"""Unit tests for anomaly_detection service."""

from odoo.tests.common import TransactionCase, tagged
from odoo.addons.fusion_accounting_reports.services.anomaly_detection import detect


@tagged('post_install', '-at_install')
class TestAnomalyDetection(TransactionCase):

    def test_returns_empty_when_no_comparison(self):
        report_result = {
            'rows': [{'id': 'r1', 'label': 'Test', 'amount': 100,
                      'amount_comparison': None, 'variance_pct': None}],
            'comparison_period': None,
        }
        self.assertEqual(detect(report_result), [])

    def test_flags_significant_increase(self):
        report_result = {
            'rows': [{'id': 'r1', 'label': 'Revenue',
                      'amount': 12000, 'amount_comparison': 10000,
                      'variance_pct': 20.0}],
            'comparison_period': {'date_from': '2025-01-01'},
        }
        anomalies = detect(report_result)
        self.assertEqual(len(anomalies), 1)
        self.assertEqual(anomalies[0]['direction'], 'increase')
        self.assertEqual(anomalies[0]['variance_amount'], 2000)

    def test_skips_below_absolute_threshold(self):
        report_result = {
            'rows': [{'id': 'r1', 'label': 'Tiny', 'amount': 50,
                      'amount_comparison': 30, 'variance_pct': 67}],
            'comparison_period': {'date_from': '2025-01-01'},
        }
        # variance is $20 < default $100 minimum
        self.assertEqual(detect(report_result), [])

    def test_skips_below_pct_threshold(self):
        report_result = {
            'rows': [{'id': 'r1', 'label': 'Steady',
                      'amount': 10500, 'amount_comparison': 10000,
                      'variance_pct': 5.0}],
            'comparison_period': {'date_from': '2025-01-01'},
        }
        # 5% < default 10%
        self.assertEqual(detect(report_result), [])

    def test_severity_high_for_50pct_plus(self):
        report_result = {
            'rows': [{'id': 'r1', 'label': 'Spike',
                      'amount': 16000, 'amount_comparison': 10000,
                      'variance_pct': 60.0}],
            'comparison_period': {'date_from': '2025-01-01'},
        }
        anomalies = detect(report_result)
        self.assertEqual(anomalies[0]['severity'], 'high')

    def test_orders_by_severity_then_amount(self):
        report_result = {
            'rows': [
                {'id': 'r1', 'label': 'Med', 'amount': 1300,
                 'amount_comparison': 1000, 'variance_pct': 30.0},
                {'id': 'r2', 'label': 'High', 'amount': 16000,
                 'amount_comparison': 10000, 'variance_pct': 60.0},
                {'id': 'r3', 'label': 'Low', 'amount': 1150,
                 'amount_comparison': 1000, 'variance_pct': 15.0},
            ],
            'comparison_period': {'date_from': '2025-01-01'},
        }
        anomalies = detect(report_result)
        # Should be: High first, then Med, then Low
        self.assertEqual(anomalies[0]['severity'], 'high')
        self.assertEqual(anomalies[-1]['severity'], 'low')