# coding: utf-8

"""
    CATAPA API

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

    The version of the OpenAPI document: 1.0.0
    Contact: support@catapa.com
    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 pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class CustomTableColumnResponse(BaseModel):
    """
    CustomTableColumnResponse
    """ # noqa: E501
    id: Optional[StrictStr] = Field(default=None, description="Unique identifier of the column")
    column_name: Optional[StrictStr] = Field(default=None, description="Technical name of the column", alias="columnName")
    field_name: Optional[StrictStr] = Field(default=None, description="CamelCase version of columnName", alias="fieldName")
    display_name: Optional[StrictStr] = Field(default=None, description="Display name of the column", alias="displayName")
    field_order: Optional[StrictInt] = Field(default=None, description="Order of the field in the table", alias="fieldOrder")
    data_type: Optional[StrictStr] = Field(default=None, description="Data type of the column", alias="dataType")
    is_required: Optional[StrictBool] = Field(default=None, description="Whether the column is required", alias="isRequired")
    is_reference: Optional[StrictBool] = Field(default=None, description="Whether the column is a reference to another entity", alias="isReference")
    column_metadata: Optional[Dict[str, Any]] = Field(default=None, description="Additional metadata for the column", alias="columnMetadata")
    tooltip: Optional[StrictStr] = Field(default=None, description="Optional custom tooltip to be shown to the user")
    __properties: ClassVar[List[str]] = ["id", "columnName", "fieldName", "displayName", "fieldOrder", "dataType", "isRequired", "isReference", "columnMetadata", "tooltip"]

    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 CustomTableColumnResponse 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 column_metadata (nullable) is None
        # and model_fields_set contains the field
        if self.column_metadata is None and "column_metadata" in self.model_fields_set:
            _dict['columnMetadata'] = None

        # set to None if tooltip (nullable) is None
        # and model_fields_set contains the field
        if self.tooltip is None and "tooltip" in self.model_fields_set:
            _dict['tooltip'] = None

        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of CustomTableColumnResponse 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"),
            "columnName": obj.get("columnName"),
            "fieldName": obj.get("fieldName"),
            "displayName": obj.get("displayName"),
            "fieldOrder": obj.get("fieldOrder"),
            "dataType": obj.get("dataType"),
            "isRequired": obj.get("isRequired"),
            "isReference": obj.get("isReference"),
            "columnMetadata": obj.get("columnMetadata"),
            "tooltip": obj.get("tooltip")
        })
        return _obj


