| # database_export.py | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| from io import BytesIO | |
| #importaciones locales | |
| from .morphosintax_mongo_db import get_student_morphosyntax_analysis | |
| from .chat_db import get_chat_history | |
| def export_user_interactions(username, analysis_type): | |
| # Obtener historial de chat (que ahora incluye los análisis morfosintácticos) | |
| chat_history = get_chat_history(username, analysis_type) | |
| # Crear un PDF | |
| buffer = BytesIO() | |
| doc = SimpleDocTemplate( | |
| buffer, | |
| pagesize=letter, | |
| rightMargin=2*cm, | |
| leftMargin=2*cm, | |
| topMargin=2*cm, | |
| bottomMargin=2*cm | |
| ) | |
| story = [] | |
| styles = getSampleStyleSheet() | |
| # Título | |
| story.append(Paragraph(f"Interacciones de {username} - Análisis {analysis_type}", styles['Title'])) | |
| story.append(Spacer(1, 0.5*cm)) | |
| # Historial del chat y análisis | |
| for entry in chat_history: | |
| for message in entry['messages']: | |
| role = message['role'] | |
| content = message['content'] | |
| story.append(Paragraph(f"<b>{role.capitalize()}:</b> {content}", styles['BodyText'])) | |
| story.append(Spacer(1, 0.25*cm)) | |
| # Si hay visualizaciones (diagramas SVG), convertirlas a imagen y añadirlas | |
| if 'visualizations' in message and message['visualizations']: | |
| for svg in message['visualizations']: | |
| drawing = svg2rlg(BytesIO(svg.encode('utf-8'))) | |
| img_data = BytesIO() | |
| renderPM.drawToFile(drawing, img_data, fmt="PNG") | |
| img_data.seek(0) | |
| img = Image(img_data, width=15*cm, height=7.5*cm) | |
| story.append(img) | |
| story.append(Spacer(1, 0.5*cm)) | |
| story.append(PageBreak()) | |
| # Construir el PDF | |
| doc.build(story) | |
| buffer.seek(0) | |
| return buffer | |
| #def export_user_interactions(username, analysis_type): | |
| # Obtener análisis morfosintáctico | |
| #morphosyntax_data = get_student_morphosyntax_analysis(username) | |
| # Obtener historial de chat | |
| #chat_history = get_chat_history(username, analysis_type) | |
| # Crear un DataFrame con los datos | |
| #df = pd.DataFrame({ | |
| # 'Timestamp': [entry['timestamp'] for entry in chat_history], | |
| # 'Role': [msg['role'] for entry in chat_history for msg in entry['messages']], | |
| # 'Content': [msg['content'] for entry in chat_history for msg in entry['messages']] | |
| #}) | |
| # Crear un PDF | |
| #buffer = BytesIO() | |
| #plt.figure(figsize=(12, 6)) | |
| #plt.axis('off') | |
| #plt.text(0.5, 0.98, f"Interacciones de {username} - Análisis {analysis_type}", ha='center', va='top', fontsize=16) | |
| #plt.text(0.5, 0.95, f"Total de interacciones: {len(df)}", ha='center', va='top', fontsize=12) | |
| # Añadir tabla con las interacciones | |
| #plt.table(cellText=df.values, colLabels=df.columns, cellLoc='center', loc='center') | |
| # Añadir diagramas de arco si es análisis morfosintáctico | |
| #if analysis_type == 'morphosyntax' and morphosyntax_data: | |
| # for i, analysis in enumerate(morphosyntax_data): | |
| # plt.figure(figsize=(12, 6)) | |
| # plt.axis('off') | |
| # plt.text(0.5, 0.98, f"Diagrama de Arco {i+1}", ha='center', va='top', fontsize=16) | |
| # plt.imshow(analysis['arc_diagrams'][0]) # Asumiendo que arc_diagrams es una lista de imágenes | |
| #plt.savefig(buffer, format='pdf', bbox_inches='tight') | |
| #buffer.seek(0) | |
| #return buffer | |
| # Uso: | |
| # pdf_buffer = export_user_interactions(username, 'morphosyntax') | |
| # st.download_button(label="Descargar PDF", data=pdf_buffer, file_name="interacciones.pdf", mime="application/pdf") |