import json
import logging
import os
import os.path
import re
import sys
import warnings
from argparse import Namespace
from contextlib import suppress
from datetime import datetime
from pathlib import Path
from typing import TYPE_CHECKING, Any, Callable, ClassVar, Dict, List, NamedTuple, Optional, Sequence, Tuple, Union

import napari.utils.theme
import numpy as np
from napari.qt import get_stylesheet
from napari.utils import Colormap
from napari.utils.theme import get_theme
from napari.utils.theme import template as napari_template
from qtpy.QtCore import QObject, Signal
from qtpy.QtWidgets import QMessageBox, QWidget

from PartSeg.common_backend import napari_get_settings
from PartSeg.common_backend.partially_const_dict import PartiallyConstDict
from PartSegCore import register
from PartSegCore.color_image import default_colormap_dict, default_label_dict
from PartSegCore.color_image.base_colors import starting_colors
from PartSegCore.io_utils import find_problematic_entries, load_metadata_base
from PartSegCore.json_hooks import PartSegEncoder
from PartSegCore.project_info import AdditionalLayerDescription, HistoryElement, ProjectInfoBase
from PartSegCore.roi_info import ROIInfo
from PartSegCore.segmentation.algorithm_base import ROIExtractionResult
from PartSegCore.utils import ProfileDict
from PartSegImage import Image

if TYPE_CHECKING:  # pragma: no cover
    from napari.settings import NapariSettings
logger = logging.getLogger(__name__)

DIR_HISTORY = "io.dir_location_history"
FILE_HISTORY = "io.files_open_history"
MULTIPLE_FILES_OPEN_HISTORY = "io.multiple_files_open_history"
ROI_NOT_FIT = "roi do not fit to image"
IO_SAVE_DIRECTORY = "io.save_directory"


class ImageSettings(QObject):
    """
    Base class for all PartSeg settings. Keeps information about current Image.
    """

    image_changed = Signal(Image)
    image_path_changed = Signal(str)
    image_channel_count_changed = Signal(int)
    image_spacing_changed = Signal()
    roi_changed = Signal(ROIInfo)
    """
    :py:class:`.Signal`
    emitted when roi has changed
    """
    roi_clean = Signal()
    additional_layers_changed = Signal()

    def __init__(self):
        super().__init__()
        self._image: Optional[Image] = None
        self._image_path = ""
        self._roi_info = ROIInfo(None)
        self._additional_layers = {}
        self._parent: Optional[QWidget] = None

    def set_parent(self, parent: QWidget):
        self._parent = parent

    @property
    def full_segmentation(self):  # pragma: no cover
        raise AttributeError("full_segmentation not supported")

    @full_segmentation.setter
    def full_segmentation(self, val):  # pragma: no cover # pylint: disable=no-self-use
        raise AttributeError("full_segmentation not supported")

    @property
    def noise_remove_image_part(self):  # pragma: no cover
        raise AttributeError("noise_remove_image_part not supported")

    @noise_remove_image_part.setter
    def noise_remove_image_part(self, val):  # pragma: no cover # pylint: disable=no-self-use
        raise AttributeError("noise_remove_image_part not supported")

    @property
    def additional_layers(self) -> Dict[str, AdditionalLayerDescription]:
        return self._additional_layers

    @additional_layers.setter
    def additional_layers(self, val):  # pragma: no cover  # pylint: disable=no-self-use
        raise AttributeError("additional_layers assign not supported")

    @property
    def image_spacing(self):
        """:py:meth:`Image.spacing` proxy"""
        return self._image.spacing if self._image is not None else ()

    def is_image_2d(self):
        """:py:meth:`Image.is_2d` proxy"""
        return self._image is None or self._image.is_2d

    @image_spacing.setter
    def image_spacing(self, value):
        if len(value) not in [2, 3]:
            raise ValueError(f"value parameter should have length 2 or 3. Current length is {len(value)}.")
        if len(value) == 2:
            self._image.set_spacing((self._image.spacing[0], *list(value)))
        else:
            self._image.set_spacing(value)
        self.image_spacing_changed.emit()

    @property
    def segmentation(self) -> np.ndarray:  # pragma: no cover
        """current roi"""
        warnings.warn("segmentation parameter is renamed to roi", DeprecationWarning, stacklevel=2)
        return self.roi

    @property
    def roi(self) -> np.ndarray:
        """current roi"""
        return self._roi_info.roi

    @property
    def segmentation_info(self) -> ROIInfo:  # pragma: no cover
        warnings.warn("segmentation info parameter is renamed to roi", DeprecationWarning, stacklevel=2)
        return self.roi_info

    @property
    def roi_info(self) -> ROIInfo:
        return self._roi_info

    @roi.setter
    def roi(self, val: Union[np.ndarray, ROIInfo]):
        if val is None:
            self._roi_info = ROIInfo(val)
            self._additional_layers = {}
            self.roi_clean.emit()
            return
        try:
            if isinstance(val, np.ndarray):
                self._roi_info = ROIInfo(self.image.fit_array_to_image(val))
            else:
                self._roi_info = val.fit_to_image(self.image)
        except ValueError as e:
            raise ValueError(ROI_NOT_FIT) from e
        self._additional_layers = {}
        self.roi_changed.emit(self._roi_info)

    @property
    def sizes(self):
        return self._roi_info.sizes

    @property
    def image(self):
        return self._image

    @image.setter
    def image(self, value: Image):
        if value is None:
            return
        self._image = value
        if value.file_path is not None:
            self.image_path_changed.emit(value.file_path)
        self._image_changed()
        self._roi_info = ROIInfo(None)

        self.image_changed.emit(self._image)
        self.image_channel_count_changed.emit(self._image.channels)

    @property
    def has_channels(self):
        return self.channels > 1

    def _image_changed(self):
        """Reimplement hook for change of main image"""

    @property
    def image_path(self):
        return self._image.file_path if self.image is not None else ""

    @property
    def image_shape(self):
        # TODO analyse and decide if channels should be part of shape
        return self._image.shape if self.image is not None else ()

    @image_path.setter
    def image_path(self, value):
        self._image.file_path = value
        self.image_path_changed.emit(self._image_path)

    @property
    def channels(self):
        return 0 if self._image is None else self._image.channels

    def components_mask(self):
        return np.array([0] + [1] * np.max(self.roi), dtype=np.uint8)


class ColormapDict(PartiallyConstDict[Colormap]):
    """
    Dict for mixing custom colormap with predefined ones
    """

    if os.path.basename(sys.argv[0]) in ["sphinx-build", "sphinx-build.exe"]:  # pragma: no cover
        const_item_dict = {}
    else:
        const_item_dict = default_colormap_dict
    """
    Non removable items for this dict. Current value is :py:data:`default_colormap_dict`
    """

    @property
    def colormap_removed(self):
        """
        Signal that colormap is removed form dict
        """
        return self.item_removed

    @property
    def colormap_added(self):
        """
        Signal that colormap is added to dict
        """
        return self.item_added


class LabelColorDict(PartiallyConstDict[list]):
    """
    Dict for mixing custom label colors with predefined ones`
    """

    const_item_dict = default_label_dict
    """Non removable items for this dict. Current value is :py:data:`default_label_dict`"""

    def get_array(self, key: str) -> np.ndarray:
        """Get labels as numpy array"""
        return np.array(self[key][0], dtype=np.uint8)


class ViewSettings(ImageSettings):
    colormap_changes = Signal()
    labels_changed = Signal()
    theme_changed = Signal()
    profile_data_changed = Signal(str, object)
    """Signal about changes in stored data (set with set_in_profile)"""

    def __init__(self):
        super().__init__()
        self.color_map = []
        self.border_val = []
        self.current_profile_dict = "default"
        self.view_settings_dict = ProfileDict()
        self.colormap_dict = ColormapDict(self.get_from_profile("custom_colormap", {}))
        self.label_color_dict = LabelColorDict(self.get_from_profile("custom_label_colors", {}))
        self.cached_labels: Optional[Tuple[str, np.ndarray]] = None

    @property
    def theme_name(self) -> str:
        """Name of current theme."""
        return self.get_from_profile("theme", "dark")

    @property
    def theme(self):
        """Theme as structure."""
        try:
            return get_theme(self.theme_name, as_dict=False)
        except TypeError:  # pragma: no cover
            theme = get_theme(self.theme_name)
            return Namespace(
                **{k: Color(v) if isinstance(v, str) and v.startswith("rgb") else v for k, v in theme.items()}
            )

    @property
    def style_sheet(self):
        return self.get_style_sheet()

    def get_style_sheet(self):
        """QSS style sheet for current theme."""
        with warnings.catch_warnings():
            warnings.simplefilter("ignore", FutureWarning)
            theme = get_theme(self.theme_name, as_dict=True)
        # TODO understand qss overwrite mechanism
        return napari_template("\n".join(register.qss_list) + get_stylesheet() + "\n".join(register.qss_list), **theme)

    @theme_name.setter
    def theme_name(self, value: str):
        """Name of current theme."""
        if value not in napari.utils.theme.available_themes():
            raise ValueError(f"Unsupported theme {value}. Supported one: {self.theme_list()}")
        if value == self.theme_name:
            return
        self.set_in_profile("theme", value)
        self.theme_changed.emit()

    @staticmethod
    def theme_list():
        """Sequence of available themes"""
        try:
            return napari.utils.theme.available_themes()
        except:  # noqa: E722  # pylint: disable=bare-except  # pragma: no cover
            return ("light",)

    @property
    def chosen_colormap(self):
        """Sequence of selected colormap to be available in dropdown"""
        data = self.get_from_profile("colormaps", starting_colors[:])
        res = [x for x in data if x in self.colormap_dict]
        if len(res) != data:
            if not res:
                res = starting_colors[:]
            self.set_in_profile("colormaps", res)
        return res

    @chosen_colormap.setter
    def chosen_colormap(self, val):
        self.set_in_profile("colormaps", val)
        self.colormap_changes.emit()

    @property
    def current_labels(self):
        """Current labels scheme for marking ROI"""
        return self.get_from_profile("labels_used", "default")

    @current_labels.setter
    def current_labels(self, val):
        if val not in self.label_color_dict:
            raise ValueError(f"Unknown label scheme name '{val}'")
        self.set_in_profile("labels_used", val)
        self.labels_changed.emit()

    @property
    def label_colors(self):
        key = self.current_labels
        if key not in self.label_color_dict:
            key = "default"
            self.current_labels = key

        if not (self.cached_labels and key == self.cached_labels[0]):
            self.cached_labels = key, self.label_color_dict.get_array(key)

        return self.cached_labels[1]

    def chosen_colormap_change(self, name, visibility):
        colormaps = set(self.chosen_colormap)
        if visibility:
            colormaps.add(name)
        else:
            with suppress(KeyError):
                colormaps.remove(name)
        # TODO update sorting rule
        self.chosen_colormap = sorted(colormaps, key=self.colormap_dict.get_position)

    def get_channel_info(self, view: str, num: int, default: Optional[str] = None) -> str:  # pragma: no cover
        warnings.warn(
            "get_channel_info is deprecated, use get_channel_colormap_name instead",
            category=DeprecationWarning,
            stacklevel=2,
        )
        return self.get_channel_colormap_name(view, num, default)

    def get_channel_colormap_name(self, view: str, num: int, default: Optional[str] = None) -> str:
        cm = self.chosen_colormap
        if default is None:
            default = cm[num % len(cm)]
        resp = self.get_from_profile(f"{view}.cmap.num{num}", default)
        if resp not in self.colormap_dict:
            resp = cm[num % len(cm)]
            self.set_in_profile(f"{view}.cmap.num{num}", resp)
        return resp

    def set_channel_info(self, view: str, num, value: str):  # pragma: no cover
        warnings.warn(
            "set_channel_info is deprecated, use set_channel_colormap_name instead",
            category=DeprecationWarning,
            stacklevel=2,
        )
        self.set_channel_colormap_name(view, num, value)

    def set_channel_colormap_name(self, view: str, num, value: str):
        self.set_in_profile(f"{view}.cmap.num{num}", value)

    def connect_channel_colormap_name(self, view: str, fun: Callable):
        self.connect_to_profile(f"{view}.cmap", fun)

    @property
    def available_colormaps(self):
        return list(self.colormap_dict.keys())

    def _image_changed(self):
        self.border_val = self.image.get_ranges()
        super()._image_changed()

    def change_profile(self, name):
        self.current_profile_dict = name
        self.view_settings_dict.profile_change()

    def set_in_profile(self, key_path, value):
        """
        Function for saving information used in visualization. This is accessor to
        :py:meth:`~.ProfileDict.set` of inner variable.

        :param key_path: dot separated path
        :param value: value to store. The value need to be json serializable."""
        self.view_settings_dict.set(f"{self.current_profile_dict}.{key_path}", value)
        self.profile_data_changed.emit(key_path, value)

    def get_from_profile(self, key_path, default=None):
        """
        Function for getting information used in visualization. This is accessor to
        :py:meth:`~.ProfileDict.get` of inner variable.

        :param key_path: dot separated path
        :param default: default value if key is missed
        """
        return self.view_settings_dict.get(f"{self.current_profile_dict}.{key_path}", default)

    def connect_to_profile(self, key_path, callback):
        # TODO  fixme fix when introduce switch profiles
        self.view_settings_dict.connect(key_path, callback)


class SaveSettingsDescription(NamedTuple):
    file_name: str
    values: Union[dict, ProfileDict]


class BaseSettings(ViewSettings):
    """
    :ivar json_folder_path: default location for saving/loading settings data
    :ivar last_executed_algorithm: name of last executed algorithm.
    :cvar save_locations_keys: list of names of distinct save location.
        location are stored in "io"

    """

    mask_changed = Signal()
    points_changed = Signal()
    request_load_files = Signal(list)
    """:py:class:`~.Signal` mask changed signal"""
    json_encoder_class = PartSegEncoder
    load_metadata = staticmethod(load_metadata_base)
    algorithm_changed = Signal()
    """:py:class:`~.Signal` emitted when current algorithm should be changed"""
    save_locations_keys: ClassVar[List[str]] = []

    def __init__(self, json_path: Union[Path, str], profile_name: str = "default"):
        """
        :param json_path: path to store
        :param profile_name: name of profile to be used. default value is "default"
        """
        super().__init__()
        napari_path = os.path.dirname(json_path) if os.path.basename(json_path) in ["analysis", "mask"] else json_path
        self.napari_settings: NapariSettings = napari_get_settings(napari_path)
        self._current_roi_dict = profile_name
        self._roi_dict = ProfileDict()
        self._last_algorithm_dict = ProfileDict()
        self.json_folder_path = json_path
        self.last_executed_algorithm = ""
        self.history: List[HistoryElement] = []
        self.history_index = -1
        self.last_executed_algorithm = ""
        self._points = None

    def _image_changed(self):
        super()._image_changed()
        self.points = None

    @property
    def points(self):
        return self._points

    @points.setter
    def points(self, value):
        self._points = value if value is not None else None
        self.points_changed.emit()

    @property
    def theme_name(self) -> str:
        try:
            theme = self.napari_settings.appearance.theme
            if self.get_from_profile("first_start", True):
                theme = "light"
                self.napari_settings.appearance.theme = theme
                self.set_in_profile("first_start", False)
            return theme
        except AttributeError:  # pragma: no cover
            return "light"

    @theme_name.setter
    def theme_name(self, value: str):
        self.napari_settings.appearance.theme = value

    def set_segmentation_result(self, result: ROIExtractionResult):
        if (
            result.file_path is not None and result.file_path and result.file_path != self.image.file_path
        ):  # pragma: no cover
            if self._parent is not None:
                # TODO change to non disrupting popup
                QMessageBox().warning(
                    self._parent, "Result file bug", "It looks like one try to set ROI form another file."
                )
            return
        if result.info_text and self._parent is not None:
            QMessageBox().information(self._parent, "Algorithm info", result.info_text)

        self._additional_layers = result.additional_layers
        self.last_executed_algorithm = result.parameters.algorithm
        self.set_algorithm(f"algorithms.{result.parameters.algorithm}", result.parameters.values)
        # Fixme not use EventedDict here
        try:
            roi_info = result.roi_info.fit_to_image(self.image)
        except ValueError as e:  # pragma: no cover
            raise ValueError(ROI_NOT_FIT) from e
        if result.points is not None:
            self.points = result.points
        self._roi_info = roi_info
        self.roi_changed.emit(self._roi_info)

    def _load_files_call(self, files_list: List[str]):
        self.request_load_files.emit(files_list)

    def add_history_element(self, elem: HistoryElement) -> None:
        self.history_index += 1
        if self.history_index < len(self.history) and self.cmp_history_element(elem, self.history[self.history_index]):
            self.history[self.history_index] = elem
        else:
            self.history = self.history[: self.history_index]
            self.history.append(elem)

    def history_size(self) -> int:
        return self.history_index + 1

    def history_redo_size(self) -> int:
        if self.history_index + 1 == len(self.history):
            return 0
        return len(self.history[self.history_index + 1 :])

    def history_redo_clean(self) -> None:
        self.history = self.history[: self.history_size()]

    def history_current_element(self) -> HistoryElement:
        return self.history[self.history_index]

    def history_next_element(self) -> HistoryElement:
        return self.history[self.history_index + 1]

    def history_pop(self) -> Optional[HistoryElement]:
        if self.history_index != -1:
            self.history_index -= 1
            return self.history[self.history_index + 1]
        return None

    def set_history(self, history: List[HistoryElement]):
        self.history = history
        self.history_index = len(self.history) - 1

    def get_history(self) -> List[HistoryElement]:
        return self.history[: self.history_index + 1]

    @staticmethod
    def cmp_history_element(el1, el2):
        return False

    @property
    def mask(self):
        return self._image.mask

    @mask.setter
    def mask(self, value):
        try:
            self._image.set_mask(value)
            self.mask_changed.emit()
        except ValueError as e:
            raise ValueError("mask do not fit to image") from e

    def get_save_list(self) -> List[SaveSettingsDescription]:
        """List of files in which program save the state."""
        return [
            SaveSettingsDescription("segmentation_settings.json", self._roi_dict),
            SaveSettingsDescription("view_settings.json", self.view_settings_dict),
            SaveSettingsDescription("algorithm_settings.json", self._last_algorithm_dict),
        ]

    def get_path_history(self) -> List[str]:
        """
        return list containing last 10 elements added with :py:meth:`.add_path_history` and
        last opened in each category form :py:attr:`save_location_keys`
        """
        res = self.get(DIR_HISTORY, [])[:]
        for name in self.save_locations_keys:
            val = self.get(f"io.{name}", str(Path.home()))
            if val not in res:
                res = [*res, val]
        return res

    @staticmethod
    def _add_elem_to_list(data_list: list, value: Any, keep_len=10) -> list:
        try:
            data_list.remove(value)
        except ValueError:
            data_list = data_list[: keep_len - 1]
        return [value, *data_list]

    def get_last_files(self) -> List[Tuple[Tuple[Union[str, Path], ...], str]]:
        return self.get(FILE_HISTORY, [])

    def add_load_files_history(self, file_path: Sequence[Union[str, Path]], load_method: str):  # pragma: no cover
        warnings.warn("`add_load_files_history` is deprecated", FutureWarning, stacklevel=2)
        return self.add_last_files(file_path, load_method)

    def add_last_files(self, file_path: Sequence[Union[str, Path]], load_method: str):
        self.set(FILE_HISTORY, self._add_elem_to_list(self.get(FILE_HISTORY, []), [list(file_path), load_method]))
        # keep list of files as list because json serialize tuple to list
        self.add_path_history(os.path.dirname(file_path[0]))

    def get_last_files_multiple(self) -> List[Tuple[Tuple[Union[str, Path], ...], str]]:
        return self.get(MULTIPLE_FILES_OPEN_HISTORY, [])

    def add_last_files_multiple(self, file_paths: List[Union[str, Path]], load_method: str):
        self.set(
            MULTIPLE_FILES_OPEN_HISTORY,
            self._add_elem_to_list(
                self.get(MULTIPLE_FILES_OPEN_HISTORY, []), [list(file_paths), load_method], keep_len=30
            ),
        )
        # keep list of files as list because json serialize tuple to list
        self.add_path_history(os.path.dirname(file_paths[0]))

    def add_path_history(self, dir_path: Union[str, Path]):
        """Save path in history of visited directories. Store only 10 last"""
        dir_path = str(dir_path)
        self.set(DIR_HISTORY, self._add_elem_to_list(self.get(DIR_HISTORY, []), dir_path))

    def set(self, key_path: str, value):
        """
        function for saving general state (not visualization). This is accessor to
        :py:meth:`~.ProfileDict.set` of inner variable.

        :param key_path: dot separated path
        :param value: value to store. The value need to be json serializable.
        """
        if key_path.startswith(("algorithm_widget_state.", "algorithms.")) or key_path == "current_algorithm":
            warnings.warn("Use `set_algorithm_state` instead of `set` for algorithm state", FutureWarning, stacklevel=2)
            self.set_algorithm(key_path, value)
            return
        self._roi_dict.set(f"{self._current_roi_dict}.{key_path}", value)

    def get(self, key_path: str, default=None):
        """
        Function for getting general state (not visualization). This is accessor to
        :py:meth:`~.ProfileDict.get` of inner variable.

        :param key_path: dot separated path
        :param default: default value if key is missed
        """
        if key_path.startswith(("algorithms.", "algorithm_widget_state.")) or key_path == "current_algorithm":
            warnings.warn("Use `set_algorithm_state` instead of `set` for algorithm state", FutureWarning, stacklevel=2)
            return self.get_algorithm(key_path, default)
        return self._roi_dict.get(f"{self._current_roi_dict}.{key_path}", default)

    def set_algorithm(self, key_path: str, value):
        """
        function for saving last algorithm used information. This is accessor to
        :py:meth:`~.ProfileDict.set` of inner variable.

        :param key_path: dot separated path
        :param value: value to store. The value need to be json serializable.
        """
        # if key_path.startswith("")
        self._last_algorithm_dict.set(f"{self._current_roi_dict}.{key_path}", value)

    def get_algorithm(self, key_path: str, default=None):
        """
        Function for getting last algorithm used information. This is accessor to
        :py:meth:`~.ProfileDict.get` of inner variable.

        :param key_path: dot separated path
        :param default: default value if key is missed
        """
        return self._last_algorithm_dict.get(f"{self._current_roi_dict}.{key_path}", default)

    def connect_(self, key_path, callback):
        # TODO  fixme fix when introduce switch profiles
        self._roi_dict.connect(key_path, callback)

    def dump_part(self, file_path, path_in_dict, names=None):
        data = self.get(path_in_dict)
        if names is not None:
            data = {name: data[name] for name in names}
        os.makedirs(os.path.dirname(file_path), exist_ok=True)
        with open(file_path, "w", encoding="utf-8") as ff:
            json.dump(data, ff, cls=self.json_encoder_class, indent=2)

    def dump(self, folder_path: Union[Path, str, None] = None):
        """
        Save current application settings to disc.

        :param folder_path: path to directory in which data should be saved.
            If is None then use :py:attr:`.json_folder_path`
        """
        if self.napari_settings.save is not None:
            self.napari_settings.save()
        else:
            self.napari_settings._save()  # pylint: disable=protected-access
        if folder_path is None:
            folder_path = self.json_folder_path
        if not os.path.exists(folder_path):
            os.makedirs(folder_path)
        errors_list = []
        for el in self.get_save_list():
            try:
                dump_string = json.dumps(el.values, cls=self.json_encoder_class, indent=2)
                with open(os.path.join(folder_path, el.file_name), "w", encoding="utf-8") as ff:
                    ff.write(dump_string)
            except Exception as e:  # pylint: disable=broad-except
                errors_list.append((e, os.path.join(folder_path, el.file_name)))
        if errors_list:
            logger.error(errors_list)
        return errors_list

    def _load_settings_file(self, file_path: Union[Path, str]) -> Tuple[ProfileDict, Any]:
        error = None
        data: ProfileDict = self.load_metadata(file_path)
        if isinstance(data, dict) and "__error__" in data:
            error = data["__error__"]
            data = ProfileDict()
        elif not data.verify_data():
            filtered = data.pop_errors()
            error = filtered
            filtered_base_str = ((k, "\n".join(f"{x}" for x in find_problematic_entries(v))) for k, v in filtered)
            filtered_str = "\n".join(f"{k}\n{v}\n" for k, v in filtered_base_str)

            logger.error("error in load data from %s problematic keys are %s", file_path, filtered_str)
        return data, error

    def load(self, folder_path: Union[Path, str, None] = None):
        """
        Load settings state from given directory

        :param folder_path: path to directory in which data should be saved.
            If is None then use :py:attr:`.json_folder_path`
        """
        if folder_path is None:
            folder_path = self.json_folder_path
        errors_dict = {}
        for el in self.get_save_list():
            file_path = os.path.join(folder_path, el.file_name)
            if not os.path.exists(file_path):
                continue
            error = None
            try:
                data, error = self._load_settings_file(file_path)
                if error is not None:
                    errors_dict[file_path] = error
                el.values.update(data)
            except Exception as e:  # pylint: disable=broad-except
                error = True
                logger.error(e)
                errors_dict[file_path] = e
            finally:
                if error is not None:
                    timestamp = datetime.now().strftime("%Y-%m-%d_%H_%M_%S")
                    base_path, ext = os.path.splitext(file_path)
                    os.rename(file_path, f"{base_path}_{timestamp}{ext}")

        self.label_color_dict._refresh_order()  # pylint: disable=protected-access
        self.colormap_dict._refresh_order()  # pylint: disable=protected-access

        return errors_dict

    def get_project_info(self) -> ProjectInfoBase:
        """Get all information needed to save project"""
        raise NotImplementedError  # pragma: no cover

    def set_project_info(self, data: ProjectInfoBase):
        """Set project info"""
        raise NotImplementedError  # pragma: no cover

    @staticmethod
    def verify_image(image: Image, silent=True) -> Union[Image, bool]:
        if image.is_time:
            if image.is_stack:
                raise TimeAndStackException
            if silent:
                return image.swap_time_and_stack()
            raise SwapTimeStackException
        return True


class SwapTimeStackException(Exception):
    """
    Exception which inform that current image shape is not supported,
    but can be if time and stack axes were swapped
    """


class TimeAndStackException(Exception):
    """
    Exception which inform that current image has both time
    and stack dat which is not supported
    """


class Color:  # pragma: no cover
    def __init__(self, text):
        color_re = re.compile(r"rgb\((\d+), (\d+), (\d+)\)")
        self.colors = tuple(map(int, color_re.match(text).groups()))

    def as_rgb_tuple(self):
        return self.colors
