feat: fix AI for generation questions with RAG
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@@ -147,55 +147,44 @@ export default function QuestionBankEditor({ question, onSuccess, onCancel }: Qu
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try {
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setGeneratingAI(true);
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// AI generation with skill verification
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const response = await fetch(`${process.env.NEXT_PUBLIC_CMS_API_URL || 'http://localhost:3001'}/lessons/dummy/generate-quiz`, {
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// AI generation con el nuevo endpoint de question bank
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const token = localStorage.getItem('studio_token');
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const response = await fetch(`${process.env.NEXT_PUBLIC_CMS_API_URL || 'http://localhost:3001'}/question-bank/ai-generate`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'Authorization': `Bearer ${localStorage.getItem('token')}`,
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'Authorization': `Bearer ${token}`,
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},
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body: JSON.stringify({
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context: `Generate a question that assesses ${randomSkill.toUpperCase()} skill. ${skillPrompts[randomSkill as keyof typeof skillPrompts]}
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Base question context: ${formData.question_text}
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IMPORTANT: The question must:
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1. Test the ${randomSkill} skill specifically
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2. Be pedagogically sound for English language learning
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3. Include clear options and a thorough explanation
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4. Be appropriate for the difficulty level: ${formData.difficulty}
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Return the question with options and explanation.`,
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quiz_type: formData.question_type,
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question_text: formData.question_text,
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difficulty: formData.difficulty,
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skill: randomSkill,
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}),
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});
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if (!response.ok) {
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throw new Error('Error al generar con IA');
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const errorText = await response.text();
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throw new Error(`Error ${response.status}: ${errorText}`);
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}
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const data = await response.json();
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if (data.blocks && data.blocks.length > 0) {
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const block = data.blocks[0];
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if (block.quiz_data && block.quiz_data.questions && block.quiz_data.questions.length > 0) {
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const aiQuestion = block.quiz_data.questions[0];
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setFormData({
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...formData,
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options: aiQuestion.options || formData.options,
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correct_answer: aiQuestion.correct,
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explanation: aiQuestion.explanation
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? `${aiQuestion.explanation}\n\n📊 Skill assessed: ${randomSkill.toUpperCase()}`
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: `This question assesses ${randomSkill.toUpperCase()} skills.`,
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tags: [...(formData.tags || []), randomSkill, 'ai-generated'],
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});
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alert(`IA generó las opciones y explicación enfocadas en la habilidad: ${randomSkill.toUpperCase()}`);
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}
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if (data.options && data.correct_answer !== undefined) {
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setFormData({
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...formData,
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options: data.options,
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correct_answer: data.correct_answer,
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explanation: data.explanation
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? `${data.explanation}\n\n📊 Skill assessed: ${randomSkill.toUpperCase()}`
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: `This question assesses ${randomSkill.toUpperCase()} skills.`,
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tags: [...(formData.tags || []), randomSkill, 'ai-generated'],
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});
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alert(`IA generó las opciones y explicación enfocadas en la habilidad: ${randomSkill.toUpperCase()}`);
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}
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} catch (error) {
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console.error('AI generation error:', error);
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alert('Error al generar con IA. Asegúrate de tener Ollama configurado.');
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alert(`Error al generar con IA: ${error instanceof Error ? error.message : 'Verifica que Ollama esté configurado'}`);
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} finally {
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setGeneratingAI(false);
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}
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@@ -163,65 +163,61 @@ export default function TestTemplateForm({ onSuccess, onCancel }: TestTemplateFo
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setExpandedQuestion(newQuestion.id);
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};
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const handleUpdateQuestion = (questionId: string, updates: Partial<Question>) => {
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setQuestions(questions.map(q => q.id === questionId ? { ...q, ...updates } : q));
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};
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const handleRemoveQuestion = (questionId: string) => {
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setQuestions(questions.filter(q => q.id !== questionId));
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};
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const handleGenerateWithAI = async () => {
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if (!aiContext.trim()) {
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alert('Ingresa el contexto para generar las preguntas (ej: tema de la lección, contenido, etc.)');
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return;
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}
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const token = localStorage.getItem('studio_token');
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if (!token) {
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alert('No hay sesión activa. Por favor inicia sesión nuevamente.');
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return;
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}
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try {
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setGeneratingAI(true);
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// Usar el endpoint de generación de quiz existente
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const response = await fetch(`${process.env.NEXT_PUBLIC_CMS_API_URL || 'http://localhost:3001'}/lessons/dummy/generate-quiz`, {
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// Usar el endpoint RAG de generación de preguntas desde banco MySQL
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const response = await fetch(`${process.env.NEXT_PUBLIC_CMS_API_URL || 'http://localhost:3001'}/test-templates/generate-with-rag`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'Authorization': `Bearer ${localStorage.getItem('token')}`,
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'Authorization': `Bearer ${token}`,
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},
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body: JSON.stringify({
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context: aiContext,
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quiz_type: 'multiple-choice',
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topic: aiContext,
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num_questions: 5,
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}),
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});
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if (!response.ok) {
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throw new Error('Error al generar con IA');
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const errorText = await response.text();
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throw new Error(`Error ${response.status}: ${errorText}`);
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}
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const data = await response.json();
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const generatedQuestions = await response.json();
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// Parsear las preguntas generadas
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if (data.blocks && data.blocks.length > 0) {
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const block = data.blocks[0];
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if (block.quiz_data && block.quiz_data.questions) {
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const generatedQuestions: Question[] = block.quiz_data.questions.map((q: any, idx: number) => ({
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id: `q-${Date.now()}-${idx}`,
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section_id: undefined,
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question_order: idx,
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question_type: q.type || 'multiple-choice',
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question_text: q.question,
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options: q.options,
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correct_answer: q.correct,
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explanation: q.explanation || '',
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points: 1,
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}));
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setQuestions([...questions, ...generatedQuestions]);
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alert(`Se generaron ${generatedQuestions.length} preguntas con IA`);
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}
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if (Array.isArray(generatedQuestions) && generatedQuestions.length > 0) {
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const questionsToAdd: Question[] = generatedQuestions.map((q: any, idx: number) => ({
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id: `q-${Date.now()}-${idx}`,
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section_id: undefined,
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question_order: questions.length + idx,
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question_type: q.question_type || 'multiple-choice',
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question_text: q.question_text || q.text,
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options: q.options || [],
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correct_answer: q.correct_answer || q.correct,
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explanation: q.explanation || '',
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points: q.points || 1,
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}));
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setQuestions([...questions, ...questionsToAdd]);
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alert(`Se generaron ${questionsToAdd.length} preguntas con IA`);
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}
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} catch (error) {
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console.error('AI generation error:', error);
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alert('Error al generar preguntas con IA. Asegúrate de tener Ollama configurado.');
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alert(`Error al generar preguntas con IA: ${error instanceof Error ? error.message : 'Verifica que Ollama esté configurado y el banco de preguntas MySQL tenga datos'}`);
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} finally {
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setGeneratingAI(false);
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}
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