Refactor file handling and imports for robustness

[doomedraven]

Refactored memory dump logic in analyzer.py to use context managers for safer file handling and replaced os.system with subprocess.run for setting the system date. Improved process status parsing in process.py for better error handling. Switched to importlib.import_module in packages.py for dynamic imports, enhancing code clarity and reliability.

[gemini-code-assist]

Summary of Changes

Hello @doomedraven, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances the robustness, security, and maintainability of the codebase by modernizing several key functionalities. It introduces safer file handling practices, improves the execution of external commands, strengthens process status parsing against malformed data, and updates dynamic module imports to use a more recommended Python approach. These changes collectively contribute to a more stable and secure application environment.

Highlights

• Safer File Handling: The dump_memory function in analyzer/linux/analyzer.py now utilizes context managers (with open(...)) for all file operations, ensuring that file resources are properly closed even if exceptions occur during processing.
• Improved External Command Execution: The prepare function in analyzer/linux/analyzer.py has been updated to use subprocess.run instead of os.system for setting the system date. This change enhances security by preventing shell injection vulnerabilities and provides more robust error handling.
• Robust Process Status Parsing: The get_proc_status function in analyzer/linux/lib/api/process.py now includes explicit checks for colons when parsing lines from /proc/{pid}/status. This makes the parsing logic more resilient to malformed or unexpected input formats.
• Modern Dynamic Imports: The choose_package_class function in analyzer/linux/lib/core/packages.py has been refactored to use importlib.import_module for dynamic module loading, replacing the older __import__ function. This provides a clearer and more Pythonic way to handle dynamic imports.

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[gemini-code-assist]

Code Review

This pull request introduces several valuable refactorings that improve the robustness, security, and maintainability of the codebase. The switch to context managers for file handling in analyzer.py ensures resources are managed safely. Replacing os.system with subprocess.run is a commendable security improvement. The parsing logic in process.py is now more resilient to malformed data, and the use of importlib.import_module in packages.py aligns with modern Python practices. My review includes one suggestion to further optimize memory usage during file processing.