from openai import OpenAI
import json, os

with open("/home/mshahidul/readctrl/prompts/subclaims_extraction_vali.txt", "r") as f:
    prompt_template = f.read()


api_file = "/home/mshahidul/api_new.json"
with open(api_file, "r") as f:
    api_keys = json.load(f)
openai_api_key = api_keys["openai"]

client = OpenAI(api_key=openai_api_key)


def openai_return(prompt, model="gpt-5"):
    """Send a prompt to GPT and parse JSON."""
    response = client.chat.completions.create(
        model=model,
        messages=[
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": prompt}
        ]
    )
    content = response.choices[0].message.content.strip()
    cleaned = content.replace("```json", "").replace("```", "").strip()
    try:
        return json.loads(cleaned)
    except json.JSONDecodeError:
        print("⚠️ JSON parse failed — storing raw text.")
        return cleaned

with open("/home/mshahidul/readctrl/data/extracting_subclaim/extracted_subclaims_full_data.json", "r") as f:
    data = json.load(f)

save_path="/home/mshahidul/readctrl/data/model_validity_check/subclaims_validity_check_v1.json"
res=[]
if os.path.exists(save_path):
    with open(save_path, "r") as f:
        res = json.load(f)
import tqdm
for i in tqdm.tqdm(range(5)):
    for label in ["easy", "intermediate", "hard"]:
        new_prompt = prompt_template.replace("<<<TEXT>>>",data[i][f"{label}_text"]).replace("<<<SUBCLAIMS>>>", json.dumps(data[i][f"{label}_subclaims"], indent=2, ensure_ascii=False))
        # import ipdb; ipdb.set_trace()
        sample = openai_return(new_prompt, model="gpt-5")

        res.append(sample)
        if len(res) % 2 == 0:
            with open(save_path, "w") as f:
                json.dump(res, f, indent=2, ensure_ascii=False)
            print(f"Saved {len(res)} samples so far.")

with open(save_path, "w") as f:
    json.dump(res, f, indent=2, ensure_ascii=False)