从字符串数组初始化 pydantic Literal

Initialize pydantic Literal from array of strings

我想从字符串数组中初始化一个 pydantic Literal

from typing import Literal
from pydantic import BaseModel

CLASS_NAME_VALUES = ["primary", "secondary", "success", "danger", "warning", "info", "dark"]
ICON_NAME_VALUES = ["electricity.svg", "water.svg",
                    "internet.svg", "naturalGas.svg", "noCategory.svg"]

class CategoryRequest(BaseModel):
    class_name: Literal[CLASS_NAME_VALUES]
    icon_name: Literal[ICON_NAME_VALUES]

但是我收到以下错误

  File "pydantic/main.py", line 252, in pydantic.main.ModelMetaclass.__new__
  File "pydantic/fields.py", line 309, in pydantic.fields.ModelField.infer
  File "pydantic/fields.py", line 271, in pydantic.fields.ModelField.__init__
  File "pydantic/fields.py", line 351, in pydantic.fields.ModelField.prepare
  File "pydantic/fields.py", line 529, in pydantic.fields.ModelField.populate_validators
  File "pydantic/validators.py", line 566, in find_validators
  File "pydantic/validators.py", line 410, in pydantic.validators.make_literal_validator
TypeError: unhashable type: 'list'

有什么建议吗?

在运行时,允许将任意值作为 Literal[...] 的类型参数,但类型检查器可能会施加限制。例如,mypy 只允许一个或多个文字 boolintstrbytesenum 值、None和其他 Literal 类型的别名。例如,Literal[3 + 4]List[(3, 4)] 是不允许的。

至于 pydantic,它允许使用 Literal 中的可散列类型的值,如 tuple。例如,您的示例可以使用 tuple 重写为:

from typing import Literal
from pydantic import BaseModel

CLASS_NAME_VALUES = ("primary", "secondary", "success", "danger", "warning", "info", "dark")
ICON_NAME_VALUES = ("electricity.svg", "water.svg",
                    "internet.svg", "naturalGas.svg", "noCategory.svg")


class CategoryRequest(BaseModel):
    class_name: Literal[CLASS_NAME_VALUES]
    icon_name: Literal[ICON_NAME_VALUES]

但我强烈建议不要使用这种语法,而是坚持使用 canonical 语法,这也是类型检查器所允许的:

CLASS_NAME_VALUES = Literal["primary", "secondary", "success", "danger", "warning", "info", "dark"]
ICON_NAME_VALUES = Literal["electricity.svg", "water.svg",
                    "internet.svg", "naturalGas.svg", "noCategory.svg"]


class CategoryRequest(BaseModel):
    class_name: CLASS_NAME_VALUES
    icon_name: ICON_NAME_VALUES