⚡️ Speed up method RunResponse.serialize by 136% in src/backend/base/langflow/api/v1/schemas.py

[codeflash-ai]

📄 RunResponse.serialize in src/backend/base/langflow/api/v1/schemas.py

✨ Performance Summary:

• Speed Increase: 📈 136% (1.36x faster)
• Runtime Reduction: ⏱️ From 29.8 microseconds down to 12.6 microseconds (best of 32 runs)

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📝 Explanation and details

To optimize the given Python program and improve its runtime, you can make several changes.

1. Pre-allocate the serialized_outputs list to avoid multiple list resizing.
2. Access attributes directly instead of using isinstance checks repeatedly.
3. Loop through the outputs only once and append in a single operation.

Here's the optimized version of your code.

This optimized version should run faster due to fewer operations inside the loop and more streamlined logic.

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✅ Correctness verification

The new optimized code was tested for correctness. The results are listed below:

Test	Status	Details
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 6 Passed	See below
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Coverage	88.9%

🌀 Generated Regression Tests Details

Click to view details

import pytest  # used for our unit tests
from langflow.api.v1.schemas import RunResponse
from pydantic import BaseModel, Field, model_serializer


# Mock ResultData class for testing
class ResultData(BaseModel):
    field1: str
    field2: str
from langflow.api.v1.schemas import RunResponse


# unit tests
def test_empty_outputs():
    # Test with empty outputs list
    response = RunResponse(session_id="123", outputs=[])
    codeflash_output = response.serialize()










import pytest  # used for our unit tests
from langflow.api.v1.schemas import RunResponse
from pydantic import BaseModel, Field, ValidationError, model_serializer


# function to test
class ResultData(BaseModel):
    field: str = "default"

class AnotherModel(BaseModel):
    another_field: int = 0
from langflow.api.v1.schemas import RunResponse

# unit tests

# Basic Functionality
def test_empty_outputs():
    response = RunResponse(session_id="123", outputs=[])
    codeflash_output = response.serialize()





def test_outputs_containing_complex_nested_structures():
    response = RunResponse(session_id="123", outputs=[{"nested": ResultData(field="value")}])
    codeflash_output = response.serialize()

# Edge Cases

def test_outputs_containing_complex_nested_structures():
    response = RunResponse(session_id="123", outputs=[{"key": [ResultData(field="value"), None]}])
    codeflash_output = response.serialize()

# Large Scale Test Cases



def test_stress_test_with_large_and_complex_nested_structures():
    response = RunResponse(session_id="123", outputs=[{"key": [ResultData(field="value") for _ in range(1000)]} for _ in range(10)])
    codeflash_output = response.serialize()

# Error Handling
def test_missing_session_id():
    with pytest.raises(ValidationError):
        RunResponse(outputs=[ResultData(field="value")])

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