error_response.py

# coding: utf-8

"""
    STACKIT Audit Log API

    API Endpoints to retrieve recorded actions and resulting changes in the system.  ### Documentation The user documentation with explanations how to use the api can be found  [here](https://docs.stackit.cloud/stackit/en/retrieve-audit-log-per-api-request-134415907.html).  ### Audit Logging Changes on organizations, folders and projects and respective cloud resources are logged and collected in the audit  log.  ### API Constraints The audit log API allows to download messages from the last 90 days. The maximum duration that can be queried at  once is 24 hours. Requests are rate limited - the current maximum is 60 requests per minute.

    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

    message: Optional[StrictStr] = Field(default=None, description="Description of the error.")
    path: Optional[StrictStr] = Field(default=None, description="Path which was called.")
    status: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, description="Http status code.")
    timestamp: Optional[datetime] = Field(default=None, description="Timestamp at which the error occurred.")
    __properties: ClassVar[List[str]] = ["message", "path", "status", "timestamp"]

    @field_validator("timestamp", mode="before")
    def timestamp_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(
            {
                "message": obj.get("message"),
                "path": obj.get("path"),
                "status": obj.get("status"),
                "timestamp": obj.get("timestamp"),
            }
        )
        return _obj