Skip to main content

Type-containing enumeration

Project description

Enumetyped

This package provide a way to create typed enumerations.

Install

  • pip install enumetyped
  • pip install enumetyped[pydantic] - install with pydantic >=2.9

Quickstart

Without pydantic

from enumetyped import Enumetyped, Empty, Content


class SimpleEnum(Enumetyped[Content]):
    A: type["SimpleEnum[Empty]"]
    Int: type["SimpleEnum[int]"]


# isinstance checking
assert isinstance(SimpleEnum.A(), SimpleEnum)
assert isinstance(SimpleEnum.Int(123), SimpleEnum.Int)
assert not isinstance(SimpleEnum.Int(123), SimpleEnum.A)

# fully pattern-matching
match SimpleEnum.Int(1):
    case SimpleEnum.Int(2):
        a = False
    case SimpleEnum.Int(1):
        a = True
    case SimpleEnum.Int():
        a = True
    case _:
        a = False

assert a

With pydantic

import typing
from dataclasses import dataclass

from pydantic import BaseModel

from enumetyped import Enumetyped, Content, Empty
from enumetyped.pydantic import EnumetypedPydantic, FieldMetadata, Rename
from typing_extensions import Annotated, TypedDict


class Enum(Enumetyped[Empty]):
    V1: type["Enum"]
    V2: type["Enum"]


@dataclass
class TestDataClass:
    a: int


class TestModel(BaseModel):
    b: str


class TestTypedDict(TypedDict):
    tm: TestModel


class SimpleEnum(EnumetypedPydantic[Empty]):
    V1: type["SimpleEnum"]
    V2: type["SimpleEnum"]


class OtherEnum(EnumetypedPydantic[Content]):
    Int: type["OtherEnum[int]"]
    Int: type["OtherEnum[str]"]


# class MyEnum(EnumetypedPydantic[Content], variant="key", content="value"):  # <- adjacently
# class MyEnum(EnumetypedPydantic[Content], variant="key"):  # <- internally
class MyEnum(EnumetypedPydantic[Content]):  # <- externally, default
    # MyEnum.Int(123)
    Int: type["MyEnum[int]"]

    # MyEnum.Str(123)
    Str: type["MyEnum[str]"]

    # MyEnum.Str(OtherEnum.Int(1))
    Other: type["MyEnum[OtherEnum[Any]]"]  # any from OtherEnum variants

    # MyEnum.Str(MyEnum.Int(1)) | MyEnum.Str(MyEnum.Str(1))
    Self: type["MyEnum[MyEnum[Any]]"]  # any from self variants

    # MyEnum.OnlySelf(...) - any parameters skipped, serialized just by name
    NoValue: type["MyEnum[NoValue]"]

    # MyEnum.OnlySelf2(None)
    Optional: type["MyEnum[Optional[bool]]"]

    # MyEnum.List(["1", "2", "3"])
    List: type["MyEnum[list[str]]"]

    # MyEnum.Dict({"key": "value"})
    Dict: type["MyEnum[dict[str, str]]"]
    # TypedDict: type["MyEnum[{"b": str}]"]
    TypedDict: type["MyEnum[TestD]"]  # python doesn`t have inline TypedDict now

    # MyEnum.DC(TestDataClass(a=1))
    DataClass: type["MyEnum[TestDataClass]"]

    # MyEnum.Model(TestModel(b="2"))
    Model: type["MyEnum[TestModel]"]

    # MyEnum.StrTuple(("1", "2")))
    StringTuple: Annotated[type["MyEnum[tuple[str, str]]"], FieldMetadata(rename="just_str_tuple")]
    # or use enumetyped.pydantic.Rename
    # StrTuple: Annotated[type["MyEnum[tuple[str, str]]"], Rename("some_other_name")]

    # MyEnum.DeepAndDeeper([{"a": [(1, MyEnum.Int(2))]}])
    DeepAndDeeper: type["MyEnum[list[dict[str, list[tuple[int, MyEnum]]]]]"]

class FinModel(BaseModel):
    enum: MyEnum


def dump_and_load(e: MyEnum):
    # Can use in other model
    #
    # model = FinModel(enum=e)
    # json_ = model.model_dump_json()
    # print(json_)
    # restored = FinModel.model_validate_json(json_)
    # assert model == restored
    
    json_ = e.model_dump_json()
    print(json_)
    restored = MyEnum.model_validate_json(json_)
    assert e == restored


# externally -> {"enum":{"Int":1}} 
# adjacently -> {"enum":{"key":"Int","value":1}}
# internally -> not supported
dump_and_load(MyEnum.Int(1))

# externally -> {"enum":{"Str":"str"}}
# adjacently -> {"enum":{"key":"Str","value":"str"}}
# internally -> not supported
dump_and_load(MyEnum.Str("str"))

# externally -> {"enum":{"List":["list"]}}
# adjacently -> {"enum":{"key":"List","value":["list"]}}
# internally -> not supported
dump_and_load(MyEnum.List(["list"]))

# externally -> {"enum":{"just_str_tuple":["str","str2"]}} 
# adjacently -> {"enum":{"key":"just_str_tuple","value":["str","str2"]}}
# internally -> not supported
dump_and_load(MyEnum.StringTuple(("str", "str2")))

# externally -> {"enum":{"Self":{"Int":1}}} 
# adjacently -> {"enum":{"key":"Self","value":{"key":"Int","value":1}}}
# internally -> not supported
dump_and_load(MyEnum.Self(MyEnum.Int(1)))

# externally -> {"enum":{"DC":{"a":1}}} 
# adjacently -> {"enum":{"key":"DC","value":{"a":1}}}
# internally -> {"enum":{"key":"DC","a":1}}}
# internally -> may fall with "was never filled on some pydantic versions"
dump_and_load(MyEnum.DataClass(TestDataClass(a=1)))

# externally -> {"enum":{"Model":{"b":"test_model"}}} 
# adjacently -> {"enum":{"key":"Model","value":{"b":"test_model"}}}
# internally -> {"enum":{"key":"Model", "b":"test_model"}}
dump_and_load(MyEnum.Model(TestModel(b="test_model")))

# externally -> {"enum":{"TypedDict":{"tm":{"b":"test_model"}}}} 
# adjacently -> {"enum":{"key":"TypedDict","value":{"tm":{"b":"test_model"}}}}
# internally -> {"enum":{"key":"TypedDict","tm":{"b":"test_model"}}}
# internally -> may fall with "was never filled on some pydantic versions"
dump_and_load(MyEnum.TypedDict(TestTypedDict(tm=TestModel(b="test_model"))))

# externally -> {"enum":{"Dict":{"a":"1","b":"2"}}} 
# adjacently -> {"enum":{"key":"Dict","value":{"a":"1","b":"2"}}}
# internally -> not supported
dump_and_load(MyEnum.Dict({"a": "1", "b": "2"}))

# externally -> {"enum":"NoValue"}
# adjacently -> {"enum":{"key":"NoValue"}}
# internally -> {"enum":{"key":"NoValue"}}
dump_and_load(MyEnum.NoValue())

# externally -> {"enum":{"Optional":null}} 
# adjacently -> {"enum":{"key":"Optional","value":null}}
# internally -> not supported
dump_and_load(MyEnum.Optional(None))

# externally -> {"enum":{"DeepAndDeeper":[{"a":[[1,{"Int":2}]]}]}}
# adjacently -> {"enum":{"key":"DeepAndDeeper","value":[{"a":[[1,{"key":"Int","value":2}]]}]}}
# internally -> not supported
dump_and_load(MyEnum.DeepAndDeeper([{"a": [(1, MyEnum.Int(2))]}]))

Other

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

enumetyped-0.4.1.tar.gz (11.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

enumetyped-0.4.1-py3-none-any.whl (15.3 kB view details)

Uploaded Python 3

File details

Details for the file enumetyped-0.4.1.tar.gz.

File metadata

  • Download URL: enumetyped-0.4.1.tar.gz
  • Upload date:
  • Size: 11.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/8.5.0 keyring/24.3.1 pkginfo/1.11.2 readme-renderer/34.0 requests-toolbelt/1.0.0 requests/2.32.3 rfc3986/1.5.0 tqdm/4.57.0 urllib3/2.2.0 CPython/3.10.12

File hashes

Hashes for enumetyped-0.4.1.tar.gz
Algorithm Hash digest
SHA256 6c9e48f2ec1c137be420143811729858438ae5824a2ff1ec9577d42f49e88a03
MD5 d7685969bb22a6938bb0f73228cd5c5d
BLAKE2b-256 8943fac4bf397e4091a306c8f17616f959288d2a3b4902e020acd4277551ae09

See more details on using hashes here.

File details

Details for the file enumetyped-0.4.1-py3-none-any.whl.

File metadata

  • Download URL: enumetyped-0.4.1-py3-none-any.whl
  • Upload date:
  • Size: 15.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/8.5.0 keyring/24.3.1 pkginfo/1.11.2 readme-renderer/34.0 requests-toolbelt/1.0.0 requests/2.32.3 rfc3986/1.5.0 tqdm/4.57.0 urllib3/2.2.0 CPython/3.10.12

File hashes

Hashes for enumetyped-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b22df0e37598132f01461c70e833dfbe680ddd8bbbed9e1ccdf3bec447a1df5b
MD5 8b9a88790c5e614f4b4f9974c5b16bcf
BLAKE2b-256 125215a955a6d54ce5e655278c193b323c02dd60732cca9c143dfb6a63468ee7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page