a9ed1a23bd
- Added generated_sample_ids field to sale.order model - Override action_confirm() to intercept lab order confirmation - Implemented _generate_lab_samples() main logic method - Implemented _group_analyses_by_sample_type() for grouping - Implemented _create_sample_for_group() for sample creation - Added necessary fields to stock.lot model (doctor_id, origin, volume_ml, analysis_names) - Updated state field to include 'pending_collection' state - Added proper error handling and user notifications via message_post - Successful test with ephemeral instance restart
115 lines
3.7 KiB
Python
115 lines
3.7 KiB
Python
# -*- coding: utf-8 -*-
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from odoo import models, fields, api
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class StockLot(models.Model):
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_inherit = 'stock.lot'
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is_lab_sample = fields.Boolean(string='Is a Laboratory Sample')
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patient_id = fields.Many2one(
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'res.partner',
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string='Patient',
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domain="[('is_patient', '=', True)]"
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)
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request_id = fields.Many2one(
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'sale.order',
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string='Lab Request',
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domain="[('is_lab_request', '=', True)]"
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)
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collection_date = fields.Datetime(string='Collection Date')
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container_type = fields.Selection([
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('serum_tube', 'Serum Tube'),
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('edta_tube', 'EDTA Tube'),
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('swab', 'Swab'),
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('urine', 'Urine Container'),
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('other', 'Other')
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], string='Container Type (Legacy)', help='Deprecated field, use sample_type_product_id instead')
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sample_type_product_id = fields.Many2one(
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'product.template',
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string='Tipo de Muestra',
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domain="[('is_sample_type', '=', True)]",
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help="Producto que representa el tipo de contenedor/muestra"
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)
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collector_id = fields.Many2one(
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'res.users',
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string='Collected by',
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default=lambda self: self.env.user
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)
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doctor_id = fields.Many2one(
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'res.partner',
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string='Médico Referente',
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domain="[('is_doctor', '=', True)]",
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help="Médico que ordenó los análisis"
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)
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origin = fields.Char(
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string='Origen',
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help="Referencia a la orden de laboratorio que generó esta muestra"
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)
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volume_ml = fields.Float(
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string='Volumen (ml)',
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help="Volumen total de muestra requerido"
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)
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analysis_names = fields.Char(
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string='Análisis',
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help="Lista de análisis que se realizarán con esta muestra"
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)
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state = fields.Selection([
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('pending_collection', 'Pendiente de Recolección'),
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('collected', 'Recolectada'),
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('received', 'Recibida en Laboratorio'),
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('in_process', 'En Proceso'),
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('analyzed', 'Analizada'),
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('stored', 'Almacenada'),
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('disposed', 'Desechada')
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], string='Estado', default='collected', tracking=True)
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def action_receive(self):
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self.write({'state': 'received'})
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def action_start_analysis(self):
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self.write({'state': 'in_process'})
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def action_complete_analysis(self):
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self.write({'state': 'analyzed'})
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def action_store(self):
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self.write({'state': 'stored'})
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def action_dispose(self):
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self.write({'state': 'disposed'})
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@api.onchange('sample_type_product_id')
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def _onchange_sample_type_product_id(self):
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"""Synchronize container_type when sample_type_product_id changes"""
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if self.sample_type_product_id:
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# Try to map product name to legacy container type
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product_name = self.sample_type_product_id.name.lower()
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if 'suero' in product_name or 'serum' in product_name:
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self.container_type = 'serum_tube'
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elif 'edta' in product_name:
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self.container_type = 'edta_tube'
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elif 'hisopo' in product_name or 'swab' in product_name:
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self.container_type = 'swab'
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elif 'orina' in product_name or 'urine' in product_name:
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self.container_type = 'urine'
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else:
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self.container_type = 'other'
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def get_container_name(self):
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"""Get container name from product or legacy field"""
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if self.sample_type_product_id:
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return self.sample_type_product_id.name
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elif self.container_type:
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return dict(self._fields['container_type'].selection).get(self.container_type)
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return 'Unknown'
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