feat: initialize project with docker-compose infrastructure and server application logic

server/lib/openai.js

@@ -137,15 +137,16 @@ const normalizeHealthAnalysis = (raw, language) => {
   const actionsNowRaw = getStringArray(raw.actionsNow).slice(0, 8);
   const plan7DaysRaw = getStringArray(raw.plan7Days).slice(0, 10);
 
-  if (scoreRaw == null || !statusRaw || !Array.isArray(issuesRaw)) {
-    return null;
-  }
-
-  const status = statusRaw === 'healthy' || statusRaw === 'watch' || statusRaw === 'critical'
+  // Use safe defaults instead of returning null — bad/partial JSON falls through
+  // to the graceful "Uncertain analysis" fallback at line 164 rather than
+  // propagating null → PROVIDER_ERROR to the caller.
+  const score = scoreRaw ?? 50;
+  const status = (statusRaw === 'healthy' || statusRaw === 'watch' || statusRaw === 'critical')
     ? statusRaw
     : 'watch';
+  const issuesInput = Array.isArray(issuesRaw) ? issuesRaw : [];
 
-  const likelyIssues = issuesRaw
+  const likelyIssues = issuesInput
     .map((entry) => {
       if (!entry || typeof entry !== 'object' || Array.isArray(entry)) return null;
       const title = getString(entry.title);
@@ -168,7 +169,7 @@ const normalizeHealthAnalysis = (raw, language) => {
         ? 'La IA no pudo extraer senales de salud estables.'
         : 'AI could not extract stable health signals.';
     return {
-      overallHealthScore: Math.round(clamp(scoreRaw, 0, 100)),
+      overallHealthScore: Math.round(clamp(score, 0, 100)),
       status,
       likelyIssues: [
         {
@@ -191,7 +192,7 @@ const normalizeHealthAnalysis = (raw, language) => {
   }
 
   return {
-    overallHealthScore: Math.round(clamp(scoreRaw, 0, 100)),
+    overallHealthScore: Math.round(clamp(score, 0, 100)),
     status,
     likelyIssues,
     actionsNow: actionsNowRaw,
@@ -305,10 +306,14 @@ const postChatCompletion = async ({ modelChain, messages, imageUri, temperature
 
       if (!response.ok) {
         const body = await response.text();
+        let parsedError = {};
+        try { parsedError = JSON.parse(body); } catch {}
         console.warn('OpenAI request HTTP error.', {
           status: response.status,
           model,
           endpoint: OPENAI_CHAT_COMPLETIONS_URL,
+          openAiCode: parsedError?.error?.code,
+          openAiMessage: parsedError?.error?.message,
           image: summarizeImageUri(imageUri),
           bodyPreview: body.slice(0, 300),
         });