Extends the capabilities of the standard Enum.
Project description
extended-enum
Introduction
Package that expands the capabilities of the standard Enum
.
There are times when you want to have constants that also carry additional information.
This functionality can be implemented in different ways, one of them is mapping, but there is a better approach - using ExtendedEnum
.
ExtendedEnum
- allows you to store dataclass as a value.
This allows you to store the value and additional information in one object and no longer need to use any auxiliary data containers.
It is important to note that the functionality of the standard Enum
is preserved. ExtendedEnum
is just an add-on.
Install
Installation does not require any additional dependencies.
ExtendedEnum
was specifically designed to be a lightweight package that uses only standard Python functionality.
pip install extended-enum
Features
- You can store a value and additional information inside an
Enum
member. Initially, theValueWithDescription
class is available, which additionally stores a description. You can create a custom classSomeExtendedEnumValue
.
from extended_enum import ExtendedEnum, BaseExtendedEnumValue, ValueWithDescription, EnumField
class DetailedEnum(ExtendedEnum):
CONST1 = EnumField(BaseExtendedEnumValue(value='const1'))
CONST2 = EnumField(ValueWithDescription(value='const2', description='some description 2'))
CONST3 = EnumField(ValueWithDescription(value='const3', description='some description 3'))
from dataclasses import dataclass, field
from extended_enum import ExtendedEnum, BaseExtendedEnumValue, EnumField
from typing import Optional
@dataclass(frozen=True)
class SomeExtendedEnumValue(BaseExtendedEnumValue):
display_name: str = field(compare=False)
description: Optional[str] = field(default=None, compare=False)
class DetailedEnum(ExtendedEnum):
CONST1 = EnumField(SomeExtendedEnumValue(value='const1', display_name='ONE'))
CONST2 = EnumField(SomeExtendedEnumValue(value='const2', display_name='TWO', description='some description 2'))
- The following types can be used as internal values: str, int, uuid.UUID [ref: SimpleValueType]
from uuid import UUID
from extended_enum import ExtendedEnum, EnumField
class MixedEnum(ExtendedEnum):
CONST1 = EnumField('const1')
CONST2 = EnumField(2)
CONST3 = EnumField(UUID('79ff3431-3e98-4bec-9a4c-63ede2580f83'))
- Additionally created attributes:
extended_value
- Get the expanded value of an enumeration member.get_values
- Get a list of values of an enumeration.get_extended_values
- Get a list of values (in expanded form) of an enumeration.get_members
- Get the members of the enumeration.get_simple_value_member
- Get a mapping of enumeration members to simple values.
>>> from extended_enum import ExtendedEnum, BaseExtendedEnumValue, ValueWithDescription, EnumField
>>> class DetailedEnum(ExtendedEnum):
... CONST1 = EnumField(ValueWithDescription(value='const1'))
... CONST2 = EnumField(ValueWithDescription(value='const2', description='some description 2'))
... CONST3 = EnumField(ValueWithDescription(value='const3', description='some description 3'))
>>> DetailedEnum.CONST2.value
'const2'
>>>
>>> DetailedEnum.CONST2.extended_value
ValueWithDescription(value='const2', description='some description 2')
>>>
>>> DetailedEnum.get_values()
('const1', 'const2', 'const3')
>>>
>>> DetailedEnum.get_extended_values()
(ValueWithDescription(value='const1', description=None),
ValueWithDescription(value='const2', description='some description 2'),
ValueWithDescription(value='const3', description='some description 3'))
>>>
>>> DetailedEnum.get_members()
mappingproxy({
'CONST1': <DetailedEnum.CONST1: ValueWithDescription(value='const1', description=None)>,
'CONST2': <DetailedEnum.CONST2: ValueWithDescription(value='const2', description='some description 2')>,
'CONST3': <DetailedEnum.CONST3: ValueWithDescription(value='const3', description='some description 3')>
})
>>> DetailedEnum.get_simple_value_member()
{
'const1': <DetailedEnum.CONST1: ValueWithDescription(value='const1', description=None)>,
'const2': <DetailedEnum.CONST2: ValueWithDescription(value='const2', description='some description 2')>,
'const3': <DetailedEnum.CONST3: ValueWithDescription(value='const3', description='some description 3')>
}
- You can make unique enumerations using
enum.unique
in the same way as with a standardEnum
.
>>> from enum import unique
>>> from extended_enum import ExtendedEnum, EnumField
>>> @unique
... class Mistake(ExtendedEnum):
... ONE = EnumField(1)
... TWO = EnumField(2)
... THREE = EnumField(2)
... FOUR = EnumField('four')
... FIVE = EnumField('five')
... SIX = EnumField('four')
... SEVEN = EnumField(UUID('1a882a33-f0e2-4b9f-a880-30db10c2c7dc'))
... EIGHT = EnumField(UUID('1a882a33-f0e2-4b9f-a880-30db10c2c7dc'))
... NINE = EnumField(UUID('f0602460-77fb-4980-9900-4e3f50093b78'))
...
ValueError: duplicate values found in <enum 'Mistake'>: THREE -> TWO, SIX -> FOUR, EIGHT -> SEVEN
>>>
>>> # Or without decorator
>>> unique(Mistake)
ValueError: duplicate values found in <enum 'Mistake'>: THREE -> TWO, SIX -> FOUR, EIGHT -> SEVEN
- You can make a nice display in automatic documentation, for example in
/redoc
. Below is an example for FastAPI
from typing import Literal
import uvicorn
from fastapi import FastAPI
from pydantic import Field, BaseModel
from extended_enum import ExtendedEnum, EnumField, ValueWithDescription
from extended_enum.tools import format_to_markdown
app = FastAPI()
class CompressedFileExtension(ExtendedEnum):
LZ = EnumField(ValueWithDescription(
value='.lz',
description='Employs the Lempel–Ziv–Markov chain algorithm (LZMA)'
))
IZO = EnumField(ValueWithDescription(
value='.izo',
description='Lossless data compression algorithm that is focused on decompression speed'
))
IZMA = EnumField(ValueWithDescription(
value='.izma',
description='Uses a dictionary compression scheme and features a high compression ratio while still maintaining decompression speed'
))
ZIP = EnumField('.zip')
FileExtension2Type = Literal[CompressedFileExtension.IZMA, CompressedFileExtension.ZIP]
class SomeRequestBody(BaseModel):
file_path: str
file_extension1: CompressedFileExtension = Field(
default=CompressedFileExtension.ZIP,
description='The following file extensions are supported.\n'
'{0}'.format(format_to_markdown(CompressedFileExtension))
)
file_extension2: FileExtension2Type = Field(
description='The following file extensions are supported.\n'
'{0}'.format(format_to_markdown(FileExtension2Type))
)
@app.get('/')
async def example(body: SomeRequestBody):
return {}
if __name__ == '__main__':
uvicorn.run(app=app, host='localhost', port=8000, workers=1)
Usage
Quick Start
ExtendedEnum
is very easy to use.
Switching from standard Enum
is not difficult.
Let's look at an example. You have an enum that denotes file extensions declared like this:
from enum import Enum
class FilenameExtension(Enum):
LZ = '.lz'
IZO = '.izo'
IZMA = '.izma'
ZIP = '.zip'
Let's clarify these incomprehensible character sets.
We will additionally need an EnumField
wrapper for each value and a data
class - ValueWithDescription
to store additional information.
Let's add a description for 3 members, a .zip
will be left without a description because everyone knows it.
from extended_enum import ExtendedEnum, EnumField, ValueWithDescription
class CompressedFileExtension(ExtendedEnum):
LZ = EnumField(ValueWithDescription(
value='.lz',
description='Employs the Lempel–Ziv–Markov chain algorithm (LZMA)'
))
IZO = EnumField(ValueWithDescription(
value='.izo',
description='Lossless data compression algorithm that is focused '
'on decompression speed'
))
IZMA = EnumField(ValueWithDescription(
value='.izma',
description='Uses a dictionary compression scheme and features '
'a high compression ratio while still maintaining '
'decompression speed'
))
ZIP = EnumField('.zip')
That's it, we have completed the transition. Let's see what is stored inside the class.
>>> from pprint import pprint
>>> pprint(list(CompressedFileExtension))
[
<CompressedFileExtension.LZ: ValueWithDescription(
value='.lz',
description='Employs the Lempel–Ziv–Markov chain algorithm (LZMA)'
)>,
<CompressedFileExtension.IZO: ValueWithDescription(
value='.izo',
description='Lossless data compression algorithm that is focused on decompression speed'
)>,
<CompressedFileExtension.IZMA: ValueWithDescription(
value='.izma',
description='Uses a dictionary compression scheme and features a high compression ratio while still maintaining decompression speed'
)>,
<CompressedFileExtension.ZIP: BaseExtendedEnumValue(value='.zip')>
]
Serializing values is also not difficult.
>>> import json
>>> from enum import Enum
>>> from typing import Any
>>> def dump_enum(value: Any) -> str:
... if isinstance(value, Enum):
... return value.value
... raise TypeError()
>>> json.dumps(
... {
... "file_extension1": CompressedFileExtension.IZO,
... "file_extension2": CompressedFileExtension.ZIP
... },
... default=dump_enum
... )
'{"file_extension1": ".izo", "file_extension2": ".zip"}'
>>> CompressedFileExtension('.lz')
<CompressedFileExtension.LZ: ValueWithDescription(
value='.lz',
description='Employs the Lempel–Ziv–Markov chain algorithm (LZMA)'
)>
>>> CompressedFileExtension('.unknown')
ValueError: '.unknown' is not a valid CompressedFileExtension
Easily works with orjson
.
>>> import orjson
>>> orjson.dumps(
... {
... "file_extension1": CompressedFileExtension.IZO,
... "file_extension2": CompressedFileExtension.ZIP
... }
... )
b'{"file_extension1":".izo","file_extension2":".zip"}'
Also works great with Pydantic v1
.
>>> from extended_enum import ExtendedEnum, EnumField, ValueWithDescription
>>> from pydantic import BaseModel
>>> class SomeModel(BaseModel):
... file_path: str
... file_extension: CompressedFileExtension
>>> obj = SomeModel(
... file_path='/path/to/compressed_file.lz',
... file_extension=CompressedFileExtension.LZ
...)
>>> obj.json()
'{"file_path": "/path/to/compressed_file.lz", "file_extension": ".lz"}'
>>>
>>> SomeModel.parse_raw('{"file_path": "/path/to/compressed_file.lz", "file_extension": ".lz"}')
SomeModel(
file_path='/path/to/compressed_file.lz',
file_extension=<CompressedFileExtension.LZ: ValueWithDescription(
value='.lz',
description='Employs the Lempel–Ziv–Markov chain algorithm (LZMA)'
)>
)
>>>
>>> import orjson
>>> data = orjson.loads('{"file_path": "/path/to/compressed_file.lz", "file_extension": ".lz"}')
>>> SomeModel(**data)
SomeModel(
file_path='/path/to/compressed_file.lz',
file_extension=<CompressedFileExtension.LZ: ValueWithDescription(
value='.lz',
description='Employs the Lempel–Ziv–Markov chain algorithm (LZMA)'
)>
)
Also works great with Pydantic v2
with minor differences from the previous example.
>>> obj.model_dump_json()
'{"file_path":"/path/to/compressed_file.lz","file_extension":".lz"}'
>>>
>>> SomeModel.model_validate_json('{"file_path": "/path/to/compressed_file.lz", "file_extension": ".lz"}')
SomeModel(
file_path='/path/to/compressed_file.lz',
file_extension=<CompressedFileExtension.LZ: ValueWithDescription(
value='.lz',
description='Employs the Lempel–Ziv–Markov chain algorithm (LZMA)'
)>
)
>>>
>>> import orjson
>>> data = orjson.loads('{"file_path": "/path/to/compressed_file.lz", "file_extension": ".lz"}')
>>> SomeModel(**data)
SomeModel(
file_path='/path/to/compressed_file.lz',
file_extension=<CompressedFileExtension.LZ: ValueWithDescription(
value='.lz',
description='Employs the Lempel–Ziv–Markov chain algorithm (LZMA)'
)>
)
License
This project is licensed under the Apache-2.0 License.
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