⚡️ Speed up method ServiceNowResponse.to_dict by 2,601%

[codeflash-ai]

📄 2,601% (26.01x) speedup for ServiceNowResponse.to_dict in backend/python/app/sources/client/servicenow/servicenow.py

⏱️ Runtime : 632 microseconds → 23.4 microseconds (best of 269 runs)

📝 Explanation and details

The optimization replaces Pydantic's model_dump() method with a direct dictionary conversion using dict(self.__dict__).

Key Change: Instead of calling Pydantic's heavyweight serialization method, the code directly accesses the instance's internal __dict__ attribute and wraps it in a dict() constructor.

Why This is Faster: Pydantic's model_dump() performs extensive validation, type checking, field processing, and handles complex serialization rules. In contrast, dict(self.__dict__) simply creates a shallow copy of the instance's attribute dictionary without any validation overhead. The line profiler shows the per-hit time dropped from 18,844 ns to 1,177 ns - a 16x improvement per call.

Performance Benefits: This optimization delivers a 2601% speedup (from 632μs to 23.4μs) because it eliminates Pydantic's serialization pipeline entirely. The __dict__ access is a simple attribute lookup followed by a dictionary copy operation.

Test Case Suitability: The optimization works well across all test scenarios - from simple cases with just a success field to complex nested data structures with 1000+ elements. It's particularly effective for the large-scale test cases that would normally trigger more expensive Pydantic processing, while maintaining identical output for all data types including None values, nested dictionaries, lists, and unicode characters.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 584 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	✅ 2 Passed
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests and Runtime

from typing import Any, Dict, Optional

# imports
import pytest  # used for our unit tests
from app.sources.client.servicenow.servicenow import ServiceNowResponse
# function to test
from pydantic import BaseModel

# unit tests

# ----------------------
# Basic Test Cases
# ----------------------

def test_to_dict_success_true_with_data():
    # Test normal case: success True, data present, no error/message
    resp = ServiceNowResponse(success=True, data={"id": 1, "value": "foo"})
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_success_false_with_error():
    # Test normal case: success False, error present, no data/message
    resp = ServiceNowResponse(success=False, error="Some error occurred")
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_with_message_only():
    # Test normal case: only message is set
    resp = ServiceNowResponse(success=True, message="Operation completed")
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_all_fields():
    # Test normal case: all fields set
    resp = ServiceNowResponse(
        success=True,
        data={"foo": 123},
        error="no error",
        message="done"
    )
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_minimal_success():
    # Test minimal input: only required field
    resp = ServiceNowResponse(success=True)
    codeflash_output = resp.to_dict(); d = codeflash_output

# ----------------------
# Edge Test Cases
# ----------------------

def test_to_dict_empty_data_dict():
    # Test edge: data is an empty dict
    resp = ServiceNowResponse(success=True, data={})
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_data_with_none_value():
    # Test edge: data dict contains None value
    resp = ServiceNowResponse(success=True, data={"a": None, "b": 2})
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_data_with_nested_dict():
    # Test edge: data dict contains nested dict
    resp = ServiceNowResponse(success=True, data={"outer": {"inner": "val"}})
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_error_and_message_empty_strings():
    # Test edge: error and message are empty strings
    resp = ServiceNowResponse(success=False, error="", message="")
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_data_with_various_types():
    # Test edge: data dict contains various types
    resp = ServiceNowResponse(success=True, data={
        "int": 1,
        "float": 2.5,
        "bool": False,
        "list": [1, 2, 3],
        "dict": {"a": "b"},
        "none": None
    })
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_data_is_none_explicit():
    # Test edge: data is explicitly set to None
    resp = ServiceNowResponse(success=True, data=None)
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_with_unicode_and_special_chars():
    # Test edge: fields contain unicode and special characters
    resp = ServiceNowResponse(
        success=True,
        data={"emoji": "😀", "special": "©®™✓"},
        message="操作成功",
        error="خطأ"
    )
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_with_long_strings():
    # Test edge: very long string fields
    long_str = "x" * 1000
    resp = ServiceNowResponse(success=False, error=long_str, message=long_str)
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_data_with_empty_list_and_dict():
    # Test edge: data contains empty list and dict
    resp = ServiceNowResponse(success=True, data={"empty_list": [], "empty_dict": {}})
    codeflash_output = resp.to_dict(); d = codeflash_output

# ----------------------
# Large Scale Test Cases
# ----------------------

def test_to_dict_large_data_dict():
    # Test large data dict (up to 1000 items)
    data = {f"key{i}": i for i in range(1000)}
    resp = ServiceNowResponse(success=True, data=data)
    codeflash_output = resp.to_dict(); d = codeflash_output
    for i in range(0, 1000, 100):  # spot check a few keys
        pass

def test_to_dict_large_nested_data():
    # Test large nested data structure
    nested = {"a": [{"b": i, "c": [j for j in range(10)]} for i in range(100)]}
    resp = ServiceNowResponse(success=True, data=nested)
    codeflash_output = resp.to_dict(); d = codeflash_output
    for item in d["data"]["a"]:
        pass

def test_to_dict_many_instances():
    # Test creating and serializing many instances
    responses = [
        ServiceNowResponse(success=bool(i % 2), data={"id": i})
        for i in range(500)
    ]
    dicts = [r.to_dict() for r in responses]
    for i, d in enumerate(dicts):
        pass

def test_to_dict_large_error_and_message():
    # Test large error and message strings
    large_error = "E" * 900
    large_message = "M" * 950
    resp = ServiceNowResponse(success=False, error=large_error, message=large_message)
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_large_data_with_varied_types():
    # Test large data dict with varied types
    data = {
        f"key{i}": [j for j in range(10)] if i % 2 == 0 else {"inner": i}
        for i in range(500)
    }
    resp = ServiceNowResponse(success=True, data=data)
    codeflash_output = resp.to_dict(); d = codeflash_output
    for i in range(0, 500, 50):
        if i % 2 == 0:
            pass
        else:
            pass
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from typing import Any, Dict, Optional

# imports
import pytest
from app.sources.client.servicenow.servicenow import ServiceNowResponse
# function to test
from pydantic import BaseModel

# unit tests

# 1. Basic Test Cases

def test_to_dict_success_only():
    """Test with only the required 'success' field."""
    resp = ServiceNowResponse(success=True)
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_success_false():
    """Test with 'success' set to False."""
    resp = ServiceNowResponse(success=False)
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_with_data():
    """Test with 'data' field provided."""
    resp = ServiceNowResponse(success=True, data={"foo": "bar"})
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_with_error_and_message():
    """Test with 'error' and 'message' fields provided."""
    resp = ServiceNowResponse(success=False, error="ERR", message="Something went wrong")
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_all_fields():
    """Test with all fields provided."""
    resp = ServiceNowResponse(
        success=True,
        data={"id": 123, "status": "ok"},
        error="",
        message="All good"
    )
    codeflash_output = resp.to_dict(); d = codeflash_output

# 2. Edge Test Cases

def test_to_dict_data_empty_dict():
    """Test with 'data' as an empty dictionary."""
    resp = ServiceNowResponse(success=True, data={})
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_error_empty_string():
    """Test with 'error' as an empty string."""
    resp = ServiceNowResponse(success=False, error="")
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_message_empty_string():
    """Test with 'message' as an empty string."""
    resp = ServiceNowResponse(success=True, message="")
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_data_with_none_values():
    """Test with 'data' containing None values."""
    resp = ServiceNowResponse(success=True, data={"a": None, "b": 2})
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_data_with_nested_dict():
    """Test with 'data' containing nested dictionaries."""
    resp = ServiceNowResponse(success=True, data={"outer": {"inner": 1}})
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_data_with_various_types():
    """Test with 'data' containing various types."""
    resp = ServiceNowResponse(success=True, data={"int": 1, "float": 2.5, "bool": False, "list": [1,2], "none": None})
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_error_and_message_none():
    """Test with 'error' and 'message' explicitly set to None."""
    resp = ServiceNowResponse(success=True, error=None, message=None)
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_data_with_special_characters():
    """Test with 'data' containing special characters."""
    resp = ServiceNowResponse(success=True, data={"weird": "!@#$%^&*()_+-=[]{};':\",.<>/?\\|`~"})
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_data_with_unicode():
    """Test with 'data' containing unicode characters."""
    resp = ServiceNowResponse(success=True, data={"emoji": "😀", "nonlatin": "你好"})
    codeflash_output = resp.to_dict(); d = codeflash_output



def test_to_dict_data_with_list_value():
    """Test with 'data' containing a list value."""
    resp = ServiceNowResponse(success=True, data={"numbers": [1, 2, 3]})
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_data_with_tuple_value():
    """Test with 'data' containing a tuple value."""
    resp = ServiceNowResponse(success=True, data={"coords": (1, 2)})
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_data_with_set_value():
    """Test with 'data' containing a set value."""
    resp = ServiceNowResponse(success=True, data={"unique": {1, 2, 3}})
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_data_with_none():
    """Test with 'data' explicitly set to None."""
    resp = ServiceNowResponse(success=True, data=None)
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_all_fields_none():
    """Test with all optional fields set to None."""
    resp = ServiceNowResponse(success=True, data=None, error=None, message=None)
    codeflash_output = resp.to_dict(); d = codeflash_output

# 3. Large Scale Test Cases

def test_to_dict_large_data_dict():
    """Test with a large 'data' dictionary (up to 1000 elements)."""
    large_data = {f"key{i}": i for i in range(1000)}
    resp = ServiceNowResponse(success=True, data=large_data)
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_large_nested_data():
    """Test with a large nested 'data' dictionary."""
    nested = {f"outer{i}": {"inner": i} for i in range(500)}
    resp = ServiceNowResponse(success=True, data=nested)
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_large_list_in_data():
    """Test with a large list inside 'data'."""
    big_list = list(range(1000))
    resp = ServiceNowResponse(success=True, data={"numbers": big_list})
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_large_mixed_data():
    """Test with a large, complex 'data' structure."""
    complex_data = {
        "ints": list(range(500)),
        "dicts": [{f"k{j}": j for j in range(10)} for _ in range(10)],
        "nested": {f"x{i}": {"y": [i, i+1, i+2]} for i in range(50)},
        "empty": {},
        "none": None
    }
    resp = ServiceNowResponse(success=True, data=complex_data)
    codeflash_output = resp.to_dict(); d = codeflash_output

def test_to_dict_performance_large():
    """Test that to_dict does not raise or hang with large input."""
    import time
    big_data = {str(i): i for i in range(999)}
    resp = ServiceNowResponse(success=True, data=big_data)
    start = time.time()
    codeflash_output = resp.to_dict(); d = codeflash_output
    duration = time.time() - start
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from app.sources.client.servicenow.servicenow import ServiceNowResponse

def test_ServiceNowResponse_to_dict():
    ServiceNowResponse.to_dict(ServiceNowResponse(success=False, data={}, error='', message=''))

🔎 Concolic Coverage Tests and Runtime

To edit these changes git checkout codeflash/optimize-ServiceNowResponse.to_dict-mhe30s1t and push.