from app.application.threshold_mapper import HateSpeechThresholdMapper, ThresholdConfig
from app.domain.entities import ClassificationLabel, ModelScores


def test_maps_hater_from_high_hate_speech_score():
    mapper = HateSpeechThresholdMapper(ThresholdConfig())

    result = mapper.map(ModelScores(hs=0.81, tr=0.10, ag=0.20))

    assert result.predicted_label == ClassificationLabel.HATER
    assert result.confidence == 0.81


def test_maps_critical_from_intermediate_hate_speech_score():
    mapper = HateSpeechThresholdMapper(ThresholdConfig())

    result = mapper.map(ModelScores(hs=0.29, tr=0.10, ag=0.20))

    assert result.predicted_label == ClassificationLabel.CRITICAL
    assert result.confidence == 0.29


def test_maps_neutral_when_scores_are_low():
    mapper = HateSpeechThresholdMapper(ThresholdConfig())

    result = mapper.map(ModelScores(hs=0.05, tr=0.10, ag=0.20))

    assert result.predicted_label == ClassificationLabel.NEUTRAL
    assert result.confidence == 0.80


def test_text_rule_maps_direct_death_expression_as_hater_even_with_low_scores():
    mapper = HateSpeechThresholdMapper(ThresholdConfig())

    result = mapper.map(
        ModelScores(
            hs=0.01,
            tr=0.01,
            ag=0.01,
            text="Esta publicacion es horrible, asqueroso, malo totalmente, infumable, muere",
        )
    )

    assert result.predicted_label == ClassificationLabel.HATER
    assert result.confidence == 0.95
    assert result.raw_response["rule_match"]["label"] == "hater"


def test_text_rule_maps_obvious_negative_opinion_as_critical_with_low_scores():
    mapper = HateSpeechThresholdMapper(ThresholdConfig())

    result = mapper.map(
        ModelScores(
            hs=0.01,
            tr=0.01,
            ag=0.01,
            text="Esta publicacion es horrible, no me gusta para nada",
        )
    )

    assert result.predicted_label == ClassificationLabel.CRITICAL
    assert result.confidence == 0.85
    assert result.raw_response["rule_match"]["label"] == "critico"