# coding: utf-8

"""
    goose-server

    An AI agent

    The version of the OpenAPI document: 1.9.0
    Contact: ai-oss-tools@block.xyz
    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, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from goose_api.models.recipe_parameter_input_type import RecipeParameterInputType
from goose_api.models.recipe_parameter_requirement import RecipeParameterRequirement
from typing import Optional, Set
from typing_extensions import Self

class RecipeParameter(BaseModel):
    """
    RecipeParameter
    """ # noqa: E501
    default: Optional[StrictStr] = None
    description: StrictStr
    input_type: RecipeParameterInputType
    key: StrictStr
    options: Optional[List[StrictStr]] = None
    requirement: RecipeParameterRequirement
    __properties: ClassVar[List[str]] = ["default", "description", "input_type", "key", "options", "requirement"]

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

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

        return _dict

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

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

        _obj = cls.model_validate({
            "default": obj.get("default"),
            "description": obj.get("description"),
            "input_type": obj.get("input_type"),
            "key": obj.get("key"),
            "options": obj.get("options"),
            "requirement": obj.get("requirement")
        })
        return _obj