# AUTO GENERATED FILE - DO NOT EDIT

import typing  # noqa: F401
from typing_extensions import TypedDict, NotRequired, Literal # noqa: F401
from dash.development.base_component import Component, _explicitize_args

ComponentType = typing.Union[
    str,
    int,
    float,
    Component,
    None,
    typing.Sequence[typing.Union[str, int, float, Component, None]],
]

NumberType = typing.Union[
    typing.SupportsFloat, typing.SupportsInt, typing.SupportsComplex
]


class AntdScatter(Component):
    """An AntdScatter component.
散点图组件AntdScatter

Keyword arguments:

- id (string; optional):
    组件唯一id.

- key (string; optional):
    对当前组件的`key`值进行更新，可实现强制重绘当前组件的效果.

- className (string; optional):
    当前组件css类名.

- data (list of dicts; required):
    必填，定义绘图所需数据.

- meta (optional):
    以字段为单位，配置图表数据元信息，来定义所涉及数据的类型和展示方式，具体见在线文档相关说明.

- xField (string; required):
    必填，图表x轴字段.

- yField (string; required):
    必填，图表y轴字段.

- colorField (string; optional):
    颜色映射字段.

- sizeField (string; optional):
    尺寸映射字段.

- shapeField (string; optional):
    形状映射字段.

- color (dict; optional):
    控制散点颜色，具体见在线文档相关说明.

    `color` is a string | list of strings | dict with keys:

    - func (string; optional):
        js函数体字符串.

- size (dict; optional):
    控制散点尺寸，具体见在线文档相关说明.

    `size` is a number | list of numbers | dict with keys:

    - func (string; optional):
        js函数体字符串.

- shape (dict; optional):
    控制散点形状，具体见在线文档相关说明.

    `shape` is a string | list of strings | dict with keys:

    - func (string; optional):
        js函数体字符串.

- pointStyle (dict; optional):
    控制散点样式，具体见在线文档相关说明.

    `pointStyle` is a dict with keys:

    - func (string; optional):
        js函数体字符串.

- shapeLegend (optional):
    是否为散点形状渲染图例.

- sizeLegend (optional):
    是否为散点尺寸渲染图例.

- quadrant (dict; optional):
    配置象限相关参数，具体见在线文档相关说明.

    `quadrant` is a dict with keys:

    - xBaseline (number; optional):
        横轴基准分割线位置  默认值：`0`.

    - yBaseline (number; optional):
        纵轴基准分割线位置  默认值：`0`.

    - lineStyle (optional):
        配置分割线样式.

    - regionStyle (list; optional):
        配置象限样式，支持传入格式如`[左上, 右上, 右下, 左下]`格式的参数分别配置四个象限的样式.

    - labels (list of dicts; optional):
        配置各象限文字标注，格式如`[左上, 右上, 右下, 左下]`.

        `labels` is a list of dicts with keys:

        - content (string; optional):

            标注文字内容.

        - position (list of numbers; optional):

            标注坐标位置，格式如`[x, y]`.

        - style (optional):

            标注文字样式.

- regressionLine (dict; optional):
    配置回归线相关参数，具体见在线文档相关说明.

    `regressionLine` is a dict with keys:

    - type (a value equal to: 'exp', 'linear', 'loess', 'log', 'poly', 'pow', 'quad'; optional):
        回归线类型，可选项有`'exp'`、`'linear'`、`'loess'`、`'log'`、`'poly'`、`'pow'`、`'quad'`.

    - style (optional):
        回归线样式.

    - algorithm (dict; optional):
        自定义回归线数值映射算法.

        `algorithm` is a dict with keys:

        - func (string; optional):
            js函数体字符串.

    - top (boolean; optional):
        回归线是否置于顶层显示.

- xAxis (optional):
    配置横坐标轴相关参数，具体见在线文档相关说明.

- yAxis (optional):
    配置纵坐标轴相关参数，具体见在线文档相关说明.

- width (number; optional):
    图表容器像素宽度.

- height (number; optional):
    图表容器像素高度.

- autoFit (boolean; optional):
    图表是否自适应所在父容器宽高，当`autoFit=True`时，`width`和`height`参数将失效  默认值：`True`.

- padding (number | list of numbers | string; optional):
    画布内边距，传入单个数值表示四周边距，也可传入格式如`[上边距，右边距，下边距，左边距]`的数组，或传入`'auto'`开启底层自动计算.

- appendPadding (number | list of numbers | string; optional):
    画布额外内边距，传入单个数值表示四周边距，也可传入格式如`[上边距，右边距，下边距，左边距]`的数组.

- renderer (a value equal to: 'canvas', 'svg'; optional):
    图表底层渲染方式，可选项有`'canvas'`和`'svg'`  默认值：`'canvas'`.

- pixelRatio (number; optional):
    `renderer='canvas'`时，控制渲染图表图片的像素比  默认值：`1`.

- locale (a value equal to: 'zh-CN', 'en-US'; default 'zh-CN'):
    图表文案语种，可选项有`'zh-CN'`、`'en-US'`  默认值：`'zh-CN'`.

- limitInPlot (boolean; optional):
    是否对超出绘图区域的几何元素进行裁剪.

- legend (optional):
    配置图例相关参数，具体见在线文档相关说明.

- label (optional):
    配置数值标签相关参数，具体见在线文档相关说明.

- tooltip (optional):
    配置信息框相关参数，具体见在线文档相关说明.

- annotations (optional):
    配置标注相关参数，具体见在线文档相关说明.

- animation (optional):
    配置动画相关参数，具体见在线文档相关说明.

- recentlyTooltipChangeRecord (dict; optional):
    事件监听属性，用于监听最近一次信息框显示事件.

    `recentlyTooltipChangeRecord` is a dict with keys:

    - timestamp (number; optional):
        事件时间戳.

    - data (list of dicts; optional):
        涉及数据信息.

- recentlyPointClickRecord (dict; optional):
    事件监听属性，用于监听最近一次散点点击事件.

    `recentlyPointClickRecord` is a dict with keys:

    - timestamp (number; optional):
        事件时间戳.

    - data (dict; optional):
        涉及数据信息.

- recentlyPointDoubleClickRecord (dict; optional):
    事件监听属性，用于监听最近一次散点双击事件.

    `recentlyPointDoubleClickRecord` is a dict with keys:

    - timestamp (number; optional):
        事件时间戳.

    - data (dict; optional):
        涉及数据信息.

- recentlyLegendInfo (dict; optional):
    事件监听属性，用于监听最近一次图例点击事件.

    `recentlyLegendInfo` is a dict with keys:

    - triggerItemName (boolean | number | string | dict | list; optional):
        被点击图例项名称.

    - items (list of dicts; optional):
        当前各图例项信息.

- downloadTrigger (string; default 'download-trigger'):
    对当前组件的`downloadTrigger`值进行更新，可实现主动下载当前图表为`png`格式图片.

- theme (optional):
    配置主题相关参数，具体见在线文档相关说明.

- interactions (optional):
    配置交互功能相关参数，具体见在线文档相关说明.

- state (optional):
    配置状态样式相关参数，具体见在线文档相关说明.

- brush (optional):
    配置刷选相关功能，具体见在线文档相关说明."""
    _children_props = []
    _base_nodes = ['children']
    _namespace = 'feffery_antd_charts'
    _type = 'AntdScatter'
    Color = TypedDict(
        "Color",
            {
            "func": NotRequired[str]
        }
    )

    Size = TypedDict(
        "Size",
            {
            "func": NotRequired[str]
        }
    )

    Shape = TypedDict(
        "Shape",
            {
            "func": NotRequired[str]
        }
    )

    PointStyle = TypedDict(
        "PointStyle",
            {
            "func": NotRequired[str]
        }
    )

    QuadrantLabels = TypedDict(
        "QuadrantLabels",
            {
            "content": NotRequired[str],
            "position": NotRequired[typing.Sequence[NumberType]],
            "style": NotRequired[typing.Any]
        }
    )

    Quadrant = TypedDict(
        "Quadrant",
            {
            "xBaseline": NotRequired[NumberType],
            "yBaseline": NotRequired[NumberType],
            "lineStyle": NotRequired[typing.Any],
            "regionStyle": NotRequired[typing.Union[typing.Any, typing.Sequence[typing.Any]]],
            "labels": NotRequired[typing.Sequence["QuadrantLabels"]]
        }
    )

    RegressionLineAlgorithm = TypedDict(
        "RegressionLineAlgorithm",
            {
            "func": NotRequired[str]
        }
    )

    RegressionLine = TypedDict(
        "RegressionLine",
            {
            "type": NotRequired[Literal["exp", "linear", "loess", "log", "poly", "pow", "quad"]],
            "style": NotRequired[typing.Any],
            "algorithm": NotRequired["RegressionLineAlgorithm"],
            "top": NotRequired[bool]
        }
    )

    RecentlyTooltipChangeRecord = TypedDict(
        "RecentlyTooltipChangeRecord",
            {
            "timestamp": NotRequired[NumberType],
            "data": NotRequired[typing.Sequence[dict]]
        }
    )

    RecentlyPointClickRecord = TypedDict(
        "RecentlyPointClickRecord",
            {
            "timestamp": NotRequired[NumberType],
            "data": NotRequired[dict]
        }
    )

    RecentlyPointDoubleClickRecord = TypedDict(
        "RecentlyPointDoubleClickRecord",
            {
            "timestamp": NotRequired[NumberType],
            "data": NotRequired[dict]
        }
    )

    RecentlyLegendInfo = TypedDict(
        "RecentlyLegendInfo",
            {
            "triggerItemName": NotRequired[typing.Any],
            "items": NotRequired[typing.Sequence[dict]]
        }
    )


    def __init__(
        self,
        id: typing.Optional[typing.Union[str, dict]] = None,
        key: typing.Optional[str] = None,
        className: typing.Optional[str] = None,
        style: typing.Optional[typing.Any] = None,
        data: typing.Optional[typing.Sequence[dict]] = None,
        meta: typing.Optional[typing.Any] = None,
        xField: typing.Optional[str] = None,
        yField: typing.Optional[str] = None,
        colorField: typing.Optional[str] = None,
        sizeField: typing.Optional[str] = None,
        shapeField: typing.Optional[str] = None,
        color: typing.Optional[typing.Union[str, typing.Sequence[str], "Color"]] = None,
        size: typing.Optional[typing.Union[NumberType, typing.Sequence[NumberType], "Size"]] = None,
        shape: typing.Optional[typing.Union[str, typing.Sequence[str], "Shape"]] = None,
        pointStyle: typing.Optional[typing.Union[typing.Any, "PointStyle"]] = None,
        shapeLegend: typing.Optional[typing.Any] = None,
        sizeLegend: typing.Optional[typing.Any] = None,
        quadrant: typing.Optional["Quadrant"] = None,
        regressionLine: typing.Optional["RegressionLine"] = None,
        xAxis: typing.Optional[typing.Any] = None,
        yAxis: typing.Optional[typing.Any] = None,
        width: typing.Optional[NumberType] = None,
        height: typing.Optional[NumberType] = None,
        autoFit: typing.Optional[bool] = None,
        padding: typing.Optional[typing.Union[NumberType, typing.Sequence[NumberType], str]] = None,
        appendPadding: typing.Optional[typing.Union[NumberType, typing.Sequence[NumberType], str]] = None,
        renderer: typing.Optional[Literal["canvas", "svg"]] = None,
        pixelRatio: typing.Optional[NumberType] = None,
        locale: typing.Optional[Literal["zh-CN", "en-US"]] = None,
        limitInPlot: typing.Optional[bool] = None,
        legend: typing.Optional[typing.Any] = None,
        label: typing.Optional[typing.Any] = None,
        tooltip: typing.Optional[typing.Any] = None,
        annotations: typing.Optional[typing.Any] = None,
        animation: typing.Optional[typing.Any] = None,
        recentlyTooltipChangeRecord: typing.Optional["RecentlyTooltipChangeRecord"] = None,
        recentlyPointClickRecord: typing.Optional["RecentlyPointClickRecord"] = None,
        recentlyPointDoubleClickRecord: typing.Optional["RecentlyPointDoubleClickRecord"] = None,
        recentlyLegendInfo: typing.Optional["RecentlyLegendInfo"] = None,
        downloadTrigger: typing.Optional[str] = None,
        theme: typing.Optional[typing.Any] = None,
        interactions: typing.Optional[typing.Any] = None,
        state: typing.Optional[typing.Any] = None,
        brush: typing.Optional[typing.Any] = None,
        **kwargs
    ):
        self._prop_names = ['id', 'key', 'className', 'style', 'data', 'meta', 'xField', 'yField', 'colorField', 'sizeField', 'shapeField', 'color', 'size', 'shape', 'pointStyle', 'shapeLegend', 'sizeLegend', 'quadrant', 'regressionLine', 'xAxis', 'yAxis', 'width', 'height', 'autoFit', 'padding', 'appendPadding', 'renderer', 'pixelRatio', 'locale', 'limitInPlot', 'legend', 'label', 'tooltip', 'annotations', 'animation', 'recentlyTooltipChangeRecord', 'recentlyPointClickRecord', 'recentlyPointDoubleClickRecord', 'recentlyLegendInfo', 'downloadTrigger', 'theme', 'interactions', 'state', 'brush']
        self._valid_wildcard_attributes =            []
        self.available_properties = ['id', 'key', 'className', 'style', 'data', 'meta', 'xField', 'yField', 'colorField', 'sizeField', 'shapeField', 'color', 'size', 'shape', 'pointStyle', 'shapeLegend', 'sizeLegend', 'quadrant', 'regressionLine', 'xAxis', 'yAxis', 'width', 'height', 'autoFit', 'padding', 'appendPadding', 'renderer', 'pixelRatio', 'locale', 'limitInPlot', 'legend', 'label', 'tooltip', 'annotations', 'animation', 'recentlyTooltipChangeRecord', 'recentlyPointClickRecord', 'recentlyPointDoubleClickRecord', 'recentlyLegendInfo', 'downloadTrigger', 'theme', 'interactions', 'state', 'brush']
        self.available_wildcard_properties =            []
        _explicit_args = kwargs.pop('_explicit_args')
        _locals = locals()
        _locals.update(kwargs)  # For wildcard attrs and excess named props
        args = {k: _locals[k] for k in _explicit_args}

        for k in ['data', 'xField', 'yField']:
            if k not in args:
                raise TypeError(
                    'Required argument `' + k + '` was not specified.')

        super(AntdScatter, self).__init__(**args)

setattr(AntdScatter, "__init__", _explicitize_args(AntdScatter.__init__))