⚡️ Speed up method LangFuseTracer.get_required_variable_names by 18% in PR #7183 (feat/global_vars_tracing)

[codeflash-ai]

⚡️ This pull request contains optimizations for PR #7183

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

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

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📄 18% (0.18x) speedup for LangFuseTracer.get_required_variable_names in src/backend/base/langflow/services/tracing/langfuse.py

⏱️ Runtime : 224 microseconds → 190 microseconds (best of 132 runs)

📝 Explanation and details

To improve the performance of the Python program, we need to consider areas that could potentially cause slowdowns. One primary area is unnecessary initializations and redundant calculations. Here's an optimized version.

Changes and Improvements.

1. Usage of __slots__:

   • Added __slots__ to the class to avoid the creation of __dict__ for storing instance attributes. This can save memory and speed up attribute access.

2. Optimized string splitting:

   • Changed trace_name.split(" - ")[-1] to trace_name.rsplit(" - ", 1)[-1]. This is more efficient for the intended use case because rsplit with max split parameter = 1 performs a single split operation from the right.

3. Inline the setup check:

   • Combined the check of config existence and setup in one line using bool() for clarity.

By implementing these changes, the code should perform more efficiently in terms of both speed and memory usage. The function signatures and behavior remain same as before.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 1023 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage

🌀 Generated Regression Tests Details

from __future__ import annotations

from collections import OrderedDict
from uuid import UUID

# imports
import pytest  # used for our unit tests
from langflow.services.tracing.base import BaseTracer
from langflow.services.tracing.langfuse import LangFuseTracer

# unit tests

def test_get_required_variable_names_basic():
    # Basic functionality test
    codeflash_output = LangFuseTracer.get_required_variable_names()

def test_initialization_standard():
    # Standard initialization test
    tracer = LangFuseTracer(
        trace_name="trace - 1234",
        trace_type="type",
        project_name="project",
        trace_id=UUID("12345678-1234-5678-1234-567812345678"),
        user_id="user",
        session_id="session",
        global_vars={"key": "value"}
    )

def test_initialization_missing_optional():
    # Initialization without optional parameters
    tracer = LangFuseTracer(
        trace_name="trace - 1234",
        trace_type="type",
        project_name="project",
        trace_id=UUID("12345678-1234-5678-1234-567812345678"),
    )

def test_initialization_empty_strings():
    # Initialization with empty strings and dictionaries
    tracer = LangFuseTracer(
        trace_name="",
        trace_type="",
        project_name="",
        trace_id=UUID("12345678-1234-5678-1234-567812345678"),
        global_vars={}
    )

def test_initialization_special_characters():
    # Initialization with special characters
    tracer = LangFuseTracer(
        trace_name="trace - !@#$%^&*()",
        trace_type="type!@#$",
        project_name="project!@#$",
        trace_id=UUID("12345678-1234-5678-1234-567812345678"),
    )

def test_initialization_large_data():
    # Initialization with a large number of global variables
    global_vars = {f"key{i}": f"value{i}" for i in range(1000)}
    tracer = LangFuseTracer(
        trace_name="trace - 1234",
        trace_type="type",
        project_name="project",
        trace_id=UUID("12345678-1234-5678-1234-567812345678"),
        global_vars=global_vars
    )


def test_initialization_extremely_long_strings():
    # Initialization with extremely long strings
    long_string = "a" * 10000
    tracer = LangFuseTracer(
        trace_name=long_string,
        trace_type=long_string,
        project_name=long_string,
        trace_id=UUID("12345678-1234-5678-1234-567812345678"),
    )



def test_initialization_special_characters_in_uuid():
    # Initialization with a UUID containing special characters
    with pytest.raises(ValueError):
        LangFuseTracer(
            trace_name="trace - 1234",
            trace_type="type",
            project_name="project",
            trace_id=UUID("12345678-1234-5678-1234-56781234!@#$"),
        )

def test_initialization_empty_uuid():
    # Initialization with an empty UUID
    with pytest.raises(ValueError):
        LangFuseTracer(
            trace_name="trace - 1234",
            trace_type="type",
            project_name="project",
            trace_id=UUID(""),
        )

def test_initialization_conflicting_global_vars():
    # Initialization with global variables that have conflicting keys
    global_vars = {"trace_name": "conflict", "setup_langfuse": "conflict"}
    tracer = LangFuseTracer(
        trace_name="trace - 1234",
        trace_type="type",
        project_name="project",
        trace_id=UUID("12345678-1234-5678-1234-567812345678"),
        global_vars=global_vars,
    )

def test_initialization_mutable_default_arguments():
    # Test if mutable default arguments are shared between instances
    tracer1 = LangFuseTracer(
        trace_name="trace - 1234",
        trace_type="type",
        project_name="project",
        trace_id=UUID("12345678-1234-5678-1234-567812345678"),
    )
    tracer2 = LangFuseTracer(
        trace_name="trace - 5678",
        trace_type="type",
        project_name="project",
        trace_id=UUID("87654321-4321-8765-4321-876543218765"),
    )

def test_initialization_non_ascii_characters():
    # Initialization with non-ASCII characters
    tracer = LangFuseTracer(
        trace_name="トレース - 1234",
        trace_type="タイプ",
        project_name="プロジェクト",
        trace_id=UUID("12345678-1234-5678-1234-567812345678"),
    )

def test_initialization_unusual_characters_in_trace_name():
    # Initialization with unusual characters in trace_name
    tracer = LangFuseTracer(
        trace_name="trace - 1234!@#$%^&*()",
        trace_type="type",
        project_name="project",
        trace_id=UUID("12345678-1234-5678-1234-567812345678"),
    )
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

from __future__ import annotations

import os
import time
from collections import OrderedDict
from uuid import UUID

# imports
import pytest  # used for our unit tests
from langflow.services.tracing.base import BaseTracer
from langflow.services.tracing.langfuse import LangFuseTracer

# unit tests

def test_basic_functionality():
    # Test that the function returns the correct list of required variable names
    expected = ["LANGFUSE_SECRET_KEY", "LANGFUSE_PUBLIC_KEY", "LANGFUSE_HOST"]
    codeflash_output = LangFuseTracer.get_required_variable_names()

def test_multiple_calls():
    # Test that the function returns the same result on multiple calls
    codeflash_output = LangFuseTracer.get_required_variable_names(); result1 = codeflash_output
    codeflash_output = LangFuseTracer.get_required_variable_names(); result2 = codeflash_output

def test_integration_with_env_vars():
    # Test that the function's output can be used to fetch environment variables
    codeflash_output = LangFuseTracer.get_required_variable_names(); required_vars = codeflash_output
    for var in required_vars:
        os.environ[var] = "test_value"
    for var in required_vars:
        pass

def test_performance_and_scalability():
    # Test the function's performance with a large number of calls
    start_time = time.time()
    for _ in range(1000):
        LangFuseTracer.get_required_variable_names()
    end_time = time.time()

def test_deterministic_behavior():
    # Test that the function is deterministic
    codeflash_output = LangFuseTracer.get_required_variable_names(); result1 = codeflash_output
    codeflash_output = LangFuseTracer.get_required_variable_names(); result2 = codeflash_output

def test_real_world_integration():
    # Test the function in a real-world scenario
    codeflash_output = LangFuseTracer.get_required_variable_names(); required_vars = codeflash_output
    for var in required_vars:
        os.environ[var] = "real_value"
    # Simulate real-world usage
    for var in required_vars:
        pass

def test_missing_env_vars():
    # Test the function's behavior when the environment variables are missing
    codeflash_output = LangFuseTracer.get_required_variable_names(); required_vars = codeflash_output
    for var in required_vars:
        if var in os.environ:
            del os.environ[var]
    for var in required_vars:
        pass

def test_compatibility():
    # Test the function across different Python versions and environments
    # This is more of a conceptual test since we can't change Python versions dynamically
    codeflash_output = LangFuseTracer.get_required_variable_names(); result = codeflash_output
    expected = ["LANGFUSE_SECRET_KEY", "LANGFUSE_PUBLIC_KEY", "LANGFUSE_HOST"]
# 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-pr7183-2025-04-11T11.37.34 and push.