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create_list.py
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102 lines (80 loc) · 3.54 KB
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# coding: utf-8
"""
Permify API
Permify is an open source authorization service for creating fine-grained and scalable authorization systems.
The version of the OpenAPI document: v1.4.4
Contact: hello@permify.co
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from typing import Any, ClassVar, Dict, List, Optional
from pydantic import BaseModel, StrictInt
from pydantic import Field
try:
from typing import Self
except ImportError:
from typing_extensions import Self
class CreateList(BaseModel):
"""
A list creation expression. Lists may either be homogenous, e.g. `[1, 2, 3]`, or heterogeneous, e.g. `dyn([1, 'hello', 2.0])`
""" # noqa: E501
elements: Optional[List[Expr]] = Field(default=None, description="The elements part of the list.")
optional_indices: Optional[List[StrictInt]] = Field(default=None, description="The indices within the elements list which are marked as optional elements. When an optional-typed value is present, the value it contains is included in the list. If the optional-typed value is absent, the list element is omitted from the CreateList result.", alias="optionalIndices")
__properties: ClassVar[List[str]] = ["elements", "optionalIndices"]
model_config = {
"populate_by_name": True,
"validate_assignment": True,
"protected_namespaces": (),
}
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return json.dumps(self.to_dict())
@classmethod
def from_json(cls, json_str: str) -> Self:
"""Create an instance of CreateList from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
"""
_dict = self.model_dump(
by_alias=True,
exclude={
},
exclude_none=True,
)
# override the default output from pydantic by calling `to_dict()` of each item in elements (list)
_items = []
if self.elements:
for _item in self.elements:
if _item:
_items.append(_item.to_dict())
_dict['elements'] = _items
return _dict
@classmethod
def from_dict(cls, obj: Dict) -> Self:
"""Create an instance of CreateList from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"elements": [Expr.from_dict(_item) for _item in obj.get("elements")] if obj.get("elements") is not None else None,
"optionalIndices": obj.get("optionalIndices")
})
return _obj
from permify.models.expr import Expr
# TODO: Rewrite to not use raise_errors
CreateList.model_rebuild(raise_errors=False)