mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-01-09 16:18:30 +00:00
a928cde6ee
* fix: ensure config is not flattened, add tests * chore: refactor inits to model_validator * chore: refactor rag tool config parsing * chore: add initial docs * chore: add additional validation aliases for provider env vars * chore: add solid docs * chore: move imports to top * fix: revert circular import * fix: lazy import qdrant-client * fix: allow collection name config * chore: narrow model names for google * chore: update additional docs * chore: add backward compat on model name aliases * chore: add tests for config changes
104 lines
3.5 KiB
Python
104 lines
3.5 KiB
Python
from unittest.mock import MagicMock, Mock, patch
|
|
|
|
from crewai_tools.adapters.crewai_rag_adapter import CrewAIRagAdapter
|
|
from crewai_tools.tools.txt_search_tool.txt_search_tool import TXTSearchTool
|
|
|
|
|
|
@patch("crewai_tools.adapters.crewai_rag_adapter.create_client")
|
|
def test_txt_search_tool_with_azure_config_without_env_vars(
|
|
mock_create_client: Mock,
|
|
) -> None:
|
|
"""Test TXTSearchTool accepts Azure config without requiring env vars."""
|
|
mock_embedding_func = MagicMock()
|
|
mock_embedding_func.return_value = [[0.1] * 1536]
|
|
|
|
mock_client = MagicMock()
|
|
mock_client.get_or_create_collection = MagicMock(return_value=None)
|
|
mock_create_client.return_value = mock_client
|
|
|
|
with patch(
|
|
"crewai_tools.tools.rag.rag_tool.build_embedder",
|
|
return_value=mock_embedding_func,
|
|
):
|
|
config = {
|
|
"embedding_model": {
|
|
"provider": "azure",
|
|
"config": {
|
|
"model": "text-embedding-3-small",
|
|
"api_key": "test-api-key",
|
|
"api_base": "https://test.openai.azure.com/",
|
|
"api_version": "2024-02-01",
|
|
"api_type": "azure",
|
|
"deployment_id": "test-deployment",
|
|
},
|
|
}
|
|
}
|
|
|
|
# This should not raise a validation error about missing env vars
|
|
tool = TXTSearchTool(config=config)
|
|
|
|
assert tool.adapter is not None
|
|
assert isinstance(tool.adapter, CrewAIRagAdapter)
|
|
assert tool.name == "Search a txt's content"
|
|
|
|
|
|
@patch("crewai_tools.adapters.crewai_rag_adapter.create_client")
|
|
def test_txt_search_tool_with_openai_config_without_env_vars(
|
|
mock_create_client: Mock,
|
|
) -> None:
|
|
"""Test TXTSearchTool accepts OpenAI config without requiring env vars."""
|
|
mock_embedding_func = MagicMock()
|
|
mock_embedding_func.return_value = [[0.1] * 1536]
|
|
|
|
mock_client = MagicMock()
|
|
mock_client.get_or_create_collection = MagicMock(return_value=None)
|
|
mock_create_client.return_value = mock_client
|
|
|
|
with patch(
|
|
"crewai_tools.tools.rag.rag_tool.build_embedder",
|
|
return_value=mock_embedding_func,
|
|
):
|
|
config = {
|
|
"embedding_model": {
|
|
"provider": "openai",
|
|
"config": {
|
|
"model": "text-embedding-3-small",
|
|
"api_key": "sk-test123",
|
|
},
|
|
}
|
|
}
|
|
|
|
tool = TXTSearchTool(config=config)
|
|
|
|
assert tool.adapter is not None
|
|
assert isinstance(tool.adapter, CrewAIRagAdapter)
|
|
|
|
|
|
@patch("crewai_tools.adapters.crewai_rag_adapter.create_client")
|
|
def test_txt_search_tool_with_cohere_config(mock_create_client: Mock) -> None:
|
|
"""Test TXTSearchTool with Cohere embedding provider."""
|
|
mock_embedding_func = MagicMock()
|
|
mock_embedding_func.return_value = [[0.1] * 1024]
|
|
|
|
mock_client = MagicMock()
|
|
mock_client.get_or_create_collection = MagicMock(return_value=None)
|
|
mock_create_client.return_value = mock_client
|
|
|
|
with patch(
|
|
"crewai_tools.tools.rag.rag_tool.build_embedder",
|
|
return_value=mock_embedding_func,
|
|
):
|
|
config = {
|
|
"embedding_model": {
|
|
"provider": "cohere",
|
|
"config": {
|
|
"model": "embed-english-v3.0",
|
|
"api_key": "test-cohere-key",
|
|
},
|
|
}
|
|
}
|
|
|
|
tool = TXTSearchTool(config=config)
|
|
|
|
assert tool.adapter is not None
|
|
assert isinstance(tool.adapter, CrewAIRagAdapter) |