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Object-relational mapper

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

Object-relational mapping is a technique that represents relational database records as objects and translates between object operations and database operations.

An object-relational mapper represents database tables as application classes, connecting object attributes to columns and relationships to keys. An asset-management schema becomes Python model classes for funding details and assets, including a foreign-key link between them. section 5.1

Asset and funding models

FundingDetailsModel maps to funding_details and stores depreciation data. AssetModel maps to assets and includes asset details plus funding_details_id, which references funding_details.id.

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

How deep it goes
Defines table, column, primary-key, foreign-key, and model-method mappings, but does not show complete persistence operations.
Examples
Uses assets, funding details, depreciation strategies, typed columns, and an assets-to-funding-details foreign key.
What it assumes
Assumes a relational schema containing assets, funding details, and depreciation strategies.
What you can do after
Build it from scratch by declaring application models that correspond to relational tables and their key relationships.
How it connects
Connects relational databases, domain classes, primary keys, foreign keys, and depreciation strategies.

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