Fix Vertex AI embeddings URL typo (publishers/goole -> publishers/google)

Co-Authored-By: Joe Moura <joao@crewai.com>

tests/utilities/test_embedding_configurator.py

@@ -0,0 +1,36 @@
+import pytest
+from unittest.mock import patch, MagicMock
+
+from crewai.utilities.embedding_configurator import EmbeddingConfigurator
+from crewai.utilities.embedding_functions import FixedGoogleVertexEmbeddingFunction
+
+
+class TestEmbeddingConfigurator:
+    @pytest.fixture
+    def embedding_configurator(self):
+        return EmbeddingConfigurator()
+    
+    def test_configure_vertexai(self, embedding_configurator):
+        with patch('crewai.utilities.embedding_functions.FixedGoogleVertexEmbeddingFunction') as mock_class:
+            mock_instance = MagicMock()
+            mock_class.return_value = mock_instance
+            
+            config = {
+                "provider": "vertexai",
+                "config": {
+                    "api_key": "test-key",
+                    "model": "test-model",
+                    "project_id": "test-project",
+                    "region": "test-region"
+                }
+            }
+            
+            result = embedding_configurator.configure_embedder(config)
+            
+            mock_class.assert_called_once_with(
+                model_name="test-model",
+                api_key="test-key",
+                project_id="test-project",
+                region="test-region"
+            )
+            assert result == mock_instance

tests/utilities/test_embedding_functions.py

@@ -0,0 +1,51 @@
+import pytest
+import requests
+from unittest.mock import patch, MagicMock
+
+from crewai.utilities.embedding_functions import FixedGoogleVertexEmbeddingFunction
+
+
+class TestFixedGoogleVertexEmbeddingFunction:
+    @pytest.fixture
+    def embedding_function(self):
+        with patch('requests.post') as mock_post:
+            mock_response = MagicMock()
+            mock_response.json.return_value = {"predictions": [[0.1, 0.2, 0.3]]}
+            mock_post.return_value = mock_response
+            
+            function = FixedGoogleVertexEmbeddingFunction(
+                model_name="test-model",
+                api_key="test-key"
+            )
+            
+            yield function, mock_post
+            
+            if hasattr(function, '_original_post'):
+                requests.post = function._original_post
+            
+    def test_url_correction(self, embedding_function):
+        function, mock_post = embedding_function
+        
+        typo_url = "https://us-central1-aiplatform.googleapis.com/v1/projects/test-project/locations/us-central1/publishers/goole/models/test-model:predict"
+        
+        expected_url = "https://us-central1-aiplatform.googleapis.com/v1/projects/test-project/locations/us-central1/publishers/google/models/test-model:predict"
+        
+        with patch.object(function, '_original_post') as mock_original_post:
+            mock_response = MagicMock()
+            mock_response.json.return_value = {"predictions": [[0.1, 0.2, 0.3]]}
+            mock_original_post.return_value = mock_response
+            
+            response = function._patched_post(typo_url, json={})
+            
+            mock_original_post.assert_called_once()
+            call_args = mock_original_post.call_args
+            assert call_args[0][0] == expected_url
+            
+    def test_embedding_call(self, embedding_function):
+        function, mock_post = embedding_function
+        
+        embeddings = function(["test text"])
+        
+        mock_post.assert_called_once()
+        
+        assert isinstance(embeddings, list)