# -*- coding:utf-8 -*- from __future__ import annotations from typing import TYPE_CHECKING, Any, Callable, Dict, List, Tuple, Type import logging import json import os import datetime import hashlib import csv import requests import re import gradio as gr from pypinyin import lazy_pinyin import tiktoken import mdtex2html from markdown import markdown from pygments import highlight from pygments.lexers import get_lexer_by_name from pygments.formatters import HtmlFormatter from presets import * # logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] [%(filename)s:%(lineno)d] %(message)s") if TYPE_CHECKING: from typing import TypedDict class DataframeData(TypedDict): headers: List[str] data: List[List[str | int | bool]] def count_token(message): encoding = tiktoken.get_encoding("cl100k_base") input_str = f"role: {message['role']}, content: {message['content']}" length = len(encoding.encode(input_str)) return length def markdown_to_html_with_syntax_highlight(md_str): def replacer(match): lang = match.group(1) or "text" code = match.group(2) try: lexer = get_lexer_by_name(lang, stripall=True) except ValueError: lexer = get_lexer_by_name("text", stripall=True) formatter = HtmlFormatter() highlighted_code = highlight(code, lexer, formatter) return f'
{highlighted_code}
' code_block_pattern = r"```(\w+)?\n([\s\S]+?)\n```" md_str = re.sub(code_block_pattern, replacer, md_str, flags=re.MULTILINE) html_str = markdown(md_str) return html_str def normalize_markdown(md_text: str) -> str: lines = md_text.split("\n") normalized_lines = [] inside_list = False for i, line in enumerate(lines): if re.match(r"^(\d+\.|-|\*|\+)\s", line.strip()): if not inside_list and i > 0 and lines[i - 1].strip() != "": normalized_lines.append("") inside_list = True normalized_lines.append(line) elif inside_list and line.strip() == "": if i < len(lines) - 1 and not re.match( r"^(\d+\.|-|\*|\+)\s", lines[i + 1].strip() ): normalized_lines.append(line) continue else: inside_list = False normalized_lines.append(line) return "\n".join(normalized_lines) def convert_mdtext(md_text): code_block_pattern = re.compile(r"```(.*?)(?:```|$)", re.DOTALL) inline_code_pattern = re.compile(r"`(.*?)`", re.DOTALL) code_blocks = code_block_pattern.findall(md_text) non_code_parts = code_block_pattern.split(md_text)[::2] result = [] for non_code, code in zip(non_code_parts, code_blocks + [""]): if non_code.strip(): non_code = normalize_markdown(non_code) if inline_code_pattern.search(non_code): result.append(markdown(non_code, extensions=["tables"])) else: result.append(mdtex2html.convert(non_code, extensions=["tables"])) if code.strip(): # _, 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 # 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 code = f"```{code}\n\n```" code = markdown_to_html_with_syntax_highlight(code) result.append(code) result = "".join(result) return result def convert_user(userinput): userinput = userinput.replace("\n", "
") return f"
{userinput}
" def detect_language(code): if code.startswith("\n"): first_line = "" else: first_line = code.strip().split("\n", 1)[0] language = first_line.lower() if first_line else "" code_without_language = code[len(first_line) :].lstrip() if first_line else code return language, code_without_language def construct_text(role, text): return {"role": role, "content": text} def construct_user(text): return construct_text("user", text) def construct_system(text): return construct_text("system", text) def construct_assistant(text): return construct_text("assistant", text) def construct_token_message(token, stream=False): return f"Token 计数: {token}" def delete_last_conversation(chatbot, history, previous_token_count): if len(chatbot) > 0 and standard_error_msg in chatbot[-1][1]: logging.info("由于包含报错信息,只删除chatbot记录") chatbot.pop() return chatbot, history if len(history) > 0: logging.info("删除了一组对话历史") history.pop() history.pop() if len(chatbot) > 0: logging.info("删除了一组chatbot对话") chatbot.pop() if len(previous_token_count) > 0: logging.info("删除了一组对话的token计数记录") previous_token_count.pop() return ( chatbot, history, previous_token_count, construct_token_message(sum(previous_token_count)), ) def save_file(filename, system, history, chatbot): logging.info("保存对话历史中……") os.makedirs(HISTORY_DIR, exist_ok=True) if filename.endswith(".json"): json_s = {"system": system, "history": history, "chatbot": chatbot} print(json_s) with open(os.path.join(HISTORY_DIR, filename), "w") as f: json.dump(json_s, f) elif filename.endswith(".md"): md_s = f"system: \n- {system} \n" for data in history: md_s += f"\n{data['role']}: \n- {data['content']} \n" with open(os.path.join(HISTORY_DIR, filename), "w", encoding="utf8") as f: f.write(md_s) logging.info("保存对话历史完毕") return os.path.join(HISTORY_DIR, filename) def save_chat_history(filename, system, history, chatbot): if filename == "": return if not filename.endswith(".json"): filename += ".json" return save_file(filename, system, history, chatbot) def export_markdown(filename, system, history, chatbot): if filename == "": return if not filename.endswith(".md"): filename += ".md" return save_file(filename, system, history, chatbot) def load_chat_history(filename, system, history, chatbot): logging.info("加载对话历史中……") if type(filename) != str: filename = filename.name try: with open(os.path.join(HISTORY_DIR, filename), "r") as f: json_s = json.load(f) try: if type(json_s["history"][0]) == str: logging.info("历史记录格式为旧版,正在转换……") new_history = [] for index, item in enumerate(json_s["history"]): if index % 2 == 0: new_history.append(construct_user(item)) else: new_history.append(construct_assistant(item)) json_s["history"] = new_history logging.info(new_history) except: # 没有对话历史 pass logging.info("加载对话历史完毕") return filename, json_s["system"], json_s["history"], json_s["chatbot"] except FileNotFoundError: logging.info("没有找到对话历史文件,不执行任何操作") return filename, system, history, chatbot def sorted_by_pinyin(list): return sorted(list, key=lambda char: lazy_pinyin(char)[0][0]) def get_file_names(dir, plain=False, filetypes=[".json"]): 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}") files = [] try: for type in filetypes: files += [f for f in os.listdir(dir) if f.endswith(type)] except FileNotFoundError: files = [] files = sorted_by_pinyin(files) if files == []: files = [""] if plain: return files else: return gr.Dropdown.update(choices=files) def get_history_names(plain=False): logging.info("获取历史记录文件名列表") return get_file_names(HISTORY_DIR, plain) def load_template(filename, mode=0): 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)") lines = [] logging.info("Loading template...") if filename.endswith(".json"): with open(os.path.join(TEMPLATES_DIR, filename), "r", encoding="utf8") as f: lines = json.load(f) lines = [[i["act"], i["prompt"]] for i in lines] else: with open( os.path.join(TEMPLATES_DIR, filename), "r", encoding="utf8" ) as csvfile: reader = csv.reader(csvfile) lines = list(reader) lines = lines[1:] if mode == 1: return sorted_by_pinyin([row[0] for row in lines]) elif mode == 2: return {row[0]: row[1] for row in lines} else: choices = sorted_by_pinyin([row[0] for row in lines]) return {row[0]: row[1] for row in lines}, gr.Dropdown.update( choices=choices, value=choices[0] ) def get_template_names(plain=False): logging.info("获取模板文件名列表") return get_file_names(TEMPLATES_DIR, plain, filetypes=[".csv", "json"]) def get_template_content(templates, selection, original_system_prompt): logging.info(f"应用模板中,选择为{selection},原始系统提示为{original_system_prompt}") try: return templates[selection] except: return original_system_prompt def reset_state(): logging.info("重置状态") return [], [], [], construct_token_message(0) def reset_textbox(): return gr.update(value="") def reset_default(): global API_URL API_URL = "https://api.openai.com/v1/chat/completions" os.environ.pop("HTTPS_PROXY", None) os.environ.pop("https_proxy", None) return gr.update(value=API_URL), gr.update(value=""), "API URL 和代理已重置" def change_api_url(url): global API_URL API_URL = url msg = f"API地址更改为了{url}" logging.info(msg) return msg def change_proxy(proxy): os.environ["HTTPS_PROXY"] = proxy msg = f"代理更改为了{proxy}" logging.info(msg) return msg def hide_middle_chars(s): if len(s) <= 8: return s else: head = s[:4] tail = s[-4:] hidden = "*" * (len(s) - 8) return head + hidden + tail def submit_key(key): key = key.strip() msg = f"API密钥更改为了{hide_middle_chars(key)}" logging.info(msg) return key, msg def sha1sum(filename): sha1 = hashlib.sha1() sha1.update(filename.encode("utf-8")) return sha1.hexdigest() def replace_today(prompt): today = datetime.datetime.today().strftime("%Y-%m-%d") return prompt.replace("{current_date}", today) def get_geoip(): response = requests.get("https://ipapi.co/json/", timeout=5) try: data = response.json() except: data = {"error": True, "reason": "连接ipapi失败"} if "error" in data.keys(): logging.warning(f"无法获取IP地址信息。\n{data}") if data["reason"] == "RateLimited": return ( 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。" ) else: 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。" else: country = data["country_name"] if country == "China": 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。**" else: text = f"您的IP区域:{country}。" logging.info(text) return text def find_n(lst, max_num): n = len(lst) total = sum(lst) if total < max_num: return n for i in range(len(lst)): if total - lst[i] < max_num: return n - i -1 total = total - lst[i] return 1