Se inserta el plan de estudios y se mandan crear los datos generales en segundo plano, y la edge funcion de openai-webhook-responses recibe la respuesta para actualizar el plan de estudio con los datos generales

supabase/functions/openai-webhook-responses/index.ts

@@ -27,20 +27,32 @@ async function handleCompletedResponse(
 
   switch (metadata.tabla) {
     case "planes_estudio":
-      handlePlanesEstudioResponse(response);
+      await handlePlanesEstudioResponse(response);
       break;
     default:
       console.warn("Tabla no reconocida:", metadata.tabla);
   }
 
-  const output_text = response.output
-    .filter((item: any) => item.type === "message")
-    .flatMap((item: any) => item.content)
-    .filter((contentItem: any) => contentItem.type === "output_text")
-    .map((contentItem: any) => contentItem.text)
+  const direct = (response as unknown as { output_text?: unknown }).output_text;
+  if (typeof direct === "string" && direct.length) {
+    console.log("Response output:", direct);
+    return;
+  }
+
+  const output = (response as unknown as { output?: unknown }).output;
+  if (!Array.isArray(output)) {
+    console.log("Response output: (no output)");
+    return;
+  }
+
+  const outputText = output
+    .filter((item) => (item as { type?: unknown })?.type === "message")
+    .flatMap((item) => (item as { content?: unknown })?.content ?? [])
+    .filter((c) => (c as { type?: unknown })?.type === "output_text")
+    .map((c) => String((c as { text?: unknown })?.text ?? ""))
     .join("");
 
-  console.log("Response output:", output_text);
+  console.log("Response output:", outputText);
 }
 
 Deno.serve(async (req) => {