140 lines
5.4 KiB
Python
140 lines
5.4 KiB
Python
import markdown, mdtex2html, threading
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from show_math import convert as convert_math
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from functools import wraps
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def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[]):
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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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"""
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import time
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try: from config_private import TIMEOUT_SECONDS
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except: from config import TIMEOUT_SECONDS
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from predict import predict_no_ui
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mutable = [None, '']
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def mt(i_say, history):
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while True:
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try:
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mutable[0] = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history)
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break
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except ConnectionAbortedError as e:
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if len(history) > 0:
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history = [his[len(his)//2:] for his in history if his is not None]
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mutable[1] = 'Warning! History conversation is too long, cut into half. '
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else:
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i_say = i_say[:len(i_say)//2]
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mutable[1] = 'Warning! Input file is too long, cut into half. '
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except TimeoutError as e:
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mutable[0] = '[Local Message] Failed with timeout'
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thread_name = threading.Thread(target=mt, args=(i_say, history)); thread_name.start()
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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}"+''.join(['.']*(cnt%4)))
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yield chatbot, history, '正常'
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time.sleep(1)
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gpt_say = mutable[0]
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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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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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os.makedirs('./gpt_log/', exist_ok=True)
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with open(f'./gpt_log/{file_name}', 'w') 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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if i%2==0: 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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"""
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text = text.replace('\n', '\n\n')
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text = text.replace('\n\n\n', '\n\n')
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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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"""
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@wraps(f)
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def decorated(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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try:
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yield from f(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT)
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except Exception as e:
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import traceback
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from check_proxy import check_proxy
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try: from config_private import proxies
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except: from config import proxies
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tb_str = regular_txt_to_markdown(traceback.format_exc())
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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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yield chatbot, history, f'异常 {e}'
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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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def text_divide_paragraph(text):
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"""
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将文本按照段落分隔符分割开，生成带有段落标签的HTML代码。
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"""
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if '```' in text:
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# careful input
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return text
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else:
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# wtf input
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lines = text.split("\n")
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for i, line in enumerate(lines):
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if i!=0: lines[i] = "<p>"+lines[i].replace(" ", " ")+"</p>"
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text = "".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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"""
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if ('$' in txt) and ('```' not in txt):
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return markdown.markdown(txt,extensions=['fenced_code','tables']) + '<br><br>' + \
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markdown.markdown(convert_math(txt, splitParagraphs=False),extensions=['fenced_code','tables'])
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else:
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return markdown.markdown(txt,extensions=['fenced_code','tables'])
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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: 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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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 gpt_reply is None else markdown_convertion(gpt_reply)
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)
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return y
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def find_free_port():
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"""
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返回当前系统中可用的未使用端口。
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"""
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import socket
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from contextlib import closing
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with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as s:
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s.bind(('', 0))
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s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
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return s.getsockname()[1] |