import markdown, mdtex2html, threading, importlib, traceback, importlib, inspect, re from show_math import convert as convert_math from functools import wraps, lru_cache def get_reduce_token_percent(text): try: # text = "maximum context length is 4097 tokens. However, your messages resulted in 4870 tokens" pattern = r"(\d+)\s+tokens\b" match = re.findall(pattern, text) EXCEED_ALLO = 500 # 稍微留一点余地,否则在回复时会因余量太少出问题 max_limit = float(match[0]) - EXCEED_ALLO current_tokens = float(match[1]) ratio = max_limit/current_tokens assert ratio > 0 and ratio < 1 return ratio, str(int(current_tokens-max_limit)) except: return 0.5, '不详' def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[], sys_prompt='', long_connection=True): """ 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 i_say: 当前输入 i_say_show_user: 显示到对话界面上的当前输入,例如,输入整个文件时,你绝对不想把文件的内容都糊到对话界面上 chatbot: 对话界面句柄 top_p, temperature: gpt参数 history: gpt参数 对话历史 sys_prompt: gpt参数 sys_prompt long_connection: 是否采用更稳定的连接方式(推荐) """ import time from predict import predict_no_ui, predict_no_ui_long_connection from toolbox import get_conf TIMEOUT_SECONDS, MAX_RETRY = get_conf('TIMEOUT_SECONDS', 'MAX_RETRY') # 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: if long_connection: mutable[0] = predict_no_ui_long_connection(inputs=i_say, top_p=top_p, temperature=temperature, history=history, sys_prompt=sys_prompt) else: mutable[0] = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history, sys_prompt=sys_prompt) break except ConnectionAbortedError as token_exceeded_error: # 尝试计算比例,尽可能多地保留文本 p_ratio, n_exceed = get_reduce_token_percent(str(token_exceeded_error)) if len(history) > 0: history = [his[ int(len(his) *p_ratio): ] for his in history if his is not None] else: i_say = i_say[: int(len(i_say) *p_ratio) ] 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%}。' except TimeoutError as e: mutable[0] = '[Local Message] 请求超时。' raise TimeoutError except Exception as e: mutable[0] = f'[Local Message] 异常:{str(e)}.' raise RuntimeError(f'[Local Message] 异常:{str(e)}.') # 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] if gpt_say=='[Local Message] Failed with timeout.': raise TimeoutError 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): try: # 这个bug没找到触发条件,暂时先这样顶一下 if type(content) != str: content = str(content) except: continue 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: from check_proxy import check_proxy from toolbox import get_conf proxies, = get_conf('proxies') tb_str = '```\n' + traceback.format_exc() + '```' if len(chatbot) == 0: chatbot.append(["插件调度异常","异常原因"]) 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 HotReload(f): """ 装饰器函数,实现函数插件热更新 """ @wraps(f) def decorated(*args, **kwargs): fn_name = f.__name__ f_hot_reload = getattr(importlib.reload(inspect.getmodule(f)), fn_name) yield from f_hot_reload(*args, **kwargs) 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): lines[i] = lines[i].replace(" ", " ") 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。 """ pre = '
' suf = '
' if ('$' in txt) and ('```' not in txt): return pre + markdown.markdown(txt,extensions=['fenced_code','tables']) + '

' + markdown.markdown(convert_math(txt, splitParagraphs=False),extensions=['fenced_code','tables']) + suf else: return pre + markdown.markdown(txt,extensions=['fenced_code','tables']) + suf def close_up_code_segment_during_stream(gpt_reply): """ 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``` """ if '```' not in gpt_reply: return gpt_reply if gpt_reply.endswith('```'): return gpt_reply # 排除了以上两个情况,我们 segments = gpt_reply.split('```') n_mark = len(segments) - 1 if n_mark % 2 == 1: print('输出代码片段中!') return gpt_reply+'\n```' else: return gpt_reply 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 or y == []: 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 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``` 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)) # 第三方库,需要预先pip install rarfile # 此外,Windows上还需要安装winrar软件,配置其Path环境变量,如"C:\Program Files\WinRAR"才可以 elif file_extension == '.rar': try: import rarfile with rarfile.RarFile(file_path) as rf: rf.extractall(path=dest_dir) print("Successfully extracted rar archive to {}".format(dest_dir)) except: print("Rar format requires additional dependencies to install") return '\n\n需要安装pip install rarfile来解压rar文件' # 第三方库,需要预先pip install py7zr elif file_extension == '.7z': try: import py7zr with py7zr.SevenZipFile(file_path, mode='r') as f: f.extractall(path=dest_dir) print("Successfully extracted 7z archive to {}".format(dest_dir)) except: print("7z format requires additional dependencies to install") return '\n\n需要安装pip install py7zr来解压7z文件' else: return '' 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: if os.path.isdir(file_path): continue recent_files.append(file_path) return recent_files def on_file_uploaded(files, chatbot, txt): if len(files) == 0: return chatbot, txt import shutil, os, time, glob from toolbox import extract_archive 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 = '' for file in files: file_origin_name = os.path.basename(file.orig_name) 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)] 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'\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 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 files, 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) # 在读取API_KEY时,检查一下是不是忘了改config 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: print(f"[API_KEY] 您的 API_KEY 是: {r[:15]}*** API_KEY 导入成功") 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 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: print('[PROXY] 网络代理状态:已配置。配置信息如下:', r) 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 = [] for arg in args: r = read_single_conf_with_lru_cache(arg) res.append(r) return res def clear_line_break(txt): txt = txt.replace('\n', ' ') txt = txt.replace(' ', ' ') txt = txt.replace(' ', ' ') return txt