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from scripts.physton_prompt.translator.base_tanslator import BaseTranslator
import json
from scripts.physton_prompt.get_lang import get_lang
class OpenaiTranslator(BaseTranslator):
def __init__(self):
super().__init__('openai')
def translate(self, text):
if not text:
if isinstance(text, list):
return []
else:
return ''
import openai
openai.api_base = self.api_config.get('api_base', 'https://api.openai.com/v1')
openai.api_key = self.api_config.get('api_key', '')
model = self.api_config.get('model', 'gpt-3.5-turbo')
if not openai.api_key:
raise Exception(get_lang('is_required', {'0': 'API Key'}))
body = []
if isinstance(text, list):
for item in text:
body.append({'text': item})
else:
body.append({'text': text})
body_str = json.dumps(body, ensure_ascii=False)
messages = [
{"role": "system", "content": "You are a translator assistant."},
{
"role": "user",
"content": f"You are a translator assistant. Please translate the following JSON data {self.to_lang}. Preserve the original format. Only return the translation result, without any additional content or annotations. If the prompt word is in the target language, please send it to me unchanged:\n{body_str}"
},
]
completion = openai.ChatCompletion.create(model=model, messages=messages, timeout=60)
if len(completion.choices) == 0:
raise Exception(get_lang('no_response_from', {'0': 'OpenAI'}))
content = completion.choices[0].message.content
try:
# 找到第一个[，然后找到最后一个]，截取中间的内容
start = content.index('[')
end = content.rindex(']')
if start == -1 or end == -1:
raise Exception(get_lang('response_error', {'0': 'OpenAI'}))
result_json = '[' + content[start + 1:end] + ']'
# 解析json
result = json.loads(result_json)
if isinstance(text, list):
return [item['text'] for item in result]
else:
return result[0]['text']
except Exception as e:
raise Exception(get_lang('response_error', {'0': 'OpenAI'}))
def translate_batch(self, texts):
return self.translate(texts)
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