#                   --- THIS FILE IS AUTO-GENERATED ---
# Modifications will be overwitten the next time code generation run.

from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy


class Increasing(_BaseTraceHierarchyType):
    _parent_path_str = "candlestick"
    _path_str = "candlestick.increasing"
    _valid_props = {"fillcolor", "line"}

    @property
    def fillcolor(self):
        """
        Sets the fill color. Defaults to a half-transparent variant of
        the line color, marker color, or marker line color, whichever
        is available.

        The 'fillcolor' property is a color and may be specified as a string in the following formats:
          - hex or short hex (e.g. '#d3d3d3', '#d3d')
          - hex or short hex with alpha (e.g. '#d3d3d380', '#d3d8')
          - rgb (e.g. 'rgb(255, 0, 0)', 'rgb(255 0 0)')
          - rgba (e.g. 'rgba(255, 0, 0, 0.5)', 'rgba(255 0 0 / 0.5)')
          - hsl (e.g. 'hsl(0, 100%, 50%)', 'hsl(0deg 100% 50%)')
          - hsla (e.g. 'hsla(0, 100%, 50%, 0.5)', 'hsla(0deg 100% 50% / 0.5)')
          - hwb (e.g. 'hwb(0 0% 100%)')
          - lab/lch/oklab/oklch (e.g. 'oklch(0.7 0.15 180)')
          - color (e.g. 'color(display-p3 1 0 0)')
          - named colors (full list: https://www.w3.org/TR/css-color-4/#named-color)
          - Any other supported CSS 4 color format: https://www.w3.org/TR/css-color-4/

        Returns
        -------
        str
        """
        return self["fillcolor"]

    @fillcolor.setter
    def fillcolor(self, val):
        self["fillcolor"] = val

    @property
    def line(self):
        """
        The 'line' property is an instance of Line
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.candlestick.increasing.Line`
          - A dict of string/value properties that will be passed
            to the Line constructor

        Returns
        -------
        plotly.graph_objs.candlestick.increasing.Line
        """
        return self["line"]

    @line.setter
    def line(self, val):
        self["line"] = val

    @property
    def _prop_descriptions(self):
        return """\
        fillcolor
            Sets the fill color. Defaults to a half-transparent
            variant of the line color, marker color, or marker line
            color, whichever is available.
        line
            :class:`plotly.graph_objects.candlestick.increasing.Lin
            e` instance or dict with compatible properties
        """

    def __init__(self, arg=None, fillcolor=None, line=None, **kwargs):
        """
        Construct a new Increasing object

        Parameters
        ----------
        arg
            dict of properties compatible with this constructor or
            an instance of
            :class:`plotly.graph_objs.candlestick.Increasing`
        fillcolor
            Sets the fill color. Defaults to a half-transparent
            variant of the line color, marker color, or marker line
            color, whichever is available.
        line
            :class:`plotly.graph_objects.candlestick.increasing.Lin
            e` instance or dict with compatible properties

        Returns
        -------
        Increasing
        """
        super().__init__("increasing")
        if "_parent" in kwargs:
            self._parent = kwargs["_parent"]
            return

        if arg is None:
            arg = {}
        elif isinstance(arg, self.__class__):
            arg = arg.to_plotly_json()
        elif isinstance(arg, dict):
            arg = _copy.copy(arg)
        else:
            raise ValueError("""\
The first argument to the plotly.graph_objs.candlestick.Increasing
constructor must be a dict or
an instance of :class:`plotly.graph_objs.candlestick.Increasing`""")

        self._skip_invalid = kwargs.pop("skip_invalid", False)
        self._validate = kwargs.pop("_validate", True)

        self._set_property("fillcolor", arg, fillcolor)
        self._set_property("line", arg, line)
        self._process_kwargs(**dict(arg, **kwargs))
        self._skip_invalid = False
