134 lines
4.0 KiB
134 lines
4.0 KiB
import time
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import os
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from tqdm import tqdm
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import random
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import requests
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import json
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import threading
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from threading import Thread
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import redis
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lock = threading.RLock()
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pool = redis.ConnectionPool(host='104.244.90.248', port=63179, max_connections=50, db=10, password='Zhicheng123*')
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redis_ = redis.Redis(connection_pool=pool, decode_responses=True)
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with open("api_key.txt", "r",) as f:
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a = f.read()
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a = a.split("\n")
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redis_key_name_openaikey_bad_list = "openaikey_bad_list"
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redis_key_name_openaikey_list = "openaikey_list"
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redis_zirenwu = "redis_zirenwu"
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api_key_list = []
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for i in a:
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api_key_list.append(str(i.split("----")[-1]))
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for i in api_key_list:
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redis_.rpush(redis_key_name_openaikey_list, i)
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lock = threading.RLock()
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path_output = "chatgpt_data_v1"
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file_small_title = r'data/title_mulu_to_/small_title_prompt_shuffle.txt'
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file_references = r'data/title_mulu_to_/references_prompt.txt'
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file_zhaiyao = r'data/title_mulu_to_/zhaiyao_prompt.txt'
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file_task_book = r'data/jianjie_to_/task_book_prompt.txt'
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path_list = [file_small_title, file_references, file_zhaiyao, file_task_book]
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zirenwu_list = []
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for path in path_list:
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with open(path, encoding="utf-8") as f:
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type_prompt = path.split("/")[-1].split(".")[0]
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texts = f.readlines()
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for i in texts:
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zirenwu_list.append([type_prompt, json.loads(i)])
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import random
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random.shuffle(zirenwu_list)
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for i in zirenwu_list:
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redis_.rpush(redis_zirenwu, json.dumps(i))
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def request_api_chatgpt(api_key, task_type, prompt):
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t1 = time.time()
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global api_key_list
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global zirenwu_list
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try:
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OPENAI_API_KEY = api_key
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url = "https://api.openai.com/v1/chat/completions"
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {OPENAI_API_KEY}"
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}
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data = {
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"model": "gpt-3.5-turbo",
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"messages": [
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{"role": "user", "content": prompt},
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],
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"temperature": 0.5
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}
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response = requests.post(url,
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headers=headers,
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data=json.dumps(data),
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timeout=240)
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res = response.json()
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text = res["choices"][0]["message"]["content"]
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path_root = '/home/majiahui/mulu_ner/data/{}/paper_prompt_title_1_1'.format(path_output)
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if not os.path.exists(path_root):
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os.makedirs(path_root)
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lock.acquire()
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with open(path_root + "/sencend_{}_data.txt".format(task_type), mode="a") as f:
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f.write(prompt)
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f.write("*" * 20)
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f.write(text)
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f.write("@" * 20)
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lock.release()
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t2 = time.time()
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t_n = t2 - t1
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if t_n > 20:
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redis_.rpush(redis_key_name_openaikey_list, api_key)
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else:
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time.sleep(20 - t_n)
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redis_.rpush(redis_key_name_openaikey_list, api_key)
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except:
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time.sleep(20)
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lock.acquire()
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redis_.rpush(redis_key_name_openaikey_list, api_key)
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redis_.rpush(redis_zirenwu, json.dumps([type_prompt, prompt]))
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lock.release()
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if __name__ == '__main__':
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while True:
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if redis_.llen(redis_zirenwu) == 0:
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time.sleep(1)
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continue
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elif redis_.llen(redis_zirenwu) != 0 and redis_.llen(redis_key_name_openaikey_list) != 0:
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lock.acquire()
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api_key = redis_.lpop(redis_key_name_openaikey_list)
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api_key = api_key.decode('UTF-8')
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dan_zirenwu = redis_.lpop(redis_zirenwu)
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dan_zirenwu = dan_zirenwu.decode('UTF-8')
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lock.release()
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# dan_zirenwu = zirenwu_list.pop(0)
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dan_zirenwu = json.loads(dan_zirenwu)
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task_type, prompt = dan_zirenwu[0], dan_zirenwu[1]
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t = Thread(target=request_api_chatgpt, args=(api_key, task_type, prompt))
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t.start()
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elif redis_.llen(redis_key_name_openaikey_list) == 0:
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time.sleep(1)
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continue
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else:
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time.sleep(1)
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continue
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