mirror of https://github.com/Mai-with-u/MaiBot.git
441 lines
16 KiB
Python
441 lines
16 KiB
Python
from dataclasses import dataclass
|
||
from typing import Dict, Optional, List, Union
|
||
import html
|
||
import requests
|
||
import base64
|
||
from PIL import Image
|
||
import io
|
||
from .image_utils import storage_compress_image, storage_emoji
|
||
import os
|
||
from random import random
|
||
from nonebot.adapters.onebot.v11 import Bot
|
||
from .config import global_config, llm_config
|
||
import time
|
||
import asyncio
|
||
|
||
#解析各种CQ码
|
||
#包含CQ码类
|
||
|
||
|
||
|
||
|
||
@dataclass
|
||
class CQCode:
|
||
"""
|
||
CQ码数据类，用于存储和处理CQ码
|
||
|
||
属性:
|
||
type: CQ码类型（如'image', 'at', 'face'等）
|
||
params: CQ码的参数字典
|
||
raw_code: 原始CQ码字符串
|
||
translated_plain_text: 经过处理（如AI翻译）后的文本表示
|
||
"""
|
||
type: str
|
||
params: Dict[str, str]
|
||
# raw_code: str
|
||
group_id: int
|
||
user_id: int
|
||
group_name: str = ""
|
||
user_nickname: str = ""
|
||
translated_plain_text: Optional[str] = None
|
||
reply_message: Dict = None # 存储回复消息
|
||
image_base64: Optional[str] = None
|
||
|
||
@classmethod
|
||
def from_cq_code(cls, cq_code: str, reply: Dict = None) -> 'CQCode':
|
||
"""
|
||
从CQ码字符串创建CQCode对象
|
||
例如：[CQ:image,file=1.jpg,url=http://example.com/1.jpg]
|
||
"""
|
||
if not cq_code.startswith('[CQ:'):
|
||
return cls('text', {'text': cq_code}, cq_code, group_id=0, user_id=0)
|
||
|
||
# 移除前后的[]
|
||
content = cq_code[1:-1]
|
||
# 分离类型和参数部分
|
||
parts = content.split(',')
|
||
if not parts:
|
||
return cls('text', {'text': cq_code}, cq_code, group_id=0, user_id=0)
|
||
|
||
# 获取CQ类型
|
||
cq_type = parts[0][3:] # 去掉'CQ:'
|
||
|
||
# 解析参数
|
||
params = {}
|
||
for part in parts[1:]:
|
||
if '=' in part:
|
||
key, value = part.split('=', 1)
|
||
# 处理转义字符
|
||
value = cls.unescape(value)
|
||
params[key] = value
|
||
|
||
# 创建实例
|
||
instance = cls(cq_type, params, cq_code, group_id=0, user_id=0, reply_message=reply)
|
||
# 根据类型进行相应的翻译处理
|
||
instance.translate()
|
||
return instance
|
||
|
||
def translate(self):
|
||
"""根据CQ码类型进行相应的翻译处理"""
|
||
if self.type == 'text':
|
||
self.translated_plain_text = self.params.get('text', '')
|
||
elif self.type == 'image':
|
||
if self.params.get('sub_type') == '0':
|
||
self.translated_plain_text = self.translate_image()
|
||
else:
|
||
self.translated_plain_text = self.translate_emoji()
|
||
elif self.type == 'at':
|
||
from .message import Message
|
||
message_obj = Message(
|
||
user_id=str(self.params.get('qq', ''))
|
||
)
|
||
self.translated_plain_text = f"@{message_obj.user_nickname}"
|
||
elif self.type == 'reply':
|
||
self.translated_plain_text = self.translate_reply()
|
||
elif self.type == 'face':
|
||
face_id = self.params.get('id', '')
|
||
# self.translated_plain_text = f"[表情{face_id}]"
|
||
self.translated_plain_text = f"[表情]"
|
||
elif self.type == 'forward':
|
||
self.translated_plain_text = self.translate_forward()
|
||
else:
|
||
self.translated_plain_text = f"[{self.type}]"
|
||
|
||
def get_img(self):
|
||
'''
|
||
headers = {
|
||
'User-Agent': 'QQ/8.9.68.11565 CFNetwork/1220.1 Darwin/20.3.0',
|
||
'Accept': 'image/*;q=0.8',
|
||
'Accept-Encoding': 'gzip, deflate, br',
|
||
'Connection': 'keep-alive',
|
||
'Cache-Control': 'no-cache',
|
||
'Pragma': 'no-cache'
|
||
}
|
||
'''
|
||
|
||
headers = {
|
||
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.87 Safari/537.36',
|
||
'Accept': 'text/html, application/xhtml xml, */*',
|
||
'Accept-Encoding': 'gbk, GB2312',
|
||
'Accept-Language': 'zh-cn',
|
||
'Content-Type': 'application/x-www-form-urlencoded',
|
||
'Cache-Control': 'no-cache'
|
||
}
|
||
url = html.unescape(self.params['url'])
|
||
if not url.startswith(('http://', 'https://')):
|
||
return None # 直接返回而不是抛出异常
|
||
|
||
max_retries = 3
|
||
for retry in range(max_retries):
|
||
try:
|
||
response = requests.get(url, headers=headers, timeout=10, verify=False)
|
||
if response.status_code == 200:
|
||
break
|
||
elif response.status_code == 400 and 'multimedia.nt.qq.com.cn' in url:
|
||
# 对于腾讯多媒体服务器的链接，直接返回图片描述
|
||
return None
|
||
time.sleep(1) # 重试前等待1秒
|
||
except requests.RequestException:
|
||
if retry == max_retries - 1:
|
||
raise
|
||
time.sleep(1)
|
||
if response.status_code != 200:
|
||
print(f"\033[1;31m[警告]\033[0m 图片下载失败: HTTP {response.status_code}, URL: {url}")
|
||
return None # 直接返回而不是抛出异常
|
||
#检查是否为图片
|
||
content_type = response.headers.get('content-type', '')
|
||
if not content_type.startswith('image/'):
|
||
print(f"\033[1;31m[警告]\033[0m 非图片类型响应: {content_type}")
|
||
return None # 直接返回而不是抛出异常
|
||
content = response.content
|
||
image_base64 = base64.b64encode(content).decode('utf-8')
|
||
if image_base64:
|
||
self.image_base64 = image_base64
|
||
return image_base64
|
||
else:
|
||
return None
|
||
|
||
def translate_emoji(self) -> str:
|
||
"""处理表情包类型的CQ码"""
|
||
if 'url' not in self.params:
|
||
return '[表情包]'
|
||
base64 = self.get_img()
|
||
if base64:
|
||
return self.get_image_description(base64)
|
||
else:
|
||
return '[表情包]'
|
||
|
||
|
||
def translate_image(self) -> str:
|
||
"""处理图片类型的CQ码，区分普通图片和表情包"""
|
||
#没有url，直接返回默认文本
|
||
if 'url' not in self.params:
|
||
return '[图片]'
|
||
base64 = self.get_img()
|
||
if base64:
|
||
return self.get_image_description(base64)
|
||
else:
|
||
return '[图片]'
|
||
|
||
def get_emoji_description(self, image_base64: str) -> str:
|
||
"""调用AI接口获取表情包描述"""
|
||
headers = {
|
||
"Content-Type": "application/json",
|
||
"Authorization": f"Bearer {llm_config.SILICONFLOW_API_KEY}"
|
||
}
|
||
|
||
payload = {
|
||
"model": "deepseek-ai/deepseek-vl2",
|
||
"messages": [
|
||
{
|
||
"role": "user",
|
||
"content": [
|
||
{
|
||
"type": "text",
|
||
"text": "这是一个表情包，请用简短的中文描述这个表情包传达的情感和含义。最多20个字。"
|
||
},
|
||
{
|
||
"type": "image_url",
|
||
"image_url": {
|
||
"url": f"data:image/jpeg;base64,{image_base64}"
|
||
}
|
||
}
|
||
]
|
||
}
|
||
],
|
||
"max_tokens": 50,
|
||
"temperature": 0.4
|
||
}
|
||
|
||
response = requests.post(
|
||
f"{llm_config.SILICONFLOW_BASE_URL}chat/completions",
|
||
headers=headers,
|
||
json=payload,
|
||
timeout=30
|
||
)
|
||
|
||
if response.status_code == 200:
|
||
result_json = response.json()
|
||
if "choices" in result_json and len(result_json["choices"]) > 0:
|
||
description = result_json["choices"][0]["message"]["content"]
|
||
return f"[表情包：{description}]"
|
||
|
||
raise ValueError(f"AI接口调用失败: {response.text}")
|
||
|
||
def get_image_description(self, image_base64: str) -> str:
|
||
"""调用AI接口获取普通图片描述"""
|
||
headers = {
|
||
"Content-Type": "application/json",
|
||
"Authorization": f"Bearer {llm_config.SILICONFLOW_API_KEY}"
|
||
}
|
||
|
||
payload = {
|
||
"model": "deepseek-ai/deepseek-vl2",
|
||
"messages": [
|
||
{
|
||
"role": "user",
|
||
"content": [
|
||
{
|
||
"type": "text",
|
||
"text": "请用中文描述这张图片的内容。如果有文字，请把文字都描述出来。并尝试猜测这个图片的含义。最多200个字。"
|
||
},
|
||
{
|
||
"type": "image_url",
|
||
"image_url": {
|
||
"url": f"data:image/jpeg;base64,{image_base64}"
|
||
}
|
||
}
|
||
]
|
||
}
|
||
],
|
||
"max_tokens": 300,
|
||
"temperature": 0.6
|
||
}
|
||
|
||
response = requests.post(
|
||
f"{llm_config.SILICONFLOW_BASE_URL}chat/completions",
|
||
headers=headers,
|
||
json=payload,
|
||
timeout=30
|
||
)
|
||
|
||
if response.status_code == 200:
|
||
result_json = response.json()
|
||
if "choices" in result_json and len(result_json["choices"]) > 0:
|
||
description = result_json["choices"][0]["message"]["content"]
|
||
return f"[图片：{description}]"
|
||
|
||
raise ValueError(f"AI接口调用失败: {response.text}")
|
||
|
||
def translate_forward(self) -> str:
|
||
"""处理转发消息"""
|
||
try:
|
||
if 'content' not in self.params:
|
||
return '[转发消息]'
|
||
|
||
# 解析content内容（需要先反转义）
|
||
content = self.unescape(self.params['content'])
|
||
# print(f"\033[1;34m[调试信息]\033[0m 转发消息内容: {content}")
|
||
# 将字符串形式的列表转换为Python对象
|
||
import ast
|
||
try:
|
||
messages = ast.literal_eval(content)
|
||
except ValueError as e:
|
||
print(f"\033[1;31m[错误]\033[0m 解析转发消息内容失败: {str(e)}")
|
||
return '[转发消息]'
|
||
|
||
# 处理每条消息
|
||
formatted_messages = []
|
||
for msg in messages:
|
||
sender = msg.get('sender', {})
|
||
nickname = sender.get('card') or sender.get('nickname', '未知用户')
|
||
|
||
# 获取消息内容并使用Message类处理
|
||
raw_message = msg.get('raw_message', '')
|
||
message_array = msg.get('message', [])
|
||
|
||
if message_array and isinstance(message_array, list):
|
||
# 检查是否包含嵌套的转发消息
|
||
for message_part in message_array:
|
||
if message_part.get('type') == 'forward':
|
||
content = '[转发消息]'
|
||
break
|
||
else:
|
||
# 处理普通消息
|
||
if raw_message:
|
||
from .message import Message
|
||
message_obj = Message(
|
||
user_id=msg.get('user_id', 0),
|
||
message_id=msg.get('message_id', 0),
|
||
raw_message=raw_message,
|
||
plain_text=raw_message,
|
||
group_id=msg.get('group_id', 0)
|
||
)
|
||
content = message_obj.processed_plain_text
|
||
else:
|
||
content = '[空消息]'
|
||
else:
|
||
# 处理普通消息
|
||
if raw_message:
|
||
from .message import Message
|
||
message_obj = Message(
|
||
user_id=msg.get('user_id', 0),
|
||
message_id=msg.get('message_id', 0),
|
||
raw_message=raw_message,
|
||
plain_text=raw_message,
|
||
group_id=msg.get('group_id', 0)
|
||
)
|
||
content = message_obj.processed_plain_text
|
||
else:
|
||
content = '[空消息]'
|
||
|
||
formatted_msg = f"{nickname}: {content}"
|
||
formatted_messages.append(formatted_msg)
|
||
|
||
# 合并所有消息
|
||
combined_messages = '\n'.join(formatted_messages)
|
||
print(f"\033[1;34m[调试信息]\033[0m 合并后的转发消息: {combined_messages}")
|
||
return f"[转发消息:\n{combined_messages}]"
|
||
|
||
except Exception as e:
|
||
print(f"\033[1;31m[错误]\033[0m 处理转发消息失败: {str(e)}")
|
||
return '[转发消息]'
|
||
|
||
def translate_reply(self) -> str:
|
||
"""处理回复类型的CQ码"""
|
||
|
||
# 创建Message对象
|
||
from .message import Message
|
||
if self.reply_message == None:
|
||
return '[回复某人消息]'
|
||
|
||
if self.reply_message.sender.user_id:
|
||
message_obj = Message(
|
||
user_id=self.reply_message.sender.user_id,
|
||
message_id=self.reply_message.message_id,
|
||
raw_message=str(self.reply_message.message),
|
||
group_id=self.group_id
|
||
)
|
||
if message_obj.user_id == global_config.BOT_QQ:
|
||
return f"[回复 {global_config.BOT_NICKNAME} 的消息: {message_obj.processed_plain_text}]"
|
||
else:
|
||
return f"[回复 {self.reply_message.sender.nickname} 的消息: {message_obj.processed_plain_text}]"
|
||
|
||
else:
|
||
return '[回复某人消息]'
|
||
|
||
@staticmethod
|
||
def unescape(text: str) -> str:
|
||
"""反转义CQ码中的特殊字符"""
|
||
return text.replace(',', ',') \
|
||
.replace('[', '[') \
|
||
.replace(']', ']') \
|
||
.replace('&', '&')
|
||
|
||
@staticmethod
|
||
def create_emoji_cq(file_path: str) -> str:
|
||
"""
|
||
创建表情包CQ码
|
||
Args:
|
||
file_path: 本地表情包文件路径
|
||
Returns:
|
||
表情包CQ码字符串
|
||
"""
|
||
# 确保使用绝对路径
|
||
abs_path = os.path.abspath(file_path)
|
||
# 转义特殊字符
|
||
escaped_path = abs_path.replace('&', '&') \
|
||
.replace('[', '[') \
|
||
.replace(']', ']') \
|
||
.replace(',', ',')
|
||
# 生成CQ码，设置sub_type=1表示这是表情包
|
||
return f"[CQ:image,file=file:///{escaped_path},sub_type=1]"
|
||
|
||
class CQCode_tool:
|
||
@staticmethod
|
||
def cq_from_dict_to_class(cq_code: Dict, reply: Optional[Dict] = None) -> CQCode:
|
||
"""
|
||
将CQ码字典转换为CQCode对象
|
||
|
||
Args:
|
||
cq_code: CQ码字典
|
||
reply: 回复消息的字典（可选）
|
||
|
||
Returns:
|
||
CQCode对象
|
||
"""
|
||
# 处理字典形式的CQ码
|
||
# 从cq_code字典中获取type字段的值,如果不存在则默认为'text'
|
||
cq_type = cq_code.get('type', 'text')
|
||
params = {}
|
||
if cq_type == 'text':
|
||
params['text'] = cq_code.get('data', {}).get('text', '')
|
||
else:
|
||
params = cq_code.get('data', {})
|
||
|
||
instance = CQCode(
|
||
type=cq_type,
|
||
params=params,
|
||
group_id=0,
|
||
user_id=0,
|
||
reply_message=reply
|
||
)
|
||
|
||
# 进行翻译处理
|
||
instance.translate()
|
||
return instance
|
||
|
||
@staticmethod
|
||
def create_reply_cq(message_id: int) -> str:
|
||
"""
|
||
创建回复CQ码
|
||
Args:
|
||
message_id: 回复的消息ID
|
||
Returns:
|
||
回复CQ码字符串
|
||
"""
|
||
return f"[CQ:reply,id={message_id}]"
|
||
|
||
|
||
cq_code_tool = CQCode_tool()
|