"""
Copyright CNRS/Inria/UniCA
Contributor(s): Eric Debreuve (eric.debreuve@cnrs.fr) since 2018
SEE COPYRIGHT NOTICE BELOW
"""

from __future__ import annotations

import dataclasses as dtcl
import typing as h
from enum import Enum as enum_t

node_style_raw_h = str  # color
node_styles_raw_h = dict[int | str | None, node_style_raw_h]
node_either_raw_h = node_style_raw_h | node_styles_raw_h

edge_style_raw_h = tuple[str, int, str]  # type, size, color
edge_styles_raw_h = tuple[edge_style_raw_h, edge_style_raw_h]

# show, size, color | show (False)
label_style_raw_h = tuple[bool, float, str] | bool
label_styles_raw_h = tuple[label_style_raw_h, label_style_raw_h]

# show, size, color | show (False)
direction_style_raw_h = tuple[bool, int, str] | bool


class plot_mode_e(enum_t):
    Networkx = 0
    SKL_Pixel = 1  # Exact, pixel-wise edges
    SKL_Curve = 2  # Pchip (Piecewise Cubic Hermite Interpolating Polynomial) approximation of edges


@dtcl.dataclass(slots=True, repr=False, eq=False)
class node_style_t:
    color: str  # E.g., "b"

    DEFAULT_COLORS: h.ClassVar[tuple[tuple[int | None, str]]] = ((None, "g"), (1, "r"))

    @classmethod
    def Default(cls) -> node_styles_h:
        """"""
        return {_key: cls(color=_vle) for _key, _vle in cls.DEFAULT_COLORS}

    @classmethod
    def NewFromUnstructured(cls, style: node_either_raw_h, /) -> node_styles_h:
        """"""
        if isinstance(style, dict):  # node_styles_raw_h
            # _dgr=degree or a string that must be present in the node property keys.
            output = {_dgr: cls(color=_stl) for _dgr, _stl in style.items()}
        else:
            output = {None: cls(color=style)}

        return output


@dtcl.dataclass(slots=True, repr=False, eq=False)
class edge_style_t:
    type: str  # E.g., "-"
    size: int  # "linewidth"
    color: str  # E.g., "b"

    DEFAULT_TYPES: h.ClassVar[tuple[str, str]] = ("-", ":")  # Regular, self-loop
    DEFAULT_SIZE: h.ClassVar[int] = 2
    DEFAULT_COLOR: h.ClassVar[str] = "k"

    @classmethod
    def Default(cls) -> edge_styles_h:
        """"""
        # noinspection PyTypeChecker
        return tuple(
            cls(type=_typ, size=cls.DEFAULT_SIZE, color=cls.DEFAULT_COLOR)
            for _typ in cls.DEFAULT_TYPES
        )

    @classmethod
    def AllFromUnstructured(
        cls,
        current: edge_styles_h,
        /,
        *,
        edge: edge_style_raw_h = None,
        regular_edge: edge_style_raw_h = None,
        self_loop: edge_style_raw_h = None,
        edges: edge_styles_raw_h = None,
    ) -> edge_styles_h | None:
        """"""
        return _AllFromUnstructured(
            edge_style_t,
            current,
            common=edge,
            first=regular_edge,
            last=self_loop,
            both=edges,
        )

    @classmethod
    def NewFromUnstructured(cls, style: edge_style_raw_h, /) -> h.Self:
        """"""
        return cls(type=style[0], size=style[1], color=style[2])


@dtcl.dataclass(slots=True, repr=False, eq=False)
class label_style_t:
    show: bool
    size: float  # "fontsize"
    color: str  # "k"

    DEFAULT_SIZE: h.ClassVar[float] = 6.0
    DEFAULT_COLOR: h.ClassVar[str] = "k"

    @classmethod
    def Default(cls) -> label_styles_h:
        """"""
        return (
            cls.DefaultForNodes(),
            cls.DefaultForEdges(),
        )

    @classmethod
    def DefaultForNodes(cls) -> h.Self:
        """"""
        return cls.NewFromUnstructured(True)

    @classmethod
    def DefaultForEdges(cls) -> h.Self:
        """"""
        return cls.NewFromUnstructured(False)

    @classmethod
    def AllFromUnstructured(
        cls,
        current: label_styles_h,
        /,
        *,
        label: label_style_raw_h = None,
        node: label_style_raw_h = None,
        edge: label_style_raw_h = None,
        labels: label_styles_raw_h = None,
    ) -> label_styles_h | None:
        """"""
        return _AllFromUnstructured(
            label_style_t,
            current,
            common=label,
            first=node,
            last=edge,
            both=labels,
        )

    @classmethod
    def NewFromUnstructured(cls, style: label_style_raw_h, /) -> h.Self:
        """"""
        if isinstance(style, bool):
            show = style
            size = cls.DEFAULT_SIZE
            color = cls.DEFAULT_COLOR
        else:
            show, size, color = style

        return cls(show=show, size=size, color=color)


@dtcl.dataclass(slots=True, repr=False, eq=False)
class direction_style_t:
    show: bool
    size: int  # "linewidth"
    color: str  # "k"

    DEFAULT_SIZE: h.ClassVar[int] = 2
    DEFAULT_COLOR: h.ClassVar[str] = "y"

    @classmethod
    def Default(cls) -> h.Self:
        """"""
        return cls.NewFromUnstructured(False)

    @classmethod
    def NewFromUnstructured(cls, style: direction_style_raw_h, /) -> h.Self:
        """"""
        if isinstance(style, bool):
            show = style
            size = cls.DEFAULT_SIZE
            color = cls.DEFAULT_COLOR
        else:
            show, size, color = style

        return cls(show=show, size=size, color=color)


node_styles_h = dict[int | str | None, node_style_t]
edge_styles_h = tuple[edge_style_t, edge_style_t]  # regular edges, self-loops
label_styles_h = tuple[label_style_t, label_style_t]  # nodes, edges


def _AllFromUnstructured(
    class_: edge_style_t.__class__ | label_style_t.__class__,
    current: edge_styles_h | label_styles_h,
    /,
    *,
    common: edge_style_raw_h | label_styles_raw_h = None,
    first: edge_style_raw_h | label_styles_raw_h = None,
    last: edge_style_raw_h | label_styles_raw_h = None,
    both: edge_styles_raw_h | label_styles_raw_h = None,
) -> edge_styles_h | label_styles_h | None:
    """"""
    if common is not None:
        style = class_.NewFromUnstructured(common)
        output = (style, style)
    elif first is not None:
        style = class_.NewFromUnstructured(first)
        output = (style, current[1])
    elif last is not None:
        style = class_.NewFromUnstructured(last)
        output = (current[0], style)
    elif both is not None:
        output = tuple(map(class_.NewFromUnstructured, both))
    else:
        output = None

    return output


"""
COPYRIGHT NOTICE

This software is governed by the CeCILL  license under French law and
abiding by the rules of distribution of free software.  You can  use,
modify and/ or redistribute the software under the terms of the CeCILL
license as circulated by CEA, CNRS and INRIA at the following URL
"http://www.cecill.info".

As a counterpart to the access to the source code and  rights to copy,
modify and redistribute granted by the license, users are provided only
with a limited warranty  and the software's author,  the holder of the
economic rights,  and the successive licensors  have only  limited
liability.

In this respect, the user's attention is drawn to the risks associated
with loading,  using,  modifying and/or developing or reproducing the
software by the user in light of its specific status of free software,
that may mean  that it is complicated to manipulate,  and  that  also
therefore means  that it is reserved for developers  and  experienced
professionals having in-depth computer knowledge. Users are therefore
encouraged to load and test the software's suitability as regards their
requirements in conditions enabling the security of their systems and/or
data to be ensured and,  more generally, to use and operate it in the
same conditions as regards security.

The fact that you are presently reading this means that you have had
knowledge of the CeCILL license and that you accept its terms.

SEE LICENCE NOTICE: file README-LICENCE-utf8.txt at project source root.

This software is being developed by Eric Debreuve, a CNRS employee and
member of team Morpheme.
Team Morpheme is a joint team between Inria, CNRS, and UniCA.
It is hosted by the Centre Inria d'Université Côte d'Azur, Laboratory
I3S, and Laboratory iBV.

CNRS: https://www.cnrs.fr/index.php/en
Inria: https://www.inria.fr/en/
UniCA: https://univ-cotedazur.eu/
Centre Inria d'Université Côte d'Azur: https://www.inria.fr/en/centre/sophia/
I3S: https://www.i3s.unice.fr/en/
iBV: http://ibv.unice.fr/
Team Morpheme: https://team.inria.fr/morpheme/
"""
