safecatch 1.0.3

A python package that allows you to handle exceptions easily

safecatch

Safecatch is a simple Python package that provides decorators for streamlined exception handling. With safecatch, you can easily catch specific exceptions—or multiple exceptions—by simply decorating your functions, allowing your code to remain clean and focused on business logic.

Features

• safecatch_handler: Catches a specified exception and returns a fallback value or executed fallback function.
• multi_safecatch_handler: Catches multiple exceptions with different fallback values or execute fallback functions based on a provided mapping.

Usage

Single Exception Handling

Use the safecatch_handler decorator to catch a single exception and provide a fallback value or function:

from safecatch.safecatch import safecatch_handler

@safecatch_handler(ZeroDivisionError, 0)
def divide(a, b):
    return a / b

print(divide(10, 2))  # Outputs: 5.0
print(divide(10, 0))  # Outputs: 0 (fallback value when ZeroDivisionError is raised)

Multiple Exception Handling

Use the multi_safecatch_handler to catch multiple exceptions with different fallback values or even execute fallback functions!

from safecatch.multi_safecatch import multi_safecatch_handler

def print_value_error(x):
    print(f"ValueError caught with x={x}")
    return -1

@multi_safecatch_handler({
    ZeroDivisionError: 0,
    ValueError: print_value_error
})
def test_func(x, y):
    if y == 0:
        return x / y  # Raises ZeroDivisionError
    elif y < 0:
        raise ValueError("Negative value!")  # Raises ValueError
    else:
        return x + y

print(test_func(3, 2))   # Outputs: 5 (normal result)
print(test_func(3, 0))   # Outputs: 0 (fallback for ZeroDivisionError)
print(test_func(3, -1))  # Outputs: -1 (fallback for ValueError)

How It Works

Safecatch simplifies error management by abstracting exception handling into reusable decorators. Instead of writing repetitive try/except blocks in your functions, you decorate them with safecatch to handle errors uniformly.

• safecatch_handler:
  This decorator takes two arguments. a specific exception type and a fallback return value. If the decorated function raises the given exception, the decorator intercepts it and returns the fallback value or execute the appropriate fallback function.

• multi_safecatch_handler:
  This decorator accepts a dictionary where keys are exception types and values or functions are the corresponding fallback return. When the decorated function raises an exception, the decorator checks the dictionary for a matching exception type and returns the appropriate fallback value or execute the appropriate fallback function. If no match is found, the exception is propagated as usual.

Testing

Safecatch includes tests written with pytest to ensure its functionality. To run the tests locally, execute:

pip install -e .
pip install tests/requirements.txt
pytest tests/

Contributing

Contributions to safecatch are welcome! If you have suggestions, bug reports, or improvements, please open an issue or submit a pull request on our GitHub repository.