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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 requests | |
import re | |
import html | |
import sys | |
import subprocess | |
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 | |
import pandas as pd | |
from modules.presets import * | |
from . import shared | |
from modules.config import retrieve_proxy | |
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'<pre><code class="{lang}">{highlighted_code}</code></pre>' | |
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"\n```{code}\n\n```" | |
code = markdown_to_html_with_syntax_highlight(code) | |
result.append(code) | |
result = "".join(result) | |
result += ALREADY_CONVERTED_MARK | |
return result | |
def convert_asis(userinput): | |
return ( | |
f'<p style="white-space:pre-wrap;">{html.escape(userinput)}</p>' | |
+ ALREADY_CONVERTED_MARK | |
) | |
def detect_converted_mark(userinput): | |
if userinput.endswith(ALREADY_CONVERTED_MARK): | |
return True | |
else: | |
return False | |
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(tokens: List[int]): | |
token_sum = 0 | |
for i in range(len(tokens)): | |
token_sum += sum(tokens[: i + 1]) | |
return f"Token 计数: {sum(tokens)},本次对话累计消耗了 {token_sum} tokens" | |
def delete_first_conversation(history, previous_token_count): | |
if history: | |
del history[:2] | |
del previous_token_count[0] | |
return ( | |
history, | |
previous_token_count, | |
construct_token_message(previous_token_count), | |
) | |
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(previous_token_count), | |
) | |
def save_file(filename, system, history, chatbot, user_name): | |
logging.info(f"{user_name} 保存对话历史中……") | |
os.makedirs(HISTORY_DIR / user_name, 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 / user_name, 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 / user_name, filename), "w", encoding="utf8") as f: | |
f.write(md_s) | |
logging.info(f"{user_name} 保存对话历史完毕") | |
return os.path.join(HISTORY_DIR / user_name, filename) | |
def save_chat_history(filename, system, history, chatbot, user_name): | |
if filename == "": | |
return | |
if not filename.endswith(".json"): | |
filename += ".json" | |
return save_file(filename, system, history, chatbot, user_name) | |
def export_markdown(filename, system, history, chatbot, user_name): | |
if filename == "": | |
return | |
if not filename.endswith(".md"): | |
filename += ".md" | |
return save_file(filename, system, history, chatbot, user_name) | |
def load_chat_history(filename, system, history, chatbot, user_name): | |
logging.info(f"{user_name} 加载对话历史中……") | |
if type(filename) != str: | |
filename = filename.name | |
try: | |
with open(os.path.join(HISTORY_DIR / user_name, 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(f"{user_name} 加载对话历史完毕") | |
return filename, json_s["system"], json_s["history"], json_s["chatbot"] | |
except FileNotFoundError: | |
logging.info(f"{user_name} 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 = [""] | |
logging.debug(f"files are:{files}") | |
if plain: | |
return files | |
else: | |
return gr.Dropdown.update(choices=files) | |
def get_history_names(plain=False, user_name=""): | |
logging.info(f"从用户 {user_name} 中获取历史记录文件名列表") | |
return get_file_names(HISTORY_DIR / user_name, 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 | |
) | |
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(): | |
logging.debug("重置文本框") | |
return gr.update(value="") | |
def reset_default(): | |
default_host = shared.state.reset_api_host() | |
retrieve_proxy("") | |
return gr.update(value=default_host), gr.update(value=""), "API-Host 和代理已重置" | |
def change_api_host(host): | |
shared.state.set_api_host(host) | |
msg = f"API-Host更改为了{host}" | |
logging.info(msg) | |
return msg | |
def change_proxy(proxy): | |
retrieve_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 s is None: | |
return "" | |
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 replace_today(prompt): | |
today = datetime.datetime.today().strftime("%Y-%m-%d") | |
return prompt.replace("{current_date}", today) | |
def get_geoip(): | |
try: | |
with retrieve_proxy(): | |
response = requests.get("https://ipapi.co/json/", timeout=5) | |
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。" | |
) | |
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 | |
def start_outputing(): | |
logging.debug("显示取消按钮,隐藏发送按钮") | |
return gr.Button.update(visible=True), gr.Button.update(visible=False) | |
def end_outputing(): | |
return ( | |
gr.Button.update(visible=True), | |
gr.Button.update(visible=False), | |
) | |
def cancel_outputing(): | |
logging.info("中止输出……") | |
shared.state.interrupt() | |
def transfer_input(inputs): | |
# 一次性返回,降低延迟 | |
textbox = reset_textbox() | |
outputing = start_outputing() | |
return ( | |
inputs, | |
gr.update(value=""), | |
gr.Button.update(visible=False), | |
gr.Button.update(visible=True), | |
) | |
def run(command, desc=None, errdesc=None, custom_env=None, live=False): | |
if desc is not None: | |
print(desc) | |
if live: | |
result = subprocess.run(command, shell=True, env=os.environ if custom_env is None else custom_env) | |
if result.returncode != 0: | |
raise RuntimeError(f"""{errdesc or 'Error running command'}. | |
Command: {command} | |
Error code: {result.returncode}""") | |
return "" | |
result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, env=os.environ if custom_env is None else custom_env) | |
if result.returncode != 0: | |
message = f"""{errdesc or 'Error running command'}. | |
Command: {command} | |
Error code: {result.returncode} | |
stdout: {result.stdout.decode(encoding="utf8", errors="ignore") if len(result.stdout)>0 else '<empty>'} | |
stderr: {result.stderr.decode(encoding="utf8", errors="ignore") if len(result.stderr)>0 else '<empty>'} | |
""" | |
raise RuntimeError(message) | |
return result.stdout.decode(encoding="utf8", errors="ignore") | |
def versions_html(): | |
git = os.environ.get('GIT', "git") | |
python_version = ".".join([str(x) for x in sys.version_info[0:3]]) | |
try: | |
commit_hash = run(f"{git} rev-parse HEAD").strip() | |
except Exception: | |
commit_hash = "<none>" | |
if commit_hash != "<none>": | |
short_commit = commit_hash[0:7] | |
commit_info = f"<a style=\"text-decoration:none\" href=\"https://github.com/GaiZhenbiao/ChuanhuChatGPT/commit/{short_commit}\">{short_commit}</a>" | |
else: | |
commit_info = "unknown \U0001F615" | |
return f""" | |
Python: <span title="{sys.version}">{python_version}</span> | |
• | |
Gradio: {gr.__version__} | |
• | |
Commit: {commit_info} | |
""" | |
def add_source_numbers(lst, source_name = "Source", use_source = True): | |
if use_source: | |
return [f'[{idx+1}]\t "{item[0]}"\n{source_name}: {item[1]}' for idx, item in enumerate(lst)] | |
else: | |
return [f'[{idx+1}]\t "{item}"' for idx, item in enumerate(lst)] | |
def add_details(lst): | |
nodes = [] | |
for index, txt in enumerate(lst): | |
brief = txt[:25].replace("\n", "") | |
nodes.append( | |
f"<details><summary>{brief}...</summary><p>{txt}</p></details>" | |
) | |
return nodes | |
def sheet_to_string(sheet): | |
result = "" | |
for index, row in sheet.iterrows(): | |
row_string = "" | |
for column in sheet.columns: | |
row_string += f"{column}: {row[column]}, " | |
row_string = row_string.rstrip(", ") | |
row_string += "." | |
result += row_string + "\n" | |
return result | |
def excel_to_string(file_path): | |
# 读取Excel文件中的所有工作表 | |
excel_file = pd.read_excel(file_path, engine='openpyxl', sheet_name=None) | |
# 初始化结果字符串 | |
result = "" | |
# 遍历每一个工作表 | |
for sheet_name, sheet_data in excel_file.items(): | |
# 将工作表名称添加到结果字符串 | |
result += f"Sheet: {sheet_name}\n" | |
# 处理当前工作表并添加到结果字符串 | |
result += sheet_to_string(sheet_data) | |
# 在不同工作表之间添加分隔符 | |
result += "\n" + ("-" * 20) + "\n\n" | |
return result | |