gpt_academic / check_proxy.py
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def check_proxy(proxies):
import requests
proxies_https = proxies['https'] if proxies is not None else '无'
try:
response = requests.get("https://ipapi.co/json/", proxies=proxies, timeout=4)
data = response.json()
if 'country_name' in data:
country = data['country_name']
result = f"代理配置 {proxies_https}, 代理所在地:{country}"
elif 'error' in data:
alternative = _check_with_backup_source(proxies)
if alternative is None:
result = f"代理配置 {proxies_https}, 代理所在地:未知,IP查询频率受限"
else:
result = f"代理配置 {proxies_https}, 代理所在地:{alternative}"
else:
result = f"代理配置 {proxies_https}, 代理数据解析失败:{data}"
print(result)
return result
except:
result = f"代理配置 {proxies_https}, 代理所在地查询超时,代理可能无效"
print(result)
return result
def _check_with_backup_source(proxies):
import random, string, requests
random_string = ''.join(random.choices(string.ascii_letters + string.digits, k=32))
try: return requests.get(f"http://{random_string}.edns.ip-api.com/json", proxies=proxies, timeout=4).json()['dns']['geo']
except: return None
def backup_and_download(current_version, remote_version):
"""
一键更新协议:备份和下载
"""
from toolbox import get_conf
import shutil
import os
import requests
import zipfile
os.makedirs(f'./history', exist_ok=True)
backup_dir = f'./history/backup-{current_version}/'
new_version_dir = f'./history/new-version-{remote_version}/'
if os.path.exists(new_version_dir):
return new_version_dir
os.makedirs(new_version_dir)
shutil.copytree('./', backup_dir, ignore=lambda x, y: ['history'])
proxies = get_conf('proxies')
try: r = requests.get('https://github.com/binary-husky/chatgpt_academic/archive/refs/heads/master.zip', proxies=proxies, stream=True)
except: r = requests.get('https://public.gpt-academic.top/publish/master.zip', proxies=proxies, stream=True)
zip_file_path = backup_dir+'/master.zip'
with open(zip_file_path, 'wb+') as f:
f.write(r.content)
dst_path = new_version_dir
with zipfile.ZipFile(zip_file_path, "r") as zip_ref:
for zip_info in zip_ref.infolist():
dst_file_path = os.path.join(dst_path, zip_info.filename)
if os.path.exists(dst_file_path):
os.remove(dst_file_path)
zip_ref.extract(zip_info, dst_path)
return new_version_dir
def patch_and_restart(path):
"""
一键更新协议:覆盖和重启
"""
from distutils import dir_util
import shutil
import os
import sys
import time
import glob
from colorful import print亮黄, print亮绿, print亮红
# if not using config_private, move origin config.py as config_private.py
if not os.path.exists('config_private.py'):
print亮黄('由于您没有设置config_private.py私密配置,现将您的现有配置移动至config_private.py以防止配置丢失,',
'另外您可以随时在history子文件夹下找回旧版的程序。')
shutil.copyfile('config.py', 'config_private.py')
path_new_version = glob.glob(path + '/*-master')[0]
dir_util.copy_tree(path_new_version, './')
print亮绿('代码已经更新,即将更新pip包依赖……')
for i in reversed(range(5)): time.sleep(1); print(i)
try:
import subprocess
subprocess.check_call([sys.executable, '-m', 'pip', 'install', '-r', 'requirements.txt'])
except:
print亮红('pip包依赖安装出现问题,需要手动安装新增的依赖库 `python -m pip install -r requirements.txt`,然后在用常规的`python main.py`的方式启动。')
print亮绿('更新完成,您可以随时在history子文件夹下找回旧版的程序,5s之后重启')
print亮红('假如重启失败,您可能需要手动安装新增的依赖库 `python -m pip install -r requirements.txt`,然后在用常规的`python main.py`的方式启动。')
print(' ------------------------------ -----------------------------------')
for i in reversed(range(8)): time.sleep(1); print(i)
os.execl(sys.executable, sys.executable, *sys.argv)
def get_current_version():
import json
try:
with open('./version', 'r', encoding='utf8') as f:
current_version = json.loads(f.read())['version']
except:
current_version = ""
return current_version
def auto_update(raise_error=False):
"""
一键更新协议:查询版本和用户意见
"""
try:
from toolbox import get_conf
import requests
import json
proxies = get_conf('proxies')
try: response = requests.get("https://raw.githubusercontent.com/binary-husky/chatgpt_academic/master/version", proxies=proxies, timeout=5)
except: response = requests.get("https://public.gpt-academic.top/publish/version", proxies=proxies, timeout=5)
remote_json_data = json.loads(response.text)
remote_version = remote_json_data['version']
if remote_json_data["show_feature"]:
new_feature = "新功能:" + remote_json_data["new_feature"]
else:
new_feature = ""
with open('./version', 'r', encoding='utf8') as f:
current_version = f.read()
current_version = json.loads(current_version)['version']
if (remote_version - current_version) >= 0.01-1e-5:
from colorful import print亮黄
print亮黄(f'\n新版本可用。新版本:{remote_version},当前版本:{current_version}{new_feature}')
print('(1)Github更新地址:\nhttps://github.com/binary-husky/chatgpt_academic\n')
user_instruction = input('(2)是否一键更新代码(Y+回车=确认,输入其他/无输入+回车=不更新)?')
if user_instruction in ['Y', 'y']:
path = backup_and_download(current_version, remote_version)
try:
patch_and_restart(path)
except:
msg = '更新失败。'
if raise_error:
from toolbox import trimmed_format_exc
msg += trimmed_format_exc()
print(msg)
else:
print('自动更新程序:已禁用')
return
else:
return
except:
msg = '自动更新程序:已禁用。建议排查:代理网络配置。'
if raise_error:
from toolbox import trimmed_format_exc
msg += trimmed_format_exc()
print(msg)
def warm_up_modules():
print('正在执行一些模块的预热 ...')
from toolbox import ProxyNetworkActivate
from request_llms.bridge_all import model_info
with ProxyNetworkActivate("Warmup_Modules"):
enc = model_info["gpt-3.5-turbo"]['tokenizer']
enc.encode("模块预热", disallowed_special=())
enc = model_info["gpt-4"]['tokenizer']
enc.encode("模块预热", disallowed_special=())
def warm_up_vectordb():
print('正在执行一些模块的预热 ...')
from toolbox import ProxyNetworkActivate
with ProxyNetworkActivate("Warmup_Modules"):
import nltk
with ProxyNetworkActivate("Warmup_Modules"): nltk.download("punkt")
if __name__ == '__main__':
import os
os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染
from toolbox import get_conf
proxies = get_conf('proxies')
check_proxy(proxies)