# coding: utf-8

"""
    Daytona Toolbox API

    Daytona Toolbox API

    The version of the OpenAPI document: v0.0.0-dev
    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, StrictFloat, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional, Union
from daytona_toolbox_api_client_async.models.chart_element import ChartElement
from pydantic import TypeAdapter
from typing import Optional, Set
from typing_extensions import Self

_JSON_ADAPTER = TypeAdapter(Dict[str, Any])

class Chart(BaseModel):
    """
    Chart
    """ # noqa: E501
    elements: Optional[List[ChartElement]] = None
    png: Optional[StrictStr] = None
    title: Optional[StrictStr] = None
    type: Optional[StrictStr] = None
    x_label: Optional[StrictStr] = None
    x_scale: Optional[StrictStr] = None
    x_tick_labels: Optional[List[StrictStr]] = None
    x_ticks: Optional[List[Union[StrictFloat, StrictInt]]] = None
    y_label: Optional[StrictStr] = None
    y_scale: Optional[StrictStr] = None
    y_tick_labels: Optional[List[StrictStr]] = None
    y_ticks: Optional[List[Union[StrictFloat, StrictInt]]] = None
    additional_properties: Dict[str, Any] = {}
    __properties: ClassVar[List[str]] = ["elements", "png", "title", "type", "x_label", "x_scale", "x_tick_labels", "x_ticks", "y_label", "y_scale", "y_tick_labels", "y_ticks"]

    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"""
        return _JSON_ADAPTER.dump_json(self.to_dict()).decode()

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of Chart 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 each item in elements (list)
        _items = []
        if self.elements:
            for _item_elements in self.elements:
                if _item_elements:
                    _items.append(_item_elements.to_dict())
            _dict['elements'] = _items
        # 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 Chart from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "elements": [ChartElement.from_dict(_item) for _item in obj["elements"]] if obj.get("elements") is not None else None,
            "png": obj.get("png"),
            "title": obj.get("title"),
            "type": obj.get("type"),
            "x_label": obj.get("x_label"),
            "x_scale": obj.get("x_scale"),
            "x_tick_labels": obj.get("x_tick_labels"),
            "x_ticks": obj.get("x_ticks"),
            "y_label": obj.get("y_label"),
            "y_scale": obj.get("y_scale"),
            "y_tick_labels": obj.get("y_tick_labels"),
            "y_ticks": obj.get("y_ticks")
        })
        # 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