How do you manage application configuration across different environments in Flask?

Instruction: Discuss your approach to handling configuration for development, testing, and production environments in Flask.

Context: This question evaluates the candidate's ability to manage and segregate application configurations across multiple environments in Flask.

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To start, I leverage Flask's built-in support for configuration management. Flask allows for configurations to be derived from classes, which makes it possible to define separate configurations for development, testing, and production. Each class can inherit from a base configuration class, ensuring common settings are defined once and overriding or adding environment-specific settings as necessary.

For example, in the base configuration class, I might define settings that are common across all environments, such as SQLALCHEMY_TRACK_MODIFICATIONS = False to disable Flask-SQLAlchemy event system, which is generally not needed and consumes extra memory. Then, for development, testing, and production, I create three separate classes that inherit from this base class but override or extend it with environment-specific variables. Development might have DEBUG = True and a development database URI, testing...

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