mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-01-09 08:08:32 +00:00
feat: add custom embedding types and migrate providers
- introduce baseembeddingsprovider and helper for embedding functions - add core embedding types and migrate providers, factory, and storage modules - remove unused type aliases and fix pydantic schema error - update providers with env var support and related fixes
This commit is contained in:
Greyson LaLonde
@@ -11,7 +11,7 @@ from crewai.knowledge.storage.knowledge_storage import ( # type: ignore[import-
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@patch("crewai.knowledge.storage.knowledge_storage.get_rag_client")
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@patch("crewai.knowledge.storage.knowledge_storage.create_client")
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@patch("crewai.knowledge.storage.knowledge_storage.get_embedding_function")
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@patch("crewai.knowledge.storage.knowledge_storage.build_embedder")
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def test_knowledge_storage_uses_rag_client(
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mock_get_embedding: MagicMock,
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mock_create_client: MagicMock,
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@@ -122,7 +122,7 @@ def test_search_error_handling(mock_get_client: MagicMock) -> None:
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@patch("crewai.knowledge.storage.knowledge_storage.get_rag_client")
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@patch("crewai.knowledge.storage.knowledge_storage.get_embedding_function")
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@patch("crewai.knowledge.storage.knowledge_storage.build_embedder")
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def test_embedding_configuration_flow(
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mock_get_embedding: MagicMock, mock_get_client: MagicMock
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) -> None:
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@@ -1,83 +1,89 @@
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"""Enhanced tests for embedding function factory."""
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"""Tests for embedding function factory."""
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from unittest.mock import MagicMock, patch
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import pytest
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from pydantic import SecretStr
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from crewai.rag.embeddings.factory import ( # type: ignore[import-untyped]
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get_embedding_function,
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)
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from crewai.rag.embeddings.types import EmbeddingOptions # type: ignore[import-untyped]
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from crewai.rag.embeddings.factory import build_embedder
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def test_get_embedding_function_default() -> None:
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"""Test default embedding function when no config provided."""
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with patch("crewai.rag.embeddings.factory.OpenAIEmbeddingFunction") as mock_openai:
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mock_instance = MagicMock()
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mock_openai.return_value = mock_instance
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class TestEmbeddingFactory:
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"""Test embedding factory functions."""
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with patch(
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"crewai.rag.embeddings.factory.os.getenv", return_value="test-api-key"
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):
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result = get_embedding_function()
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@patch("crewai.rag.embeddings.factory.import_and_validate_definition")
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def test_build_embedder_openai(self, mock_import):
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"""Test building OpenAI embedder."""
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mock_provider_class = MagicMock()
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mock_provider_instance = MagicMock()
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mock_embedding_function = MagicMock()
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mock_openai.assert_called_once_with(
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api_key="test-api-key", model_name="text-embedding-3-small"
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)
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assert result == mock_instance
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def test_get_embedding_function_with_embedding_options() -> None:
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"""Test embedding function creation with EmbeddingOptions object."""
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with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
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mock_instance = MagicMock()
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mock_openai = MagicMock(return_value=mock_instance)
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mock_providers.__getitem__.return_value = mock_openai
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mock_providers.__contains__.return_value = True
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options = EmbeddingOptions(
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provider="openai",
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api_key=SecretStr("test-key"),
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model_name="text-embedding-3-large",
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)
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result = get_embedding_function(options)
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call_kwargs = mock_openai.call_args.kwargs
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assert "api_key" in call_kwargs
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assert call_kwargs["api_key"].get_secret_value() == "test-key"
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assert "model_name" in call_kwargs
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assert call_kwargs["model_name"] == "text-embedding-3-large"
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assert result == mock_instance
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def test_get_embedding_function_sentence_transformer() -> None:
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"""Test sentence transformer embedding function."""
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with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
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mock_instance = MagicMock()
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mock_st = MagicMock(return_value=mock_instance)
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mock_providers.__getitem__.return_value = mock_st
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mock_providers.__contains__.return_value = True
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mock_import.return_value = mock_provider_class
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mock_provider_class.return_value = mock_provider_instance
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mock_provider_instance.embedding_callable.return_value = mock_embedding_function
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config = {
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"provider": "sentence-transformer",
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"config": {"model_name": "all-MiniLM-L6-v2"},
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"provider": "openai",
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"config": {
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"api_key": "test-key",
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"model_name": "text-embedding-3-small",
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},
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}
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result = get_embedding_function(config)
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build_embedder(config)
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mock_st.assert_called_once_with(model_name="all-MiniLM-L6-v2")
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assert result == mock_instance
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mock_import.assert_called_once_with(
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"crewai.rag.embeddings.providers.openai.openai_provider.OpenAIProvider"
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)
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mock_provider_class.assert_called_once()
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call_kwargs = mock_provider_class.call_args.kwargs
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assert call_kwargs["api_key"] == "test-key"
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assert call_kwargs["model_name"] == "text-embedding-3-small"
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def test_get_embedding_function_ollama() -> None:
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"""Test Ollama embedding function."""
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with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
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mock_instance = MagicMock()
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mock_ollama = MagicMock(return_value=mock_instance)
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mock_providers.__getitem__.return_value = mock_ollama
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mock_providers.__contains__.return_value = True
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@patch("crewai.rag.embeddings.factory.import_and_validate_definition")
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def test_build_embedder_azure(self, mock_import):
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"""Test building Azure embedder."""
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mock_provider_class = MagicMock()
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mock_provider_instance = MagicMock()
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mock_embedding_function = MagicMock()
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mock_import.return_value = mock_provider_class
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mock_provider_class.return_value = mock_provider_instance
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mock_provider_instance.embedding_callable.return_value = mock_embedding_function
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config = {
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"provider": "azure",
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"config": {
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"api_key": "test-azure-key",
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"api_base": "https://test.openai.azure.com/",
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"api_type": "azure",
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"api_version": "2023-05-15",
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"model_name": "text-embedding-3-small",
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"deployment_id": "test-deployment",
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},
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}
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build_embedder(config)
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mock_import.assert_called_once_with(
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"crewai.rag.embeddings.providers.microsoft.azure.AzureProvider"
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)
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call_kwargs = mock_provider_class.call_args.kwargs
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assert call_kwargs["api_key"] == "test-azure-key"
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assert call_kwargs["api_base"] == "https://test.openai.azure.com/"
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assert call_kwargs["api_type"] == "azure"
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@patch("crewai.rag.embeddings.factory.import_and_validate_definition")
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def test_build_embedder_ollama(self, mock_import):
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"""Test building Ollama embedder."""
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mock_provider_class = MagicMock()
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mock_provider_instance = MagicMock()
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mock_embedding_function = MagicMock()
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mock_import.return_value = mock_provider_class
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mock_provider_class.return_value = mock_provider_instance
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mock_provider_instance.embedding_callable.return_value = mock_embedding_function
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config = {
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"provider": "ollama",
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@@ -87,512 +93,152 @@ def test_get_embedding_function_ollama() -> None:
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},
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}
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result = get_embedding_function(config)
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build_embedder(config)
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mock_ollama.assert_called_once_with(
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model_name="nomic-embed-text", url="http://localhost:11434"
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mock_import.assert_called_once_with(
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"crewai.rag.embeddings.providers.ollama.ollama_provider.OllamaProvider"
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)
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assert result == mock_instance
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@patch("crewai.rag.embeddings.factory.import_and_validate_definition")
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def test_build_embedder_cohere(self, mock_import):
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"""Test building Cohere embedder."""
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mock_provider_class = MagicMock()
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mock_provider_instance = MagicMock()
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mock_embedding_function = MagicMock()
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def test_get_embedding_function_cohere() -> None:
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"""Test Cohere embedding function."""
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with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
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mock_instance = MagicMock()
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mock_cohere = MagicMock(return_value=mock_instance)
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mock_providers.__getitem__.return_value = mock_cohere
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mock_providers.__contains__.return_value = True
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mock_import.return_value = mock_provider_class
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mock_provider_class.return_value = mock_provider_instance
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mock_provider_instance.embedding_callable.return_value = mock_embedding_function
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config = {
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"provider": "cohere",
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"config": {"api_key": "cohere-key", "model_name": "embed-english-v3.0"},
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}
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result = get_embedding_function(config)
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mock_cohere.assert_called_once_with(
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api_key="cohere-key", model_name="embed-english-v3.0"
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)
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assert result == mock_instance
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def test_get_embedding_function_huggingface() -> None:
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"""Test HuggingFace embedding function."""
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with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
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mock_instance = MagicMock()
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mock_hf = MagicMock(return_value=mock_instance)
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mock_providers.__getitem__.return_value = mock_hf
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mock_providers.__contains__.return_value = True
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config = {
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"provider": "huggingface",
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"config": {
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"api_key": "hf-token",
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"model_name": "sentence-transformers/all-MiniLM-L6-v2",
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"api_key": "cohere-key",
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"model_name": "embed-english-v3.0",
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},
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}
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result = get_embedding_function(config)
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build_embedder(config)
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mock_hf.assert_called_once_with(
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api_key="hf-token", model_name="sentence-transformers/all-MiniLM-L6-v2"
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mock_import.assert_called_once_with(
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"crewai.rag.embeddings.providers.cohere.cohere_provider.CohereProvider"
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)
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assert result == mock_instance
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@patch("crewai.rag.embeddings.factory.import_and_validate_definition")
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def test_build_embedder_voyageai(self, mock_import):
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"""Test building VoyageAI embedder."""
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mock_provider_class = MagicMock()
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mock_provider_instance = MagicMock()
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mock_embedding_function = MagicMock()
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def test_get_embedding_function_onnx() -> None:
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"""Test ONNX embedding function."""
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with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
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mock_instance = MagicMock()
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mock_onnx = MagicMock(return_value=mock_instance)
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mock_providers.__getitem__.return_value = mock_onnx
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mock_providers.__contains__.return_value = True
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mock_import.return_value = mock_provider_class
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mock_provider_class.return_value = mock_provider_instance
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mock_provider_instance.embedding_callable.return_value = mock_embedding_function
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config = {"provider": "onnx"}
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result = get_embedding_function(config)
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mock_onnx.assert_called_once()
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assert result == mock_instance
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def test_get_embedding_function_google_palm() -> None:
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"""Test Google PaLM embedding function."""
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with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
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mock_instance = MagicMock()
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mock_palm = MagicMock(return_value=mock_instance)
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mock_providers.__getitem__.return_value = mock_palm
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mock_providers.__contains__.return_value = True
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config = {"provider": "google-palm", "config": {"api_key": "palm-key"}}
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result = get_embedding_function(config)
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mock_palm.assert_called_once_with(api_key="palm-key")
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assert result == mock_instance
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def test_get_embedding_function_amazon_bedrock() -> None:
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"""Test Amazon Bedrock embedding function with explicit session."""
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with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
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mock_instance = MagicMock()
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mock_bedrock = MagicMock(return_value=mock_instance)
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mock_providers.__getitem__.return_value = mock_bedrock
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mock_providers.__contains__.return_value = True
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# Provide an explicit session to avoid boto3 import
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mock_session = MagicMock()
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config = {
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"provider": "amazon-bedrock",
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"provider": "voyageai",
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"config": {
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"session": mock_session,
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"region_name": "us-west-2",
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"model_name": "amazon.titan-embed-text-v1",
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"api_key": "voyage-key",
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"model": "voyage-2",
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},
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}
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result = get_embedding_function(config)
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build_embedder(config)
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mock_bedrock.assert_called_once_with(
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session=mock_session,
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region_name="us-west-2",
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model_name="amazon.titan-embed-text-v1",
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mock_import.assert_called_once_with(
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"crewai.rag.embeddings.providers.voyageai.voyageai_provider.VoyageAIProvider"
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)
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assert result == mock_instance
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@patch("crewai.rag.embeddings.factory.import_and_validate_definition")
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def test_build_embedder_watson(self, mock_import):
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"""Test building Watson embedder."""
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mock_provider_class = MagicMock()
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mock_provider_instance = MagicMock()
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mock_embedding_function = MagicMock()
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def test_get_embedding_function_jina() -> None:
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"""Test Jina embedding function."""
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with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
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mock_instance = MagicMock()
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mock_jina = MagicMock(return_value=mock_instance)
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mock_providers.__getitem__.return_value = mock_jina
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mock_providers.__contains__.return_value = True
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mock_import.return_value = mock_provider_class
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mock_provider_class.return_value = mock_provider_instance
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mock_provider_instance.embedding_callable.return_value = mock_embedding_function
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config = {
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"provider": "jina",
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"provider": "watson",
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"config": {
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"api_key": "jina-key",
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"model_name": "jina-embeddings-v2-base-en",
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"model_id": "ibm/slate-125m-english-rtrvr",
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"api_key": "watson-key",
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"url": "https://us-south.ml.cloud.ibm.com",
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"project_id": "test-project",
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},
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}
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result = get_embedding_function(config)
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build_embedder(config)
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mock_jina.assert_called_once_with(
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api_key="jina-key", model_name="jina-embeddings-v2-base-en"
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)
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assert result == mock_instance
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def test_get_embedding_function_unsupported_provider() -> None:
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"""Test handling of unsupported provider."""
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config = {"provider": "unsupported-provider"}
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with pytest.raises(ValueError, match="Unsupported provider: unsupported-provider"):
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get_embedding_function(config)
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def test_get_embedding_function_config_modification() -> None:
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"""Test that original config dict is not modified."""
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original_config = {
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"provider": "openai",
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"config": {"api_key": "test-key", "model": "text-embedding-3-small"},
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}
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config_copy = original_config.copy()
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|
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with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
|
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mock_instance = MagicMock()
|
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mock_openai = MagicMock(return_value=mock_instance)
|
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mock_providers.__getitem__.return_value = mock_openai
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mock_providers.__contains__.return_value = True
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get_embedding_function(config_copy)
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assert config_copy == original_config
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def test_get_embedding_function_exclude_none_values() -> None:
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"""Test that None values are excluded from embedding function calls."""
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with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
|
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mock_instance = MagicMock()
|
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mock_openai = MagicMock(return_value=mock_instance)
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mock_providers.__getitem__.return_value = mock_openai
|
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mock_providers.__contains__.return_value = True
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|
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options = EmbeddingOptions(
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provider="openai", api_key=SecretStr("test-key"), model_name=None
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mock_import.assert_called_once_with(
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"crewai.rag.embeddings.providers.ibm.watson.WatsonProvider"
|
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)
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result = get_embedding_function(options)
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def test_build_embedder_unknown_provider(self):
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"""Test error handling for unknown provider."""
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config = {"provider": "unknown-provider", "config": {}}
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call_kwargs = mock_openai.call_args.kwargs
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assert "api_key" in call_kwargs
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assert call_kwargs["api_key"].get_secret_value() == "test-key"
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assert "model_name" not in call_kwargs
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assert result == mock_instance
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with pytest.raises(ValueError, match="Unknown provider: unknown-provider"):
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build_embedder(config)
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|
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def test_build_embedder_missing_provider(self):
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"""Test error handling for missing provider key."""
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config = {"config": {"api_key": "test-key"}}
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def test_get_embedding_function_instructor() -> None:
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"""Test Instructor embedding function."""
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with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
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mock_instance = MagicMock()
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mock_instructor = MagicMock(return_value=mock_instance)
|
||||
mock_providers.__getitem__.return_value = mock_instructor
|
||||
mock_providers.__contains__.return_value = True
|
||||
with pytest.raises(KeyError):
|
||||
build_embedder(config)
|
||||
|
||||
@patch("crewai.rag.embeddings.factory.import_and_validate_definition")
|
||||
def test_build_embedder_import_error(self, mock_import):
|
||||
"""Test error handling when provider import fails."""
|
||||
mock_import.side_effect = ImportError("Module not found")
|
||||
|
||||
config = {"provider": "openai", "config": {"api_key": "test-key"}}
|
||||
|
||||
with pytest.raises(ImportError, match="Failed to import provider openai"):
|
||||
build_embedder(config)
|
||||
|
||||
@patch("crewai.rag.embeddings.factory.import_and_validate_definition")
|
||||
def test_build_embedder_custom_provider(self, mock_import):
|
||||
"""Test building custom embedder."""
|
||||
mock_provider_class = MagicMock()
|
||||
mock_provider_instance = MagicMock()
|
||||
mock_embedding_callable = MagicMock()
|
||||
|
||||
mock_import.return_value = mock_provider_class
|
||||
mock_provider_class.return_value = mock_provider_instance
|
||||
mock_provider_instance.embedding_callable = mock_embedding_callable
|
||||
|
||||
config = {
|
||||
"provider": "instructor",
|
||||
"config": {"model_name": "hkunlp/instructor-large"},
|
||||
"provider": "custom",
|
||||
"config": {"embedding_callable": mock_embedding_callable},
|
||||
}
|
||||
|
||||
result = get_embedding_function(config)
|
||||
build_embedder(config)
|
||||
|
||||
mock_instructor.assert_called_once_with(model_name="hkunlp/instructor-large")
|
||||
assert result == mock_instance
|
||||
|
||||
|
||||
def test_get_embedding_function_google_generativeai() -> None:
|
||||
"""Test Google Generative AI embedding function."""
|
||||
with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
|
||||
mock_instance = MagicMock()
|
||||
mock_google = MagicMock(return_value=mock_instance)
|
||||
mock_providers.__getitem__.return_value = mock_google
|
||||
mock_providers.__contains__.return_value = True
|
||||
|
||||
config = {
|
||||
"provider": "google-generativeai",
|
||||
"config": {"api_key": "google-key", "model_name": "models/embedding-001"},
|
||||
}
|
||||
|
||||
result = get_embedding_function(config)
|
||||
|
||||
mock_google.assert_called_once_with(
|
||||
api_key="google-key", model_name="models/embedding-001"
|
||||
mock_import.assert_called_once_with(
|
||||
"crewai.rag.embeddings.providers.custom.custom_provider.CustomProvider"
|
||||
)
|
||||
assert result == mock_instance
|
||||
|
||||
call_kwargs = mock_provider_class.call_args.kwargs
|
||||
assert call_kwargs["embedding_callable"] == mock_embedding_callable
|
||||
|
||||
def test_get_embedding_function_google_vertex() -> None:
|
||||
"""Test Google Vertex AI embedding function."""
|
||||
with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
|
||||
mock_instance = MagicMock()
|
||||
mock_vertex = MagicMock(return_value=mock_instance)
|
||||
mock_providers.__getitem__.return_value = mock_vertex
|
||||
mock_providers.__contains__.return_value = True
|
||||
@patch("crewai.rag.embeddings.factory.import_and_validate_definition")
|
||||
@patch("crewai.rag.embeddings.factory.build_embedder_from_provider")
|
||||
def test_build_embedder_with_provider_instance(
|
||||
self, mock_build_from_provider, mock_import
|
||||
):
|
||||
"""Test building embedder from provider instance."""
|
||||
from crewai.rag.core.base_embeddings_provider import BaseEmbeddingsProvider
|
||||
|
||||
config = {
|
||||
"provider": "google-vertex",
|
||||
"config": {
|
||||
"api_key": "vertex-key",
|
||||
"project_id": "my-project",
|
||||
"region": "us-central1",
|
||||
},
|
||||
}
|
||||
mock_provider = MagicMock(spec=BaseEmbeddingsProvider)
|
||||
mock_embedding_function = MagicMock()
|
||||
mock_build_from_provider.return_value = mock_embedding_function
|
||||
|
||||
result = get_embedding_function(config)
|
||||
result = build_embedder(mock_provider)
|
||||
|
||||
mock_vertex.assert_called_once_with(
|
||||
api_key="vertex-key", project_id="my-project", region="us-central1"
|
||||
)
|
||||
assert result == mock_instance
|
||||
|
||||
|
||||
def test_get_embedding_function_roboflow() -> None:
|
||||
"""Test Roboflow embedding function."""
|
||||
with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
|
||||
mock_instance = MagicMock()
|
||||
mock_roboflow = MagicMock(return_value=mock_instance)
|
||||
mock_providers.__getitem__.return_value = mock_roboflow
|
||||
mock_providers.__contains__.return_value = True
|
||||
|
||||
config = {
|
||||
"provider": "roboflow",
|
||||
"config": {
|
||||
"api_key": "roboflow-key",
|
||||
"api_url": "https://infer.roboflow.com",
|
||||
},
|
||||
}
|
||||
|
||||
result = get_embedding_function(config)
|
||||
|
||||
mock_roboflow.assert_called_once_with(
|
||||
api_key="roboflow-key", api_url="https://infer.roboflow.com"
|
||||
)
|
||||
assert result == mock_instance
|
||||
|
||||
|
||||
def test_get_embedding_function_openclip() -> None:
|
||||
"""Test OpenCLIP embedding function."""
|
||||
with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
|
||||
mock_instance = MagicMock()
|
||||
mock_openclip = MagicMock(return_value=mock_instance)
|
||||
mock_providers.__getitem__.return_value = mock_openclip
|
||||
mock_providers.__contains__.return_value = True
|
||||
|
||||
config = {
|
||||
"provider": "openclip",
|
||||
"config": {"model_name": "ViT-B-32", "checkpoint": "laion2b_s34b_b79k"},
|
||||
}
|
||||
|
||||
result = get_embedding_function(config)
|
||||
|
||||
mock_openclip.assert_called_once_with(
|
||||
model_name="ViT-B-32", checkpoint="laion2b_s34b_b79k"
|
||||
)
|
||||
assert result == mock_instance
|
||||
|
||||
|
||||
def test_get_embedding_function_text2vec() -> None:
|
||||
"""Test Text2Vec embedding function."""
|
||||
with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
|
||||
mock_instance = MagicMock()
|
||||
mock_text2vec = MagicMock(return_value=mock_instance)
|
||||
mock_providers.__getitem__.return_value = mock_text2vec
|
||||
mock_providers.__contains__.return_value = True
|
||||
|
||||
config = {
|
||||
"provider": "text2vec",
|
||||
"config": {"model_name": "shibing624/text2vec-base-chinese"},
|
||||
}
|
||||
|
||||
result = get_embedding_function(config)
|
||||
|
||||
mock_text2vec.assert_called_once_with(
|
||||
model_name="shibing624/text2vec-base-chinese"
|
||||
)
|
||||
assert result == mock_instance
|
||||
|
||||
|
||||
def test_model_to_model_name_conversion() -> None:
|
||||
"""Test that 'model' field is converted to 'model_name' for nested config."""
|
||||
with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
|
||||
mock_instance = MagicMock()
|
||||
mock_openai = MagicMock(return_value=mock_instance)
|
||||
mock_providers.__getitem__.return_value = mock_openai
|
||||
mock_providers.__contains__.return_value = True
|
||||
|
||||
config = {
|
||||
"provider": "openai",
|
||||
"config": {"api_key": "test-key", "model": "text-embedding-3-small"},
|
||||
}
|
||||
|
||||
result = get_embedding_function(config)
|
||||
|
||||
mock_openai.assert_called_once_with(
|
||||
api_key="test-key", model_name="text-embedding-3-small"
|
||||
)
|
||||
assert result == mock_instance
|
||||
|
||||
|
||||
def test_api_key_injection_from_env_openai() -> None:
|
||||
"""Test that OpenAI API key is injected from environment when not provided."""
|
||||
with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
|
||||
mock_instance = MagicMock()
|
||||
mock_openai = MagicMock(return_value=mock_instance)
|
||||
mock_providers.__getitem__.return_value = mock_openai
|
||||
mock_providers.__contains__.return_value = True
|
||||
|
||||
with patch("crewai.rag.embeddings.factory.os.getenv") as mock_getenv:
|
||||
mock_getenv.return_value = "env-openai-key"
|
||||
|
||||
config = {
|
||||
"provider": "openai",
|
||||
"config": {"model": "text-embedding-3-small"},
|
||||
}
|
||||
|
||||
result = get_embedding_function(config)
|
||||
|
||||
mock_getenv.assert_called_with("OPENAI_API_KEY")
|
||||
mock_openai.assert_called_once_with(
|
||||
api_key="env-openai-key", model_name="text-embedding-3-small"
|
||||
)
|
||||
assert result == mock_instance
|
||||
|
||||
|
||||
def test_api_key_injection_from_env_cohere() -> None:
|
||||
"""Test that Cohere API key is injected from environment when not provided."""
|
||||
with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
|
||||
mock_instance = MagicMock()
|
||||
mock_cohere = MagicMock(return_value=mock_instance)
|
||||
mock_providers.__getitem__.return_value = mock_cohere
|
||||
mock_providers.__contains__.return_value = True
|
||||
|
||||
with patch("crewai.rag.embeddings.factory.os.getenv") as mock_getenv:
|
||||
mock_getenv.return_value = "env-cohere-key"
|
||||
|
||||
config = {
|
||||
"provider": "cohere",
|
||||
"config": {"model_name": "embed-english-v3.0"},
|
||||
}
|
||||
|
||||
result = get_embedding_function(config)
|
||||
|
||||
mock_getenv.assert_called_with("COHERE_API_KEY")
|
||||
mock_cohere.assert_called_once_with(
|
||||
api_key="env-cohere-key", model_name="embed-english-v3.0"
|
||||
)
|
||||
assert result == mock_instance
|
||||
|
||||
|
||||
def test_api_key_not_injected_when_provided() -> None:
|
||||
"""Test that API key from config takes precedence over environment."""
|
||||
with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
|
||||
mock_instance = MagicMock()
|
||||
mock_openai = MagicMock(return_value=mock_instance)
|
||||
mock_providers.__getitem__.return_value = mock_openai
|
||||
mock_providers.__contains__.return_value = True
|
||||
|
||||
with patch("crewai.rag.embeddings.factory.os.getenv") as mock_getenv:
|
||||
mock_getenv.return_value = "env-key"
|
||||
|
||||
config = {
|
||||
"provider": "openai",
|
||||
"config": {"api_key": "config-key", "model": "text-embedding-3-small"},
|
||||
}
|
||||
|
||||
result = get_embedding_function(config)
|
||||
|
||||
mock_openai.assert_called_once_with(
|
||||
api_key="config-key", model_name="text-embedding-3-small"
|
||||
)
|
||||
assert result == mock_instance
|
||||
|
||||
|
||||
def test_amazon_bedrock_session_injection() -> None:
|
||||
"""Test that boto3 session is automatically created for amazon-bedrock."""
|
||||
with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
|
||||
mock_instance = MagicMock()
|
||||
mock_bedrock = MagicMock(return_value=mock_instance)
|
||||
mock_providers.__getitem__.return_value = mock_bedrock
|
||||
mock_providers.__contains__.return_value = True
|
||||
|
||||
mock_boto3 = MagicMock()
|
||||
with patch.dict("sys.modules", {"boto3": mock_boto3}):
|
||||
mock_session = MagicMock()
|
||||
mock_boto3.Session.return_value = mock_session
|
||||
|
||||
config = {
|
||||
"provider": "amazon-bedrock",
|
||||
"config": {"model_name": "amazon.titan-embed-text-v1"},
|
||||
}
|
||||
|
||||
result = get_embedding_function(config)
|
||||
|
||||
mock_boto3.Session.assert_called_once()
|
||||
mock_bedrock.assert_called_once_with(
|
||||
session=mock_session, model_name="amazon.titan-embed-text-v1"
|
||||
)
|
||||
assert result == mock_instance
|
||||
|
||||
|
||||
def test_amazon_bedrock_session_not_injected_when_provided() -> None:
|
||||
"""Test that provided session is used for amazon-bedrock."""
|
||||
with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
|
||||
mock_instance = MagicMock()
|
||||
mock_bedrock = MagicMock(return_value=mock_instance)
|
||||
mock_providers.__getitem__.return_value = mock_bedrock
|
||||
mock_providers.__contains__.return_value = True
|
||||
|
||||
existing_session = MagicMock()
|
||||
config = {
|
||||
"provider": "amazon-bedrock",
|
||||
"config": {
|
||||
"session": existing_session,
|
||||
"model_name": "amazon.titan-embed-text-v1",
|
||||
},
|
||||
}
|
||||
|
||||
result = get_embedding_function(config)
|
||||
|
||||
mock_bedrock.assert_called_once_with(
|
||||
session=existing_session, model_name="amazon.titan-embed-text-v1"
|
||||
)
|
||||
assert result == mock_instance
|
||||
|
||||
|
||||
def test_amazon_bedrock_boto3_import_error() -> None:
|
||||
"""Test error handling when boto3 is not installed."""
|
||||
with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
|
||||
mock_providers.__contains__.return_value = True
|
||||
|
||||
with patch.dict("sys.modules", {"boto3": None}):
|
||||
config = {
|
||||
"provider": "amazon-bedrock",
|
||||
"config": {"model_name": "amazon.titan-embed-text-v1"},
|
||||
}
|
||||
|
||||
with pytest.raises(
|
||||
ImportError, match="boto3 is required for amazon-bedrock"
|
||||
):
|
||||
get_embedding_function(config)
|
||||
|
||||
|
||||
def test_amazon_bedrock_session_creation_error() -> None:
|
||||
"""Test error handling when AWS session creation fails."""
|
||||
with patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS") as mock_providers:
|
||||
mock_providers.__contains__.return_value = True
|
||||
|
||||
mock_boto3 = MagicMock()
|
||||
with patch.dict("sys.modules", {"boto3": mock_boto3}):
|
||||
mock_boto3.Session.side_effect = Exception("AWS credentials not configured")
|
||||
|
||||
config = {
|
||||
"provider": "amazon-bedrock",
|
||||
"config": {"model_name": "amazon.titan-embed-text-v1"},
|
||||
}
|
||||
|
||||
with pytest.raises(ValueError, match="Failed to create AWS session"):
|
||||
get_embedding_function(config)
|
||||
|
||||
|
||||
def test_invalid_config_format() -> None:
|
||||
"""Test error handling for invalid config format."""
|
||||
config = {
|
||||
"provider": "openai",
|
||||
"api_key": "test-key",
|
||||
"model": "text-embedding-3-small",
|
||||
}
|
||||
|
||||
with pytest.raises(ValueError, match="Invalid embedder configuration format"):
|
||||
get_embedding_function(config)
|
||||
mock_build_from_provider.assert_called_once_with(mock_provider)
|
||||
assert result == mock_embedding_function
|
||||
mock_import.assert_not_called()
|
||||
|
||||
@@ -4,76 +4,119 @@ from unittest.mock import MagicMock, patch
|
||||
|
||||
import pytest
|
||||
|
||||
from crewai.rag.embeddings.factory import EmbedderConfig, get_embedding_function
|
||||
from crewai.rag.embeddings.factory import build_embedder
|
||||
|
||||
|
||||
class TestAzureEmbedderFactory:
|
||||
"""Test Azure embedder configuration with factory function."""
|
||||
|
||||
@patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS")
|
||||
def test_azure_with_nested_config(self, mock_providers):
|
||||
@patch("crewai.rag.embeddings.factory.import_and_validate_definition")
|
||||
def test_azure_with_nested_config(self, mock_import):
|
||||
"""Test Azure configuration with nested config key."""
|
||||
mock_provider_class = MagicMock()
|
||||
mock_provider_instance = MagicMock()
|
||||
mock_embedding_function = MagicMock()
|
||||
|
||||
mock_embedding = MagicMock()
|
||||
mock_openai_func = MagicMock(return_value=mock_embedding)
|
||||
mock_providers.__getitem__.return_value = mock_openai_func
|
||||
mock_providers.__contains__.return_value = True
|
||||
mock_import.return_value = mock_provider_class
|
||||
mock_provider_class.return_value = mock_provider_instance
|
||||
mock_provider_instance.embedding_callable.return_value = mock_embedding_function
|
||||
|
||||
embedder_config = EmbedderConfig(
|
||||
provider="openai",
|
||||
config={
|
||||
embedder_config = {
|
||||
"provider": "azure",
|
||||
"config": {
|
||||
"api_key": "test-azure-key",
|
||||
"api_base": "https://test.openai.azure.com/",
|
||||
"api_type": "azure",
|
||||
"api_version": "2023-05-15",
|
||||
"model": "text-embedding-3-small",
|
||||
"model_name": "text-embedding-3-small",
|
||||
"deployment_id": "test-deployment",
|
||||
},
|
||||
)
|
||||
|
||||
result = get_embedding_function(embedder_config)
|
||||
|
||||
mock_openai_func.assert_called_once_with(
|
||||
api_key="test-azure-key",
|
||||
api_base="https://test.openai.azure.com/",
|
||||
api_type="azure",
|
||||
api_version="2023-05-15",
|
||||
model_name="text-embedding-3-small",
|
||||
deployment_id="test-deployment",
|
||||
)
|
||||
assert result == mock_embedding
|
||||
|
||||
@patch("crewai.rag.embeddings.factory.EMBEDDING_PROVIDERS")
|
||||
def test_regular_openai_with_nested_config(self, mock_providers):
|
||||
"""Test regular OpenAI configuration with nested config."""
|
||||
|
||||
mock_embedding = MagicMock()
|
||||
mock_openai_func = MagicMock(return_value=mock_embedding)
|
||||
mock_providers.__getitem__.return_value = mock_openai_func
|
||||
mock_providers.__contains__.return_value = True
|
||||
|
||||
embedder_config = EmbedderConfig(
|
||||
provider="openai",
|
||||
config={"api_key": "test-openai-key", "model": "text-embedding-3-large"},
|
||||
)
|
||||
|
||||
result = get_embedding_function(embedder_config)
|
||||
|
||||
mock_openai_func.assert_called_once_with(
|
||||
api_key="test-openai-key", model_name="text-embedding-3-large"
|
||||
)
|
||||
assert result == mock_embedding
|
||||
|
||||
def test_flat_format_raises_error(self):
|
||||
"""Test that flat format raises an error."""
|
||||
embedder_config = {
|
||||
"provider": "openai",
|
||||
"api_key": "test-key",
|
||||
"model_name": "text-embedding-3-small",
|
||||
}
|
||||
|
||||
with pytest.raises(ValueError) as exc_info:
|
||||
get_embedding_function(embedder_config)
|
||||
result = build_embedder(embedder_config)
|
||||
|
||||
assert "Invalid embedder configuration format" in str(exc_info.value)
|
||||
assert "nested under a 'config' key" in str(exc_info.value)
|
||||
mock_import.assert_called_once_with(
|
||||
"crewai.rag.embeddings.providers.microsoft.azure.AzureProvider"
|
||||
)
|
||||
|
||||
call_kwargs = mock_provider_class.call_args.kwargs
|
||||
assert call_kwargs["api_key"] == "test-azure-key"
|
||||
assert call_kwargs["api_base"] == "https://test.openai.azure.com/"
|
||||
assert call_kwargs["api_type"] == "azure"
|
||||
assert call_kwargs["api_version"] == "2023-05-15"
|
||||
assert call_kwargs["model_name"] == "text-embedding-3-small"
|
||||
assert call_kwargs["deployment_id"] == "test-deployment"
|
||||
|
||||
assert result == mock_embedding_function
|
||||
|
||||
@patch("crewai.rag.embeddings.factory.import_and_validate_definition")
|
||||
def test_regular_openai_with_nested_config(self, mock_import):
|
||||
"""Test regular OpenAI configuration with nested config."""
|
||||
mock_provider_class = MagicMock()
|
||||
mock_provider_instance = MagicMock()
|
||||
mock_embedding_function = MagicMock()
|
||||
|
||||
mock_import.return_value = mock_provider_class
|
||||
mock_provider_class.return_value = mock_provider_instance
|
||||
mock_provider_instance.embedding_callable.return_value = mock_embedding_function
|
||||
|
||||
embedder_config = {
|
||||
"provider": "openai",
|
||||
"config": {"api_key": "test-openai-key", "model": "text-embedding-3-large"},
|
||||
}
|
||||
|
||||
result = build_embedder(embedder_config)
|
||||
|
||||
mock_import.assert_called_once_with(
|
||||
"crewai.rag.embeddings.providers.openai.openai_provider.OpenAIProvider"
|
||||
)
|
||||
|
||||
call_kwargs = mock_provider_class.call_args.kwargs
|
||||
assert call_kwargs["api_key"] == "test-openai-key"
|
||||
assert call_kwargs["model"] == "text-embedding-3-large"
|
||||
|
||||
assert result == mock_embedding_function
|
||||
|
||||
@patch("crewai.rag.embeddings.factory.import_and_validate_definition")
|
||||
def test_azure_provider_with_minimal_config(self, mock_import):
|
||||
"""Test Azure provider with minimal required configuration."""
|
||||
mock_provider_class = MagicMock()
|
||||
mock_provider_instance = MagicMock()
|
||||
mock_embedding_function = MagicMock()
|
||||
|
||||
mock_import.return_value = mock_provider_class
|
||||
mock_provider_class.return_value = mock_provider_instance
|
||||
mock_provider_instance.embedding_callable.return_value = mock_embedding_function
|
||||
|
||||
embedder_config = {
|
||||
"provider": "azure",
|
||||
"config": {
|
||||
"api_key": "test-key",
|
||||
"api_base": "https://test.openai.azure.com/",
|
||||
},
|
||||
}
|
||||
|
||||
build_embedder(embedder_config)
|
||||
|
||||
mock_import.assert_called_once_with(
|
||||
"crewai.rag.embeddings.providers.microsoft.azure.AzureProvider"
|
||||
)
|
||||
|
||||
call_kwargs = mock_provider_class.call_args.kwargs
|
||||
assert call_kwargs["api_key"] == "test-key"
|
||||
assert call_kwargs["api_base"] == "https://test.openai.azure.com/"
|
||||
|
||||
@patch("crewai.rag.embeddings.factory.import_and_validate_definition")
|
||||
def test_azure_import_error(self, mock_import):
|
||||
"""Test handling of import errors for Azure provider."""
|
||||
mock_import.side_effect = ImportError("Failed to import Azure provider")
|
||||
|
||||
embedder_config = {
|
||||
"provider": "azure",
|
||||
"config": {"api_key": "test-key"},
|
||||
}
|
||||
|
||||
with pytest.raises(ImportError) as exc_info:
|
||||
build_embedder(embedder_config)
|
||||
|
||||
assert "Failed to import provider azure" in str(exc_info.value)
|
||||
|
||||
@@ -55,7 +55,7 @@ def test_knowledge_storage_invalid_embedding_config(mock_get_client: MagicMock)
|
||||
mock_get_client.return_value = MagicMock()
|
||||
|
||||
with patch(
|
||||
"crewai.knowledge.storage.knowledge_storage.get_embedding_function"
|
||||
"crewai.knowledge.storage.knowledge_storage.build_embedder"
|
||||
) as mock_get_embedding:
|
||||
mock_get_embedding.side_effect = ValueError(
|
||||
"Unsupported provider: invalid_provider"
|
||||
|
||||
@@ -1,82 +0,0 @@
|
||||
"""Test Azure embedder configuration with nested format only."""
|
||||
|
||||
from unittest.mock import MagicMock, patch
|
||||
|
||||
from crewai.rag.embeddings.configurator import EmbeddingConfigurator
|
||||
|
||||
|
||||
class TestAzureEmbedderConfiguration:
|
||||
"""Test Azure embedder configuration with nested format."""
|
||||
|
||||
@patch(
|
||||
"chromadb.utils.embedding_functions.openai_embedding_function.OpenAIEmbeddingFunction"
|
||||
)
|
||||
def test_azure_openai_with_nested_config(self, mock_openai_func):
|
||||
"""Test Azure configuration using OpenAI provider with nested config key."""
|
||||
mock_embedding = MagicMock()
|
||||
mock_openai_func.return_value = mock_embedding
|
||||
|
||||
configurator = EmbeddingConfigurator()
|
||||
|
||||
embedder_config = {
|
||||
"provider": "openai",
|
||||
"config": {
|
||||
"api_key": "test-azure-key",
|
||||
"api_base": "https://test.openai.azure.com/",
|
||||
"api_type": "azure",
|
||||
"api_version": "2023-05-15",
|
||||
"model": "text-embedding-3-small",
|
||||
"deployment_id": "test-deployment",
|
||||
},
|
||||
}
|
||||
|
||||
result = configurator.configure_embedder(embedder_config)
|
||||
|
||||
mock_openai_func.assert_called_once_with(
|
||||
api_key="test-azure-key",
|
||||
model_name="text-embedding-3-small",
|
||||
api_base="https://test.openai.azure.com/",
|
||||
api_type="azure",
|
||||
api_version="2023-05-15",
|
||||
default_headers=None,
|
||||
dimensions=None,
|
||||
deployment_id="test-deployment",
|
||||
organization_id=None,
|
||||
)
|
||||
assert result == mock_embedding
|
||||
|
||||
@patch(
|
||||
"chromadb.utils.embedding_functions.openai_embedding_function.OpenAIEmbeddingFunction"
|
||||
)
|
||||
def test_azure_provider_with_nested_config(self, mock_openai_func):
|
||||
"""Test using 'azure' as provider with nested config."""
|
||||
mock_embedding = MagicMock()
|
||||
mock_openai_func.return_value = mock_embedding
|
||||
|
||||
configurator = EmbeddingConfigurator()
|
||||
|
||||
embedder_config = {
|
||||
"provider": "azure",
|
||||
"config": {
|
||||
"api_key": "test-azure-key",
|
||||
"api_base": "https://test.openai.azure.com/",
|
||||
"api_version": "2023-05-15",
|
||||
"model": "text-embedding-3-small",
|
||||
"deployment_id": "test-deployment",
|
||||
},
|
||||
}
|
||||
|
||||
result = configurator.configure_embedder(embedder_config)
|
||||
|
||||
mock_openai_func.assert_called_once_with(
|
||||
api_key="test-azure-key",
|
||||
api_base="https://test.openai.azure.com/",
|
||||
api_type="azure",
|
||||
api_version="2023-05-15",
|
||||
model_name="text-embedding-3-small",
|
||||
default_headers=None,
|
||||
dimensions=None,
|
||||
deployment_id="test-deployment",
|
||||
organization_id=None,
|
||||
)
|
||||
assert result == mock_embedding
|
||||
@@ -1,25 +0,0 @@
|
||||
from unittest.mock import patch
|
||||
|
||||
import pytest
|
||||
|
||||
from crewai.rag.embeddings.configurator import EmbeddingConfigurator
|
||||
|
||||
|
||||
def test_configure_embedder_importerror():
|
||||
configurator = EmbeddingConfigurator()
|
||||
|
||||
embedder_config = {
|
||||
'provider': 'openai',
|
||||
'config': {
|
||||
'model': 'text-embedding-ada-002',
|
||||
}
|
||||
}
|
||||
|
||||
with patch('chromadb.utils.embedding_functions.openai_embedding_function.OpenAIEmbeddingFunction') as mock_openai:
|
||||
mock_openai.side_effect = ImportError("Module not found.")
|
||||
|
||||
with pytest.raises(ImportError) as exc_info:
|
||||
configurator.configure_embedder(embedder_config)
|
||||
|
||||
assert str(exc_info.value) == "Module not found."
|
||||
mock_openai.assert_called_once()
|
||||
Reference in New Issue
Block a user