consultoria-as
43021b9c3c
- Backend: FastAPI + Python-SocketIO + SQLAlchemy - Models for categories, questions, game sessions, events - AI services for answer validation and question generation (Claude) - Room management with Redis - Game logic with stealing mechanics - Admin API for question management - Frontend: React + Vite + TypeScript + Tailwind - 5 visual themes (DRRR, Retro, Minimal, RGB, Anime 90s) - Real-time game with Socket.IO - Achievement system - Replay functionality - Sound effects per theme - Docker Compose for deployment - Design documentation Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
81 lines
2.6 KiB
Python
81 lines
2.6 KiB
Python
import json
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from anthropic import Anthropic
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from app.config import get_settings
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settings = get_settings()
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class AIValidator:
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def __init__(self):
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self.client = Anthropic(api_key=settings.anthropic_api_key)
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async def validate_answer(
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self,
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question: str,
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correct_answer: str,
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alt_answers: list[str],
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player_answer: str
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) -> dict:
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"""
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Validate if the player's answer is correct using Claude AI.
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Returns:
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dict: {"valid": bool, "reason": str}
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"""
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prompt = f"""Eres un validador de trivia. Determina si la respuesta del jugador
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es correcta comparándola con la respuesta oficial.
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Pregunta: {question}
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Respuesta correcta: {correct_answer}
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Respuestas alternativas válidas: {', '.join(alt_answers) if alt_answers else 'Ninguna'}
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Respuesta del jugador: {player_answer}
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Considera válido si:
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- Es sinónimo o variación de la respuesta correcta
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- Tiene errores menores de ortografía
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- Usa abreviaciones comunes (ej: "BOTW" = "Breath of the Wild")
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- Es conceptualmente equivalente
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Responde SOLO con JSON: {{"valid": true/false, "reason": "breve explicación"}}"""
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try:
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message = self.client.messages.create(
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model="claude-3-haiku-20240307",
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max_tokens=150,
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messages=[
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{"role": "user", "content": prompt}
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]
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)
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response_text = message.content[0].text.strip()
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# Parse JSON response
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result = json.loads(response_text)
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return result
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except json.JSONDecodeError:
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# If JSON parsing fails, try to extract the result
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response_lower = response_text.lower()
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if "true" in response_lower:
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return {"valid": True, "reason": "Respuesta validada por IA"}
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return {"valid": False, "reason": "No se pudo validar la respuesta"}
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except Exception as e:
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print(f"Error validating answer: {e}")
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# Fallback to exact match
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player_lower = player_answer.lower().strip()
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correct_lower = correct_answer.lower().strip()
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if player_lower == correct_lower:
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return {"valid": True, "reason": "Coincidencia exacta"}
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for alt in alt_answers:
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if player_lower == alt.lower().strip():
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return {"valid": True, "reason": "Coincide con respuesta alternativa"}
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return {"valid": False, "reason": "Respuesta incorrecta"}
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# Singleton instance
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ai_validator = AIValidator()
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