How to Pass Arguments In Pytest By Command Line?

To pass arguments in pytest by command line, you can simply add the arguments to the pytest command when running your tests. For example, you can specify the markers to run specific tests, the verbosity level, or any other pytest options that you want to include.

To pass arguments, you can simply add them after the pytest command when running your tests. For example, if you want to specify a particular marker to run specific tests, you can use the "-m" option followed by the marker name. If you want to increase the verbosity level of the output, you can use the "-v" option.

You can also pass custom arguments or options defined in your test code by using the "-o" option followed by the argument name and value.

Overall, passing arguments in pytest by command line is a straightforward process that allows you to customize and control how your tests are run.

How to pass arguments in pytest by command line?

To pass arguments in pytest by command line, you can use the -k option followed by the expression to select specific tests to run based on their name. You can also use the -m option to select tests based on markers.

For example, to run tests containing the word "login" in their name, you can use the following command:

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pytest -k "login"

Or, to run tests marked with the marker "smoke", you can use the following command:

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pytest -m "smoke"

You can also pass custom arguments to your tests by using the -k option followed by the test names or expressions. For example:

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pytest -k "test_login(username='testuser', password='password')"

These are some ways you can pass arguments in pytest by command line.

What is the order of precedence for command line arguments in pytest?

1. Command line options
2. ini-file options
3. conftest.py options
4. test file options
5. test function options

How to validate command line arguments in pytest?

In order to validate command line arguments in pytest, you can use the pytest package along with the argparse module in Python. Here's a general approach to validating command line arguments in pytest:

1. Define your command line arguments using the argparse module in a separate module or script. For example, you can create a cli.py file with the following code:

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import argparse

def parse_args():
    parser = argparse.ArgumentParser(description='Description of your command line arguments')
    parser.add_argument('--arg1', type=str, help='Description of arg1')
    parser.add_argument('--arg2', type=int, help='Description of arg2')
    return parser.parse_args()

1. Create a test file (e.g. test_cli.py) where you can validate the command line arguments using pytest:

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import pytest
from cli import parse_args

def test_cli_args():
    # Test valid command line arguments
    args = parse_args(['--arg1', 'value1', '--arg2', '42'])
    assert args.arg1 == 'value1'
    assert args.arg2 == 42

    # Test invalid command line arguments
    with pytest.raises(SystemExit):
        parse_args(['--arg1', 'value1'])  # missing arg2

1. Run your tests using pytest:

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$ pytest test_cli.py

This will run the tests in test_cli.py and validate the command line arguments using pytest.

This is a basic example of how you can validate command line arguments in pytest. You can customize the test functions and assertions based on your specific requirements and command line arguments.

What is the impact of passing arguments on pytest performance?

Passing arguments to pytest can have a minor impact on performance. Depending on the complexity and size of the arguments being passed, there may be a slight increase in execution time as pytest has to handle and process the arguments before running the test cases. However, the impact is generally negligible for most use cases. It is recommended to optimize the test suite design and structure to minimize the impact of passing arguments on pytest performance.

What is the maximum number of arguments that can be passed in pytest?

There is no specific limit to the number of arguments that can be passed in pytest. It ultimately depends on the system's memory and resource limitations, as well as the complexity of the test cases being executed.