# coding: utf-8

"""
    Rapidata.Dataset

    No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)

    The version of the OpenAPI document: v1
    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, StrictBool, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class ValidationSetModel(BaseModel):
    """
    ValidationSetModel
    """ # noqa: E501
    id: StrictStr
    name: StrictStr
    asset_type: List[StrictStr] = Field(alias="assetType")
    modality: List[StrictStr]
    prompt_type: List[StrictStr] = Field(alias="promptType")
    dimensions: Optional[List[StrictStr]] = None
    is_public: StrictBool = Field(alias="isPublic")
    owner_id: StrictStr = Field(alias="ownerId")
    owner_mail: StrictStr = Field(alias="ownerMail")
    created_at: datetime = Field(alias="createdAt")
    __properties: ClassVar[List[str]] = ["id", "name", "assetType", "modality", "promptType", "dimensions", "isPublic", "ownerId", "ownerMail", "createdAt"]

    @field_validator('asset_type')
    def asset_type_validate_enum(cls, value):
        """Validates the enum"""
        for i in value:
            if i not in set(['None', 'Image', 'Video', 'Audio', 'Text']):
                raise ValueError("each list item must be one of ('None', 'Image', 'Video', 'Audio', 'Text')")
        return value

    @field_validator('modality')
    def modality_validate_enum(cls, value):
        """Validates the enum"""
        for i in value:
            if i not in set(['None', 'BoundingBox', 'Classify', 'Compare', 'FreeText', 'Line', 'Locate', 'NamedEntity', 'Polygon', 'Scrub', 'Transcription']):
                raise ValueError("each list item must be one of ('None', 'BoundingBox', 'Classify', 'Compare', 'FreeText', 'Line', 'Locate', 'NamedEntity', 'Polygon', 'Scrub', 'Transcription')")
        return value

    @field_validator('prompt_type')
    def prompt_type_validate_enum(cls, value):
        """Validates the enum"""
        for i in value:
            if i not in set(['None', 'Text', 'Asset']):
                raise ValueError("each list item must be one of ('None', 'Text', 'Asset')")
        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 ValidationSetModel 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,
        )
        # set to None if dimensions (nullable) is None
        # and model_fields_set contains the field
        if self.dimensions is None and "dimensions" in self.model_fields_set:
            _dict['dimensions'] = None

        return _dict

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

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

        _obj = cls.model_validate({
            "id": obj.get("id"),
            "name": obj.get("name"),
            "assetType": obj.get("assetType"),
            "modality": obj.get("modality"),
            "promptType": obj.get("promptType"),
            "dimensions": obj.get("dimensions"),
            "isPublic": obj.get("isPublic"),
            "ownerId": obj.get("ownerId"),
            "ownerMail": obj.get("ownerMail"),
            "createdAt": obj.get("createdAt")
        })
        return _obj


