28892f56b5
Each button_start opens a fresh timelog row; button_finish closes the open row and recomputes step.duration_actual as the sum of all interval durations. Replicates Odoo MRP's mrp.workorder.time_ids granularity natively (no mrp dep). Schema: step_id (M2O cascade), user_id, date_started, date_finished, duration_minutes (computed, stored). ACLs: operator get create permission on timelogs because button_start creates them. Tests: test_start_creates_timelog (asserts the log row exists, date_finished is False, user_id is the current user) and test_finish_closes_timelog (asserts log gets date_finished, has a non-negative duration, and step.duration_actual matches). Manifest 19.0.8.5.1 -> 19.0.8.6.0. Part of: native job model migration (spec 2026-04-25) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2026 Nexa Systems Inc.
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# License OPL-1 (Odoo Proprietary License v1.0)
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#
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# fp.job.step.timelog — granular start/stop intervals for a step.
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#
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# Each step.button_start() opens a fresh timelog row. Each
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# step.button_finish() (or button_pause once added) closes the open
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# row. duration_actual on fp.job.step is the sum of these intervals.
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#
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# Replicates Odoo MRP's mrp.workorder.time_ids granularity natively
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# (without depending on the mrp module).
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from odoo import api, fields, models
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class FpJobStepTimeLog(models.Model):
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_name = 'fp.job.step.timelog'
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_description = 'Plating Job Step Time Log'
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_order = 'date_started desc'
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step_id = fields.Many2one(
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'fp.job.step',
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required=True,
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ondelete='cascade',
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index=True,
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)
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user_id = fields.Many2one('res.users', required=True)
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date_started = fields.Datetime(required=True)
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date_finished = fields.Datetime()
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duration_minutes = fields.Float(
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compute='_compute_duration', store=True,
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)
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@api.depends('date_started', 'date_finished')
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def _compute_duration(self):
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for log in self:
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if log.date_started and log.date_finished:
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delta = log.date_finished - log.date_started
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log.duration_minutes = delta.total_seconds() / 60.0
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else:
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log.duration_minutes = 0.0
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