# coding: utf-8

"""
    STACKIT Kubernetes Engine API

    The SKE API provides endpoints to create, update or delete clusters within STACKIT projects and to trigger further cluster management tasks.

    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

from pydantic import BaseModel, ConfigDict, Field, StrictStr, field_validator
from typing_extensions import Annotated, Self

from stackit.ske.models.cri import CRI


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

    cri: Optional[List[CRI]] = None
    expiration_date: Optional[datetime] = Field(default=None, alias="expirationDate")
    state: Optional[StrictStr] = None
    version: Optional[Annotated[str, Field(strict=True)]] = None
    __properties: ClassVar[List[str]] = ["cri", "expirationDate", "state", "version"]

    @field_validator("expiration_date", mode="before")
    def expiration_date_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

    @field_validator("version")
    def version_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if value is None:
            return value

        if not re.match(r"^\d+\.\d+\.\d+$", value):
            raise ValueError(r"must validate the regular expression /^\d+\.\d+\.\d+$/")
        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 MachineImageVersion 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 each item in cri (list)
        _items = []
        if self.cri:
            for _item_cri in self.cri:
                if _item_cri:
                    _items.append(_item_cri.to_dict())
            _dict["cri"] = _items
        return _dict

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

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

        _obj = cls.model_validate(
            {
                "cri": [CRI.from_dict(_item) for _item in obj["cri"]] if obj.get("cri") is not None else None,
                "expirationDate": obj.get("expirationDate"),
                "state": obj.get("state"),
                "version": obj.get("version"),
            }
        )
        return _obj
