import os,json,time,threading,concurrent.futures as cf,sys
from openai import OpenAI
from translit import tanglish
from hard import H
from writing import W
T0=time.time(); BUDGET=1080
c=OpenAI(base_url="https://router.huggingface.co/v1",api_key=os.environ.get("HF_TOKEN","x"),timeout=240)
en={(d["link"],d["question_number"]):d for d in map(json.loads,open("eng_Latn.jsonl"))}
ta={(d["link"],d["question_number"]):d for d in map(json.loads,open("tam_Taml.jsonl"))}
keys=sorted(k for k in ta if k in en)
INS={"en":"Answer with only the number of the correct option (1, 2, 3 or 4).","ta":"சரியான விடையின் எண்ணை மட்டும் (1, 2, 3 அல்லது 4) கூறவும்."}
def bprompt(k,cond):
    if cond=="translit": return tanglish(bprompt(k,"ta").rsplit("\n\n",1)[0])+"\n\nCorrect option number mattum sollunga (1, 2, 3 illa 4)."
    P=(ta if cond in("ta","mix") else en)[k]; Q=(ta if cond=="ta" else en)[k]
    lab={"en":("Passage","Question","Options"),"ta":("பத்தி","கேள்வி","விடைகள்")}["ta" if cond=="ta" else "en"]
    opts="\n".join(f"{i}. {Q['mc_answer'+str(i)]}" for i in range(1,5))
    return f"{lab[0]}:\n{P['flores_passage']}\n\n{lab[1]}: {Q['question']}\n\n{lab[2]}:\n{opts}\n\n{INS['ta' if cond=='ta' else 'en']}"
SUF="\n\nஇறுதி விடையை மட்டும் கூறவும், வேறு எதுவும் வேண்டாம்."
jobs=[]
for h in H:
    for s in range(3): jobs.append(("hard",h["id"],s,h["ta"]+SUF,{}))
for w in W: jobs.append(("write",w["id"],0,w["prompt"],{}))
for cd in ("en","ta","mix","translit"):
    for k in keys: jobs.append(("belebele",f"{k[0]}#{k[1]}",cd,bprompt(k,cd),{"gold":str(en[k]["correct_answer_num"])}))
OUT="all_raw.jsonl"; done=set(); lock=threading.Lock()
if os.path.exists(OUT):
    for l in open(OUT): r=json.loads(l); done.add((r["split"],r["id"],str(r["cond"])))
# migrate earlier belebele
if os.path.exists("belebele_raw.jsonl") and not os.path.exists(".migrated"):
    with open(OUT,"a") as f:
        for l in open("belebele_raw.jsonl"):
            r=json.loads(l); rid=f"{r['link']}#{r['qn']}"
            if ("belebele",rid,r["cond"]) in done: continue
            rec=dict(split="belebele",id=rid,cond=r["cond"],gold=r["gold"],**{k:r[k] for k in("output","prompt_tokens","completion_tokens","reasoning_tokens","latency","finish")})
            f.write(json.dumps(rec,ensure_ascii=False)+"\n"); done.add(("belebele",rid,r["cond"]))
    open(".migrated","w").write("1")
todo=[j for j in jobs if (j[0],j[1],str(j[2])) not in done]
print("todo",len(todo),flush=True)
down=threading.Event()
def run(j):
    split,id_,cond,content,extra=j
    while time.time()-T0<BUDGET:
        try:
            t=time.time()
            r=c.chat.completions.create(model="reflection/Beam-1.0-501B-A23B",messages=[{"role":"user","content":content}],max_tokens=6000)
            m=r.choices[0].message;u=r.usage
            rec=dict(split=split,id=id_,cond=cond,**extra,output=m.content,prompt_tokens=u.prompt_tokens,completion_tokens=u.completion_tokens,reasoning_tokens=u.completion_tokens_details.reasoning_tokens if u.completion_tokens_details else None,latency=round(time.time()-t,2),finish=r.choices[0].finish_reason)
            with lock: open(OUT,"a").write(json.dumps(rec,ensure_ascii=False)+"\n")
            return 1
        except Exception as e:
            time.sleep(20)
    return 0
with cf.ThreadPoolExecutor(10) as ex: n=sum(ex.map(run,todo))
print("ok",n,"left",len(todo)-n,flush=True)