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Runtime Type Validation with Pydantic

Pydantic is a framework for executing runtime type validation - e.g., for validating data sent to an API against a pre-defined data model.

This demo shows how Pydantic can be used to validate a config file (written in YAML), against a pre-defined schema.

Demo Objectives

  • Define a data model.
  • Use the data model to validate config loaded from a YAML file.
  • Show the difference between validating data in a dict and as part of data model instatiation.
  • Demonstrate how validation errors can be handled and reported to Users.

Running the Demo

This demo is contained in a single Python module,, that can be run using,

$ python -m load_config