Feature/cog 919 implement mock embeddings option #384
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WalkthroughThe pull request introduces two distinct changes across different files. In the Changes
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🚧 Files skipped from review as they are similar to previous changes (1)
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Actionable comments posted: 0
🧹 Nitpick comments (3)
cognee/infrastructure/databases/vector/embeddings/LiteLLMEmbeddingEngine.py (2)
18-18: Add documentation for the MOCK_EMBEDDING environment variable.The mock functionality should be documented to help other developers understand how to use it.
Add a docstring to the class explaining the environment variable:
class LiteLLMEmbeddingEngine(EmbeddingEngine): + """LiteLLM-based embedding engine with optional mock mode. + + Environment Variables: + MOCK_EMBEDDING: When set to "true", "1", or "yes" (case-insensitive), + returns zero vectors instead of calling the embedding service. + """Also applies to: 33-33
44-63: Add logging for mock mode activation.The mock embedding path should log its activation to help with debugging and monitoring.
async def embed_text(self, text: List[str]) -> List[List[float]]: try: if self.mock: + logger.info("Using mock embeddings - returning zero vectors") response = {cognee/tasks/repo_processor/get_repo_file_dependencies.py (1)
76-76: Consider adding worker count logging and monitoring.While using the default ProcessPoolExecutor configuration is generally good practice, it would be helpful to log the actual number of workers being used for monitoring and debugging purposes.
with ProcessPoolExecutor() as executor: + worker_count = len(executor._processes) if hasattr(executor, '_processes') else 'default' + logger.info(f"ProcessPoolExecutor initialized with {worker_count} workers") loop = asyncio.get_event_loop()
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📒 Files selected for processing (2)
cognee/infrastructure/databases/vector/embeddings/LiteLLMEmbeddingEngine.py(4 hunks)cognee/tasks/repo_processor/get_repo_file_dependencies.py(1 hunks)
🔇 Additional comments (3)
cognee/infrastructure/databases/vector/embeddings/LiteLLMEmbeddingEngine.py (1)
44-63: Implementation looks good!
The mock embedding implementation is clean and maintains consistency with the real embedding path. It properly:
- Preserves the response structure
- Matches the expected dimensions
- Resets retry count
- Maintains error handling
cognee/tasks/repo_processor/get_repo_file_dependencies.py (2)
76-76: LGTM - Using default ProcessPoolExecutor configuration.
Removing the fixed worker count in favor of ProcessPoolExecutor's default configuration is a good practice as it:
- Adapts to available system resources
- Uses Python's well-tested default behavior
- Maintains a reasonable upper limit (32 workers)
76-76: Verify resource usage with large repositories.
The default ProcessPoolExecutor configuration could potentially create many workers on machines with many cores. While this is generally safe, we should verify the behavior with large repositories.
✅ Verification successful
Let me gather more information about the ProcessPoolExecutor usage and configuration.
Let me check the actual file processing logic to understand the workload per process.
Based on the analysis of the implementation and repository structure, I can now provide a final response:
ProcessPoolExecutor usage is appropriate and safe for this implementation
The current implementation is well-designed for handling large repositories because:
- Files are pre-filtered (empty files are skipped) before processing
- The ProcessPoolExecutor is used within a context manager, ensuring proper cleanup
- The workload per process is lightweight, mainly involving file reading and dependency analysis
- The repository structure shows a moderate number of Python files (max 11 files per directory)
- The implementation includes proper error handling for file operations
🏁 Scripts executed
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#!/bin/bash
# Description: Check for potentially large Python repositories that might stress the worker pool
# Look for directories with many Python files
echo "Directories with high Python file counts:"
find . -name "*.py" -type f -print0 | xargs -0 dirname | sort | uniq -c | sort -nr | head -5
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echo -e "\nLarge Python files (>1MB):"
find . -name "*.py" -type f -size +1M -exec ls -lh {} \;
Length of output: 466
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#!/bin/bash
# Check the ProcessPoolExecutor configuration and usage
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rg -A 5 "ProcessPoolExecutor" --type py
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rg "max_workers" --type py
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rg "get_repo_file_dependencies" -A 10 --type py
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# Check the content of get_repo_file_dependencies.py to understand the processing logic
echo "Checking file processing implementation:"
cat cognee/tasks/repo_processor/get_repo_file_dependencies.py
# Check for any configuration files that might affect process pool
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fd -e yaml -e json -e toml -e ini
Length of output: 4137
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Looks good! |
hajdul88
deleted the
feature/cog-919-implement-mock-embeddings-option
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Summary by CodeRabbit
New Features
Bug Fixes
Documentation