Package: redistil
RedistilDeclarative data types usingCerberusfor schemas, optimised for Redis.This codebase is similar toModulus, except it is far simpler
and features optimisations for Redis that preserve the simple key/value nature of it - specifically selective loading and saving of fields.FeaturesDeclarative data modelCerberus schemas remove the need for bytes->string encode/decodeSimple implementationSelective loading/saving of FieldsSaving / Loading use Redis pipelines for performanceExtensible to new datatypesInstallation$ pip install redistilExampleA basic example:from redis import Redis
from redistil import Model, Field, String, Integer, Float, List

# define a model
class MyModel(Model):
    string = Field(String, primary_key=True)
    integer = Field(Integer)
    float = Field(Float)
    list = List(String)


redis = Redis()

# create an object but don't save it
obj = MyModel(string='abc', integer=123, float=1.23, list=['a', 'b'])

# create an object and immediately save it
obj = MyModel.create(redis,
    string='test string',
    integer=123,
    float=4.56,
    list=['a', 'b', 'c'],
)

# load the object using the primary key field
obj = MyModel.load(redis, 'test string')

# selectively load fields
obj = MyModel.load(redis, 'test string', MyModel.integer, MyModel.float)
# primary_key will always be loaded
print(obj.string)
print(obj.integer)
print(obj.float)
# 'list' will be None

# load fields after the fact
obj.load_fields(MyModel.list)
print(obj.list)

# update and selectively save fields
obj.list = ['d', 'e', 'f']
obj.save(redis, MyModel.list)

# determine where values are saved so we can bypass the object model if we want to
MyModel.key('test string')
# 'MyModel::test string'
MyModel.string.field()
# 'string'
MyModel.list.key(MyModel.key('test string'))
# 'MyModel::test string::list'UsageAvailable FieldsProperties:Field - Indicates a Redish hash fieldSet - A set associated with the modelList - A list associated with the modelCerberus 'dict' type is not supported, instead you should flatten them into the model itself.Field types:BooleanBinaryDateDateTimeFloatIntegerNumberStringEmailAddressIPAddressIPV4AddressIPV6AddressModelsAll data types are specified as a sub-class of Model.Each field is specified as a class attribute which is a Field object containing a field type.For example:>>> from redis import Redis
>>> from redistil import Model, Field, String, List
>>>
>>> class MyModel(Model):
...     id = Field(String, primary_key=True)
...     values = List(String, required=True)
...
>>> redis = Redis()
>>> mymodel = MyModel.create(redis, id='abc', values=['a', 'b', 'c'])
>>> # reload
>>> mymodel = MyModel.load(redis, 'abc')
>>> print(mymodel.data)
{'id': 'abc', 'values': ['a', 'b', 'c']}Field validation and defaultsParameters to fields are simply passed through to the Cerberus schema.See this documentationfor more Cerberus validation rules.Selective saving of fields will only perform validation on the fields specified.When you perform selective loading of fields, those fields' values are not loaded and may fail validation. In this case you should also perform selective saving of those same fields.Cerberus validator rules can be added by adding a child class called "Validator" to your model definition.from redistil import Model, Field, String

class MyModel(Model):
    # default_setter is a cerberus attribute which will set the value if it is not already
    # but only on save
    # the value may be either a function or a string
    # if the value is a string, the function must be defined in the Validator class as _normalize_default_setter_<name>
    # https://docs.python-cerberus.org/en/stable/normalization-rules.html
    value = Field(String, default_setter='generated_string')

    class Validator(Model.Validator):
        def _normalize_default_setter_generated_string(self, document):
            return 'abcdefg'LimitationsContainers cannot be nested. Ie. lists and sets cannot contain lists, sets, or dicts.Future WorkSupport partial text searchSupport indexing of fieldsImprove READMEChangelog1.1.1Fix Field.key taking a key as an argument.1.1.0Change how Field/Set/List work:Field now inherits from FieldBase.Set/List are now siblings of Field rather than Types.Rename FieldType to Type as they are not limited to Fields.Permit discovery of redis value paths:Add key to Container types.Add field to Field types.1.0.0Initial releaseBSD 2-Clause LicenseCopyright (c) 2021, Adam Griffiths
All rights reserved.Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.Redistributions in binary form must reproduce the above copyright notice,
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