.7 KiB
Python
107 lines
2.7 KiB
Python
# Copyright 2019 Onestein
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# Copyright 2020 Manuel Calero - Tecnativa
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# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl).
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from odoo import api, fields, models
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class ProjectRisk(models.Model):
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_inherit = ["mail.thread"]
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_name = "project.risk"
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_description = "Project Risk"
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project_id = fields.Many2one(comodel_name="project.project", required=True)
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project_risk_category_id = fields.Many2one(
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string="Category",
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comodel_name="project.risk.category",
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required=True,
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)
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name = fields.Char(required=1)
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description = fields.Html()
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probability = fields.Selection(
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required=True,
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selection=[
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("1", "Rare"),
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("2", "Unlikely"),
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("3", "Possible"),
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("4", "Likely"),
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("5", "Very likely"),
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],
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tracking=True,
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)
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impact = fields.Selection(
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required=True,
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selection=[
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("1", "Trivial"),
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("2", "Minor"),
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("3", "Moderate"),
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("4", "Significant"),
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("5", "Extreme"),
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],
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)
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rating = fields.Selection(
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compute="_compute_rating",
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store=True,
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selection=[
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("1", "N/A"),
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("2", "Trivial"),
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("3", "Very Low"),
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("4", "Low"),
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("5", "Low-Medium"),
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("6", "Medium"),
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("7", "Medium-High"),
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("8", "High"),
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("9", "Very High"),
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("10", "Critical"),
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],
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)
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proximity = fields.Selection(
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selection=[
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("1", "Very low"),
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("2", "Low"),
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("3", "Medium"),
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("4", "High"),
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("5", "Very High"),
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("6", "Imminent"),
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],
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tracking=True,
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)
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project_risk_response_category_id = fields.Many2one(
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comodel_name="project.risk.response.category",
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string="Response Category",
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)
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state = fields.Selection(
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selection=[("draft", "Draft"), ("active", "Active"), ("closed", "Closed")],
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default="draft",
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tracking=True,
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)
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owner_id = fields.Many2one(string="Owner", comodel_name="res.users", tracking=True)
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actionee_id = fields.Many2one(
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string="Actionee",
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comodel_name="res.users",
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tracking=True,
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)
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project_risk_response_ids = fields.One2many(
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string="Response",
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comodel_name="project.risk.response",
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inverse_name="project_risk_id",
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)
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@api.depends("probability", "impact")
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def _compute_rating(self):
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for risk in self:
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risk.rating = False
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if risk.probability and risk.impact:
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risk.rating = str(int(risk.probability) + int(risk.impact))
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