instance.py

# coding: utf-8

"""
STACKIT AI Model Experiments API

This API provides endpoints for the STACKIT AI Model Experiments api

The version of the OpenAPI document: 1.0.0
Contact: stackit-model-experiments@stackit.cloud
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 typing import Any, ClassVar, Dict, List, Optional, Set
from uuid import UUID

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


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

    bucket_name: Optional[Annotated[str, Field(strict=True)]] = Field(default=None, alias="bucketName")
    deleted_experiment_retention: Optional[Annotated[str, Field(strict=True)]] = Field(
        default=None,
        description="The duration to retain experiments marked for deletion before they are permanently purged. Min: 1d, Max: 90d.",
        alias="deletedExperimentRetention",
    )
    description: Optional[Annotated[str, Field(strict=True, max_length=160)]] = None
    error_message: Optional[StrictStr] = Field(default=None, alias="errorMessage")
    id: UUID
    labels: Optional[Dict[str, Annotated[str, Field(strict=True, max_length=63)]]] = Field(
        default=None,
        description="Object that represents the labels of an object. Regex for keys: `^([A-Za-z0-9][-A-Za-z0-9_.]*)?[A-Za-z0-9]$`. Regex for values: `^(([A-Za-z0-9][-A-Za-z0-9_.]*)?[A-Za-z0-9])*$`. Providing a `null` value for a key will remove that key. The `stackit-` prefix is reserved and cannot be used for Keys.",
    )
    name: Annotated[str, Field(min_length=1, strict=True, max_length=64)]
    region: Optional[StrictStr] = None
    state: StrictStr
    url: Annotated[str, Field(strict=True, max_length=1000)]
    __properties: ClassVar[List[str]] = [
        "bucketName",
        "deletedExperimentRetention",
        "description",
        "errorMessage",
        "id",
        "labels",
        "name",
        "region",
        "state",
        "url",
    ]

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

        if not isinstance(value, str):
            value = str(value)

        if not re.match(r"^model-experiments-[a-zA-Z0-9]+$", value):
            raise ValueError(r"must validate the regular expression /^model-experiments-[a-zA-Z0-9]+$/")
        return value

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

        if not isinstance(value, str):
            value = str(value)

        if not re.match(
            r"^([0-9]+(\.[0-9]+)?d)?([0-9]+(\.[0-9]+)?h)?([0-9]+(\.[0-9]+)?m)?([0-9]+(\.[0-9]+)?s)?$", value
        ):
            raise ValueError(
                r"must validate the regular expression /^([0-9]+(\.[0-9]+)?d)?([0-9]+(\.[0-9]+)?h)?([0-9]+(\.[0-9]+)?m)?([0-9]+(\.[0-9]+)?s)?$/"
            )
        return value

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

        if not isinstance(value, str):
            value = str(value)

        if not re.match(r"^[0-9a-zA-Z\s.:\/\-]+$", value):
            raise ValueError(r"must validate the regular expression /^[0-9a-zA-Z\s.:\/\-]+$/")
        return value

    @field_validator("name")
    def name_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not isinstance(value, str):
            value = str(value)

        if not re.match(r"^[0-9a-zA-Z\s_-]+$", value):
            raise ValueError(r"must validate the regular expression /^[0-9a-zA-Z\s_-]+$/")
        return value

    @field_validator("state")
    def state_validate_enum(cls, value):
        """Validates the enum"""
        if value not in set(["pending", "creating", "updating", "active", "deleting", "impaired", "reconciling"]):
            raise ValueError(
                "must be one of enum values ('pending', 'creating', 'updating', 'active', 'deleting', 'impaired', 'reconciling')"
            )
        return value

    @field_validator("url")
    def url_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not isinstance(value, str):
            value = str(value)

        if not re.match(r"^[0-9a-zA-Z\s.:\/\-]+$", value):
            raise ValueError(r"must validate the regular expression /^[0-9a-zA-Z\s.:\/\-]+$/")
        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 Instance 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 Instance from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate(
            {
                "bucketName": obj.get("bucketName"),
                "deletedExperimentRetention": obj.get("deletedExperimentRetention"),
                "description": obj.get("description"),
                "errorMessage": obj.get("errorMessage"),
                "id": obj.get("id"),
                "labels": obj.get("labels"),
                "name": obj.get("name"),
                "region": obj.get("region"),
                "state": obj.get("state"),
                "url": obj.get("url"),
            }
        )
        return _obj