feat: whyrating - initial project from turbostarter boilerplate

packages/api/tests/check-document.ts

@@ -0,0 +1,81 @@
+/**
+ * Script to check a specific document and its embeddings
+ * Run: pnpm with-env npx tsx packages/api/tests/check-document.ts
+ */
+import { sql } from "@turbostarter/db";
+import { db } from "@turbostarter/db/server";
+
+const DOC_ID = "JnOv9Z7JK2ZWU92OrFFFuuCY1TSksaWv";
+
+async function check() {
+  console.log(`\n=== Checking document: ${DOC_ID} ===\n`);
+
+  // 1. Check if document exists in pdf.document
+  const docResult = await db.execute<{
+    id: string;
+    path: string;
+    name: string | null;
+    chat_id: string;
+    created_at: Date;
+  }>(sql`
+    SELECT id, path, name, chat_id, created_at
+    FROM pdf.document
+    WHERE id = ${DOC_ID}
+  `);
+
+  console.log("Document record:", docResult);
+
+  if (!Array.isArray(docResult) || docResult.length === 0) {
+    console.log("❌ Document NOT FOUND in pdf.document table!");
+
+    // Check if it might be in a different table or with different ID
+    const allDocs = await db.execute<{
+      id: string;
+      path: string;
+      chat_id: string;
+    }>(sql`SELECT id, path, chat_id FROM pdf.document ORDER BY created_at DESC LIMIT 10`);
+
+    console.log("\nRecent documents in pdf.document:");
+    for (const doc of allDocs as { id: string; path: string }[]) {
+      console.log(`  - ${doc.id} | ${doc.path}`);
+    }
+
+    process.exit(0);
+  }
+
+  const doc = docResult[0]!;
+  console.log(`✅ Document found: ${doc.name ?? doc.path}`);
+
+  // 2. Count embeddings for this document
+  const embeddingCount = await db.execute<{ count: number }>(sql`
+    SELECT COUNT(*)::int as count
+    FROM pdf.embedding
+    WHERE document_id = ${DOC_ID}
+  `);
+
+  const count = (embeddingCount as { count: number }[])[0]?.count ?? 0;
+  console.log(`📊 Embedding count: ${count}`);
+
+  if (count === 0) {
+    console.log("❌ Document has 0 embeddings - needs regeneration!");
+    console.log(`   Path: ${doc.path}`);
+  } else {
+    console.log("✅ Document has embeddings");
+
+    // Show sample embeddings
+    const samples = await db.execute(sql`
+      SELECT id, LEFT(content, 80) as preview, page_number
+      FROM pdf.embedding
+      WHERE document_id = ${DOC_ID}
+      LIMIT 3
+    `);
+    console.log("\nSample embeddings:", samples);
+  }
+
+  process.exit(0);
+}
+
+check().catch((e) => {
+  console.error("Error:", e);
+  process.exit(1);
+});