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update_intake_payload.py
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115 lines (92 loc) · 4.18 KB
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# coding: utf-8
"""
STACKIT Intake API
This API provides endpoints for managing Intakes.
The version of the OpenAPI document: 1beta.2.3
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import json
import pprint
from typing import Any, ClassVar, Dict, List, Optional, Set
from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing_extensions import Annotated, Self
from stackit.intake.models.intake_catalog_patch import IntakeCatalogPatch
class UpdateIntakePayload(BaseModel):
"""
UpdateIntakePayload
""" # noqa: E501
catalog: Optional[IntakeCatalogPatch] = None
description: Optional[Annotated[str, Field(strict=True, max_length=1024)]] = Field(
default=None,
description="The description is a longer text chosen by the user to provide more context for the resource.",
)
display_name: Optional[Annotated[str, Field(min_length=1, strict=True, max_length=32)]] = Field(
default=None,
description="The display name is a short name chosen by the user to identify the resource.",
alias="displayName",
)
intake_runner_id: StrictStr = Field(
description="The unique id of the intake runner this intake should run on.", alias="intakeRunnerId"
)
labels: Optional[Dict[str, StrictStr]] = Field(
default=None,
description="Labels are key-value pairs associated with the resource. To update labels: - Provide a new set of key-value pairs to replace the existing labels. - Send empty object `{}` to remove all labels. - Omit this field to leave the labels unchanged. ",
)
__properties: ClassVar[List[str]] = ["catalog", "description", "displayName", "intakeRunnerId", "labels"]
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 UpdateIntakePayload 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,
)
# override the default output from pydantic by calling `to_dict()` of catalog
if self.catalog:
_dict["catalog"] = self.catalog.to_dict()
# set to None if labels (nullable) is None
# and model_fields_set contains the field
if self.labels is None and "labels" in self.model_fields_set:
_dict["labels"] = None
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of UpdateIntakePayload from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate(
{
"catalog": IntakeCatalogPatch.from_dict(obj["catalog"]) if obj.get("catalog") is not None else None,
"description": obj.get("description"),
"displayName": obj.get("displayName"),
"intakeRunnerId": obj.get("intakeRunnerId"),
"labels": obj.get("labels"),
}
)
return _obj