Fix Google AI Studio embedder initialization error handling

Co-Authored-By: Joe Moura <joao@crewai.com>
This commit is contained in:
Devin AI
2025-02-28 17:16:35 +00:00
parent 86825e1769
commit 7f89aeef84
2 changed files with 64 additions and 0 deletions

View File

@@ -314,6 +314,19 @@ class Crew(BaseModel):
collection_name="crew",
)
except ValueError as e:
# Check if the error is related to missing google-generativeai package
if "The Google Generative AI python package is not installed" in str(e):
self._logger.log(
"error",
"Google AI Studio embedder requires the google-generativeai package. "
"Please install it with `pip install google-generativeai`",
color="red",
)
else:
self._logger.log(
"warning", f"Failed to init knowledge: {e}", color="yellow"
)
except Exception as e:
self._logger.log(
"warning", f"Failed to init knowledge: {e}", color="yellow"

View File

@@ -0,0 +1,51 @@
import pytest
from unittest.mock import patch, MagicMock
from crewai import Crew, Agent, Task
from crewai.knowledge.source.json_knowledge_source import JSONKnowledgeSource
def test_google_embedder_missing_package():
"""Test that a helpful error message is displayed when google-generativeai is not installed."""
# Create a simple agent and task
agent = Agent(
role="Test Agent",
goal="Test the knowledge component",
backstory="I am a test agent",
)
task = Task(
description="Test task",
expected_output="Test output",
agent=agent,
)
# Create a mock JSONKnowledgeSource
json_knowledge_source = MagicMock(spec=JSONKnowledgeSource)
# Mock the GoogleGenerativeAiEmbeddingFunction to raise the import error
with patch("chromadb.utils.embedding_functions.google_embedding_function.GoogleGenerativeAiEmbeddingFunction.__init__") as mock_init:
mock_init.side_effect = ValueError("The Google Generative AI python package is not installed. Please install it with `pip install google-generativeai`")
# Mock the logger to capture the error message
with patch("crewai.utilities.logger.Logger.log") as mock_log:
# Create a crew with Google embedder
crew = Crew(
agents=[agent],
tasks=[task],
verbose=True,
knowledge_sources=[json_knowledge_source],
embedder={
"provider": "google",
"config": {
"api_key": "fake-api-key",
"model": 'models/embedding-001'
}
}
)
# Verify that the error message was logged correctly
mock_log.assert_any_call(
"error",
"Google AI Studio embedder requires the google-generativeai package. "
"Please install it with `pip install google-generativeai`",
color="red"
)