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| # -*- 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 gradio as gr | |
| from pypinyin import lazy_pinyin | |
| import tiktoken | |
| 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]] | |
| initial_prompt = "You are a helpful assistant." | |
| API_URL = "https://api.openai.com/v1/chat/completions" | |
| HISTORY_DIR = "history" | |
| TEMPLATES_DIR = "templates" | |
| 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 parse_text(text): | |
| in_code_block = False | |
| new_lines = [] | |
| for line in text.split("\n"): | |
| if line.strip().startswith("```"): | |
| in_code_block = not in_code_block | |
| if in_code_block: | |
| if line.strip() != "": | |
| new_lines.append(line) | |
| else: | |
| new_lines.append(line) | |
| if in_code_block: | |
| new_lines.append("```") | |
| text = "\n".join(new_lines) | |
| return text | |
| 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) | |