"""Unit tests for the deterministic coaching-preference generator."""
from app.services.coaching import ALLOWED, generate_preferences


def test_gut_defaults_are_direct_and_high_friction():
    p = generate_preferences({"triad": "gut"})
    assert p["coaching_style"] == "direct"
    assert p["friction_tolerance"] == "high"
    assert p["prefer_questions_over_directives"] is False


def test_head_defaults_are_reflective_and_questions():
    p = generate_preferences({"triad": "head"})
    assert p["coaching_style"] == "reflective"
    assert p["coaching_frequency"] == "biweekly"
    assert p["prefer_questions_over_directives"] is True


def test_heart_defaults_are_warm_low_threshold():
    p = generate_preferences({"triad": "heart"})
    assert p["coaching_style"] == "warm"
    assert p["misalignment_threshold"] == "low"


def test_unknown_triad_uses_gentle_fallback():
    p = generate_preferences({"triad": None})
    assert p["coaching_style"] == "warm"
    assert p["prefer_questions_over_directives"] is True


def test_all_generated_values_are_within_allowed_sets():
    for triad in ("gut", "heart", "head", None, "weird"):
        p = generate_preferences({"triad": triad})
        for field, allowed in ALLOWED.items():
            assert p[field] in allowed, (triad, field, p[field])
        assert isinstance(p["prefer_questions_over_directives"], bool)