# -*- coding: utf-8 -*-
# Copyright 2026 Nexa Systems Inc.
# License OPL-1 (Odoo Proprietary License v1.0)
# Part of the Fusion Plating product family.

from odoo import api, fields, models


class FpExposureMonitoring(models.Model):
    """An exposure monitoring sample.

    A monitoring event captures one measurement of a worker's or area's
    exposure to a hazardous agent — air contaminant, biological marker,
    noise or vibration. The result is compared against an Occupational
    Exposure Limit (OEL), most commonly the time-weighted average (TWA)
    or short-term exposure limit (STEL) published by the relevant
    jurisdiction (e.g. Ontario Reg. 833 in Canada).

    The percent-of-OEL is calculated automatically and the record is
    classified as below, approaching or exceeding the limit, providing
    an early warning when controls need to be tightened.
    """
    _name = 'fusion.plating.exposure.monitoring'
    _description = 'Fusion Plating — Exposure Monitoring'
    _inherit = ['mail.thread', 'mail.activity.mixin']
    _order = 'sample_date desc, id desc'
    _rec_name = 'name'

    name = fields.Char(
        string='Reference',
        required=True,
        copy=False,
        readonly=True,
        default=lambda self: self._default_name(),
        tracking=True,
    )
    employee_id = fields.Many2one(
        'hr.employee',
        string='Employee',
        ondelete='set null',
        tracking=True,
    )
    facility_id = fields.Many2one(
        'fusion.plating.facility',
        string='Facility',
        tracking=True,
    )
    sample_date = fields.Date(
        string='Sample Date',
        required=True,
        default=fields.Date.context_today,
        tracking=True,
    )
    sample_type = fields.Selection(
        [
            ('personal_air', 'Personal Air'),
            ('area_air', 'Area Air'),
            ('biological', 'Biological'),
            ('noise', 'Noise'),
            ('vibration', 'Vibration'),
        ],
        string='Sample Type',
        default='personal_air',
        required=True,
        tracking=True,
    )
    substance = fields.Char(
        string='Substance / Agent',
        tracking=True,
    )
    concentration = fields.Float(
        string='Concentration',
        tracking=True,
    )
    uom = fields.Char(
        string='Unit of Measure',
        help='Free-text unit, e.g. mg/m3, ppm, dBA.',
    )
    oel_reference = fields.Char(
        string='OEL Reference',
        help='Citation for the exposure limit, e.g. "Ontario Reg. 833 TWA".',
    )
    oel_limit = fields.Float(
        string='OEL Limit',
    )
    percent_of_oel = fields.Float(
        string='% of OEL',
        compute='_compute_percent_of_oel',
        store=True,
    )
    result = fields.Selection(
        [
            ('below', 'Below'),
            ('approaching', 'Approaching'),
            ('exceed', 'Exceeds'),
        ],
        string='Result',
        compute='_compute_result',
        store=True,
        tracking=True,
    )
    notes = fields.Html(
        string='Notes',
    )
    company_id = fields.Many2one(
        'res.company',
        string='Company',
        default=lambda self: self.env.company,
    )
    active = fields.Boolean(default=True)

    # ==========================================================================
    # Defaults
    # ==========================================================================
    @api.model
    def _default_name(self):
        seq = self.env['ir.sequence'].next_by_code('fusion.plating.exposure.monitoring')
        return seq or '/'

    # ==========================================================================
    # Computes
    # ==========================================================================
    @api.depends('concentration', 'oel_limit')
    def _compute_percent_of_oel(self):
        for rec in self:
            if rec.oel_limit:
                rec.percent_of_oel = (rec.concentration / rec.oel_limit) * 100.0
            else:
                rec.percent_of_oel = 0.0

    @api.depends('percent_of_oel')
    def _compute_result(self):
        for rec in self:
            if rec.percent_of_oel >= 100.0:
                rec.result = 'exceed'
            elif rec.percent_of_oel >= 50.0:
                rec.result = 'approaching'
            else:
                rec.result = 'below'