def test_polygonize(self):
        """Test if polygonize works"""
        geometry = polygonize(
            self.raster, threshold_min=1.0, threshold_max=1.5)
        # Result is one square
        self.assertTrue(geometry.isGeosValid())
        self.assertFalse(geometry.isMultipart())

        # noinspection PyArgumentEqualDefault
        geometry = polygonize(self.raster, threshold_min=0.0)
        # Result is several polygons
        self.assertTrue(geometry.isGeosValid())
        self.assertTrue(geometry.isMultipart())

        expected = QgsVectorLayer(VECTOR_BASE + '.shp', 'test', 'ogr')
        for feature in expected.getFeatures():
            # the layer has one feature only
            expected_geom = feature.geometry()
            self.assertTrue((geometry.isGeosEqual(expected_geom)))
Exemple #2
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    def run(self, layers):
        """Experimental impact function.

        Input
          layers: List of layers expected to contain
              H: Polygon layer of inundation areas
              E: Vector layer of roads
        """
        target_field = self.parameters['target_field']
        road_type_field = self.parameters['road_type_field']
        threshold_min = self.parameters['min threshold [m]']
        threshold_max = self.parameters['max threshold [m]']

        if threshold_min > threshold_max:
            message = tr('''The minimal threshold is
                greater then the maximal specified threshold.
                Please check the values.''')
            raise GetDataError(message)

        # Extract data
        H = get_hazard_layer(layers)  # Flood
        E = get_exposure_layer(layers)  # Roads

        question = get_question(H.get_name(), E.get_name(), self)

        H = H.get_layer()
        E = E.get_layer()

        # Get necessary width and height of raster
        height = (self.extent[3] - self.extent[1]) / H.rasterUnitsPerPixelY()
        height = int(height)
        width = (self.extent[2] - self.extent[0]) / H.rasterUnitsPerPixelX()
        width = int(width)

        # Align raster extent and self.extent
        raster_extent = H.dataProvider().extent()
        xmin = raster_extent.xMinimum()
        xmax = raster_extent.xMaximum()
        ymin = raster_extent.yMinimum()
        ymax = raster_extent.yMaximum()

        x_delta = (xmax - xmin) / H.width()
        x = xmin
        for i in range(H.width()):
            if abs(x - self.extent[0]) < x_delta:
                # We have found the aligned raster boundary
                break
            x += x_delta
            _ = i

        y_delta = (ymax - ymin) / H.height()
        y = ymin
        for i in range(H.width()):
            if abs(y - self.extent[1]) < y_delta:
                # We have found the aligned raster boundary
                break
            y += y_delta
        clip_extent = [x, y, x + width * x_delta, y + height * y_delta]

        # Clip and polygonize
        small_raster = clip_raster(H, width, height,
                                   QgsRectangle(*clip_extent))
        flooded_polygon = polygonize(small_raster, threshold_min,
                                     threshold_max)

        # Filter geometry and data using the extent
        extent = QgsRectangle(*self.extent)
        request = QgsFeatureRequest()
        request.setFilterRect(extent)

        if flooded_polygon is None:
            message = tr('''There are no objects
                in the hazard layer with
                "value">'%s'.
                Please check the value or use other
                extent.''' % (threshold_min, ))
            raise GetDataError(message)

        # Clip exposure by the extent
        extent_as_polygon = QgsGeometry().fromRect(extent)
        line_layer = clip_by_polygon(E, extent_as_polygon)
        # Find inundated roads, mark them
        line_layer = split_by_polygon(line_layer,
                                      flooded_polygon,
                                      request,
                                      mark_value=(target_field, 1))

        # Find inundated roads, mark them
        # line_layer = split_by_polygon(
        #     E,
        #     flooded_polygon,
        #     request,
        #     mark_value=(target_field, 1))
        target_field_index = line_layer.dataProvider().\
            fieldNameIndex(target_field)

        # Generate simple impact report
        epsg = get_utm_epsg(self.extent[0], self.extent[1])
        output_crs = QgsCoordinateReferenceSystem(epsg)
        transform = QgsCoordinateTransform(E.crs(), output_crs)
        road_len = flooded_len = 0  # Length of roads
        roads_by_type = dict()  # Length of flooded roads by types

        roads_data = line_layer.getFeatures()
        road_type_field_index = line_layer.fieldNameIndex(road_type_field)
        for road in roads_data:
            attributes = road.attributes()
            road_type = attributes[road_type_field_index]
            if road_type.__class__.__name__ == 'QPyNullVariant':
                road_type = tr('Other')
            geom = road.geometry()
            geom.transform(transform)
            length = geom.length()
            road_len += length

            if road_type not in roads_by_type:
                roads_by_type[road_type] = {'flooded': 0, 'total': 0}
            roads_by_type[road_type]['total'] += length

            if attributes[target_field_index] == 1:
                flooded_len += length
                roads_by_type[road_type]['flooded'] += length
        table_body = [
            question,
            TableRow([
                tr('Road Type'),
                tr('Flooded in the threshold (m)'),
                tr('Total (m)')
            ],
                     header=True),
            TableRow([tr('All'), int(flooded_len),
                      int(road_len)])
        ]
        table_body.append(TableRow(tr('Breakdown by road type'), header=True))
        for t, v in roads_by_type.iteritems():
            table_body.append(TableRow([t,
                                        int(v['flooded']),
                                        int(v['total'])]))

        impact_summary = Table(table_body).toNewlineFreeString()
        map_title = tr('Roads inundated')

        style_classes = [
            dict(label=tr('Not Inundated'),
                 value=0,
                 colour='#1EFC7C',
                 transparency=0,
                 size=0.5),
            dict(label=tr('Inundated'),
                 value=1,
                 colour='#F31A1C',
                 transparency=0,
                 size=0.5)
        ]
        style_info = dict(target_field=target_field,
                          style_classes=style_classes,
                          style_type='categorizedSymbol')

        # Convert QgsVectorLayer to inasafe layer and return it
        line_layer = Vector(data=line_layer,
                            name=tr('Flooded roads'),
                            keywords={
                                'impact_summary': impact_summary,
                                'map_title': map_title,
                                'target_field': target_field
                            },
                            style_info=style_info)
        return line_layer
    def run(self, layers):
        """
        Experimental impact function

        Input
          layers: List of layers expected to contain
              H: Polygon layer of inundation areas
              E: Vector layer of roads
        """
        target_field = self.parameters['target_field']
        road_type_field = self.parameters['road_type_field']
        threshold_min = self.parameters['min threshold [m]']
        threshold_max = self.parameters['max threshold [m]']

        if threshold_min > threshold_max:
            message = tr('''The minimal threshold is
                greater then the maximal specified threshold.
                Please check the values.''')
            raise GetDataError(message)

        # Extract data
        H = get_hazard_layer(layers)    # Flood
        E = get_exposure_layer(layers)  # Roads

        question = get_question(
            H.get_name(), E.get_name(), self)

        H = H.get_layer()
        E = E.get_layer()

        # Get necessary width and height of raster
        height = (self.extent[3] - self.extent[1]) / H.rasterUnitsPerPixelY()
        height = int(height)
        width = (self.extent[2] - self.extent[0]) / H.rasterUnitsPerPixelX()
        width = int(width)

        # Align raster extent and self.extent
        raster_extent = H.dataProvider().extent()
        xmin = raster_extent.xMinimum()
        xmax = raster_extent.xMaximum()
        ymin = raster_extent.yMinimum()
        ymax = raster_extent.yMaximum()

        x_delta = (xmax - xmin) / H.width()
        x = xmin
        for i in range(H.width()):
            if abs(x - self.extent[0]) < x_delta:
                # We have found the aligned raster boundary
                break
            x += x_delta
            _ = i

        y_delta = (ymax - ymin) / H.height()
        y = ymin
        for i in range(H.width()):
            if abs(y - self.extent[1]) < y_delta:
                # We have found the aligned raster boundary
                break
            y += y_delta
        clip_extent = [x, y, x + width * x_delta, y + height * y_delta]

        # Clip and polygonize
        small_raster = clip_raster(
            H, width, height, QgsRectangle(*clip_extent))
        flooded_polygon = polygonize(
            small_raster, threshold_min, threshold_max)

        # Filter geometry and data using the extent
        extent = QgsRectangle(*self.extent)
        request = QgsFeatureRequest()
        request.setFilterRect(extent)

        if flooded_polygon is None:
            message = tr('''There are no objects
                in the hazard layer with
                "value">'%s'.
                Please check the value or use other
                extent.''' % (threshold_min, ))
            raise GetDataError(message)

        # Clip exposure by the extent
        extent_as_polygon = QgsGeometry().fromRect(extent)
        line_layer = clip_by_polygon(
            E,
            extent_as_polygon
        )
        # Find inundated roads, mark them
        line_layer = split_by_polygon(
            line_layer,
            flooded_polygon,
            request,
            mark_value=(target_field, 1))

        # Find inundated roads, mark them
        # line_layer = split_by_polygon(
        #     E,
        #     flooded_polygon,
        #     request,
        #     mark_value=(target_field, 1))
        target_field_index = line_layer.dataProvider().\
            fieldNameIndex(target_field)

        # Generate simple impact report
        epsg = get_utm_epsg(self.extent[0], self.extent[1])
        output_crs = QgsCoordinateReferenceSystem(epsg)
        transform = QgsCoordinateTransform(E.crs(), output_crs)
        road_len = flooded_len = 0  # Length of roads
        roads_by_type = dict()      # Length of flooded roads by types

        roads_data = line_layer.getFeatures()
        road_type_field_index = line_layer.fieldNameIndex(road_type_field)
        for road in roads_data:
            attributes = road.attributes()
            road_type = attributes[road_type_field_index]
            if road_type.__class__.__name__ == 'QPyNullVariant':
                road_type = tr('Other')
            geom = road.geometry()
            geom.transform(transform)
            length = geom.length()
            road_len += length

            if not road_type in roads_by_type:
                roads_by_type[road_type] = {'flooded': 0, 'total': 0}
            roads_by_type[road_type]['total'] += length

            if attributes[target_field_index] == 1:
                flooded_len += length
                roads_by_type[road_type]['flooded'] += length
        table_body = [
            question,
            TableRow([
                tr('Road Type'),
                tr('Flooded in the threshold (m)'),
                tr('Total (m)')],
                header=True),
            TableRow([
                tr('All'),
                int(flooded_len),
                int(road_len)])]
        table_body.append(TableRow(
            tr('Breakdown by road type'), header=True))
        for t, v in roads_by_type.iteritems():
            table_body.append(
                TableRow([t, int(v['flooded']), int(v['total'])])
            )

        impact_summary = Table(table_body).toNewlineFreeString()
        map_title = tr('Roads inundated')

        style_classes = [dict(label=tr('Not Inundated'), value=0,
                              colour='#1EFC7C', transparency=0, size=0.5),
                         dict(label=tr('Inundated'), value=1,
                              colour='#F31A1C', transparency=0, size=0.5)]
        style_info = dict(target_field=target_field,
                          style_classes=style_classes,
                          style_type='categorizedSymbol')

        # Convert QgsVectorLayer to inasafe layer and return it
        line_layer = Vector(data=line_layer,
                   name=tr('Flooded roads'),
                   keywords={'impact_summary': impact_summary,
                             'map_title': map_title,
                             'target_field': target_field},
                   style_info=style_info)
        return line_layer