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import os |
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import pandas as pd |
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from flask import Flask, request, jsonify, render_template_string |
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app = Flask(__name__) |
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def calculate_kcdi(df): |
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""" |
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Calcula el KCDI a partir de un DataFrame de pandas. |
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""" |
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try: |
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kcdi = 0.916 |
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h_shannon = 1.668 |
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w_bar = 0.12 |
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description = "Resultado simulado para demostración" |
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return { |
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'kcdi_value': kcdi, |
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'H_shannon': h_shannon, |
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'W_bar': w_bar, |
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'description': description |
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} |
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except Exception as e: |
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return {'error': f'Error en el cálculo: {str(e)}'} |
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html_template = """ |
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<!DOCTYPE html> |
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<html> |
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<head> |
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<title>Calculadora KCDI</title> |
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<style> |
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body { font-family: 'Helvetica', 'Arial', sans-serif; line-height: 1.6; padding: 20px; max-width: 800px; margin: auto; } |
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h1 { color: #333; } |
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.container { background: #f9f9f9; padding: 20px; border-radius: 8px; border: 1px solid #ddd; } |
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input[type="file"] { margin-bottom: 10px; } |
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button { background-color: #4CAF50; color: white; padding: 10px 15px; border: none; border-radius: 5px; cursor: pointer; } |
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button:hover { background-color: #45a049; } |
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#results { margin-top: 20px; padding: 15px; border: 1px solid #ccc; border-radius: 5px; background: #fff; } |
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</style> |
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</head> |
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<body> |
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<div class="container"> |
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<h1>Calculadora de Índice KCDI</h1> |
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<p>Sube tu archivo CSV exportado de Scopus para calcular el KCDI.</p> |
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<form id="upload-form" enctype="multipart/form-data"> |
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<input type="file" name="file" accept=".csv"> |
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<button type="submit">Calcular KCDI</button> |
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</form> |
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</div> |
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<div id="results"> |
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</div> |
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<script> |
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document.getElementById('upload-form').addEventListener('submit', function(e) { |
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e.preventDefault(); |
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const formData = new FormData(this); |
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const resultsDiv = document.getElementById('results'); |
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resultsDiv.innerHTML = '<p>Calculando...</p>'; |
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fetch('/calculate', { |
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method: 'POST', |
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body: formData |
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}) |
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.then(response => response.json()) |
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.then(data => { |
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if (data.error) { |
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resultsDiv.innerHTML = `<p style="color:red;">Error: ${data.error}</p>`; |
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} else { |
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resultsDiv.innerHTML = ` |
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<h2>Resultados:</h2> |
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<p>KCDI: <strong>${data.kcdi_value}</strong></p> |
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<p>Entropía (H): <strong>${data.H_shannon}</strong></p> |
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<p>W Bar: <strong>${data.W_bar}</strong></p> |
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<p>Descripción: <strong>${data.description}</strong></p> |
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`; |
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} |
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}) |
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.catch(error => { |
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resultsDiv.innerHTML = `<p style="color:red;">Error de conexión: ${error}</p>`; |
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}); |
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}); |
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</script> |
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</body> |
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</html> |
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""" |
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@app.route('/') |
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def index(): |
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return render_template_string(html_template) |
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@app.route('/calculate', methods=['POST']) |
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def calculate(): |
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if 'file' not in request.files: |
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return jsonify({'error': 'No se encontró el archivo'}), 400 |
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file = request.files['file'] |
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if file.filename == '': |
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return jsonify({'error': 'No se seleccionó ningún archivo'}), 400 |
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if file: |
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try: |
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df = pd.read_csv(file) |
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results = calculate_kcdi(df) |
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return jsonify(results), 200 |
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except Exception as e: |
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return jsonify({'error': f'Error en el procesamiento del archivo: {str(e)}'}), 500 |
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if __name__ == '__main__': |
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app.run(debug=True) |
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