"""
/***************************************************************************
 LDMP - A QGIS plugin
 This plugin supports monitoring and reporting of land degradation to the UNCCD
 and in support of the SDG Land Degradation Neutrality (LDN) target.
                              -------------------
        begin                : 2017-05-23
        git sha              : $Format:%H$
        copyright            : (C) 2017 by Conservation International
        email                : trends.earth@conservation.org
 ***************************************************************************/
"""
import dataclasses
import functools
import json
import os
import typing
import uuid
from pathlib import Path

import numpy as np
import qgis.core
import qgis.utils
from osgeo import gdal
from osgeo import osr
from qgis.PyQt import QtCore
from qgis.PyQt import QtWidgets
from qgis.PyQt import uic
from qgis.PyQt.QtCore import QSettings
from te_schemas.jobs import JobStatus
from te_schemas.results import Band as JobBand
from te_schemas.results import RasterType
from te_schemas.results import ResultType

from . import areaofinterest
from . import conf
from . import GetTempFilename
from . import layers
from . import metadata
from . import metadata_dialog
from . import utils
from . import worker
from .jobs.manager import job_manager
from .jobs.manager import set_results_extents
from .jobs.manager import update_uris_if_needed
from .jobs.models import Job
from .logger import log

Ui_DlgDataIOLoadTE, _ = uic.loadUiType(
    str(Path(__file__).parents[0] / "gui/DlgDataIOLoadTE.ui")
)
Ui_DlgDataIOImportSOC, _ = uic.loadUiType(
    str(Path(__file__).parents[0] / "gui/DlgDataIOImportSOC.ui")
)
Ui_DlgDataIOImportProd, _ = uic.loadUiType(
    str(Path(__file__).parents[0] / "gui/DlgDataIOImportProd.ui")
)
Ui_DlgDataIOAddLayersToMap, _ = uic.loadUiType(
    str(Path(__file__).parents[0] / "gui/DlgDataIOAddLayersToMap.ui")
)
Ui_DlgJobsDetails, _ = uic.loadUiType(
    str(Path(__file__).parents[0] / "gui/DlgJobsDetails.ui")
)
Ui_WidgetDataIOImportSelectFileInput, _ = uic.loadUiType(
    str(Path(__file__).parents[0] / "gui/WidgetDataIOImportSelectFileInput.ui")
)
Ui_WidgetDataIOImportSelectRasterOutput, _ = uic.loadUiType(
    str(Path(__file__).parents[0] / "gui/WidgetDataIOImportSelectRasterOutput.ui")
)
Ui_WidgetDataIOSelectTELayerExisting, _ = uic.loadUiType(
    str(Path(__file__).parents[0] / "gui/WidgetDataIOSelectTELayerExisting.ui")
)
Ui_WidgetDataIOSelectTELayerImport, _ = uic.loadUiType(
    str(Path(__file__).parents[0] / "gui/WidgetDataIOSelectTELayerImport.ui")
)
Ui_WidgetDataIOSelectTEDatasetExisting, _ = uic.loadUiType(
    str(Path(__file__).parents[0] / "gui/WidgetDataIOSelectTEDatasetExisting.ui")
)


class tr_data_io:
    def tr(message):
        return QtCore.QCoreApplication.translate("tr_data_io", message)


@dataclasses.dataclass()
class Band:
    job: Job
    path: Path
    band_index: int
    band_info: JobBand

    def get_name_info(self):
        if self.job.task_name:
            name_info_parts = [self.job.task_name]
        else:
            name_info_parts = []
        name_info_parts.extend(
            [
                self.job.local_context.area_of_interest_name,
                layers.get_band_title(JobBand.Schema().dump(self.band_info)),
                utils.utc_to_local(self.job.start_date).strftime("%Y-%m-%d %H:%M"),
            ]
        )

        return " - ".join(name_info_parts)

    def get_hover_info(self):
        if self.job.task_name:
            hover_info_parts = [self.job.task_name]
        else:
            hover_info_parts = []
        hover_info_parts.extend(
            [
                self.job.local_context.area_of_interest_name + "\n",
                layers.get_band_title(JobBand.Schema().dump(self.band_info)) + "\n",
                utils.utc_to_local(self.job.start_date).strftime("%Y-%m-%d %H:%M")
                + "\n",
                # TODO: figure out a way to cleanup the metadata so it is
                # presentable and useful - likely need to have each script
                # contain a dictionary of metadata fields that should be
                # shown to the user by default
            ]
        )


@dataclasses.dataclass()
class Dataset:
    job: Job
    path: Path

    def get_name_info(self):
        name_info_parts = []
        name_info_parts.extend(
            [
                self.job.local_context.area_of_interest_name,
                self.job.visible_name,
                utils.utc_to_local(self.job.start_date).strftime("%Y-%m-%d %H:%M"),
            ]
        )

        return " - ".join(name_info_parts)

    def get_hover_info(self):
        hover_info_parts = []
        hover_info_parts.extend(
            [
                self.job.visible_name + " - ",
                self.job.local_context.area_of_interest_name + "\n",
                utils.utc_to_local(self.job.start_date).strftime("%Y-%m-%d %H:%M"),
            ]
        )

        return "".join(hover_info_parts)


class RemapVectorWorker(worker.AbstractWorker):
    def __init__(
        self,
        l,
        out_file,
        attribute,
        remap_dict,
        in_data_type,
        out_res,
        out_data_type=gdal.GDT_Int16,
    ):
        worker.AbstractWorker.__init__(self)

        self.l = l
        self.out_file = out_file
        self.attribute = attribute
        self.remap_dict = remap_dict
        self.in_data_type = in_data_type
        self.out_res = out_res
        self.out_data_type = out_data_type

    def work(self):
        self.toggle_show_progress.emit(True)
        self.toggle_show_cancel.emit(True)

        crs_src_string = self.l.crs().toProj()
        crs_src = qgis.core.QgsCoordinateReferenceSystem()
        crs_src.createFromProj(crs_src_string)
        crs_dst = qgis.core.QgsCoordinateReferenceSystem("epsg:4326")
        t = qgis.core.QgsCoordinateTransform(
            crs_src, crs_dst, qgis.core.QgsProject.instance()
        )

        l_out = qgis.core.QgsVectorLayer(
            "{datatype}?crs=proj4:{crs}".format(
                datatype=self.in_data_type, crs=crs_dst.toProj()
            ),
            "land cover (transformed)",
            "memory",
        )
        l_out.dataProvider().addAttributes(
            [qgis.core.QgsField("code", QtCore.QVariant.Int)]
        )
        l_out.updateFields()

        feats = []
        n = 1

        for f in self.l.getFeatures():
            if self.killed:
                log("Processing killed by user while remapping vector")

                return None
            geom = f.geometry()
            geom.transform(t)
            new_f = qgis.core.QgsFeature()
            new_f.setGeometry(geom)
            new_f.setAttributes([self.remap_dict[f.attribute(self.attribute)]])
            feats.append(new_f)
            n += 1
            # Commit the changes every 5% of the way through the length of the
            # features

            if n > (self.l.featureCount() / 20):
                l_out.dataProvider().addFeatures(feats)
                l_out.commitChanges()
                # Note there will be two progress bars that will fill to 100%,
                # first one for this loop, and then another for rasterize, both
                # with the same title.
                self.progress.emit(100 * float(n) / self.l.featureCount())
                feats = []

        if not l_out.isValid():
            log(
                'Error remapping and transforming vector layer from "{}" to "{}")'.format(
                    crs_src_string, crs_dst.toProj()
                )
            )

            return None

        # Write l_out to a shapefile for usage by gdal rasterize
        temp_shp = GetTempFilename(".shp")
        log("Writing temporary shapefile to {}".format(temp_shp))
        err = qgis.core.QgsVectorFileWriter.writeAsVectorFormat(
            l_out, temp_shp, "UTF-8", crs_dst, "ESRI Shapefile"
        )

        if err != qgis.core.QgsVectorFileWriter.NoError:
            log("Error writing layer to {}".format(temp_shp))

            return None

        log("Rasterizing...")
        res = gdal.Rasterize(
            self.out_file,
            temp_shp,
            format="GTiff",
            xRes=self.out_res,
            yRes=-self.out_res,
            noData=-32768,
            attribute="code",
            outputSRS="epsg:4326",
            outputType=self.out_data_type,
            creationOptions=["COMPRESS=LZW"],
            callback=self.progress_callback,
        )
        os.remove(temp_shp)

        if res:
            return True
        else:
            return None

    def progress_callback(self, fraction, message=None, data=None):
        if self.killed:
            return False
        else:
            self.progress.emit(100 * fraction)

            return True


class RasterizeWorker(worker.AbstractWorker):
    def __init__(
        self, in_file, out_file, out_res, attribute, out_data_type=gdal.GDT_Int16
    ):
        worker.AbstractWorker.__init__(self)

        self.in_file = in_file
        self.out_file = out_file

        self.out_res = out_res
        self.out_data_type = out_data_type
        self.attribute = attribute

    def work(self):
        self.toggle_show_progress.emit(True)
        self.toggle_show_cancel.emit(True)

        res = gdal.Rasterize(
            self.out_file,
            self.in_file,
            format="GTiff",
            xRes=self.out_res,
            yRes=-self.out_res,
            noData=-32768,
            attribute=self.attribute,
            outputSRS="epsg:4326",
            outputType=self.out_data_type,
            creationOptions=["COMPRESS=LZW"],
            callback=self.progress_callback,
        )

        if res:
            return True
        else:
            return None

    def progress_callback(self, fraction, message, data):
        if self.killed:
            return False
        else:
            self.progress.emit(100 * fraction)

            return True


class RasterImportWorker(worker.AbstractWorker):
    def __init__(
        self, in_file, out_file, out_res, resample_mode, out_data_type=gdal.GDT_Int16
    ):
        worker.AbstractWorker.__init__(self)

        self.in_file = in_file
        self.out_file = out_file
        self.out_res = out_res
        self.resample_mode = resample_mode
        self.out_data_type = out_data_type

    def work(self):
        self.toggle_show_progress.emit(True)
        self.toggle_show_cancel.emit(True)

        if self.out_res:
            res = gdal.Warp(
                self.out_file,
                self.in_file,
                format="GTiff",
                xRes=self.out_res,
                yRes=-self.out_res,
                dstNodata=-32768,
                dstSRS="epsg:4326",
                outputType=self.out_data_type,
                resampleAlg=self.resample_mode,
                creationOptions=["COMPRESS=LZW"],
                callback=self.progress_callback,
            )
        else:
            res = gdal.Warp(
                self.out_file,
                self.in_file,
                format="GTiff",
                dstNodata=-32768,
                dstSRS="epsg:4326",
                outputType=self.out_data_type,
                resampleAlg=self.resample_mode,
                creationOptions=["COMPRESS=LZW"],
                callback=self.progress_callback,
            )

        if res:
            return True
        else:
            return None

    def progress_callback(self, fraction, message, data):
        if self.killed:
            return False
        else:
            self.progress.emit(100 * fraction)

            return True


class RemapRasterWorker(worker.AbstractWorker):
    def __init__(self, in_file, out_file, remap_list):
        worker.AbstractWorker.__init__(self)

        self.in_file = in_file
        self.out_file = out_file
        self.remap_list = remap_list

    def work(self):
        self.toggle_show_progress.emit(True)
        self.toggle_show_cancel.emit(True)

        ds_in = gdal.Open(self.in_file)

        band = ds_in.GetRasterBand(1)

        block_sizes = band.GetBlockSize()
        x_block_size = block_sizes[0]
        y_block_size = block_sizes[1]
        xsize = band.XSize
        ysize = band.YSize

        driver = gdal.GetDriverByName("GTiff")
        ds_out = driver.Create(
            self.out_file, xsize, ysize, 1, gdal.GDT_Int16, ["COMPRESS=LZW"]
        )
        src_gt = ds_in.GetGeoTransform()
        ds_out.SetGeoTransform(src_gt)
        out_srs = osr.SpatialReference()
        out_srs.ImportFromWkt(ds_in.GetProjectionRef())
        ds_out.SetProjection(out_srs.ExportToWkt())

        blocks = 0

        for y in range(0, ysize, y_block_size):
            if self.killed:
                log(
                    "Processing of {} killed by user after processing {} out of {} blocks.".format(
                        deg_file, y, ysize
                    )
                )

                break
            self.progress.emit(100 * float(y) / ysize)

            if y + y_block_size < ysize:
                rows = y_block_size
            else:
                rows = ysize - y

            for x in range(0, xsize, x_block_size):
                if x + x_block_size < xsize:
                    cols = x_block_size
                else:
                    cols = xsize - x
                    d = band.ReadAsArray(x, y, cols, rows)

                    for value, replacement in zip(
                        self.remap_list[0], self.remap_list[1]
                    ):
                        d[d == int(value)] = int(replacement)
                ds_out.GetRasterBand(1).WriteArray(d, x, y)
                blocks += 1

        if self.killed:
            del ds_out
            os.remove(out_file)

            return None
        else:
            return True


def get_unique_values_vector(l, field, max_unique=100):
    idx = l.fields().lookupField(field)
    values = l.uniqueValues(idx)

    if len(values) > max_unique:
        return None
    else:
        return values


def _get_min_max_tuple(values, min_min, max_max, nodata):
    values[values < nodata] = np.nan
    mn = np.nanmin(values)

    if mn < min_min:
        return None
    mx = np.nanmax(values)

    if mx > max_max:
        return None

    return (mn, mx)


def get_vector_stats(l, attribute, min_min=0, max_max=1000, nodata=0):
    values = np.asarray(
        [feat.attribute(attribute) for feat in l.getFeatures()], dtype=np.float32
    )

    return _get_min_max_tuple(values, min_min, max_max, nodata)


def get_raster_stats(f, band_num, sample=True, min_min=0, max_max=1000, nodata=0):
    # Note that anything less than nodata value is considered no data

    if sample:
        # Note need float to correctly mark and ignore nodata for for nanmin
        # and nanmax
        values = layers.get_sample(f, band_num, n=1e6).astype("float32")

        return _get_min_max_tuple(values, min_min, max_max, nodata)
    else:
        src_ds = gdal.Open(f)
        b = src_ds.GetRasterBand(band_num)

        block_sizes = b.GetBlockSize()
        x_block_size = block_sizes[0]
        y_block_size = block_sizes[1]
        xsize = b.XSize
        ysize = b.YSize

        stats = (None, None)

        for y in range(0, ysize, y_block_size):
            if y + y_block_size < ysize:
                rows = y_block_size
            else:
                rows = ysize - y

            for x in range(0, xsize, x_block_size):
                if x + x_block_size < xsize:
                    cols = x_block_size
                else:
                    cols = xsize - x

                mn, mx = _get_min_max_tuple(values, min_min, max_max, nodata)

                if not mn or not mx:
                    return None
                else:
                    if not stats[0] or mn < stats[0]:
                        stats[0] = mn

                    if not stats[1] or mx > stats[1]:
                        stats[1] = mx

        return stats


def get_unique_values_raster(f, band_num, sample=True, max_unique=60):
    if sample:
        values = np.unique(layers.get_sample(f, band_num, n=1e6)).tolist()

        if len(values) > max_unique:
            values = None

        return values
    else:
        src_ds = gdal.Open(f)
        b = src_ds.GetRasterBand(band_num)

        block_sizes = b.GetBlockSize()
        x_block_size = block_sizes[0]
        y_block_size = block_sizes[1]
        xsize = b.XSize
        ysize = b.YSize

        for y in range(0, ysize, y_block_size):
            if y + y_block_size < ysize:
                rows = y_block_size
            else:
                rows = ysize - y

            for x in range(0, xsize, x_block_size):
                if x + x_block_size < xsize:
                    cols = x_block_size
                else:
                    cols = xsize - x

                if x == 0 and y == 0:
                    v = np.unique(b.ReadAsArray(x, y, cols, rows).ravel())
                else:
                    v = np.unique(
                        np.concatenate((v, b.ReadAsArray(x, y, cols, rows).ravel()))
                    )

                if v.size > max_unique:
                    return None

        return v.tolist()


class DlgJobsDetails(QtWidgets.QDialog, Ui_DlgJobsDetails):
    def __init__(self, parent=None):
        """Constructor."""
        super().__init__(parent)

        self.setupUi(self)
        self.task_status.hide()
        self.statusLabel.hide()


class DlgDataIOLoadTE(QtWidgets.QDialog, Ui_DlgDataIOLoadTE):
    file_browse_btn: QtWidgets.QPushButton
    file_lineedit: QtWidgets.QLineEdit
    parsed_name_la: QtWidgets.QLabel
    parsed_name_le: QtWidgets.QLineEdit
    parsed_result_la: QtWidgets.QLabel
    parsed_result_path_le: QtWidgets.QLineEdit

    buttonBox: QtWidgets.QDialogButtonBox

    job: typing.Optional[Job]

    def __init__(self, parent=None):
        super().__init__(parent)
        self.setupUi(self)
        self.reset_widgets()
        self.job = None
        self.file_browse_btn.clicked.connect(self.parse_job_file)
        self.buttonBox.accepted.connect(self.ok_clicked)
        self.buttonBox.rejected.connect(self.reject)
        self.buttonBox.button(self.buttonBox.Ok).setEnabled(False)

    def reset_widgets(self):
        self.parsed_name_la.setEnabled(False)
        self.parsed_name_le.clear()
        self.parsed_name_le.setEnabled(False)
        self.parsed_result_la.setEnabled(False)
        self.parsed_result_path_le.clear()
        self.parsed_result_path_le.setEnabled(False)

    def show_job_info(self):
        self.parsed_name_la.setEnabled(True)
        self.parsed_name_le.setText(self.job.get_basename())
        self.parsed_name_le.setEnabled(True)
        self.parsed_result_la.setEnabled(True)
        try:
            local_path = str(self.job.results.uri.uri)
        except IndexError:
            local_path = ""
        self.parsed_result_path_le.setText(local_path)
        self.parsed_result_path_le.setEnabled(True)

    def parse_job_file(self):
        self.reset_widgets()
        self.job = None
        self.buttonBox.button(self.buttonBox.Ok).setEnabled(False)
        file_dialog = QtWidgets.QFileDialog(self)
        file_dialog.setFileMode(QtWidgets.QFileDialog.ExistingFile)
        file_dialog.setNameFilter("*.json")
        file_dialog.setDirectory(conf.settings_manager.get_value(conf.Setting.BASE_DIR))

        if file_dialog.exec_():
            chosen_raw_path = file_dialog.selectedFiles()[0]
            job, error_message = self.parse_chosen_path(chosen_raw_path)

            if job is not None:
                self.file_lineedit.setText(chosen_raw_path)
                self.job = job
                self.show_job_info()
                self.buttonBox.button(self.buttonBox.Ok).setEnabled(True)
            else:
                self.file_lineedit.clear()
                QtWidgets.QMessageBox.critical(
                    self, tr_data_io.tr("Could not load file"), error_message
                )

    def parse_chosen_path(
        self, raw_path: str
    ) -> typing.Tuple[typing.Optional[Job], str]:
        path = Path(raw_path)
        job = None
        error_message = ""

        if path.is_file():
            try:
                raw_job = json.loads(path.read_text())
                job = Job.Schema().load(raw_job)
                update_uris_if_needed(job, path)
                set_results_extents(job)
            except (json.JSONDecodeError, KeyError):
                error_message = tr_data_io.tr(
                    "Could not parse the selected file into a valid JSON"
                )

        return job, error_message

    def ok_clicked(self):
        log("Importing job...")
        job_manager.import_job(self.job, Path(self.file_lineedit.text()))
        self.accept()


class ImportSelectFileInputWidget(
    QtWidgets.QWidget, Ui_WidgetDataIOImportSelectFileInput
):
    inputFileChanged = QtCore.pyqtSignal(bool)
    inputTypeChanged = QtCore.pyqtSignal(bool)

    def __init__(self, parent=None):
        super().__init__(parent)
        self.setupUi(self)

        self.radio_raster_input.toggled.connect(self.radio_raster_input_toggled)

        self.btn_raster_dataset_browse.clicked.connect(self.open_raster_browse)
        self.btn_polygon_dataset_browse.clicked.connect(self.open_vector_browse)

        self.groupBox_output_resolution.clicked.connect(self.output_res_toggled)

        # Ensure the special value text (set to " ") is displayed by default
        self.spinBox_data_year.setSpecialValueText(" ")
        self.spinBox_data_year.setValue(self.spinBox_data_year.minimum())

    def radio_raster_input_toggled(self):
        has_file = False

        if self.radio_raster_input.isChecked():
            self.btn_raster_dataset_browse.setEnabled(True)
            self.lineEdit_raster_file.setEnabled(True)
            self.comboBox_bandnumber.setEnabled(True)
            self.label_bandnumber.setEnabled(True)
            self.btn_polygon_dataset_browse.setEnabled(False)
            self.lineEdit_vector_file.setEnabled(False)
            self.label_fieldname.setEnabled(False)
            self.comboBox_fieldname.setEnabled(False)
            self.groupBox_output_resolution.setChecked(False)

            if self.lineEdit_raster_file.text():
                has_file = True
        else:
            self.btn_raster_dataset_browse.setEnabled(False)
            self.lineEdit_raster_file.setEnabled(False)
            self.comboBox_bandnumber.setEnabled(False)
            self.label_bandnumber.setEnabled(False)
            self.btn_polygon_dataset_browse.setEnabled(True)
            self.lineEdit_vector_file.setEnabled(True)
            self.label_fieldname.setEnabled(True)
            self.comboBox_fieldname.setEnabled(True)
            self.groupBox_output_resolution.setChecked(True)

            if self.lineEdit_vector_file.text():
                has_file = True
        self.inputTypeChanged.emit(has_file)

    def output_res_toggled(self):
        # Ensure the groupBox_output_resolution remains checked if vector
        # output is chosen

        if self.radio_raster_input.isChecked():
            pass
        else:
            self.groupBox_output_resolution.setChecked(True)

    def open_raster_browse(self):
        if self.lineEdit_raster_file.text():
            initial_file = self.lineEdit_raster_file.text()
        else:
            initial_file = QSettings().value("LDMP/input_dir", None)
        raster_file, _ = QtWidgets.QFileDialog.getOpenFileName(
            self,
            tr_data_io.tr("Select a raster input file"),
            initial_file,
            tr_data_io.tr("Raster file (*.tif *.dat *.img *.vrt)"),
        )
        # Try loading this raster to verify the file works

        if raster_file:
            self.update_raster_layer(raster_file)

    def update_raster_layer(self, raster_file):
        l = qgis.core.QgsRasterLayer(raster_file, "raster file", "gdal")

        if not os.access(raster_file, os.R_OK or not l.isValid()):
            QtWidgets.QMessageBox.critical(
                None,
                tr_data_io.tr("Error"),
                tr_data_io.tr(
                    "Cannot read {}. Choose a different file.".format(raster_file)
                ),
            )
            self.inputFileChanged.emit(False)

            return False
        else:
            QSettings().setValue("LDMP/input_dir", os.path.dirname(raster_file))
            self.lineEdit_raster_file.setText(raster_file)
            self.comboBox_bandnumber.clear()
            self.comboBox_bandnumber.addItems(
                [str(n) for n in range(1, l.dataProvider().bandCount() + 1)]
            )

            self.inputFileChanged.emit(True)

            return True

    def open_vector_browse(self):
        if self.lineEdit_vector_file.text():
            initial_file = self.lineEdit_vector_file.text()
        else:
            initial_file = QSettings().value("LDMP/input_dir", None)
        vector_file, _ = QtWidgets.QFileDialog.getOpenFileName(
            self,
            tr_data_io.tr("Select a vector input file"),
            initial_file,
            tr_data_io.tr("Vector file (*.shp *.kml *.kmz *.geojson)"),
        )
        # Try loading this vector to verify the file works

        if vector_file:
            self.update_vector_layer(vector_file)

    def update_vector_layer(self, vector_file):
        l = qgis.core.QgsVectorLayer(vector_file, "vector file", "ogr")

        if not os.access(vector_file, os.R_OK) or not l.isValid():
            QtWidgets.QMessageBox.critical(
                None,
                tr_data_io.tr("Error"),
                tr_data_io.tr(
                    "Cannot read {}. Choose a different file.".format(vector_file)
                ),
            )
            self.inputFileChanged.emit(False)

            return False
        else:
            QSettings().setValue("LDMP/input_dir", os.path.dirname(vector_file))
            self.lineEdit_vector_file.setText(vector_file)
            self.comboBox_fieldname.clear()
            self.inputFileChanged.emit(True)
            self.comboBox_fieldname.addItems(
                [field.name() for field in l.dataProvider().fields()]
            )

            return True

    def get_vector_layer(self):
        return qgis.core.QgsVectorLayer(
            self.lineEdit_vector_file.text(), "vector file", "ogr"
        )


class ImportSelectRasterOutput(
    QtWidgets.QWidget, Ui_WidgetDataIOImportSelectRasterOutput
):
    def __init__(self, parent=None):
        super().__init__(parent)

        self.setupUi(self)

        self.btn_output_file_browse.clicked.connect(self.save_raster)

    def save_raster(self):
        if self.lineEdit_output_file.text():
            initial_file = self.lineEdit_output_file.text()
        else:
            initial_file = conf.settings_manager.get_value(conf.Setting.BASE_DIR)
        raw_output_path, _ = QtWidgets.QFileDialog.getSaveFileName(
            self,
            tr_data_io.tr("Choose a name for the output file"),
            initial_file,
            tr_data_io.tr("Raster file (*.tif)"),
        )

        if raw_output_path:
            output_path = Path(raw_output_path)
            output_path = output_path.parent / f"{output_path.stem}.tif"

            if os.access(os.path.dirname(str(output_path)), os.W_OK):
                self.lineEdit_output_file.setText(str(output_path))

                return True
            else:
                QtWidgets.QMessageBox.critical(
                    self,
                    tr_data_io.tr("Error"),
                    tr_data_io.tr(
                        "Cannot write to {}. Choose a different file.".format(
                            raw_output_path
                        )
                    ),
                )

                return False


class DlgDataIOImportBase(QtWidgets.QDialog):
    """Base class for individual data loading dialogs"""

    input_widget: ImportSelectFileInputWidget
    metadata: qgis.core.QgsLayerMetadata

    layer_loaded = QtCore.pyqtSignal(list)

    def __init__(self, parent=None):
        super().__init__(parent)
        self.setupUi(self)

        self.input_widget = ImportSelectFileInputWidget()
        self.verticalLayout.insertWidget(0, self.input_widget)

        # The datatype determines whether the dataset resampling is done with
        # nearest neighbor and mode or nearest neighbor and mean
        self.datatype = "categorical"
        self.metadata = None

        self.btnMetadata = QtWidgets.QPushButton(tr_data_io.tr("Metadata"))
        layout = self.btnBox.layout()
        layout.insertWidget(0, self.btnMetadata)
        self.btnMetadata.clicked.connect(self.open_metadata_editor)

    def validate_input(self, value):
        if self.input_widget.radio_raster_input.isChecked():
            if self.input_widget.lineEdit_raster_file.text() == "":
                QtWidgets.QMessageBox.critical(
                    None,
                    tr_data_io.tr("Error"),
                    tr_data_io.tr("Choose an input raster file."),
                )

                return
        else:
            in_file = self.input_widget.lineEdit_vector_file.text()

            if in_file == "":
                QtWidgets.QMessageBox.critical(
                    None,
                    tr_data_io.tr("Error"),
                    tr_data_io.tr("Choose an input polygon dataset."),
                )

                return
            l = self.input_widget.get_vector_layer()

            if (
                l.wkbType() == qgis.core.QgsWkbTypes.Polygon
                or l.wkbType() == qgis.core.QgsWkbTypes.MultiPolygon
            ):
                self.vector_datatype = "polygon"
            elif l.wkbType() == qgis.core.QgsWkbTypes.Point:
                self.vector_datatype = "point"
            else:
                QtWidgets.QMessageBox.critical(
                    None,
                    tr_data_io.tr("Error"),
                    tr_data_io.tr(
                        "Cannot process {}. Unknown geometry type:{}".format(
                            in_file, l.wkbType()
                        )
                    ),
                )
                log(
                    "Failed to process {} - unknown geometry type {}.".format(
                        in_file, l.wkbType()
                    )
                )

                return

        return True

    def get_resample_mode(self, f):
        in_res = self.get_in_res_wgs84()
        out_res = self.get_out_res_wgs84()

        if in_res < out_res:
            if self.datatype == "categorical":
                log(
                    "Resampling with mode (in res: {}, out_res: {}".format(
                        in_res, out_res
                    )
                )

                return gdal.GRA_Mode
            elif self.datatype == "continuous":
                log(
                    "Resampling with average (in res: {}, out_res: {}".format(
                        in_res, out_res
                    )
                )

                return gdal.GRA_Average
            else:
                raise ValueError("Unknown datatype")
        else:
            # If output resolution is finer than the original data, use nearest
            # neighbor
            log(
                "Resampling with nearest neighbor (in res: {}, out_res: {}".format(
                    in_res, out_res
                )
            )

            return gdal.GRA_NearestNeighbour

    def get_in_res_wgs84(self):
        ds_in = gdal.Open(self.input_widget.lineEdit_raster_file.text())
        wgs84_srs = osr.SpatialReference()
        wgs84_srs.ImportFromEPSG(4326)

        in_srs = osr.SpatialReference()
        in_srs.ImportFromWkt(ds_in.GetProjectionRef())

        tx = osr.CoordinateTransformation(in_srs, wgs84_srs)

        geo_t = ds_in.GetGeoTransform()
        x_size = ds_in.RasterXSize
        y_size = ds_in.RasterYSize
        # Work out the boundaries of the new dataset in the target projection
        (ulx, uly, ulz) = tx.TransformPoint(geo_t[0], geo_t[3])
        (lrx, lry, lrz) = tx.TransformPoint(
            geo_t[0] + geo_t[1] * x_size, geo_t[3] + geo_t[5] * y_size
        )
        log("ulx: {}, uly: {}, ulz: {}".format(ulx, uly, ulz))
        log("lrx: {}, lry: {}, lrz: {}".format(lrx, lry, lrz))
        # As an approximation of what the output res would be in WGS4, use an
        # average of the x and y res of this image

        return ((lrx - ulx) / float(x_size) + (lry - uly) / float(y_size)) / 2

    def get_out_res_wgs84(self):
        # Calculate res in degrees from input which is in meters
        res = int(self.input_widget.spinBox_resolution.value())

        return res / (111.325 * 1000)  # 111.325km in one degree

    def remap_vector(self, l, out_file, remap_dict, attribute):
        out_res = self.get_out_res_wgs84()
        log(
            'Remapping and rasterizing {} using output resolution {}, and field "{}"'.format(
                out_file, out_res, attribute
            )
        )
        log('Remap dict "{}"'.format(remap_dict))
        remap_vector_worker = worker.StartWorker(
            RemapVectorWorker,
            "rasterizing and remapping values",
            l,
            out_file,
            attribute,
            remap_dict,
            self.vector_datatype,
            out_res,
        )

        if not remap_vector_worker.success:
            QtWidgets.QMessageBox.critical(
                None, tr_data_io.tr("Error"), tr_data_io.tr("Vector remapping failed.")
            )

            return False
        else:
            return True

    def remap_raster(self, in_file, out_file, remap_list):
        # First warp the raster to the correct CRS
        temp_tif = GetTempFilename(".tif")
        warp_ret = self.warp_raster(temp_tif)

        if not warp_ret:
            return False

        remap_raster_worker = worker.StartWorker(
            RemapRasterWorker, "remapping values", temp_tif, out_file, remap_list
        )
        os.remove(temp_tif)

        if not remap_raster_worker.success:
            QtWidgets.QMessageBox.critical(
                None, tr_data_io.tr("Error"), tr_data_io.tr("Raster remapping failed.")
            )

            return False
        else:
            return True

    def rasterize_vector(self, in_file, out_file, attribute):
        out_res = self.get_out_res_wgs84()
        log(
            f"Rasterizing {out_file} using output resolution {out_res}, "
            f'and field "{attribute}"'
        )
        rasterize_worker = worker.StartWorker(
            RasterizeWorker,
            "rasterizing vector file",
            in_file,
            out_file,
            out_res,
            attribute,
        )

        if not rasterize_worker.success:
            QtWidgets.QMessageBox.critical(
                None, tr_data_io.tr("Error"), tr_data_io.tr("Rasterizing failed.")
            )

            return False
        else:
            return True

    def warp_raster(self, out_file):
        # Select a single output band
        in_file = self.input_widget.lineEdit_raster_file.text()
        band_number = int(self.input_widget.comboBox_bandnumber.currentText())
        temp_vrt = GetTempFilename(".vrt")
        gdal.BuildVRT(temp_vrt, in_file, bandList=[band_number])

        log("Importing {} to {}".format(in_file, out_file))

        if self.input_widget.groupBox_output_resolution.isChecked():
            out_res = self.get_out_res_wgs84()
            resample_mode = self.get_resample_mode(temp_vrt)
        else:
            out_res = None
            resample_mode = gdal.GRA_NearestNeighbour
        raster_import_worker = worker.StartWorker(
            RasterImportWorker,
            "importing raster",
            temp_vrt,
            out_file,
            out_res,
            resample_mode,
        )
        os.remove(temp_vrt)

        if not raster_import_worker.success:
            QtWidgets.QMessageBox.critical(
                None, tr_data_io.tr("Error"), tr_data_io.tr("Raster import failed.")
            )

            return False
        else:
            return True

    def open_metadata_editor(self):
        dlg = metadata_dialog.DlgDatasetMetadata(self)
        dlg.exec_()
        self.metadata = dlg.get_metadata()

    def save_metadata(self, job):
        metadata.init_dataset_metadata(job, self.metadata)


class DlgDataIOImportSOC(DlgDataIOImportBase, Ui_DlgDataIOImportSOC):
    def __init__(self, parent=None):
        super().__init__(parent)

        # This needs to be inserted after the input widget but before the
        # button box with ok/cancel
        self.output_widget = ImportSelectRasterOutput()
        self.verticalLayout.insertWidget(1, self.output_widget)
        self.datatype = "continuous"

    def done(self, value):
        if value == QtWidgets.QDialog.Accepted:
            self.validate_input(value)
        else:
            super().done(value)

    def validate_input(self, value):
        if self.output_widget.lineEdit_output_file.text() == "":
            QtWidgets.QMessageBox.critical(
                None, tr_data_io.tr("Error"), tr_data_io.tr("Choose an output file.")
            )

            return

        if (
            self.input_widget.spinBox_data_year.text()
            == self.input_widget.spinBox_data_year.specialValueText()
        ):
            QtWidgets.QMessageBox.critical(
                None,
                tr_data_io.tr("Error"),
                tr_data_io.tr("Enter the year of the input data."),
            )

            return

        ret = super().validate_input(value)

        if not ret:
            return

        if self.input_widget.radio_raster_input.isChecked():
            in_file = self.input_widget.lineEdit_raster_file.text()
            stats = get_raster_stats(
                in_file, int(self.input_widget.comboBox_bandnumber.currentText())
            )
        else:
            in_file = self.input_widget.lineEdit_vector_file.text()
            l = self.input_widget.get_vector_layer()
            field = self.input_widget.comboBox_fieldname.currentText()
            idx = l.fields().lookupField(field)

            if not l.fields().field(idx).isNumeric():
                QtWidgets.QMessageBox.critical(
                    None,
                    tr_data_io.tr("Error"),
                    tr_data_io.tr(
                        "The chosen field ({}) is not numeric. Choose a numeric field.".format(
                            field
                        )
                    ),
                )

                return
            else:
                stats = get_vector_stats(self.input_widget.get_vector_layer(), field)
        log("Stats are: {}".format(stats))

        if not stats:
            QtWidgets.QMessageBox.critical(
                None,
                tr_data_io.tr("Error"),
                tr_data_io.tr(
                    "The input file ({}) does not appear to be a valid soil organic "
                    "carbon input file. The file should contain values of soil "
                    "organic carbon in tonnes / hectare.".format(in_file)
                ),
            )

            return

        if stats[0] < 0:
            QtWidgets.QMessageBox.critical(
                None,
                tr_data_io.tr("Error"),
                tr_data_io.tr(
                    "The input file ({}) does not appear to be a valid soil organic "
                    "carbon input file. The minimum value in this file is {}. The no "
                    "data value should be -32768, and all other values should be >= 0.".format(
                        in_file, stats[0]
                    )
                ),
            )

            return

        if stats[1] > 1000:
            QtWidgets.QMessageBox.critical(
                None,
                tr_data_io.tr("Error"),
                tr_data_io.tr(
                    "The input file ({}) does not appear to be a valid soil organic "
                    "carbon input file. The maximum value in this file is {}. "
                    "The maximum value allowed is 1000 tonnes / hectare.".format(
                        in_file, stats[1]
                    )
                ),
            )

            return

        super().done(value)

        self.ok_clicked()

    def ok_clicked(self):
        out_file = self.output_widget.lineEdit_output_file.text()

        if self.input_widget.radio_raster_input.isChecked():
            ret = self.warp_raster(out_file)
        else:
            in_file = self.input_widget.lineEdit_vector_file.text()
            attribute = self.input_widget.comboBox_fieldname.currentText()
            ret = self.rasterize_vector(in_file, out_file, attribute)

        if not ret:
            return False

        job = job_manager.create_job_from_dataset(
            dataset_path=Path(out_file),
            band_name="Soil organic carbon",
            band_metadata={
                "year": int(self.input_widget.spinBox_data_year.text()),
                "source": "custom data",
            },
            task_name=tr_data_io.tr(
                "Soil organic carbon "
                f"({int(self.input_widget.spinBox_data_year.text())}, imported)"
            ),
        )
        job_manager.import_job(job, Path(out_file))

        super().save_metadata(job)


class DlgDataIOImportProd(DlgDataIOImportBase, Ui_DlgDataIOImportProd):
    output_widget: ImportSelectRasterOutput

    def __init__(self, parent=None):
        super().__init__(parent)

        # This needs to be inserted after the input widget but before the
        # button box with ok/cancel
        self.output_widget = ImportSelectRasterOutput()
        self.verticalLayout.insertWidget(1, self.output_widget)

        self.input_widget.groupBox_year.hide()

    def done(self, value):
        if value == QtWidgets.QDialog.Accepted:
            self.validate_input(value)
        else:
            super().done(value)

    def validate_input(self, value):
        if self.output_widget.lineEdit_output_file.text() == "":
            QtWidgets.QMessageBox.critical(
                None, tr_data_io.tr("Error"), tr_data_io.tr("Choose an output file.")
            )

            return

        ret = super().validate_input(value)

        if not ret:
            return

        if self.input_widget.radio_raster_input.isChecked():
            in_file = self.input_widget.lineEdit_raster_file.text()
            values = get_unique_values_raster(
                in_file,
                int(self.input_widget.comboBox_bandnumber.currentText()),
                max_unique=7,
            )
        else:
            in_file = self.input_widget.lineEdit_vector_file.text()
            l = self.input_widget.get_vector_layer()
            field = self.input_widget.comboBox_fieldname.currentText()
            idx = l.fields().lookupField(field)

            if not l.fields().field(idx).isNumeric():
                QtWidgets.QMessageBox.critical(
                    None,
                    tr_data_io.tr("Error"),
                    tr_data_io.tr(
                        "The chosen field ({}) is not numeric. Choose a field that "
                        "contains numbers.".format(field)
                    ),
                )

                return
            else:
                values = get_unique_values_vector(l, field, max_unique=7)

        if not values:
            QtWidgets.QMessageBox.critical(
                None,
                tr_data_io.tr("Error"),
                tr_data_io.tr(
                    "The input file ({}) does not appear to be a valid productivity "
                    "input file.".format(in_file)
                ),
            )

            return
        invalid_values = [v for v in values if v not in [-32768, 0, 1, 2, 3, 4, 5]]

        if len(invalid_values) > 0:
            QtWidgets.QMessageBox.warning(
                None,
                tr_data_io.tr("Warning"),
                tr_data_io.tr(
                    "The input file ({}) does not appear to be a valid productivity "
                    "input file. Trends.Earth will load the file anyway, but review "
                    "the map once it has loaded to ensure the values make sense. The "
                    "only values allowed in a productivity input file are -32768, 1, "
                    "2, 3, 4 and 5. There are {} value(s) in the input file "
                    "that were not recognized.".format(in_file, len(invalid_values))
                ),
            )

        super().done(value)

        self.ok_clicked()

    def ok_clicked(self):
        out_file = self.output_widget.lineEdit_output_file.text()

        if self.input_widget.radio_raster_input.isChecked():
            ret = self.warp_raster(out_file)
        else:
            in_file = self.input_widget.lineEdit_vector_file.text()
            attribute = self.input_widget.comboBox_fieldname.currentText()
            ret = self.rasterize_vector(in_file, out_file, attribute)

        if not ret:
            return False

        job = job_manager.create_job_from_dataset(
            Path(out_file),
            "Land Productivity Dynamics (LPD)",
            {"source": "custom data"},
        )
        job_manager.import_job(job, Path(out_file))

        super().save_metadata(job)


def _get_layers(node):
    l = []

    if isinstance(node, qgis.core.QgsLayerTreeGroup):
        for child in node.children():
            if isinstance(child, qgis.core.QgsLayerTreeLayer):
                l.append(child.layer())
            else:
                l.extend(_get_layers(child))
    else:
        l = node

    return l


@functools.lru_cache(
    maxsize=None
)  # not using functools.cache, as it was only introduced in Python 3.9
def _get_usable_bands(
    band_name: typing.Optional[str] = "any",
    selected_job_id: uuid.UUID = None,
    filter_field: str = None,
    filter_value: str = None,
    aoi=None,
) -> typing.List[Band]:
    result = []

    for job in job_manager.relevant_jobs:
        job: Job
        is_available = job.status in (JobStatus.DOWNLOADED, JobStatus.GENERATED_LOCALLY)
        is_of_interest = (selected_job_id is None) or (job.id == selected_job_id)
        is_valid_type = job.results and (
            ResultType(job.results.type) == ResultType.RASTER_RESULTS
        )

        if is_available and is_of_interest and is_valid_type:
            for band_index, band_info in enumerate(job.results.get_bands(), start=1):

                if job.results.uri is not None and (
                    band_info.name == band_name or band_name == "any"
                ):
                    if aoi is not None:
                        if not _check_dataset_overlap_raster(aoi, job.results):
                            continue
                    if (
                        filter_field is None
                        or filter_value is None
                        or band_info.metadata[filter_field] == filter_value
                    ):
                        result.append(
                            Band(
                                job=job,
                                path=job.results.uri.uri,
                                band_index=band_index,
                                band_info=band_info,
                            )
                        )
    result.sort(key=lambda ub: ub.job.start_date, reverse=True)

    return result


class WidgetDataIOSelectTELayerBase(QtWidgets.QWidget):
    comboBox_layers: QtWidgets.QComboBox
    layer_list: typing.Optional[typing.List[Band]]

    def __init__(self, parent=None):
        super().__init__(parent)
        self.setupUi(self)

        self.layer_list = None

        self.NO_LAYERS_MESSAGE = tr_data_io.tr("No layers available in this region")

    def populate(self, selected_job_id=None):
        aoi = areaofinterest.prepare_area_of_interest()
        layer_types = self.property("layer_type").split(";")
        usable_bands = []
        for layer_type in layer_types:
            usable_bands.extend(
                _get_usable_bands(
                    band_name=layer_type,
                    selected_job_id=selected_job_id,
                    filter_field=self.property("layer_filter_field"),
                    filter_value=self.property("layer_filter_value"),
                    aoi=aoi,
                )
            )
        self.layer_list = usable_bands
        old_text = self.currentText()
        self.comboBox_layers.clear()

        if len(usable_bands) == 0:
            self.comboBox_layers.addItem(self.NO_LAYERS_MESSAGE)
        else:
            for i, usable_band in enumerate(usable_bands):
                self.comboBox_layers.addItem(usable_band.get_name_info())
                self.comboBox_layers.setItemData(
                    i, usable_band.get_hover_info(), QtCore.Qt.ToolTipRole
                )
        if not self.set_index_from_text(old_text):
            self.comboBox_layers.setCurrentIndex(0)

    def get_current_extent(self):
        band = self.get_current_band()

        return qgis.core.QgsRasterLayer(str(band.path), "raster file", "gdal").extent()

    def get_current_data_file(self) -> Path:
        return self.get_current_band().path

    def get_layer(self) -> qgis.core.QgsRasterLayer:
        return qgis.core.QgsRasterLayer(
            str(self.get_current_data_file()), "raster file", "gdal"
        )

    def get_current_band(self) -> Band:
        return self.layer_list[self.comboBox_layers.currentIndex()]

    def set_index_from_job_id(self, job_id):
        if self.layer_list:
            for i in range(len(self.layer_list)):
                if self.layer_list[i].job.id == job_id:
                    self.comboBox_layers.setCurrentIndex(i)

                    return True

        return False

    def set_index_from_text(self, text):
        if self.layer_list:
            for i, layer in enumerate(self.layer_list):
                if text == layer:
                    self.comboBox_layers.setCurrentIndex(i)
                    return True

        return False

    def get_vrt(self):
        f = GetTempFilename(".vrt")
        band = self.get_current_band()
        gdal.BuildVRT(f, str(band.path), bandList=[band.band_index])

        return f

    def currentText(self):
        return self.comboBox_layers.currentText()


class WidgetDataIOSelectTELayerExisting(
    WidgetDataIOSelectTELayerBase, Ui_WidgetDataIOSelectTELayerExisting
):
    def __init__(self, parent=None):
        super().__init__(parent)


class WidgetDataIOSelectTELayerImport(
    WidgetDataIOSelectTELayerBase, Ui_WidgetDataIOSelectTELayerImport
):
    pass


@functools.lru_cache(
    maxsize=None
)  # not using functools.cache, as it was only introduced in Python 3.9
def _extent_as_geom(extent: typing.Tuple[float, float, float, float]):
    return qgis.core.QgsGeometry.fromRect(qgis.core.QgsRectangle(*extent))


def _check_band_overlap(aoi, raster):
    if raster.type == RasterType.ONE_FILE_RASTER:
        if aoi.calc_frac_overlap(_extent_as_geom(raster.extent)) >= 0.99:
            return True
    elif raster.type == RasterType.TILED_RASTER:
        frac = 0
        for extent in raster.extents:
            frac += aoi.calc_frac_overlap(_extent_as_geom(extent))
        if frac >= 0.99:
            return True
        else:
            return False


def _check_dataset_overlap_raster(aoi, raster_results):
    frac = 0
    for extent in raster_results.get_extents():
        this_frac = aoi.calc_frac_overlap(_extent_as_geom(extent))
        frac += this_frac
    if frac >= 0.99:
        return True
    else:
        return False


def _check_dataset_overlap_vector(aoi, vector_results):
    "Checks to see if the vector results are NOT disjoint with the aoi"
    extent = vector_results.extent
    log(f"vector extent is {extent}")
    if extent is not None:
        log(f"vector calc_disjoint is {aoi.calc_disjoint(_extent_as_geom(extent))}")
        return not aoi.calc_disjoint(_extent_as_geom(extent))
    else:
        return False


@functools.lru_cache(
    maxsize=None
)  # not using functools.cache, as it was only introduced in Python 3.9
def get_usable_datasets(
    dataset_name: typing.Optional[str] = "any", aoi=None
) -> typing.List[Dataset]:
    result = []

    for job in job_manager.relevant_jobs:
        job: Job
        is_available = job.status in (JobStatus.DOWNLOADED, JobStatus.GENERATED_LOCALLY)
        try:
            is_valid_type = ResultType(job.results.type) in [
                ResultType.RASTER_RESULTS,
                ResultType.VECTOR_RESULTS,
            ]
        except AttributeError:
            # Catch case of an invalid type

            continue

        if is_available and is_valid_type:
            if (
                ResultType(job.results.type) == ResultType.RASTER_RESULTS
                and (aoi is None or _check_dataset_overlap_raster(aoi, job.results))
                and job.script.name == dataset_name
                and job.results.uri is not None
            ):
                result.append(
                    Dataset(
                        job=job,
                        path=job.results.uri.uri,
                    )
                )
            elif (
                ResultType(job.results.type) == ResultType.VECTOR_RESULTS
                and (aoi is None or _check_dataset_overlap_vector(aoi, job.results))
                and job.results.vector.type.value == dataset_name
                and job.results.vector.uri is not None
            ):
                result.append(Dataset(job=job, path=job.results.vector.uri.uri))
    result.sort(key=lambda ub: ub.job.start_date, reverse=True)

    return result


class DlgDataIOAddLayersToMap(QtWidgets.QDialog, Ui_DlgDataIOAddLayersToMap):
    layers_view: QtWidgets.QListView
    layers_model: QtCore.QStringListModel

    def __init__(self, parent, job):
        super().__init__(parent)
        self.setupUi(self)

        self.layers_model = QtCore.QStringListModel()
        self.layers_view.setModel(self.layers_model)
        self.layers_model.setStringList([])

        self.buttonBox.accepted.connect(self.ok_clicked)
        self.buttonBox.rejected.connect(self.reject)

        self.job = job

        self.layers_model.setStringList([])

        self.update_band_list()

    def ok_clicked(self):
        band_numbers = []

        for i in self.layers_view.selectionModel().selectedRows():
            band_numbers.append(i.row() + 1)  # band numbers start at 1

        if len(band_numbers) > 0:
            job_manager.display_selected_job_results(self.job, band_numbers)
            self.close()

            # QtWidgets.QMessageBox.critical(
            #     None,
            #     tr_data_io.tr("Error"),
            #     tr_data_io.tr(f'Unable to automatically add "{band.name}". '
            #             'No style is defined for this type of layer.')
            # )
        else:
            QtWidgets.QMessageBox.critical(
                None, tr_data_io.tr("Error"), tr_data_io.tr("Select a layer to load.")
            )

    def update_band_list(self):
        self.layer_list = self.job.results.get_bands()

        band_strings = [
            f"Band {n}: {layers.get_band_title(JobBand.Schema().dump(band))}"
            for n, band in enumerate(self.layer_list, start=1)
        ]
        self.layers_model.setStringList(band_strings)
        self.layers_view.setEditTriggers(QtWidgets.QAbstractItemView.NoEditTriggers)

        for n in range(len(self.layer_list)):
            if self.layer_list[n].add_to_map:
                self.layers_view.selectionModel().select(
                    self.layers_model.createIndex(n, 0),
                    QtCore.QItemSelectionModel.Select,
                )


class WidgetDataIOSelectTEDatasetExisting(
    QtWidgets.QWidget, Ui_WidgetDataIOSelectTEDatasetExisting
):
    comboBox_datasets: QtWidgets.QComboBox
    dataset_list: typing.Optional[typing.List[Dataset]]
    job_selected = QtCore.pyqtSignal(uuid.UUID)

    def __init__(self, parent=None):
        super().__init__(parent)
        self.setupUi(self)

        self.dataset_list = None

        self.comboBox_datasets.currentIndexChanged.connect(self.selected_job_changed)

        self.NO_DATASETS_MESSAGE = tr_data_io.tr("No datasets available in this region")

    def populate(self):
        aoi = areaofinterest.prepare_area_of_interest()
        usable_datasets = get_usable_datasets(self.property("dataset_type"), aoi=aoi)
        self.dataset_list = usable_datasets
        # Ensure selected_job_changed is called only once when adding items to
        # combobox
        self.comboBox_datasets.currentIndexChanged.disconnect(self.selected_job_changed)
        old_text = self.currentText()
        self.comboBox_datasets.clear()

        if len(usable_datasets) == 0:
            self.comboBox_datasets.addItem(self.NO_DATASETS_MESSAGE)
        else:
            for i, usable_dataset in enumerate(usable_datasets):
                self.comboBox_datasets.addItem(usable_dataset.get_name_info())
                self.comboBox_datasets.setItemData(
                    i, usable_dataset.get_hover_info(), QtCore.Qt.ToolTipRole
                )

        if not self.set_index_from_text(old_text):
            self.comboBox_datasets.setCurrentIndex(0)
        self.selected_job_changed()
        # Reconnect function to fire on selected dataset change
        self.comboBox_datasets.currentIndexChanged.connect(self.selected_job_changed)

    def get_current_data_file(self) -> Path:
        return self.get_current_dataset().path

    def currentText(self):
        return self.comboBox_datasets.currentText()

    def get_current_dataset(self):
        current_dataset = self.dataset_list[self.comboBox_datasets.currentIndex()]
        if current_dataset != self.NO_DATASETS_MESSAGE:
            return current_dataset
        else:
            return None

    def get_current_extent(self):
        job = self.get_current_job()
        if job:
            if ResultType(job.results.type) == ResultType.RASTER_RESULTS:
                band = self.get_bands("any")[0]
                return qgis.core.QgsRasterLayer(
                    str(band.path), "raster file", "gdal"
                ).extent()
            elif ResultType(job.results.type) == ResultType.VECTOR_RESULTS:
                rect = qgis.core.QgsVectorLayer(
                    str(self.get_current_data_file()), "vector file", "ogr"
                ).extent()
                return (
                    rect.xMinimum(),
                    rect.yMinimum(),
                    rect.yMaximum(),
                    rect.yMaximum(),
                )

    def get_bands(self, band_name) -> Band:
        aoi = areaofinterest.prepare_area_of_interest()
        return _get_usable_bands(band_name, self.get_current_dataset().job.id, aoi=aoi)

    def set_index_from_text(self, text):
        if self.dataset_list:
            for i in range(len(self.dataset_list)):
                if self.dataset_list[i] == text:
                    self.comboBox_datasets.setCurrentIndex(i)

                    return True

        return False

    def get_current_job(self):
        current_dataset = self.get_current_dataset()
        if current_dataset:
            return current_dataset.job
        else:
            return None

    def selected_job_changed(self):
        if len(self.dataset_list) >= 1:
            current_job = self.get_current_job()
            if current_job:
                job_id = current_job.id
            else:
                job_id = None
            self.job_selected.emit(job_id)
