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Describe your schemas with python types annotation. Access to data with structured objects instead of dicts.

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nonamenix/marshmallow-jam

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Marshmallow Jam

Some extra sweets for marshmallow.

version pipeline status coverage report python_version

Examples

Use annotations for schema description.

from jam import Schema

class Bar(Schema):
    baz: str

class Foo(Schema):
    bar: Bar

foo: Foo = Foo().load({"bar": {"baz": "quux"}})

assert foo.bar.baz == "quux"

When annotations not enough

class Foo(Schema):
    bar: str = fields.Email()

Mapping rules

Basic Types

annotation marshmallow field
str fields.String
float fields.Float
bool fields.Boolean
int fields.Integer
uuid.UUID fields.UUID
decimal.Decimal fields.Decimal
dt.datetime fields.DateTime
dt.time fields.Time
dt.date fields.Date
dt.timedelta fields.TimeDelta

All fields will be required for make it optional use typing.Optional[X]

Many

annotation marshmallow field
list fields.Raw(many=True)
typing.List[float] fields.List(fields.Float())

Nested

annotation marshmallow field
NestedSchema fields.Nested(NestedSchema, required=True)
typing.Optional[NestedSchema] fields.Nested(NestedSchema, required=True)
typing.List[NestedSchema] fields.Nested(NestedSchema, required=True, many=True)

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Describe your schemas with python types annotation. Access to data with structured objects instead of dicts.

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