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-0.5.2.tar.gz (11.4 kB view details)

Uploaded Source

Built Distribution

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

enumetyped-0.5.2-py3-none-any.whl (15.4 kB view details)

Uploaded Python 3

File details

Details for the file enumetyped-0.5.2.tar.gz.

File metadata

  • Download URL: enumetyped-0.5.2.tar.gz
  • Upload date:
  • Size: 11.4 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-0.5.2.tar.gz
Algorithm Hash digest
SHA256 c71acca20cba84b4d6f2ca18f494a818dc84396dcc9c112d286d9a984a290031
MD5 fe42ae9bf8c924570cff4d20bb36bece
BLAKE2b-256 06f5fcc1ef5613a567002f79f58c8e7868b55bf031bddb98d2c091fa1dab253b

See more details on using hashes here.

File details

Details for the file enumetyped-0.5.2-py3-none-any.whl.

File metadata

  • Download URL: enumetyped-0.5.2-py3-none-any.whl
  • Upload date:
  • Size: 15.4 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-0.5.2-py3-none-any.whl
Algorithm Hash digest
SHA256 8bd83a671306d4c30f295a01bc8bed7ab6148798f6d76e84f14a82acef56053e
MD5 7a6ef20326cc18fbce60e8d3e57d3f84
BLAKE2b-256 4f43ee91e98e1b64572366f74b56620f219cd585eaf79c6d46fc821b86300f55

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