# coding: utf-8

"""
Root Signals API

Root Signals JSON API provides a way to access Root Signals using provisioned API token

The version of the OpenAPI document: 1.0.0 (latest)
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 datetime import datetime
from typing import Any, ClassVar, Dict, List, Optional, Set

from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing_extensions import Annotated, Self


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

    id: StrictStr
    dataset: StrictStr
    created_at: Optional[datetime]
    updated_at: Optional[datetime]
    name: Annotated[str, Field(strict=True, max_length=1000)]
    skill: Optional[StrictStr]
    __properties: ClassVar[List[str]] = ["id", "dataset", "created_at", "updated_at", "name", "skill"]

    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 ReferenceVariable 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.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        """
        excluded_fields: Set[str] = set(
            [
                "id",
                "created_at",
                "updated_at",
                "skill",
            ]
        )

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        # set to None if created_at (nullable) is None
        # and model_fields_set contains the field
        if self.created_at is None and "created_at" in self.model_fields_set:
            _dict["created_at"] = None

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

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

        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of ReferenceVariable 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"),
                "dataset": obj.get("dataset"),
                "created_at": obj.get("created_at"),
                "updated_at": obj.get("updated_at"),
                "name": obj.get("name"),
                "skill": obj.get("skill"),
            }
        )
        return _obj
