# coding: utf-8

"""
    Kestra EE

    All API operations, except for Superadmin-only endpoints, require a tenant identifier in the HTTP path.<br/> Endpoints designated as Superadmin-only are not tenant-scoped.

    Generated by OpenAPI Generator (https://openapi-generator.tech)

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


from __future__ import annotations
import pprint
import regex as re
import json

from pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from typing_extensions import Annotated
from kestrapy.models.depends_on import DependsOn
from kestrapy.models.property_object import PropertyObject
from kestrapy.models.type import Type
from typing import Optional, Set
from typing_extensions import Self

class InputObject(BaseModel):
    """
    InputObject
    """ # noqa: E501
    id: Annotated[str, Field(min_length=1, strict=True)]
    type: Type
    description: Optional[StrictStr] = None
    depends_on: Optional[DependsOn] = Field(default=None, alias="dependsOn")
    required: Optional[StrictBool] = None
    defaults: Optional[PropertyObject] = None
    prefill: Optional[PropertyObject] = Field(default=None, description="Optional UI hint for pre-filling the input. Cannot be used together with a default value.")
    display_name: Optional[StrictStr] = Field(default=None, alias="displayName")
    additional_properties: Dict[str, Any] = {}
    __properties: ClassVar[List[str]] = ["id", "type", "description", "dependsOn", "required", "defaults", "prefill", "displayName"]

    @field_validator('id')
    def id_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^[a-zA-Z0-9][.a-zA-Z0-9_-]*", value):
            raise ValueError(r"must validate the regular expression /^[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 InputObject 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.
        * Fields in `self.additional_properties` are added to the output dict.
        """
        excluded_fields: Set[str] = set([
            "additional_properties",
        ])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        # override the default output from pydantic by calling `to_dict()` of depends_on
        if self.depends_on:
            _dict['dependsOn'] = self.depends_on.to_dict()
        # override the default output from pydantic by calling `to_dict()` of defaults
        if self.defaults:
            _dict['defaults'] = self.defaults.to_dict()
        # override the default output from pydantic by calling `to_dict()` of prefill
        if self.prefill:
            _dict['prefill'] = self.prefill.to_dict()
        # puts key-value pairs in additional_properties in the top level
        if self.additional_properties is not None:
            for _key, _value in self.additional_properties.items():
                _dict[_key] = _value

        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of InputObject 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"),
            "type": obj.get("type"),
            "description": obj.get("description"),
            "dependsOn": DependsOn.from_dict(obj["dependsOn"]) if obj.get("dependsOn") is not None else None,
            "required": obj.get("required"),
            "defaults": PropertyObject.from_dict(obj["defaults"]) if obj.get("defaults") is not None else None,
            "prefill": PropertyObject.from_dict(obj["prefill"]) if obj.get("prefill") is not None else None,
            "displayName": obj.get("displayName")
        })
        # store additional fields in additional_properties
        for _key in obj.keys():
            if _key not in cls.__properties:
                _obj.additional_properties[_key] = obj.get(_key)

        return _obj


