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Convenient anonymous and nested schemas using dict literal syntax for Marshmallow.

Project description

Marshmallow Factory
===================


Inspired by [Voluptuous](https://github.com/alecthomas/voluptuous).

It's sometimes inconvenient to define named
[Marshmallow](https://github.com/marshmallow-code/marshmallow)
Schemas, especially when those schemas are deeply nested.

Example:

```
class InnerSchema(Schema):
inner_bool = Boolean()


class MiddleSchema(Schema):
middle_int = Integer()
middle_nested = Nested(InnerSchema)


class OuterSchema(Schema):
outer_str = String()
outer_nested = Nested(MiddleSchema)


schema_instance = OuterSchema()
schema_instance.validate(input_)
```

So, this library provides a convenient syntax for defining
deeply nested Schemas.

```
from marshmallow_factory import schema

OuterSchema = schema({
'outer_str': String(),
'outer_nested': Nested(schema({
'middle_int': Integer(),
'middle_nested': Nested(schema({
'inner_bool': Boolean()
}))
}))
})

schema_instance = OuterSchema()
schema_instance.validate(input_)
```


Support For Meta Options
------------------------

Meta options are supported using the following syntax:

```
class Meta:
strict = True # or your other options

my_schema = schema({
'Meta': Meta,
'str': String()
})
```


Alternative Syntax
------------------

Schema factory arguments can also be supplied as keyword
arguments rather than a dictionary.

```
my_schema = schema(Meta=Meta, str=String())
```

For nested Schemas, plain dictionary literals can be provided
instead of Nested(schema({...}).

```
from marshmallow_factory import schema

OuterSchema = schema({
'outer_str': String(),
'outer_nested': {
'middle_int': Integer(),
'middle_nested': {
'inner_bool': Boolean()
}
}
})

schema_instance = OuterSchema()
schema_instance.validate(input_)
```


Project details


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