modules/chatbot/chat_process.py

# modules/chatbot/chatbot/chat_process.py
import anthropic
import logging
from typing import Dict, Generator

logger = logging.getLogger(__name__)

class ChatProcessor:
    def __init__(self):
        self.client = anthropic.Anthropic(api_key=os.environ["ANTHROPIC_API_KEY"])
        self.conversation_history = []

    def process_chat_input(self, message: str, lang_code: str) -> Generator[str, None, None]:
        """
        Procesa el input del chat y genera respuestas por chunks
        """
        try:
            # Agregar mensaje a la historia
            self.conversation_history.append(f"Human: {message}")
            
            # Generar respuesta
            response = self.client.completions.create(
                model="claude-3-opus-20240229",
                prompt=f"{message}\n\nAssistant:",
                max_tokens_to_sample=300,
                temperature=0.7,
                stream=True  # Habilitar streaming
            )

            # Retornar chunks de la respuesta
            full_response = ""
            for chunk in response:
                if chunk.completion:
                    yield chunk.completion
                    full_response += chunk.completion

            # Guardar respuesta completa en la historia
            self.conversation_history.append(f"Assistant: {full_response}")

        except Exception as e:
            logger.error(f"Error en process_chat_input: {str(e)}")
            yield f"Error: {str(e)}"