Se agrego la implementacion de Embedding

tests/test_mcp/test_qdrant_mcp.py

@@ -1,12 +1,10 @@
 import json
+
 import pytest
 from fastmcp import Client
-from fastembed import TextEmbedding
 
 from searchbox.mcp_server.server import mcp
 
-embedding_model = TextEmbedding()
-
 
 @pytest.fixture
 async def mcp_client():
@@ -15,19 +13,18 @@ async def mcp_client():
 
 
 async def test_mcp_qdrant_backend(mcp_client):
-    embedding = list(embedding_model.embed("Quien es el mas guapo"))[0].tolist()
-
+    """Test MCP server with automatic Azure embedding."""
     result = await mcp_client.call_tool(
         name="get_information",
         arguments={
-            "query": "dummy value",
-            "collection": "dummy_collection",
-            "embedding": embedding,
+            "query": "Quien es el mas guapo",
+            "collection": "azure_collection",
         },
     )
 
     content = json.loads(result.content[0].text)[0]
 
-    assert content["chunk_id"] == "0"
-    assert content["score"] >= 0.7
-    assert content["payload"] == {"text": "Rick es el mas guapo"}
+    assert content["score"] >= 0.65
+    assert content["payload"]["page_content"] == "Rick es el mas guapo"
+    assert content["payload"]["filename"] == "test.txt"
+    assert content["payload"]["page"] == 1