Update main.py

main.py

@@ -462,7 +462,7 @@ WHATSAPP_EXTRACTION_PROMPT = """You are a support knowledge base curator for the
 Your task: analyse this WhatsApp support group chat segment and extract ONLY clear problem→solution pairs.
 
 CONTEXT ABOUT THIS APP:
-- "Iris" is a mobile attendance/location tracking app used by field sales reps at retail stores.
+- "Iris" is a POS system and it also includes fiscalisation, mobile attendance/location tracking at retail stores.
 - Common issues: GPS location not detected, clock-in failures, app killed by Android battery optimiser,
   teller passkey problems, hours not recording correctly, store radius too small, wrong teller name shown.
 - Messages mix English, Shona, and Ndebele. Understand regional vernacular (e.g. "irikudzima" = switching off,
@@ -612,6 +612,7 @@ def whatsapp_import():
     return jsonify({
         "ok":             True,
         "articles_found": len(all_articles),
+        "articles":       all_articles,   # full list — frontend INSERTs to Supabase kb_articles
         "saved":          stats["saved"],
         "skipped_dupes":  stats["skipped"],
     })
@@ -706,7 +707,8 @@ def bulk_upload():
         return jsonify({"ok": False, "error": "No articles extracted from file"}), 400
 
     stats = _save_kb_articles(articles, source_label=f"bulk_upload:{filename}")
-    return jsonify({"ok": True, "articles_found": len(articles), "saved": stats["saved"], "skipped_dupes": stats["skipped"]})
+    return jsonify({"ok": True, "articles_found": len(articles), "articles": articles,  # full list — frontend INSERTs to Supabase kb_articles
+                    "saved": stats["saved"], "skipped_dupes": stats["skipped"]})
 
 
 # ══════════════════════════════════════════════════════════════════════════════
@@ -868,7 +870,9 @@ def tutorial_ingest():
             elif not isinstance(val, int):
                 a[ts_key] = 0
     stats = _save_kb_articles(articles, source_label=f"tutorial:{video_title}")
-    return jsonify({"ok": True, "video_title": video_title, "articles_found": len(articles), "saved": stats["saved"], "skipped_dupes": stats["skipped"]})
+    return jsonify({"ok": True, "video_title": video_title, "articles_found": len(articles),
+                    "articles": articles,  # full list — frontend INSERTs to Supabase kb_articles
+                    "saved": stats["saved"], "skipped_dupes": stats["skipped"]})
 
 
 # ══════════════════════════════════════════════════════════════════════════════
@@ -903,7 +907,9 @@ def agent_solution_nl():
     if ticket_id:
         article.setdefault("tags", []).append(f"ticket:{ticket_id}")
     stats = _save_kb_articles([article], source_label=f"agent:{agent_id}")
-    return jsonify({"ok": True, "saved": stats["saved"], "article": article})
+    return jsonify({"ok": True, "saved": stats["saved"],
+                    "article": article,    # single article — frontend INSERTs to Supabase kb_articles
+                    "articles": [article]})
 
 
 @app.post("/api/kb/agent-solution-voice")
@@ -925,7 +931,9 @@ def agent_solution_voice():
     if ticket_id:
         article.setdefault("tags", []).append(f"ticket:{ticket_id}")
     stats = _save_kb_articles([article], source_label=f"agent:{agent_id}")
-    return jsonify({"ok": True, "transcript": transcript, "saved": stats["saved"], "article": article})
+    return jsonify({"ok": True, "transcript": transcript, "saved": stats["saved"],
+                    "article": article,    # single article — frontend INSERTs to Supabase kb_articles
+                    "articles": [article]})
 
 
 # ══════════════════════════════════════════════════════════════════════════════