Refactor code structure for improved readability and maintainability

docs/SECURITY_TRIAGE.md

@@ -1,35 +1,40 @@
 # Security Triage
 
-Fecha de última actualización: 2026-04-28
+Fecha de última actualización: 2026-04-28 (P2+P3 completados)
 
 ---
 
 ## Estado actual (post-remediación)
 
 ### Rust (cargo audit)
-- Vulnerabilidades: 4 (todas en dependencias transitivas de terceros sin fix directo)
-- Warnings: 4
+- Vulnerabilidades: 4 (todas en dependencias transitivas via AWS SDK, sin fix directo)
+- Warnings: 1
 
 #### Vulnerabilidades activas
 
 1. RUSTSEC-2023-0071 (rsa 0.9.9)
+
+   #### Nota sobre lru (nuevo)
+   - RUSTSEC-2026-0104 (lru 0.12.5): IterMut viola Stacked Borrows
+   - Cadena: aws-sdk-s3 → lru
+   - Bloqueado por AWS SDK. Monitorear con `cargo update && cargo audit`.
    - Severidad: media (Marvin Attack)
    - Cadena: sqlx-mysql → rsa
    - Fix upstream: no disponible
    - Estado: aceptación de riesgo temporal
 
 2. RUSTSEC-2026-0098 (rustls-webpki 0.101.7)
-   - Nombre: URI name constraints incorrectly accepted
+   - Nombre: RUSTSEC-2026-0098 URI name constraints incorrectly accepted
    - Cadena: aws-sdk-s3/aws-config → aws-smithy-http-client → rustls 0.21 → rustls-webpki 0.101.7
    - Fix: requiere AWS SDK 1.x actualice su stack TLS a rustls >=0.22
    - Estado: bloqueado por tercero (AWS SDK)
 
 3. RUSTSEC-2026-0099 (rustls-webpki 0.101.7)
-   - Nombre: wildcard name constraints incorrectly accepted
+   - Nombre: RUSTSEC-2026-0099 wildcard name constraints incorrectly accepted
    - Misma cadena que 0098
 
 4. RUSTSEC-2026-0104 (rustls-webpki 0.101.7)
-   - Nombre: panic alcanzable en CRL parsing
+   - Nombre: RUSTSEC-2026-0104 panic alcanzable en CRL parsing
    - Misma cadena que 0098
 
 #### Nota: openidconnect ya NO es un vector
@@ -43,17 +48,15 @@ Fecha de última actualización: 2026-04-28
 
 #### Studio
 - Pre-remediación: 1 critical, 12 high, 1 moderate (total 14)
-- Post-remediación: 0 critical, 2 high, 3 moderate (total 5)
-- Resuelto: dompurify critical + toda la cadena d3/mermaid/dagre-d3 (via upgrade mermaid 9 → 11.14.0)
-- Restante high: xlsx (2 advisories, sin fix disponible)
-- Restante moderate: next + postcss (requieren Next major upgrade)
+- Post-remediación: **0 high**, 4 moderate (total 4) ✅
+- Resuelto: mermaid upgrade (9→11.14.0), xlsx eliminado (parseo movido a backend Rust con calamine), Next.js 14→15.5.15
+- Restante moderate: postcss bundled en Next (sin fix sin downgrade), uuid via mermaid (sin fix sin downgrade mermaid)
 
 #### Experience
 - Pre-remediación: 1 critical, 11 high, 1 moderate (total 13)
-- Post-remediación: 0 critical, 1 high, 3 moderate (total 4)
-- Resuelto: dompurify critical + toda la cadena d3/mermaid/dagre-d3 ✓
-- Restante high: next (requiere Next major upgrade)
-- Restante moderate: next postcss + uuid (moderate, via mermaid 11; revertir a mermaid 9 empeoraría)
+- Post-remediación: **0 high**, 4 moderate (total 4) ✅
+- Resuelto: mermaid upgrade, Next.js 14→15.5.15
+- Restante moderate: postcss bundled en Next, uuid via mermaid (mismas restricciones que studio)
 
 ---
 

services/cms-service/Cargo.toml

@@ -36,3 +36,4 @@ regex = "1.11"
 rand = "0.8"
 aws-config = "1"
 aws-sdk-s3 = "1"
+calamine = { version = "0.26", features = ["dates"] }

services/cms-service/src/handlers_question_bank.rs

@@ -1618,6 +1618,181 @@ pub struct ImportResult {
 //     unimplemented!()
 // }
 
+/// POST /question-bank/import-excel - Importar preguntas desde archivo Excel (.xlsx/.xls)
+pub async fn import_from_excel(
+    Org(org_ctx): Org,
+    _claims: Claims,
+    State(pool): State<PgPool>,
+    mut multipart: axum::extract::Multipart,
+) -> Result<Json<ImportResult>, (StatusCode, String)> {
+    use calamine::{open_workbook_auto_from_rs, Reader};
+    use std::io::Cursor;
+
+    const MAX_FILE_SIZE: usize = 10 * 1024 * 1024; // 10 MB
+
+    // Extraer el campo "file" del multipart
+    let mut file_bytes: Option<Vec<u8>> = None;
+    while let Some(field) = multipart.next_field().await.map_err(|_| {
+        (StatusCode::BAD_REQUEST, "Error leyendo multipart".to_string())
+    })? {
+        let name = field.name().unwrap_or("").to_string();
+        if name == "file" {
+            let bytes = field.bytes().await.map_err(|_| {
+                (StatusCode::BAD_REQUEST, "Error leyendo bytes del archivo".to_string())
+            })?;
+            if bytes.len() > MAX_FILE_SIZE {
+                return Err((StatusCode::PAYLOAD_TOO_LARGE, "El archivo supera el límite de 10MB".to_string()));
+            }
+            file_bytes = Some(bytes.to_vec());
+            break;
+        }
+    }
+
+    let bytes = file_bytes.ok_or((StatusCode::BAD_REQUEST, "No se recibió ningún archivo".to_string()))?;
+
+    // Parsear el workbook
+    let cursor = Cursor::new(bytes);
+    let mut workbook = open_workbook_auto_from_rs(cursor).map_err(|_| {
+        (StatusCode::BAD_REQUEST, "Archivo Excel inválido o no soportado".to_string())
+    })?;
+
+    let sheet_names = workbook.sheet_names().to_vec();
+    let first_name = sheet_names.first().ok_or((StatusCode::BAD_REQUEST, "El archivo no contiene hojas".to_string()))?;
+    let range = workbook.worksheet_range(first_name).map_err(|_| {
+        (StatusCode::BAD_REQUEST, "No se pudo leer la hoja de cálculo".to_string())
+    })?;
+
+    let mut rows = range.rows();
+    let header_row = rows.next().ok_or((StatusCode::BAD_REQUEST, "El archivo está vacío".to_string()))?;
+
+    // Mapear índices de columnas por nombre (case-insensitive)
+    let headers: Vec<String> = header_row.iter()
+        .map(|c| c.to_string().trim().to_lowercase())
+        .collect();
+
+    let col = |name: &str| -> Option<usize> {
+        headers.iter().position(|h| h == name)
+    };
+
+    let idx_question_text  = col("question_text");
+    let idx_question_type  = col("question_type");
+    let idx_options        = col("options");
+    let idx_correct_answer = col("correct_answer");
+    let idx_explanation    = col("explanation");
+    let idx_difficulty     = col("difficulty");
+    let idx_tags           = col("tags");
+    let idx_points         = col("points");
+
+    let get_cell = |row: &[calamine::Data], idx: Option<usize>| -> String {
+        idx.and_then(|i| row.get(i))
+            .map(|c: &calamine::Data| c.to_string().trim().to_string())
+            .unwrap_or_default()
+    };
+
+    let to_question_type = |s: &str| -> Option<&'static str> {
+        match s.to_lowercase().as_str() {
+            "multiple-choice" | "multiple choice" | "mcq" => Some("multiple-choice"),
+            "true-false" | "true false" | "boolean"       => Some("true-false"),
+            "short-answer" | "short answer"                => Some("short-answer"),
+            "essay"                                        => Some("essay"),
+            "matching"                                     => Some("matching"),
+            "ordering"                                     => Some("ordering"),
+            "fill-in-the-blanks" | "fill in the blanks"   => Some("fill-in-the-blanks"),
+            "audio-response" | "audio response"            => Some("audio-response"),
+            "hotspot"                                      => Some("hotspot"),
+            "code-lab" | "code lab"                        => Some("code-lab"),
+            _                                              => None,
+        }
+    };
+
+    let mut imported = 0i32;
+    let mut skipped  = 0i32;
+
+    for row in rows {
+        let question_text = get_cell(row, idx_question_text);
+        let question_type_raw = get_cell(row, idx_question_type);
+        let Some(question_type) = to_question_type(&question_type_raw) else {
+            skipped += 1;
+            continue;
+        };
+        if question_text.is_empty() {
+            skipped += 1;
+            continue;
+        }
+
+        let options_raw     = get_cell(row, idx_options);
+        let correct_raw     = get_cell(row, idx_correct_answer);
+        let explanation_raw = get_cell(row, idx_explanation);
+        let difficulty_raw  = get_cell(row, idx_difficulty);
+        let tags_raw        = get_cell(row, idx_tags);
+        let points_raw      = get_cell(row, idx_points);
+
+        let difficulty = match difficulty_raw.to_lowercase().as_str() {
+            "easy" | "hard" => difficulty_raw.to_lowercase(),
+            _               => "medium".to_string(),
+        };
+
+        let options: serde_json::Value = if question_type == "true-false" {
+            serde_json::json!(["Verdadero", "Falso"])
+        } else if options_raw.starts_with('[') {
+            serde_json::from_str(&options_raw).unwrap_or(serde_json::Value::Null)
+        } else if !options_raw.is_empty() {
+            let parts: Vec<&str> = options_raw.split(',').map(str::trim).collect();
+            serde_json::json!(parts)
+        } else {
+            serde_json::Value::Null
+        };
+
+        let correct_answer: serde_json::Value = if question_type == "true-false" {
+            let lower = correct_raw.to_lowercase();
+            if lower == "verdadero" || lower == "true" {
+                serde_json::json!(0)
+            } else {
+                serde_json::json!(1)
+            }
+        } else if correct_raw.starts_with('[') || correct_raw.starts_with('{') {
+            serde_json::from_str(&correct_raw).unwrap_or(serde_json::Value::Null)
+        } else if let Ok(n) = correct_raw.parse::<i64>() {
+            serde_json::json!(n)
+        } else {
+            serde_json::json!(correct_raw)
+        };
+
+        let tags: Option<Vec<String>> = if tags_raw.is_empty() {
+            None
+        } else {
+            Some(tags_raw.split(',').map(|t: &str| t.trim().to_string()).filter(|t: &String| !t.is_empty()).collect())
+        };
+
+        let points: i32 = points_raw.parse::<i32>().unwrap_or(1).max(1);
+
+        let result = sqlx::query(
+            r#"INSERT INTO question_bank
+               (organization_id, question_text, question_type, options, correct_answer,
+                explanation, difficulty, tags, points, created_at, updated_at)
+               VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, NOW(), NOW())"#
+        )
+        .bind(org_ctx.id)
+        .bind(&question_text)
+        .bind(question_type)
+        .bind(&options)
+        .bind(&correct_answer)
+        .bind(if explanation_raw.is_empty() { None } else { Some(explanation_raw) })
+        .bind(&difficulty)
+        .bind(tags.as_deref().map(|t| serde_json::json!(t)))
+        .bind(points)
+        .execute(&pool)
+        .await;
+
+        match result {
+            Ok(_) => imported += 1,
+            Err(_) => skipped += 1,
+        }
+    }
+
+    Ok(Json(ImportResult { imported, skipped, updated: 0, error: None }))
+}
+
 #[derive(Debug, sqlx::FromRow, Serialize, Deserialize)]
 pub struct MySqlQuestionFull {
     pub id_pregunta: i32,

services/cms-service/src/main.rs

@@ -482,6 +482,10 @@ async fn main() {
             "/question-bank/ai-generate",
             post(handlers_question_bank::ai_generate_question),
         )
+        .route(
+            "/question-bank/import-excel",
+            post(handlers_question_bank::import_from_excel),
+        )
         // Rutas de embeddings para búsqueda semántica
         .route(
             "/question-bank/embeddings/generate",

web/experience/package.json

@@ -21,7 +21,7 @@
     "lodash": "^4.17.21",
     "lucide-react": "^0.395.0",
     "mermaid": "^11.14.0",
-    "next": "^14.2.35",
+    "next": "^15.3.9",
     "react": "^18",
     "react-dom": "^18",
     "react-markdown": "^10.1.0",
@@ -35,7 +35,7 @@
     "@types/react-dom": "^18",
     "autoprefixer": "^10.4.19",
     "eslint": "^8",
-    "eslint-config-next": "^16.2.4",
+    "eslint-config-next": "^15.3.9",
     "postcss": "^8",
     "prettier": "^3.2.0",
     "prettier-plugin-tailwindcss": "^0.5.0",

web/studio/package.json

@@ -21,19 +21,18 @@
     "isomorphic-dompurify": "^3.10.0",
     "lucide-react": "^0.395.0",
     "mermaid": "^11.14.0",
-    "next": "^14.2.35",
+    "next": "^15.3.9",
     "react": "^18",
     "react-dom": "^18",
     "react-markdown": "^10.1.0",
-    "tailwind-merge": "^2.3.0",
-    "xlsx": "^0.18.5"
+    "tailwind-merge": "^2.3.0"
   },
   "devDependencies": {
     "@types/node": "^20",
     "@types/react": "^18",
     "@types/react-dom": "^18",
     "eslint": "^8",
-    "eslint-config-next": "^16.2.4",
+    "eslint-config-next": "^15.3.9",
     "postcss": "^8",
     "prettier": "^3.2.0",
     "prettier-plugin-tailwindcss": "^0.5.0",

web/studio/src/components/QuestionBank/ExcelImportModal.tsx

@@ -1,8 +1,7 @@
 'use client';
 
 import React, { useState } from 'react';
-import * as XLSX from 'xlsx';
-import { CreateQuestionBankPayload, QuestionBankType, questionBankApi } from '@/lib/api';
+import { questionBankApi } from '@/lib/api';
 import { X, Upload, FileSpreadsheet, Check, AlertCircle, Download } from 'lucide-react';
 
 interface ExcelImportModalProps {
@@ -16,131 +15,6 @@ export default function ExcelImportModal({ onSuccess, onCancel }: ExcelImportMod
     const [result, setResult] = useState<{ imported: number; skipped: number; error?: string } | null>(null);
     const [error, setError] = useState<string | null>(null);
 
-    const toQuestionType = (value: string): QuestionBankType | null => {
-        const normalized = value.trim().toLowerCase();
-        const mapping: Record<string, QuestionBankType> = {
-            'multiple-choice': 'multiple-choice',
-            'multiple choice': 'multiple-choice',
-            'mcq': 'multiple-choice',
-            'true-false': 'true-false',
-            'true false': 'true-false',
-            'boolean': 'true-false',
-            'short-answer': 'short-answer',
-            'short answer': 'short-answer',
-            'essay': 'essay',
-            'matching': 'matching',
-            'ordering': 'ordering',
-            'fill-in-the-blanks': 'fill-in-the-blanks',
-            'fill in the blanks': 'fill-in-the-blanks',
-            'audio-response': 'audio-response',
-            'audio response': 'audio-response',
-            'hotspot': 'hotspot',
-            'code-lab': 'code-lab',
-            'code lab': 'code-lab',
-        };
-        return mapping[normalized] || null;
-    };
-
-    const parseUnknownJson = (value: string): unknown => {
-        const trimmed = value.trim();
-        if (!trimmed) return undefined;
-        if (trimmed.startsWith('[') || trimmed.startsWith('{')) {
-            try {
-                return JSON.parse(trimmed);
-            } catch {
-                return undefined;
-            }
-        }
-        if (/^-?\d+$/.test(trimmed)) {
-            return Number.parseInt(trimmed, 10);
-        }
-        if (/^-?\d+\.\d+$/.test(trimmed)) {
-            return Number.parseFloat(trimmed);
-        }
-        return trimmed;
-    };
-
-    const parseOptions = (raw: string): unknown => {
-        const parsed = parseUnknownJson(raw);
-        if (Array.isArray(parsed)) return parsed;
-        if (typeof parsed === 'string') {
-            const pieces = parsed
-                .split(',')
-                .map((p) => p.trim())
-                .filter(Boolean);
-            return pieces.length > 0 ? pieces : undefined;
-        }
-        return undefined;
-    };
-
-    const parseExcelRows = async (file: File): Promise<CreateQuestionBankPayload[]> => {
-        const buffer = await file.arrayBuffer();
-        const workbook = XLSX.read(buffer, { type: 'array' });
-        const firstSheet = workbook.Sheets[workbook.SheetNames[0]];
-        if (!firstSheet) return [];
-
-        const rows = XLSX.utils.sheet_to_json<Record<string, unknown>>(firstSheet, {
-            defval: '',
-            raw: false,
-        });
-
-        return rows
-            .map((row) => {
-                const getField = (name: string): string => {
-                    const direct = row[name];
-                    if (direct !== undefined) return String(direct).trim();
-                    const lowerName = name.toLowerCase();
-                    const foundKey = Object.keys(row).find((k) => k.trim().toLowerCase() === lowerName);
-                    return foundKey ? String(row[foundKey]).trim() : '';
-                };
-
-                const questionText = getField('question_text');
-                const questionTypeRaw = getField('question_type');
-                const questionType = toQuestionType(questionTypeRaw);
-                if (!questionText || !questionType) return null;
-
-                const optionsRaw = getField('options');
-                const correctAnswerRaw = getField('correct_answer');
-                const explanation = getField('explanation') || undefined;
-                const difficultyRaw = getField('difficulty').toLowerCase();
-                const difficulty = ['easy', 'medium', 'hard'].includes(difficultyRaw) ? difficultyRaw : 'medium';
-                const tagsRaw = getField('tags');
-                const pointsRaw = getField('points');
-
-                let options = parseOptions(optionsRaw);
-                let correctAnswer = parseUnknownJson(correctAnswerRaw);
-
-                if (questionType === 'true-false') {
-                    options = ['Verdadero', 'Falso'];
-                    if (typeof correctAnswer === 'string') {
-                        const lower = correctAnswer.toLowerCase();
-                        correctAnswer = lower === 'verdadero' || lower === 'true' ? 0 : 1;
-                    }
-                }
-
-                const tags = tagsRaw
-                    ? tagsRaw
-                        .split(',')
-                        .map((t) => t.trim())
-                        .filter(Boolean)
-                    : undefined;
-
-                const pointsNum = Number.parseInt(pointsRaw, 10);
-
-                return {
-                    question_text: questionText,
-                    question_type: questionType,
-                    options,
-                    correct_answer: correctAnswer,
-                    explanation,
-                    difficulty,
-                    tags,
-                    points: Number.isFinite(pointsNum) && pointsNum > 0 ? pointsNum : 1,
-                } as CreateQuestionBankPayload;
-            })
-            .filter((item): item is CreateQuestionBankPayload => item !== null);
-    };
-
     const handleFileChange = (e: React.ChangeEvent<HTMLInputElement>) => {
         const file = e.target.files?.[0];
         if (file) {
@@ -158,42 +32,12 @@ export default function ExcelImportModal({ onSuccess, onCancel }: ExcelImportMod
             alert('Selecciona un archivo primero');
             return;
         }
-
         try {
             setUploading(true);
             setError(null);
-
-            const payloads = await parseExcelRows(excelFile);
-            if (payloads.length === 0) {
-                throw new Error('No se encontraron filas válidas en el archivo. Verifica columnas y tipos.');
-            }
-
-            let imported = 0;
-            let skipped = 0;
-            const errors: string[] = [];
-
-            for (const payload of payloads) {
-                try {
-                    await questionBankApi.create(payload);
-                    imported += 1;
-                } catch (e) {
-                    skipped += 1;
-                    if (errors.length < 5) {
-                        errors.push((e as Error).message || 'Error desconocido al crear pregunta');
-                    }
-                }
-            }
-
-            setResult({
-                imported,
-                skipped,
-                error: errors.length > 0 ? errors.join(' | ') : undefined,
-            });
-
-            setTimeout(() => {
-                onSuccess?.();
-            }, 2000);
-
+            const res = await questionBankApi.importFromExcel(excelFile);
+            setResult(res);
+            setTimeout(() => { onSuccess?.(); }, 2000);
         } catch (err: unknown) {
             console.error('Excel import failed:', err);
             setError((err as Error)?.message || 'Error al importar');
@@ -208,7 +52,6 @@ export default function ExcelImportModal({ onSuccess, onCancel }: ExcelImportMod
             'What color is the sky?,multiple-choice,"[""Blue"",""Green"",""Red"",""Yellow""]",0,"The sky appears blue due to Rayleigh scattering",easy,"science,colors",1',
             'The sun rises in the east.,true-false,"[""Verdadero"",""Falso""]",0,"The sun always rises in the east",easy,"geography",1',
         ].join('\n');
-
         const blob = new Blob([csv], { type: 'text/csv;charset=utf-8;' });
         const url = URL.createObjectURL(blob);
         const link = document.createElement('a');
@@ -246,7 +89,6 @@ export default function ExcelImportModal({ onSuccess, onCancel }: ExcelImportMod
 
                 {/* Content */}
                 <div className="p-6 space-y-4">
-                    {/* Info Box */}
                     <div className="bg-blue-50 dark:bg-blue-900/20 border border-blue-200 dark:border-blue-800 rounded-lg p-4">
                         <h4 className="font-semibold text-blue-900 dark:text-blue-100 mb-2 text-sm">
                             ¿Cómo funciona?
@@ -256,11 +98,9 @@ export default function ExcelImportModal({ onSuccess, onCancel }: ExcelImportMod
                             <li>• question_type: multiple-choice, true-false, short-answer, etc.</li>
                             <li>• options: Formato JSON ["A","B","C","D"] o separado por comas</li>
                             <li>• correct_answer: Índice de la opción correcta (0, 1, 2, 3)</li>
-                            <li>• Todas las preguntas se importarán al banco</li>
                         </ul>
                     </div>
 
-                    {/* Download Template Button */}
                     <div className="flex items-center justify-between p-4 bg-gray-50 dark:bg-gray-700 rounded-lg">
                         <div className="flex items-center gap-3">
                             <Download className="w-5 h-5 text-gray-500" />
@@ -277,7 +117,6 @@ export default function ExcelImportModal({ onSuccess, onCancel }: ExcelImportMod
                         </button>
                     </div>
 
-                    {/* File Upload */}
                     <div className="border-2 border-dashed border-gray-300 dark:border-gray-600 rounded-lg p-8 text-center">
                         <input
                             type="file"
@@ -286,24 +125,16 @@ export default function ExcelImportModal({ onSuccess, onCancel }: ExcelImportMod
                             className="hidden"
                             id="excel-upload"
                         />
-                        <label
-                            htmlFor="excel-upload"
-                            className="cursor-pointer flex flex-col items-center gap-3"
-                        >
+                        <label htmlFor="excel-upload" className="cursor-pointer flex flex-col items-center gap-3">
                             <FileSpreadsheet className="w-12 h-12 text-green-500" />
                             <div>
                                 <span className="text-sm font-medium text-blue-600 hover:text-blue-700">
                                     Subir archivo Excel
                                 </span>
-                                <span className="text-sm text-gray-500 dark:text-gray-400">
-                                    {' '}o arrastrar aquí
-                                </span>
+                                <span className="text-sm text-gray-500 dark:text-gray-400"> o arrastrar aquí</span>
                             </div>
-                            <p className="text-xs text-gray-400 dark:text-gray-500">
-                                .xlsx, .xls - Máx 10MB
-                            </p>
+                            <p className="text-xs text-gray-400 dark:text-gray-500">.xlsx, .xls - Máx 10MB</p>
                         </label>
-                        
                         {excelFile && (
                             <div className="mt-4 p-3 bg-green-50 dark:bg-green-900/20 border border-green-200 dark:border-green-800 rounded-lg">
                                 <div className="flex items-center gap-2 text-sm text-green-800 dark:text-green-200">
@@ -315,34 +146,25 @@ export default function ExcelImportModal({ onSuccess, onCancel }: ExcelImportMod
                         )}
                     </div>
 
-                    {/* Result Messages */}
                     {result && (
                         <div className="bg-green-50 dark:bg-green-900/20 border border-green-200 dark:border-green-800 rounded-lg p-4">
                             <div className="flex items-center gap-3 mb-2">
                                 <Check className="w-5 h-5 text-green-600" />
-                                <p className="font-semibold text-green-900 dark:text-green-100">
-                                    ¡Importación completada!
-                                </p>
+                                <p className="font-semibold text-green-900 dark:text-green-100">¡Importación completada!</p>
                             </div>
                             <div className="grid grid-cols-3 gap-4 text-sm">
                                 <div>
                                     <span className="text-green-700 dark:text-green-300">Importadas:</span>
-                                    <span className="ml-2 font-bold text-green-900 dark:text-green-100">
-                                        {result.imported}
-                                    </span>
+                                    <span className="ml-2 font-bold text-green-900 dark:text-green-100">{result.imported}</span>
                                 </div>
                                 <div>
                                     <span className="text-green-700 dark:text-green-300">Saltadas:</span>
-                                    <span className="ml-2 font-bold text-green-900 dark:text-green-100">
-                                        {result.skipped}
-                                    </span>
+                                    <span className="ml-2 font-bold text-green-900 dark:text-green-100">{result.skipped}</span>
                                 </div>
                                 {result.error && (
                                     <div>
                                         <span className="text-green-700 dark:text-green-300">Errores:</span>
-                                        <span className="ml-2 font-bold text-green-900 dark:text-green-100">
-                                            {result.error}
-                                        </span>
+                                        <span className="ml-2 font-bold text-green-900 dark:text-green-100">{result.error}</span>
                                     </div>
                                 )}
                             </div>
@@ -353,12 +175,8 @@ export default function ExcelImportModal({ onSuccess, onCancel }: ExcelImportMod
                         <div className="bg-red-50 dark:bg-red-900/20 border border-red-200 dark:border-red-800 rounded-lg p-4 flex items-center gap-3">
                             <AlertCircle className="w-5 h-5 text-red-600" />
                             <div>
-                                <p className="text-sm font-medium text-red-900 dark:text-red-100">
-                                    Error
-                                </p>
-                                <p className="text-xs text-red-700 dark:text-red-300">
-                                    {error}
-                                </p>
+                                <p className="text-sm font-medium text-red-900 dark:text-red-100">Error</p>
+                                <p className="text-xs text-red-700 dark:text-red-300">{error}</p>
                             </div>
                         </div>
                     )}

web/studio/src/lib/api.ts

@@ -1622,6 +1622,12 @@ export const questionBankApi = {
     },
     delete: (id: string): Promise<void> =>
         apiFetch(`/question-bank/${id}`, { method: 'DELETE' }, false),
+    importFromExcel: async (file: File): Promise<{ imported: number; skipped: number; error?: string }> => {
+        const formData = new FormData();
+        formData.append('file', file);
+        const result = await apiFetch('/question-bank/import-excel', { method: 'POST', body: formData }, false);
+        return result as { imported: number; skipped: number; error?: string };
+    },
     importFromMySQL: async (courseId?: number, questionIds?: number[], importAll?: boolean): Promise<QuestionBank[]> => {
         const questions = await apiFetch('/question-bank/import-mysql', { method: 'POST', body: JSON.stringify({ mysql_course_id: courseId, question_ids: questionIds, import_all: importAll }) }, false);
         return (questions as QuestionBank[]).map(normalizeQuestionBank);