import hashlib
import json
import random

random.seed(15)


def fingerprint(row):
    state = row["state"] if isinstance(row["state"], str) else json.dumps(
        row["state"], sort_keys=True)
    questions = json.dumps(row["questions"], sort_keys=True)
    return hashlib.md5((state + questions).encode()).hexdigest()


def load(path):
    try:
        with open(path, encoding="utf-8") as f:
            return [json.loads(line) for line in f]
    except FileNotFoundError:
        print("missing", path)
        return []


spec = [("data/adjud_train.jsonl", 16000, 1),
        ("data/jb7_train.jsonl", 6000, 1),
        ("data/jb6_train.jsonl", 5000, 1),
        ("data/sft_v6.jsonl", 3000, 1),
        ("data/sft_v8b.jsonl", 2000, 1),
        ("data/hf4.jsonl", 4000, 1),
        ("data/hf3b.jsonl", 3000, 1),
        ("data/hf2b.jsonl", 3000, 1),
        ("data/hf5_bb.jsonl", 1500, 1),
        ("data/rl_sft_v9.jsonl", 1500, 1),
        ("data/sft_v9.jsonl", 1500, 1)]

seen = set()
train = []
for path, cap, copies in spec:
    rows = load(path)
    random.shuffle(rows)
    kept = 0
    for row in rows:
        h = fingerprint(row)
        if h in seen:
            continue
        seen.add(h)
        row["id"] = f"v15:{path.split('/')[-1]}:{kept}:{h[:8]}"
        train.append(row)
        kept += 1
        if kept >= cap:
            break
    print(path, kept)

rendered = load("data/adjud_rendered.jsonl")
unique_rendered = {}
for row in rendered:
    unique_rendered.setdefault(fingerprint(row), row)
rendered = list(unique_rendered.values())
random.shuffle(rendered)
repeat = 8
for rep in range(repeat):
    for i, row in enumerate(rendered):
        clone = dict(row)
        clone["id"] = f"v15:render:{rep}:{i}:{fingerprint(row)[:8]}"
        if clone.get("group_id"):
            clone["group_id"] = f"{clone['group_id']}-v15r{rep}"
        train.append(clone)
print("rendered unique", len(rendered), "repeated", len(rendered) * repeat)
random.shuffle(train)
with open("data/v15_mix.jsonl", "w", encoding="utf-8") as f:
    for row in train:
        f.write(json.dumps(row, ensure_ascii=False) + "\n")

train_fps = {fingerprint(row) for row in train}
dev, dev_seen = [], set()
for path in ("data/adjud_dev.jsonl", "data/jb6_dev.jsonl", "data/jb7_dev.jsonl"):
    for row in load(path):
        h = fingerprint(row)
        if h in train_fps or h in dev_seen:
            continue
        dev_seen.add(h)
        row["id"] = f"v15dev:{path.split('/')[-1]}:{len(dev)}:{h[:8]}"
        dev.append(row)
with open("data/v15_dev.jsonl", "w", encoding="utf-8") as f:
    for row in dev:
        f.write(json.dumps(row, ensure_ascii=False) + "\n")
print("train", len(train), "dev", len(dev), "train/dev overlap", len(train_fps & dev_seen))