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create_key_payload.py
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132 lines (109 loc) · 4.22 KB
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# coding: utf-8
"""
STACKIT Key Management Service API
This API provides endpoints for managing keys and key rings.
The version of the OpenAPI document: 1.0.0
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import json
import pprint
import re # noqa: F401
from typing import Any, ClassVar, Dict, List, Optional, Set
from pydantic import (
BaseModel,
ConfigDict,
Field,
StrictBool,
StrictStr,
field_validator,
)
from typing_extensions import Annotated, Self
from stackit.kms.models.access_scope import AccessScope
from stackit.kms.models.algorithm import Algorithm
from stackit.kms.models.protection import Protection
from stackit.kms.models.purpose import Purpose
class CreateKeyPayload(BaseModel):
"""
CreateKeyPayload
""" # noqa: E501
access_scope: Optional[AccessScope] = AccessScope.PUBLIC
algorithm: Algorithm
description: Optional[StrictStr] = Field(
default=None, description="A user chosen description to distinguish multiple keys."
)
display_name: Annotated[str, Field(strict=True, max_length=64)] = Field(
description="The display name to distinguish multiple keys. Valid characters: letters, digits, underscores and hyphens.",
alias="displayName",
)
import_only: Optional[StrictBool] = Field(
default=False, description="States whether versions can be created or only imported.", alias="importOnly"
)
protection: Protection
purpose: Purpose
__properties: ClassVar[List[str]] = [
"access_scope",
"algorithm",
"description",
"displayName",
"importOnly",
"protection",
"purpose",
]
@field_validator("display_name")
def display_name_validate_regular_expression(cls, value):
"""Validates the regular expression"""
if not re.match(r"^[a-zA-Z0-9_-]+$", value):
raise ValueError(r"must validate the regular expression /^[a-zA-Z0-9_-]+$/")
return value
model_config = ConfigDict(
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) -> Optional[Self]:
"""Create an instance of CreateKeyPayload 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.
"""
excluded_fields: Set[str] = set([])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of CreateKeyPayload from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate(
{
"access_scope": obj.get("access_scope") if obj.get("access_scope") is not None else AccessScope.PUBLIC,
"algorithm": obj.get("algorithm"),
"description": obj.get("description"),
"displayName": obj.get("displayName"),
"importOnly": obj.get("importOnly") if obj.get("importOnly") is not None else False,
"protection": obj.get("protection"),
"purpose": obj.get("purpose"),
}
)
return _obj