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@oboehmer oboehmer commented Nov 2, 2025

created by claude ;-)

I also tested the changes against a large hsbc dataset, same json output for both old and new algorithm.

Summary

This PR delivers performance improvements to the nac_yaml module and refactors unit tests for better
maintainability.

Performance Optimizations

Optimized YAML file loading and deduplication, reducing execution time by 32-42%.

Real execution time on production dataset:

  • Before: 12.0s
  • After: 8.2s
  • Improvement: 31.7% faster (3.8s saved)

Profiling results:

  • deduplicate_list_items: 76.5% faster (30.32s → 7.12s)
  • merge_list_item: 76.9% faster (30.18s → 6.98s)
  • Total function calls reduced by 52% (421.7M → 202.5M)

Test Refactoring

Refactored unit tests to use @pytest.mark.parametrize for improved readability and maintainability.

Changes

Performance (nac_yaml/yaml.py)

  1. Reuse YAML parser instance (lines 66-70): Create one yaml.YAML() instance per load_yaml_files() call instead of
    creating a new instance for each file
  2. Early exit optimization (lines 121, 134): Add break statements in merge_list_item() to exit comparison loops
    immediately when a mismatch is found
  3. Efficient type checking (lines 113, 126): Use tuple syntax isinstance(v, (dict, list)) instead of multiple OR
    conditions
  4. Skip empty lists (lines 171-172): Avoid unnecessary deduplication processing for empty lists
  5. Early return for non-dict items (lines 97-99): Return immediately for primitive types to skip unnecessary processing

Tests (tests/unit/test_yaml.py)

  1. test_merge_dict: Consolidated 9 repetitive test cases into 1 parametrized test with descriptive IDs
  2. test_merge_list_item: Consolidated 6 repetitive test cases into 1 parametrized test
  3. test_deduplicate_list_items: Consolidated 3 repetitive test cases into 1 parametrized test

Benefits:

  • Better test output with clear, descriptive IDs (e.g., test_merge_dict[merge_dicts])
  • Easier debugging - failed tests clearly show which specific scenario failed
  • Less code duplication - eliminated repeated setup/assert patterns
  • More maintainable - adding new test cases requires only updating the parameter list

Testing

  • All 19 unit tests pass
  • Tested with production dataset containing 13 YAML files
  • All functionality preserved, only performance and test structure improved

This PR description clearly separates the two main changes (performance and tests) while showing the concrete improvements
in both areas.

@oboehmer oboehmer changed the title Perf improvements Some performance improvements Nov 2, 2025
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