feat: add curriculum management admin dashboard with AI generation and draft approval workflows

src/lib/extractionPipeline.js

@@ -128,6 +128,9 @@ export async function processSourceText(textContent, sourceName, { signal } = {}
     const chunks = chunkText(textContent);
     console.log(`[Pipeline] Split "${sourceName}" into ${chunks.length} chunks for processing.`);
 
+    // Persist initial progress so other sessions/reloads can see it
+    await db.updateSourceProgress(sourceId, { current: 0, total: chunks.length, message: 'Starting extraction...' });
+
     const existingTopics = await db.getTopics();
     const knownTopics = existingTopics.map((t) => ({ id: t.id, label: t.label }));
 
@@ -138,6 +141,14 @@ export async function processSourceText(textContent, sourceName, { signal } = {}
       if (signal?.aborted) throw signal.reason ?? new DOMException('Aborted', 'AbortError');
 
       console.log(`[Pipeline] Processing chunk ${i + 1}/${chunks.length} (${chunks[i].length} chars)...`);
+
+      // Update progress before each chunk
+      await db.updateSourceProgress(sourceId, {
+        current: i,
+        total: chunks.length,
+        message: `Extracting chunk ${i + 1} of ${chunks.length}...`,
+      });
+
       const hint = buildKnownIdsHint(knownTopics);
       const result = await callLLM({
         task: 'extract.source',
@@ -168,6 +179,7 @@ export async function processSourceText(textContent, sourceName, { signal } = {}
       }
     }
 
+    await db.updateSourceProgress(sourceId, { current: chunks.length, total: chunks.length, message: 'Merging results...' });
     await mergeKnowledgeGraph(existingTopics, { topics: allExtractedTopics, relations: allExtractedRelations });
     await db.updateSourceStatus(sourceId, 'completed');