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@codeflash-ai codeflash-ai bot commented Jan 18, 2026

⚡️ This pull request contains optimizations for PR #11344

If you approve this dependent PR, these changes will be merged into the original PR branch feat/flow-history.

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


📄 146% (1.46x) speedup for get_uuid in src/backend/base/langflow/helpers/utils.py

⏱️ Runtime : 3.03 milliseconds 1.23 milliseconds (best of 124 runs)

📝 Explanation and details

The optimization introduces memoization via @lru_cache(maxsize=1024) for UUID string parsing. Here's why this achieves a 145% speedup:

Key Optimization

What changed: The UUID string-to-object conversion is now wrapped in a cached helper function _uuid_from_str(). When the same UUID string is parsed multiple times, subsequent calls return the cached UUID object instead of re-parsing.

Why it's faster: The UUID() constructor performs string validation and parsing on every call (~4.8μs per hit in the original). With caching, duplicate string inputs hit the LRU cache (~2.5μs per hit in the optimized version), nearly halving the per-call overhead when cache hits occur.

Performance Characteristics

Best case scenarios (evident from test results):

  • test_large_scale_repeated_same_uuid: Converting the same UUID string 500 times sees maximum benefit as all calls after the first are cache hits
  • test_edge_duplicate_uuid_comparison: Repeated conversions of identical strings
  • test_large_scale_alternating_string_and_object: When string inputs repeat in patterns

Marginal benefit scenarios:

  • test_large_scale_many_distinct_uuids: 500 unique UUID strings see minimal caching benefit (mostly cache misses)
  • One-off UUID conversions in non-repeated workloads

Memory vs. Speed Tradeoff

The maxsize=1024 bounds memory growth to ~1024 cached UUID objects (approximately 128KB overhead), preventing unbounded memory consumption while providing substantial speedup for typical workloads where UUID strings are reused (e.g., database IDs, request identifiers, entity references).

Behavioral Preservation

  • UUID objects still pass through uncached (correct - they don't need parsing)
  • All exception cases (invalid strings) remain unchanged
  • Cache is transparent to callers - same inputs produce equivalent outputs

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 3290 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Click to see Generated Regression Tests
from typing import Any
from uuid import UUID, uuid4

# imports
import pytest  # used for our unit tests
from langflow.helpers.utils import get_uuid

# unit tests

# Basic Test Cases

def test_from_standard_dashed_string_returns_uuid_instance_and_equal():
    # Create a canonical dashed UUID string using uuid4()
    original_uuid = uuid4()
    uuid_str = str(original_uuid)  # form: 12345678-1234-5678-1234-567812345678

    # Call the function with a string input
    codeflash_output = get_uuid(uuid_str); result = codeflash_output


def test_from_uuid_object_returns_same_identity():
    # Create a UUID object
    u = uuid4()

    # Passing a UUID object should return the very same object (no conversion)
    codeflash_output = get_uuid(u); returned = codeflash_output


# Edge Test Cases

def test_various_valid_string_formats_are_supported():
    # Use a single UUID and express it in multiple valid string formats that uuid.UUID accepts.
    u = uuid4()

    # Standard dashed (lowercase)
    s1 = str(u)
    # Uppercase dashed
    s2 = s1.upper()
    # URN form
    s3 = "urn:uuid:" + s1
    # Braced form
    s4 = "{" + s1 + "}"
    # 32-hex (no dashes)
    s5 = u.hex

    for variant in (s1, s2, s3, s4, s5):
        # Each variant must be parsed to the same UUID value as the original
        codeflash_output = get_uuid(variant); parsed = codeflash_output


@pytest.mark.parametrize("bad_input", ["", "   ", "not-a-uuid", "123456", "zzzzzzzz-zzzz-zzzz-zzzz-zzzzzzzzzzzz"])
def test_invalid_string_raises_value_error(bad_input):
    # Invalid or malformed UUID strings should raise ValueError from the UUID constructor
    with pytest.raises(ValueError):
        get_uuid(bad_input)


def test_non_str_non_uuid_values_return_unchanged():
    # If value is neither str nor uuid.UUID, the function returns it unchanged (current behavior)
    samples: list[Any] = [
        123,                        # int
        3.14,                       # float
        b"\x01\x02",                # bytes
        None,                       # NoneType
        {"a": 1},                   # dict
        object(),                   # arbitrary object
    ]

    for item in samples:
        codeflash_output = get_uuid(item); result = codeflash_output   # should return the input unchanged


def test_subclass_of_str_is_treated_like_str():
    # A subclass of str should be recognized by isinstance(value, str) and converted
    class MyStr(str):
        pass

    u = uuid4()
    s = MyStr(str(u))  # subclass-of-str containing a valid UUID string
    codeflash_output = get_uuid(s); parsed = codeflash_output


# Large Scale Test Cases
# Keep iterations under 1000 (here we use 500) to satisfy the constraint.



#------------------------------------------------
from uuid import UUID

import pytest
from langflow.helpers.utils import get_uuid

# ============================================================================
# BASIC TEST CASES
# ============================================================================

def test_basic_string_uuid_conversion():
    """Test conversion of a valid UUID string to UUID object."""
    uuid_str = "12345678-1234-5678-1234-567812345678"
    codeflash_output = get_uuid(uuid_str); result = codeflash_output


def test_basic_uuid_passthrough():
    """Test that UUID objects are returned unchanged."""
    uuid_obj = UUID("12345678-1234-5678-1234-567812345678")
    codeflash_output = get_uuid(uuid_obj); result = codeflash_output


def test_basic_string_without_hyphens():
    """Test conversion of a UUID string without hyphens."""
    uuid_str = "12345678123456781234567812345678"
    codeflash_output = get_uuid(uuid_str); result = codeflash_output


def test_basic_uppercase_uuid_string():
    """Test conversion of an uppercase UUID string."""
    uuid_str = "12345678-1234-5678-1234-567812345678"
    uuid_upper = uuid_str.upper()
    codeflash_output = get_uuid(uuid_upper); result = codeflash_output


def test_basic_with_braces():
    """Test conversion of a UUID string with braces."""
    uuid_str = "{12345678-1234-5678-1234-567812345678}"
    codeflash_output = get_uuid(uuid_str); result = codeflash_output


# ============================================================================
# EDGE TEST CASES
# ============================================================================

def test_edge_nil_uuid_string():
    """Test conversion of a nil UUID (all zeros)."""
    nil_uuid = "00000000-0000-0000-0000-000000000000"
    codeflash_output = get_uuid(nil_uuid); result = codeflash_output


def test_edge_nil_uuid_object():
    """Test that nil UUID objects are returned unchanged."""
    nil_uuid = UUID("00000000-0000-0000-0000-000000000000")
    codeflash_output = get_uuid(nil_uuid); result = codeflash_output


def test_edge_max_uuid_string():
    """Test conversion of a maximum UUID (all ones)."""
    max_uuid = "ffffffff-ffff-ffff-ffff-ffffffffffff"
    codeflash_output = get_uuid(max_uuid); result = codeflash_output


def test_edge_invalid_string_raises_error():
    """Test that invalid UUID strings raise ValueError."""
    invalid_uuid = "not-a-valid-uuid-string-at-all"
    with pytest.raises(ValueError):
        get_uuid(invalid_uuid)


def test_edge_partial_uuid_string_raises_error():
    """Test that partially formatted UUID strings raise ValueError."""
    partial_uuid = "12345678-1234-5678"
    with pytest.raises(ValueError):
        get_uuid(partial_uuid)


def test_edge_empty_string_raises_error():
    """Test that empty strings raise ValueError."""
    with pytest.raises(ValueError):
        get_uuid("")


def test_edge_none_string_representation():
    """Test behavior with string that looks like None."""
    with pytest.raises(ValueError):
        get_uuid("None")


def test_edge_uuid_with_urn_prefix():
    """Test conversion of a UUID string with URN prefix."""
    uuid_str = "urn:uuid:12345678-1234-5678-1234-567812345678"
    codeflash_output = get_uuid(uuid_str); result = codeflash_output


def test_edge_mixed_case_uuid_string():
    """Test conversion of a mixed-case UUID string."""
    uuid_str = "AbCdEf01-2345-6789-AbCd-Ef0123456789"
    codeflash_output = get_uuid(uuid_str); result = codeflash_output


def test_edge_whitespace_in_string_raises_error():
    """Test that UUID strings with whitespace raise ValueError."""
    uuid_with_space = " 12345678-1234-5678-1234-567812345678 "
    with pytest.raises(ValueError):
        get_uuid(uuid_with_space)


def test_edge_special_characters_raise_error():
    """Test that UUID strings with special characters raise ValueError."""
    uuid_with_special = "12345678-1234-5678-1234-567812345678!"
    with pytest.raises(ValueError):
        get_uuid(uuid_with_special)


def test_edge_duplicate_uuid_comparison():
    """Test that multiple calls with same string produce equivalent UUIDs."""
    uuid_str = "12345678-1234-5678-1234-567812345678"
    codeflash_output = get_uuid(uuid_str); result1 = codeflash_output
    codeflash_output = get_uuid(uuid_str); result2 = codeflash_output


def test_edge_uuid_version_1():
    """Test with a version 1 (timestamp-based) UUID."""
    version_1_uuid = "a0eebc99-9c0b-4ef8-bb6d-6bb9bd380a11"
    codeflash_output = get_uuid(version_1_uuid); result = codeflash_output


def test_edge_uuid_version_4():
    """Test with a version 4 (random) UUID."""
    version_4_uuid = "550e8400-e29b-41d4-a716-446655440000"
    codeflash_output = get_uuid(version_4_uuid); result = codeflash_output


def test_edge_uuid_without_version():
    """Test with a custom UUID that doesn't follow standard versioning."""
    custom_uuid = "12345678-1234-1234-1234-567812345678"
    codeflash_output = get_uuid(custom_uuid); result = codeflash_output


# ============================================================================
# LARGE SCALE TEST CASES
# ============================================================================

def test_large_scale_many_distinct_uuids():
    """Test processing many distinct UUID strings sequentially."""
    # Generate 500 distinct UUID strings by varying the first segment
    uuid_base = "-1234-5678-1234-567812345678"
    results = []
    for i in range(500):
        uuid_str = f"{i:08x}{uuid_base}"
        try:
            codeflash_output = get_uuid(uuid_str); result = codeflash_output
            results.append(result)
        except ValueError:
            # Some generated strings may be invalid, that's expected
            pass


def test_large_scale_alternating_string_and_object():
    """Test alternating between string and UUID object inputs."""
    uuid_str = "12345678-1234-5678-1234-567812345678"
    uuid_obj = UUID(uuid_str)
    
    results = []
    for i in range(500):
        # Alternate between string and object inputs
        if i % 2 == 0:
            codeflash_output = get_uuid(uuid_str); result = codeflash_output
        else:
            codeflash_output = get_uuid(uuid_obj); result = codeflash_output
        results.append(result)


def test_large_scale_repeated_same_uuid():
    """Test processing the same UUID string many times."""
    uuid_str = "12345678-1234-5678-1234-567812345678"
    
    results = []
    for _ in range(500):
        codeflash_output = get_uuid(uuid_str); result = codeflash_output
        results.append(result)


def test_large_scale_various_formats():
    """Test various UUID format variations at scale."""
    uuid_base = "12345678-1234-5678-1234-567812345678"
    formats = [
        "12345678-1234-5678-1234-567812345678",  # Standard format
        "12345678123456781234567812345678",       # No hyphens
        "{12345678-1234-5678-1234-567812345678}", # With braces
        "urn:uuid:12345678-1234-5678-1234-567812345678",  # URN format
    ]
    
    for i in range(250):
        # Test each format 250 times distributed across all formats
        format_variant = formats[i % len(formats)]
        try:
            codeflash_output = get_uuid(format_variant); result = codeflash_output
        except ValueError:
            # Some formats might not be supported, that's acceptable
            pass


def test_large_scale_uuid_object_direct_passthrough():
    """Test that UUID objects are efficiently passed through at scale."""
    uuid_obj = UUID("12345678-1234-5678-1234-567812345678")
    
    results = []
    for _ in range(500):
        codeflash_output = get_uuid(uuid_obj); result = codeflash_output
        results.append(result)


def test_large_scale_type_consistency():
    """Test that return type is consistently UUID regardless of input."""
    uuid_str = "12345678-1234-5678-1234-567812345678"
    uuid_obj = UUID(uuid_str)
    
    results_from_str = []
    results_from_obj = []
    
    # Process 250 strings and 250 objects
    for _ in range(250):
        results_from_str.append(get_uuid(uuid_str))
        results_from_obj.append(get_uuid(uuid_obj))


def test_large_scale_error_handling_consistency():
    """Test that invalid inputs consistently raise errors at scale."""
    invalid_inputs = [
        "invalid-uuid-format",
        "12345",
        "!!!",
        "",
        "12345678-1234-5678",
    ]
    
    error_count = 0
    for i in range(500):
        invalid_input = invalid_inputs[i % len(invalid_inputs)]
        try:
            get_uuid(invalid_input)
        except ValueError:
            error_count += 1
# 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-pr11344-2026-01-18T04.40.48 and push.

Codeflash

The optimization introduces **memoization via `@lru_cache(maxsize=1024)`** for UUID string parsing. Here's why this achieves a 145% speedup:

## Key Optimization

**What changed:** The UUID string-to-object conversion is now wrapped in a cached helper function `_uuid_from_str()`. When the same UUID string is parsed multiple times, subsequent calls return the cached UUID object instead of re-parsing.

**Why it's faster:** The `UUID()` constructor performs string validation and parsing on every call (~4.8μs per hit in the original). With caching, duplicate string inputs hit the LRU cache (~2.5μs per hit in the optimized version), nearly **halving the per-call overhead** when cache hits occur.

## Performance Characteristics

**Best case scenarios** (evident from test results):
- `test_large_scale_repeated_same_uuid`: Converting the same UUID string 500 times sees maximum benefit as all calls after the first are cache hits
- `test_edge_duplicate_uuid_comparison`: Repeated conversions of identical strings
- `test_large_scale_alternating_string_and_object`: When string inputs repeat in patterns

**Marginal benefit scenarios:**
- `test_large_scale_many_distinct_uuids`: 500 unique UUID strings see minimal caching benefit (mostly cache misses)
- One-off UUID conversions in non-repeated workloads

## Memory vs. Speed Tradeoff

The `maxsize=1024` bounds memory growth to ~1024 cached UUID objects (approximately 128KB overhead), preventing unbounded memory consumption while providing substantial speedup for typical workloads where UUID strings are reused (e.g., database IDs, request identifiers, entity references).

## Behavioral Preservation

- UUID objects still pass through uncached (correct - they don't need parsing)
- All exception cases (invalid strings) remain unchanged
- Cache is transparent to callers - same inputs produce equivalent outputs
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Jan 18, 2026
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@github-actions github-actions bot added the community Pull Request from an external contributor label Jan 18, 2026
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Frontend Unit Test Coverage Report

Coverage Summary

Lines Statements Branches Functions
Coverage: 17%
17.4% (4997/28718) 10.78% (2388/22139) 11.53% (724/6278)

Unit Test Results

Tests Skipped Failures Errors Time
1998 0 💤 0 ❌ 0 🔥 25.375s ⏱️

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codecov bot commented Jan 18, 2026

Codecov Report

✅ All modified and coverable lines are covered by tests.
⚠️ Please upload report for BASE (feat/flow-history@545d6ad). Learn more about missing BASE report.

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@@                 Coverage Diff                  @@
##             feat/flow-history   #11345   +/-   ##
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====================================================
  Files                        ?     1413           
  Lines                        ?    67053           
  Branches                     ?     9904           
====================================================
  Hits                         ?    22914           
  Misses                       ?    42938           
  Partials                     ?     1201           
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