import json import os import time from openai import OpenAI from tqdm import tqdm PATH_META = "./src/fuse_esdac/outputs/05_LLM_desc/column_meta.json" PATH_TEMPLATE = "./src/fuse_esdac/prompts/desc.txt" PATH_APIKEY = "./src/fuse_esdac/outputs/05_LLM_desc/apikey.txt" PATH_EXISTING = "./src/fuse_esdac/large_inputs/existing_descritpions.json" # === model selection === MODEL = "gpt-5" # change to "gpt-4o" / "gpt-4o-mini" / "gpt-4.1" etc. # === load key + template === client = OpenAI(api_key=open(PATH_APIKEY).read().strip()) prompt_template = open(PATH_TEMPLATE).read() # === init meta file if missing === if not os.path.exists(PATH_META): os.system(f"cp ./src/fuse_esdac/outputs/04_table/column_meta.json {PATH_META}") # === load existing descriptions once (if available) === if os.path.exists(PATH_EXISTING): with open(PATH_EXISTING) as f: existing_desc = json.load(f) else: existing_desc = {} new_generated = {} while True: with open(PATH_META) as f: col_meta = json.load(f) all_done = True for k, v in tqdm(col_meta.items()): # 1) already has description in current file if v.get("description"): continue # 2) try to reuse description from existing descriptions file if isinstance(existing_desc, dict) and existing_desc.get(k): v["description"] = existing_desc[k] with open(PATH_META, "w") as f: json.dump(col_meta, f, indent=2) continue # 3) need to call OpenAI to generate all_done = False input_dict = {k: v} prompt = prompt_template.format(input_dict=input_dict) # --- safe call with retry --- for _ in range(3): try: resp = client.chat.completions.create( model=MODEL, messages=[{"role": "user", "content": prompt}], ) answer = resp.choices[0].message.content.strip() break except Exception as e: print("API error, retrying in 5 sec:", e) time.sleep(5) else: answer = "" v["description"] = answer new_generated[k] = answer # do NOT write back to existing_desc # save immediate with open(PATH_META, "w") as f: json.dump(col_meta, f, indent=2) time.sleep(0.2) # rate limit safety if all_done: break print("\n=== Newly generated descriptions (NOT saved to existing_descritpions.json) ===") print(json.dumps(new_generated, indent=2, ensure_ascii=False))