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How to effectively manage resource cleanup when using Python's context managers with custom classes?

👀 Views: 82 đŸ’Ŧ Answers: 1 📅 Created: 2025-06-10
python context-managers resource-management Python

I've spent hours debugging this and I'm wondering if anyone has experience with I'm getting frustrated with I'm sure I'm missing something obvious here, but I'm working on a Python application where I'm using custom context managers to handle file operations... I'm working with issues with resource cleanup, especially when exceptions occur. Here's a simplified version of my context manager: ```python class FileHandler: def __init__(self, filename): self.filename = filename self.file = None def __enter__(self): self.file = open(self.filename, 'r') return self.file def __exit__(self, exc_type, exc_value, traceback): if self.file: self.file.close() ``` I use it like this: ```python with FileHandler('test.txt') as f: data = f.read() ``` The question arises when I have a logic behavior in my reading code, such as trying to read past the end of the file, which raises an exception. In this case, I notice that the file does not close properly. I also tried adding explicit cleanup in the `__exit__` method, but that didn't seem to help. The behavior I get is: `ValueError: I/O operation on closed file`. I want to ensure that the file is always closed, regardless of whether an exception occurs. What can I do to fix this? Any additional best practices for resource management in Python would be appreciated. Am I missing something obvious? Thanks for taking the time to read this! This is part of a larger application I'm building. Thanks for any help you can provide! I'm developing on CentOS with Python.