gpt-academic / toolbox.py
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生成文本报告
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import markdown, mdtex2html
from show_math import convert as convert_math
from functools import wraps
def write_results_to_file(history, file_name=None):
import os, time
if file_name is None:
file_name = time.strftime("chatGPT分析报告%Y-%m-%d-%H-%M-%S", time.localtime()) + '.md'
os.makedirs('./gpt_log/', exist_ok=True)
with open(f'./gpt_log/{file_name}', 'w') as f:
f.write('# chatGPT 分析报告\n')
for i, content in enumerate(history):
if i%2==0: f.write('## ')
f.write(content)
f.write('\n\n')
res ='以上材料已经被写入', f'./gpt_log/{file_name}'
print(res)
return res
def regular_txt_to_markdown(text):
text = text.replace('\n', '\n\n')
text = text.replace('\n\n\n', '\n\n')
text = text.replace('\n\n\n', '\n\n')
return text
def CatchException(f):
@wraps(f)
def decorated(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
try:
yield from f(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT)
except Exception as e:
import traceback
from check_proxy import check_proxy
try: from config_private import proxies
except: from config import proxies
tb_str = regular_txt_to_markdown(traceback.format_exc())
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)}")
yield chatbot, history, f'异常 {e}'
return decorated
def report_execption(chatbot, history, a, b):
chatbot.append((a, b))
history.append(a); history.append(b)
def text_divide_paragraph(text):
if '```' in text:
# careful input
return text
else:
# wtf input
lines = text.split("\n")
for i, line in enumerate(lines):
if i!=0: lines[i] = "<p>"+lines[i].replace(" ", "&nbsp;")+"</p>"
text = "".join(lines)
return text
def markdown_convertion(txt):
if ('$' in txt) and ('```' not in txt):
return markdown.markdown(txt,extensions=['fenced_code','tables']) + '<br><br>' + \
markdown.markdown(convert_math(txt, splitParagraphs=False),extensions=['fenced_code','tables'])
else:
return markdown.markdown(txt,extensions=['fenced_code','tables'])
def format_io(self, y):
if y is None: return []
i_ask, gpt_reply = y[-1]
i_ask = text_divide_paragraph(i_ask) # 输入部分太自由,预处理一波
y[-1] = (
None if i_ask is None else markdown.markdown(i_ask, extensions=['fenced_code','tables']),
None if gpt_reply is None else markdown_convertion(gpt_reply)
)
return y
def find_free_port():
import socket
from contextlib import closing
with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as s:
s.bind(('', 0))
s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
return s.getsockname()[1]