# coding: utf-8

"""
    ARL Infrastructure API

    OpenAPI specification for ARL (Agentic RL) Infrastructure custom resources. This SDK provides models for WarmPool, Sandbox, and Task Kubernetes custom resources. 

    The version of the OpenAPI document: v1alpha1
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501


from __future__ import annotations
import pprint
import re  # noqa: F401
import json

from datetime import datetime
from pydantic import BaseModel, ConfigDict, Field, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from typing_extensions import Annotated
from typing import Optional, Set
from typing_extensions import Self

class Condition(BaseModel):
    """
    Condition
    """ # noqa: E501
    last_transition_time: datetime = Field(alias="lastTransitionTime")
    message: Annotated[str, Field(strict=True, max_length=32768)]
    observed_generation: Optional[Annotated[int, Field(strict=True, ge=0)]] = Field(default=None, alias="observedGeneration")
    reason: Annotated[str, Field(min_length=1, strict=True, max_length=1024)]
    status: StrictStr
    type: Annotated[str, Field(strict=True, max_length=316)]
    __properties: ClassVar[List[str]] = ["lastTransitionTime", "message", "observedGeneration", "reason", "status", "type"]

    @field_validator('reason')
    def reason_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^[A-Za-z]([A-Za-z0-9_,:]*[A-Za-z0-9_])?$", value):
            raise ValueError(r"must validate the regular expression /^[A-Za-z]([A-Za-z0-9_,:]*[A-Za-z0-9_])?$/")
        return value

    @field_validator('status')
    def status_validate_enum(cls, value):
        """Validates the enum"""
        if value not in set(['True', 'False', 'Unknown']):
            raise ValueError("must be one of enum values ('True', 'False', 'Unknown')")
        return value

    @field_validator('type')
    def type_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^([a-z0-9]([-a-z0-9]*[a-z0-9])?(\.[a-z0-9]([-a-z0-9]*[a-z0-9])?)*\/)?(([A-Za-z0-9][-A-Za-z0-9_.]*)?[A-Za-z0-9])$", value):
            raise ValueError(r"must validate the regular expression /^([a-z0-9]([-a-z0-9]*[a-z0-9])?(\.[a-z0-9]([-a-z0-9]*[a-z0-9])?)*\/)?(([A-Za-z0-9][-A-Za-z0-9_.]*)?[A-Za-z0-9])$/")
        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 Condition 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 Condition from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "lastTransitionTime": obj.get("lastTransitionTime"),
            "message": obj.get("message"),
            "observedGeneration": obj.get("observedGeneration"),
            "reason": obj.get("reason"),
            "status": obj.get("status"),
            "type": obj.get("type")
        })
        return _obj


