Files
NeoBot/plugins/discord-cross/translator.py
镀铬酸钾 be552a90ea Dev (#75)
* fix(discord): 修复 WebSocket 连接检测并增强跨平台文件处理

修复 Discord WebSocket 连接检测逻辑,使用正确的属性检查连接状态
为跨平台消息处理添加文件类型支持,并增加详细的调试日志
优化附件处理逻辑,确保所有文件类型都能正确识别和转发

* feat(跨平台): 优化消息处理并添加纯文本提取功能

添加 extract_text_only 函数过滤非文本标记
修改翻译逻辑仅处理纯文本内容
完善附件处理和消息内容拼接
修复仅包含表情时的消息处理问题

* refactor(discord-cross): 使用模块专用日志记录器替换全局日志记录器

将各模块中的全局日志记录器替换为模块专用日志记录器,以提供更清晰的日志来源标识
同时在适配器中添加会话状态检查和重连机制,提升消息发送的可靠性
2026-03-21 18:04:35 +08:00

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# -*- coding: utf-8 -*-
"""
跨平台消息互通插件翻译模块
"""
from typing import Dict, List
from core.utils.logger import ModuleLogger
from .config import config
# 创建模块专用日志记录器
logger = ModuleLogger("CrossPlatformTranslator")
# 翻译上下文缓存每个通道15条消息
TRANSLATION_CONTEXT_CACHE: Dict[str, List[Dict[str, str]]] = {}
MAX_CONTEXT_MESSAGES = 15
def get_translation_context(channel_id: int, direction: str) -> List[Dict[str, str]]:
"""获取翻译上下文缓存"""
cache_key = f"{channel_id}_{direction}"
return TRANSLATION_CONTEXT_CACHE.get(cache_key, [])
def add_translation_context(channel_id: int, direction: str, original: str, translated: str):
"""添加翻译到上下文缓存"""
cache_key = f"{channel_id}_{direction}"
if cache_key not in TRANSLATION_CONTEXT_CACHE:
TRANSLATION_CONTEXT_CACHE[cache_key] = []
TRANSLATION_CONTEXT_CACHE[cache_key].append({
"original": original,
"translated": translated
})
if len(TRANSLATION_CONTEXT_CACHE[cache_key]) > MAX_CONTEXT_MESSAGES:
TRANSLATION_CONTEXT_CACHE[cache_key] = TRANSLATION_CONTEXT_CACHE[cache_key][-MAX_CONTEXT_MESSAGES:]
async def translate_with_deepseek(
text: str,
target_lang: str = "zh-CN",
channel_id: int = 0,
direction: str = "en2zh"
) -> str:
"""使用 DeepSeek API 翻译文本"""
if not config.ENABLE_TRANSLATION or not text.strip():
return text
if config.DEEPSEEK_API_KEY == "your-deepseek-api-key-here":
logger.warning("[CrossPlatform] DeepSeek API 密钥未配置,跳过翻译")
return text
lang_name = "中文" if target_lang == "zh-CN" else "英文"
messages = []
context_ref = ""
if channel_id > 0:
context = get_translation_context(channel_id, direction)
if context:
context_ref = "\n\n参考之前的翻译:\n"
for i, ctx in enumerate(context[-5:], 1):
context_ref += f"{i}. 原文: {ctx['original'][:100]}\n 译文: {ctx['translated'][:100]}\n"
system_prompt = f"""你是一个专业的翻译助手。请将以下文本翻译成{lang_name}
只返回翻译后的文本,不要添加任何解释、注释或其他内容。避免翻译出仇视言论以及违反中国大陆相关法律法规的内容。如果有,请在翻译后有敏感的词语中把文本替换成井号(#
保持原文的语气和格式。如果文本已经是目标语言,直接返回原文。{context_ref}"""
messages.append({"role": "user", "content": text})
try:
from openai import AsyncOpenAI
client = AsyncOpenAI(
api_key=config.DEEPSEEK_API_KEY,
base_url=config.DEEPSEEK_API_URL.replace("/chat/completions", "")
)
response = await client.chat.completions.create(
model=config.DEEPSEEK_MODEL,
messages=[{"role": "system", "content": system_prompt}] + messages,
temperature=0.3,
max_tokens=4000
)
translated_text = response.choices[0].message.content
if translated_text:
translated_text = translated_text.strip()
logger.info(f"[CrossPlatform] 翻译成功: {text[:50]}... -> {translated_text[:50]}...")
if channel_id > 0:
add_translation_context(channel_id, direction, text, translated_text)
return translated_text
else:
logger.warning("[CrossPlatform] DeepSeek 返回空翻译结果")
return text
except ImportError:
logger.warning("[CrossPlatform] openai 库未安装,尝试使用同步请求")
return await translate_with_deepseek_sync(text, target_lang, channel_id, direction)
except Exception as e:
logger.error(f"[CrossPlatform] 翻译失败: {e}")
return text
async def translate_with_deepseek_sync(
text: str,
target_lang: str = "zh-CN",
channel_id: int = 0,
direction: str = "en2zh"
) -> str:
"""使用同步请求的 DeepSeek 翻译(备用方案)"""
if not config.ENABLE_TRANSLATION or not text.strip():
return text
if config.DEEPSEEK_API_KEY == "your-deepseek-api-key-here":
return text
lang_name = "中文" if target_lang == "zh-CN" else "英文"
context_ref = ""
if channel_id > 0:
context = get_translation_context(channel_id, direction)
if context:
context_ref = "\n\n参考之前的翻译:\n"
for i, ctx in enumerate(context[-5:], 1):
context_ref += f"{i}. 原文: {ctx['original'][:100]}\n 译文: {ctx['translated'][:100]}\n"
system_prompt = f"""你是一个专业的翻译助手。请将以下文本翻译成{lang_name}
只返回翻译后的文本,不要添加任何解释、注释或其他内容。避免翻译出仇视言论以及违反中国大陆相关法律法规的内容。如果有,请在翻译后有敏感的词语中把文本替换成井号(#
保持原文的语气和格式。如果文本已经是目标语言,直接返回原文。{context_ref}"""
messages = [{"role": "user", "content": text}]
try:
from openai import OpenAI
client = OpenAI(
api_key=config.DEEPSEEK_API_KEY,
base_url=config.DEEPSEEK_API_URL.replace("/chat/completions", "")
)
response = client.chat.completions.create(
model=config.DEEPSEEK_MODEL,
messages=[{"role": "system", "content": system_prompt}] + messages,
temperature=0.3,
max_tokens=4000
)
translated_text = response.choices[0].message.content
if translated_text:
translated_text = translated_text.strip()
if channel_id > 0:
add_translation_context(channel_id, direction, text, translated_text)
return translated_text
return text
except Exception as e:
logger.error(f"[CrossPlatform] 同步翻译失败: {e}")
return text