Schema Validation

[codello]

Pydantic supports the generation of JSON Schema. This can be used to automatically support the validation of collections. The implementation should support the following:

• Enabling/disabling validation via a validate flag in the model’s Mongo class.
• Customization of the generated schema (this may be done directly via Pydantic)
• Converting the schema to a MongoDB compatible format (stripping unsupported Keys, embedding referenced models etc.)
• Using a custom validator instead of the automatically generated schema.
• The implementation should be compatible with polymorphic and abstract documents:
  • Abstract documents in their function as blueprints can not be validated themselves. They can however enable validation options for any subclass by default.
  • Polymorphic models can be validated. Validation has to be enabled or disabled at the root level and is implemented as an $or combination of all sub-schemas. Submodels can use custom validation rules that will be used instead of the automatically generated schemas.
  • Using a strict validation mode may be interesting. Such a mode may enforce validation not via the $or operator but by using a more complex boolean predicate based on the model’s _type (Something like _type in … and _type=abc => $schema).