feat(nlu): clean up entity leakage and add generic Isfahan acoustic rules

bot/tools/send_analysis_to_bot.py

@@ -4,7 +4,6 @@ import logging
 import sys
 from pathlib import Path
 
-# Add project root to sys.path
 sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
 
 from app.config import settings
@@ -14,6 +13,7 @@ from app.runtime import BotContext, LinkedUser
 from app.nlu import understand
 from app.handlers import quote
 from app.defaults import AUTHORIZED_USERS
+from app import drafts as draft_store
 
 logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s — %(message)s")
 logger = logging.getLogger("send_analysis")
@@ -47,7 +47,12 @@ async def run():
         is_admin=user_info.get("is_admin", True),
     )
 
-    print("Sending transcripts to NLU (LLM) for multi-model consensus and entity extraction...")
+    # Cancel previous active draft to ensure fresh card
+    active = await draft_store.get_active(CHAT_ID)
+    if active:
+        await draft_store.set_status(active.id, "cancelled")
+
+    print("Sending transcripts to NLU (LLM) with upgraded Isfahan dialect prompt...")
     result = await understand(settings, TRANSCRIPTS)
     print("NLU Result:")
     print(json.dumps(result, ensure_ascii=False, indent=2))
@@ -56,13 +61,13 @@ async def run():
     patch = result.get("patch") or {}
 
     intro_msg = (
-        f"🤖 **تحلیل هوشمند فایل صوتی (تجمیع خروجی چند مدل STT):**\n\n"
-        f"📝 **متن استخراج‌شده و تصحیح‌شده (Consensus):**\n«{consensus_text}»\n\n"
+        f"🤖 **تحلیل هوشمند فایل صوتی (تجمیع خروجی چند مدل با لحاظ لهجه اصفهانی):**\n\n"
+        f"📝 **متن پالایش‌شده و رسمی (Consensus):**\n«{consensus_text}»\n\n"
         f"📋 پیش‌نویس استعلام خرید با مشخصات استخراج‌شده صادر گردید:"
     )
     await ctx.send(CHAT_ID, intro_msg)
 
-    # Create and render the draft quote
+    # Create and render the new draft quote
     await quote.handle_entities(
         ctx,
         CHAT_ID,