import json, random, time, threading
from concurrent.futures import ThreadPoolExecutor
from pathlib import Path
from buddhagpt.llm import openrouter_client, chat
from buddhagpt.datagen import build_messages, parse_pairs, dedupe

# NOTE: OpenRouter lists this model under the tilde-prefixed "latest" alias id.
MODEL = "~deepseek/deepseek-v4-flash-latest"
suttas = [json.loads(l) for l in Path("corpus/suttas.jsonl").read_text().splitlines()]
random.seed(7)
qualifying = [s for s in suttas if len(s["text"]) > 800]  # only 2304 suttas qualify (corpus is
                                                            # smaller than assumed) — cycle through
                                                            # them with rotating template variants
                                                            # to reach the target call volume instead
                                                            # of random.sample()'ing more than exist.
TARGET_CALLS = 3200
sample = []  # list of (sutta, variant) tuples
pass_num = 0
while len(sample) < TARGET_CALLS:
    order = qualifying[:]
    random.shuffle(order)
    for s in order:
        if len(sample) >= TARGET_CALLS:
            break
        sample.append((s, pass_num))
    pass_num += 1

client = openrouter_client()
totals = {"input": 0, "output": 0}
fail_count = 0
done_count = 0
raw_count = 0
start = time.time()
lock = threading.Lock()

Path("data").mkdir(parents=True, exist_ok=True)
raw_path = Path("data/instructions_raw.jsonl")
raw_f = raw_path.open("a")  # append: incremental persistence, survives interruption

def gen_one(args):
    global fail_count, done_count, raw_count
    s, variant = args
    try:
        text, usage = chat(client, MODEL, build_messages(s, variant), max_tokens=2000)
    except Exception as e:
        with lock:
            fail_count += 1
        print(f"skip {s['uid']}: {e}", flush=True)
        return
    pairs = parse_pairs(text, uid=s["uid"])
    with lock:
        totals["input"] += usage["input"]; totals["output"] += usage["output"]
        done_count += 1
        raw_count += len(pairs)
        for p in pairs:
            raw_f.write(json.dumps(p) + "\n")
        raw_f.flush()
        if done_count % 100 == 0:
            elapsed = time.time() - start
            print(f"progress {done_count}/{len(sample)} | fails {fail_count} | "
                  f"raw_pairs {raw_count} | {elapsed:.0f}s elapsed", flush=True)

with ThreadPoolExecutor(max_workers=8) as pool:
    list(pool.map(gen_one, sample))

raw_f.close()

fail_rate = fail_count / len(sample)
print(f"calls: {len(sample)} | failed: {fail_count} ({fail_rate:.1%}) | raw pairs parsed: {raw_count}", flush=True)

pairs = [json.loads(l) for l in raw_path.read_text().splitlines() if l.strip()]
pairs = [p for p in pairs if 60 <= len(p["answer"].split()) <= 400]
print(f"pairs after word-count filter: {len(pairs)}", flush=True)
pairs = dedupe(pairs)
with Path("data/instructions.jsonl").open("w") as f:
    for p in pairs:
        f.write(json.dumps({"messages": [
            {"role": "user", "content": p["question"]},
            {"role": "assistant", "content": p["answer"]},
        ]}) + "\n")
# deepseek-v4-flash list price ~$0.08/M in, $0.16/M out
print(len(pairs), "pairs | tokens", totals, "| est cost $%.2f" % (totals["input"]/1e6*0.08 + totals["output"]/1e6*0.16), flush=True)