maminghui/ChatGPT
1
1# -*- coding:utf-8 -*-2from __future__ import annotations3from typing import TYPE_CHECKING, Any, Callable, Dict, List, Tuple, Type4import logging5import json6import os7import datetime8import hashlib9import csv10import requests11import re12 13import gradio as gr14from pypinyin import lazy_pinyin15import tiktoken16import mdtex2html17from markdown import markdown18from pygments import highlight19from pygments.lexers import get_lexer_by_name20from pygments.formatters import HtmlFormatter21 22from presets import *23 24# logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] [%(filename)s:%(lineno)d] %(message)s")25 26if TYPE_CHECKING:27 from typing import TypedDict28 29 class DataframeData(TypedDict):30 headers: List[str]31 data: List[List[str | int | bool]]32 33 34def count_token(message):35 encoding = tiktoken.get_encoding("cl100k_base")36 input_str = f"role: {message['role']}, content: {message['content']}"37 length = len(encoding.encode(input_str))38 return length39 40 41def markdown_to_html_with_syntax_highlight(md_str):42 def replacer(match):43 lang = match.group(1) or "text"44 code = match.group(2)45 46 try:47 lexer = get_lexer_by_name(lang, stripall=True)48 except ValueError:49 lexer = get_lexer_by_name("text", stripall=True)50 51 formatter = HtmlFormatter()52 highlighted_code = highlight(code, lexer, formatter)53 54 return f'<pre><code class="{lang}">{highlighted_code}</code></pre>'55 56 code_block_pattern = r"```(\w+)?\n([\s\S]+?)\n```"57 md_str = re.sub(code_block_pattern, replacer, md_str, flags=re.MULTILINE)58 59 html_str = markdown(md_str)60 return html_str61 62 63def normalize_markdown(md_text: str) -> str:64 lines = md_text.split("\n")65 normalized_lines = []66 inside_list = False67 68 for i, line in enumerate(lines):69 if re.match(r"^(\d+\.|-|\*|\+)\s", line.strip()):70 if not inside_list and i > 0 and lines[i - 1].strip() != "":71 normalized_lines.append("")72 inside_list = True73 normalized_lines.append(line)74 elif inside_list and line.strip() == "":75 if i < len(lines) - 1 and not re.match(76 r"^(\d+\.|-|\*|\+)\s", lines[i + 1].strip()77 ):78 normalized_lines.append(line)79 continue80 else:81 inside_list = False82 normalized_lines.append(line)83 84 return "\n".join(normalized_lines)85 86 87def convert_mdtext(md_text):88 code_block_pattern = re.compile(r"```(.*?)(?:```|$)", re.DOTALL)89 inline_code_pattern = re.compile(r"`(.*?)`", re.DOTALL)90 code_blocks = code_block_pattern.findall(md_text)91 non_code_parts = code_block_pattern.split(md_text)[::2]92 93 result = []94 for non_code, code in zip(non_code_parts, code_blocks + [""]):95 if non_code.strip():96 non_code = normalize_markdown(non_code)97 if inline_code_pattern.search(non_code):98 result.append(markdown(non_code, extensions=["tables"]))99 else:100 result.append(mdtex2html.convert(non_code, extensions=["tables"]))101 if code.strip():102 # _, code = detect_language(code) # 暂时去除代码高亮功能,因为在大段代码的情况下会出现问题103 # code = code.replace("\n\n", "\n") # 暂时去除代码中的空行,因为在大段代码的情况下会出现问题104 code = f"```{code}\n\n```"105 code = markdown_to_html_with_syntax_highlight(code)106 result.append(code)107 result = "".join(result)108 return result109 110 111def detect_language(code):112 if code.startswith("\n"):113 first_line = ""114 else:115 first_line = code.strip().split("\n", 1)[0]116 language = first_line.lower() if first_line else ""117 code_without_language = code[len(first_line) :].lstrip() if first_line else code118 return language, code_without_language119 120 121def construct_text(role, text):122 return {"role": role, "content": text}123 124 125def construct_user(text):126 return construct_text("user", text)127 128 129def construct_system(text):130 return construct_text("system", text)131 132 133def construct_assistant(text):134 return construct_text("assistant", text)135 136 137def construct_token_message(token, stream=False):138 return f"Token 计数: {token}"139 140 141def delete_last_conversation(chatbot, history, previous_token_count):142 if len(chatbot) > 0 and standard_error_msg in chatbot[-1][1]:143 logging.info("由于包含报错信息,只删除chatbot记录")144 chatbot.pop()145 return chatbot, history146 if len(history) > 0:147 logging.info("删除了一组对话历史")148 history.pop()149 history.pop()150 if len(chatbot) > 0:151 logging.info("删除了一组chatbot对话")152 chatbot.pop()153 if len(previous_token_count) > 0:154 logging.info("删除了一组对话的token计数记录")155 previous_token_count.pop()156 return (157 chatbot,158 history,159 previous_token_count,160 construct_token_message(sum(previous_token_count)),161 )162 163 164def save_file(filename, system, history, chatbot):165 logging.info("保存对话历史中……")166 os.makedirs(HISTORY_DIR, exist_ok=True)167 if filename.endswith(".json"):168 json_s = {"system": system, "history": history, "chatbot": chatbot}169 print(json_s)170 with open(os.path.join(HISTORY_DIR, filename), "w") as f:171 json.dump(json_s, f)172 elif filename.endswith(".md"):173 md_s = f"system: \n- {system} \n"174 for data in history:175 md_s += f"\n{data['role']}: \n- {data['content']} \n"176 with open(os.path.join(HISTORY_DIR, filename), "w", encoding="utf8") as f:177 f.write(md_s)178 logging.info("保存对话历史完毕")179 return os.path.join(HISTORY_DIR, filename)180 181 182def save_chat_history(filename, system, history, chatbot):183 if filename == "":184 return185 if not filename.endswith(".json"):186 filename += ".json"187 return save_file(filename, system, history, chatbot)188 189 190def export_markdown(filename, system, history, chatbot):191 if filename == "":192 return193 if not filename.endswith(".md"):194 filename += ".md"195 return save_file(filename, system, history, chatbot)196 197 198def load_chat_history(filename, system, history, chatbot):199 logging.info("加载对话历史中……")200 if type(filename) != str:201 filename = filename.name202 try:203 with open(os.path.join(HISTORY_DIR, filename), "r") as f:204 json_s = json.load(f)205 try:206 if type(json_s["history"][0]) == str:207 logging.info("历史记录格式为旧版,正在转换……")208 new_history = []209 for index, item in enumerate(json_s["history"]):210 if index % 2 == 0:211 new_history.append(construct_user(item))212 else:213 new_history.append(construct_assistant(item))214 json_s["history"] = new_history215 logging.info(new_history)216 except:217 # 没有对话历史218 pass219 logging.info("加载对话历史完毕")220 return filename, json_s["system"], json_s["history"], json_s["chatbot"]221 except FileNotFoundError:222 logging.info("没有找到对话历史文件,不执行任何操作")223 return filename, system, history, chatbot224 225 226def sorted_by_pinyin(list):227 return sorted(list, key=lambda char: lazy_pinyin(char)[0][0])228 229 230def get_file_names(dir, plain=False, filetypes=[".json"]):231 logging.info(f"获取文件名列表,目录为{dir},文件类型为{filetypes},是否为纯文本列表{plain}")232 files = []233 try:234 for type in filetypes:235 files += [f for f in os.listdir(dir) if f.endswith(type)]236 except FileNotFoundError:237 files = []238 files = sorted_by_pinyin(files)239 if files == []:240 files = [""]241 if plain:242 return files243 else:244 return gr.Dropdown.update(choices=files)245 246 247def get_history_names(plain=False):248 logging.info("获取历史记录文件名列表")249 return get_file_names(HISTORY_DIR, plain)250 251 252def load_template(filename, mode=0):253 logging.info(f"加载模板文件{filename},模式为{mode}(0为返回字典和下拉菜单,1为返回下拉菜单,2为返回字典)")254 lines = []255 logging.info("Loading template...")256 if filename.endswith(".json"):257 with open(os.path.join(TEMPLATES_DIR, filename), "r", encoding="utf8") as f:258 lines = json.load(f)259 lines = [[i["act"], i["prompt"]] for i in lines]260 else:261 with open(262 os.path.join(TEMPLATES_DIR, filename), "r", encoding="utf8"263 ) as csvfile:264 reader = csv.reader(csvfile)265 lines = list(reader)266 lines = lines[1:]267 if mode == 1:268 return sorted_by_pinyin([row[0] for row in lines])269 elif mode == 2:270 return {row[0]: row[1] for row in lines}271 else:272 choices = sorted_by_pinyin([row[0] for row in lines])273 return {row[0]: row[1] for row in lines}, gr.Dropdown.update(274 choices=choices, value=choices[0]275 )276 277 278def get_template_names(plain=False):279 logging.info("获取模板文件名列表")280 return get_file_names(TEMPLATES_DIR, plain, filetypes=[".csv", "json"])281 282 283def get_template_content(templates, selection, original_system_prompt):284 logging.info(f"应用模板中,选择为{selection},原始系统提示为{original_system_prompt}")285 try:286 return templates[selection]287 except:288 return original_system_prompt289 290 291def reset_state():292 logging.info("重置状态")293 return [], [], [], construct_token_message(0)294 295 296def reset_textbox():297 return gr.update(value="")298 299 300def reset_default():301 global API_URL302 API_URL = "https://api.openai.com/v1/chat/completions"303 os.environ.pop("HTTPS_PROXY", None)304 os.environ.pop("https_proxy", None)305 return gr.update(value=API_URL), gr.update(value=""), "API URL 和代理已重置"306 307 308def change_api_url(url):309 global API_URL310 API_URL = url311 msg = f"API地址更改为了{url}"312 logging.info(msg)313 return msg314 315 316def change_proxy(proxy):317 os.environ["HTTPS_PROXY"] = proxy318 msg = f"代理更改为了{proxy}"319 logging.info(msg)320 return msg321 322 323def hide_middle_chars(s):324 if len(s) <= 8:325 return s326 else:327 head = s[:4]328 tail = s[-4:]329 hidden = "*" * (len(s) - 8)330 return head + hidden + tail331 332 333def submit_key(key):334 key = key.strip()335 msg = f"API密钥更改为了{hide_middle_chars(key)}"336 logging.info(msg)337 return key, msg338 339 340def sha1sum(filename):341 sha1 = hashlib.sha1()342 sha1.update(filename.encode("utf-8"))343 return sha1.hexdigest()344 345 346def replace_today(prompt):347 today = datetime.datetime.today().strftime("%Y-%m-%d")348 return prompt.replace("{current_date}", today)349 350 351def get_geoip():352 response = requests.get("https://ipapi.co/json/", timeout=5)353 try:354 data = response.json()355 except:356 data = {"error": True, "reason": "连接ipapi失败"}357 if "error" in data.keys():358 logging.warning(f"无法获取IP地址信息。\n{data}")359 if data["reason"] == "RateLimited":360 return (361 f"获取IP地理位置失败,因为达到了检测IP的速率限制。聊天功能可能仍然可用,但请注意,如果您的IP地址在不受支持的地区,您可能会遇到问题。"362 )363 else:364 return f"获取IP地理位置失败。原因:{data['reason']}。你仍然可以使用聊天功能。"365 else:366 country = data["country_name"]367 if country == "China":368 text = "**您的IP区域:中国。请立即检查代理设置,在不受支持的地区使用API可能导致账号被封禁。**"369 else:370 text = f"您的IP区域:{country}。"371 logging.info(text)372 return text373 374 375def find_n(lst, max_num):376 n = len(lst)377 total = sum(lst)378 379 if total < max_num:380 return n381 382 for i in range(len(lst)):383 if total - lst[i] < max_num:384 return n - i -1385 total = total - lst[i]386 return 1387 