import os
import json
from pathlib import Path
from typing import Union, List
import importlib.metadata as importlib_metadata
from packaging.version import Version
import warnings

import plotly
from plotly.io._utils import validate_coerce_fig_to_dict, broadcast_args_to_dicts
from plotly.io._defaults import defaults

ENGINE_SUPPORT_TIMELINE = "September 2025"
ENABLE_KALEIDO_V0_DEPRECATION_WARNINGS = False

PLOTLY_GET_CHROME_ERROR_MSG = """

Kaleido requires Google Chrome to be installed.

Either download and install Chrome yourself following Google's instructions for your operating system,
or install it from your terminal by running:

    $ plotly_get_chrome

"""

KALEIDO_DEPRECATION_MSG = f"""
Support for Kaleido versions less than 1.0.0 is deprecated and will be removed after {ENGINE_SUPPORT_TIMELINE}.
Please upgrade Kaleido to version 1.0.0 or greater (`pip install 'kaleido>=1.0.0'` or `pip install 'plotly[kaleido]'`).
"""
ORCA_DEPRECATION_MSG = f"""
Support for the Orca engine is deprecated and will be removed after {ENGINE_SUPPORT_TIMELINE}.
Please install Kaleido (`pip install 'kaleido>=1.0.0'` or `pip install 'plotly[kaleido]'`) to use the Kaleido engine.
"""
ENGINE_PARAM_DEPRECATION_MSG = f"""
Support for the 'engine' argument is deprecated and will be removed after {ENGINE_SUPPORT_TIMELINE}.
Kaleido will be the only supported engine at that time.
"""

_KALEIDO_AVAILABLE = None
_KALEIDO_MAJOR = None

kaleido_scope_default_warning_func = (
    lambda x: f"""
Use of plotly.io.kaleido.scope.{x} is deprecated and support will be removed after {ENGINE_SUPPORT_TIMELINE}.
Please use plotly.io.defaults.{x} instead.
"""
)
bad_attribute_error_msg_func = (
    lambda x: f"""
Attribute plotly.io.defaults.{x} is not valid.
Also, use of plotly.io.kaleido.scope.* is deprecated and support will be removed after {ENGINE_SUPPORT_TIMELINE}.
Please use plotly.io.defaults.* instead.
"""
)


def kaleido_available() -> bool:
    """
    Returns True if any version of Kaleido is installed, otherwise False.
    """
    global _KALEIDO_AVAILABLE
    global _KALEIDO_MAJOR
    if _KALEIDO_AVAILABLE is not None:
        return _KALEIDO_AVAILABLE
    try:
        import kaleido

        _KALEIDO_AVAILABLE = True
    except ImportError as e:
        _KALEIDO_AVAILABLE = False
    return _KALEIDO_AVAILABLE


def kaleido_major() -> int:
    """
    Returns the major version number of Kaleido if it is installed,
    otherwise raises a ValueError.
    """
    global _KALEIDO_MAJOR
    if _KALEIDO_MAJOR is not None:
        return _KALEIDO_MAJOR
    if not kaleido_available():
        raise ValueError("Kaleido is not installed.")
    else:
        _KALEIDO_MAJOR = Version(importlib_metadata.version("kaleido")).major
    return _KALEIDO_MAJOR


try:
    if kaleido_available() and kaleido_major() < 1:
        # Kaleido v0
        import kaleido
        from kaleido.scopes.plotly import PlotlyScope

        # Show a deprecation warning if the old method of setting defaults is used
        class PlotlyScopeWrapper(PlotlyScope):
            def __setattr__(self, name, value):
                if name in defaults.__dict__:
                    if ENABLE_KALEIDO_V0_DEPRECATION_WARNINGS:
                        warnings.warn(
                            kaleido_scope_default_warning_func(name),
                            DeprecationWarning,
                            stacklevel=2,
                        )
                super().__setattr__(name, value)

            def __getattr__(self, name):
                if hasattr(defaults, name):
                    if ENABLE_KALEIDO_V0_DEPRECATION_WARNINGS:
                        warnings.warn(
                            kaleido_scope_default_warning_func(name),
                            DeprecationWarning,
                            stacklevel=2,
                        )
                return super().__getattr__(name)

        # Ensure the new method of setting defaults is backwards compatible with Kaleido v0
        # DefaultsBackwardsCompatible sets the attributes on `scope` object at the same time
        # as they are set on the `defaults` object
        class DefaultsBackwardsCompatible(defaults.__class__):
            def __init__(self, scope):
                self._scope = scope
                super().__init__()

            def __setattr__(self, name, value):
                if not name == "_scope":
                    if (
                        hasattr(self._scope, name)
                        and getattr(self._scope, name) != value
                    ):
                        setattr(self._scope, name, value)
                super().__setattr__(name, value)

        scope = PlotlyScopeWrapper()
        defaults = DefaultsBackwardsCompatible(scope)
        # Compute absolute path to the 'plotly/package_data/' directory
        root_dir = os.path.dirname(os.path.abspath(plotly.__file__))
        package_dir = os.path.join(root_dir, "package_data")
        scope.plotlyjs = os.path.join(package_dir, "plotly.min.js")
        if scope.mathjax is None:
            with warnings.catch_warnings():
                warnings.filterwarnings(
                    "ignore", message=r".*scope\.mathjax.*", category=DeprecationWarning
                )
                scope.mathjax = (
                    "https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js"
                )
    else:
        # Kaleido v1
        import kaleido

        # Show a deprecation warning if the old method of setting defaults is used
        class DefaultsWrapper:
            def __getattr__(self, name):
                if hasattr(defaults, name):
                    if ENABLE_KALEIDO_V0_DEPRECATION_WARNINGS:
                        warnings.warn(
                            kaleido_scope_default_warning_func(name),
                            DeprecationWarning,
                            stacklevel=2,
                        )
                    return getattr(defaults, name)
                else:
                    raise AttributeError(bad_attribute_error_msg_func(name))

            def __setattr__(self, name, value):
                if hasattr(defaults, name):
                    if ENABLE_KALEIDO_V0_DEPRECATION_WARNINGS:
                        warnings.warn(
                            kaleido_scope_default_warning_func(name),
                            DeprecationWarning,
                            stacklevel=2,
                        )
                    setattr(defaults, name, value)
                else:
                    raise AttributeError(bad_attribute_error_msg_func(name))

        scope = DefaultsWrapper()

except ImportError as e:
    PlotlyScope = None
    scope = None


def as_path_object(file: Union[str, Path]) -> Union[Path, None]:
    """
    Cast the `file` argument, which may be either a string or a Path object,
    to a Path object.
    If `file` is neither a string nor a Path object, None will be returned.
    """
    if isinstance(file, str):
        # Use the standard Path constructor to make a pathlib object.
        path = Path(file)
    elif isinstance(file, Path):
        # `file` is already a Path object.
        path = file
    else:
        # We could not make a Path object out of file. Either `file` is an open file
        # descriptor with a `write()` method or it's an invalid object.
        path = None
    return path


def infer_format(path: Union[Path, None], format: Union[str, None]) -> Union[str, None]:
    if path is not None and format is None:
        ext = path.suffix
        if ext:
            format = ext.lstrip(".")
        else:
            raise ValueError(
                f"""
Cannot infer image type from output path '{path}'.
Please specify the type using the format parameter, or add a file extension.
For example:

    >>> import plotly.io as pio
    >>> pio.write_image(fig, file_path, format='png')
"""
            )
    return format


def to_image(
    fig: Union[dict, plotly.graph_objects.Figure],
    format: Union[str, None] = None,
    width: Union[int, None] = None,
    height: Union[int, None] = None,
    scale: Union[int, float, None] = None,
    validate: bool = True,
    # Deprecated
    engine: Union[str, None] = None,
) -> bytes:
    """
    Convert a figure to a static image bytes string

    Parameters
    ----------
    fig:
        Figure object or dict representing a figure

    format: str or None
        The desired image format. One of
            - 'png'
            - 'jpg' or 'jpeg'
            - 'webp'
            - 'svg'
            - 'pdf'
            - 'eps' (Kaleido v0.* only) (Requires the poppler library to be installed and on the PATH)

        If not specified, will default to:
            - `plotly.io.defaults.default_format` or `plotly.io.kaleido.scope.default_format` if engine is "kaleido"
            - `plotly.io.orca.config.default_format` if engine is "orca"

    width: int or None
        The width of the exported image in layout pixels. If the `scale`
        property is 1.0, this will also be the width of the exported image
        in physical pixels.

        If not specified, will default to:
            - `plotly.io.defaults.default_width` or `plotly.io.kaleido.scope.default_width` if engine is "kaleido"
            - `plotly.io.orca.config.default_width` if engine is "orca"

    height: int or None
        The height of the exported image in layout pixels. If the `scale`
        property is 1.0, this will also be the height of the exported image
        in physical pixels.

        If not specified, will default to:
            - `plotly.io.defaults.default_height` or `plotly.io.kaleido.scope.default_height` if engine is "kaleido"
            - `plotly.io.orca.config.default_height` if engine is "orca"

    scale: int or float or None
        The scale factor to use when exporting the figure. A scale factor
        larger than 1.0 will increase the image resolution with respect
        to the figure's layout pixel dimensions. Whereas as scale factor of
        less than 1.0 will decrease the image resolution.

        If not specified, will default to:
            - `plotly.io.defaults.default_scale` or `plotly.io.kaleido.scope.default_scale` if engine is "kaleido"
            - `plotly.io.orca.config.default_scale` if engine is "orca"

    validate: bool
        True if the figure should be validated before being converted to
        an image, False otherwise.

    engine: str
        Image export engine to use. This parameter is deprecated and Orca engine support will be
        dropped in the next major Plotly version. Until then, the following values are supported:
          - "kaleido": Use Kaleido for image export
          - "orca": Use Orca for image export
          - "auto" (default): Use Kaleido if installed, otherwise use Orca

    Returns
    -------
    bytes
        The image data
    """

    # Handle engine
    if engine is not None:
        if ENABLE_KALEIDO_V0_DEPRECATION_WARNINGS:
            warnings.warn(
                ENGINE_PARAM_DEPRECATION_MSG, DeprecationWarning, stacklevel=2
            )
    else:
        engine = "auto"

    if engine == "auto":
        if kaleido_available():
            # Default to kaleido if available
            engine = "kaleido"
        else:
            # See if orca is available
            from ._orca import validate_executable

            try:
                validate_executable()
                engine = "orca"
            except:
                # If orca not configured properly, make sure we display the error
                # message advising the installation of kaleido
                engine = "kaleido"

    if engine == "orca":
        if ENABLE_KALEIDO_V0_DEPRECATION_WARNINGS:
            warnings.warn(ORCA_DEPRECATION_MSG, DeprecationWarning, stacklevel=2)
        # Fall back to legacy orca image export path
        from ._orca import to_image as to_image_orca

        return to_image_orca(
            fig,
            format=format,
            width=width,
            height=height,
            scale=scale,
            validate=validate,
        )
    elif engine != "kaleido":
        raise ValueError(f"Invalid image export engine specified: {repr(engine)}")

    # Raise informative error message if Kaleido is not installed
    if not kaleido_available():
        raise ValueError(
            """
Image export using the "kaleido" engine requires the Kaleido package,
which can be installed using pip:

    $ pip install --upgrade kaleido
"""
        )

    # Convert figure to dict (and validate if requested)
    fig_dict = validate_coerce_fig_to_dict(fig, validate)

    # Request image bytes
    if kaleido_major() > 0:
        # Kaleido v1
        # Check if trying to export to EPS format, which is not supported in Kaleido v1
        if format == "eps":
            raise ValueError(
                f"""
EPS export is not supported by Kaleido v1. Please use SVG or PDF instead.
You can also downgrade to Kaleido v0, but support for Kaleido v0 will be removed after {ENGINE_SUPPORT_TIMELINE}.
To downgrade to Kaleido v0, run:
    $ pip install 'kaleido<1.0.0'
"""
            )
        from kaleido.errors import ChromeNotFoundError

        try:
            # TODO: Refactor to make it possible to use a shared Kaleido instance here
            img_bytes = kaleido.calc_fig_sync(
                fig_dict,
                opts=dict(
                    format=format or defaults.default_format,
                    width=width or defaults.default_width,
                    height=height or defaults.default_height,
                    scale=scale or defaults.default_scale,
                ),
                topojson=defaults.topojson,
                kopts=(
                    dict(
                        mathjax=defaults.mathjax,
                    )
                    if defaults.mathjax
                    else None
                ),
            )
        except ChromeNotFoundError:
            raise RuntimeError(PLOTLY_GET_CHROME_ERROR_MSG)

    else:
        # Kaleido v0
        if ENABLE_KALEIDO_V0_DEPRECATION_WARNINGS:
            warnings.warn(KALEIDO_DEPRECATION_MSG, DeprecationWarning, stacklevel=2)
        img_bytes = scope.transform(
            fig_dict, format=format, width=width, height=height, scale=scale
        )

    return img_bytes


def write_image(
    fig: Union[dict, plotly.graph_objects.Figure],
    file: Union[str, Path],
    format: Union[str, None] = None,
    scale: Union[int, float, None] = None,
    width: Union[int, None] = None,
    height: Union[int, None] = None,
    validate: bool = True,
    # Deprecated
    engine: Union[str, None] = "auto",
):
    """
    Convert a figure to a static image and write it to a file or writeable
    object

    Parameters
    ----------
    fig:
        Figure object or dict representing a figure

    file: str or writeable
        A string representing a local file path or a writeable object
        (e.g. a pathlib.Path object or an open file descriptor)

    format: str or None
        The desired image format. One of
          - 'png'
          - 'jpg' or 'jpeg'
          - 'webp'
          - 'svg'
          - 'pdf'
          - 'eps'  (Kaleido v0.* only) (Requires the poppler library to be installed and on the PATH)

        If not specified and `file` is a string then this will default to the
        file extension. If not specified and `file` is not a string then this
        will default to:
            - `plotly.io.defaults.default_format` or `plotly.io.kaleido.scope.default_format` if engine is "kaleido"
            - `plotly.io.orca.config.default_format` if engine is "orca"

    width: int or None
        The width of the exported image in layout pixels. If the `scale`
        property is 1.0, this will also be the width of the exported image
        in physical pixels.

        If not specified, will default to:
            - `plotly.io.defaults.default_width` or `plotly.io.kaleido.scope.default_width` if engine is "kaleido"
            - `plotly.io.orca.config.default_width` if engine is "orca"

    height: int or None
        The height of the exported image in layout pixels. If the `scale`
        property is 1.0, this will also be the height of the exported image
        in physical pixels.

        If not specified, will default to:
            - `plotly.io.defaults.default_height` or `plotly.io.kaleido.scope.default_height` if engine is "kaleido"
            - `plotly.io.orca.config.default_height` if engine is "orca"

    scale: int or float or None
        The scale factor to use when exporting the figure. A scale factor
        larger than 1.0 will increase the image resolution with respect
        to the figure's layout pixel dimensions. Whereas as scale factor of
        less than 1.0 will decrease the image resolution.

        If not specified, will default to:
            - `plotly.io.defaults.default_scale` or `plotly.io.kaleido.scope.default_scale` if engine is "kaleido"
            - `plotly.io.orca.config.default_scale` if engine is "orca"

    validate: bool
        True if the figure should be validated before being converted to
        an image, False otherwise.

    engine: str
        Image export engine to use. This parameter is deprecated and Orca engine support will be
        dropped in the next major Plotly version. Until then, the following values are supported:
          - "kaleido": Use Kaleido for image export
          - "orca": Use Orca for image export
          - "auto" (default): Use Kaleido if installed, otherwise use Orca

    Returns
    -------
    None
    """
    # Show Kaleido deprecation warning if needed
    if ENABLE_KALEIDO_V0_DEPRECATION_WARNINGS:
        if (
            engine in {None, "auto", "kaleido"}
            and kaleido_available()
            and kaleido_major() < 1
        ):
            warnings.warn(KALEIDO_DEPRECATION_MSG, DeprecationWarning, stacklevel=2)
        if engine == "orca":
            warnings.warn(ORCA_DEPRECATION_MSG, DeprecationWarning, stacklevel=2)
        if engine not in {None, "auto"}:
            warnings.warn(
                ENGINE_PARAM_DEPRECATION_MSG, DeprecationWarning, stacklevel=2
            )

    # Try to cast `file` as a pathlib object `path`.
    path = as_path_object(file)

    # Infer image format if not specified
    format = infer_format(path, format)

    # Request image
    # Do this first so we don't create a file if image conversion fails
    img_data = to_image(
        fig,
        format=format,
        scale=scale,
        width=width,
        height=height,
        validate=validate,
        engine=engine,
    )

    # Open file
    if path is None:
        # We previously failed to make sense of `file` as a pathlib object.
        # Attempt to write to `file` as an open file descriptor.
        try:
            file.write(img_data)
            return
        except AttributeError:
            pass
        raise ValueError(
            f"""
The 'file' argument '{file}' is not a string, pathlib.Path object, or file descriptor.
"""
        )
    else:
        # We previously succeeded in interpreting `file` as a pathlib object.
        # Now we can use `write_bytes()`.
        path.write_bytes(img_data)


def write_images(
    fig: Union[
        List[Union[dict, plotly.graph_objects.Figure]],
        Union[dict, plotly.graph_objects.Figure],
    ],
    file: Union[List[Union[str, Path]], Union[str, Path]],
    format: Union[List[Union[str, None]], Union[str, None]] = None,
    scale: Union[List[Union[int, float, None]], Union[int, float, None]] = None,
    width: Union[List[Union[int, None]], Union[int, None]] = None,
    height: Union[List[Union[int, None]], Union[int, None]] = None,
    validate: Union[List[bool], bool] = True,
) -> None:
    """
    Write multiple images to files or writeable objects. This is much faster than
    calling write_image() multiple times. This function can only be used with the Kaleido
    engine, v1.0.0 or greater.

    This function accepts the same arguments as write_image() (minus the `engine` argument),
    except that any of the arguments may be either a single value or an iterable of values.
    If multiple arguments are iterable, they must all have the same length.

    Parameters
    ----------
    fig:
        List of figure objects or dicts representing a figure.
        Also accepts a single figure or dict representing a figure.

    file: str, pathlib.Path, or list of (str or pathlib.Path)
        List of str or pathlib.Path objects representing local file paths to write to.
        Can also be a single str or pathlib.Path object if fig argument is
        a single figure or dict representing a figure.

    format: str, None, or list of (str or None)
        The image format to use for exported images.
        Supported formats are:
          - 'png'
          - 'jpg' or 'jpeg'
          - 'webp'
          - 'svg'
          - 'pdf'

        Use a list to specify formats for each figure or dict in the list
        provided to the `fig` argument.
        Specify format as a `str` to apply the same format to all exported images.
        If not specified, and the corresponding `file` argument has a file extension, then `format` will default to the
        file extension. Otherwise, will default to `plotly.io.defaults.default_format`
        or `plotly.io.kaleido.scope.default_format`.

    width: int, None, or list of (int or None)
        The width of the exported image in layout pixels. If the `scale`
        property is 1.0, this will also be the width of the exported image
        in physical pixels.

        Use a list to specify widths for each figure or dict in the list
        provided to the `fig` argument.
        Specify width as an `int` to apply the same width to all exported images.
        If not specified, will default to `plotly.io.defaults.default_width`
        or `plotly.io.kaleido.scope.default_width`.

    height: int, None, or list of (int or None)
        The height of the exported image in layout pixels. If the `scale`
        property is 1.0, this will also be the height of the exported image
        in physical pixels.

        Use a list to specify heights for each figure or dict in the list
        provided to the `fig` argument.
        Specify height as an `int` to apply the same height to all exported images.
        If not specified, will default to `plotly.io.defaults.default_height`
        or `plotly.io.kaleido.scope.default_height`.

    scale: int, float, None, or list of (int, float, or None)
        The scale factor to use when exporting the figure. A scale factor
        larger than 1.0 will increase the image resolution with respect
        to the figure's layout pixel dimensions. Whereas as scale factor of
        less than 1.0 will decrease the image resolution.

        Use a list to specify scale for each figure or dict in the list
        provided to the `fig` argument.
        Specify scale as an `int` or `float` to apply the same scale to all exported images.
        If not specified, will default to `plotly.io.defaults.default_scale`
        or `plotly.io.kaleido.scope.default_scale`.

    validate: bool or list of bool
        True if the figure should be validated before being converted to
        an image, False otherwise.

        Use a list to specify validation setting for each figure in the list
        provided to the `fig` argument.
        Specify validate as a boolean to apply the same validation setting to all figures.

    Returns
    -------
    None
    """

    # Raise informative error message if Kaleido v1 is not installed
    if not kaleido_available():
        raise ValueError(
            """
The `write_images()` function requires the Kaleido package,
which can be installed using pip:

    $ pip install --upgrade kaleido
"""
        )
    elif kaleido_major() < 1:
        raise ValueError(
            f"""
You have Kaleido version {Version(importlib_metadata.version("kaleido"))} installed.
The `write_images()` function requires the Kaleido package version 1.0.0 or greater,
which can be installed using pip:

    $ pip install 'kaleido>=1.0.0'
"""
        )

    # Broadcast arguments into correct format for passing to Kaleido
    arg_dicts = broadcast_args_to_dicts(
        fig=fig,
        file=file,
        format=format,
        scale=scale,
        width=width,
        height=height,
        validate=validate,
    )

    # For each dict:
    #   - convert figures to dicts (and validate if requested)
    #   - try to cast `file` as a Path object
    for d in arg_dicts:
        d["fig"] = validate_coerce_fig_to_dict(d["fig"], d["validate"])
        d["file"] = as_path_object(d["file"])

    # Reshape arg_dicts into correct format for passing to Kaleido
    # We call infer_format() here rather than above so that the `file` argument
    # has already been cast to a Path object.
    # Also insert defaults for any missing arguments as needed
    kaleido_specs = [
        dict(
            fig=d["fig"],
            path=d["file"],
            opts=dict(
                format=infer_format(d["file"], d["format"]) or defaults.default_format,
                width=d["width"] or defaults.default_width,
                height=d["height"] or defaults.default_height,
                scale=d["scale"] or defaults.default_scale,
            ),
            topojson=defaults.topojson,
        )
        for d in arg_dicts
    ]

    from kaleido.errors import ChromeNotFoundError

    try:
        kaleido.write_fig_from_object_sync(
            kaleido_specs,
            kopts=(
                dict(
                    mathjax=defaults.mathjax,
                )
                if defaults.mathjax
                else None
            ),
        )
    except ChromeNotFoundError:
        raise RuntimeError(PLOTLY_GET_CHROME_ERROR_MSG)


def full_figure_for_development(
    fig: Union[dict, plotly.graph_objects.Figure],
    warn: bool = True,
    as_dict: bool = False,
) -> Union[plotly.graph_objects.Figure, dict]:
    """
    Compute default values for all attributes not specified in the input figure and
    returns the output as a "full" figure. This function calls Plotly.js via Kaleido
    to populate unspecified attributes. This function is intended for interactive use
    during development to learn more about how Plotly.js computes default values and is
    not generally necessary or recommended for production use.

    Parameters
    ----------
    fig:
        Figure object or dict representing a figure

    warn: bool
        If False, suppress warnings about not using this in production.

    as_dict: bool
        If True, output is a dict with some keys that go.Figure can't parse.
        If False, output is a go.Figure with unparseable keys skipped.

    Returns
    -------
    plotly.graph_objects.Figure or dict
        The full figure
    """

    # Raise informative error message if Kaleido is not installed
    if not kaleido_available():
        raise ValueError(
            """
Full figure generation requires the Kaleido package,
which can be installed using pip:

    $ pip install --upgrade kaleido
"""
        )

    if warn:
        warnings.warn(
            "full_figure_for_development is not recommended or necessary for "
            "production use in most circumstances. \n"
            "To suppress this warning, set warn=False"
        )

    if kaleido_available() and kaleido_major() > 0:
        # Kaleido v1
        bytes = kaleido.calc_fig_sync(
            fig,
            opts=dict(format="json"),
        )
        fig = json.loads(bytes.decode("utf-8"))
    else:
        # Kaleido v0
        if ENABLE_KALEIDO_V0_DEPRECATION_WARNINGS:
            warnings.warn(
                f"Support for Kaleido versions less than 1.0.0 is deprecated and will be removed after {ENGINE_SUPPORT_TIMELINE}. "
                + "Please upgrade Kaleido to version 1.0.0 or greater (`pip install 'kaleido>=1.0.0'`).",
                DeprecationWarning,
            )
        fig = json.loads(scope.transform(fig, format="json").decode("utf-8"))

    if as_dict:
        return fig
    else:
        import plotly.graph_objects as go

        return go.Figure(fig, skip_invalid=True)


def get_chrome() -> None:
    """
    Install Google Chrome for Kaleido (Required for Plotly image export).
    This function can be run from the command line using the command `plotly_get_chrome`
    defined in pyproject.toml
    """

    usage = """
Usage: plotly_get_chrome [-y] [--path PATH]

Installs Google Chrome for Plotly image export.

Options:
  -y  Skip confirmation prompt
  --path PATH  Specify the path to install Chrome. Must be a path to an existing directory.
  --help  Show this message and exit.
"""

    if not kaleido_available() or kaleido_major() < 1:
        raise ValueError(
            """
This command requires Kaleido v1.0.0 or greater.
Install it using `pip install 'kaleido>=1.0.0'` or `pip install 'plotly[kaleido]'`."
"""
        )

    # Handle command line arguments
    import sys

    cli_args = sys.argv

    # Handle "-y" flag
    cli_yes = "-y" in cli_args
    if cli_yes:
        cli_args.remove("-y")

    # Handle "--path" flag
    chrome_install_path = None
    user_specified_path = False
    if "--path" in cli_args:
        path_index = cli_args.index("--path") + 1
        if path_index < len(cli_args):
            chrome_install_path = cli_args[path_index]
            cli_args.remove("--path")
            cli_args.remove(chrome_install_path)
            chrome_install_path = Path(chrome_install_path)
            user_specified_path = True
    else:
        from choreographer.cli.defaults import default_download_path

        chrome_install_path = default_download_path

    # If install path was chosen by user, make sure there is an existing directory
    # located at chrome_install_path; otherwise fail
    if user_specified_path:
        if not chrome_install_path.exists():
            raise ValueError(
                f"""
The specified install path '{chrome_install_path}' does not exist.
Please specify a path to an existing directory using the --path argument,
or omit the --path argument to use the default download path.
"""
            )
        # Make sure the path is a directory
        if not chrome_install_path.is_dir():
            raise ValueError(
                f"""
The specified install path '{chrome_install_path}' already exists but is not a directory.
Please specify a path to an existing directory using the --path argument,
or omit the --path argument to use the default download path.
"""
            )

    # If any arguments remain, command syntax was incorrect -- print usage and exit
    if len(cli_args) > 1:
        print(usage)
        sys.exit(1)

    if not cli_yes:
        print(
            f"""
Plotly will install a copy of Google Chrome to be used for generating static images of plots.
Chrome will be installed at: {chrome_install_path}"""
        )
        response = input("Do you want to proceed? [y/n] ")
        if not response or response[0].lower() != "y":
            print("Cancelled")
            return
    print("Installing Chrome for Plotly...")
    exe_path = kaleido.get_chrome_sync(path=chrome_install_path)
    print("Chrome installed successfully.")
    print(f"The Chrome executable is now located at: {exe_path}")


__all__ = ["to_image", "write_image", "scope", "full_figure_for_development"]