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# Importaciones est谩ndar
import logging
import io
import base64
from datetime import datetime, timezone
from pymongo.errors import PyMongoError
# Importaciones de terceros
import matplotlib.pyplot as plt
# Importaciones locales
from .mongo_db import (
get_collection,
insert_document,
find_documents,
update_document,
delete_document
)
# Configuraci贸n del logger
logger = logging.getLogger(__name__)
COLLECTION_NAME = 'student_semantic_live_analysis'
##########################################
##########################################
def store_student_semantic_live_result(username, text, analysis_result, lang_code='en'):
"""
Versi贸n corregida con:
- Verificaci贸n correcta de colecci贸n
- Manejo de proyecci贸n alternativo
- Mejor manejo de errores
"""
try:
# 1. Obtener colecci贸n con verificaci贸n correcta
collection = get_collection(COLLECTION_NAME)
if collection is None: # Cambiado de 'if not collection'
logger.error(f"No se pudo obtener la colecci贸n {COLLECTION_NAME}")
return False
# 2. Validaci贸n de par谩metros
if not all([username, text, analysis_result]):
logger.error("Par谩metros incompletos para guardar an谩lisis")
return False
# 3. Preparar documento (CORREGIDO)
analysis_document = {
'username': username,
'timestamp': datetime.now(timezone.utc),
'text': text[:50000],
'analysis_type': 'semantic_live',
'language': lang_code,
# Extraer datos correctamente del an谩lisis
'key_concepts': analysis_result.get('key_concepts', []),
'concept_centrality': analysis_result.get('concept_centrality', {}),
'concept_graph': None # Inicializar como None
}
# 4. Manejo del gr谩fico (CORREGIDO)
if 'concept_graph' in analysis_result and analysis_result['concept_graph']:
try:
# Si ya es bytes, usar directamente
if isinstance(analysis_result['concept_graph'], bytes):
analysis_document['concept_graph'] = analysis_result['concept_graph']
else:
# Convertir a bytes si es necesario
analysis_document['concept_graph'] = base64.b64decode(
analysis_result['concept_graph'])
except Exception as e:
logger.error(f"Error procesando gr谩fico: {str(e)}")
# 5. Insertar documento
try:
result = collection.insert_one(analysis_document)
if result.inserted_id:
logger.info(f"An谩lisis guardado. ID: {result.inserted_id}")
return True
logger.error("Inserci贸n fallida - Sin ID devuelto")
return False
except PyMongoError as e:
logger.error(f"Error de MongoDB: {str(e)}")
return False
except Exception as e:
logger.error(f"Error inesperado: {str(e)}", exc_info=True)
return False
##########################################
##########################################
def get_student_semantic_live_analysis(username, limit=10):
"""
Versi贸n corregida sin usar projection
"""
try:
collection = get_collection(COLLECTION_NAME)
if collection is None:
logger.error("No se pudo obtener la colecci贸n")
return []
query = {"username": username, "analysis_type": "semantic_live"}
# Versi贸n alternativa sin projection
cursor = collection.find(query, {
"timestamp": 1,
"text": 1,
"key_concepts": 1,
"concept_graph": 1,
"_id": 1
}).sort("timestamp", -1).limit(limit)
results = list(cursor)
logger.info(f"Recuperados {len(results)} an谩lisis para {username}")
return results
except PyMongoError as e:
logger.error(f"Error de MongoDB: {str(e)}")
return []
except Exception as e:
logger.error(f"Error inesperado: {str(e)}")
return []
#######################################################
#######################################################
def update_student_semantic_live_analysis(analysis_id, update_data):
"""Actualiza un an谩lisis existente con manejo de errores"""
try:
query = {"_id": analysis_id}
update = {"$set": update_data}
return update_document(COLLECTION_NAME, query, update) > 0
except PyMongoError as e:
logger.error(f"Error al actualizar: {str(e)}")
return False
#######################################################
#######################################################
def delete_student_semantic_live_analysis(analysis_id):
"""Elimina un an谩lisis con manejo de errores"""
try:
query = {"_id": analysis_id}
return delete_document(COLLECTION_NAME, query) > 0
except PyMongoError as e:
logger.error(f"Error al eliminar: {str(e)}")
return False
#######################################################
#######################################################
def get_student_semantic_live_data(username):
"""
Obtiene todos los an谩lisis sem谩nticos en vivo de un estudiante.
Versi贸n corregida que usa la funci贸n _live.
"""
try:
analyses = get_student_semantic_live_analysis(username, limit=None)
formatted_analyses = []
for analysis in analyses:
formatted_analysis = {
'timestamp': analysis.get('timestamp'),
'text': analysis.get('text', ''),
'key_concepts': analysis.get('key_concepts', []),
'concept_graph': analysis.get('concept_graph')
}
formatted_analyses.append(formatted_analysis)
return {
'username': username,
'entries': formatted_analyses,
'count': len(formatted_analyses),
'status': 'success'
}
except Exception as e:
logger.error(f"Error al obtener datos: {str(e)}")
return {
'username': username,
'entries': [],
'count': 0,
'status': 'error',
'error': str(e)
}
#######################################################
#######################################################
__all__ = [
'store_student_semantic_live_result',
'get_student_semantic_live_analysis',
'update_student_semantic_live_analysis',
'delete_student_semantic_live_analysis',
'get_student_semantic_live_data'
] |