import sys
import unittest
from pathlib import Path


MODULE_DIR = Path(__file__).resolve().parents[1]
sys.path.insert(0, str(MODULE_DIR))

import train


class MetricsTests(unittest.TestCase):
    def test_classification_metrics_include_every_label(self):
        actual = list(range(8))
        predicted = [0, 1, 2, 3, 4, 5, 6, 0]
        metrics = train.classification_metrics(actual, predicted)
        self.assertEqual(7 / 8, metrics["accuracy"])
        self.assertEqual(0.0, metrics["perPurposeRecall"]["writing"])
        self.assertEqual(1.0, metrics["perPurposeRecall"]["planning"])

    def test_thresholds_preserve_confidence_nesting(self):
        probabilities = [0.99, 0.95, 0.85, 0.75, 0.65]
        margins = [0.95, 0.85, 0.60, 0.40, 0.20]
        correct = [True, True, True, False, False]
        thresholds = train.choose_confidence_thresholds(
            probabilities,
            margins,
            correct,
            high_precision=1.0,
            accepted_precision=0.75,
        )
        self.assertGreaterEqual(
            thresholds["high"]["minimumScore"],
            thresholds["medium"]["minimumScore"],
        )
        self.assertGreater(thresholds["medium"]["validationAcceptedCoverage"], 0)

    def test_expected_calibration_error_is_zero_for_perfect_extremes(self):
        self.assertEqual(
            0.0,
            train.expected_calibration_error([1.0, 0.0], [True, False]),
        )


if __name__ == "__main__":
    unittest.main()