Skip to main content

This is a module for the rapid implementation of test cases with coverage tracking. This module contains a call counter for specific endpoints and their methods. As well as the function of determining the types of tests that need to be counted.

Project description

HI!

This is a framework for API autotests with coverage assessment. Detailed instructions in the process of writing. It is better to check with the author how to use it. Tools are used:

  • pytest
  • httpx
  • allure

Files are required for specific work:

conftest.py - it must have a fixture's inside:

@pytest.fixture(scope="session")
def api_client(domain):
    return ApiClient(domain=domain)
@pytest.fixture(scope='session', autouse=True)
def clear_call_data():
    """Фикстура для очистки данных перед запуском тестов."""
    global call_count, call_type
    api_call_storage.call_count.clear()
    api_call_storage.call_type.clear()
    yield

confpartest.py - It must have variables inside:

swagger_files = {
    'test1': ['local', '../public/swagger/app-openapi.yaml'],
    'test2': ['local', '../public/swagger/app-openapi2.yaml'],
    'test3': ['url', 'https://url.ru']
}

test_types_coverage = ['default', '405', 'param']

The project must have a test that displays information about the coverage in allure. The name of it test_zorro.py:

    async def test_display_final_call_counts(self):
        report_lines = []
        total_coverage_percentage = 0
        total_endpoints = 0
        total_calls_excluding_generation = 0

        for (method, endpoint, description), count in call_count.items():
            types = set(call_type[(method, endpoint, description)])
            total_endpoints += 1

            # Подсчет вызовов, исключая тип 'generation_data'
            if 'generation_data' not in types:
                total_calls_excluding_generation += count

            # Проверка на наличие обязательных типов тестов
            coverage_status = "Недостаточное покрытие ❌"
            matched_types = set(types).intersection(types)  
            count_matched = len(matched_types)

            # Логика для определения статуса покрытия и расчета процента
            if count_matched == len(types):  # Все типы присутствуют
                coverage_status = "Покрытие выполнено ✅"
                total_coverage_percentage += 100
            elif count_matched == 2:  
                coverage_status = "Покрытие выполнено на 66% 🔔"
                total_coverage_percentage += 66
            elif count_matched == 1:  
                coverage_status = "Покрытие выполнено на 33% ❌"
                total_coverage_percentage += 33
            else: 
                coverage_status = "Недостаточное покрытие ❌"
                total_coverage_percentage += 0

            report_line = (
                f"\n{description}\nЭндпоинт: {endpoint}\nМетод: {method} | "
                f"Обращений: {count}, Типы тестов: {', '.join(types)}\n{coverage_status}\n"
            )
            report_lines.append(report_line)

        # Вычисление общего процента покрытия
        if total_endpoints > 0:
            average_coverage_percentage = total_coverage_percentage / total_endpoints
        else:
            average_coverage_percentage = 0

        border = "*" * 50
        summary = f"{border}\nОбщий процент покрытия: {average_coverage_percentage:.2f}%\nОбщее количество вызовов (исключая 'generation_data'): {total_calls_excluding_generation}\n{border}\n"

        # Добавляем сводку в начало отчета
        report_lines.insert(0, summary)

        create_chart(call_count)

        with open('api_call_counts.png', 'rb') as f:
            allure.attach(f.read(), name='Оценка покрытия', attachment_type=allure.attachment_type.PNG)

        allure.attach("\n".join(report_lines), name='Отчет по вызовам API', attachment_type=allure.attachment_type.TEXT)

        assert True

What does the test look like:

    async def test_get(self, api_client):
        endpoint = 'https://ya.ru'
        response = await api_client.make_request(
            'GET',
            endpoint,
            params='limit=1',
            expected_status_code=200,
            validate_model=Models.ValidateGet,
            type=types.type_default
        )
        assert response is not None
        assert isinstance(response, dict)

All available data that the client can accept:

method: str,
endpoint: str,
add_url1: Optional[str] = '',
add_url2: Optional[str] = '',
add_url3: Optional[str] = '',
params: Optional[Dict[str, Any]] = None,
headers: Optional[Dict[str, str]] = None,
data: Optional[Dict[str, Any]] = None,
expected_status_code: Optional[int] = None,
validate_model: Optional[Type[BaseModel]] = None,
type: Optional[str] = None```

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

partest-0.1.32.tar.gz (13.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

partest-0.1.32-py3-none-any.whl (14.2 kB view details)

Uploaded Python 3

File details

Details for the file partest-0.1.32.tar.gz.

File metadata

  • Download URL: partest-0.1.32.tar.gz
  • Upload date:
  • Size: 13.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for partest-0.1.32.tar.gz
Algorithm Hash digest
SHA256 4fe722fec6982217900315a9f47037eb1088ba1a22925c7128ebaa39ecbcf852
MD5 60270eb3f6f00d56f6275f5cd1304900
BLAKE2b-256 3bd9d8f6e44fa454d13260d97cb388541d7280b60605a79ec509823f4dfd9f50

See more details on using hashes here.

File details

Details for the file partest-0.1.32-py3-none-any.whl.

File metadata

  • Download URL: partest-0.1.32-py3-none-any.whl
  • Upload date:
  • Size: 14.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for partest-0.1.32-py3-none-any.whl
Algorithm Hash digest
SHA256 844e3b4b3330183008143e93e0d25b64986fdc0d94a1809341c5b5cc29a4d761
MD5 f669c446cd40a8bd488512eb3c21038b
BLAKE2b-256 81750adaaa9fe6a2ad429c53a4e7a2726507dc6130f7adb7fe73ecd734ce1f24

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page