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from dataclasses import dataclass, field
from typing import Generic, TypeVar
from apischema import type_name
from apischema.json_schema import deserialization_schema
from apischema.metadata import flatten
T = TypeVar("T")
# Type name factory takes the type and its arguments as (positional) parameters
@type_name(lambda tp, arg: f"{arg.__name__}Resource")
@dataclass
class Resource(Generic[T]):
id: int
content: T = field(metadata=flatten)
...
@dataclass
class Foo:
bar: str
assert deserialization_schema(Resource[Foo], all_refs=True) == {
"$schema": "http://json-schema.org/draft/2020-12/schema#",
"$ref": "#/$defs/FooResource",
"$defs": {
"FooResource": {
"allOf": [
{
"type": "object",
"properties": {"id": {"type": "integer"}},
"required": ["id"],
"additionalProperties": False,
},
{"$ref": "#/$defs/Foo"},
],
"unevaluatedProperties": False,
},
"Foo": {
"type": "object",
"properties": {"bar": {"type": "string"}},
"required": ["bar"],
"additionalProperties": False,
},
},
}
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