Chat_GPT_Paid / modules /config.py
bingbing520's picture
Duplicate from JohnSmith9982/ChuanhuChatGPT
4fc2bd8
from collections import defaultdict
from contextlib import contextmanager
import os
import logging
import sys
import commentjson as json
from . import shared
from . import presets
__all__ = [
"my_api_key",
"authflag",
"auth_list",
"dockerflag",
"retrieve_proxy",
"log_level",
"advance_docs",
"update_doc_config",
"usage_limit",
"multi_api_key",
"server_name",
"server_port",
"share",
"hide_history_when_not_logged_in",
"default_chuanhu_assistant_model"
]
# 添加一个统一的config文件,避免文件过多造成的疑惑(优先级最低)
# 同时,也可以为后续支持自定义功能提供config的帮助
if os.path.exists("config.json"):
with open("config.json", "r", encoding='utf-8') as f:
config = json.load(f)
else:
config = {}
lang_config = config.get("language", "auto")
language = os.environ.get("LANGUAGE", lang_config)
hide_history_when_not_logged_in = config.get("hide_history_when_not_logged_in", False)
if os.path.exists("api_key.txt"):
logging.info("检测到api_key.txt文件,正在进行迁移...")
with open("api_key.txt", "r", encoding="utf-8") as f:
config["openai_api_key"] = f.read().strip()
os.rename("api_key.txt", "api_key(deprecated).txt")
with open("config.json", "w", encoding='utf-8') as f:
json.dump(config, f, indent=4, ensure_ascii=False)
if os.path.exists("auth.json"):
logging.info("检测到auth.json文件,正在进行迁移...")
auth_list = []
with open("auth.json", "r", encoding='utf-8') as f:
auth = json.load(f)
for _ in auth:
if auth[_]["username"] and auth[_]["password"]:
auth_list.append((auth[_]["username"], auth[_]["password"]))
else:
logging.error("请检查auth.json文件中的用户名和密码!")
sys.exit(1)
config["users"] = auth_list
os.rename("auth.json", "auth(deprecated).json")
with open("config.json", "w", encoding='utf-8') as f:
json.dump(config, f, indent=4, ensure_ascii=False)
## 处理docker if we are running in Docker
dockerflag = config.get("dockerflag", False)
if os.environ.get("dockerrun") == "yes":
dockerflag = True
## 处理 api-key 以及 允许的用户列表
my_api_key = config.get("openai_api_key", "")
my_api_key = os.environ.get("OPENAI_API_KEY", my_api_key)
xmchat_api_key = config.get("xmchat_api_key", "")
os.environ["XMCHAT_API_KEY"] = xmchat_api_key
minimax_api_key = config.get("minimax_api_key", "")
os.environ["MINIMAX_API_KEY"] = minimax_api_key
minimax_group_id = config.get("minimax_group_id", "")
os.environ["MINIMAX_GROUP_ID"] = minimax_group_id
usage_limit = os.environ.get("USAGE_LIMIT", config.get("usage_limit", 120))
## 多账户机制
multi_api_key = config.get("multi_api_key", False) # 是否开启多账户机制
if multi_api_key:
api_key_list = config.get("api_key_list", [])
if len(api_key_list) == 0:
logging.error("多账号模式已开启,但api_key_list为空,请检查config.json")
sys.exit(1)
shared.state.set_api_key_queue(api_key_list)
auth_list = config.get("users", []) # 实际上是使用者的列表
authflag = len(auth_list) > 0 # 是否开启认证的状态值,改为判断auth_list长度
# 处理自定义的api_host,优先读环境变量的配置,如果存在则自动装配
api_host = os.environ.get("OPENAI_API_BASE", config.get("openai_api_base", None))
if api_host is not None:
shared.state.set_api_host(api_host)
default_chuanhu_assistant_model = config.get("default_chuanhu_assistant_model", "gpt-3.5-turbo")
for x in ["GOOGLE_CSE_ID", "GOOGLE_API_KEY", "WOLFRAM_ALPHA_APPID", "SERPAPI_API_KEY"]:
if config.get(x, None) is not None:
os.environ[x] = config[x]
@contextmanager
def retrieve_openai_api(api_key = None):
old_api_key = os.environ.get("OPENAI_API_KEY", "")
if api_key is None:
os.environ["OPENAI_API_KEY"] = my_api_key
yield my_api_key
else:
os.environ["OPENAI_API_KEY"] = api_key
yield api_key
os.environ["OPENAI_API_KEY"] = old_api_key
## 处理log
log_level = config.get("log_level", "INFO")
logging.basicConfig(
level=log_level,
format="%(asctime)s [%(levelname)s] [%(filename)s:%(lineno)d] %(message)s",
)
## 处理代理:
http_proxy = config.get("http_proxy", "")
https_proxy = config.get("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"] = ""
local_embedding = config.get("local_embedding", False) # 是否使用本地embedding
@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
"""
global http_proxy, https_proxy
if proxy is not None:
http_proxy = proxy
https_proxy = proxy
yield http_proxy, https_proxy
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
## 处理advance docs
advance_docs = defaultdict(lambda: defaultdict(dict))
advance_docs.update(config.get("advance_docs", {}))
def update_doc_config(two_column_pdf):
global advance_docs
advance_docs["pdf"]["two_column"] = two_column_pdf
logging.info(f"更新后的文件参数为:{advance_docs}")
## 处理gradio.launch参数
server_name = config.get("server_name", None)
server_port = config.get("server_port", None)
if server_name is None:
if dockerflag:
server_name = "0.0.0.0"
else:
server_name = "127.0.0.1"
if server_port is None:
if dockerflag:
server_port = 7860
assert server_port is None or type(server_port) == int, "要求port设置为int类型"
# 设置默认model
default_model = config.get("default_model", "")
try:
presets.DEFAULT_MODEL = presets.MODELS.index(default_model)
except ValueError:
pass
share = config.get("share", False)