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| import markdown | |
| import importlib | |
| import traceback | |
| import inspect | |
| import re | |
| from latex2mathml.converter import convert as tex2mathml | |
| from functools import wraps, lru_cache | |
| ############################### 插件输入输出接驳区 ####################################### | |
| class ChatBotWithCookies(list): | |
| def __init__(self, cookie): | |
| self._cookies = cookie | |
| def write_list(self, list): | |
| for t in list: | |
| self.append(t) | |
| def get_list(self): | |
| return [t for t in self] | |
| def get_cookies(self): | |
| return self._cookies | |
| def ArgsGeneralWrapper(f): | |
| """ | |
| 装饰器函数，用于重组输入参数，改变输入参数的顺序与结构。 | |
| """ | |
| def decorated(cookies, max_length, llm_model, txt, txt2, top_p, temperature, chatbot, history, system_prompt, *args): | |
| txt_passon = txt | |
| if txt == "" and txt2 != "": txt_passon = txt2 | |
| # 引入一个有cookie的chatbot | |
| cookies.update({ | |
| 'top_p':top_p, | |
| 'temperature':temperature, | |
| }) | |
| llm_kwargs = { | |
| 'api_key': cookies['api_key'], | |
| 'llm_model': llm_model, | |
| 'top_p':top_p, | |
| 'max_length': max_length, | |
| 'temperature':temperature, | |
| } | |
| plugin_kwargs = { | |
| # 目前还没有 | |
| } | |
| chatbot_with_cookie = ChatBotWithCookies(cookies) | |
| chatbot_with_cookie.write_list(chatbot) | |
| yield from f(txt_passon, llm_kwargs, plugin_kwargs, chatbot_with_cookie, history, system_prompt, *args) | |
| return decorated | |
| def update_ui(chatbot, history, msg='正常', **kwargs): # 刷新界面 | |
| """ | |
| 刷新用户界面 | |
| """ | |
| assert isinstance(chatbot, ChatBotWithCookies), "在传递chatbot的过程中不要将其丢弃。必要时，可用clear将其清空，然后用for+append循环重新赋值。" | |
| yield chatbot.get_cookies(), chatbot, history, msg | |
| 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。 | |
| """ | |
| 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 chatbot is None or len(chatbot) == 0: | |
| chatbot = [["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 from update_ui(chatbot=chatbot, history=history, msg=f'异常 {e}') # 刷新界面 | |
| return decorated | |
| def HotReload(f): | |
| """ | |
| HotReload的装饰器函数，用于实现Python函数插件的热更新。 | |
| 函数热更新是指在不停止程序运行的情况下，更新函数代码，从而达到实时更新功能。 | |
| 在装饰器内部，使用wraps(f)来保留函数的元信息，并定义了一个名为decorated的内部函数。 | |
| 内部函数通过使用importlib模块的reload函数和inspect模块的getmodule函数来重新加载并获取函数模块， | |
| 然后通过getattr函数获取函数名，并在新模块中重新加载函数。 | |
| 最后，使用yield from语句返回重新加载过的函数，并在被装饰的函数上执行。 | |
| 最终，装饰器函数返回内部函数。这个内部函数可以将函数的原始定义更新为最新版本，并执行函数的新版本。 | |
| """ | |
| 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 | |
| ####################################### 其他小工具 ##################################### | |
| def get_reduce_token_percent(text): | |
| """ | |
| * 此函数未来将被弃用 | |
| """ | |
| 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 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 | |
| import 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 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 = "</br>".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 = '<div class="markdown-body">' | |
| suf = '</div>' | |
| markdown_extension_configs = { | |
| 'mdx_math': { | |
| 'enable_dollar_delimiter': True, | |
| 'use_gitlab_delimiters': False, | |
| }, | |
| } | |
| find_equation_pattern = r'<script type="math/tex(?:.*?)>(.*?)</script>' | |
| def tex2mathml_catch_exception(content, *args, **kwargs): | |
| try: | |
| content = tex2mathml(content, *args, **kwargs) | |
| except: | |
| content = content | |
| return content | |
| def replace_math_no_render(match): | |
| content = match.group(1) | |
| if 'mode=display' in match.group(0): | |
| content = content.replace('\n', '</br>') | |
| return f"<font color=\"#00FF00\">$$</font><font color=\"#FF00FF\">{content}</font><font color=\"#00FF00\">$$</font>" | |
| else: | |
| return f"<font color=\"#00FF00\">$</font><font color=\"#FF00FF\">{content}</font><font color=\"#00FF00\">$</font>" | |
| def replace_math_render(match): | |
| content = match.group(1) | |
| if 'mode=display' in match.group(0): | |
| if '\\begin{aligned}' in content: | |
| content = content.replace('\\begin{aligned}', '\\begin{array}') | |
| content = content.replace('\\end{aligned}', '\\end{array}') | |
| content = content.replace('&', ' ') | |
| content = tex2mathml_catch_exception(content, display="block") | |
| return content | |
| else: | |
| return tex2mathml_catch_exception(content) | |
| def markdown_bug_hunt(content): | |
| """ | |
| 解决一个mdx_math的bug（单$包裹begin命令时多余<script>） | |
| """ | |
| content = content.replace('<script type="math/tex">\n<script type="math/tex; mode=display">', '<script type="math/tex; mode=display">') | |
| content = content.replace('</script>\n</script>', '</script>') | |
| return content | |
| if ('$' in txt) and ('```' not in txt): # 有$标识的公式符号，且没有代码段```的标识 | |
| # convert everything to html format | |
| split = markdown.markdown(text='---') | |
| convert_stage_1 = markdown.markdown(text=txt, extensions=['mdx_math', 'fenced_code', 'tables', 'sane_lists'], extension_configs=markdown_extension_configs) | |
| convert_stage_1 = markdown_bug_hunt(convert_stage_1) | |
| # re.DOTALL: Make the '.' special character match any character at all, including a newline; without this flag, '.' will match anything except a newline. Corresponds to the inline flag (?s). | |
| # 1. convert to easy-to-copy tex (do not render math) | |
| convert_stage_2_1, n = re.subn(find_equation_pattern, replace_math_no_render, convert_stage_1, flags=re.DOTALL) | |
| # 2. convert to rendered equation | |
| convert_stage_2_2, n = re.subn(find_equation_pattern, replace_math_render, convert_stage_1, flags=re.DOTALL) | |
| # cat them together | |
| return pre + convert_stage_2_1 + f'{split}' + convert_stage_2_2 + suf | |
| else: | |
| return pre + markdown.markdown(txt, extensions=['fenced_code', 'codehilite', 'tables', 'sane_lists']) + 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``` | |
| Args: | |
| gpt_reply (str): GPT模型返回的回复字符串。 | |
| Returns: | |
| str: 返回一个新的字符串，将输出代码片段的“后面的```”补上。 | |
| """ | |
| 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.getmtime(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, txt2, checkboxes): | |
| if len(files) == 0: | |
| return chatbot, txt | |
| import shutil | |
| import os | |
| import time | |
| import 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)] | |
| if "底部输入区" in checkboxes: | |
| txt = "" | |
| txt2 = f'private_upload/{time_tag}' | |
| else: | |
| txt = f'private_upload/{time_tag}' | |
| txt2 = "" | |
| 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“红颜色”标识的函数插件时，以上文件将被作为输入参数'+err_msg]) | |
| return chatbot, txt, txt2 | |
| 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 None, 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 | |
| def is_openai_api_key(key): | |
| API_MATCH = re.match(r"sk-[a-zA-Z0-9]{48}$", key) | |
| return bool(API_MATCH) | |
| def is_api2d_key(key): | |
| if key.startswith('fk') and len(key) == 41: | |
| return True | |
| else: | |
| return False | |
| def is_any_api_key(key): | |
| if ',' in key: | |
| keys = key.split(',') | |
| for k in keys: | |
| if is_any_api_key(k): return True | |
| return False | |
| else: | |
| return is_openai_api_key(key) or is_api2d_key(key) | |
| def select_api_key(keys, llm_model): | |
| import random | |
| avail_key_list = [] | |
| key_list = keys.split(',') | |
| if llm_model.startswith('gpt-'): | |
| for k in key_list: | |
| if is_openai_api_key(k): avail_key_list.append(k) | |
| if llm_model.startswith('api2d-'): | |
| for k in key_list: | |
| if is_api2d_key(k): avail_key_list.append(k) | |
| if len(avail_key_list) == 0: | |
| raise RuntimeError(f"您提供的api-key不满足要求，不包含任何可用于{llm_model}的api-key。") | |
| api_key = random.choice(avail_key_list) # 随机负载均衡 | |
| return api_key | |
| def read_single_conf_with_lru_cache(arg): | |
| from colorful import print亮红, print亮绿 | |
| 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': | |
| if is_any_api_key(r): | |
| print亮绿(f"[API_KEY] 您的 API_KEY 是: {r[:15]}*** API_KEY 导入成功") | |
| else: | |
| print亮红( "[API_KEY] 正确的 API_KEY 是'sk'开头的51位密钥（OpenAI），或者 'fk'开头的41位密钥，请在config文件中修改API密钥之后再运行。") | |
| if arg == 'proxies': | |
| if r is None: | |
| print亮红('[PROXY] 网络代理状态：未配置。无代理状态下很可能无法访问OpenAI家族的模型。建议：检查USE_PROXY选项是否修改。') | |
| else: | |
| print亮绿('[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 | |
| class DummyWith(): | |
| """ | |
| 这段代码定义了一个名为DummyWith的空上下文管理器， | |
| 它的作用是……额……没用，即在代码结构不变得情况下取代其他的上下文管理器。 | |
| 上下文管理器是一种Python对象，用于与with语句一起使用， | |
| 以确保一些资源在代码块执行期间得到正确的初始化和清理。 | |
| 上下文管理器必须实现两个方法，分别为 __enter__()和 __exit__()。 | |
| 在上下文执行开始的情况下，__enter__()方法会在代码块被执行前被调用， | |
| 而在上下文执行结束时，__exit__()方法则会被调用。 | |
| """ | |
| def __enter__(self): | |
| return self | |
| def __exit__(self, exc_type, exc_value, traceback): | |
| return | |