"""Unit tests for route_after_evaluation — no LLM, no DB needed."""
from backend.graph.nodes import route_after_evaluation


def _state(**overrides) -> dict:
    """Build a minimal InterviewState dict for routing tests."""
    base = {
        "last_verdict": "strong",
        "turn_count": 1,
        "questions_remaining": [{"question_text": "Q2", "difficulty": "easy"}],
        "awaiting_counter_response": False,
    }
    base.update(overrides)
    return base


def test_shallow_not_in_counter_loop_routes_to_counter():
    state = _state(last_verdict="shallow", awaiting_counter_response=False)
    assert route_after_evaluation(state) == "counter"


def test_shallow_already_in_counter_loop_routes_to_next_question():
    state = _state(last_verdict="shallow", awaiting_counter_response=True, turn_count=2)
    assert route_after_evaluation(state) == "next_question"


def test_strong_routes_to_next_question():
    state = _state(last_verdict="strong", turn_count=1)
    assert route_after_evaluation(state) == "next_question"


def test_wrong_routes_to_next_question():
    state = _state(last_verdict="wrong", turn_count=1)
    assert route_after_evaluation(state) == "next_question"


def test_turn_count_8_routes_to_end():
    state = _state(last_verdict="strong", turn_count=8)
    assert route_after_evaluation(state) == "end"


def test_no_questions_remaining_routes_to_end():
    state = _state(last_verdict="strong", turn_count=3, questions_remaining=[])
    assert route_after_evaluation(state) == "end"


def test_every_4_turns_routes_to_summarize():
    state = _state(last_verdict="strong", turn_count=4)
    assert route_after_evaluation(state) == "summarize"


def test_turn_8_beats_summarize():
    # turn_count=8 should end, not summarize (end takes priority)
    state = _state(last_verdict="strong", turn_count=8)
    assert route_after_evaluation(state) == "end"