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Circular dependency

As explained in AI-Powered Developer: Build software with ChatGPT and Copilot

A circular dependency is a dependency relationship in which two or more modules or components depend on one another directly or through an intermediate dependency.

A circular dependency occurs when modules or components depend on one another directly or indirectly. During a unit-test run, Python may expose the cycle while instantiating interconnected classes. section 6.1.1

Breaking a class cycle

A visitor depends on Asset, which loads FundingDetails; FundingDetails refers to DepreciationStrategy and Asset, creating a cycle. Reduce the coupling by removing Asset’s direct reference to FundingDetails and FundingDetails’ direct reference to DepreciationStrategy. section 6.1.1

How AI-Powered Developer: Build software with ChatGPT and Copilot covers it

How deep it goes
Defines direct and indirect cycles, demonstrates their failure point, and sketches decoupling fixes without detailing broader dependency-management patterns.
Examples
Uses a visitor, Asset, FundingDetails, and DepreciationStrategy cycle, then shows revised class references.
What it assumes
Assumes familiarity with Python classes and unit tests while defining circular dependencies from the failing example.
What you can do after
Diagnose/debug with unit-test failures and reduce cycles by removing direct class instantiation or references.
How it connects
Connects unit testing with Python classes, modules, components, and integration testing.

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This explainer was generated by Manning's knowledge graph from the text of AI-Powered Developer: Build software with ChatGPT and Copilot. The section links point to the parts of the book it draws on.