feat: add Docker Compose configuration for MongoDB, Redis, FastAPI, Chat, Worker, Flower, and Frontend services; include health checks and volume management

scripts/test_chat_rag.py

@@ -0,0 +1,59 @@
+#!/usr/bin/env python3
+"""
+Test script for RAG system in chat service
+"""
+
+import asyncio
+import sys
+from pathlib import Path
+
+# Add src to path
+sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
+
+from datacenter_docs.chat.agent import DocumentationAgent
+from datacenter_docs.utils.llm_client import get_llm_client
+
+
+async def test_rag_search():
+    """Test RAG search and retrieval"""
+    print("🧪 Testing RAG system...\n")
+
+    # Initialize agent
+    print("1️⃣ Initializing DocumentationAgent...")
+    agent = DocumentationAgent(vector_store_path="./data/chroma_db")
+    print("✅ Agent initialized\n")
+
+    # Test queries
+    test_queries = [
+        "Come è configurato smarthome-services?",
+        "Quali VM sono in esecuzione?",
+        "Come faccio il backup dei container?",
+        "Configurazione di storage su Proxmox",
+    ]
+
+    for i, query in enumerate(test_queries, 1):
+        print(f"\n{'='*60}")
+        print(f"Query {i}: {query}")
+        print('='*60)
+
+        # Search documentation
+        results = await agent.search_documentation(query, limit=3)
+
+        if results:
+            print(f"\n📚 Found {len(results)} results:\n")
+            for j, result in enumerate(results, 1):
+                print(f"  {j}. Section: {result['section']}")
+                print(f"     Relevance: {result['relevance_score']:.3f} ({result['relevance_score']*100:.1f}%)")
+                print(f"     Source: {Path(result['source']).name}")
+                print(f"     Content preview: {result['content'][:100]}...")
+                print()
+        else:
+            print("❌ No results found")
+
+    print("\n" + "="*60)
+    print("✅ RAG test completed successfully!")
+    print("="*60)
+
+
+if __name__ == "__main__":
+    asyncio.run(test_rag_search())