vipentium 1.0.0

Powerful & user-friendly Python testing – streamlined workflows

🚀🔬 vipentium: A Comprehensive Python Testing Framework

vipentium is a robust and user-friendly Python testing framework engineered to streamline your testing process. It provides a rich set of features to facilitate efficient test creation and execution.

✨ Key Features

• 🔍 Auto Test Discovery: Automatically identifies test files (prefixed with test_), modules, and directories within a specified path, simplifying test organization and execution.
• ⚙️ Parameterized Testing (@parameters): Enables running a single test function with multiple sets of input data. You can provide tuples of arguments or dictionaries of keyword arguments, optionally naming each parameter set for clearer reporting.
• ⏳ Asynchronous Test Support (async/await): Fully supports testing asynchronous Python code written using async and await keywords, ensuring compatibility with modern Python concurrency.
• ⏰ Timeout Control (@timeout): Allows setting a maximum execution time (in seconds) for individual test methods. If a test exceeds this limit, it's automatically marked as failed, preventing indefinite hangs.
• 🔄 Test Retries (@retry): Provides a mechanism to automatically re-run failing tests a specified number of times. This is particularly useful for handling tests that might occasionally fail due to external factors or non-deterministic behavior.
• 💨 Parallel Execution (--parallel, --process): Significantly reduces test execution time by running tests concurrently. The --parallel flag uses threads, while the --process flag utilizes separate processes for better isolation (requires --parallel).
• 🔌 Plugin Architecture: Offers a flexible plugin system that allows you to extend the framework's functionality. You can create custom plugins to hook into various stages of the test lifecycle (e.g., before/after tests, suite start/end).
• 🛠️ Enhanced Fixture Management (@fixture): Introduces a powerful fixture system for managing test dependencies and setup/cleanup operations. Fixtures support dependency injection, allowing test methods to receive required resources as arguments. Fixture scopes (function, session) control their lifecycle.
• 🏷️ Test Filtering with Markers (@mark, --mark): Enables tagging test methods with descriptive labels using the @mark decorator. You can then use the --mark command-line option to selectively run tests based on these markers.
• 🗣️ Verbose Output (--verbose): Provides more detailed output during test execution, including the names of discovered tests, the status of each test (pass/fail), execution times, and any error messages, enhanced with ANSI color codes for better readability.
• 📊 Advanced Reporting (--report-json, --report-html): Supports generating comprehensive test reports in two formats:
  • JSON (--report-json <filename>): Creates a structured JSON file containing a summary of the test run and detailed results for each test.
  • HTML (--report-html <filename>): Generates a user-friendly HTML report with a summary and detailed test results presented in a web browser.

🕹️ Getting Started

pip install vipentium

---
vipentium <test_path> [options] 

Replace <test_path> with the path to the directory, file, or module containing your tests.

Command-Line Options

Option	Description
<test_path>	The path to the directory, file, or module where vipentium should discover and run tests.
--parallel	Enable parallel test execution using threads for potentially faster test runs.
--process	Use separate processes for parallel test execution (requires --parallel). Provides better isolation.
--verbose	Enable verbose output, showing more details about the test execution process.
--report-json <filename>	Generate a test report in JSON format and save it to the specified filename.
--report-html <filename>	Generate a test report in HTML format and save it to the specified filename.
--mark <marker>	Only run tests that are decorated with the specified marker. This option can be used multiple times.

🧪 Writing Test Cases

1. Test File Naming: Name your test files with the prefix test_ (e.g., test_utils.py).
2. Test Class Definition: Create classes that inherit from the TestCase base class provided by vipentium.
3. Test Method Definition: Define individual test methods within your test classes. These methods must start with the prefix test_ (e.g., test_calculate_sum).
4. Assertions: Use the assert_equal(a, b) method provided by the TestCase class to compare expected and actual results. You can also use standard Python assert statements.
5. Decorators for Enhanced Testing:
   • @parameters(*args, **kwargs): Apply this decorator to a test method to run it with multiple sets of arguments. You can provide individual tuples or a list of tuples. For named parameters, use a dictionary with keys "args", "kwargs", and optionally "name".
   • @timeout(seconds): Decorate a test method to set a maximum execution time in seconds.
   • @retry(times): Decorate a test method to specify the number of times it should be automatically retried upon failure.
   • @mark(*tags): Decorate a test method with one or more marker tags (strings).
   • @fixture(scope="function"|"session"): Decorate a function to define a test fixture. The scope argument determines the fixture's lifecycle.

from vipentium import TestCase, parameters, timeout, retry, mark, fixture

@fixture
def setup_data():
    return {"user_id": 123, "username": "testuser"}

@mark("user", "integration")
class TestUserOperations(TestCase):
    def setUp(self):
        self.api_client = ... # Initialize an API client

    def tearDown(self):
        pass # Clean up resources

    @parameters((1, 2, 3, "positive"), (-1, 1, 0, "negative_zero"), name="addition_cases")
    def test_add(self, a, b, expected, case_name):
        self.assert_equal(a + b, expected)

    @timeout(3)
    @retry(2)
    def test_api_request(self, setup_data):
        user = self.api_client.get_user(setup_data["user_id"])
        self.assert_equal(user["username"], setup_data["username"])

    @mark("database")
    def test_database_connection(self):
        db = ... # Connect to database
        self.assertTrue(db.is_connected())
        db.close()

🔌 Extending with Plugins

vipentium's plugin system allows you to customize and extend its behavior. To create a plugin:

1. Create a class that inherits from the Plugin base class provided by vipentium.
2. Override the available hook methods (before_test, after_test, on_start_suite, on_end_suite) to implement your desired actions.
3. Register your plugin using the register_plugin() function.

from vipentium import Plugin, register_plugin

class CustomReportPlugin(Plugin):
    def after_test(self, test_name, test_class, method_name, parameters, success, message, duration):
        if success:
            print(f"[CUSTOM REPORT] Test '{test_name}' passed in {duration:.2f}s")
        else:
            print(f"[CUSTOM REPORT] Test '{test_name}' failed: {message}")

def load_my_plugins():
    register_plugin(CustomReportPlugin())

# Make sure to call load_my_plugins() before running your tests.

📊 Reporting

vipentium can generate detailed reports of your test execution:

• JSON Report: A structured .json file containing a summary of the test run (total, passed, failed, duration) and a list of individual test results with their names, status, duration, and any failure messages.
• HTML Report: A human-readable .html file presenting the test summary and detailed results in a well-formatted web page.

Use the --report-json <filename> and --report-html <filename> command-line options to specify the names of the generated report files.

📜 License

MIT | @vipentium