Exemplo n.º 1
0
    def onReturnPressed(self):
        try:
            txt = self.editSearch.text().strip()
            self.plugin.lastSearch = self.editSearch.text()
            self.plugin.limitSearchToExtent = (self.cbExtent.isChecked())
            options = self.plugin.gnOptions

            options2 = {}
            if self.plugin.limitSearchToExtent:
                sourceCrs = self.plugin.canvas.mapSettings().destinationCrs()
                targetCrs = QgsCoordinateReferenceSystem()
                targetCrs.createFromSrid(4326)
                xform = QgsCoordinateTransform(sourceCrs, targetCrs, QgsProject.instance())
                geom = xform.transform(self.plugin.canvas.extent())
                options2 = {'viewbox': str(geom.xMinimum()) + ',' +
                            str(geom.yMaximum()) + ',' +
                            str(geom.xMaximum()) + ',' +
                            str(geom.yMinimum())}

            params = {'q': txt, 'addressdetails': '0'}
            self.searchJson(params, self.plugin.gnUsername, options, options2)

        except Exception as e:
            for m in e.args:
                QgsMessageLog.logMessage(m, 'Extensions')
            pass
Exemplo n.º 2
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def extent_to_geo_array(extent, source_crs, dest_crs=None):
    """Convert the supplied extent to geographic and return as an array.

    :param extent: Rectangle defining a spatial extent in any CRS.
    :type extent: QgsRectangle

    :param source_crs: Coordinate system used for extent.
    :type source_crs: QgsCoordinateReferenceSystem

    :returns: a list in the form [xmin, ymin, xmax, ymax] where all
            coordinates provided are in Geographic / EPSG:4326.
    :rtype: list

    """

    if dest_crs is None:
        geo_crs = QgsCoordinateReferenceSystem()
        geo_crs.createFromSrid(4326)
    else:
        geo_crs = dest_crs

    transform = QgsCoordinateTransform(source_crs, geo_crs)

    # Get the clip area in the layer's crs
    transformed_extent = transform.transformBoundingBox(extent)

    geo_extent = [
        transformed_extent.xMinimum(),
        transformed_extent.yMinimum(),
        transformed_extent.xMaximum(),
        transformed_extent.yMaximum()]
    return geo_extent
Exemplo n.º 3
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 def transformGeom(self, item):
     src_crs = QgsCoordinateReferenceSystem()
     src_crs.createFromSrid(item.srid)
     dest_crs = self.mapCanvas.mapRenderer().destinationCrs()
     geom = QgsGeometry(item.geometry)
     geom.transform(QgsCoordinateTransform(src_crs, dest_crs))
     return geom
Exemplo n.º 4
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def viewport_geo_array(map_canvas):
    """Obtain the map canvas current extent in EPSG:4326.

    :param map_canvas: A map canvas instance.
    :type map_canvas: QgsMapCanvas

    :returns: A list in the form [xmin, ymin, xmax, ymax] where all
        coordinates provided are in Geographic / EPSG:4326.
    :rtype: list

    .. note:: Delegates to extent_to_geo_array()
    """

    # get the current viewport extent
    rectangle = map_canvas.extent()

    if map_canvas.hasCrsTransformEnabled():
        crs = map_canvas.mapRenderer().destinationCrs()
    else:
        # some code duplication from extentToGeoArray here
        # in favour of clarity of logic...
        crs = QgsCoordinateReferenceSystem()
        crs.createFromSrid(4326)

    return extent_to_geo_array(rectangle, crs)
Exemplo n.º 5
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    def setUp(self):
        """Fixture run before all tests"""
        register_impact_functions()
        self.maxDiff = None  # show full diff for assert errors
        os.environ['LANG'] = 'en'
        self.DOCK.show_only_visible_layers_flag = True
        load_standard_layers(self.DOCK)
        self.DOCK.cboHazard.setCurrentIndex(0)
        self.DOCK.cboExposure.setCurrentIndex(0)
        self.DOCK.cboFunction.setCurrentIndex(0)
        self.DOCK.run_in_thread_flag = False
        self.DOCK.show_only_visible_layers_flag = False
        self.DOCK.set_layer_from_title_flag = False
        self.DOCK.zoom_to_impact_flag = False
        self.DOCK.hide_exposure_flag = False
        self.DOCK.show_intermediate_layers = False
        set_jakarta_extent()

        self._keywordIO = KeywordIO()
        self._defaults = get_defaults()

        # Set extent as Jakarta extent
        geo_crs = QgsCoordinateReferenceSystem()
        geo_crs.createFromSrid(4326)
        self.extent = extent_to_geo_array(CANVAS.extent(), geo_crs)
Exemplo n.º 6
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def viewport_geo_array(map_canvas):
    """Obtain the map canvas current extent in EPSG:4326.

    :param map_canvas: A map canvas instance.
    :type map_canvas: QgsMapCanvas

    :returns: A list in the form [xmin, ymin, xmax, ymax] where all
        coordinates provided are in Geographic / EPSG:4326.
    :rtype: list

    .. note:: Delegates to extent_to_array()
    """

    # get the current viewport extent
    rectangle = map_canvas.extent()

    destination_crs = QgsCoordinateReferenceSystem()
    destination_crs.createFromSrid(4326)

    if map_canvas.hasCrsTransformEnabled():
        source_crs = map_canvas.mapRenderer().destinationCrs()
    else:
        source_crs = destination_crs

    return extent_to_array(rectangle, source_crs, destination_crs)
    def setUpClass(cls):
        """Run before all tests"""

        # qgis instances
        cls._QgisApp, cls._Canvas, cls._Iface, cls._Parent = \
            QGISAPP, CANVAS, IFACE, PARENT

        cls._PalReportDir = PALREPORTDIR

        # verify that spatialite provider is available
        msg = ('\nSpatialite provider not found, '
               'SKIPPING TEST SUITE')
        res = 'spatialite' in QgsProviderRegistry.instance().providerList()
        assert res, msg

        # load the FreeSansQGIS labeling test font
        fontdb = QFontDatabase()
        cls._TestFontID = fontdb.addApplicationFont(
            os.path.join(cls._TestDataDir, 'font', 'FreeSansQGIS.ttf'))
        msg = ('\nCould not store test font in font database, '
               'SKIPPING TEST SUITE')
        assert cls._TestFontID != -1, msg

        cls._TestFont = fontdb.font('FreeSansQGIS', 'Medium', 48)
        appfont = QApplication.font()
        msg = ('\nCould not load test font from font database, '
               'SKIPPING TEST SUITE')
        assert cls._TestFont.toString() != appfont.toString(), msg

        cls._TestFunction = ''
        cls._TestGroup = ''
        cls._TestGroupPrefix = ''
        cls._TestGroupAbbr = ''

        # initialize class MapRegistry, Canvas, MapRenderer, Map and PAL
        cls._MapRegistry = QgsMapLayerRegistry.instance()
        # set color to match render test comparisons background
        cls._Canvas.setCanvasColor(QColor(152, 219, 249))
        cls._Map = cls._Canvas.map()
        cls._Map.resize(QSize(600, 400))
        cls._MapRenderer = cls._Canvas.mapRenderer()
        crs = QgsCoordinateReferenceSystem()
        # default for labeling test data sources: WGS 84 / UTM zone 13N
        crs.createFromSrid(32613)
        cls._MapRenderer.setDestinationCrs(crs)
        # TODO: match and store platform's native logical output dpi
        cls._MapRenderer.setOutputSize(QSize(600, 400), 72)

        cls._Pal = QgsPalLabeling()
        cls._MapRenderer.setLabelingEngine(cls._Pal)
        cls._PalEngine = cls._MapRenderer.labelingEngine()
        msg = ('\nCould not initialize PAL labeling engine, '
               'SKIPPING TEST SUITE')
        assert cls._PalEngine, msg
 def get_lon_lat_extent(self):
     map_canvas = self.iface.mapCanvas()
     extent = map_canvas.mapSettings().extent()
     if map_canvas.hasCrsTransformEnabled():
         crs_map = map_canvas.mapSettings().destinationCrs()
     else:
         crs_map = map_canvas.currentLayer().crs()
     if crs_map.authid() != u'EPSG:4326':
         crs_4326 = QgsCoordinateReferenceSystem()
         crs_4326.createFromSrid(4326)
         return QgsCoordinateTransform(crs_map, crs_4326).transform(extent)
     return extent
Exemplo n.º 9
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def render_layers(layer_paths):
    """

    :param layer_paths: A list of layer paths.
    :return: Buffer containing output. Note caller is responsible for closing
        the buffer with buffer.close()
    :rtype: QBuffer
    """
    layers = []
    extent = None


    crs = QgsCoordinateReferenceSystem()
    crs.createFromSrid(3857)

    for layer_path in layer_paths:
        map_layer = QgsVectorLayer(layer_path, None, 'ogr')
        QgsMapLayerRegistry.instance().addMapLayer(map_layer)
        transform = QgsCoordinateTransform(map_layer.crs(), crs)
        print map_layer.extent().toString()
        layer_extent = transform.transform(map_layer.extent())
        if extent is None:
            extent = layer_extent
        else:
            extent.combineExtentWith(layer_extent)
        print extent.toString()
        # set layer set
        layers.append(map_layer.id())  # add ID of every layer

    map_settings = QgsMapSettings()

    map_settings.setDestinationCrs(crs)
    map_settings.setCrsTransformEnabled(True)
    map_settings.setExtent(extent)
    map_settings.setOutputSize(QSize(1000, 1000))

    map_settings.setLayers(layers)

    # job = QgsMapRendererParallelJob(settings)
    job = QgsMapRendererSequentialJob(map_settings)
    job.start()
    job.waitForFinished()
    image = job.renderedImage()
    # Save teh image to a buffer
    map_buffer = QBuffer()
    map_buffer.open(QIODevice.ReadWrite)
    image.save(map_buffer, "PNG")
    image.save('/tmp/test.png', 'png')

    # clean up
    QgsMapLayerRegistry.instance().removeAllMapLayers()

    return map_buffer
Exemplo n.º 10
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def get_wgs84_resolution(layer):
    """Return resolution of raster layer in EPSG:4326.

    If input layer is already in EPSG:4326, simply return the resolution
    If not, work it out based on EPSG:4326 representations of its extent.

    :param layer: Raster layer
    :type layer: QgsRasterLayer or QgsMapLayer

    :returns: The resolution of the given layer in the form of (res_x, res_y)
    :rtype: tuple
    """

    msg = tr(
        'Input layer to get_wgs84_resolution must be a raster layer. '
        'I got: %s' % str(layer.type())[1:-1])

    if not layer.type() == QgsMapLayer.RasterLayer:
        raise RuntimeError(msg)

    if layer.crs().authid() == 'EPSG:4326':
        cell_size = (
            layer.rasterUnitsPerPixelX(), layer.rasterUnitsPerPixelY())
    else:
        # Otherwise, work it out based on EPSG:4326 representations of
        # its extent

        # Reproject extent to EPSG:4326
        geo_crs = QgsCoordinateReferenceSystem()
        geo_crs.createFromSrid(4326)
        transform = QgsCoordinateTransform(layer.crs(), geo_crs)
        extent = layer.extent()
        projected_extent = transform.transformBoundingBox(extent)

        # Estimate resolution x
        columns = layer.width()
        width = abs(
            projected_extent.xMaximum() -
            projected_extent.xMinimum())
        cell_size_x = width / columns

        # Estimate resolution y
        rows = layer.height()
        height = abs(
            projected_extent.yMaximum() -
            projected_extent.yMinimum())
        cell_size_y = height / rows

        cell_size = (cell_size_x, cell_size_y)

    return cell_size
 def getBaseMapSettings(cls):
     """
     :rtype: QgsMapSettings
     """
     ms = QgsMapSettings()
     crs = QgsCoordinateReferenceSystem()
     """:type: QgsCoordinateReferenceSystem"""
     crs.createFromSrid(4326)
     ms.setBackgroundColor(QColor(152, 219, 249))
     ms.setOutputSize(QSize(420, 280))
     ms.setOutputDpi(72)
     ms.setFlag(QgsMapSettings.Antialiasing, True)
     ms.setFlag(QgsMapSettings.UseAdvancedEffects, False)
     ms.setFlag(QgsMapSettings.ForceVectorOutput, False)  # no caching?
     ms.setDestinationCrs(crs)
     return ms
Exemplo n.º 12
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    def printToPdf(self, params):
        self.check_required_params(params)

        with change_directory(self.project_root):

            crs = QgsCoordinateReferenceSystem()
            crs.createFromSrid(params.get('srs'))

            mapRenderer = QgsMapRenderer()
            mapUnits = crs.mapUnits()
            mapRenderer.setMapUnits(mapUnits)

            mapExtent = QgsRectangle(*params.get('bbox'))
            mapRenderer.setExtent(mapExtent)

            le = QgsPalLabeling()
            mapRenderer.setLabelingEngine(le)

            layers = params.get('layers')
            self.setTransparencies(layers, params.get('transparencies'))
            mapRenderer.setLayerSet(layers)

            composer = (
                self.getLayoutbyName(params['layout'])
                .firstChildElement('Composition')
            )

            comp = QgsComposition(mapRenderer)
            comp.setPlotStyle(QgsComposition.Print)

            comp.readXML(composer, self.doc)
            # read composition elements
            comp.addItemsFromXML(composer, self.doc)

            comp.setPrintResolution(90)

            # set bbox for the first Map in the layout
            comp_map = comp.getComposerMapById(0)

            comp_map.setNewExtent(QgsRectangle(*params.get('bbox')))
            # comp_map.setNewScale(10000)

            # comp_map.setLayerSet(layers)
            # comp_map.setKeepLayerSet(True)

            # save the file
            comp.exportAsPDF(params['tmpFile'] + '.pdf')
Exemplo n.º 13
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    def _geo_extent_to_canvas_crs(self, extent):
        """Transform a bounding box into the CRS of the canvas.

        :param extent: An extent in geographic coordinates.
        :type extent: QgsRectangle

        :returns: The extent in CRS of the canvas.
        :rtype: QgsRectangle
        """

        # make sure the extent is in the same crs as the canvas
        destination_crs = self.iface.mapCanvas().mapRenderer().destinationCrs()
        source_crs = QgsCoordinateReferenceSystem()
        source_crs.createFromSrid(4326)
        transform = QgsCoordinateTransform(source_crs, destination_crs)
        extent = transform.transformBoundingBox(extent)
        return extent
Exemplo n.º 14
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    def doLocalize(self):
        try:
            # center
            bbox = self.plugin.canvas.extent()
            sourceCrs = self.plugin.canvas.mapSettings().destinationCrs()
            targetCrs = QgsCoordinateReferenceSystem()
            targetCrs.createFromSrid(4326)
            xform = QgsCoordinateTransform(sourceCrs, targetCrs, QgsProject.instance())
            bbox = xform.transform(bbox)

            params = {"lon": str(bbox.center().x()), "lat": str(bbox.center().y()), "zoom": "10"}
            self.findNearbyJSON(params, self.plugin.gnUsername, self.plugin.gnOptions)

        except Exception as e:
            for m in e.args:
                QgsMessageLog.logMessage(m, 'Extensions')
            pass
Exemplo n.º 15
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def set_canvas_crs(epsg_id, enable_projection=False):
    """Helper to set the crs for the CANVAS before a test is run.

    :param epsg_id: Valid EPSG identifier
    :type epsg_id: int

    :param enable_projection: whether on the fly projections should be
        enabled on the CANVAS. Default to False.
    :type enable_projection: bool

    """
    # Create CRS Instance
    crs = QgsCoordinateReferenceSystem()
    crs.createFromSrid(epsg_id)

    # Reproject all layers to WGS84 geographic CRS
    CANVAS.setDestinationCrs(crs)
Exemplo n.º 16
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 def getBaseMapSettings(cls):
     """
     :rtype: QgsMapSettings
     """
     ms = QgsMapSettings()
     crs = QgsCoordinateReferenceSystem()
     """:type: QgsCoordinateReferenceSystem"""
     # default for labeling test data: WGS 84 / UTM zone 13N
     crs.createFromSrid(32613)
     ms.setBackgroundColor(QColor(152, 219, 249))
     ms.setOutputSize(QSize(420, 280))
     ms.setOutputDpi(72)
     ms.setFlag(QgsMapSettings.Antialiasing)
     ms.setDestinationCrs(crs)
     ms.setCrsTransformEnabled(False)
     ms.setMapUnits(crs.mapUnits())  # meters
     ms.setExtent(cls.aoiExtent())
     return ms
Exemplo n.º 17
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 def getBaseMapSettings(cls):
     """
     :rtype: QgsMapSettings
     """
     ms = QgsMapSettings()
     crs = QgsCoordinateReferenceSystem()
     """:type: QgsCoordinateReferenceSystem"""
     # default for labeling test data: WGS 84 / UTM zone 13N
     crs.createFromSrid(32613)
     ms.setBackgroundColor(QColor(152, 219, 249))
     ms.setOutputSize(QSize(420, 280))
     ms.setOutputDpi(72)
     ms.setFlag(QgsMapSettings.Antialiasing, True)
     ms.setFlag(QgsMapSettings.UseAdvancedEffects, False)
     ms.setFlag(QgsMapSettings.ForceVectorOutput, False)  # no caching?
     ms.setDestinationCrs(crs)
     ms.setExtent(cls.aoiExtent())
     return ms
Exemplo n.º 18
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def getWGS84resolution(layer):
    """Return resolution of raster layer in EPSG:4326.

    If input layer is already in EPSG:4326, simply return the resolution
    If not, work it out based on EPSG:4326 representations of its extent.

    :param layer: Raster layer
    :type layer: QgsRasterLayer or QgsMapLayer

    :returns: The resolution of the given layer.
    :rtype: float

    """

    msg = tr(
        'Input layer to getWGS84resolution must be a raster layer. '
        'I got: %s' % str(layer.type())[1:-1])
    if not layer.type() == QgsMapLayer.RasterLayer:
        raise RuntimeError(msg)

    if layer.crs().authid() == 'EPSG:4326':
        myCellSize = layer.rasterUnitsPerPixelX()

    else:
        # Otherwise, work it out based on EPSG:4326 representations of
        # its extent

        # Reproject extent to EPSG:4326
        myGeoCrs = QgsCoordinateReferenceSystem()
        myGeoCrs.createFromSrid(4326)
        myXForm = QgsCoordinateTransform(layer.crs(), myGeoCrs)
        myExtent = layer.extent()
        myProjectedExtent = myXForm.transformBoundingBox(myExtent)

        # Estimate cell size
        myColumns = layer.width()
        myGeoWidth = abs(myProjectedExtent.xMaximum() -
                         myProjectedExtent.xMinimum())
        myCellSize = myGeoWidth / myColumns

    return myCellSize
Exemplo n.º 19
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    def prepareIteratorLayout(self):
        layer_path = os.path.join(TEST_DATA_DIR, 'france_parts.shp')
        layer = QgsVectorLayer(layer_path, 'test', "ogr")

        project = QgsProject()
        project.addMapLayers([layer])
        # select epsg:2154
        crs = QgsCoordinateReferenceSystem()
        crs.createFromSrid(2154)
        project.setCrs(crs)

        layout = QgsPrintLayout(project)
        layout.initializeDefaults()

        # fix the renderer, fill with green
        props = {"color": "0,127,0", "outline_width": "4", "outline_color": '255,255,255'}
        fillSymbol = QgsFillSymbol.createSimple(props)
        renderer = QgsSingleSymbolRenderer(fillSymbol)
        layer.setRenderer(renderer)

        # the atlas map
        atlas_map = QgsLayoutItemMap(layout)
        atlas_map.attemptSetSceneRect(QRectF(20, 20, 130, 130))
        atlas_map.setFrameEnabled(True)
        atlas_map.setLayers([layer])
        layout.addLayoutItem(atlas_map)

        # the atlas
        atlas = layout.atlas()
        atlas.setCoverageLayer(layer)
        atlas.setEnabled(True)

        atlas_map.setExtent(
            QgsRectangle(332719.06221504929, 6765214.5887386119, 560957.85090677091, 6993453.3774303338))

        atlas_map.setAtlasDriven(True)
        atlas_map.setAtlasScalingMode(QgsLayoutItemMap.Auto)
        atlas_map.setAtlasMargin(0.10)

        return project, layout
Exemplo n.º 20
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def rectangle_geo_array(rectangle, map_canvas):
    """Obtain the rectangle in EPSG:4326.

    :param rectangle: A rectangle instance.
    :type rectangle: QgsRectangle

    :param map_canvas: A map canvas instance.
    :type map_canvas: QgsMapCanvas

    :returns: A list in the form [xmin, ymin, xmax, ymax] where all
        coordinates provided are in Geographic / EPSG:4326.
    :rtype: list

    .. note:: Delegates to extent_to_array()
    """

    destination_crs = QgsCoordinateReferenceSystem()
    destination_crs.createFromSrid(4326)

    source_crs = map_canvas.mapSettings().destinationCrs()

    return extent_to_array(rectangle, source_crs, destination_crs)
    def run(self, layers):
        """Run the impact function.

        :param layers: List of layers expected to contain at least:
            H: Polygon layer of inundation areas
            E: Vector layer of roads
        :type layers: list

        :returns: A new line layer with inundated roads marked.
        :type: safe_layer
        """
        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()

        # reproject self.extent to the hazard projection
        hazard_crs = H.crs()
        hazard_authid = hazard_crs.authid()

        if hazard_authid == 'EPSG:4326':
            viewport_extent = self.extent
        else:
            geo_crs = QgsCoordinateReferenceSystem()
            geo_crs.createFromSrid(4326)
            viewport_extent = extent_to_geo_array(
                QgsRectangle(*self.extent), geo_crs, hazard_crs)

        # Align raster extent and viewport
        # assuming they are both in the same projection
        raster_extent = H.dataProvider().extent()
        clip_xmin = raster_extent.xMinimum()
        # clip_xmax = raster_extent.xMaximum()
        clip_ymin = raster_extent.yMinimum()
        # clip_ymax = raster_extent.yMaximum()
        if viewport_extent[0] > clip_xmin:
            clip_xmin = viewport_extent[0]
        if viewport_extent[1] > clip_ymin:
            clip_ymin = viewport_extent[1]
        # TODO: Why have these two clauses when they are not used?
        # Commenting out for now.
        # if viewport_extent[2] < clip_xmax:
        #     clip_xmax = viewport_extent[2]
        # if viewport_extent[3] < clip_ymax:
        #     clip_ymax = viewport_extent[3]

        height = ((viewport_extent[3] - viewport_extent[1]) /
                  H.rasterUnitsPerPixelY())
        height = int(height)
        width = ((viewport_extent[2] - viewport_extent[0]) /
                 H.rasterUnitsPerPixelX())
        width = int(width)

        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 - clip_xmin) < 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 - clip_ymin) < 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_inside, flooded_polygon_outside) = polygonize_gdal(
            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_inside 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)

        # reproject the flood polygons to exposure projection
        exposure_crs = E.crs()
        exposure_authid = exposure_crs.authid()

        if hazard_authid != exposure_authid:
            flooded_polygon_inside = reproject_vector_layer(
                flooded_polygon_inside, E.crs())
            flooded_polygon_outside = reproject_vector_layer(
                flooded_polygon_outside, E.crs())

        # Clip exposure by the extent
        # extent_as_polygon = QgsGeometry().fromRect(extent)
        # no need to clip since It is using a bbox request
        # line_layer = clip_by_polygon(
        #    E,
        #    extent_as_polygon
        # )
        # Find inundated roads, mark them
        line_layer = split_by_polygon_in_out(
            E,
            flooded_polygon_inside,
            flooded_polygon_outside,
            target_field, 1, request)

        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)]),
            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
Exemplo n.º 22
0
    def testCase(self):
        self.TEST_DATA_DIR = unitTestDataPath()
        tmppath = tempfile.mkdtemp()
        for file in glob.glob(os.path.join(self.TEST_DATA_DIR, 'france_parts.*')):
            shutil.copy(os.path.join(self.TEST_DATA_DIR, file), tmppath)
        vectorFileInfo = QFileInfo(tmppath + "/france_parts.shp")
        mVectorLayer = QgsVectorLayer(vectorFileInfo.filePath(), vectorFileInfo.completeBaseName(), "ogr")

        QgsProject.instance().addMapLayers([mVectorLayer])
        self.layers = [mVectorLayer]

        # create composition with composer map

        # select epsg:2154
        crs = QgsCoordinateReferenceSystem()
        crs.createFromSrid(2154)
        QgsProject.instance().setCrs(crs)

        self.mComposition = QgsComposition(QgsProject.instance())
        self.mComposition.setPaperSize(297, 210)

        # fix the renderer, fill with green
        props = {"color": "0,127,0"}
        fillSymbol = QgsFillSymbol.createSimple(props)
        renderer = QgsSingleSymbolRenderer(fillSymbol)
        mVectorLayer.setRenderer(renderer)

        # the atlas map
        self.mAtlasMap = QgsComposerMap(self.mComposition, 20, 20, 130, 130)
        self.mAtlasMap.setFrameEnabled(True)
        self.mAtlasMap.setLayers([mVectorLayer])
        self.mComposition.addComposerMap(self.mAtlasMap)

        # the atlas
        self.mAtlas = self.mComposition.atlasComposition()
        self.mAtlas.setCoverageLayer(mVectorLayer)
        self.mAtlas.setEnabled(True)
        self.mComposition.setAtlasMode(QgsComposition.ExportAtlas)

        # an overview
        self.mOverview = QgsComposerMap(self.mComposition, 180, 20, 50, 50)
        self.mOverview.setFrameEnabled(True)
        self.mOverview.overview().setFrameMap(self.mAtlasMap.id())
        self.mOverview.setLayers([mVectorLayer])
        self.mComposition.addComposerMap(self.mOverview)
        nextent = QgsRectangle(49670.718, 6415139.086, 699672.519, 7065140.887)
        self.mOverview.setNewExtent(nextent)

        # set the fill symbol of the overview map
        props2 = {"color": "127,0,0,127"}
        fillSymbol2 = QgsFillSymbol.createSimple(props2)
        self.mOverview.overview().setFrameSymbol(fillSymbol2)

        # header label
        self.mLabel1 = QgsComposerLabel(self.mComposition)
        self.mComposition.addComposerLabel(self.mLabel1)
        self.mLabel1.setText("[% \"NAME_1\" %] area")
        self.mLabel1.setFont(QgsFontUtils.getStandardTestFont())
        self.mLabel1.adjustSizeToText()
        self.mLabel1.setSceneRect(QRectF(150, 5, 60, 15))

        qWarning(
            "header label font: %s exactMatch:%s" % (self.mLabel1.font().toString(), self.mLabel1.font().exactMatch()))

        # feature number label
        self.mLabel2 = QgsComposerLabel(self.mComposition)
        self.mComposition.addComposerLabel(self.mLabel2)
        self.mLabel2.setText("# [%@atlas_featurenumber || ' / ' || @atlas_totalfeatures%]")
        self.mLabel2.setFont(QgsFontUtils.getStandardTestFont())
        self.mLabel2.adjustSizeToText()
        self.mLabel2.setSceneRect(QRectF(150, 200, 60, 15))

        qWarning("feature number label font: %s exactMatch:%s" % (
                 self.mLabel2.font().toString(), self.mLabel2.font().exactMatch()))

        self.filename_test()
        self.autoscale_render_test()
        self.fixedscale_render_test()
        self.predefinedscales_render_test()
        self.hidden_render_test()
        self.legend_test()

        shutil.rmtree(tmppath, True)
Exemplo n.º 23
0
    def run(self):
        """Run the impact function.

        :returns: A vector layer with affected areas marked.
        :type: safe_layer
        """
        hazard_layer = self.hazard.layer
        exposure = self.exposure.layer

        # Thresholds for tsunami hazard zone breakdown.
        group_parameters = self.parameters['group_threshold']
        ver_low_unit = group_parameters.value_map['very_low_threshold'].unit
        unit_abbrev = ver_low_unit.abbreviation
        unaffected_threshold = group_parameters.value_map[
            'unaffected_threshold']
        unaffected_max = unaffected_threshold.value
        very_low_max = group_parameters.value_map['very_low_threshold'].value
        low_max = group_parameters.value_map['low_threshold'].value
        medium_max = group_parameters.value_map['moderate_threshold'].value
        high_max = group_parameters.value_map['high_threshold'].value
        ranges = ranges_according_thresholds_list(
            [None, unaffected_max, very_low_max, low_max,
             medium_max, high_max, None])

        hazard_value_to_class = {}
        for i, interval in enumerate(ranges):
            hazard_value_to_class[interval] = self.hazard_classes[i]

        # Get parameters from layer's keywords
        class_field = self.exposure.keyword('field')

        # reproject self.extent to the hazard projection
        hazard_crs = hazard_layer.crs()
        hazard_authid = hazard_crs.authid()

        if hazard_authid == 'EPSG:4326':
            viewport_extent = self.requested_extent
        else:
            geo_crs = QgsCoordinateReferenceSystem()
            geo_crs.createFromSrid(4326)
            viewport_extent = extent_to_geo_array(
                QgsRectangle(*self.requested_extent), geo_crs, hazard_crs)

        small_raster = align_clip_raster(hazard_layer, viewport_extent)

        # Create vector features from the flood raster
        hazard_class_attribute = 'hazard'
        vector_file_path = reclassify_polygonize(
            small_raster.source(), ranges, name_field=hazard_class_attribute)

        hazard = QgsVectorLayer(vector_file_path, 'ash vector', 'ogr')

        # prepare objects for re-projection of geometries
        crs_wgs84 = QgsCoordinateReferenceSystem('EPSG:4326')
        hazard_to_exposure = QgsCoordinateTransform(
            hazard.crs(), exposure.crs())
        wgs84_to_hazard = QgsCoordinateTransform(
            crs_wgs84, hazard.crs())
        wgs84_to_exposure = QgsCoordinateTransform(
            crs_wgs84, exposure.crs())

        extent = QgsRectangle(
            self.requested_extent[0], self.requested_extent[1],
            self.requested_extent[2], self.requested_extent[3])
        extent_hazard = wgs84_to_hazard.transformBoundingBox(extent)
        extent_exposure = wgs84_to_exposure.transformBoundingBox(extent)
        extent_exposure_geom = QgsGeometry.fromRect(extent_exposure)

        # make spatial index of hazard
        hazard_index = QgsSpatialIndex()
        hazard_features = {}
        for f in hazard.getFeatures(QgsFeatureRequest(extent_hazard)):
            f.geometry().transform(hazard_to_exposure)
            hazard_index.insertFeature(f)
            hazard_features[f.id()] = QgsFeature(f)

        # create impact layer
        filename = unique_filename(suffix='.shp')
        impact_fields = exposure.dataProvider().fields()
        impact_fields.append(QgsField(self.target_field, QVariant.String))
        writer = QgsVectorFileWriter(
            filename, 'utf-8', impact_fields, QGis.WKBPolygon, exposure.crs())

        # iterate over all exposure polygons and calculate the impact
        _calculate_landcover_impact(
            exposure, extent_exposure, extent_exposure_geom,
            hazard_class_attribute, hazard_features, hazard_index,
            hazard_value_to_class, impact_fields, writer)

        del writer
        impact_layer = QgsVectorLayer(filename, 'Impacted Land Cover', 'ogr')

        # find unaffected features
        unaffected_feats = []
        target_field_index = impact_layer.fieldNameIndex(self.target_field)
        for f in impact_layer.getFeatures():
            haz_class = f.attributes()[target_field_index]
            if haz_class == self.hazard_classes[0]:
                unaffected_feats.append(f.id())

        impact_layer.dataProvider().deleteFeatures(unaffected_feats)

        if impact_layer.featureCount() == 0:
            raise ZeroImpactException()

        zone_field = None
        if self.aggregator:
            zone_field = self.aggregator.exposure_aggregation_field

        impact_data = LandCoverReportMixin(
            question=self.question,
            impact_layer=impact_layer,
            target_field=self.target_field,
            ordered_columns=self.hazard_classes,
            affected_columns=self.affected_hazard_columns,
            land_cover_field=class_field,
            zone_field=zone_field
        ).generate_data()

        # Define style for the impact layer
        style_classes = [
            dict(
                label=self.hazard_classes[1] + ': %.1f - %.1f %s' % (
                    unaffected_max, very_low_max, unit_abbrev),
                value=self.hazard_classes[1],
                colour='#2C6BA4',
                border_color='#000000',
                transparency=0),
            dict(
                label=self.hazard_classes[2] + ': %.1f - %.1f %s' % (
                    very_low_max + 0.1, low_max, unit_abbrev),
                value=self.hazard_classes[2],
                colour='#00A4D8',
                border_color='#000000',
                transparency=0),
            dict(
                label=self.hazard_classes[3] + ': %.1f - %.1f %s' % (
                    low_max + 0.1, medium_max, unit_abbrev),
                value=self.hazard_classes[3],
                colour='#FFEF36',
                border_color='#000000',
                transparency=0),
            dict(
                label=self.hazard_classes[4] + ': %.1f - %.1f %s' % (
                    medium_max + 0.1, high_max, unit_abbrev),
                value=self.hazard_classes[4],
                colour='#EFA951',
                border_color='#000000',
                transparency=0),
            dict(
                label=self.hazard_classes[5] + ': > %.1f %s' % (
                    high_max, unit_abbrev),
                value=self.hazard_classes[5],
                colour='#d62631',
                border_color='#000000',
                transparency=0),
        ]
        style_info = dict(
            target_field=self.target_field,
            style_classes=style_classes,
            style_type='categorizedSymbol')

        extra_keywords = {
            'map_title': self.map_title(),
            'target_field': self.target_field
        }

        impact_layer_keywords = self.generate_impact_keywords(extra_keywords)

        # Create vector layer and return
        impact_layer = Vector(
            data=impact_layer,
            name=self.map_title(),
            keywords=impact_layer_keywords,
            style_info=style_info)

        impact_layer.impact_data = impact_data
        self._impact = impact_layer
        return impact_layer
Exemplo n.º 24
0
    def testCase(self):
        self.TEST_DATA_DIR = unitTestDataPath()
        vectorFileInfo = QFileInfo(self.TEST_DATA_DIR + "/france_parts.shp")
        mVectorLayer = QgsVectorLayer(vectorFileInfo.filePath(),
                                      vectorFileInfo.completeBaseName(), "ogr")

        QgsMapLayerRegistry.instance().addMapLayers([mVectorLayer])

        # create composition with composer map
        mMapRenderer = QgsMapRenderer()
        layerStringList = []
        layerStringList.append(mVectorLayer.id())
        mMapRenderer.setLayerSet(layerStringList)
        mMapRenderer.setProjectionsEnabled(True)
        mMapRenderer.setMapUnits(QGis.Meters)

        # select epsg:2154
        crs = QgsCoordinateReferenceSystem()
        crs.createFromSrid(2154)
        mMapRenderer.setDestinationCrs(crs)

        self.mComposition = QgsComposition(mMapRenderer)
        self.mComposition.setPaperSize(297, 210)

        # fix the renderer, fill with green
        props = {"color": "0,127,0"}
        fillSymbol = QgsFillSymbolV2.createSimple(props)
        renderer = QgsSingleSymbolRendererV2(fillSymbol)
        mVectorLayer.setRendererV2(renderer)

        # the atlas map
        self.mAtlasMap = QgsComposerMap(self.mComposition, 20, 20, 130, 130)
        self.mAtlasMap.setFrameEnabled(True)
        self.mComposition.addComposerMap(self.mAtlasMap)

        # the atlas
        self.mAtlas = self.mComposition.atlasComposition()
        self.mAtlas.setCoverageLayer(mVectorLayer)
        self.mAtlas.setEnabled(True)
        self.mComposition.setAtlasMode(QgsComposition.ExportAtlas)

        # an overview
        mOverview = QgsComposerMap(self.mComposition, 180, 20, 50, 50)
        mOverview.setFrameEnabled(True)
        mOverview.setOverviewFrameMap(self.mAtlasMap.id())
        self.mComposition.addComposerMap(mOverview)
        nextent = QgsRectangle(49670.718, 6415139.086, 699672.519, 7065140.887)
        mOverview.setNewExtent(nextent)

        # set the fill symbol of the overview map
        props2 = {"color": "127,0,0,127"}
        fillSymbol2 = QgsFillSymbolV2.createSimple(props2)
        mOverview.setOverviewFrameMapSymbol(fillSymbol2)

        # header label
        self.mLabel1 = QgsComposerLabel(self.mComposition)
        self.mComposition.addComposerLabel(self.mLabel1)
        self.mLabel1.setText("[% \"NAME_1\" %] area")
        self.mLabel1.setFont(QgsFontUtils.getStandardTestFont())
        self.mLabel1.adjustSizeToText()
        self.mLabel1.setSceneRect(QRectF(150, 5, 60, 15))

        qWarning(
            "header label font: %s exactMatch:%s" %
            (self.mLabel1.font().toString(), self.mLabel1.font().exactMatch()))

        # feature number label
        self.mLabel2 = QgsComposerLabel(self.mComposition)
        self.mComposition.addComposerLabel(self.mLabel2)
        self.mLabel2.setText("# [%$feature || ' / ' || $numfeatures%]")
        self.mLabel2.setFont(QgsFontUtils.getStandardTestFont())
        self.mLabel2.adjustSizeToText()
        self.mLabel2.setSceneRect(QRectF(150, 200, 60, 15))

        qWarning(
            "feature number label font: %s exactMatch:%s" %
            (self.mLabel2.font().toString(), self.mLabel2.font().exactMatch()))

        self.filename_test()
        self.autoscale_render_test()
        self.autoscale_render_test_old_api()
        self.fixedscale_render_test()
        self.predefinedscales_render_test()
        self.hidden_render_test()
Exemplo n.º 25
0
    def testCase(self):
        self.TEST_DATA_DIR = unitTestDataPath()
        tmppath = tempfile.mkdtemp()
        for file in glob.glob(os.path.join(self.TEST_DATA_DIR, 'france_parts.*')):
            shutil.copy(os.path.join(self.TEST_DATA_DIR, file), tmppath)
        vectorFileInfo = QFileInfo(tmppath + "/france_parts.shp")
        mVectorLayer = QgsVectorLayer(vectorFileInfo.filePath(), vectorFileInfo.completeBaseName(), "ogr")

        QgsProject.instance().addMapLayers([mVectorLayer])
        self.layers = [mVectorLayer]

        # create layout with layout map

        # select epsg:2154
        crs = QgsCoordinateReferenceSystem()
        crs.createFromSrid(2154)
        QgsProject.instance().setCrs(crs)

        self.layout = QgsPrintLayout(QgsProject.instance())
        self.layout.initializeDefaults()

        # fix the renderer, fill with green
        props = {"color": "0,127,0", 'outline_color': 'black'}
        fillSymbol = QgsFillSymbol.createSimple(props)
        renderer = QgsSingleSymbolRenderer(fillSymbol)
        mVectorLayer.setRenderer(renderer)

        # the atlas map
        self.atlas_map = QgsLayoutItemMap(self.layout)
        self.atlas_map.attemptSetSceneRect(QRectF(20, 20, 130, 130))
        self.atlas_map.setFrameEnabled(True)
        self.atlas_map.setLayers([mVectorLayer])
        self.layout.addLayoutItem(self.atlas_map)

        # the atlas
        self.atlas = self.layout.atlas()
        self.atlas.setCoverageLayer(mVectorLayer)
        self.atlas.setEnabled(True)

        # an overview
        self.overview = QgsLayoutItemMap(self.layout)
        self.overview.attemptSetSceneRect(QRectF(180, 20, 50, 50))
        self.overview.setFrameEnabled(True)
        self.overview.overview().setLinkedMap(self.atlas_map)
        self.overview.setLayers([mVectorLayer])
        self.layout.addLayoutItem(self.overview)
        nextent = QgsRectangle(49670.718, 6415139.086, 699672.519, 7065140.887)
        self.overview.setExtent(nextent)

        # set the fill symbol of the overview map
        props2 = {"color": "127,0,0,127", 'outline_color': 'black'}
        fillSymbol2 = QgsFillSymbol.createSimple(props2)
        self.overview.overview().setFrameSymbol(fillSymbol2)

        # header label
        self.mLabel1 = QgsLayoutItemLabel(self.layout)
        self.layout.addLayoutItem(self.mLabel1)
        self.mLabel1.setText("[% \"NAME_1\" %] area")
        self.mLabel1.setFont(QgsFontUtils.getStandardTestFont())
        self.mLabel1.adjustSizeToText()
        self.mLabel1.attemptSetSceneRect(QRectF(150, 5, 60, 15))
        self.mLabel1.setMarginX(1)
        self.mLabel1.setMarginY(1)

        # feature number label
        self.mLabel2 = QgsLayoutItemLabel(self.layout)
        self.layout.addLayoutItem(self.mLabel2)
        self.mLabel2.setText("# [%@atlas_featurenumber || ' / ' || @atlas_totalfeatures%]")
        self.mLabel2.setFont(QgsFontUtils.getStandardTestFont())
        self.mLabel2.adjustSizeToText()
        self.mLabel2.attemptSetSceneRect(QRectF(150, 200, 60, 15))
        self.mLabel2.setMarginX(1)
        self.mLabel2.setMarginY(1)

        self.filename_test()
        self.autoscale_render_test()
        self.fixedscale_render_test()
        self.predefinedscales_render_test()
        self.hidden_render_test()
        self.legend_test()
        self.rotation_test()

        shutil.rmtree(tmppath, True)
Exemplo n.º 26
0
def _clip_vector_layer(
        layer,
        extent,
        extra_keywords=None,
        explode_flag=True,
        hard_clip_flag=False,
        explode_attribute=None):
    """Clip a Hazard or Exposure layer to the extents provided.

    The layer must be a vector layer or an exception will be thrown.

    The output layer will always be in WGS84/Geographic.

    :param layer: A valid QGIS vector or raster layer
    :type layer:

    :param extent: Either an array representing the exposure layer extents
        in the form [xmin, ymin, xmax, ymax]. It is assumed that the
        coordinates are in EPSG:4326 although currently no checks are made to
        enforce this.
        or:
        A QgsGeometry of type polygon.
        **Polygon clipping is currently only supported for vector datasets.**
    :type extent: list(float, float, float, float)

    :param extra_keywords: Optional keywords dictionary to be added to
        output layer.
    :type extra_keywords: dict

    :param explode_flag: A bool specifying whether multipart features
        should be 'exploded' into singleparts.
        **This parameter is ignored for raster layer clipping.**
    :type explode_flag: bool

    :param hard_clip_flag: A bool specifying whether line and polygon
        features that extend beyond the extents should be clipped such that
        they are reduced in size to the part of the geometry that intersects
        the extent only. Default is False.
        **This parameter is ignored for raster layer clipping.**
    :type hard_clip_flag: bool

    :param explode_attribute: A str specifying to which attribute #1,
        #2 and so on will be added in case of explode_flag being true. The
        attribute is modified only if there are at least 2 parts.
    :type explode_attribute: str

    :returns: Clipped layer (placed in the system temp dir). The output layer
        will be reprojected to EPSG:4326 if needed.
    :rtype: QgsVectorLayer

    """
    if not layer or not extent:
        myMessage = tr('Layer or Extent passed to clip is None.')
        raise InvalidParameterError(myMessage)

    if layer.type() != QgsMapLayer.VectorLayer:
        myMessage = tr('Expected a vector layer but received a %s.' %
                       str(layer.type()))
        raise InvalidParameterError(myMessage)

    #myHandle, myFilename = tempfile.mkstemp('.sqlite', 'clip_',
    #    temp_dir())
    myHandle, myFilename = tempfile.mkstemp('.shp', 'clip_',
                                            temp_dir())

    # Ensure the file is deleted before we try to write to it
    # fixes windows specific issue where you get a message like this
    # ERROR 1: c:\temp\inasafe\clip_jpxjnt.shp is not a directory.
    # This is because mkstemp creates the file handle and leaves
    # the file open.
    os.close(myHandle)
    os.remove(myFilename)

    # Get the clip extents in the layer's native CRS
    myGeoCrs = QgsCoordinateReferenceSystem()
    myGeoCrs.createFromSrid(4326)
    myXForm = QgsCoordinateTransform(myGeoCrs, layer.crs())
    myAllowedClipTypes = [QGis.WKBPolygon, QGis.WKBPolygon25D]
    if type(extent) is list:
        myRect = QgsRectangle(
            extent[0], extent[1],
            extent[2], extent[3])
        # noinspection PyCallByClass
        myClipPolygon = QgsGeometry.fromRect(myRect)
    elif (type(extent) is QgsGeometry and
          extent.wkbType in myAllowedClipTypes):
        myRect = extent.boundingBox().toRectF()
        myClipPolygon = extent
    else:
        raise InvalidClipGeometryError(
            tr(
                'Clip geometry must be an extent or a single part'
                'polygon based geometry.'))

    myProjectedExtent = myXForm.transformBoundingBox(myRect)

    # Get vector layer
    myProvider = layer.dataProvider()
    if myProvider is None:
        myMessage = tr('Could not obtain data provider from '
                       'layer "%s"' % layer.source())
        raise Exception(myMessage)

    # Get the layer field list, select by our extent then write to disk
    # .. todo:: FIXME - for different geometry types we should implement
    #    different clipping behaviour e.g. reject polygons that
    #    intersect the edge of the bbox. Tim
    myRequest = QgsFeatureRequest()
    if not myProjectedExtent.isEmpty():
        myRequest.setFilterRect(myProjectedExtent)
        myRequest.setFlags(QgsFeatureRequest.ExactIntersect)

    myFieldList = myProvider.fields()

    myWriter = QgsVectorFileWriter(
        myFilename,
        'UTF-8',
        myFieldList,
        layer.wkbType(),
        myGeoCrs,
        #'SQLite')  # FIXME (Ole): This works but is far too slow
        'ESRI Shapefile')
    if myWriter.hasError() != QgsVectorFileWriter.NoError:
        myMessage = tr('Error when creating shapefile: <br>Filename:'
                       '%s<br>Error: %s' %
                       (myFilename, myWriter.hasError()))
        raise Exception(myMessage)

    # Reverse the coordinate xform now so that we can convert
    # geometries from layer crs to geocrs.
    myXForm = QgsCoordinateTransform(layer.crs(), myGeoCrs)
    # Retrieve every feature with its geometry and attributes
    myCount = 0
    myHasMultipart = False

    for myFeature in myProvider.getFeatures(myRequest):
        myGeometry = myFeature.geometry()

        # Loop through the parts adding them to the output file
        # we write out single part features unless explode_flag is False
        if explode_flag:
            myGeometryList = explode_multipart_geometry(myGeometry)
        else:
            myGeometryList = [myGeometry]

        for myPartIndex, myPart in enumerate(myGeometryList):
            myPart.transform(myXForm)
            if hard_clip_flag:
                # Remove any dangling bits so only intersecting area is
                # kept.
                myPart = clip_geometry(myClipPolygon, myPart)
            if myPart is None:
                continue

            myFeature.setGeometry(myPart)
            # There are multiple parts and we want to show it in the
            # explode_attribute
            if myPartIndex > 0 and explode_attribute is not None:
                myHasMultipart = True

            myWriter.addFeature(myFeature)
        myCount += 1
    del myWriter  # Flush to disk

    if myCount < 1:
        myMessage = tr(
            'No features fall within the clip extents. Try panning / zooming '
            'to an area containing data and then try to run your analysis '
            'again. If hazard and exposure data doesn\'t overlap at all, it '
            'is not possible to do an analysis. Another possibility is that '
            'the layers do overlap but because they may have different '
            'spatial references, they appear to be disjointed. If this is the '
            'case, try to turn on reproject on-the-fly in QGIS.')
        raise NoFeaturesInExtentError(myMessage)

    myKeywordIO = KeywordIO()
    if extra_keywords is None:
        extra_keywords = {}
    extra_keywords['had multipart polygon'] = myHasMultipart
    myKeywordIO.copy_keywords(
        layer, myFilename, extra_keywords=extra_keywords)
    myBaseName = '%s clipped' % layer.name()
    myLayer = QgsVectorLayer(myFilename, myBaseName, 'ogr')

    return myLayer
Exemplo n.º 27
0
class osmSearchDialog(QDockWidget , Ui_osmSearch ):
    def __init__(self,iface):
        self.iface = iface
        QDockWidget.__init__(self)
        self.setupUi(self)
        self.iface.addDockWidget(Qt.BottomDockWidgetArea,self)
        self.canvas = self.iface.mapCanvas()
        
        self.rb = QgsRubberBand(self.canvas, QGis.Point)
        self.rb.setColor(QColor( 255, 0, 0, 150 ))
        self.searchCacheLimit = 1000
        
        self.wgs84 = QgsCoordinateReferenceSystem()
        self.wgs84.createFromSrid(4326)
        self.proj = self.canvas.mapRenderer().destinationCrs()
        self.transform = QgsCoordinateTransform(self.wgs84, self.proj)
        
        self.bSearch.clicked.connect(self.startSearch)
        self.eOutput.currentItemChanged.connect(self.itemChanged)
        self.eOutput.clickedOutsideOfItems.connect(self.itemChanged)
        self.eText.cleared.connect(self.clearEdit)
        self.canvas.mapRenderer().destinationSrsChanged.connect(self.crsChanged)
        self.iface.newProjectCreated.connect(self.clearEdit)
        self.iface.projectRead.connect(self.clearEdit)
        self.cbCenter.stateChanged.connect(self.autocenter)
        
        db = cacheDB()
        self.autocompleteList = db.getAutocompleteList()
        db.closeConnection()
        self.completer = QCompleter(self.autocompleteList)
        self.completer.setCaseSensitivity(Qt.CaseInsensitive)
        self.eText.setCompleter(self.completer)

    def startSearch(self):
        text = self.eText.text().encode('utf-8')
        if text == "":
            self.clearEdit()
        #url = 'http://open.mapquestapi.com/nominatim/v1/search.php'
        url = 'http://nominatim.openstreetmap.org/search'
        params = urllib.urlencode({'q': text,'format': 'json','polygon_text':'1'})
        response = json.load(urllib2.urlopen(url+'?'+params))
        self.loadData(response)

    def loadData(self, data):
        self.rb.reset(QGis.Point)
        self.eOutput.clear()
        items = []
        for d in data:
            try:
                geometry = d['geotext']
            except KeyError:
                geometry = 'POINT(%s %s)' % (d['lon'], d['lat'])
            item = QTreeWidgetItem([d['display_name'], d['type']])
            item.setData(0, Qt.UserRole, geometry)
            if geometry.lower().startswith('point'):
                item.setIcon(0, QgsApplication.getThemeIcon('/mIconPointLayer.svg'))
            elif geometry.lower().startswith('linestring'):
                item.setIcon(0, QgsApplication.getThemeIcon('/mIconLineLayer.svg'))
            elif geometry.lower().startswith('polygon'):
                item.setIcon(0, QgsApplication.getThemeIcon('/mIconPolygonLayer.svg'))
            items.append(item)
        if items:
            self.eOutput.insertTopLevelItems(0, items)
            self.addSearchTerm(unicode(self.eText.text().lower()))
            
        else:
            self.iface.messageBar().pushMessage('Nothing was found!', QgsMessageBar.CRITICAL, 2)

    def itemChanged(self, current=None, previous=None):
        if current:
            wkt = str(current.data(0,Qt.UserRole))
            geom = QgsGeometry.fromWkt(wkt)
            if self.proj.srsid() != 4326:
                try:
                    geom.transform(self.transform)
                except:
                    self.iface.messageBar().pushMessage('CRS transformation error!', QgsMessageBar.CRITICAL, 2)
                    self.rb.reset(QGis.Point)
                    return
            self.rb.setToGeometry(geom, None)
            if self.cbCenter.isChecked():
                self.moveCanvas(geom.centroid().asPoint(), self.canvas.extent())
        else:
            self.rb.reset(QGis.Point)
            self.eOutput.setCurrentItem(None)

    def crsChanged(self):
        self.proj = self.canvas.mapRenderer().destinationCrs()
        self.transform = QgsCoordinateTransform(self.wgs84, self.proj)

    def clearEdit(self):
        self.eOutput.clear()
        self.eText.clear()
        if hasattr(self, 'rb'):
            self.rb.reset(QGis.Point)
    
    def setCompleter(self):
        self.completer.model().setStringList(self.autocompleteList)
    
    def addSearchTerm(self, text):
        if not text in self.autocompleteList:
            self.autocompleteList.append(text)
            self.setCompleter()
        while len(self.autocompleteList) > self.searchCacheLimit:
            self.autocompleteList.pop(0)

    def autocenter(self, state):
        if state and self.rb.size():
            self.moveCanvas(self.rb.asGeometry().centroid().asPoint(), self.canvas.extent())

    def moveCanvas(self, newCenter, oldExtent):
        newExtent = QgsRectangle(oldExtent)
        newExtent.scale(1, newCenter)
        self.canvas.setExtent(newExtent)
        self.canvas.refresh()
Exemplo n.º 28
0
    def testCase(self):
        self.TEST_DATA_DIR = unitTestDataPath()
        tmppath = tempfile.mkdtemp()
        for file in glob.glob(
                os.path.join(self.TEST_DATA_DIR, 'france_parts.*')):
            shutil.copy(os.path.join(self.TEST_DATA_DIR, file), tmppath)
        vectorFileInfo = QFileInfo(tmppath + "/france_parts.shp")
        mVectorLayer = QgsVectorLayer(vectorFileInfo.filePath(),
                                      vectorFileInfo.completeBaseName(), "ogr")

        QgsProject.instance().addMapLayers([mVectorLayer])
        self.layers = [mVectorLayer]

        # create layout with layout map

        # select epsg:2154
        crs = QgsCoordinateReferenceSystem()
        crs.createFromSrid(2154)
        QgsProject.instance().setCrs(crs)

        self.layout = QgsPrintLayout(QgsProject.instance())
        self.layout.initializeDefaults()

        # fix the renderer, fill with green
        props = {"color": "0,127,0", 'outline_color': 'black'}
        fillSymbol = QgsFillSymbol.createSimple(props)
        renderer = QgsSingleSymbolRenderer(fillSymbol)
        mVectorLayer.setRenderer(renderer)

        # the atlas map
        self.atlas_map = QgsLayoutItemMap(self.layout)
        self.atlas_map.attemptSetSceneRect(QRectF(20, 20, 130, 130))
        self.atlas_map.setFrameEnabled(True)
        self.atlas_map.setLayers([mVectorLayer])
        self.layout.addLayoutItem(self.atlas_map)

        # the atlas
        self.atlas = self.layout.atlas()
        self.atlas.setCoverageLayer(mVectorLayer)
        self.atlas.setEnabled(True)

        # an overview
        self.overview = QgsLayoutItemMap(self.layout)
        self.overview.attemptSetSceneRect(QRectF(180, 20, 50, 50))
        self.overview.setFrameEnabled(True)
        self.overview.overview().setLinkedMap(self.atlas_map)
        self.overview.setLayers([mVectorLayer])
        self.layout.addLayoutItem(self.overview)
        nextent = QgsRectangle(49670.718, 6415139.086, 699672.519, 7065140.887)
        self.overview.setExtent(nextent)

        # set the fill symbol of the overview map
        props2 = {"color": "127,0,0,127", 'outline_color': 'black'}
        fillSymbol2 = QgsFillSymbol.createSimple(props2)
        self.overview.overview().setFrameSymbol(fillSymbol2)

        # header label
        self.mLabel1 = QgsLayoutItemLabel(self.layout)
        self.layout.addLayoutItem(self.mLabel1)
        self.mLabel1.setText("[% \"NAME_1\" %] area")
        self.mLabel1.setFont(QgsFontUtils.getStandardTestFont())
        self.mLabel1.adjustSizeToText()
        self.mLabel1.attemptSetSceneRect(QRectF(150, 5, 60, 15))
        self.mLabel1.setMarginX(1)
        self.mLabel1.setMarginY(1)

        # feature number label
        self.mLabel2 = QgsLayoutItemLabel(self.layout)
        self.layout.addLayoutItem(self.mLabel2)
        self.mLabel2.setText(
            "# [%@atlas_featurenumber || ' / ' || @atlas_totalfeatures%]")
        self.mLabel2.setFont(QgsFontUtils.getStandardTestFont())
        self.mLabel2.adjustSizeToText()
        self.mLabel2.attemptSetSceneRect(QRectF(150, 200, 60, 15))
        self.mLabel2.setMarginX(1)
        self.mLabel2.setMarginY(1)

        self.filename_test()
        self.autoscale_render_test()
        self.fixedscale_render_test()
        self.predefinedscales_render_test()
        self.hidden_render_test()
        self.legend_test()
        self.rotation_test()

        shutil.rmtree(tmppath, True)
Exemplo n.º 29
0
    def run(self):
        """Run the impact function.

        :returns: A new line layer with inundated roads marked.
        :type: safe_layer
        """
        self.validate()
        self.prepare()

        self.provenance.append_step(
            'Calculating Step',
            'Impact function is calculating the impact.')

        # Thresholds for tsunami hazard zone breakdown.
        low_max = self.parameters['low_threshold'].value
        medium_max = self.parameters['medium_threshold'].value
        high_max = self.parameters['high_threshold'].value

        target_field = self.target_field
        # Get parameters from layer's keywords
        road_class_field = self.exposure.keyword('road_class_field')

        # reproject self.extent to the hazard projection
        hazard_crs = self.hazard.layer.crs()
        hazard_authid = hazard_crs.authid()

        if hazard_authid == 'EPSG:4326':
            viewport_extent = self.requested_extent
        else:
            geo_crs = QgsCoordinateReferenceSystem()
            geo_crs.createFromSrid(4326)
            viewport_extent = extent_to_geo_array(
                QgsRectangle(*self.requested_extent), geo_crs, hazard_crs)

        # Align raster extent and viewport
        # assuming they are both in the same projection
        raster_extent = self.hazard.layer.dataProvider().extent()
        clip_xmin = raster_extent.xMinimum()
        # clip_xmax = raster_extent.xMaximum()
        clip_ymin = raster_extent.yMinimum()
        # clip_ymax = raster_extent.yMaximum()
        if viewport_extent[0] > clip_xmin:
            clip_xmin = viewport_extent[0]
        if viewport_extent[1] > clip_ymin:
            clip_ymin = viewport_extent[1]

        height = ((viewport_extent[3] - viewport_extent[1]) /
                  self.hazard.layer.rasterUnitsPerPixelY())
        height = int(height)
        width = ((viewport_extent[2] - viewport_extent[0]) /
                 self.hazard.layer.rasterUnitsPerPixelX())
        width = int(width)

        raster_extent = self.hazard.layer.dataProvider().extent()
        xmin = raster_extent.xMinimum()
        xmax = raster_extent.xMaximum()
        ymin = raster_extent.yMinimum()
        ymax = raster_extent.yMaximum()

        x_delta = (xmax - xmin) / self.hazard.layer.width()
        x = xmin
        for i in range(self.hazard.layer.width()):
            if abs(x - clip_xmin) < x_delta:
                # We have found the aligned raster boundary
                break
            x += x_delta
            _ = i

        y_delta = (ymax - ymin) / self.hazard.layer.height()
        y = ymin
        for i in range(self.hazard.layer.width()):
            if abs(y - clip_ymin) < 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 hazard raster
        small_raster = clip_raster(
            self.hazard.layer, width, height, QgsRectangle(*clip_extent))

        # Create vector features from the flood raster
        # For each raster cell there is one rectangular polygon
        # Data also get spatially indexed for faster operation
        ranges = OrderedDict()
        ranges[0] = [0.0, 0.0]
        ranges[1] = [0.0, low_max]
        ranges[2] = [low_max, medium_max]
        ranges[3] = [medium_max, high_max]
        ranges[4] = [high_max, None]

        index, flood_cells_map = _raster_to_vector_cells(
            small_raster,
            ranges,
            self.exposure.layer.crs())

        # Filter geometry and data using the extent
        ct = QgsCoordinateTransform(
            QgsCoordinateReferenceSystem("EPSG:4326"),
            self.exposure.layer.crs())
        extent = ct.transformBoundingBox(QgsRectangle(*self.requested_extent))
        request = QgsFeatureRequest()
        request.setFilterRect(extent)

        """
        if len(low_max_flood_cells_map) == 0 and \
            len(medium_max_flood_cells_map) == 0 and \
            len(high_max_flood_cells_map) == 0 and \
            len(high_min_flood_cells_map) == 0:
            message = tr(
                'There are no objects in the hazard layer with "value" > 0. '
                'Please check the value or use other extent.' % (
                    threshold_min, ))
            raise GetDataError(message)
        """

        # create template for the output layer
        line_layer_tmp = create_layer(self.exposure.layer)
        new_field = QgsField(target_field, QVariant.Int)
        line_layer_tmp.dataProvider().addAttributes([new_field])
        line_layer_tmp.updateFields()

        # create empty output layer and load it
        filename = unique_filename(suffix='.shp')
        QgsVectorFileWriter.writeAsVectorFormat(
            line_layer_tmp, filename, "utf-8", None, "ESRI Shapefile")
        line_layer = QgsVectorLayer(filename, "flooded roads", "ogr")

        # Do the heavy work - for each road get flood polygon for that area and
        # do the intersection/difference to find out which parts are flooded
        _intersect_lines_with_vector_cells(
            self.exposure.layer,
            request,
            index,
            flood_cells_map,
            line_layer,
            target_field)

        target_field_index = line_layer.dataProvider().\
            fieldNameIndex(target_field)

        # Generate simple impact report
        epsg = get_utm_epsg(self.requested_extent[0], self.requested_extent[1])
        output_crs = QgsCoordinateReferenceSystem(epsg)
        transform = QgsCoordinateTransform(
            self.exposure.layer.crs(), output_crs)

        # Roads breakdown
        self.road_lengths = OrderedDict()
        self.affected_road_categories = self.hazard_classes
        # Impacted roads breakdown
        self.affected_road_lengths = OrderedDict([
            (self.hazard_classes[0], {}),
            (self.hazard_classes[1], {}),
            (self.hazard_classes[2], {}),
            (self.hazard_classes[3], {}),
            (self.hazard_classes[4], {}),
        ])

        if line_layer.featureCount() < 1:
            raise ZeroImpactException()

        roads_data = line_layer.getFeatures()
        road_type_field_index = line_layer.fieldNameIndex(road_class_field)
        for road in roads_data:
            attributes = road.attributes()
            affected = attributes[target_field_index]
            hazard_zone = self.hazard_classes[affected]
            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()

            if road_type not in self.road_lengths:
                self.road_lengths[road_type] = 0

            if hazard_zone not in self.affected_road_lengths:
                self.affected_road_lengths[hazard_zone] = {}

            if road_type not in self.affected_road_lengths[hazard_zone]:
                self.affected_road_lengths[hazard_zone][road_type] = 0

            self.road_lengths[road_type] += length
            num_classes = len(self.hazard_classes)
            if attributes[target_field_index] in range(num_classes):
                self.affected_road_lengths[hazard_zone][road_type] += length

        impact_summary = self.html_report()

        # For printing map purpose
        map_title = tr('Roads inundated')
        legend_title = tr('Road inundated status')

        style_classes = [
            # FIXME 0 - 0.1
            dict(
                label=self.hazard_classes[0] + ': 0m',
                value=0,
                colour='#00FF00',
                transparency=0,
                size=1
            ),
            dict(
                label=self.hazard_classes[1] + ': <0 - %.1f m' % low_max,
                value=1,
                colour='#FFFF00',
                transparency=0,
                size=1
            ),
            dict(
                label=self.hazard_classes[2] + ': %.1f - %.1f m' % (
                    low_max + 0.1, medium_max),
                value=2,
                colour='#FFB700',
                transparency=0,
                size=1
            ),
            dict(
                label=self.hazard_classes[3] + ': %.1f - %.1f m' % (
                    medium_max + 0.1, high_max),
                value=3,
                colour='#FF6F00',
                transparency=0,
                size=1
            ),

            dict(
                label=self.hazard_classes[4] + ' > %.1f m' % high_max,
                value=4,
                colour='#FF0000',
                transparency=0,
                size=1
            ),
        ]
        style_info = dict(
            target_field=target_field,
            style_classes=style_classes,
            style_type='categorizedSymbol')

        extra_keywords = {
            'impact_summary': impact_summary,
            'map_title': map_title,
            'legend_title': legend_title,
            'target_field': target_field
        }

        self.set_if_provenance()

        impact_layer_keywords = self.generate_impact_keywords(extra_keywords)

        # Convert QgsVectorLayer to inasafe layer and return it
        line_layer = Vector(
            data=line_layer,
            name=tr('Flooded roads'),
            keywords=impact_layer_keywords,
            style_info=style_info)
        self._impact = line_layer
        return line_layer
Exemplo n.º 30
0
    def testCase(self):
        self.TEST_DATA_DIR = unitTestDataPath()
        tmppath = tempfile.mkdtemp()
        for file in glob.glob(os.path.join(self.TEST_DATA_DIR, 'france_parts.*')):
            shutil.copy(os.path.join(self.TEST_DATA_DIR, file), tmppath)
        vectorFileInfo = QFileInfo(tmppath + "/france_parts.shp")
        mVectorLayer = QgsVectorLayer(vectorFileInfo.filePath(), vectorFileInfo.completeBaseName(), "ogr")

        QgsProject.instance().addMapLayers([mVectorLayer])
        self.layers = [mVectorLayer]

        # create composition with composer map

        # select epsg:2154
        crs = QgsCoordinateReferenceSystem()
        crs.createFromSrid(2154)
        QgsProject.instance().setCrs(crs)

        self.mComposition = QgsComposition(QgsProject.instance())
        self.mComposition.setPaperSize(297, 210)

        # fix the renderer, fill with green
        props = {"color": "0,127,0"}
        fillSymbol = QgsFillSymbol.createSimple(props)
        renderer = QgsSingleSymbolRenderer(fillSymbol)
        mVectorLayer.setRenderer(renderer)

        # the atlas map
        self.mAtlasMap = QgsComposerMap(self.mComposition, 20, 20, 130, 130)
        self.mAtlasMap.setFrameEnabled(True)
        self.mAtlasMap.setLayers([mVectorLayer])
        self.mComposition.addComposerMap(self.mAtlasMap)

        # the atlas
        self.mAtlas = self.mComposition.atlasComposition()
        self.mAtlas.setCoverageLayer(mVectorLayer)
        self.mAtlas.setEnabled(True)
        self.mComposition.setAtlasMode(QgsComposition.ExportAtlas)

        # an overview
        self.mOverview = QgsComposerMap(self.mComposition, 180, 20, 50, 50)
        self.mOverview.setFrameEnabled(True)
        self.mOverview.overview().setFrameMap(self.mAtlasMap.id())
        self.mOverview.setLayers([mVectorLayer])
        self.mComposition.addComposerMap(self.mOverview)
        nextent = QgsRectangle(49670.718, 6415139.086, 699672.519, 7065140.887)
        self.mOverview.setNewExtent(nextent)

        # set the fill symbol of the overview map
        props2 = {"color": "127,0,0,127"}
        fillSymbol2 = QgsFillSymbol.createSimple(props2)
        self.mOverview.overview().setFrameSymbol(fillSymbol2)

        # header label
        self.mLabel1 = QgsComposerLabel(self.mComposition)
        self.mComposition.addComposerLabel(self.mLabel1)
        self.mLabel1.setText("[% \"NAME_1\" %] area")
        self.mLabel1.setFont(QgsFontUtils.getStandardTestFont())
        self.mLabel1.adjustSizeToText()
        self.mLabel1.setSceneRect(QRectF(150, 5, 60, 15))

        qWarning(
            "header label font: %s exactMatch:%s" % (self.mLabel1.font().toString(), self.mLabel1.font().exactMatch()))

        # feature number label
        self.mLabel2 = QgsComposerLabel(self.mComposition)
        self.mComposition.addComposerLabel(self.mLabel2)
        self.mLabel2.setText("# [%@atlas_featurenumber || ' / ' || @atlas_totalfeatures%]")
        self.mLabel2.setFont(QgsFontUtils.getStandardTestFont())
        self.mLabel2.adjustSizeToText()
        self.mLabel2.setSceneRect(QRectF(150, 200, 60, 15))

        qWarning("feature number label font: %s exactMatch:%s" % (
                 self.mLabel2.font().toString(), self.mLabel2.font().exactMatch()))

        self.filename_test()
        self.autoscale_render_test()
        self.fixedscale_render_test()
        self.predefinedscales_render_test()
        self.hidden_render_test()
        self.legend_test()

        shutil.rmtree(tmppath, True)
Exemplo n.º 31
0
    def render(self, params):
        self.check_required_params(params)

        with change_directory(self.project_root):

            crs = QgsCoordinateReferenceSystem()
            crs.createFromSrid(params.get('srs'))

            img = QImage(
                QSize(*params.get('image_size')),
                QImage.Format_ARGB32_Premultiplied
            )
            dpm = 1 / 0.00028
            img.setDotsPerMeterX(dpm)
            img.setDotsPerMeterY(dpm)

            # set background color
            bgcolor = params.get('bgcolor')
            if params.get('transparent'):
                # fully transparent
                bgcolor.append(0)
            else:
                # fully opaque
                bgcolor.append(255)

            color = QColor(*bgcolor)
            img.fill(color)

            map_settings = QgsMapSettings()
            map_settings.setBackgroundColor(color)
            map_settings.setDestinationCrs(crs)
            map_settings.setCrsTransformEnabled(True)
            map_settings.setExtent(QgsRectangle(*params.get('bbox')))
            map_settings.setOutputDpi(img.logicalDpiX())
            map_settings.setOutputSize(img.size())
            map_settings.setMapUnits(crs.mapUnits())

            layers = params.get('layers')
            self.setTransparencies(layers, params.get('transparencies'))

            map_settings.setLayers(layers)

            p = QPainter()
            p.begin(img)

            job = QgsMapRendererCustomPainterJob(map_settings, p)
            job.start()
            job.waitForFinished()

            map_buffer = QBuffer()
            map_buffer.open(QIODevice.ReadWrite)

            if params.get('image_format') == 'jpeg':
                img.save(map_buffer, 'JPEG')
            elif params.get('image_format') == 'png8':
                png8 = img.convertToFormat(QImage.Format_Indexed8)
                png8.save(map_buffer, "PNG")
            else:
                img.save(map_buffer, 'PNG')

            # clean up
            p.end()
            map_buffer.close()
            return map_buffer.data()
Exemplo n.º 32
0
from PyQt5.QtCore import Qt, pyqtSignal, QThread
from PyQt5.QtGui import QCursor
from qgis.core import (QgsCoordinateTransform, QgsCoordinateTransformContext,
                       QgsFeature, QgsPoint, QgsCoordinateReferenceSystem)
from qgis.gui import QgsMapToolEmitPoint

from .res import resources

CRS_2180 = QgsCoordinateReferenceSystem()
CRS_2180.createFromSrid(2180)


class MapPointSearch(QgsMapToolEmitPoint):

    # search_started = pyqtSignal()
    # found = pyqtSignal(QgsFeature)
    # not_found = pyqtSignal(Exception)
    # search_finished = pyqtSignal()

    def __init__(self, parent, uldk_api, result_collector):
        self.parent = parent
        self.iface = parent.iface
        self.canvas = parent.canvas
        super(QgsMapToolEmitPoint, self).__init__(self.canvas)
        self.canvasClicked.connect(self.__search)

        self.uldk_api = uldk_api
        self.result_collector = result_collector

        self.search_in_progress = False
Exemplo n.º 33
0
    def newEntranceLayer(self):

        vl = QgsVectorLayer("Point?crs=", "memory:Entrances", "memory")

        provider = vl.dataProvider()
        provider.addAttributes([
            QgsField(EntranceTool.id_attribute, QVariant.Int),
            QgsField(EntranceTool.category_attribute, QVariant.String),
            QgsField(EntranceTool.subcat_attribute, QVariant.String),
            QgsField(EntranceTool.level_attribute, QVariant.Double)
        ])
        if vl.crs().toWkt() == "":
            vl.setCrs(QgsProject.instance().crs())
        vl.updateFields()
        if self.entrancedlg.e_shp_radioButton.isChecked(
        ):  # layer_type == 'shapefile':

            path = self.entrancedlg.lineEditEntrances.text()
            if path and path != '':
                filename = os.path.basename(path)
                location = os.path.abspath(path)
                crs = QgsCoordinateReferenceSystem()
                crs.createFromSrid(3857)
                shph.createShapeFile(vl, path, crs)
                vl = self.iface.addVectorLayer(location, filename[:-4], "ogr")
            else:
                vl = 'invalid data source'

        elif self.entrancedlg.e_postgis_radioButton.isChecked():

            db_path = self.entrancedlg.lineEditEntrances.text()
            if db_path and db_path != '':

                (database, schema, table_name) = db_path.split(':')
                db_con_info = self.entrancedlg.dbsettings_dlg.available_dbs[
                    database]
                uri = QgsDataSourceUri()
                # passwords, usernames need to be empty if not provided or else connection will fail
                if 'service' in list(db_con_info.keys()):
                    uri.setConnection(db_con_info['service'], '', '', '')
                elif 'password' in list(db_con_info.keys()):
                    uri.setConnection(db_con_info['host'], db_con_info['port'],
                                      db_con_info['dbname'],
                                      db_con_info['user'],
                                      db_con_info['password'])
                else:
                    print(db_con_info)  # db_con_info['host']
                    uri.setConnection('', db_con_info['port'],
                                      db_con_info['dbname'], '', '')
                uri.setDataSource(schema, table_name, "geom")
                error = QgsVectorLayerExporter.exportLayer(
                    vl, uri.uri(), "postgres", vl.crs())
                if error[0] != QgsVectorLayerExporter.NoError:
                    print("Error when creating postgis layer: ", error[1])
                    vl = 'duplicate'
                else:
                    vl = QgsVectorLayer(uri.uri(), table_name, "postgres")
            else:
                vl = 'invalid data source'

        if vl == 'invalid data source':
            msgBar = self.iface.messageBar()
            msg = msgBar.createMessage(u'Specify output path!')
            msgBar.pushWidget(msg, Qgis.Info, 10)
        elif vl == 'duplicate':
            msgBar = self.iface.messageBar()
            msg = msgBar.createMessage(u'Fronatges layer already exists!')
            msgBar.pushWidget(msg, Qgis.Info, 10)
        elif not vl:
            msgBar = self.iface.messageBar()
            msg = msgBar.createMessage(u'Entrance layer failed to load!')
            msgBar.pushWidget(msg, Qgis.Info, 10)

        else:
            QgsProject.instance().addMapLayer(vl)
            msgBar = self.iface.messageBar()
            msg = msgBar.createMessage(u'Entrances layer created!')
            msgBar.pushWidget(msg, Qgis.Info, 10)
            vl.startEditing()

        self.updateEntranceLayer()
        self.entrancedlg.closePopUpEntrances()
    def run(self, layers):
        """Experimental impact function.

        :param layers: List of layers expected to contain at least:
            H: Polygon layer of inundation areas
            E: Vector layer of roads
        :type layers: list

        :returns: A new line layer with inundated roads marked.
        :type: safe_layer
        """
        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()

        #reproject self.extent to the hazard projection
        hazard_crs = H.crs()
        hazard_authid = hazard_crs.authid()

        if hazard_authid == 'EPSG:4326':
            viewport_extent = self.extent
        else:
            geo_crs = QgsCoordinateReferenceSystem()
            geo_crs.createFromSrid(4326)
            viewport_extent = extent_to_geo_array(
                QgsRectangle(*self.extent), geo_crs, hazard_crs)

        #Align raster extent and viewport
        #assuming they are both in the same projection
        raster_extent = H.dataProvider().extent()
        clip_xmin = raster_extent.xMinimum()
        # clip_xmax = raster_extent.xMaximum()
        clip_ymin = raster_extent.yMinimum()
        # clip_ymax = raster_extent.yMaximum()
        if viewport_extent[0] > clip_xmin:
            clip_xmin = viewport_extent[0]
        if viewport_extent[1] > clip_ymin:
            clip_ymin = viewport_extent[1]
        # TODO: Why have these two clauses when they are not used?
        # Commenting out for now.
        # if viewport_extent[2] < clip_xmax:
        #     clip_xmax = viewport_extent[2]
        # if viewport_extent[3] < clip_ymax:
        #     clip_ymax = viewport_extent[3]

        height = ((viewport_extent[3] - viewport_extent[1]) /
                  H.rasterUnitsPerPixelY())
        height = int(height)
        width = ((viewport_extent[2] - viewport_extent[0]) /
                 H.rasterUnitsPerPixelX())
        width = int(width)

        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 - clip_xmin) < 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 - clip_ymin) < 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_inside, flooded_polygon_outside) = polygonize_gdal(
            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_inside 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)

        #reproject the flood polygons to exposure projection
        exposure_crs = E.crs()
        exposure_authid = exposure_crs.authid()

        if hazard_authid != exposure_authid:
            flooded_polygon_inside = reproject_vector_layer(
                flooded_polygon_inside, E.crs())
            flooded_polygon_outside = reproject_vector_layer(
                flooded_polygon_outside, E.crs())

        # Clip exposure by the extent
        #extent_as_polygon = QgsGeometry().fromRect(extent)
        #no need to clip since It is using a bbox request
        #line_layer = clip_by_polygon(
        #    E,
        #    extent_as_polygon
        #)
        # Find inundated roads, mark them
        line_layer = split_by_polygon_in_out(
            E,
            flooded_polygon_inside,
            flooded_polygon_outside,
            target_field, 1, request)

        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
Exemplo n.º 35
0
def _clip_vector_layer(layer,
                       extent,
                       extra_keywords=None,
                       explode_flag=True,
                       hard_clip_flag=False,
                       explode_attribute=None):
    """Clip a Hazard or Exposure layer to the extents provided.

    The layer must be a vector layer or an exception will be thrown.

    The output layer will always be in WGS84/Geographic.

    :param layer: A valid QGIS vector or raster layer
    :type layer:

    :param extent: Either an array representing the exposure layer extents
        in the form [xmin, ymin, xmax, ymax]. It is assumed that the
        coordinates are in EPSG:4326 although currently no checks are made to
        enforce this.
        or:
        A QgsGeometry of type polygon.
        **Polygon clipping is currently only supported for vector datasets.**
    :type extent: list(float, float, float, float)

    :param extra_keywords: Optional keywords dictionary to be added to
        output layer.
    :type extra_keywords: dict

    :param explode_flag: A bool specifying whether multipart features
        should be 'exploded' into singleparts.
        **This parameter is ignored for raster layer clipping.**
    :type explode_flag: bool

    :param hard_clip_flag: A bool specifying whether line and polygon
        features that extend beyond the extents should be clipped such that
        they are reduced in size to the part of the geometry that intersects
        the extent only. Default is False.
        **This parameter is ignored for raster layer clipping.**
    :type hard_clip_flag: bool

    :param explode_attribute: A str specifying to which attribute #1,
        #2 and so on will be added in case of explode_flag being true. The
        attribute is modified only if there are at least 2 parts.
    :type explode_attribute: str

    :returns: Clipped layer (placed in the system temp dir). The output layer
        will be reprojected to EPSG:4326 if needed.
    :rtype: QgsVectorLayer

    """
    if not layer or not extent:
        message = tr('Layer or Extent passed to clip is None.')
        raise InvalidParameterError(message)

    if layer.type() != QgsMapLayer.VectorLayer:
        message = tr('Expected a vector layer but received a %s.' %
                     str(layer.type()))
        raise InvalidParameterError(message)

    #handle, file_name = tempfile.mkstemp('.sqlite', 'clip_',
    #    temp_dir())
    handle, file_name = tempfile.mkstemp('.shp', 'clip_', temp_dir())

    # Ensure the file is deleted before we try to write to it
    # fixes windows specific issue where you get a message like this
    # ERROR 1: c:\temp\inasafe\clip_jpxjnt.shp is not a directory.
    # This is because mkstemp creates the file handle and leaves
    # the file open.
    os.close(handle)
    os.remove(file_name)

    # Get the clip extents in the layer's native CRS
    geo_crs = QgsCoordinateReferenceSystem()
    geo_crs.createFromSrid(4326)
    transform = QgsCoordinateTransform(geo_crs, layer.crs())
    allowed_clip_values = [QGis.WKBPolygon, QGis.WKBPolygon25D]
    if type(extent) is list:
        rectangle = QgsRectangle(extent[0], extent[1], extent[2], extent[3])
        # noinspection PyCallByClass
        #noinspection PyTypeChecker
        polygon = QgsGeometry.fromRect(rectangle)
    elif (type(extent) is QgsGeometry
          and extent.wkbType in allowed_clip_values):
        rectangle = extent.boundingBox().toRectF()
        polygon = extent
    else:
        raise InvalidClipGeometryError(
            tr('Clip geometry must be an extent or a single part'
               'polygon based geometry.'))

    projected_extent = transform.transformBoundingBox(rectangle)

    # Get vector layer
    provider = layer.dataProvider()
    if provider is None:
        message = tr('Could not obtain data provider from '
                     'layer "%s"' % layer.source())
        raise Exception(message)

    # Get the layer field list, select by our extent then write to disk
    # .. todo:: FIXME - for different geometry types we should implement
    #    different clipping behaviour e.g. reject polygons that
    #    intersect the edge of the bbox. Tim
    request = QgsFeatureRequest()
    if not projected_extent.isEmpty():
        request.setFilterRect(projected_extent)
        request.setFlags(QgsFeatureRequest.ExactIntersect)

    field_list = provider.fields()

    writer = QgsVectorFileWriter(
        file_name,
        'UTF-8',
        field_list,
        layer.wkbType(),
        geo_crs,
        #'SQLite')  # FIXME (Ole): This works but is far too slow
        'ESRI Shapefile')
    if writer.hasError() != QgsVectorFileWriter.NoError:
        message = tr('Error when creating shapefile: <br>Filename:'
                     '%s<br>Error: %s' % (file_name, writer.hasError()))
        raise Exception(message)

    # Reverse the coordinate xform now so that we can convert
    # geometries from layer crs to geocrs.
    transform = QgsCoordinateTransform(layer.crs(), geo_crs)
    # Retrieve every feature with its geometry and attributes
    count = 0
    has_multipart = False

    for feature in provider.getFeatures(request):
        geometry = feature.geometry()

        # Loop through the parts adding them to the output file
        # we write out single part features unless explode_flag is False
        if explode_flag:
            geometry_list = explode_multipart_geometry(geometry)
        else:
            geometry_list = [geometry]

        for part_index, part in enumerate(geometry_list):
            part.transform(transform)
            if hard_clip_flag:
                # Remove any dangling bits so only intersecting area is
                # kept.
                part = clip_geometry(polygon, part)
            if part is None:
                continue

            feature.setGeometry(part)
            # There are multiple parts and we want to show it in the
            # explode_attribute
            if part_index > 0 and explode_attribute is not None:
                has_multipart = True

            writer.addFeature(feature)
        count += 1
    del writer  # Flush to disk

    if count < 1:
        message = tr(
            'No features fall within the clip extents. Try panning / zooming '
            'to an area containing data and then try to run your analysis '
            'again. If hazard and exposure data doesn\'t overlap at all, it '
            'is not possible to do an analysis. Another possibility is that '
            'the layers do overlap but because they may have different '
            'spatial references, they appear to be disjointed. If this is the '
            'case, try to turn on reproject on-the-fly in QGIS.')
        raise NoFeaturesInExtentError(message)

    keyword_io = KeywordIO()
    if extra_keywords is None:
        extra_keywords = {}
    extra_keywords['had multipart polygon'] = has_multipart
    keyword_io.copy_keywords(layer, file_name, extra_keywords=extra_keywords)
    base_name = '%s clipped' % layer.name()
    layer = QgsVectorLayer(file_name, base_name, 'ogr')

    return layer
Exemplo n.º 36
0
    def testCase(self):
        self.TEST_DATA_DIR = unitTestDataPath()
        vectorFileInfo = QFileInfo( self.TEST_DATA_DIR + "/france_parts.shp")
        mVectorLayer = QgsVectorLayer( vectorFileInfo.filePath(), vectorFileInfo.completeBaseName(), "ogr" )

        QgsMapLayerRegistry.instance().addMapLayers( [mVectorLayer] )

        # create composition with composer map
        mMapRenderer = QgsMapRenderer()
        layerStringList = []
        layerStringList.append( mVectorLayer.id() )
        mMapRenderer.setLayerSet( layerStringList )
        mMapRenderer.setProjectionsEnabled( True )
        mMapRenderer.setMapUnits( QGis.Meters )

        # select epsg:2154
        crs = QgsCoordinateReferenceSystem()
        crs.createFromSrid( 2154 )
        mMapRenderer.setDestinationCrs( crs )

        self.mComposition = QgsComposition( mMapRenderer )
        self.mComposition.setPaperSize( 297, 210 )

        # fix the renderer, fill with green
        props = { "color": "0,127,0" }
        fillSymbol = QgsFillSymbolV2.createSimple( props )
        renderer = QgsSingleSymbolRendererV2( fillSymbol )
        mVectorLayer.setRendererV2( renderer )

        # the atlas map
        self.mAtlasMap = QgsComposerMap( self.mComposition, 20, 20, 130, 130 )
        self.mAtlasMap.setFrameEnabled( True )
        self.mComposition.addComposerMap( self.mAtlasMap )

        # the atlas
        self.mAtlas = self.mComposition.atlasComposition()
        self.mAtlas.setCoverageLayer( mVectorLayer )
        self.mAtlas.setEnabled( True )
        self.mComposition.setAtlasMode( QgsComposition.ExportAtlas )

        # an overview
        mOverview = QgsComposerMap( self.mComposition, 180, 20, 50, 50 )
        mOverview.setFrameEnabled( True )
        mOverview.setOverviewFrameMap( self.mAtlasMap.id() )
        self.mComposition.addComposerMap( mOverview )
        nextent = QgsRectangle( 49670.718, 6415139.086, 699672.519, 7065140.887 )
        mOverview.setNewExtent( nextent )

        # set the fill symbol of the overview map
        props2 = { "color": "127,0,0,127" }
        fillSymbol2 = QgsFillSymbolV2.createSimple( props2 )
        mOverview.setOverviewFrameMapSymbol( fillSymbol2 )

        # header label
        self.mLabel1 = QgsComposerLabel( self.mComposition )
        self.mComposition.addComposerLabel( self.mLabel1 )
        self.mLabel1.setText( "[% \"NAME_1\" %] area" )
        self.mLabel1.setFont( QgsFontUtils.getStandardTestFont() )
        self.mLabel1.adjustSizeToText()
        self.mLabel1.setSceneRect( QRectF( 150, 5, 60, 15 ) )

        qWarning( "header label font: %s exactMatch:%s" % ( self.mLabel1.font().toString(), self.mLabel1.font().exactMatch() ) )

        # feature number label
        self.mLabel2 = QgsComposerLabel( self.mComposition )
        self.mComposition.addComposerLabel( self.mLabel2 )
        self.mLabel2.setText( "# [%$feature || ' / ' || $numfeatures%]" )
        self.mLabel2.setFont( QgsFontUtils.getStandardTestFont() )
        self.mLabel2.adjustSizeToText()
        self.mLabel2.setSceneRect( QRectF( 150, 200, 60, 15 ) )

        qWarning( "feature number label font: %s exactMatch:%s" % ( self.mLabel2.font().toString(), self.mLabel2.font().exactMatch() ) )

        self.filename_test()
        self.autoscale_render_test()
        self.autoscale_render_test_old_api()
        self.fixedscale_render_test()
        self.predefinedscales_render_test()
        self.hidden_render_test()
Exemplo n.º 37
0
    def run(self):
        """Run the impact function.

        :returns: A new line layer with inundated roads marked.
        :type: safe_layer
        """

        target_field = self.target_field

        # Get parameters from layer's keywords
        road_class_field = self.exposure.keyword('road_class_field')
        exposure_value_mapping = self.exposure.keyword('value_mapping')

        # Get parameters from IF parameter
        threshold_min = self.parameters['min threshold'].value
        threshold_max = self.parameters['max threshold'].value

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

        # reproject self.extent to the hazard projection
        hazard_crs = self.hazard.layer.crs()
        hazard_authid = hazard_crs.authid()

        if hazard_authid == 'EPSG:4326':
            viewport_extent = self.requested_extent
        else:
            geo_crs = QgsCoordinateReferenceSystem()
            geo_crs.createFromSrid(4326)
            viewport_extent = extent_to_geo_array(
                QgsRectangle(*self.requested_extent), geo_crs, hazard_crs)

        # Clip hazard raster
        small_raster = align_clip_raster(self.hazard.layer, viewport_extent)

        # Filter geometry and data using the extent
        ct = QgsCoordinateTransform(
            QgsCoordinateReferenceSystem("EPSG:4326"),
            self.exposure.layer.crs())
        extent = ct.transformBoundingBox(QgsRectangle(*self.requested_extent))
        request = QgsFeatureRequest()
        request.setFilterRect(extent)

        # create template for the output layer
        line_layer_tmp = create_layer(self.exposure.layer)
        new_field = QgsField(target_field, QVariant.Int)
        line_layer_tmp.dataProvider().addAttributes([new_field])
        line_layer_tmp.updateFields()

        # create empty output layer and load it
        filename = unique_filename(suffix='.shp')
        QgsVectorFileWriter.writeAsVectorFormat(
            line_layer_tmp, filename, "utf-8", None, "ESRI Shapefile")
        line_layer = QgsVectorLayer(filename, "flooded roads", "ogr")

        # Create vector features from the flood raster
        # For each raster cell there is one rectangular polygon
        # Data also get spatially indexed for faster operation
        index, flood_cells_map = _raster_to_vector_cells(
            small_raster,
            threshold_min,
            threshold_max,
            self.exposure.layer.crs())

        if len(flood_cells_map) == 0:
            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)

        # Do the heavy work - for each road get flood polygon for that area and
        # do the intersection/difference to find out which parts are flooded
        _intersect_lines_with_vector_cells(
            self.exposure.layer,
            request,
            index,
            flood_cells_map,
            line_layer,
            target_field)

        target_field_index = line_layer.dataProvider().\
            fieldNameIndex(target_field)

        # Generate simple impact report
        epsg = get_utm_epsg(self.requested_extent[0], self.requested_extent[1])
        output_crs = QgsCoordinateReferenceSystem(epsg)
        transform = QgsCoordinateTransform(
            self.exposure.layer.crs(), output_crs)

        classes = [tr('Flooded in the threshold (m)')]
        self.init_report_var(classes)

        if line_layer.featureCount() < 1:
            raise ZeroImpactException()

        roads_data = line_layer.getFeatures()
        road_type_field_index = line_layer.fieldNameIndex(road_class_field)

        for road in roads_data:
            attributes = road.attributes()

            usage = attributes[road_type_field_index]
            usage = main_type(usage, exposure_value_mapping)

            geom = road.geometry()
            geom.transform(transform)
            length = geom.length()

            affected = False
            if attributes[target_field_index] == 1:
                affected = True

            self.classify_feature(classes[0], usage, length, affected)

        self.reorder_dictionaries()

        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')

        impact_data = self.generate_data()

        extra_keywords = {
            'map_title': self.metadata().key('map_title'),
            'legend_title': self.metadata().key('legend_title'),
            'target_field': target_field
        }

        impact_layer_keywords = self.generate_impact_keywords(extra_keywords)

        # Convert QgsVectorLayer to inasafe layer and return it
        impact_layer = Vector(
            data=line_layer,
            name=self.metadata().key('layer_name'),
            keywords=impact_layer_keywords,
            style_info=style_info)

        impact_layer.impact_data = impact_data
        self._impact = impact_layer
        return impact_layer
Exemplo n.º 38
0
    def print_map(self, tav_num):
        self.tav_num = tav_num

        p = QgsProject.instance()
        crs = QgsCoordinateReferenceSystem()
        crs.createFromSrid(self.SRS)
        p.setCrs(crs)

        l = QgsLayout(p)
        l.initializeDefaults()
        page = l.pageCollection().page(0)

        # map - this item tells the libraries where to put the map itself. Here we create a map and stretch it over the whole paper size:
        x, y = 0, 0  # angolo 0, o in alto a sx

        if (0 <= self.width <= 297) and (0 <= self.height <= 210):
            width, height = 297, 210  # Formato A4 Landscape
        elif (0 <= self.height <= 297) and (0 <= self.width <= 210):
            width, height = 210, 297  # Formato A4

        elif (0 <= self.width <= 420) and (0 <= self.height <= 297):
            width, height = 297, 420  # Formato A3 Landscape
        elif (0 <= self.height <= 420) and (0 <= self.width <= 297):
            width, height = 240, 297  # Formato A4

        elif (0 <= self.width <= 1189) and (0 <= self.height <= 841):
            width, height = 1189, 841  # Formato A0 Landscape
        elif (0 <= self.height <= 1189) and (0 <= self.width <= 841):
            width, height = 841, 1189  # Formato A0
        else:
            width, height = self.width * 1.2, self.height * 1.2  # self.width*10, self.height*10 da un valore alla larghezza e altezza del foglio aumentato di 5 per dare un margine

        size = QgsLayoutSize(width, height)
        page.setPageSize(size)

        map = QgsLayoutItemMap(l)

        rect = self.getMapExtentFromMapCanvas(page.pageSize().width(),
                                              page.pageSize().height(), 20.0)

        map.attemptSetSceneRect(
            QRectF(0, 0,
                   page.pageSize().width(),
                   page.pageSize().height()))
        map.setExtent(rect)
        map.setLayers([self.layerUS])
        l.setReferenceMap(map)
        l.addLayoutItem(map)

        intestazioneLabel = QgsLayoutItemLabel(l)
        txt = "Tavola %s - US:%d" % (self.tav_num + 1, self.us)
        intestazioneLabel.setText(txt)
        intestazioneLabel.adjustSizeToText()
        intestazioneLabel.attemptMove(QgsLayoutPoint(1, 0), page=0)
        intestazioneLabel.setFrameEnabled(False)
        l.addLayoutItem(intestazioneLabel)

        scaleLabel = QgsLayoutItemLabel(l)
        txt = "Scala: "
        scaleLabel.setText(txt)
        scaleLabel.adjustSizeToText()
        scaleLabel.attemptMove(QgsLayoutPoint(1, 5), page=0)
        scaleLabel.setFrameEnabled(False)
        l.addLayoutItem(scaleLabel)

        # aggiunge la scale bar
        scaleBarItem = QgsLayoutItemScaleBar(l)
        scaleBarItem.setStyle('Numeric')  # optionally modify the style
        scaleBarItem.setLinkedMap(map)
        scaleBarItem.applyDefaultSize()
        scaleBarItem.attemptMove(QgsLayoutPoint(10, 5), page=0)
        scaleBarItem.setFrameEnabled(False)
        l.addLayoutItem(scaleBarItem)

        le = QgsLayoutExporter(l)
        settings = QgsLayoutExporter.ImageExportSettings()
        settings.dpi = 100

        MAPS_path = '{}{}{}'.format(self.HOME, os.sep,
                                    "pyarchinit_MAPS_folder")
        tav_name = "Tavola_{}_us_{}.png".format(self.tav_num + 1, self.us)
        filename_png = '{}{}{}'.format(MAPS_path, os.sep, tav_name)

        le.exportToImage(filename_png, settings)

        self.remove_layer()
Exemplo n.º 39
0
    def processAlgorithm(self, parameters, context, feedback):

        pasta = self.parameterAsFile(parameters, self.FOLDER, context)
        if not pasta:
            raise QgsProcessingException(
                self.invalidSourceError(parameters, self.FOLDER))

        fotos_nao_geo = self.parameterAsFile(parameters, self.NONGEO, context)

        lista = os.listdir(pasta)
        tam = len(lista)
        copy_ngeo = False
        if os.path.isdir(fotos_nao_geo):
            copy_ngeo = True

        # Funcao para transformar os dados do EXIF em coordenadas em graus decimais
        def coordenadas(exif):
            try:
                ref_lat = exif['GPSInfo'][1][0]
                ref_lon = exif['GPSInfo'][3][0]
                sinal_lat, sinal_lon = 0, 0
                if ref_lat == 'S':
                    sinal_lat = -1
                elif ref_lat == 'N':
                    sinal_lat = 1
                if ref_lon == 'W':
                    sinal_lon = -1
                elif ref_lon == 'E':
                    sinal_lon = 1
                grausLat, grausLon = exif['GPSInfo'][2][0][0], exif['GPSInfo'][
                    4][0][0]
                minLat, minLon = exif['GPSInfo'][2][1][0], exif['GPSInfo'][4][
                    1][0]
                segLat = exif['GPSInfo'][2][2][0] / float(
                    exif['GPSInfo'][2][2][1])
                segLon = exif['GPSInfo'][4][2][0] / float(
                    exif['GPSInfo'][4][2][1])
                if sinal_lat != 0 and sinal_lon != 0:
                    lat = sinal_lat * (float(grausLat) + minLat / 60.0 +
                                       segLat / 3600.0)
                    lon = sinal_lon * (float(grausLon) + minLon / 60.0 +
                                       segLon / 3600.0)
                return lat, lon
            except:
                return 0, 0

        # Funcao para pegar Azimute
        def azimute(exif):
            Az = exif['GPSInfo'][17]
            if isinstance(Az, tuple):
                Az = Az[0] / float(Az[1])
                return Az
            else:
                return Az

        # Funcao para gerar o padrao data-hora
        def data_hora(texto):
            data_hora = texto.replace(' ', ':')
            data_hora = data_hora.split(':')
            ano = int(data_hora[0])
            mes = int(data_hora[1])
            dia = int(data_hora[2])
            hora = int(data_hora[3])
            minuto = int(data_hora[4])
            segundo = int(data_hora[5])
            data_hora = unicode(
                datetime.datetime(ano, mes, dia, hora, minuto, segundo))
            return data_hora

        # Criando Output
        crs = QgsCoordinateReferenceSystem()
        crs.createFromSrid(4326)
        fields = QgsFields()
        fields.append(QgsField(self.tr('name', 'nome'), QVariant.String))
        fields.append(QgsField(self.tr('azimuth', 'azimute'), QVariant.Int))
        fields.append(
            QgsField(self.tr('date_time', 'data_hora'), QVariant.String))
        fields.append(QgsField(self.tr('path', 'caminho'), QVariant.String))

        (sink, dest_id) = self.parameterAsSink(parameters, self.OUTPUT,
                                               context, fields,
                                               QgsWkbTypes.Point, crs)
        if sink is None:
            raise QgsProcessingException(
                self.invalidSinkError(parameters, self.OUTPUT))

        Percent = 100.0 / tam if tam != 0 else 0
        for index, arquivo in enumerate(lista):
            if (arquivo).lower().endswith(('.jpg', '.jpeg')):
                img = PIL.Image.open(os.path.join(pasta, arquivo))
                if img._getexif():
                    exif = {
                        PIL.ExifTags.TAGS[k]: v
                        for k, v in img._getexif().items()
                        if k in PIL.ExifTags.TAGS
                    }
                else:
                    exif = {}
                lon, lat = 0, 0
                Az = None
                date_time = None
                if 'GPSInfo' in exif:
                    lat, lon = coordenadas(exif)
                    if 17 in exif['GPSInfo']:
                        Az = azimute(exif)
                if 'DateTimeOriginal' in exif:
                    date_time = data_hora(exif['DateTimeOriginal'])
                elif 'DateTime' in exif:
                    date_time = data_hora(exif['DateTime'])
                if lon != 0:
                    feature = QgsFeature(fields)
                    feature.setGeometry(
                        QgsGeometry.fromPointXY(QgsPointXY(lon, lat)))
                    feature.setAttributes(
                        [arquivo, Az, date_time,
                         os.path.join(pasta, arquivo)])
                    sink.addFeature(feature, QgsFeatureSink.FastInsert)
                else:
                    print()
                    feedback.pushInfo(
                        self.tr(
                            'The file "{}" has no geotag!'.format(arquivo),
                            'A imagem "{}" não possui geotag!'.format(
                                arquivo)))
                    if copy_ngeo:
                        shutil.copy2(os.path.join(pasta, arquivo),
                                     os.path.join(fotos_nao_geo, arquivo))
            if feedback.isCanceled():
                break
            feedback.setProgress(int((index + 1) * Percent))

        feedback.pushInfo(
            self.tr('Operation completed successfully!',
                    'Operação finalizada com sucesso!'))
        feedback.pushInfo(
            self.tr('Leandro Franca - Cartographic Engineer',
                    'Leandro França - Eng Cart'))

        return {self.OUTPUT: dest_id}
Exemplo n.º 40
0
    def run(self):
        """Run the impact function.

        :returns: A new line layer with inundated roads marked.
        :type: safe_layer
        """
        # Thresholds for tsunami hazard zone breakdown.
        low_max = self.parameters['low_threshold'].value
        medium_max = self.parameters['medium_threshold'].value
        high_max = self.parameters['high_threshold'].value

        target_field = self.target_field
        # Get parameters from layer's keywords
        road_class_field = self.exposure.keyword('road_class_field')
        exposure_value_mapping = self.exposure.keyword('value_mapping')

        # reproject self.extent to the hazard projection
        hazard_crs = self.hazard.layer.crs()
        hazard_authid = hazard_crs.authid()

        if hazard_authid == 'EPSG:4326':
            viewport_extent = self.requested_extent
        else:
            geo_crs = QgsCoordinateReferenceSystem()
            geo_crs.createFromSrid(4326)
            viewport_extent = extent_to_geo_array(
                QgsRectangle(*self.requested_extent), geo_crs, hazard_crs)

        # Clip hazard raster
        small_raster = align_clip_raster(self.hazard.layer, viewport_extent)

        # Create vector features from the flood raster
        # For each raster cell there is one rectangular polygon
        # Data also get spatially indexed for faster operation
        ranges = ranges_according_thresholds(low_max, medium_max, high_max)

        index, flood_cells_map = _raster_to_vector_cells(
            small_raster,
            ranges,
            self.exposure.layer.crs())

        # Filter geometry and data using the extent
        ct = QgsCoordinateTransform(
            QgsCoordinateReferenceSystem("EPSG:4326"),
            self.exposure.layer.crs())
        extent = ct.transformBoundingBox(QgsRectangle(*self.requested_extent))
        request = QgsFeatureRequest()
        request.setFilterRect(extent)

        # create template for the output layer
        line_layer_tmp = create_layer(self.exposure.layer)
        new_field = QgsField(target_field, QVariant.Int)
        line_layer_tmp.dataProvider().addAttributes([new_field])
        line_layer_tmp.updateFields()

        # create empty output layer and load it
        filename = unique_filename(suffix='.shp')
        QgsVectorFileWriter.writeAsVectorFormat(
            line_layer_tmp, filename, "utf-8", None, "ESRI Shapefile")
        line_layer = QgsVectorLayer(filename, "flooded roads", "ogr")

        # Do the heavy work - for each road get flood polygon for that area and
        # do the intersection/difference to find out which parts are flooded
        _intersect_lines_with_vector_cells(
            self.exposure.layer,
            request,
            index,
            flood_cells_map,
            line_layer,
            target_field)

        target_field_index = line_layer.dataProvider().\
            fieldNameIndex(target_field)

        # Generate simple impact report
        epsg = get_utm_epsg(self.requested_extent[0], self.requested_extent[1])
        output_crs = QgsCoordinateReferenceSystem(epsg)
        transform = QgsCoordinateTransform(
            self.exposure.layer.crs(), output_crs)

        # Roads breakdown
        self.init_report_var(self.hazard_classes)

        if line_layer.featureCount() < 1:
            raise ZeroImpactException()

        roads_data = line_layer.getFeatures()
        road_type_field_index = line_layer.fieldNameIndex(road_class_field)

        for road in roads_data:
            attributes = road.attributes()

            affected = attributes[target_field_index]
            if isinstance(affected, QPyNullVariant):
                continue
            else:
                hazard_zone = self.hazard_classes[affected]

            usage = attributes[road_type_field_index]
            usage = main_type(usage, exposure_value_mapping)

            geom = road.geometry()
            geom.transform(transform)
            length = geom.length()

            affected = False
            num_classes = len(self.hazard_classes)
            if attributes[target_field_index] in range(num_classes):
                affected = True
            self.classify_feature(hazard_zone, usage, length, affected)

        self.reorder_dictionaries()

        style_classes = [
            # FIXME 0 - 0.1
            dict(
                label=self.hazard_classes[0] + ': 0m',
                value=0,
                colour='#00FF00',
                transparency=0,
                size=1
            ),
            dict(
                label=self.hazard_classes[1] + ': >0 - %.1f m' % low_max,
                value=1,
                colour='#FFFF00',
                transparency=0,
                size=1
            ),
            dict(
                label=self.hazard_classes[2] + ': %.1f - %.1f m' % (
                    low_max + 0.1, medium_max),
                value=2,
                colour='#FFB700',
                transparency=0,
                size=1
            ),
            dict(
                label=self.hazard_classes[3] + ': %.1f - %.1f m' % (
                    medium_max + 0.1, high_max),
                value=3,
                colour='#FF6F00',
                transparency=0,
                size=1
            ),

            dict(
                label=self.hazard_classes[4] + ' > %.1f m' % high_max,
                value=4,
                colour='#FF0000',
                transparency=0,
                size=1
            ),
        ]
        style_info = dict(
            target_field=target_field,
            style_classes=style_classes,
            style_type='categorizedSymbol')

        impact_data = self.generate_data()

        extra_keywords = {
            'map_title': self.metadata().key('map_title'),
            'legend_title': self.metadata().key('legend_title'),
            'target_field': target_field
        }

        impact_layer_keywords = self.generate_impact_keywords(extra_keywords)

        # Convert QgsVectorLayer to inasafe layer and return it
        impact_layer = Vector(
            data=line_layer,
            name=self.metadata().key('layer_name'),
            keywords=impact_layer_keywords,
            style_info=style_info)

        impact_layer.impact_data = impact_data
        self._impact = impact_layer
        return impact_layer
Exemplo n.º 41
0
from PyQt5.QtCore import QVariant
from qgis.core import (QgsCoordinateReferenceSystem, QgsCoordinateTransform,
                       QgsCoordinateTransformContext, QgsFeature, QgsGeometry,
                       QgsPointXY, QgsWkbTypes)

crs_2180 = QgsCoordinateReferenceSystem()
crs_2180.createFromSrid(2180)

def extract_lpis_bbox(lpis_response, target_crs, response_crs = crs_2180):

    response_points = lpis_response["geometry"]["coordinates"][0]

    wkt = "POLYGON (({}))"

    wkt_points = []
    for point in response_points:
        wkt_point = "{} {}".format(*point)
        wkt_points.append(wkt_point)

    wkt_points_str = ", ".join(wkt_points)
    wkt = wkt.format(wkt_points_str)

    response_bbox = QgsGeometry().fromWkt(wkt)
    
    transformation = QgsCoordinateTransform(response_crs, target_crs, QgsCoordinateTransformContext())
    target_bbox = transformation.transformBoundingBox(response_bbox.boundingBox())

    return target_bbox