"""
***************************************************************************
    GdalAlgorithm.py
    ---------------------
    Date                 : August 2012
    Copyright            : (C) 2012 by Victor Olaya
    Email                : volayaf at gmail dot com
***************************************************************************
*                                                                         *
*   This program is free software; you can redistribute it and/or modify  *
*   it under the terms of the GNU General Public License as published by  *
*   the Free Software Foundation; either version 2 of the License, or     *
*   (at your option) any later version.                                   *
*                                                                         *
***************************************************************************
"""

__author__ = "Victor Olaya"
__date__ = "August 2012"
__copyright__ = "(C) 2012, Victor Olaya"

import os
import re
from typing import Dict

from qgis.PyQt.QtCore import QUrl, QCoreApplication

from qgis.core import (
    QgsApplication,
    QgsVectorFileWriter,
    QgsProcessingFeatureSourceDefinition,
    QgsProcessingAlgorithm,
    QgsProcessingContext,
    QgsProcessingFeedback,
    QgsProviderRegistry,
    QgsDataSourceUri,
)

from processing.algs.gdal.GdalAlgorithmDialog import GdalAlgorithmDialog
from processing.algs.gdal.GdalUtils import GdalUtils, GdalConnectionDetails

pluginPath = os.path.normpath(
    os.path.join(os.path.split(os.path.dirname(__file__))[0], os.pardir)
)


class GdalAlgorithm(QgsProcessingAlgorithm):

    def __init__(self):
        super().__init__()
        self.output_values = {}

    def icon(self):
        return QgsApplication.getThemeIcon("/providerGdal.svg")

    def tags(self):
        return ["ogr", "gdal", self.commandName()]

    def svgIconPath(self):
        return QgsApplication.iconPath("providerGdal.svg")

    def createInstance(self, config={}):
        return self.__class__()

    def createCustomParametersWidget(self, parent):
        return GdalAlgorithmDialog(self, parent=parent)

    def getConsoleCommands(self, parameters, context, feedback, executing=True):
        return None

    def getOgrCompatibleSource(
        self,
        parameter_name: str,
        parameters: dict,
        context: QgsProcessingContext,
        feedback: QgsProcessingFeedback,
        executing: bool,
    ) -> GdalConnectionDetails:
        """
        Interprets a parameter as a GDAL connection details
        """
        if (
            not executing
            and parameter_name in parameters
            and isinstance(
                parameters[parameter_name], QgsProcessingFeatureSourceDefinition
            )
        ):
            # if not executing, then we throw away all 'selected features only' settings
            # since these have no meaning for command line gdal use, and we don't want to force
            # an export of selected features only to a temporary file just to show the command!
            parameters = {parameter_name: parameters[parameter_name].source}

        input_layer = self.parameterAsVectorLayer(parameters, parameter_name, context)
        if input_layer is None or input_layer.providerType() in ("memory", "grass"):
            if executing:
                # parameter is not a vector layer - try to convert to a source compatible with OGR
                # and extract selection if required
                ogr_data_path = self.parameterAsCompatibleSourceLayerPath(
                    parameters,
                    parameter_name,
                    context,
                    QgsVectorFileWriter.supportedFormatExtensions(),
                    QgsVectorFileWriter.supportedFormatExtensions()[0],
                    feedback=feedback,
                )

                return GdalConnectionDetails(
                    connection_string=ogr_data_path,
                    layer_name=GdalUtils.ogrLayerName(ogr_data_path),
                )
            else:
                # not executing - don't waste time converting incompatible sources, just return dummy strings
                # for the command preview (since the source isn't compatible with OGR, it has no meaning anyway and can't
                # be run directly in the command line)
                return GdalConnectionDetails(
                    connection_string="path_to_data_file", layer_name="layer_name"
                )
        elif input_layer.providerType() == "ogr":
            if (
                executing
                and (
                    isinstance(
                        parameters[parameter_name], QgsProcessingFeatureSourceDefinition
                    )
                    and parameters[parameter_name].selectedFeaturesOnly
                )
                or input_layer.subsetString()
            ):
                # parameter is a vector layer, with OGR data provider
                # so extract selection if required
                ogr_data_path = self.parameterAsCompatibleSourceLayerPath(
                    parameters,
                    parameter_name,
                    context,
                    QgsVectorFileWriter.supportedFormatExtensions(),
                    feedback=feedback,
                )
                parts = QgsProviderRegistry.instance().decodeUri("ogr", ogr_data_path)
                ogr_data_path = parts["path"]
                if "layerName" in parts and parts["layerName"]:
                    ogr_layer_name = parts["layerName"]
                else:
                    ogr_layer_name = GdalUtils.ogrLayerName(ogr_data_path)
                return GdalConnectionDetails(
                    connection_string=ogr_data_path,
                    layer_name=ogr_layer_name,
                    open_options=parts.get("openOptions", None),
                    credential_options=parts.get("credentialOptions", None),
                )
            else:
                # either not using the selection, or
                # not executing - don't worry about 'selected features only' handling. It has no meaning
                # for the command line preview since it has no meaning outside of a QGIS session!
                connection_details = GdalUtils.gdal_connection_details_from_layer(
                    input_layer
                )
                connection_details.layer_name = GdalUtils.ogrLayerName(
                    input_layer.source()
                )
                return connection_details
        elif input_layer.providerType().lower() == "wfs":
            uri = QgsDataSourceUri(input_layer.source())
            baseUrl = uri.param("url").split("?")[0]
            return GdalConnectionDetails(
                connection_string=f"WFS:{baseUrl}", layer_name=uri.param("typename")
            )

        # vector layer, but not OGR - get OGR compatible path
        # TODO - handle "selected features only" mode!!
        connection_details = GdalUtils.gdal_connection_details_from_layer(input_layer)
        connection_details.layer_name = GdalUtils.ogrLayerName(input_layer.source())
        return connection_details

    def setOutputValue(self, name, value):
        self.output_values[name] = value

    def processAlgorithm(self, parameters, context, feedback):
        commands = self.getConsoleCommands(
            parameters, context, feedback, executing=True
        )
        GdalUtils.runGdal(commands, feedback)

        # auto generate outputs
        results = {}
        for o in self.outputDefinitions():
            if o.name() in parameters:
                results[o.name()] = parameters[o.name()]
        for k, v in self.output_values.items():
            results[k] = v

        return results

    def commandName(self):
        parameters = {param.name(): "1" for param in self.parameterDefinitions()}
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        name = self.getConsoleCommands(parameters, context, feedback, executing=False)[
            0
        ]
        if name.endswith(".py"):
            name = name[:-3]
        return name

    def tr(self, string, context=""):
        if context == "":
            context = self.__class__.__name__
        return QCoreApplication.translate(context, string)