⚡️ Speed up method ObjectParser.parse_multiple by 17% in facebook_business/adobjects/objectparser.py

[codeflash-ai]

📄 ObjectParser.parse_multiple() in facebook_business/adobjects/objectparser.py

📈 Performance improved by 17% (0.17x faster)

⏱️ Runtime went down from 2.80 microseconds to 2.40 microseconds (best of 40 runs)

Explanation and details

Here's an optimized version of the provided Python program. The optimizations are primarily focused on removing redundant checks, unnecessary nested iterations, and using more efficient operations where applicable.

Optimization Notes.

1. Remove Redundant Checks: For parse_multiple, there's no longer a need to check if 'data' is a list once more after it has initially been verified.
2. Dictionary Comprehensions: Used dictionary comprehensions within _set_data and export_value for faster data processing.
3. Direct Access Methods: Access dictionary values directly with get rather than checking attributes using getattr.
4. Avoid Nested Imports: The necessary class imports should be at the beginning of the file rather than within the method to avoid repeated import costs. However, this change depends on real usage scenarios and the environment configuration.

The structure and naming conventions remain unchanged for compatibility while focusing on internal optimization for operational efficiencies.

Correctness verification

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

🔘 (none found) − ⚙️ Existing Unit Tests

✅ 14 Passed − 🌀 Generated Regression Tests

(click to show generated tests)

import collections.abc as collections_abc
import json

# imports
import pytest  # used for our unit tests
from facebook_business.adobjects.abstractobject import AbstractObject
from facebook_business.adobjects.objectparser import ObjectParser
# function to test
from facebook_business.exceptions import FacebookBadObjectError
from facebook_business.typechecker import TypeChecker


# unit tests
class TestParseMultiple:
    @pytest.fixture
    def parser(self):
        return ObjectParser(target_class=AbstractObject)

    # Normal Cases
    
import collections as collections_abc
import collections.abc as collections_abc
import json

# imports
import pytest  # used for our unit tests
from facebook_business.adobjects.abstractobject import AbstractObject
from facebook_business.adobjects.objectparser import ObjectParser
# function to test
from facebook_business.exceptions import FacebookBadObjectError
from facebook_business.typechecker import TypeChecker

# unit tests

# Helper class for testing
class MockTargetClass(AbstractObject):
    def __init__(self, api=None):
        super().__init__()

@pytest.fixture
def parser():
    return ObjectParser(api=None, target_class=MockTargetClass)

def test_single_object_in_data(parser):
    response = {'data': {'id': '123', 'name': 'Test Object'}}
    codeflash_output = parser.parse_multiple(response)

def test_single_object_no_data_key(parser):
    response = {'id': '123', 'name': 'Test Object'}
    codeflash_output = parser.parse_multiple(response)

def test_multiple_objects_in_data(parser):
    response = {'data': [{'id': '123', 'name': 'Test Object 1'}, {'id': '456', 'name': 'Test Object 2'}]}
    codeflash_output = parser.parse_multiple(response)


def test_empty_data_list(parser):
    response = {'data': []}
    codeflash_output = parser.parse_multiple(response)



def test_malformed_json_object(parser):
    response = {'data': [{'id': '123', 'name': 'Test Object'}, {'id': '456', 'name': None}]}
    codeflash_output = parser.parse_multiple(response)


def test_nested_objects_in_response(parser):
    response = {'data': [{'id': '123', 'name': 'Test Object', 'nested': {'key': 'value'}}]}
    codeflash_output = parser.parse_multiple(response)

def test_deeply_nested_objects(parser):
    response = {'data': [{'id': '123', 'name': 'Test Object', 'nested': {'key': {'subkey': 'subvalue'}}}]}
    codeflash_output = parser.parse_multiple(response)

def test_large_number_of_objects(parser):
    response = {'data': [{'id': str(i), 'name': f'Test Object {i}'} for i in range(1000)]}
    codeflash_output = parser.parse_multiple(response)
    for i in range(1000):
        pass

def test_complex_nested_structures(parser):
    response = {'data': [{'id': '123', 'name': 'Test Object', 'nested': {'key': {'subkey': {'subsubkey': 'subsubvalue'}}}}]}
    codeflash_output = parser.parse_multiple(response)

def test_custom_parse_method(parser):
    def custom_parse(response, api):
        return {'custom': 'parsed'}
    parser._custom_parse_method = custom_parse
    response = {'data': {'id': '123', 'name': 'Test Object'}}
    codeflash_output = parser.parse_multiple(response)

def test_reuse_object(parser):
    reuse_object = MockTargetClass()
    parser._reuse_object = reuse_object
    response = {'data': {'id': '123', 'name': 'Test Object'}}
    codeflash_output = parser.parse_multiple(response)

def test_high_volume_data(parser):
    response = {'data': [{'id': str(i), 'name': f'Test Object {i}'} for i in range(1000)]}
    codeflash_output = parser.parse_multiple(response)
    for i in range(1000):
        pass
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

🔘 (none found) − ⏪ Replay Tests