This example shows another variation of the Dog aggregate class used in the tutorial and module docs.
Similar to the first example, the aggregate is expressed using the library's declarative syntax. And similar to the previous example, the model events are defined using Pydantic.
The application class in this example uses the persistence classes PydanticMapper and OrjsonTranscoder, just like the previous example. Pydantic is responsible for converting domain model objects to object types that orjson can serialise, and for reconstructing model objects from JSON objects that have been deserialised by orjson. The application class also uses the custom Snapshot class, which is defined as a Pydantic model.
One advantage of using Pydantic here is that any custom value objects will be automatically reconstructed without needing to define the transcoding classes that would be needed when using the library's default JSONTranscoder.
../../../eventsourcing/examples/aggregate8/domainmodel.py
../../../eventsourcing/examples/aggregate8/application.py
../../../eventsourcing/examples/aggregate8/persistence.py
../../../eventsourcing/examples/aggregate8/test_application.py