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@codeflash-ai codeflash-ai bot commented Nov 4, 2025

📄 58% (0.58x) speedup for ValkeyDB._build_list_query in mem0/vector_stores/valkey.py

⏱️ Runtime : 6.81 microseconds 4.32 microseconds (best of 41 runs)

📝 Explanation and details

The optimization eliminates a costly double iteration over the filters dictionary that was present in the original code.

Key changes:

  • Removed duplicate iteration: The original code used any(value is not None for key, value in filters.items()) which iterates through all filters, then immediately iterates again in the for loop. The optimized version performs only a single iteration.
  • Early return for empty filters: Added an early if not filters: return "*" check to avoid any processing when no filters are provided.
  • Streamlined control flow: Eliminated the intermediate variable q and returned values directly from each branch.

Why this is faster:
The original code's any() generator expression creates an unnecessary O(n) pass through the filters dictionary before the main processing loop. For dictionaries with multiple key-value pairs, this doubles the iteration cost. The optimized version processes each filter exactly once, building the conditions list directly and checking its emptiness afterward.

Performance characteristics:
Based on the profiler results, this optimization is particularly effective when filters contain valid (non-None) values, as it eliminates the redundant validation pass. The 57% speedup demonstrates the significant cost of the double iteration pattern in Python, especially for dictionary traversal operations.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 🔘 None Found
⏪ Replay Tests 4 Passed
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
⏪ Replay Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
test_pytest_testsconfigstest_prompts_py_testsvector_storestest_weaviate_py_testsllmstest_deepseek_py_test__replay_test_0.py::test_mem0_vector_stores_valkey_ValkeyDB__build_list_query 6.81μs 4.32μs 57.7%✅

To edit these changes git checkout codeflash/optimize-ValkeyDB._build_list_query-mhl49kdu and push.

Codeflash Static Badge

The optimization eliminates a costly double iteration over the `filters` dictionary that was present in the original code.

**Key changes:**
- **Removed duplicate iteration**: The original code used `any(value is not None for key, value in filters.items())` which iterates through all filters, then immediately iterates again in the for loop. The optimized version performs only a single iteration.
- **Early return for empty filters**: Added an early `if not filters: return "*"` check to avoid any processing when no filters are provided.
- **Streamlined control flow**: Eliminated the intermediate variable `q` and returned values directly from each branch.

**Why this is faster:**
The original code's `any()` generator expression creates an unnecessary O(n) pass through the filters dictionary before the main processing loop. For dictionaries with multiple key-value pairs, this doubles the iteration cost. The optimized version processes each filter exactly once, building the conditions list directly and checking its emptiness afterward.

**Performance characteristics:**
Based on the profiler results, this optimization is particularly effective when filters contain valid (non-None) values, as it eliminates the redundant validation pass. The 57% speedup demonstrates the significant cost of the double iteration pattern in Python, especially for dictionary traversal operations.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 4, 2025 22:04
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Nov 4, 2025
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⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash

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