主要代码规整化
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@ -3,7 +3,8 @@ def check_proxy(proxies):
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import requests
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proxies_https = proxies['https'] if proxies is not None else '无'
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try:
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response = requests.get("https://ipapi.co/json/", proxies=proxies, timeout=4)
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response = requests.get("https://ipapi.co/json/",
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proxies=proxies, timeout=4)
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data = response.json()
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print(f'查询代理的地理位置,返回的结果是{data}')
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if 'country_name' in data:
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@ -21,7 +22,9 @@ def check_proxy(proxies):
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def auto_update():
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from toolbox import get_conf
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import requests, time, json
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import requests
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import time
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import json
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proxies, = get_conf('proxies')
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response = requests.get("https://raw.githubusercontent.com/binary-husky/chatgpt_academic/master/version",
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proxies=proxies, timeout=1)
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@ -35,7 +38,8 @@ def auto_update():
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current_version = f.read()
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current_version = json.loads(current_version)['version']
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if (remote_version - current_version) >= 0.05:
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print(f'\n新版本可用。新版本:{remote_version},当前版本:{current_version}。{new_feature}')
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print(
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f'\n新版本可用。新版本:{remote_version},当前版本:{current_version}。{new_feature}')
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print('Github更新地址:\nhttps://github.com/binary-husky/chatgpt_academic\n')
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time.sleep(3)
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return
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@ -44,8 +48,8 @@ def auto_update():
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if __name__ == '__main__':
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import os; os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染
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import os
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os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染
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from toolbox import get_conf
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proxies, = get_conf('proxies')
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check_proxy(proxies)
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@ -46,4 +46,5 @@ API_URL = "https://api.openai.com/v1/chat/completions"
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CONCURRENT_COUNT = 100
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# 设置用户名和密码(相关功能不稳定,与gradio版本和网络都相关,如果本地使用不建议加这个)
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AUTHENTICATION = [] # [("username", "password"), ("username2", "password2"), ...]
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# [("username", "password"), ("username2", "password2"), ...]
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AUTHENTICATION = []
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@ -4,6 +4,7 @@
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# 默认按钮颜色是 secondary
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from toolbox import clear_line_break
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def get_core_functions():
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return {
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"英语学术润色": {
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@ -1,5 +1,6 @@
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from toolbox import HotReload # HotReload 的意思是热更新,修改函数插件后,不需要重启程序,代码直接生效
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def get_crazy_functions():
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###################### 第一组插件 ###########################
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# [第一组插件]: 最早期编写的项目插件和一些demo
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@ -81,7 +82,8 @@ def get_crazy_functions():
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"[仅供开发调试] 批量总结PDF文档": {
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"Color": "stop",
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"AsButton": False, # 加入下拉菜单中
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"Function": HotReload(批量总结PDF文档) # HotReload 的意思是热更新,修改函数插件代码后,不需要重启程序,代码直接生效
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# HotReload 的意思是热更新,修改函数插件代码后,不需要重启程序,代码直接生效
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"Function": HotReload(批量总结PDF文档)
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},
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"[仅供开发调试] 批量总结PDF文档pdfminer": {
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"Color": "stop",
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@ -109,9 +111,5 @@ def get_crazy_functions():
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except Exception as err:
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print(f'[下载arxiv论文并翻译摘要] 插件导入失败 {str(err)}')
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###################### 第n组插件 ###########################
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return function_plugins
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8
theme.py
8
theme.py
@ -24,13 +24,15 @@ import gradio as gr
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# gr.themes.utils.colors.pink (粉红色)
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# gr.themes.utils.colors.rose (玫瑰色)
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def adjust_theme():
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try:
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color_er = gr.themes.utils.colors.fuchsia
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set_theme = gr.themes.Default(
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primary_hue=gr.themes.utils.colors.orange,
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neutral_hue=gr.themes.utils.colors.gray,
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font=["sans-serif", "Microsoft YaHei", "ui-sans-serif", "system-ui", "sans-serif", gr.themes.utils.fonts.GoogleFont("Source Sans Pro")],
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font=["sans-serif", "Microsoft YaHei", "ui-sans-serif", "system-ui",
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"sans-serif", gr.themes.utils.fonts.GoogleFont("Source Sans Pro")],
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font_mono=["ui-monospace", "Consolas", "monospace", gr.themes.utils.fonts.GoogleFont("IBM Plex Mono")])
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set_theme.set(
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# Colors
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@ -78,9 +80,11 @@ def adjust_theme():
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button_cancel_text_color_dark="white",
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)
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except:
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set_theme = None; print('gradio版本较旧, 不能自定义字体和颜色')
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set_theme = None
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print('gradio版本较旧, 不能自定义字体和颜色')
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return set_theme
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advanced_css = """
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/* 设置表格的外边距为1em,内部单元格之间边框合并,空单元格显示. */
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.markdown-body table {
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135
toolbox.py
135
toolbox.py
@ -1,14 +1,23 @@
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import markdown, mdtex2html, threading, importlib, traceback, importlib, inspect, re
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import markdown
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import mdtex2html
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import threading
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import importlib
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import traceback
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import importlib
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import inspect
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import re
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from show_math import convert as convert_math
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from functools import wraps, lru_cache
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def ArgsGeneralWrapper(f):
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"""
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装饰器函数,用于重组输入参数,改变输入参数的顺序与结构。
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"""
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def decorated(txt, txt2, *args, **kwargs):
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txt_passon = txt
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if txt == "" and txt2 != "": txt_passon = txt2
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if txt == "" and txt2 != "":
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txt_passon = txt2
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yield from f(txt_passon, *args, **kwargs)
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return decorated
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@ -27,6 +36,7 @@ def get_reduce_token_percent(text):
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except:
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return 0.5, '不详'
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def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[], sys_prompt='', long_connection=True):
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"""
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调用简单的predict_no_ui接口,但是依然保留了些许界面心跳功能,当对话太长时,会自动采用二分法截断
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@ -46,21 +56,26 @@ def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temp
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# list就是最简单的mutable结构,我们第一个位置放gpt输出,第二个位置传递报错信息
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mutable = [None, '']
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# multi-threading worker
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def mt(i_say, history):
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while True:
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try:
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if long_connection:
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mutable[0] = predict_no_ui_long_connection(inputs=i_say, top_p=top_p, temperature=temperature, history=history, sys_prompt=sys_prompt)
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mutable[0] = predict_no_ui_long_connection(
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inputs=i_say, top_p=top_p, temperature=temperature, history=history, sys_prompt=sys_prompt)
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else:
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mutable[0] = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history, sys_prompt=sys_prompt)
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mutable[0] = predict_no_ui(
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inputs=i_say, top_p=top_p, temperature=temperature, history=history, sys_prompt=sys_prompt)
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break
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except ConnectionAbortedError as token_exceeded_error:
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# 尝试计算比例,尽可能多地保留文本
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p_ratio, n_exceed = get_reduce_token_percent(str(token_exceeded_error))
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p_ratio, n_exceed = get_reduce_token_percent(
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str(token_exceeded_error))
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if len(history) > 0:
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history = [his[ int(len(his) *p_ratio): ] for his in history if his is not None]
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history = [his[int(len(his) * p_ratio):]
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for his in history if his is not None]
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else:
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i_say = i_say[: int(len(i_say) *p_ratio) ]
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i_say = i_say[: int(len(i_say) * p_ratio)]
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mutable[1] = f'警告,文本过长将进行截断,Token溢出数:{n_exceed},截断比例:{(1-p_ratio):.0%}。'
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except TimeoutError as e:
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mutable[0] = '[Local Message] 请求超时。'
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@ -69,42 +84,51 @@ def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temp
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mutable[0] = f'[Local Message] 异常:{str(e)}.'
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raise RuntimeError(f'[Local Message] 异常:{str(e)}.')
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# 创建新线程发出http请求
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thread_name = threading.Thread(target=mt, args=(i_say, history)); thread_name.start()
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thread_name = threading.Thread(target=mt, args=(i_say, history))
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thread_name.start()
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# 原来的线程则负责持续更新UI,实现一个超时倒计时,并等待新线程的任务完成
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cnt = 0
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while thread_name.is_alive():
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cnt += 1
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chatbot[-1] = (i_say_show_user, f"[Local Message] {mutable[1]}waiting gpt response {cnt}/{TIMEOUT_SECONDS*2*(MAX_RETRY+1)}"+''.join(['.']*(cnt%4)))
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chatbot[-1] = (i_say_show_user,
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f"[Local Message] {mutable[1]}waiting gpt response {cnt}/{TIMEOUT_SECONDS*2*(MAX_RETRY+1)}"+''.join(['.']*(cnt % 4)))
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yield chatbot, history, '正常'
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time.sleep(1)
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# 把gpt的输出从mutable中取出来
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gpt_say = mutable[0]
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if gpt_say=='[Local Message] Failed with timeout.': raise TimeoutError
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if gpt_say == '[Local Message] Failed with timeout.':
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raise TimeoutError
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return gpt_say
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def write_results_to_file(history, file_name=None):
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"""
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将对话记录history以Markdown格式写入文件中。如果没有指定文件名,则使用当前时间生成文件名。
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"""
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import os, time
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import os
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import time
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if file_name is None:
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# file_name = time.strftime("chatGPT分析报告%Y-%m-%d-%H-%M-%S", time.localtime()) + '.md'
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file_name = 'chatGPT分析报告' + time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) + '.md'
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file_name = 'chatGPT分析报告' + \
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time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) + '.md'
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os.makedirs('./gpt_log/', exist_ok=True)
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with open(f'./gpt_log/{file_name}', 'w', encoding = 'utf8') as f:
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with open(f'./gpt_log/{file_name}', 'w', encoding='utf8') as f:
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f.write('# chatGPT 分析报告\n')
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for i, content in enumerate(history):
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try: # 这个bug没找到触发条件,暂时先这样顶一下
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if type(content) != str: content = str(content)
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if type(content) != str:
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content = str(content)
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except:
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continue
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if i%2==0: f.write('## ')
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if i % 2 == 0:
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f.write('## ')
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f.write(content)
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f.write('\n\n')
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res = '以上材料已经被写入' + os.path.abspath(f'./gpt_log/{file_name}')
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print(res)
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return res
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def regular_txt_to_markdown(text):
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"""
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将普通文本转换为Markdown格式的文本。
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@ -114,6 +138,7 @@ def regular_txt_to_markdown(text):
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text = text.replace('\n\n\n', '\n\n')
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return text
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def CatchException(f):
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"""
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装饰器函数,捕捉函数f中的异常并封装到一个生成器中返回,并显示到聊天当中。
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@ -127,11 +152,14 @@ def CatchException(f):
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from toolbox import get_conf
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proxies, = get_conf('proxies')
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tb_str = '```\n' + traceback.format_exc() + '```'
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if chatbot is None or len(chatbot) == 0: chatbot = [["插件调度异常","异常原因"]]
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chatbot[-1] = (chatbot[-1][0], f"[Local Message] 实验性函数调用出错: \n\n{tb_str} \n\n当前代理可用性: \n\n{check_proxy(proxies)}")
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if chatbot is None or len(chatbot) == 0:
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chatbot = [["插件调度异常", "异常原因"]]
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chatbot[-1] = (chatbot[-1][0],
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f"[Local Message] 实验性函数调用出错: \n\n{tb_str} \n\n当前代理可用性: \n\n{check_proxy(proxies)}")
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yield chatbot, history, f'异常 {e}'
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return decorated
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def HotReload(f):
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"""
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装饰器函数,实现函数插件热更新
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@ -143,12 +171,15 @@ def HotReload(f):
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yield from f_hot_reload(*args, **kwargs)
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return decorated
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def report_execption(chatbot, history, a, b):
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"""
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向chatbot中添加错误信息
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"""
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chatbot.append((a, b))
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history.append(a); history.append(b)
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history.append(a)
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history.append(b)
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def text_divide_paragraph(text):
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"""
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@ -165,6 +196,7 @@ def text_divide_paragraph(text):
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text = "</br>".join(lines)
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return text
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def markdown_convertion(txt):
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"""
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将Markdown格式的文本转换为HTML格式。如果包含数学公式,则先将公式转换为HTML格式。
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@ -172,16 +204,19 @@ def markdown_convertion(txt):
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pre = '<div class="markdown-body">'
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suf = '</div>'
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if ('$' in txt) and ('```' not in txt):
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return pre + markdown.markdown(txt,extensions=['fenced_code','tables']) + '<br><br>' + markdown.markdown(convert_math(txt, splitParagraphs=False),extensions=['fenced_code','tables']) + suf
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return pre + markdown.markdown(txt, extensions=['fenced_code', 'tables']) + '<br><br>' + markdown.markdown(convert_math(txt, splitParagraphs=False), extensions=['fenced_code', 'tables']) + suf
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else:
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return pre + markdown.markdown(txt,extensions=['fenced_code','tables']) + suf
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return pre + markdown.markdown(txt, extensions=['fenced_code', 'tables']) + suf
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def close_up_code_segment_during_stream(gpt_reply):
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"""
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在gpt输出代码的中途(输出了前面的```,但还没输出完后面的```),补上后面的```
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"""
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if '```' not in gpt_reply: return gpt_reply
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if gpt_reply.endswith('```'): return gpt_reply
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if '```' not in gpt_reply:
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return gpt_reply
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if gpt_reply.endswith('```'):
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return gpt_reply
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# 排除了以上两个情况,我们
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segments = gpt_reply.split('```')
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@ -193,17 +228,19 @@ def close_up_code_segment_during_stream(gpt_reply):
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return gpt_reply
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def format_io(self, y):
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"""
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将输入和输出解析为HTML格式。将y中最后一项的输入部分段落化,并将输出部分的Markdown和数学公式转换为HTML格式。
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"""
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if y is None or y == []: return []
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if y is None or y == []:
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return []
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i_ask, gpt_reply = y[-1]
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i_ask = text_divide_paragraph(i_ask) # 输入部分太自由,预处理一波
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gpt_reply = close_up_code_segment_during_stream(gpt_reply) # 当代码输出半截的时候,试着补上后个```
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gpt_reply = close_up_code_segment_during_stream(
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gpt_reply) # 当代码输出半截的时候,试着补上后个```
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y[-1] = (
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None if i_ask is None else markdown.markdown(i_ask, extensions=['fenced_code','tables']),
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None if i_ask is None else markdown.markdown(
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i_ask, extensions=['fenced_code', 'tables']),
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None if gpt_reply is None else markdown_convertion(gpt_reply)
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)
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return y
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@ -265,6 +302,7 @@ def extract_archive(file_path, dest_dir):
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return ''
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return ''
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def find_recent_files(directory):
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"""
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me: find files that is created with in one minutes under a directory with python, write a function
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@ -278,21 +316,29 @@ def find_recent_files(directory):
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for filename in os.listdir(directory):
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file_path = os.path.join(directory, filename)
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if file_path.endswith('.log'): continue
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if file_path.endswith('.log'):
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continue
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created_time = os.path.getmtime(file_path)
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if created_time >= one_minute_ago:
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if os.path.isdir(file_path): continue
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if os.path.isdir(file_path):
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continue
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recent_files.append(file_path)
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return recent_files
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def on_file_uploaded(files, chatbot, txt):
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if len(files) == 0: return chatbot, txt
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import shutil, os, time, glob
|
||||
if len(files) == 0:
|
||||
return chatbot, txt
|
||||
import shutil
|
||||
import os
|
||||
import time
|
||||
import glob
|
||||
from toolbox import extract_archive
|
||||
try: shutil.rmtree('./private_upload/')
|
||||
except: pass
|
||||
try:
|
||||
shutil.rmtree('./private_upload/')
|
||||
except:
|
||||
pass
|
||||
time_tag = time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime())
|
||||
os.makedirs(f'private_upload/{time_tag}', exist_ok=True)
|
||||
err_msg = ''
|
||||
@ -301,12 +347,13 @@ def on_file_uploaded(files, chatbot, txt):
|
||||
shutil.copy(file.name, f'private_upload/{time_tag}/{file_origin_name}')
|
||||
err_msg += extract_archive(f'private_upload/{time_tag}/{file_origin_name}',
|
||||
dest_dir=f'private_upload/{time_tag}/{file_origin_name}.extract')
|
||||
moved_files = [fp for fp in glob.glob('private_upload/**/*', recursive=True)]
|
||||
moved_files = [fp for fp in glob.glob(
|
||||
'private_upload/**/*', recursive=True)]
|
||||
txt = f'private_upload/{time_tag}'
|
||||
moved_files_str = '\t\n\n'.join(moved_files)
|
||||
chatbot.append(['我上传了文件,请查收',
|
||||
f'[Local Message] 收到以下文件: \n\n{moved_files_str}'+
|
||||
f'\n\n调用路径参数已自动修正到: \n\n{txt}'+
|
||||
f'[Local Message] 收到以下文件: \n\n{moved_files_str}' +
|
||||
f'\n\n调用路径参数已自动修正到: \n\n{txt}' +
|
||||
f'\n\n现在您点击任意实验功能时,以上文件将被作为输入参数'+err_msg])
|
||||
return chatbot, txt
|
||||
|
||||
@ -314,17 +361,21 @@ def on_file_uploaded(files, chatbot, txt):
|
||||
def on_report_generated(files, chatbot):
|
||||
from toolbox import find_recent_files
|
||||
report_files = find_recent_files('gpt_log')
|
||||
if len(report_files) == 0: return None, chatbot
|
||||
if len(report_files) == 0:
|
||||
return None, chatbot
|
||||
# files.extend(report_files)
|
||||
chatbot.append(['汇总报告如何远程获取?', '汇总报告已经添加到右侧“文件上传区”(可能处于折叠状态),请查收。'])
|
||||
return report_files, chatbot
|
||||
|
||||
|
||||
@lru_cache(maxsize=128)
|
||||
def read_single_conf_with_lru_cache(arg):
|
||||
try: r = getattr(importlib.import_module('config_private'), arg)
|
||||
except: r = getattr(importlib.import_module('config'), arg)
|
||||
try:
|
||||
r = getattr(importlib.import_module('config_private'), arg)
|
||||
except:
|
||||
r = getattr(importlib.import_module('config'), arg)
|
||||
# 在读取API_KEY时,检查一下是不是忘了改config
|
||||
if arg=='API_KEY':
|
||||
if arg == 'API_KEY':
|
||||
# 正确的 API_KEY 是 "sk-" + 48 位大小写字母数字的组合
|
||||
API_MATCH = re.match(r"sk-[a-zA-Z0-9]{48}$", r)
|
||||
if API_MATCH:
|
||||
@ -332,7 +383,7 @@ def read_single_conf_with_lru_cache(arg):
|
||||
else:
|
||||
assert False, "正确的 API_KEY 是 'sk-' + '48 位大小写字母数字' 的组合,请在config文件中修改API密钥, 添加海外代理之后再运行。" + \
|
||||
"(如果您刚更新过代码,请确保旧版config_private文件中没有遗留任何新增键值)"
|
||||
if arg=='proxies':
|
||||
if arg == 'proxies':
|
||||
if r is None:
|
||||
print('[PROXY] 网络代理状态:未配置。无代理状态下很可能无法访问。建议:检查USE_PROXY选项是否修改。')
|
||||
else:
|
||||
@ -340,6 +391,7 @@ def read_single_conf_with_lru_cache(arg):
|
||||
assert isinstance(r, dict), 'proxies格式错误,请注意proxies选项的格式,不要遗漏括号。'
|
||||
return r
|
||||
|
||||
|
||||
def get_conf(*args):
|
||||
# 建议您复制一个config_private.py放自己的秘密, 如API和代理网址, 避免不小心传github被别人看到
|
||||
res = []
|
||||
@ -348,14 +400,17 @@ def get_conf(*args):
|
||||
res.append(r)
|
||||
return res
|
||||
|
||||
|
||||
def clear_line_break(txt):
|
||||
txt = txt.replace('\n', ' ')
|
||||
txt = txt.replace(' ', ' ')
|
||||
txt = txt.replace(' ', ' ')
|
||||
return txt
|
||||
|
||||
|
||||
class DummyWith():
|
||||
def __enter__(self):
|
||||
return self
|
||||
|
||||
def __exit__(self, exc_type, exc_value, traceback):
|
||||
return
|
Loading…
x
Reference in New Issue
Block a user