Create claude_recommendations_mongo_db.py
Browse files
modules/database/claude_recommendations_mongo_db.py
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# modules/database/claude_recommendations_mongo_db.py
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from datetime import datetime, timezone, timedelta
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import logging
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from .mongo_db import get_collection
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logger = logging.getLogger(__name__)
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COLLECTION_NAME = 'student_claude_recommendations'
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def store_claude_recommendation(username, text, metrics, text_type, recommendations):
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"""
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Guarda las recomendaciones generadas por Claude AI.
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Args:
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username: Nombre del usuario
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text: Texto analizado
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metrics: M茅tricas del an谩lisis
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text_type: Tipo de texto (academic_article, university_work, general_communication)
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recommendations: Recomendaciones generadas por Claude
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Returns:
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bool: True si se guard贸 correctamente, False en caso contrario
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"""
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try:
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# Verificar par谩metros
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if not all([username, text, recommendations]):
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logger.error("Faltan par谩metros requeridos para guardar recomendaciones de Claude")
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return False
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collection = get_collection(COLLECTION_NAME)
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if collection is None:
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logger.error("No se pudo obtener la colecci贸n de recomendaciones de Claude")
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return False
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# Crear documento
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document = {
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'username': username,
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'timestamp': datetime.now(timezone.utc).isoformat(),
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'text': text,
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'metrics': metrics or {},
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'text_type': text_type,
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'recommendations': recommendations,
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'analysis_type': 'claude_recommendation'
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}
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# Insertar documento
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result = collection.insert_one(document)
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if result.inserted_id:
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logger.info(f"""
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Recomendaciones de Claude guardadas:
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- Usuario: {username}
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- ID: {result.inserted_id}
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- Tipo de texto: {text_type}
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- Longitud del texto: {len(text)}
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""")
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# Verificar almacenamiento
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storage_verified = verify_recommendation_storage(username)
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if not storage_verified:
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logger.warning("Verificaci贸n de almacenamiento de recomendaciones fall贸")
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return True
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logger.error("No se pudo insertar el documento de recomendaciones")
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return False
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except Exception as e:
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logger.error(f"Error guardando recomendaciones de Claude: {str(e)}")
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return False
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def verify_recommendation_storage(username):
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"""
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Verifica que las recomendaciones se est谩n guardando correctamente.
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Args:
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username: Nombre del usuario
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Returns:
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bool: True si la verificaci贸n es exitosa, False en caso contrario
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"""
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try:
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collection = get_collection(COLLECTION_NAME)
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if collection is None:
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logger.error("No se pudo obtener la colecci贸n para verificaci贸n de recomendaciones")
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return False
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# Buscar documentos recientes del usuario
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timestamp_threshold = (datetime.now(timezone.utc) - timedelta(minutes=5)).isoformat()
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recent_docs = collection.find({
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'username': username,
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'timestamp': {'$gte': timestamp_threshold}
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}).sort('timestamp', -1).limit(1)
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docs = list(recent_docs)
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if docs:
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logger.info(f"""
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脷ltimo documento de recomendaciones guardado:
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- ID: {docs[0]['_id']}
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- Timestamp: {docs[0]['timestamp']}
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- Tipo de texto: {docs[0].get('text_type', 'N/A')}
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""")
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return True
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logger.warning(f"No se encontraron documentos recientes de recomendaciones para {username}")
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return False
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except Exception as e:
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logger.error(f"Error verificando almacenamiento de recomendaciones: {str(e)}")
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return False
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def get_claude_recommendations(username, limit=10):
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"""
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Obtiene las recomendaciones m谩s recientes de Claude para un usuario.
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Args:
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username: Nombre del usuario
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limit: N煤mero m谩ximo de recomendaciones a recuperar
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Returns:
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list: Lista de recomendaciones
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"""
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try:
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collection = get_collection(COLLECTION_NAME)
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if collection is None:
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logger.error("No se pudo obtener la colecci贸n de recomendaciones")
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return []
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results = collection.find(
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{'username': username}
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).sort('timestamp', -1).limit(limit)
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recommendations = list(results)
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logger.info(f"Recuperadas {len(recommendations)} recomendaciones de Claude para {username}")
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return recommendations
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except Exception as e:
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logger.error(f"Error obteniendo recomendaciones de Claude: {str(e)}")
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return []
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