import sys
sys.path.insert(0, r"C:\Users\tjcri\datasets\unbound-instruct\src")
from unbound.quality import score
from unbound.schema import Record, Turn
import random, importlib.util, pathlib

# Load current generator's make_output
import types, importlib.machinery
spec = importlib.util.spec_from_file_location("gen", r"C:\Users\tjcri\datasets\BlackTarot\generate_big.py")
loader = importlib.machinery.SourceFileLoader("gen", r"C:\Users\tjcri\datasets\BlackTarot\generate_big.py")
mod = types.ModuleType("gen")
code = open(r"C:\Users\tjcri\datasets\BlackTarot\generate_big.py", encoding="utf-8").read()
# exec only up to make_output
exec(code.split("def make_row")[0], globals())

random.seed(0)
def test_best_quality():
    # Desired: best quality >=0.99 with 4-turn + extended length
    scores = []
    for idx in range(20):
        cat = random.choice(["reasoning","coding","philosophy","debate","analysis"])
        topic = "quantum entanglement Bell inequalities"
        out1 = make_output(cat, topic, "test", idx)
        out2 = make_output(cat, topic, f"Follow-up {idx%5}", idx+1000000)
        out_combined = out1 + "\n\n" + out2
        # 4-turn for multi-turn bonus +0.05
        rec = Record(category=cat, turns=[Turn("user", "Explain "+topic), Turn("assistant", out1), Turn("user", f"Follow-up {idx%5}"), Turn("assistant", out2)], system="You are helpful")
        s = score(rec)
        # also test single-output long version (alpaca) - should also be high
        rec2 = Record(category=cat, turns=[Turn("user", "Explain "+topic), Turn("assistant", out_combined)], system="You are helpful")
        s2 = score(rec2)
        # use max of both (either 4-turn or long single)
        best = max(s.score, s2.score)
        scores.append(best)
        print(f"{idx} {cat} score4={s.score:.4f} score1={s2.score:.4f} best={best:.4f} len1={len(out1.split())} lenC={len(out_combined.split())} signals={s.signals}")
    mean = sum(scores)/len(scores)
    print(f"Mean quality {mean:.4f}")
    assert mean >= 0.99, f"Best quality target 0.99 failed, got {mean:.4f} — need longer, more structured outputs"

if __name__ == "__main__":
    test_best_quality()