187 lines
7.3 KiB
Python
187 lines
7.3 KiB
Python
import markdown, mdtex2html, threading
|
||
from show_math import convert as convert_math
|
||
from functools import wraps
|
||
|
||
def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[]):
|
||
"""
|
||
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
|
||
"""
|
||
import time
|
||
try: from config_private import TIMEOUT_SECONDS, MAX_RETRY
|
||
except: from config import TIMEOUT_SECONDS, MAX_RETRY
|
||
from predict import predict_no_ui
|
||
# 多线程的时候，需要一个mutable结构在不同线程之间传递信息
|
||
# 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
|
||
mutable = [None, '']
|
||
# multi-threading worker
|
||
def mt(i_say, history):
|
||
while True:
|
||
try:
|
||
mutable[0] = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history)
|
||
break
|
||
except ConnectionAbortedError as e:
|
||
if len(history) > 0:
|
||
history = [his[len(his)//2:] for his in history if his is not None]
|
||
mutable[1] = 'Warning! History conversation is too long, cut into half. '
|
||
else:
|
||
i_say = i_say[:len(i_say)//2]
|
||
mutable[1] = 'Warning! Input file is too long, cut into half. '
|
||
except TimeoutError as e:
|
||
mutable[0] = '[Local Message] Failed with timeout'
|
||
# 创建新线程发出http请求
|
||
thread_name = threading.Thread(target=mt, args=(i_say, history)); thread_name.start()
|
||
# 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
|
||
cnt = 0
|
||
while thread_name.is_alive():
|
||
cnt += 1
|
||
chatbot[-1] = (i_say_show_user, f"[Local Message] {mutable[1]}waiting gpt response {cnt}/{TIMEOUT_SECONDS*2*(MAX_RETRY+1)}"+''.join(['.']*(cnt%4)))
|
||
yield chatbot, history, '正常'
|
||
time.sleep(1)
|
||
# 把gpt的输出从mutable中取出来
|
||
gpt_say = mutable[0]
|
||
return gpt_say
|
||
|
||
def write_results_to_file(history, file_name=None):
|
||
"""
|
||
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。
|
||
"""
|
||
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'
|
||
file_name = 'chatGPT分析报告' + time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) + '.md'
|
||
os.makedirs('./gpt_log/', exist_ok=True)
|
||
with open(f'./gpt_log/{file_name}', 'w', encoding = 'utf8') 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' + os.path.abspath(f'./gpt_log/{file_name}')
|
||
print(res)
|
||
return res
|
||
|
||
def regular_txt_to_markdown(text):
|
||
"""
|
||
将普通文本转换为Markdown格式的文本。
|
||
"""
|
||
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):
|
||
"""
|
||
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。
|
||
"""
|
||
@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):
|
||
"""
|
||
向chatbot中添加错误信息
|
||
"""
|
||
chatbot.append((a, b))
|
||
history.append(a); history.append(b)
|
||
|
||
def text_divide_paragraph(text):
|
||
"""
|
||
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。
|
||
"""
|
||
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(" ", " ")+"</p>"
|
||
text = "".join(lines)
|
||
return text
|
||
|
||
def markdown_convertion(txt):
|
||
"""
|
||
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。
|
||
"""
|
||
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):
|
||
"""
|
||
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。
|
||
"""
|
||
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():
|
||
"""
|
||
返回当前系统中可用的未使用端口。
|
||
"""
|
||
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]
|
||
|
||
|
||
def extract_archive(file_path, dest_dir):
|
||
import zipfile
|
||
import tarfile
|
||
import os
|
||
# Get the file extension of the input file
|
||
file_extension = os.path.splitext(file_path)[1]
|
||
|
||
# Extract the archive based on its extension
|
||
if file_extension == '.zip':
|
||
with zipfile.ZipFile(file_path, 'r') as zipobj:
|
||
zipobj.extractall(path=dest_dir)
|
||
print("Successfully extracted zip archive to {}".format(dest_dir))
|
||
|
||
elif file_extension in ['.tar', '.gz', '.bz2']:
|
||
with tarfile.open(file_path, 'r:*') as tarobj:
|
||
tarobj.extractall(path=dest_dir)
|
||
print("Successfully extracted tar archive to {}".format(dest_dir))
|
||
else:
|
||
return
|
||
|
||
def find_recent_files(directory):
|
||
"""
|
||
me: find files that is created with in one minutes under a directory with python, write a function
|
||
gpt: here it is!
|
||
"""
|
||
import os
|
||
import time
|
||
current_time = time.time()
|
||
one_minute_ago = current_time - 60
|
||
recent_files = []
|
||
|
||
for filename in os.listdir(directory):
|
||
file_path = os.path.join(directory, filename)
|
||
if file_path.endswith('.log'): continue
|
||
created_time = os.path.getctime(file_path)
|
||
if created_time >= one_minute_ago:
|
||
recent_files.append(file_path)
|
||
|
||
return recent_files |