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import os
import requests
import logging
import openai
from contextlib import contextmanager
from tenacity import retry, wait_random_exponential, stop_after_attempt
# ## 处理代理：
# http_proxy = ""
# https_proxy = ""
# http_proxy = os.environ.get("HTTP_PROXY", http_proxy)
# https_proxy = os.environ.get("HTTPS_PROXY", https_proxy)
# # 重置系统变量，在不需要设置的时候不设置环境变量，以免引起全局代理报错
# os.environ["HTTP_PROXY"] = ""
# os.environ["HTTPS_PROXY"] = ""
# GPT_MODEL = "gpt-3.5-turbo-0613"
GPT_MODEL = "gpt-4"
@contextmanager
def retrieve_proxy(proxy=None):
"""
1, 如果proxy = NONE，设置环境变量，并返回最新设置的代理
2，如果proxy ！= NONE，更新当前的代理配置，但是不更新环境变量
"""
pass
# global http_proxy, https_proxy
# if proxy is not None:
# old_var = os.environ["HTTP_PROXY"], os.environ["HTTPS_PROXY"]
# os.environ["HTTP_PROXY"] = proxy
# os.environ["HTTPS_PROXY"] = proxy
# yield proxy, proxy
# # return old proxy
# os.environ["HTTP_PROXY"], os.environ["HTTPS_PROXY"] = old_var
# else:
# old_var = os.environ["HTTP_PROXY"], os.environ["HTTPS_PROXY"]
# os.environ["HTTP_PROXY"] = http_proxy
# os.environ["HTTPS_PROXY"] = https_proxy
# yield http_proxy, https_proxy # return new proxy
# # return old proxy
# os.environ["HTTP_PROXY"], os.environ["HTTPS_PROXY"] = old_var
@retry(wait=wait_random_exponential(multiplier=1, max=40), stop=stop_after_attempt(10))
def get_geoip(proxy=None):
try:
with retrieve_proxy(proxy):
response = requests.get("https://ipapi.co/json/", timeout=5)
data = response.json()
except Exception as e:
data = {"error": True, "reason": f"{e}"}
return e
country = data["country_name"]
if country == "China":
text = "**您的IP区域：中国。请立即检查代理设置，在不受支持的地区使用API可能导致账号被封禁。**"
logging.error(text)
return -1, text
else:
text = f"您的IP区域：{country}。"
logging.info(text)
return 1, text
@retry(wait=wait_random_exponential(multiplier=1, max=3), stop=stop_after_attempt(5))
def chat_completion_request(
messages,
functions=None,
function_call=None,
model=GPT_MODEL,
proxy=None,
**kwargs,
):
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer " + openai.api_key,
}
print(headers)
json_data = {"model": model, "messages": messages}
if functions is not None:
json_data.update({"functions": functions})
if function_call is not None:
json_data.update({"function_call": function_call})
if kwargs is not None:
json_data.update(kwargs)
# with retrieve_proxy(proxy):
try:
response = requests.post(
"https://api.openai.com/v1/chat/completions",
headers=headers,
json=json_data,
)
return response
except Exception as e:
print("Unable to generate ChatCompletion response")
print(f"Exception: {e}")
return e
def generate_messages(prompt):
messages = []
messages.append({"role": "system", "content": "You are an robot auto control code generator."})
messages.append({"role": "user", "content": f"{prompt}"})
return messages
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