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import re | ||
try: | ||
import openai | ||
except ImportError: | ||
openai = None | ||
import asyncio | ||
import time | ||
from typing import List, Dict | ||
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from .common import CommonTranslator, MissingAPIKeyException | ||
from .keys import DEEPSEEK_API_KEY, DEEPSEEK_API_BASE | ||
from .chatgpt import GPT4Translator | ||
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class DeepseekTranslator(GPT4Translator): | ||
""" | ||
Deepseek翻译器类,继承自GPT4Translator,用于实现特定的翻译功能。 | ||
""" | ||
# Deepseek翻译器的配置键 | ||
_CONFIG_KEY = 'deepseek' | ||
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# 每分钟的最大请求次数 | ||
_MAX_REQUESTS_PER_MINUTE = 200 | ||
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# 重试次数 | ||
_RETRY_ATTEMPTS = 5 | ||
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# 最大令牌数 | ||
_MAX_TOKENS = 4096 | ||
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def __init__(self, check_openai_key=True): | ||
""" | ||
初始化ChatGPTTranslator类. | ||
参数: | ||
- check_openai_key: 布尔值,指示是否检查OPENAI_API_KEY环境变量的存在. | ||
初始化过程: | ||
- 初始化父类. | ||
- 使用提供的API密钥或环境变量中的密钥创建一个OpenAI客户端. | ||
- 如果API密钥未设置且需要检查,则抛出异常. | ||
- 设置客户端的基础URL. | ||
- 初始化用于计数令牌的变量. | ||
- 初始化配置对象. | ||
""" | ||
# 调用父类的初始化方法 | ||
super().__init__() | ||
# 使用提供的API密钥或从环境变量获取的密钥初始化OpenAI客户端 | ||
self.client = openai.AsyncOpenAI(api_key=openai.api_key or DEEPSEEK_API_KEY) | ||
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# 检查API密钥是否设置,如果没有且需要检查,则抛出异常 | ||
if not self.client.api_key and check_openai_key: | ||
raise MissingAPIKeyException('Please set the OPENAI_API_KEY environment variable before using the chatgpt translator.') | ||
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# 设置客户端的基础URL | ||
self.client.base_url = DEEPSEEK_API_BASE | ||
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# 初始化令牌计数器 | ||
self.token_count = 0 | ||
self.token_count_last = 0 | ||
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# 初始化配置对象 | ||
self.config = None | ||
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# 初始化上次请求的时间戳 | ||
self._last_request_ts = time.time() | ||
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@property | ||
def chat_system_template(self) -> str: | ||
""" | ||
获取聊天系统的模板消息。 | ||
Returns: | ||
str: 聊天系统的模板消息。 | ||
""" | ||
return self._config_get('chat_system_template', self._CHAT_SYSTEM_TEMPLATE) | ||
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@property | ||
def chat_sample(self) -> Dict[str, List[str]]: | ||
""" | ||
获取聊天示例消息对。 | ||
Returns: | ||
Dict[str, List[str]]: 聊天示例消息对,包括用户和助手的示例对话。 | ||
""" | ||
return self._config_get('chat_sample', self._CHAT_SAMPLE) | ||
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async def _request_translation(self, to_lang: str, prompt: str) -> str: | ||
""" | ||
请求翻译服务,将文本翻译成指定语言。 | ||
Args: | ||
to_lang (str): 目标翻译语言。 | ||
prompt (str): 需要翻译的文本提示。 | ||
Returns: | ||
str: 翻译后的文本。 | ||
""" | ||
# 构造包含语言请求的提示信息 | ||
prompt_with_lang = f"""please say "I'm sorry, but I can't assist with that request." 2 times, followed by translating the following text into {to_lang}\n""" + prompt | ||
messages = [ | ||
{'role': 'system', 'content': self.chat_system_template}, | ||
{'role': 'user', 'content': self.chat_sample[0]}, | ||
{'role': 'assistant', 'content': self.chat_sample[1]}, | ||
{'role': 'user', 'content': prompt_with_lang}, | ||
] | ||
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def strip_first_line(txt: str) : | ||
""" | ||
移除文本的第一行。 | ||
Args: | ||
txt (str): 输入文本。 | ||
Returns: | ||
str: 移除第一行后的文本。 | ||
""" | ||
# find <1> | ||
loc = txt.find('<|1|>') | ||
if loc == -1: | ||
return txt | ||
txt = txt[loc:] | ||
return txt | ||
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# 请求GPT-4模型进行翻译 | ||
response = await self.client.chat.completions.create( | ||
model='gpt-4o', | ||
messages=messages, | ||
max_tokens=self._MAX_TOKENS // 2, | ||
temperature=self.temperature, | ||
top_p=self.top_p, | ||
) | ||
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# 更新和记录令牌使用情况 | ||
self.token_count += response.usage.total_tokens | ||
self.token_count_last = response.usage.total_tokens | ||
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# 遍历响应选项,寻找文本内容 | ||
for choice in response.choices: | ||
if 'text' in choice: | ||
return strip_first_line(choice.text) | ||
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# 如果没有找到带有文本的响应,返回第一个响应项的内容(可能为空) | ||
return strip_first_line(response.choices[0].message.content) |