error_response.py

# coding: utf-8

"""
    STACKIT Resource Manager API

    API v2 to manage resource containers - organizations, folders, projects incl. labels  ### Resource Management STACKIT resource management handles the terms _Organization_, _Folder_, _Project_, _Label_, and the hierarchical structure between them. Technically, organizations,  folders, and projects are _Resource Containers_ to which a _Label_ can be attached to. The STACKIT _Resource Manager_ provides CRUD endpoints to query and to modify the state.  ### Organizations STACKIT organizations are the base element to create and to use cloud-resources. An organization is bound to one customer account. Organizations have a lifecycle. - Organizations are always the root node in resource hierarchy and do not have a parent  ### Projects STACKIT projects are needed to use cloud-resources. Projects serve as wrapper for underlying technical structures and processes. Projects have a lifecycle. Projects compared to folders may have different policies. - Projects are optional, but mandatory for cloud-resource usage - A project can be created having either an organization, or a folder as parent - A project must not have a project as parent - Project names under the same parent must not be unique - Root organization cannot be changed  ### Label STACKIT labels are key-value pairs including a resource container reference. Labels can be defined and attached freely to resource containers by which resources can be organized and queried. - Policy-based, immutable labels may exists

    The version of the OpenAPI document: 2.0
    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 datetime import datetime
from typing import Any, ClassVar, Dict, List, Optional, Set, Union

from pydantic import (
    BaseModel,
    ConfigDict,
    Field,
    StrictFloat,
    StrictInt,
    StrictStr,
    field_validator,
)
from pydantic_core import to_jsonable_python
from typing_extensions import Self


class ErrorResponse(BaseModel):
    """
    ErrorResponse
    """  # noqa: E501

    error: StrictStr = Field(description="The reason phrase of the status code.")
    message: StrictStr = Field(description="Description of the error.")
    path: StrictStr = Field(description="Path which was called.")
    status: Union[StrictFloat, StrictInt] = Field(description="Http Status Code.")
    time_stamp: datetime = Field(description="Timestamp at which the error occurred.", alias="timeStamp")
    __properties: ClassVar[List[str]] = ["error", "message", "path", "status", "timeStamp"]

    @field_validator("time_stamp", mode="before")
    def time_stamp_change_year_zero_to_one(cls, value):
        """Workaround which prevents year 0 issue"""
        if isinstance(value, str):
            # Check for year "0000" at the beginning of the string
            # This assumes common date formats like YYYY-MM-DDTHH:MM:SS+00:00 or YYYY-MM-DDTHH:MM:SSZ
            if value.startswith("0000-01-01T") and re.match(
                r"^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(\+\d{2}:\d{2}|Z)$", value
            ):
                # Workaround: Replace "0000" with "0001"
                return "0001" + value[4:]  # Take "0001" and append the rest of the string
        return value

    model_config = ConfigDict(
        validate_by_name=True,
        validate_by_alias=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"""
        return json.dumps(to_jsonable_python(self.to_dict()))

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of ErrorResponse 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 ErrorResponse from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate(
            {
                "error": obj.get("error"),
                "message": obj.get("message"),
                "path": obj.get("path"),
                "status": obj.get("status"),
                "timeStamp": obj.get("timeStamp"),
            }
        )
        return _obj