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annotizer

The fastest Python 3 Serializer

A serializer which leverages type annotations, allowing users to serialize their objects in a very practical and fast way.

Documentation with examples for the Serializer class

The Serializer's __init__ method accepts the following parameters:

  • data - Is either a single object or a list of objects
  • fields - You can serialize only certain fields by providing them as a list
  • many - When multiple objects are being passed to the data parameter, set many=True
  • to_json - In order to get json string as an output, pass to_json=True to the class initializer (as in the example below you could also pass other keyword parameters such as skipkeys in order to customize the dumps function from the json module)
Serializer(data=data, many=True, to_json=True, allow_nan=False, skipkeys=True)

Usage

from serializer import Serializer, make_serializer
Field Callable New Alias Description
a ... 'new_alias_a' 'a' is the Field that is going to be serialized. When Ellipsis object is provided as Callable, unmodified attribute value will be retrieved from the object. 'new_alias_a' is the New Alias for the field 'a'
int, str, lambda num: num + 10 Supply any other single argument function in order to run it after the value is retrieved from the object
class ObjSerializer(Serializer):
    a: ... = 'new_alias_a'
    b: int = 'new_alias_b'
    c: str
    d: lambda num: num + 10
Field Callable New Alias Description
e__nested_attribute ... 'attribute_of_nested_object' With a double underscore syntax, the nested field can be accessed. For example: 'e' is another object that has attribute 'nested_attribute', access that attribute by using double underscore syntax '__' or 'accessor'. Using this feature, nested objects could be serialized as well (example below). Feature can be disabled by providing the attribute disable_accessor to the Settings class (example below)
class ObjSerializer(Serializer):
    e__nested_attribute: ... = 'attribute_of_nested_object'
Field Callable New Alias Description
f NestedObjSerializer 'f' is an attribute that contains another object that is going to be serialized. NestedObjSerializer does not need to be instantiated but in order to provide additional parameters simply instantiate the serializer class normally. For example: NestedObjSerializer(many=True)
g__nested_object NestedObjSerializer With 'accessor' feature, nested objects could be serialized as well
class NestedObjSerializer(Serializer):
    a: ...
    b: str
    c: float

class ObjSerializer(Serializer):
    f: NestedObjSerializer
    g__nested_object: NestedObjSerializer
Field Callable New Alias Description
h lambda x: x(*args, **kwargs) You can call any method of the object using this syntax as well. This would return the method h from the object and run it with the required args and kwargs
class ObjSerializer(Serializer):
    h: lambda x: x(*args, **kwargs)
Field Callable New Alias Description
i 'get_i' When a string is supplied as Callable, new getter will be used, function with the name 'get_i' needs to be defined inside the class body
class ObjSerializer(Serializer):
    i: 'get_i'

    def get_i(self, obj): 
        return obj.a + 20

Adding Serializer Settings

Attribute Value Description
optional ('a', 'b', 'c', ) Add an attribute called optional in order not to raise AttributeError when the attribute is not present on the object. The value for the `optional needs to be an iterable e.g. list, tuple, set, etc.
disable_accessor ('d__nested_attribute', ) Disable accessor feature by providing an iterable that contains field names for which this feature should be disabled
class ObjSerializer(Serializer):
    a: ...
    b: ...
    c: ...
    d__nested_attribute: ...

    class Settings:
        optional = ('a', 'b', 'c', )
        disable_accessor = ('d__nested_attribute', )

Documentation with examples for the make_serializer function

This function is provided in order to enable the user to dynamically create new instances of the Serializer class.

`make_serializer function accepts the following parameters:

  • name - Name that will be given to the serializer class
  • bases - Classes that will be used as bases for the serializer class. For example: bases=(Serializer, MixinClass)
  • fields - Serializer fields, they are passed in the same manner as used on class. For example: fields={'a': ..., 'b': str}
  • namespace - Namespace is the class body. You can add field aliases, methods etc. For example: namespace={'a': 'new_alias_a'}

Additional keyword arguments could be passed, those arguments will be used as a namespace for the Settings class (example below).

Usage

from serializer import Serializer, make_serializer

new_serializer = make_serializer(
    name='NewSerializer',
    bases=(Serializer,),
    fields={'a': ..., 'b': str, 'c': int},
    namespace={'a': 'new_alias_a'},
    # Additional keyword arguments for the body of the 'Settings' class
    optional=('a',)
)

Everything above is equivalent to the following:

class NewSerializer(Serializer):
        a: ... = 'new_alias_a'
        b: str
        c: int
        
        class Settings:
            optional = ('a',)

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The Modern Python 3 Serializer

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