feat(infra): Stabilized Docker env, fixed circular imports, enabled AI Enricher Robot v1.1

backend/app/scripts/morning_report.py

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+import asyncio
+from sqlalchemy import select, func
+from app.db.session import SessionLocal
+from app.models.audit import ProcessLog
+from datetime import datetime, timedelta
+
+async def generate_morning_report():
+    async with SessionLocal() as db:
+        # Az elmúlt 24 óra logjai
+        yesterday = datetime.now() - timedelta(days=1)
+        stmt = select(ProcessLog).where(ProcessLog.start_time >= yesterday)
+        res = await db.execute(stmt)
+        logs = res.scalars().all()
+
+        report = f"📊 REGGELI ROBOT JELENTÉS - {datetime.now().date()}\n"
+        report += "="*40 + "\n"
+
+        total_proc = 0
+        total_fail = 0
+        cleaned_list = []
+
+        for log in logs:
+            total_proc += log.items_processed
+            total_fail += log.items_failed
+            if "cleaned" in log.details:
+                cleaned_list.extend(log.details["cleaned"])
+
+        report += f"✅ Feldolgozott modellek: {total_proc}\n"
+        report += f"❌ Hibás/Sikertelen: {total_fail}\n"
+        report += f"🧹 AI névtisztítások száma: {len(cleaned_list)}\n\n"
+        
+        if cleaned_list:
+            report += "Példák a tisztított nevekre:\n"
+            for item in cleaned_list[:10]: # Csak az első 10-et listázzuk
+                report += f"  - {item}\n"
+
+        print(report)
+        # Itt hívható az EmailManager.send(...)
+        return report
+
+if __name__ == "__main__":
+    asyncio.run(generate_morning_report())