8659f51935
- 3 anomaly types: behind_schedule, ahead_of_schedule, low_utilization - 3 severity levels: low, medium, high - expected / actual / variance_pct (mirrors anomaly_detection service output) - 4-state lifecycle: new -> acknowledged -> resolved (or dismissed) - action_acknowledge / action_dismiss / action_resolve transitions - ondelete='cascade' on asset_id (anomalies follow the asset) - 4 new tests (63 total) Made-with: Cursor
43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
"""Persisted asset anomaly flags from the engine's variance detection."""
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from odoo import fields, models
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SEVERITY = [('low', 'Low'), ('medium', 'Medium'), ('high', 'High')]
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ANOMALY_TYPES = [
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('behind_schedule', 'Behind Schedule'),
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('ahead_of_schedule', 'Ahead of Schedule'),
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('low_utilization', 'Low Utilization'),
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]
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class FusionAssetAnomaly(models.Model):
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_name = "fusion.asset.anomaly"
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_description = "Flagged Asset Anomaly"
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_order = "detected_at desc, severity desc"
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asset_id = fields.Many2one('fusion.asset', required=True, ondelete='cascade')
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company_id = fields.Many2one(related='asset_id.company_id', store=True)
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anomaly_type = fields.Selection(ANOMALY_TYPES, required=True)
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severity = fields.Selection(SEVERITY, required=True)
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expected = fields.Float()
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actual = fields.Float()
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variance_pct = fields.Float()
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detail = fields.Text()
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detected_at = fields.Datetime(default=fields.Datetime.now, required=True)
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state = fields.Selection([
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('new', 'New'),
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('acknowledged', 'Acknowledged'),
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('resolved', 'Resolved'),
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('dismissed', 'Dismissed'),
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], default='new', required=True)
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def action_acknowledge(self):
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self.write({'state': 'acknowledged'})
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def action_dismiss(self):
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self.write({'state': 'dismissed'})
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def action_resolve(self):
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self.write({'state': 'resolved'})
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