# -*- coding: utf-8 -*-

"""
***************************************************************************
    AlgorithmExecutor.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'

# This will get replaced with a git SHA1 when you do a git archive

__revision__ = '8a899c8758b30adc3f8d6df682a5702dd3bfe6f0'

import sys
from qgis.PyQt.QtCore import QCoreApplication
from qgis.core import (Qgis,
                       QgsFeatureSink,
                       QgsProcessingFeedback,
                       QgsProcessingUtils,
                       QgsMessageLog,
                       QgsProcessingException,
                       QgsProcessingParameters)
from processing.gui.Postprocessing import handleAlgorithmResults
from processing.tools import dataobjects


def execute(alg, parameters, context=None, feedback=None):
    """Executes a given algorithm, showing its progress in the
    progress object passed along.

    Return true if everything went OK, false if the algorithm
    could not be completed.
    """

    if feedback is None:
        feedback = QgsProcessingFeedback()
    if context is None:
        context = dataobjects.createContext(feedback)

    try:
        results, ok = alg.run(parameters, context, feedback)
        return ok, results
    except QgsProcessingException as e:
        QgsMessageLog.logMessage(str(sys.exc_info()[0]), 'Processing', Qgis.Critical)
        if feedback is not None:
            feedback.reportError(e.msg)
        return False, {}


def executeIterating(alg, parameters, paramToIter, context, feedback):
    # Generate all single-feature layers
    parameter_definition = alg.parameterDefinition(paramToIter)
    if not parameter_definition:
        return False

    iter_source = QgsProcessingParameters.parameterAsSource(parameter_definition, parameters, context)
    sink_list = []
    if iter_source.featureCount() == 0:
        return False

    total = 100.0 / iter_source.featureCount()
    for current, feat in enumerate(iter_source.getFeatures()):
        if feedback.isCanceled():
            return False

        sink, sink_id = QgsProcessingUtils.createFeatureSink('memory:', context, iter_source.fields(), iter_source.wkbType(), iter_source.sourceCrs())
        sink_list.append(sink_id)
        sink.addFeature(feat, QgsFeatureSink.FastInsert)
        del sink

        feedback.setProgress(int(current * total))

    # store output values to use them later as basenames for all outputs
    outputs = {}
    for out in alg.destinationParameterDefinitions():
        outputs[out.name()] = parameters[out.name()]

    # now run all the algorithms
    for i, f in enumerate(sink_list):
        if feedback.isCanceled():
            return False

        parameters[paramToIter] = f
        for out in alg.destinationParameterDefinitions():
            o = outputs[out.name()]
            parameters[out.name()] = QgsProcessingUtils.generateIteratingDestination(o, i, context)
        feedback.setProgressText(QCoreApplication.translate('AlgorithmExecutor', 'Executing iteration {0}/{1}…').format(i, len(sink_list)))
        feedback.setProgress(i * 100 / len(sink_list))
        ret, results = execute(alg, parameters, context, feedback)
        if not ret:
            return False

    handleAlgorithmResults(alg, context, feedback, False)
    return True


def tr(string, context=''):
    if context == '':
        context = 'AlgorithmExecutor'
    return QCoreApplication.translate(context, string)
