import hashlib, json, random
from huggingface_hub import hf_hub_download

random.seed(42)


def conv(path, cap):
    rows = []
    for line in open(path):
        r = json.loads(line)
        qs, tgts = [], []
        for qid, q in r["questions"].items():
            t = q["type"]
            if t == "noul":
                p = float(q["reference"])
                if not 0.0 <= p <= 1.0:
                    continue
                qs.append({"kind": "noul", "options": ["false", "true"],
                           "text": q["instructions"], "unknown_allowed": False})
                tgts.append([1.0 - p, p])
            elif t == "choice":
                crit = q["criteria"]
                keys = list(crit.keys())
                ref = q["reference"]
                if any(k not in ref for k in keys) or len(keys) < 2:
                    continue
                qs.append({"kind": "choice", "options": [f"{k}: {crit[k]}" for k in keys],
                           "text": q["instructions"], "unknown_allowed": False})
                tgts.append([float(ref[k]) for k in keys])
            elif t == "score":
                crit, ref = q["criteria"], q["reference"]
                if len(crit) != len(ref):
                    continue
                qs.append({"kind": "score", "options": [f"{i} - {c}" for i, c in enumerate(crit)],
                           "text": q["instructions"], "unknown_allowed": False})
                tgts.append([float(x) for x in ref])
        if not qs:
            continue
        st = r["state"] if isinstance(r["state"], str) else json.dumps(r["state"], sort_keys=True)
        gid = hashlib.sha256(st.encode()).hexdigest()[:16]
        rows.append({"state": st, "id": f"rlcd:{r.get('domain','?')}:{gid}:{len(rows)}",
                     "questions": qs, "targets": tgts,
                     "source": f"rlcd:{r.get('domain','?')}", "group_id": f"rlcd:{gid}"})
        if len(rows) >= cap:
            break
    return rows


tr = conv(hf_hub_download("soyrsoyr/openjev-rlcd-v0", "train.jsonl", repo_type="dataset"), 26000)
dv = conv(hf_hub_download("soyrsoyr/openjev-rlcd-v0", "val.jsonl", repo_type="dataset"), 4000)
trg = {r["group_id"] for r in tr}
dv = [r for r in dv if r["group_id"] not in trg]
random.shuffle(tr)
with open("/root/alea/data/rlcd_train.jsonl", "w") as f:
    for r in tr:
        f.write(json.dumps(r) + "\n")
with open("/root/alea/data/rlcd_dev.jsonl", "w") as f:
    for r in dv:
        f.write(json.dumps(r) + "\n")
print({"train": len(tr), "dev": len(dv),
       "train_qs": sum(len(r["questions"]) for r in tr),
       "kinds": {k: sum(1 for r in tr for q in r["questions"] if q["kind"] == k)
                 for k in ("choice", "noul", "score")}})