gpt-academic-private / crazy_functions /crazy_functions_test.py
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"""
这是什么?
这个文件用于函数插件的单元测试
运行方法 python crazy_functions/crazy_functions_test.py
"""
# ==============================================================================================================================
def validate_path():
import os, sys
dir_name = os.path.dirname(__file__)
root_dir_assume = os.path.abspath(os.path.dirname(__file__) + '/..')
os.chdir(root_dir_assume)
sys.path.append(root_dir_assume)
validate_path() # validate path so you can run from base directory
# ==============================================================================================================================
from colorful import *
from toolbox import get_conf, ChatBotWithCookies
import contextlib
import os
import sys
from functools import wraps
proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION, CHATBOT_HEIGHT, LAYOUT, API_KEY = \
get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION', 'CHATBOT_HEIGHT', 'LAYOUT', 'API_KEY')
llm_kwargs = {
'api_key': API_KEY,
'llm_model': LLM_MODEL,
'top_p':1.0,
'max_length': None,
'temperature':1.0,
}
plugin_kwargs = { }
chatbot = ChatBotWithCookies(llm_kwargs)
history = []
system_prompt = "Serve me as a writing and programming assistant."
web_port = 1024
# ==============================================================================================================================
def silence_stdout(func):
@wraps(func)
def wrapper(*args, **kwargs):
_original_stdout = sys.stdout
sys.stdout = open(os.devnull, 'w')
for q in func(*args, **kwargs):
sys.stdout = _original_stdout
yield q
sys.stdout = open(os.devnull, 'w')
sys.stdout.close()
sys.stdout = _original_stdout
return wrapper
class CLI_Printer():
def __init__(self) -> None:
self.pre_buf = ""
def print(self, buf):
bufp = ""
for index, chat in enumerate(buf):
a, b = chat
bufp += sprint亮靛('[Me]:' + a) + '\n'
bufp += '[GPT]:' + b
if index < len(buf)-1:
bufp += '\n'
if self.pre_buf!="" and bufp.startswith(self.pre_buf):
print(bufp[len(self.pre_buf):], end='')
else:
print('\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n'+bufp, end='')
self.pre_buf = bufp
return
cli_printer = CLI_Printer()
# ==============================================================================================================================
def test_解析一个Python项目():
from crazy_functions.解析项目源代码 import 解析一个Python项目
txt = "crazy_functions/test_project/python/dqn"
for cookies, cb, hist, msg in 解析一个Python项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
print(cb)
def test_解析一个Cpp项目():
from crazy_functions.解析项目源代码 import 解析一个C项目
txt = "crazy_functions/test_project/cpp/cppipc"
for cookies, cb, hist, msg in 解析一个C项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
print(cb)
def test_Latex英文润色():
from crazy_functions.Latex全文润色 import Latex英文润色
txt = "crazy_functions/test_project/latex/attention"
for cookies, cb, hist, msg in Latex英文润色(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
print(cb)
def test_Markdown中译英():
from crazy_functions.批量Markdown翻译 import Markdown中译英
txt = "README.md"
for cookies, cb, hist, msg in Markdown中译英(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
print(cb)
def test_批量翻译PDF文档():
from crazy_functions.批量翻译PDF文档_多线程 import 批量翻译PDF文档
txt = "crazy_functions/test_project/pdf_and_word"
for cookies, cb, hist, msg in 批量翻译PDF文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
print(cb)
def test_谷歌检索小助手():
from crazy_functions.谷歌检索小助手 import 谷歌检索小助手
txt = "https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=auto+reinforcement+learning&btnG="
for cookies, cb, hist, msg in 谷歌检索小助手(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
print(cb)
def test_总结word文档():
from crazy_functions.总结word文档 import 总结word文档
txt = "crazy_functions/test_project/pdf_and_word"
for cookies, cb, hist, msg in 总结word文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
print(cb)
def test_下载arxiv论文并翻译摘要():
from crazy_functions.下载arxiv论文翻译摘要 import 下载arxiv论文并翻译摘要
txt = "1812.10695"
for cookies, cb, hist, msg in 下载arxiv论文并翻译摘要(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
print(cb)
def test_联网回答问题():
from crazy_functions.联网的ChatGPT import 连接网络回答问题
# txt = "谁是应急食品?"
# >> '根据以上搜索结果可以得知,应急食品是“原神”游戏中的角色派蒙的外号。'
# txt = "道路千万条,安全第一条。后面两句是?"
# >> '行车不规范,亲人两行泪。'
# txt = "You should have gone for the head. What does that mean?"
# >> The phrase "You should have gone for the head" is a quote from the Marvel movies, Avengers: Infinity War and Avengers: Endgame. It was spoken by the character Thanos in Infinity War and by Thor in Endgame.
txt = "AutoGPT是什么?"
for cookies, cb, hist, msg in 连接网络回答问题(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
print("当前问答:", cb[-1][-1].replace("\n"," "))
for i, it in enumerate(cb): print亮蓝(it[0]); print亮黄(it[1])
def test_解析ipynb文件():
from crazy_functions.解析JupyterNotebook import 解析ipynb文件
txt = "crazy_functions/test_samples"
for cookies, cb, hist, msg in 解析ipynb文件(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
print(cb)
def test_数学动画生成manim():
from crazy_functions.数学动画生成manim import 动画生成
txt = "A ball split into 2, and then split into 4, and finally split into 8."
for cookies, cb, hist, msg in 动画生成(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
print(cb)
def test_Markdown多语言():
from crazy_functions.批量Markdown翻译 import Markdown翻译指定语言
txt = "README.md"
history = []
for lang in ["English", "French", "Japanese", "Korean", "Russian", "Italian", "German", "Portuguese", "Arabic"]:
plugin_kwargs = {"advanced_arg": lang}
for cookies, cb, hist, msg in Markdown翻译指定语言(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
print(cb)
def test_Langchain知识库():
from crazy_functions.Langchain知识库 import 知识库问答
txt = "./"
chatbot = ChatBotWithCookies(llm_kwargs)
for cookies, cb, hist, msg in silence_stdout(知识库问答)(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
cli_printer.print(cb) # print(cb)
chatbot = ChatBotWithCookies(cookies)
from crazy_functions.Langchain知识库 import 读取知识库作答
txt = "What is the installation method?"
for cookies, cb, hist, msg in silence_stdout(读取知识库作答)(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
cli_printer.print(cb) # print(cb)
def test_Langchain知识库读取():
from crazy_functions.Langchain知识库 import 读取知识库作答
txt = "远程云服务器部署?"
for cookies, cb, hist, msg in silence_stdout(读取知识库作答)(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
cli_printer.print(cb) # print(cb)
def test_Latex():
from crazy_functions.Latex输出PDF结果 import Latex英文纠错加PDF对比, Latex翻译中文并重新编译PDF
# txt = r"https://arxiv.org/abs/1706.03762"
# txt = r"https://arxiv.org/abs/1902.03185"
# txt = r"https://arxiv.org/abs/2305.18290"
# txt = r"https://arxiv.org/abs/2305.17608"
# txt = r"https://arxiv.org/abs/2211.16068" # ACE
# txt = r"C:\Users\x\arxiv_cache\2211.16068\workfolder" # ACE
# txt = r"https://arxiv.org/abs/2002.09253"
# txt = r"https://arxiv.org/abs/2306.07831"
# txt = r"https://arxiv.org/abs/2212.10156"
# txt = r"https://arxiv.org/abs/2211.11559"
# txt = r"https://arxiv.org/abs/2303.08774"
txt = r"https://arxiv.org/abs/2303.12712"
# txt = r"C:\Users\fuqingxu\arxiv_cache\2303.12712\workfolder"
for cookies, cb, hist, msg in (Latex翻译中文并重新编译PDF)(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
cli_printer.print(cb) # print(cb)
# txt = "2302.02948.tar"
# print(txt)
# main_tex, work_folder = Latex预处理(txt)
# print('main tex:', main_tex)
# res = 编译Latex(main_tex, work_folder)
# # for cookies, cb, hist, msg in silence_stdout(编译Latex)(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
# cli_printer.print(cb) # print(cb)
# test_解析一个Python项目()
# test_Latex英文润色()
# test_Markdown中译英()
# test_批量翻译PDF文档()
# test_谷歌检索小助手()
# test_总结word文档()
# test_下载arxiv论文并翻译摘要()
# test_解析一个Cpp项目()
# test_联网回答问题()
# test_解析ipynb文件()
# test_数学动画生成manim()
# test_Langchain知识库()
# test_Langchain知识库读取()
if __name__ == "__main__":
test_Latex()
input("程序完成,回车退出。")
print("退出。")