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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 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'<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"```{code}\n\n```"
code = markdown_to_html_with_syntax_highlight(code)
result.append(code)
result = "".join(result)
return result
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
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