⚡ fix: hoisting do closeRecordModal no frontend e fallback Groq/Gemini no Whisper/Relatório

public/app.js

@@ -2042,7 +2042,7 @@ const initApp = () => {
   }
 
   // Atualizar timer
-  const updateTimer = () => {
+  function updateTimer() {
     if (!recordingStartTime) return;
     const elapsed = Math.floor((Date.now() - recordingStartTime) / 1000);
     const mins = Math.floor(elapsed / 60).toString().padStart(2, '0');
@@ -2088,7 +2088,7 @@ const initApp = () => {
   }
 
   // Mostrar prévia do relatório
-  const showReportPreview = (data) => {
+  function showReportPreview(data) {
     recordStateProcessing.style.display = 'none';
     recordStatePreview.style.display = 'flex';
 
@@ -2166,7 +2166,7 @@ const initApp = () => {
   }
 
   // Fechar modal
-  const closeRecordModal = () => {
+  function closeRecordModal() {
     if (mediaRecorder && mediaRecorder.state !== 'inactive') {
       mediaRecorder.stop();
       mediaRecorder.stream.getTracks().forEach(t => t.stop());

server.js

@@ -230,28 +230,56 @@ app.post('/api/observacao/transcrever', requireAuth, multerUpload.single('audio'
     // Salva arquivo temporário a partir do buffer
     fs.writeFileSync(tempPath, req.file.buffer);
 
-    // Transcreve via OpenAI Whisper
+    let transcribedText = '';
-    const whisperFormData = new FormData();
-    whisperFormData.append('file', fs.createReadStream(tempPath));
-    whisperFormData.append('model', 'whisper-1');
-    whisperFormData.append('language', 'pt');
-    whisperFormData.append('response_format', 'text');
 
-    const whisperRes = await fetch('https://api.openai.com/v1/audio/transcriptions', {
+    if (process.env.OPENAI_API_KEY) {
-      method: 'POST',
+      console.log('[Smart Transcription] Usando OpenAI Whisper...');
-      headers: {
+      const whisperFormData = new FormData();
-        'Authorization': `Bearer ${process.env.OPENAI_API_KEY}`
+      whisperFormData.append('file', fs.createReadStream(tempPath));
-      },
+      whisperFormData.append('model', 'whisper-1');
-      body: whisperFormData
+      whisperFormData.append('language', 'pt');
-    });
+      whisperFormData.append('response_format', 'text');
 
-    if (!whisperRes.ok) {
+      const whisperRes = await fetch('https://api.openai.com/v1/audio/transcriptions', {
-      const errText = await whisperRes.text();
+        method: 'POST',
-      console.error('Whisper error:', errText);
+        headers: {
-      throw new Error('Erro na transcrição');
+          'Authorization': `Bearer ${process.env.OPENAI_API_KEY}`
+        },
+        body: whisperFormData
+      });
+
+      if (!whisperRes.ok) {
+        const errText = await whisperRes.text();
+        console.error('OpenAI Whisper error:', errText);
+        throw new Error('Erro na transcrição via OpenAI');
+      }
+      transcribedText = await whisperRes.text();
+    } else if (process.env.GROQ_API_KEY) {
+      console.log('[Smart Transcription] Usando Groq Whisper como fallback...');
+      const whisperFormData = new FormData();
+      whisperFormData.append('file', fs.createReadStream(tempPath));
+      whisperFormData.append('model', 'whisper-large-v3');
+      whisperFormData.append('language', 'pt');
+      whisperFormData.append('response_format', 'text');
+
+      const whisperRes = await fetch('https://api.groq.com/openai/v1/audio/transcriptions', {
+        method: 'POST',
+        headers: {
+          'Authorization': `Bearer ${process.env.GROQ_API_KEY}`
+        },
+        body: whisperFormData
+      });
+
+      if (!whisperRes.ok) {
+        const errText = await whisperRes.text();
+        console.error('Groq Whisper error:', errText);
+        throw new Error('Erro na transcrição via Groq');
+      }
+      transcribedText = await whisperRes.text();
+    } else {
+      throw new Error('Nenhuma chave de API configurada para transcrição de áudio (OPENAI_API_KEY ou GROQ_API_KEY).');
     }
 
-    const transcribedText = await whisperRes.text();
     fs.unlinkSync(tempPath); // Limpa tmp
 
     if (!transcribedText || transcribedText.trim().length < 5) {
@@ -286,26 +314,96 @@ ${transcribedText}
 
 Retorne APENAS o JSON válido:`;
 
-    const reportRes = await fetch('https://openrouter.ai/api/v1/chat/completions', {
+    let rawContent = '';
-      method: 'POST',
-      headers: {
-        'Authorization': `Bearer ${process.env.OPENROUTER_API_KEY}`,
-        'Content-Type': 'application/json'
-      },
-      body: JSON.stringify({
-        model: process.env.OPENROUTER_MODEL || 'openai/gpt-4.1-nano',
-        messages: [{ role: 'user', content: reportPrompt }],
-        temperature: 0.5,
-        max_tokens: 1500
-      })
-    });
 
-    if (!reportRes.ok) {
+    // Tentar OpenRouter
-      throw new Error('Erro ao gerar relatório');
+    try {
+      console.log('[Smart Report] Tentando gerar relatório via OpenRouter...');
+      const reportRes = await fetch('https://openrouter.ai/api/v1/chat/completions', {
+        method: 'POST',
+        headers: {
+          'Authorization': `Bearer ${process.env.OPENROUTER_API_KEY}`,
+          'Content-Type': 'application/json'
+        },
+        body: JSON.stringify({
+          model: process.env.OPENROUTER_MODEL || 'openai/gpt-4.1-nano',
+          messages: [{ role: 'user', content: reportPrompt }],
+          temperature: 0.5,
+          max_tokens: 1500
+        })
+      });
+
+      if (reportRes.ok) {
+        const reportData = await reportRes.json();
+        rawContent = reportData.choices?.[0]?.message?.content || '';
+      } else {
+        console.warn('[Smart Report] Falha no OpenRouter:', await reportRes.text());
+      }
+    } catch (err) {
+      console.error('[Smart Report] Erro de conexão com OpenRouter:', err.message);
     }
 
-    const reportData = await reportRes.json();
+    // Fallback para Groq se OpenRouter falhar
-    const rawContent = reportData.choices?.[0]?.message?.content || '';
+    if (!rawContent && process.env.GROQ_API_KEY) {
+      try {
+        console.log('[Smart Report] Usando Groq como fallback para gerar relatório...');
+        const reportRes = await fetch('https://api.groq.com/openai/v1/chat/completions', {
+          method: 'POST',
+          headers: {
+            'Authorization': `Bearer ${process.env.GROQ_API_KEY}`,
+            'Content-Type': 'application/json'
+          },
+          body: JSON.stringify({
+            model: process.env.GROQ_MODEL || 'llama-3.3-70b-versatile',
+            messages: [{ role: 'user', content: reportPrompt }],
+            temperature: 0.5,
+            max_tokens: 1500
+          })
+        });
+
+        if (reportRes.ok) {
+          const reportData = await reportRes.json();
+          rawContent = reportData.choices?.[0]?.message?.content || '';
+        } else {
+          console.warn('[Smart Report] Falha no Groq:', await reportRes.text());
+        }
+      } catch (err) {
+        console.error('[Smart Report] Erro de conexão com Groq:', err.message);
+      }
+    }
+
+    // Fallback para Google Gemini se OpenRouter e Groq falharem
+    if (!rawContent && process.env.GOOGLE_AI_API_KEY) {
+      try {
+        console.log('[Smart Report] Usando Google Gemini como fallback para gerar relatório...');
+        const reportRes = await fetch('https://generativelanguage.googleapis.com/v1beta/openai/chat/completions', {
+          method: 'POST',
+          headers: {
+            'Authorization': `Bearer ${process.env.GOOGLE_AI_API_KEY}`,
+            'Content-Type': 'application/json'
+          },
+          body: JSON.stringify({
+            model: process.env.GOOGLE_AI_MODEL || 'gemini-2.5-flash',
+            messages: [{ role: 'user', content: reportPrompt }],
+            temperature: 0.5,
+            max_tokens: 1500
+          })
+        });
+
+        if (reportRes.ok) {
+          const reportData = await reportRes.json();
+          rawContent = reportData.choices?.[0]?.message?.content || '';
+        } else {
+          console.warn('[Smart Report] Falha no Google Gemini:', await reportRes.text());
+        }
+      } catch (err) {
+        console.error('[Smart Report] Erro de conexão com Google Gemini:', err.message);
+      }
+    }
+
+    if (!rawContent) {
+      throw new Error('Falha ao processar o relatório pedagógico em todos os provedores de IA (OpenRouter, Groq e Google Gemini).');
+    }
 
     // Parse JSON da resposta
     let parsedData = { criancas: null, turma: 'não informada', tags: [], relatorio: rawContent };