import logging

from odoo import models, api

_logger = logging.getLogger(__name__)


class FusionAccountingScoring(models.AbstractModel):
    _name = 'fusion.accounting.scoring'
    _description = 'Fusion Accounting Confidence Scoring'

    def calculate_confidence(self, tool_name, scenario_key=None):
        domain = [('tool_name', '=', tool_name)]
        if scenario_key:
            domain.append(('tool_params', 'ilike', scenario_key))
        history = self.env['fusion.accounting.match.history'].search(domain)
        if not history:
            return 0.0
        decided = history.filtered(lambda h: h.decision in ('approved', 'rejected'))
        if not decided:
            return 0.0
        approved = len(decided.filtered(lambda h: h.decision == 'approved'))
        return approved / len(decided)

    def check_promotions(self):
        ICP = self.env['ir.config_parameter'].sudo()
        threshold = float(ICP.get_param('fusion_accounting.tier3_threshold', '0.95'))
        min_sample = int(ICP.get_param('fusion_accounting.tier3_min_sample', '30'))

        rules = self.env['fusion.accounting.rule'].search([
            ('active', '=', True),
            ('approval_tier', '=', 'needs_approval'),
        ])
        promoted = self.env['fusion.accounting.rule']
        for rule in rules:
            if rule.total_uses >= min_sample and rule.confidence_score >= threshold:
                rule.approval_tier = 'auto'
                promoted |= rule
                _logger.info(
                    "Promoted rule '%s' to auto (confidence=%.2f, sample=%d)",
                    rule.name, rule.confidence_score, rule.total_uses,
                )
        return promoted

    def get_tool_stats(self, tool_name=None):
        domain = []
        if tool_name:
            domain.append(('tool_name', '=', tool_name))
        history = self.env['fusion.accounting.match.history'].search(domain)

        stats = {}
        for h in history:
            if h.tool_name not in stats:
                stats[h.tool_name] = {
                    'total': 0, 'approved': 0, 'rejected': 0,
                    'pending': 0, 'auto': 0,
                }
            stats[h.tool_name]['total'] += 1
            if h.decision in stats[h.tool_name]:
                stats[h.tool_name][h.decision] += 1
        return stats