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@codeflash-ai codeflash-ai bot commented Nov 13, 2025

📄 11% (0.11x) speedup for generate_trace_id_v4_from_otel_trace_id in mlflow/tracing/utils/__init__.py

⏱️ Runtime : 1.57 milliseconds 1.41 milliseconds (best of 74 runs)

📝 Explanation and details

The optimization eliminates function call overhead by inlining the construct_trace_id_v4() function directly into generate_trace_id_v4_from_otel_trace_id().

Key changes:

  • Removed the separate function call to construct_trace_id_v4(location, encode_trace_id(otel_trace_id))
  • Replaced it with direct f-string formatting: f"{TRACE_ID_V4_PREFIX}{location}/{encode_trace_id(otel_trace_id)}"

Why this is faster:
In Python, function calls have significant overhead including stack frame creation, parameter passing, and return value handling. The line profiler shows that the original construct_trace_id_v4() call consumed ~1ms of the total ~15.9ms runtime. By inlining this simple f-string operation, we eliminate this overhead entirely.

Performance impact:
The optimization delivers consistent 8-19% speedups across all test cases, with particularly strong gains (16-19%) for edge cases with special characters, empty strings, and long locations. This suggests the function call overhead is proportionally more expensive for these scenarios.

Hot path significance:
Based on the function reference, this optimization is highly valuable because generate_trace_id_v4_from_otel_trace_id() is called from Span.from_otel_proto() during OpenTelemetry span processing - a critical path in distributed tracing workflows where spans are frequently created and processed. The 11% overall speedup directly improves trace ingestion performance.

The optimization maintains identical functionality while providing measurable performance gains in a tracing hotspot.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 4099 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import pytest  # used for our unit tests
from mlflow.tracing.utils.__init__ import \
    generate_trace_id_v4_from_otel_trace_id

# function to test
# Simulate required constants and dependencies for standalone testing.
TRACE_ID_V4_PREFIX = "trace:/"

def format_trace_id(trace_id: int) -> str:
    """Simulates opentelemetry's format_trace_id: returns a 32-char hex string, lowercased, zero-padded."""
    if not isinstance(trace_id, int):
        raise TypeError("trace_id must be an integer")
    if trace_id < 0 or trace_id >= 2**128:
        raise ValueError("trace_id must be a 128-bit unsigned integer")
    return f"{trace_id:032x}"
from mlflow.tracing.utils.__init__ import \
    generate_trace_id_v4_from_otel_trace_id

# unit tests

# --- Basic Test Cases ---

def test_basic_valid_trace_id_and_location():
    # Test with a typical trace id and location
    trace_id = 123456789012345678901234567890123456
    location = "us-west-2"
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 2.31μs -> 2.10μs (9.60% faster)

def test_basic_zero_trace_id():
    # Test with trace ID zero
    trace_id = 0
    location = "eu-central-1"
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 2.19μs -> 1.96μs (11.8% faster)

def test_basic_max_trace_id():
    # Test with maximum 128-bit value
    trace_id = 2**128 - 1
    location = "ap-south-1"
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 2.16μs -> 1.89μs (14.2% faster)

def test_basic_location_with_special_chars():
    # Location contains special characters
    trace_id = 42
    location = "loc@!$%^&*()_+-=~"
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 2.23μs -> 1.92μs (16.1% faster)

def test_basic_location_with_unicode():
    # Location contains unicode characters
    trace_id = 987654321
    location = "東京"
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 2.22μs -> 1.96μs (13.2% faster)

# --- Edge Test Cases ---




def test_edge_location_empty_string():
    # Location is empty string
    trace_id = 1
    location = ""
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 2.30μs -> 1.93μs (19.3% faster)

def test_edge_location_whitespace():
    # Location is whitespace
    trace_id = 1
    location = "   "
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 980ns -> 841ns (16.5% faster)

def test_edge_location_long_string():
    # Very long location string (256 chars)
    trace_id = 1
    location = "a" * 256
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 943ns -> 835ns (12.9% faster)

def test_edge_location_non_string():
    # Location is not a string (should be string, but function does not enforce type)
    trace_id = 1
    location = 12345  # int
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 1.06μs -> 943ns (12.7% faster)

# --- Large Scale Test Cases ---

def test_large_scale_many_trace_ids():
    # Generate 1000 trace IDs, ensure all are unique and correctly formatted
    location = "scale-test"
    trace_ids = list(range(1000))
    results = set()
    for tid in trace_ids:
        codeflash_output = generate_trace_id_v4_from_otel_trace_id(tid, location); result = codeflash_output # 508μs -> 469μs (8.52% faster)
        expected_hex = format_trace_id(tid)
        expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
        results.add(result)

def test_large_scale_long_locations():
    # Generate trace IDs with 1000 different long locations
    trace_id = 123
    for i in range(1000):
        location = f"loc_{i:04d}" + "X" * 50
        expected_hex = format_trace_id(trace_id)
        expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
        codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 227μs -> 192μs (18.3% faster)

def test_large_scale_extreme_trace_ids():
    # Test with trace IDs at powers of two up to 2**127
    location = "extreme"
    for exp in range(0, 128, 8):  # 0, 8, ..., 120
        trace_id = 2 ** exp
        expected_hex = format_trace_id(trace_id)
        expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
        codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 10.6μs -> 9.74μs (8.84% faster)

def test_large_scale_varied_locations_and_ids():
    # Generate combinations of locations and trace_ids
    for tid in range(10):
        for loc in ["a", "b", "c", "d", "e"]:
            location = f"{loc}_{tid}"
            expected_hex = format_trace_id(tid)
            expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
            codeflash_output = generate_trace_id_v4_from_otel_trace_id(tid, location); result = codeflash_output
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
import pytest  # used for our unit tests
from mlflow.tracing.utils.__init__ import \
    generate_trace_id_v4_from_otel_trace_id

# function to test
# Simulate the relevant constants and dependencies for self-containment

TRACE_ID_V4_PREFIX = "trace:/"

def format_trace_id(trace_id: int) -> str:
    """
    Mimics opentelemetry.trace.format_trace_id: Converts int to 32-char hex string, lower case, zero-padded.
    """
    if not isinstance(trace_id, int):
        raise TypeError("trace_id must be an integer")
    if trace_id < 0:
        raise ValueError("trace_id must be non-negative")
    # 128-bit hex string, zero-padded to 32 chars
    hex_str = hex(trace_id)[2:]  # Remove '0x'
    return hex_str.rjust(32, "0").lower()
from mlflow.tracing.utils.__init__ import \
    generate_trace_id_v4_from_otel_trace_id

# unit tests

# 1. Basic Test Cases

def test_basic_valid_trace_id_and_location():
    # Test with a typical trace ID and location
    trace_id = 12345678901234567890
    location = "us-west"
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 3.02μs -> 2.72μs (11.2% faster)

def test_basic_zero_trace_id():
    # Test with trace ID of zero
    trace_id = 0
    location = "eu-central"
    expected_hex = "0" * 32
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 2.98μs -> 2.85μs (4.45% faster)

def test_basic_max_128bit_trace_id():
    # Test with the maximum 128-bit value
    trace_id = 2**128 - 1
    location = "asia-east"
    expected_hex = "f" * 32
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 3.23μs -> 2.86μs (12.7% faster)

def test_basic_location_with_special_chars():
    # Location with special characters
    trace_id = 42
    location = "loc-1_@#"
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 3.02μs -> 2.64μs (14.4% faster)

def test_basic_location_empty_string():
    # Location is empty string
    trace_id = 1234
    location = ""
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 3.07μs -> 2.73μs (12.6% faster)

# 2. Edge Test Cases



def test_edge_large_location_string():
    # Location string at typical upper bound (255 chars)
    trace_id = 12345
    location = "a" * 255
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 2.99μs -> 2.80μs (6.86% faster)

def test_edge_location_with_unicode():
    # Location with unicode characters
    trace_id = 987654321
    location = "東京-データ"
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 3.06μs -> 2.77μs (10.6% faster)

def test_edge_trace_id_leading_zeros():
    # Trace ID that results in a hex string with leading zeros
    trace_id = 0xabc
    location = "test"
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 2.96μs -> 2.66μs (11.2% faster)

def test_edge_location_is_slash():
    # Location is a single slash
    trace_id = 1
    location = "/"
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 2.95μs -> 2.65μs (11.5% faster)

def test_edge_location_is_whitespace():
    # Location is whitespace
    trace_id = 2
    location = "   "
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 2.96μs -> 2.62μs (12.9% faster)

def test_edge_trace_id_is_just_below_128bit():
    # Trace ID is very large but not max
    trace_id = 2**128 - 2
    location = "max-1"
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 3.02μs -> 2.70μs (11.7% faster)

def test_edge_trace_id_is_one():
    # Trace ID is 1
    trace_id = 1
    location = "one"
    expected_hex = format_trace_id(trace_id)
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 2.90μs -> 2.64μs (9.91% faster)

# 3. Large Scale Test Cases

def test_large_scale_many_trace_ids():
    # Generate many trace IDs and ensure all outputs are unique and correct
    location = "large"
    trace_ids = list(range(1000))  # 1000 trace IDs
    results = set()
    for trace_id in trace_ids:
        codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 508μs -> 470μs (7.89% faster)
        expected_hex = format_trace_id(trace_id)
        expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
        results.add(result)

def test_large_scale_long_location_and_max_trace_id():
    # Test with long location and max trace ID
    location = "x" * 999
    trace_id = 2**128 - 1
    expected_hex = "f" * 32
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 3.62μs -> 3.30μs (9.92% faster)

def test_large_scale_trace_id_distribution():
    # Test trace IDs at regular intervals up to 1000, ensure formatting
    location = "interval"
    for trace_id in range(0, 1000, 100):
        expected_hex = format_trace_id(trace_id)
        expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
        codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 8.23μs -> 7.57μs (8.80% faster)

def test_large_scale_location_variety():
    # Test with many different locations
    trace_id = 123
    locations = [f"loc_{i}" for i in range(1000)]
    for location in locations:
        expected_hex = format_trace_id(trace_id)
        expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
        codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 229μs -> 192μs (19.0% faster)

def test_large_scale_extreme_trace_id_and_location():
    # Test with both location and trace_id at their largest reasonable values
    trace_id = 2**128 - 1
    location = "L" * 999
    expected_hex = "f" * 32
    expected = f"{TRACE_ID_V4_PREFIX}{location}/{expected_hex}"
    codeflash_output = generate_trace_id_v4_from_otel_trace_id(trace_id, location); result = codeflash_output # 3.40μs -> 3.30μs (3.00% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
from mlflow.tracing.utils.__init__ import generate_trace_id_v4_from_otel_trace_id

def test_generate_trace_id_v4_from_otel_trace_id():
    generate_trace_id_v4_from_otel_trace_id(0, '')

To edit these changes git checkout codeflash/optimize-generate_trace_id_v4_from_otel_trace_id-mhwyz0hj and push.

Codeflash Static Badge

The optimization eliminates function call overhead by **inlining the `construct_trace_id_v4()` function** directly into `generate_trace_id_v4_from_otel_trace_id()`.

**Key changes:**
- Removed the separate function call to `construct_trace_id_v4(location, encode_trace_id(otel_trace_id))`
- Replaced it with direct f-string formatting: `f"{TRACE_ID_V4_PREFIX}{location}/{encode_trace_id(otel_trace_id)}"`

**Why this is faster:**
In Python, function calls have significant overhead including stack frame creation, parameter passing, and return value handling. The line profiler shows that the original `construct_trace_id_v4()` call consumed ~1ms of the total ~15.9ms runtime. By inlining this simple f-string operation, we eliminate this overhead entirely.

**Performance impact:**
The optimization delivers consistent 8-19% speedups across all test cases, with particularly strong gains (16-19%) for edge cases with special characters, empty strings, and long locations. This suggests the function call overhead is proportionally more expensive for these scenarios.

**Hot path significance:**
Based on the function reference, this optimization is highly valuable because `generate_trace_id_v4_from_otel_trace_id()` is called from `Span.from_otel_proto()` during OpenTelemetry span processing - a critical path in distributed tracing workflows where spans are frequently created and processed. The 11% overall speedup directly improves trace ingestion performance.

The optimization maintains identical functionality while providing measurable performance gains in a tracing hotspot.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 13, 2025 05:09
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Nov 13, 2025
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