python-storage-abstraction

Define a protocol-based storage abstraction for testable file I/O.

1|2|Updated Dec 4, 2025
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npx skills add https://github.com/co-labs-co/context-harness --skill python-storage-abstraction
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Skill: python-storage-abstraction
Source: https://github.com/co-labs-co/context-harness/tree/main/.opencode/skill/python-storage-abstraction
Command: npx skills add https://github.com/co-labs-co/context-harness --skill python-storage-abstraction

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The Python Storage Protocol Pattern provides a clean, testable abstraction layer for filesystem-like operations using Python's typing.Protocol. It enables dependency injection of storage backends and avoids filesystem side effects in tests.

Core Features & Use Cases

  • Testability: Use a MemoryStorage in tests to simulate file I/O without touching disk.
  • Flexibility: Swap backends (filesystem, in-memory, or mock) without changing business logic.
  • Architecture: Promote clean separation of concerns by programming to a protocol rather than concrete implementations.
  • Use Case: Build services that persist data using a storage interface and verify behavior via unit tests with in-memory storage.

Quick Start

  • Instantiate a MemoryStorage and inject it into your service to perform in-memory reads and writes, enabling fast, deterministic tests without touching the filesystem.
  • Run your unit tests to validate storage-backed logic.

Frequently Asked Questions about python-storage-abstraction

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I test Python file I/O operations without touching the real filesystem?

You can test Python file I/O operations without touching the real filesystem by defining a Protocol-based storage abstraction and injecting an in-memory storage backend into your services during unit tests.

What is the Python Protocol pattern for storage abstraction?

The Python Protocol pattern for storage abstraction defines a contract with methods like read, write, delete, and directory management, allowing services to program to an interface rather than a concrete filesystem implementation.

How do I use dependency injection to swap storage backends in Python?

Use dependency injection to swap storage backends in Python by defining a StorageProtocol and passing interchangeable implementations, such as MemoryStorage or filesystem storage, into your service constructors.

Can I simulate file reads and writes in memory for Python unit tests?

Yes, you can simulate file reads and writes in memory for Python unit tests by instantiating a MemoryStorage backend that fulfills the StorageProtocol contract and injecting it into your service.

Why should I use a storage protocol instead of direct filesystem calls in Python?

You should use a storage protocol instead of direct filesystem calls to promote clean architecture, separate concerns, and ensure testability by avoiding filesystem side effects in your unit tests.

Does the storage abstraction support directory management methods?

Yes, the storage abstraction supports directory management methods alongside read, write, delete, and exists operations, ensuring consistent filesystem-like usage across all backend implementations.