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Update modules/database/discourse_mongo_db.py
Browse files
modules/database/discourse_mongo_db.py
CHANGED
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@@ -19,22 +19,48 @@ def store_student_discourse_result(username, text1, text2, analysis_result):
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analysis_result: Resultado del análisis
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"""
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try:
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# Convertir gráficos a
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graph1_data = None
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graph2_data = None
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if 'graph1' in analysis_result:
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buf = io.BytesIO()
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analysis_result['graph1'].savefig(buf, format='png')
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buf.seek(0)
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graph1_data = base64.b64encode(buf.getvalue()).decode('utf-8')
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if 'graph2' in analysis_result:
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buf = io.BytesIO()
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analysis_result['graph2'].savefig(buf, format='png')
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buf.seek(0)
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graph2_data = base64.b64encode(buf.getvalue()).decode('utf-8')
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# Crear documento para MongoDB
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analysis_document = {
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'username': username,
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@@ -45,19 +71,19 @@ def store_student_discourse_result(username, text1, text2, analysis_result):
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'key_concepts1': analysis_result.get('key_concepts1', []),
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'key_concepts2': analysis_result.get('key_concepts2', []),
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'graph1': graph1_data,
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'graph2': graph2_data
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}
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# Insertar en MongoDB
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result = insert_document(COLLECTION_NAME, analysis_document)
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if result:
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logger.info(f"Análisis del discurso guardado con ID: {result} para el usuario: {username}")
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return True
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logger.error("No se pudo insertar el documento en MongoDB")
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return False
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-
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except Exception as e:
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logger.error(f"Error al guardar el análisis del discurso: {str(e)}")
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return False
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analysis_result: Resultado del análisis
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"""
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try:
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# Convertir gráficos individuales a base64
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graph1_data = None
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graph2_data = None
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combined_graph_data = None
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# Convertir primer gráfico
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if 'graph1' in analysis_result:
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buf = io.BytesIO()
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analysis_result['graph1'].savefig(buf, format='png')
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buf.seek(0)
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graph1_data = base64.b64encode(buf.getvalue()).decode('utf-8')
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# Convertir segundo gráfico
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if 'graph2' in analysis_result:
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buf = io.BytesIO()
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analysis_result['graph2'].savefig(buf, format='png')
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buf.seek(0)
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graph2_data = base64.b64encode(buf.getvalue()).decode('utf-8')
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# Crear gráfico combinado
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if graph1_data and graph2_data:
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fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(20, 10))
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# Convertir base64 a imagen para el gráfico combinado
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img1 = plt.imread(io.BytesIO(base64.b64decode(graph1_data)))
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img2 = plt.imread(io.BytesIO(base64.b64decode(graph2_data)))
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ax1.imshow(img1)
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ax1.axis('off')
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ax1.set_title("Documento 1: Relaciones Conceptuales")
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ax2.imshow(img2)
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ax2.axis('off')
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ax2.set_title("Documento 2: Relaciones Conceptuales")
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# Guardar gráfico combinado en base64
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buf = io.BytesIO()
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fig.savefig(buf, format='png')
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buf.seek(0)
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combined_graph_data = base64.b64encode(buf.getvalue()).decode('utf-8')
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plt.close(fig)
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# Crear documento para MongoDB
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analysis_document = {
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'username': username,
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'key_concepts1': analysis_result.get('key_concepts1', []),
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'key_concepts2': analysis_result.get('key_concepts2', []),
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'graph1': graph1_data,
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'graph2': graph2_data,
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'combined_graph': combined_graph_data
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}
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# Insertar en MongoDB
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result = insert_document(COLLECTION_NAME, analysis_document)
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if result:
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logger.info(f"Análisis del discurso guardado con ID: {result} para el usuario: {username}")
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return True
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logger.error("No se pudo insertar el documento en MongoDB")
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return False
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except Exception as e:
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logger.error(f"Error al guardar el análisis del discurso: {str(e)}")
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return False
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