# coding: utf-8

"""
    Dashboards API

    Manage ThousandEyes Dashboards.

    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, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from typing_extensions import Annotated
from thousandeyes_sdk.dashboards.models.api_aggregate_property import ApiAggregateProperty
from thousandeyes_sdk.dashboards.models.stacked_area_chart_datasource import StackedAreaChartDatasource
from typing import Optional, Set
from typing_extensions import Self

class ApiStackedAreaChartWidgetProperties(BaseModel):
    """
    ApiStackedAreaChartWidgetProperties
    """ # noqa: E501
    type: Annotated[str, Field(strict=True)] = Field(description="Time Series: Stacked Area widget type")
    group_by: Optional[ApiAggregateProperty] = Field(default=None, alias="groupBy")
    data_source: Optional[StackedAreaChartDatasource] = Field(default=None, alias="dataSource")
    show_submetrics: Optional[StrictBool] = Field(default=True, description="Controls how metrics with submetric components are displayed. If `true` (default), the widget displays one chart per group. If `false`, the widget displays all submetrics in a single chart. For metrics without submetric components, this field is ignored and returned as `null`.", alias="showSubmetrics")
    __properties: ClassVar[List[str]] = ["type", "groupBy", "dataSource", "showSubmetrics"]

    @field_validator('type')
    def type_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^Time Series: Stacked Area$", value):
            raise ValueError(r"must validate the regular expression /^Time Series: Stacked Area$/")
        return value

    model_config = ConfigDict(
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
        extra="allow",
    )


    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 self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of ApiStackedAreaChartWidgetProperties 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 show_submetrics (nullable) is None
        # and model_fields_set contains the field
        if self.show_submetrics is None and "show_submetrics" in self.model_fields_set:
            _dict['showSubmetrics'] = None

        return _dict

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

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

        _obj = cls.model_validate({
            "type": obj.get("type"),
            "groupBy": obj.get("groupBy"),
            "dataSource": obj.get("dataSource"),
            "showSubmetrics": obj.get("showSubmetrics") if obj.get("showSubmetrics") is not None else True
        })
        return _obj


