Refactorizacion de logica de analisis de las preguntas con la IA y que acepte y respete las reglas de imagenes

frontend/src/App.jsx

@@ -3343,7 +3343,14 @@ function InspectionModal({ checklist, user, onClose, onComplete }) {
   }
 
   const handlePhotoChange = async (questionId, files) => {
-    const filesArray = Array.from(files)
+    const question = questions.find(q => q.id === questionId)
+    let filesArray = Array.from(files)
+    
+    // Validar límite de fotos
+    if (question.max_photos && filesArray.length > question.max_photos) {
+      alert(`⚠️ Solo puedes subir hasta ${question.max_photos} foto${question.max_photos > 1 ? 's' : ''} para esta pregunta`)
+      filesArray = filesArray.slice(0, question.max_photos)
+    }
     
     // Update photos immediately
     setAnswers(prev => ({
@@ -3381,9 +3388,12 @@ function InspectionModal({ checklist, user, onClose, onComplete }) {
         console.log(`📝 Usando prompt personalizado: ${question.ai_prompt.substring(0, 50)}...`)
       }
 
-      // Analyze each photo
+      // Analyze each photo sequentially
       const analyses = []
-      for (const file of files) {
+      for (let i = 0; i < files.length; i++) {
+        const file = files[i]
+        console.log(`📸 Analizando foto ${i + 1} de ${files.length}: ${file.name}`)
+        
         const formData = new FormData()
         formData.append('file', file)
         formData.append('question_id', question.id.toString())
@@ -3392,6 +3402,7 @@ function InspectionModal({ checklist, user, onClose, onComplete }) {
         console.log('   - question_id:', question.id)
         console.log('   - question.text:', question.text)
         console.log('   - question.ai_prompt:', question.ai_prompt || 'NO TIENE')
+        console.log('   - imagen:', i + 1, 'de', files.length)
         
         // Include inspection_id for vehicle context
         if (inspectionId) {
@@ -3424,8 +3435,8 @@ function InspectionModal({ checklist, user, onClose, onComplete }) {
           
           // Check if AI analysis was successful
           if (result.success && result.analysis) {
-            analyses.push(result)
+            analyses.push({ ...result, imageIndex: i + 1, fileName: file.name })
-            console.log('✅ Análisis IA exitoso')
+            console.log('✅ Análisis IA exitoso para imagen', i + 1)
             console.log('   - Provider:', result.provider)
             console.log('   - Model:', result.model)
             console.log('   - Status:', result.analysis.status)
@@ -3435,6 +3446,7 @@ function InspectionModal({ checklist, user, onClose, onComplete }) {
             // Show user-friendly error
             if (result.error && result.error.includes('No AI configuration')) {
               alert('⚙️ Por favor configura tu API key en Configuración primero.')
+              break // Stop analyzing if no API key
             }
           }
         } else {
@@ -3445,65 +3457,90 @@ function InspectionModal({ checklist, user, onClose, onComplete }) {
 
       if (analyses.length > 0) {
         console.log('✅ Análisis recibidos:', analyses.length)
-        // Process analysis results
+        
-        const firstResult = analyses[0]
-        const analysis = firstResult.analysis
-        console.log('📊 Análisis completo:', analysis)
         let suggestedAnswer = null
         let observationsText = ''
+        let worstStatus = 'ok' // Track the worst status across all images
+        
+        if (analyses.length === 1) {
+          // Single image analysis
+          const firstResult = analyses[0]
+          const analysis = firstResult.analysis
+          console.log('📊 Análisis de imagen única:', analysis)
 
-        // Check if analysis is an object (structured JSON response)
+          // Check if analysis is an object (structured JSON response)
-        if (typeof analysis === 'object' && analysis !== null) {
+          if (typeof analysis === 'object' && analysis !== null) {
-          // Extract structured information
+            // Extract structured information
-          const status = analysis.status || 'ok'
+            const status = analysis.status || 'ok'
-          const observations = analysis.observations || ''
+            const observations = analysis.observations || ''
-          const recommendation = analysis.recommendation || ''
+            const recommendation = analysis.recommendation || ''
-          const confidence = analysis.confidence || 0.7
+            const confidence = analysis.confidence || 0.7
 
-          // Build observations text
+            // Build observations text
-          observationsText = `🤖 Análisis IA (${(confidence * 100).toFixed(0)}% confianza):\n${observations}`
+            observationsText = `🤖 Análisis IA (${(confidence * 100).toFixed(0)}% confianza):\n${observations}`
-          if (recommendation) {
+            if (recommendation) {
-            observationsText += `\n\n💡 Recomendación: ${recommendation}`
+              observationsText += `\n\n💡 Recomendación: ${recommendation}`
-          }
-
-          // Map status to answer based on question type
-          if (question.type === 'pass_fail') {
-            if (status === 'ok') {
-              suggestedAnswer = 'pass'
-            } else if (status === 'critical' || status === 'minor') {
-              suggestedAnswer = 'fail'
-            }
-          } else if (question.type === 'good_bad') {
-            if (status === 'ok') {
-              suggestedAnswer = 'good'
-            } else if (status === 'minor') {
-              suggestedAnswer = 'regular'
-            } else if (status === 'critical') {
-              suggestedAnswer = 'bad'
             }
+            worstStatus = status
+          } else if (typeof analysis === 'string') {
+            observationsText = `🤖 Análisis IA:\n${analysis}`
           }
-        } else if (typeof analysis === 'string') {
+        } else {
-          // Fallback for plain text responses
+          // Multiple images - summarize all analyses
-          observationsText = `🤖 Análisis IA:\n${analysis}`
+          console.log('📊 Resumen de', analyses.length, 'análisis:')
-          const analysisLower = analysis.toLowerCase()
+          observationsText = `🤖 Análisis IA de ${analyses.length} imágenes:\n\n`
           
-          if (question.type === 'pass_fail') {
+          const statusPriority = { 'critical': 3, 'minor': 2, 'warning': 2, 'ok': 1 }
-            if (analysisLower.includes('pasa') || analysisLower.includes('correcto') || analysisLower.includes('bueno') || analysisLower.includes('ok')) {
+          let maxPriority = 0
-              suggestedAnswer = 'pass'
+          
-            } else if (analysisLower.includes('falla') || analysisLower.includes('incorrecto') || analysisLower.includes('problema') || analysisLower.includes('critical')) {
+          analyses.forEach((result, index) => {
-              suggestedAnswer = 'fail'
+            const analysis = result.analysis
-            }
+            observationsText += `📸 Imagen ${result.imageIndex}:\n`
-          } else if (question.type === 'good_bad') {
+            
-            if (analysisLower.includes('bueno') || analysisLower.includes('excelente')) {
+            if (typeof analysis === 'object' && analysis !== null) {
-              suggestedAnswer = 'good'
+              const status = analysis.status || 'ok'
-            } else if (analysisLower.includes('regular') || analysisLower.includes('aceptable')) {
+              const observations = analysis.observations || ''
-              suggestedAnswer = 'regular'
+              const confidence = analysis.confidence || 0.7
-            } else if (analysisLower.includes('malo') || analysisLower.includes('deficiente')) {
+              
-              suggestedAnswer = 'bad'
+              observationsText += `   Estado: ${status.toUpperCase()}`
+              observationsText += ` (${(confidence * 100).toFixed(0)}% confianza)\n`
+              observationsText += `   ${observations}\n`
+              
+              // Track worst status
+              const priority = statusPriority[status] || 1
+              if (priority > maxPriority) {
+                maxPriority = priority
+                worstStatus = status
+              }
+            } else if (typeof analysis === 'string') {
+              observationsText += `   ${analysis}\n`
             }
+            observationsText += '\n'
+          })
+          
+          // Add overall recommendation
+          observationsText += `📋 Resumen General:\n`
+          observationsText += `   Estado más crítico detectado: ${worstStatus.toUpperCase()}\n`
+        }
+        
+        // Map worst status to answer
+        if (question.type === 'pass_fail') {
+          if (worstStatus === 'ok') {
+            suggestedAnswer = 'pass'
+          } else if (worstStatus === 'critical' || worstStatus === 'minor') {
+            suggestedAnswer = 'fail'
+          }
+        } else if (question.type === 'good_bad') {
+          if (worstStatus === 'ok') {
+            suggestedAnswer = 'good'
+          } else if (worstStatus === 'minor' || worstStatus === 'warning') {
+            suggestedAnswer = 'regular'
+          } else if (worstStatus === 'critical') {
+            suggestedAnswer = 'bad'
           }
         }
-
+        
+        
         // In FULL mode, auto-fill the answer
         if (checklist.ai_mode === 'full' && suggestedAnswer) {
           setAnswers(prev => ({
@@ -3513,7 +3550,7 @@ function InspectionModal({ checklist, user, onClose, onComplete }) {
               value: suggestedAnswer,
               observations: observationsText,
               photos: files,
-              aiAnalysis: firstResult.analysis  // Guardar análisis completo de IA
+              aiAnalysis: analyses  // Guardar todos los análisis
             }
           }))
           console.log(`🤖 FULL MODE: Respuesta auto-completada con: ${suggestedAnswer}`)
@@ -3883,7 +3920,12 @@ function InspectionModal({ checklist, user, onClose, onComplete }) {
                 {currentQuestion.allow_photos && (
                   <div>
                     <label className="block text-sm font-medium text-gray-700 mb-2">
-                      Fotografías (opcional)
+                      Fotografías *
+                      {currentQuestion.max_photos && (
+                        <span className="ml-2 text-xs text-gray-600">
+                          (máximo {currentQuestion.max_photos} foto{currentQuestion.max_photos > 1 ? 's' : ''})
+                        </span>
+                      )}
                       {(checklist.ai_mode === 'assisted' || checklist.ai_mode === 'full') && (
                         <span className="ml-2 text-xs text-blue-600">
                           🤖 Análisis IA activado
@@ -3893,10 +3935,11 @@ function InspectionModal({ checklist, user, onClose, onComplete }) {
                     <input
                       type="file"
                       accept="image/*"
-                      multiple
+                      multiple={currentQuestion.max_photos > 1}
                       onChange={(e) => handlePhotoChange(currentQuestion.id, e.target.files)}
                       className="w-full px-3 py-2 border border-gray-300 rounded-lg focus:ring-2 focus:ring-blue-500"
                       disabled={aiAnalyzing}
+                      required
                     />
                     
                     {aiAnalyzing && (
@@ -3941,6 +3984,11 @@ function InspectionModal({ checklist, user, onClose, onComplete }) {
                 {currentQuestionIndex < getVisibleQuestions().length - 1 ? (
                   <button
                     onClick={() => {
+                      // Validar que se hayan subido fotos si son obligatorias
+                      if (currentQuestion.allow_photos && (!answers[currentQuestion.id]?.photos || answers[currentQuestion.id].photos.length === 0)) {
+                        alert('⚠️ Debes subir al menos una fotografía para esta pregunta')
+                        return
+                      }
                       saveAnswer(currentQuestion.id)
                       goToQuestion(currentQuestionIndex + 1)
                     }}
@@ -3951,6 +3999,11 @@ function InspectionModal({ checklist, user, onClose, onComplete }) {
                 ) : (
                   <button
                     onClick={() => {
+                      // Validar que se hayan subido fotos si son obligatorias
+                      if (currentQuestion.allow_photos && (!answers[currentQuestion.id]?.photos || answers[currentQuestion.id].photos.length === 0)) {
+                        alert('⚠️ Debes subir al menos una fotografía para esta pregunta')
+                        return
+                      }
                       saveAnswer(currentQuestion.id)
                       proceedToSignatures()
                     }}