import os,json,time,re,sys,concurrent.futures as cf
from openai import OpenAI
from items import ITEMS
c=OpenAI(base_url="https://router.huggingface.co/v1",api_key=os.environ.get("HF_TOKEN","x"),timeout=180)
SUFFIX={"en":"\n\nReply with only the final answer (a number or a single word), nothing else.",
"ta":"\n\nஇறுதி விடையை மட்டும் (ஒரு எண் அல்லது ஒரு சொல்) கூறவும், வேறு எதுவும் வேண்டாம்.",
"tl":"\n\nFinal answer mattum sollunga (oru number illa oru word), vera edhuvum venaam."}
N=int(sys.argv[1]) if len(sys.argv)>1 else 2
jobs=[(it,l,s) for it in ITEMS for l in("en","ta","tl") for s in range(N)]
def run(j):
    it,l,s=j
    for a in range(8):
        try:
            t=time.time()
            r=c.chat.completions.create(model="reflection/Beam-1.0-501B-A23B",messages=[{"role":"user","content":it[l]+SUFFIX[l]}],max_tokens=6000)
            m=r.choices[0].message; u=r.usage
            rd=u.completion_tokens_details.reasoning_tokens if u.completion_tokens_details else None
            return dict(id=it["id"],cat=it["cat"],lang=l,sample=s,answer=it["answer"],aliases=it.get("aliases",[]),output=m.content,reasoning=getattr(m,"reasoning_content",None),
                prompt_tokens=u.prompt_tokens,completion_tokens=u.completion_tokens,reasoning_tokens=rd,latency=round(time.time()-t,2),finish=r.choices[0].finish_reason)
        except Exception as e:
            err=str(e); time.sleep(5*(a+1))
    return dict(id=it["id"],lang=l,sample=s,error=err)
import os.path
prev={}
if os.path.exists("raw_results.json"):
    for r in json.load(open("raw_results.json")):
        if "error" not in r: prev[(r["id"],r["lang"],r["sample"])]=r
todo=[j for j in jobs if (j[0]["id"],j[1],j[2]) not in prev]
print("todo",len(todo),flush=True)
with cf.ThreadPoolExecutor(4) as ex:
    for r in ex.map(run,todo): prev[(r["id"],r["lang"],r["sample"])]=r
out=list(prev.values())
json.dump(out,open("raw_results.json","w"),ensure_ascii=False,indent=1)
print(len(out),sum('error' in r for r in out))