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import base64
import numpy as np
import random
import logging
import os
import json
import openai
from openai import OpenAIError
from time import sleep
def _throttled_openai_chat_completion_create(
client,
model: str,
messages,
temperature: float,
max_tokens: int,
top_p: float,
json_format: bool = False,
n: int = 1,
):
"""同步的OpenAI聊天补全函数，支持限流与重试"""
for _ in range(10): # 进行10次尝试
try:
if json_format:
return client.chat.completions.create(
model=model,
messages=messages,
temperature=temperature,
max_tokens=max_tokens,
top_p=top_p,
n=n,
response_format={"type": "json_object"},
)
else:
return client.chat.completions.create(
model=model,
messages=messages,
temperature=temperature,
max_tokens=max_tokens,
top_p=top_p,
n=n,
)
except openai.RateLimitError as e:
print("Rate limit exceeded, retrying...")
sleep(random.randint(10, 20)) # 增加重试等待时间
except openai.BadRequestError as e:
print(e)
return None
except OpenAIError as e:
print(e)
sleep(random.randint(5, 10))
return None
def generate_from_openai_chat_completion(
client,
messages,
engine_name: str,
temperature: float = 1.0,
max_tokens: int = 512,
top_p: float = 1.0,
requests_per_minute: int = 100,
json_format: bool = False,
n: int = 1,
):
"""同步生成OpenAI聊天补全"""
# delay = 60.0 / requests_per_minute
# sleep(delay) # 简单的限流处理
responses = [
_throttled_openai_chat_completion_create(
client,
model=engine_name,
messages=message,
temperature=temperature,
max_tokens=max_tokens,
top_p=top_p,
json_format=json_format,
n=n,
)
for message in messages
]
empty_dict = {
"question": "",
"options": {
"A": "",
"B": "",
"C": "",
"D": "",
},
"distractors": {
"E": "",
"F": "",
"G": "",
},
"correct_answer": ""
}
empty_str = ""
outputs = []
for response in responses:
if n == 1:
if json_format:
if response and response.choices[0] and response.choices[0].message and response.choices[0].message.content:
outputs.append(json.loads(response.choices[0].message.content))
else:
outputs.append(empty_dict)
else:
if response and response.choices[0] and response.choices[0].message and response.choices[0].message.content:
outputs.append(response.choices[0].message.content)
else:
outputs.append(empty_str)
else:
if json_format:
outputs.append([
json.loads(response.choices[i].message.content) if response and response.choices[i].message.content else empty_dict
for i in range(n)
])
else:
outputs.append([
response.choices[i].message.content if response and response.choices[i].message.content else empty_str
for i in range(n)
])
return outputs
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