import logging
import openai
from core.providers.llm.base import LLMProviderBase

logger = logging.getLogger(__name__)


class LLMProvider(LLMProviderBase):
    def __init__(self, config):
        self.model_name = config.get("model_name")
        self.api_key = config.get("api_key")
        if 'base_url' in config:
            self.base_url = config.get("base_url")
        else:
            self.base_url = config.get("url")
        if "你" in self.api_key:
            logger.error("你还没配置LLM的密钥，请在配置文件中配置密钥，否则无法正常工作")
        self.client = openai.OpenAI(api_key=self.api_key, base_url=self.base_url)

    def response(self, session_id, dialogue):
        try:
            responses = self.client.chat.completions.create(
                model=self.model_name,
                messages=dialogue,
                stream=True
            )
            for chunk in responses:
                # 检查是否存在有效的choice且content不为空
                if chunk.choices and len(chunk.choices) > 0:
                    delta = chunk.choices[0].delta
                    content = getattr(delta, 'content', '')
                    if content:  # 仅在content非空时生成
                        yield content
        except Exception as e:
            logger.error(f"Error in response generation: {e}")