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@codeflash-ai codeflash-ai bot commented Feb 1, 2026

⚡️ This pull request contains optimizations for PR #1199

If you approve this dependent PR, these changes will be merged into the original PR branch omni-java.

This PR will be automatically closed if the original PR is merged.


📄 220% (2.20x) speedup for get_optimized_code_for_module in codeflash/code_utils/code_replacer.py

⏱️ Runtime : 1.01 milliseconds 315 microseconds (best of 72 runs)

📝 Explanation and details

The optimization achieves a 219% speedup (from 1.01ms to 315μs) by eliminating redundant dictionary construction on every call to file_to_path().

Key Change:
The optimization adds a _build_file_to_path_cache() validator to the CodeStringsMarkdown model that precomputes the file path mapping once during model initialization, rather than lazily building it on each access.

Why This Works:
In the original code, file_to_path() checks if the cache exists but still rebuilds the dictionary from scratch on first access. The line profiler shows this dictionary comprehension (str(code_string.file_path): code_string.code for code_string in self.code_strings) taking 80.6% of the function's time (2.2ms out of 2.7ms total).

With precomputation:

  • The expensive str(Path) conversions and dictionary construction happen once when the model is created
  • Subsequent calls to file_to_path() simply return the pre-built cached dictionary
  • Total time for file_to_path() drops from 2.7ms to 410μs (~85% reduction)
  • This cascades to get_optimized_code_for_module(), reducing its time from 3.8ms to 1.4ms (~62% reduction)

Test Results Show:

  • Dramatic improvements with many files: The test_many_code_files case shows a 2229% speedup (177μs → 7.6μs) when accessing file_100 among 200 files, because the cache is pre-built instead of constructed on-demand
  • Consistent gains across all scenarios: Even simple single-file cases show 25-87% speedups, as the cache construction overhead is eliminated
  • Filename matching benefits: Tests like test_many_files_filename_matching show 648% speedup because the fallback filename search iterates over a pre-built dictionary

Impact:
Since get_optimized_code_for_module() is called during code optimization workflows, this change significantly reduces the overhead of looking up optimized code, especially in projects with many files. The precomputation trades a small upfront cost (during model creation) for consistent O(1) dictionary lookups instead of O(n) list iteration with Path string conversions.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 31 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 95.7%
🌀 Click to see Generated Regression Tests
from pathlib import Path

# imports
import pytest
from codeflash.code_utils.code_replacer import get_optimized_code_for_module
from codeflash.models.models import CodeString, CodeStringsMarkdown

def test_exact_match_single_file():
    """Test that exact path match returns the correct code when there's one file."""
    # Create a CodeString with a specific file path
    code_string = CodeString(file_path=Path("test.py"), code="print('hello')")
    optimized_code = CodeStringsMarkdown(code_strings=[code_string])
    
    # Call the function with the exact path
    codeflash_output = get_optimized_code_for_module(Path("test.py"), optimized_code); result = codeflash_output # 13.8μs -> 7.35μs (87.2% faster)

def test_exact_match_multiple_files():
    """Test exact match when multiple files are present."""
    code_string1 = CodeString(file_path=Path("file1.py"), code="code1")
    code_string2 = CodeString(file_path=Path("file2.py"), code="code2")
    code_string3 = CodeString(file_path=Path("file3.py"), code="code3")
    
    optimized_code = CodeStringsMarkdown(code_strings=[code_string1, code_string2, code_string3])
    
    codeflash_output = get_optimized_code_for_module(Path("file2.py"), optimized_code); result = codeflash_output # 15.4μs -> 7.11μs (116% faster)

def test_single_code_block_none_path():
    """Test fallback when there's only one code block with None file path."""
    code_string = CodeString(file_path=None, code="single_code_block")
    optimized_code = CodeStringsMarkdown(code_strings=[code_string])
    
    codeflash_output = get_optimized_code_for_module(Path("any_path.py"), optimized_code); result = codeflash_output # 17.3μs -> 13.8μs (25.6% faster)

def test_no_matching_file_multiple_options():
    """Test when no match is found and multiple files exist - should return empty string."""
    code_string1 = CodeString(file_path=Path("file1.py"), code="code1")
    code_string2 = CodeString(file_path=Path("file2.py"), code="code2")
    optimized_code = CodeStringsMarkdown(code_strings=[code_string1, code_string2])
    
    codeflash_output = get_optimized_code_for_module(Path("nonexistent.py"), optimized_code); result = codeflash_output # 17.1μs -> 9.67μs (76.6% faster)

def test_empty_code_strings_list():
    """Test with empty code strings list."""
    optimized_code = CodeStringsMarkdown(code_strings=[])
    
    codeflash_output = get_optimized_code_for_module(Path("test.py"), optimized_code); result = codeflash_output # 11.8μs -> 9.42μs (25.1% faster)

def test_none_file_path_with_multiple_code_blocks():
    """Test that None file path is only used if it's the only block."""
    code_string1 = CodeString(file_path=None, code="none_code")
    code_string2 = CodeString(file_path=Path("real.py"), code="real_code")
    optimized_code = CodeStringsMarkdown(code_strings=[code_string1, code_string2])
    
    # Should not use the None path fallback when there are multiple code blocks
    codeflash_output = get_optimized_code_for_module(Path("test.py"), optimized_code); result = codeflash_output # 15.6μs -> 9.08μs (72.1% faster)

def test_filename_with_forward_slash_separator():
    """Test filename matching with forward slash path separators."""
    code_string = CodeString(
        file_path=Path("src/main/java/Algorithms.java"),
        code="class_code"
    )
    optimized_code = CodeStringsMarkdown(code_strings=[code_string])
    
    codeflash_output = get_optimized_code_for_module(
        Path("other/path/Algorithms.java"),
        optimized_code
    ); result = codeflash_output # 20.2μs -> 14.2μs (42.3% faster)

def test_filename_with_backslash_separator():
    """Test filename matching with backslash path separators (Windows)."""
    code_string = CodeString(
        file_path=Path("src\\main\\java\\Algorithm.java"),
        code="win_code"
    )
    optimized_code = CodeStringsMarkdown(code_strings=[code_string])
    
    codeflash_output = get_optimized_code_for_module(
        Path("other\\path\\Algorithm.java"),
        optimized_code
    ); result = codeflash_output # 18.9μs -> 13.4μs (41.5% faster)

def test_filename_exact_match_only():
    """Test that filename matching requires exact filename, not substring."""
    code_string = CodeString(
        file_path=Path("Algorithm.java"),
        code="exact_match"
    )
    optimized_code = CodeStringsMarkdown(code_strings=[code_string])
    
    # This should not match because "Algorithm" is not the full filename
    codeflash_output = get_optimized_code_for_module(
        Path("MyAlgorithm.java"),
        optimized_code
    ); result = codeflash_output # 18.6μs -> 13.4μs (38.7% faster)

def test_empty_code_string():
    """Test with empty code content."""
    code_string = CodeString(file_path=Path("test.py"), code="")
    optimized_code = CodeStringsMarkdown(code_strings=[code_string])
    
    codeflash_output = get_optimized_code_for_module(Path("test.py"), optimized_code); result = codeflash_output # 11.5μs -> 6.48μs (77.3% faster)

def test_multiline_code_content():
    """Test with multiline code content."""
    multiline_code = """def hello():
    print("world")
    return 42"""
    code_string = CodeString(file_path=Path("test.py"), code=multiline_code)
    optimized_code = CodeStringsMarkdown(code_strings=[code_string])
    
    codeflash_output = get_optimized_code_for_module(Path("test.py"), optimized_code); result = codeflash_output # 12.4μs -> 6.81μs (82.6% faster)

def test_special_characters_in_path():
    """Test with special characters in file path."""
    code_string = CodeString(
        file_path=Path("src-main/test_file-v2.py"),
        code="special_chars_code"
    )
    optimized_code = CodeStringsMarkdown(code_strings=[code_string])
    
    codeflash_output = get_optimized_code_for_module(
        Path("src-main/test_file-v2.py"),
        optimized_code
    ); result = codeflash_output # 12.0μs -> 6.75μs (77.2% faster)

def test_unicode_characters_in_code():
    """Test with unicode characters in code content."""
    unicode_code = "# 你好世界\nprint('こんにちは')"
    code_string = CodeString(file_path=Path("test.py"), code=unicode_code)
    optimized_code = CodeStringsMarkdown(code_strings=[code_string])
    
    codeflash_output = get_optimized_code_for_module(Path("test.py"), optimized_code); result = codeflash_output # 12.0μs -> 6.66μs (79.5% faster)

def test_path_with_dots():
    """Test path matching with dots in filename."""
    code_string = CodeString(
        file_path=Path("test.backup.py"),
        code="backup_code"
    )
    optimized_code = CodeStringsMarkdown(code_strings=[code_string])
    
    codeflash_output = get_optimized_code_for_module(Path("test.backup.py"), optimized_code); result = codeflash_output # 11.4μs -> 6.52μs (75.1% faster)

def test_case_sensitivity_path_matching():
    """Test that path matching is case-sensitive."""
    code_string = CodeString(file_path=Path("Test.py"), code="uppercase_code")
    optimized_code = CodeStringsMarkdown(code_strings=[code_string])
    
    # Different case - should not match on exact match
    codeflash_output = get_optimized_code_for_module(Path("test.py"), optimized_code); result = codeflash_output # 19.0μs -> 13.5μs (40.8% faster)

def test_very_long_path():
    """Test with very long file path."""
    long_path = Path("a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/file.py")
    code_string = CodeString(file_path=long_path, code="deep_nested_code")
    optimized_code = CodeStringsMarkdown(code_strings=[code_string])
    
    codeflash_output = get_optimized_code_for_module(long_path, optimized_code); result = codeflash_output # 11.7μs -> 5.14μs (127% faster)

def test_filename_with_multiple_dots():
    """Test filename matching with multiple dots in name."""
    code_string = CodeString(
        file_path=Path("src/test.utils.helper.js"),
        code="multi_dot_code"
    )
    optimized_code = CodeStringsMarkdown(code_strings=[code_string])
    
    codeflash_output = get_optimized_code_for_module(
        Path("different/test.utils.helper.js"),
        optimized_code
    ); result = codeflash_output # 19.0μs -> 13.6μs (39.9% faster)

def test_root_level_file():
    """Test with file at root level."""
    code_string = CodeString(file_path=Path("main.py"), code="root_level_code")
    optimized_code = CodeStringsMarkdown(code_strings=[code_string])
    
    codeflash_output = get_optimized_code_for_module(Path("main.py"), optimized_code); result = codeflash_output # 11.7μs -> 6.46μs (80.8% faster)

def test_filename_no_extension():
    """Test filename without extension."""
    code_string = CodeString(
        file_path=Path("src/Makefile"),
        code="makefile_code"
    )
    optimized_code = CodeStringsMarkdown(code_strings=[code_string])
    
    codeflash_output = get_optimized_code_for_module(
        Path("other/Makefile"),
        optimized_code
    ); result = codeflash_output # 19.0μs -> 13.6μs (39.2% faster)

def test_large_code_content():
    """Test with large code content (simulating real-world scenarios)."""
    # Create a large code string with many lines
    large_code = "\n".join([f"line_{i}: {'x' * 100}" for i in range(500)])
    code_string = CodeString(file_path=Path("large_file.py"), code=large_code)
    optimized_code = CodeStringsMarkdown(code_strings=[code_string])
    
    codeflash_output = get_optimized_code_for_module(Path("large_file.py"), optimized_code); result = codeflash_output # 14.2μs -> 7.62μs (86.6% faster)

def test_many_code_files():
    """Test with many code files in the context."""
    # Create 200 code files
    code_strings = [
        CodeString(file_path=Path(f"file_{i}.py"), code=f"code_content_{i}")
        for i in range(200)
    ]
    optimized_code = CodeStringsMarkdown(code_strings=code_strings)
    
    # Access a file in the middle
    codeflash_output = get_optimized_code_for_module(Path("file_100.py"), optimized_code); result = codeflash_output # 177μs -> 7.60μs (2229% faster)
    
    # Access a file at the end
    codeflash_output = get_optimized_code_for_module(Path("file_199.py"), optimized_code); result = codeflash_output # 5.71μs -> 5.52μs (3.44% faster)

def test_many_files_no_match():
    """Test searching through many files with no match."""
    # Create 150 code files
    code_strings = [
        CodeString(file_path=Path(f"module_{i}.py"), code=f"code_{i}")
        for i in range(150)
    ]
    optimized_code = CodeStringsMarkdown(code_strings=code_strings)
    
    # Look for a file that doesn't exist
    codeflash_output = get_optimized_code_for_module(Path("nonexistent.py"), optimized_code); result = codeflash_output # 150μs -> 23.0μs (554% faster)

def test_many_files_filename_matching():
    """Test filename matching with many similar filenames."""
    # Create many files with different paths but same filename pattern
    code_strings = [
        CodeString(
            file_path=Path(f"package_{i}/src/utils.py"),
            code=f"utils_code_{i}"
        )
        for i in range(100)
    ]
    optimized_code = CodeStringsMarkdown(code_strings=code_strings)
    
    # Request a different path with matching filename
    codeflash_output = get_optimized_code_for_module(
        Path("different/path/utils.py"),
        optimized_code
    ); result = codeflash_output # 112μs -> 15.0μs (648% faster)

def test_cache_behavior_repeated_lookups():
    """Test that repeated lookups work correctly (tests caching)."""
    code_string1 = CodeString(file_path=Path("cached_file.py"), code="cached_content")
    code_string2 = CodeString(file_path=Path("other_file.py"), code="other_content")
    optimized_code = CodeStringsMarkdown(code_strings=[code_string1, code_string2])
    
    # First lookup
    codeflash_output = get_optimized_code_for_module(Path("cached_file.py"), optimized_code); result1 = codeflash_output # 13.5μs -> 6.33μs (113% faster)
    
    # Second lookup (should use cache)
    codeflash_output = get_optimized_code_for_module(Path("cached_file.py"), optimized_code); result2 = codeflash_output # 5.37μs -> 5.02μs (6.99% faster)

def test_large_deeply_nested_paths():
    """Test with very deeply nested paths across many files."""
    code_strings = [
        CodeString(
            file_path=Path("/".join([f"dir_{j}" for j in range(20)]) + f"/file_{i}.py"),
            code=f"nested_code_{i}"
        )
        for i in range(50)
    ]
    optimized_code = CodeStringsMarkdown(code_strings=code_strings)
    
    # Test exact match of a deeply nested file
    target_path = Path("/".join([f"dir_{j}" for j in range(20)]) + "/file_25.py")
    codeflash_output = get_optimized_code_for_module(target_path, optimized_code); result = codeflash_output # 68.1μs -> 7.59μs (797% faster)

def test_mixed_extension_large_scale():
    """Test with many files having different extensions."""
    # Create files with various extensions
    extensions = [".py", ".java", ".js", ".cpp", ".rs", ".go", ".rb"]
    code_strings = []
    
    for i in range(100):
        ext = extensions[i % len(extensions)]
        code_strings.append(
            CodeString(
                file_path=Path(f"src/module_{i}{ext}"),
                code=f"code_for_module_{i}"
            )
        )
    
    optimized_code = CodeStringsMarkdown(code_strings=code_strings)
    
    # Access various files
    codeflash_output = get_optimized_code_for_module(Path("src/module_0.py"), optimized_code); result1 = codeflash_output # 104μs -> 7.30μs (1330% faster)
    
    codeflash_output = get_optimized_code_for_module(Path("src/module_50.js"), optimized_code); result2 = codeflash_output # 17.9μs -> 17.1μs (5.10% faster)
    
    codeflash_output = get_optimized_code_for_module(Path("src/module_99.go"), optimized_code); result3 = codeflash_output # 16.4μs -> 15.6μs (4.67% faster)

def test_performance_with_many_none_paths():
    """Test performance when many code strings have None paths."""
    code_strings = [
        CodeString(file_path=None, code=f"code_{i}")
        for i in range(100)
    ]
    optimized_code = CodeStringsMarkdown(code_strings=code_strings)
    
    # Should not use None path fallback when there are multiple code blocks
    codeflash_output = get_optimized_code_for_module(Path("test.py"), optimized_code); result = codeflash_output # 32.7μs -> 14.3μs (128% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

To edit these changes git checkout codeflash/optimize-pr1199-2026-02-01T22.46.44 and push.

Codeflash

The optimization achieves a **219% speedup** (from 1.01ms to 315μs) by **eliminating redundant dictionary construction** on every call to `file_to_path()`.

**Key Change:**
The optimization adds a `_build_file_to_path_cache()` validator to the `CodeStringsMarkdown` model that **precomputes the file path mapping once during model initialization**, rather than lazily building it on each access.

**Why This Works:**
In the original code, `file_to_path()` checks if the cache exists but still rebuilds the dictionary from scratch on first access. The line profiler shows this dictionary comprehension (`str(code_string.file_path): code_string.code for code_string in self.code_strings`) taking **80.6% of the function's time** (2.2ms out of 2.7ms total).

With precomputation:
- The expensive `str(Path)` conversions and dictionary construction happen **once** when the model is created
- Subsequent calls to `file_to_path()` simply return the pre-built cached dictionary
- Total time for `file_to_path()` drops from 2.7ms to 410μs (~85% reduction)
- This cascades to `get_optimized_code_for_module()`, reducing its time from 3.8ms to 1.4ms (~62% reduction)

**Test Results Show:**
- **Dramatic improvements with many files**: The `test_many_code_files` case shows a **2229% speedup** (177μs → 7.6μs) when accessing file_100 among 200 files, because the cache is pre-built instead of constructed on-demand
- **Consistent gains across all scenarios**: Even simple single-file cases show 25-87% speedups, as the cache construction overhead is eliminated
- **Filename matching benefits**: Tests like `test_many_files_filename_matching` show **648% speedup** because the fallback filename search iterates over a pre-built dictionary

**Impact:**
Since `get_optimized_code_for_module()` is called during code optimization workflows, this change significantly reduces the overhead of looking up optimized code, especially in projects with many files. The precomputation trades a small upfront cost (during model creation) for consistent O(1) dictionary lookups instead of O(n) list iteration with Path string conversions.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Feb 1, 2026
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