Exemplo n.º 1
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def union(inputtiles, parsenames):

    tiles = sutils.tile_parser(inputtiles, parsenames)

    xmin, xmax, ymin, ymax = sutils.get_range(tiles)

    zoom = sutils.get_zoom(tiles)

    # make an array of shape (xrange + 3, yrange + 3)
    burn = sutils.burnXYZs(tiles, xmin, xmax, ymin, ymax, 0)

    nw = mercantile.xy(*mercantile.ul(xmin, ymin, zoom))

    se = mercantile.xy(*mercantile.ul(xmax + 1, ymax + 1, zoom))

    aff = Affine(((se[0] - nw[0]) / float(xmax - xmin + 1)), 0.0, nw[0],
        0.0, -((nw[1] - se[1]) / float(ymax - ymin + 1)), nw[1])

    unprojecter = sutils.Unprojecter()

    unionedTiles = [
        {
            'geometry': unprojecter.unproject(feature),
            'properties': {},
            'type': 'Feature'
        } for feature, shapes in features.shapes(np.asarray(np.flipud(np.rot90(burn)).astype(np.uint8), order='C'), transform=aff) if shapes == 1
    ]

    return unionedTiles
Exemplo n.º 2
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def get_tile(tx, ty, zoom):
    print tx, ty, zoom
    bounds = mercantile.bounds(tx, ty, zoom)
    print bounds

    lat1 = int(bounds.north)
    lat2 = int(bounds.south)
    lon1 = int(bounds.west)
    lon2 = int(bounds.east)

    tile = np.zeros((256, 256))

    tile_base = mercantile.xy(*mercantile.ul(tx, ty, zoom))
    print tile_base

    for lat in range(lat2, lat1 + 1):
        for lon in range(lon1, lon2 + 1):
            key = "meshmap:block:%d:%d" % (lat, lon)
            block = np.frombuffer(redis.get(key), dtype=np.uint8)
            block = block.reshape((120, 80))

            blat1 = min(lat + 1, bounds.north)
            blat2 = max(lat, bounds.south)
            blon1 = max(lon, bounds.west)
            blon2 = min(lon + 1, bounds.east)

            print blat1, blat2, blon1, blon2

            p1 = mercantile.xy(blon1, blat1)
            p2 = mercantile.xy(blon2, blat2)

            print p1, p2

            print p1[0] - tile_base[0], p1[1] - tile_base[1]
def make_transform(tilerange, zoom):
    ulx, uly = mercantile.xy(*mercantile.ul(tilerange['x']['min'], tilerange['y']['min'], zoom))
    lrx, lry = mercantile.xy(*mercantile.ul(tilerange['x']['max'], tilerange['y']['max'], zoom))
    xcell = (lrx - ulx) / float(tilerange['x']['max'] - tilerange['x']['min'])
    ycell = (uly - lry) / float(tilerange['y']['max'] - tilerange['y']['min'])
    return Affine(xcell, 0, ulx,
                  0, -ycell, uly)
Exemplo n.º 4
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def project_geom(geom):
    coordinates = []
    # zhangqi 新增代码 替换
    # return {
    #     'type': geom['type'],
    #     'coordinates': [
    #         [mercantile.xy(*coords) for coords in part]
    #         for part in geom['coordinates']
    #     ]
    # }
    if geom['type'] == 'MultiPolygon':
        coordinates = []
        for part in geom['coordinates']:
            tmp = []
            for p in part:
                tmp.append([mercantile.xy(*coords) for coords in p])
            coordinates.append(tmp)
        return {'type': geom['type'], 'coordinates': coordinates}
    else:
        return {
            'type':
            geom['type'],
            'coordinates': [[mercantile.xy(*coords) for coords in part]
                            for part in geom['coordinates']]
        }
Exemplo n.º 5
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def make_src_meta(bounds, size, creation_opts={}):
    """
    Create metadata for output tiles
    """

    ul = merc.xy(bounds.west, bounds.north)
    lr = merc.xy(bounds.east, bounds.south)

    aff = make_affine(size, size, ul, lr)

    ## default values
    src_meta = {
        'driver': 'GTiff',
        'height': size,
        'width': size,
        'count': 4,
        'dtype': np.uint8,
        'affine': aff,
        "crs": 'EPSG:3857',
        'compress': 'JPEG',
        'tiled': True,
        'blockxsize': 256,
        'blockysize': 256
    }

    for c in creation_opts.keys():
        src_meta[c] = creation_opts[c]

    return src_meta
Exemplo n.º 6
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def make_src_meta(bounds, size, creation_opts={}):
    """
    Create metadata for output tiles
    """

    ul = merc.xy(bounds.west, bounds.north)
    lr = merc.xy(bounds.east, bounds.south)

    aff = make_affine(size, size, ul, lr)

    ## default values
    src_meta = {
        'driver': 'GTiff',
        'height': size,
        'width': size,
        'count': 4,
        'dtype': np.uint8,
        'affine': aff,
        "crs": 'EPSG:3857',
        'compress': 'JPEG',
        'tiled': True,
        'blockxsize': 256,
        'blockysize': 256
    }

    for c in creation_opts.keys():
        src_meta[c] = creation_opts[c]

    return src_meta
Exemplo n.º 7
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def make_transform(tilerange, zoom):
    ulx, uly = mercantile.xy(*mercantile.ul(tilerange['x']['min'], tilerange['y']['min'], zoom))
    lrx, lry = mercantile.xy(*mercantile.ul(tilerange['x']['max'], tilerange['y']['max'], zoom))
    xcell = (lrx - ulx) / float(tilerange['x']['max'] - tilerange['x']['min'])
    ycell = (uly - lry) / float(tilerange['y']['max'] - tilerange['y']['min'])
    return Affine(xcell, 0, ulx,
        0, -ycell, uly)
Exemplo n.º 8
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    async def serve(cls, request):

        # TODO: develop and test some 'request' plugin hooks
        endpoint = request.path.split('.')[-1]
        path_args = request.match_info
        request_hook_response = Configs.plugins.hook('request', endpoint=endpoint, request=request, **path_args)
        # if a request_hook_response is received, return and skip the regular processing:
        if request_hook_response:
            return request_hook_response

        # fetch query parameters from request info
        x = int(request.match_info['x'])
        y = int(request.match_info['y'])
        zoom = int(request.match_info['z'])
        layers = request.match_info['layers']
        try:
            recipe_name = request.match_info['recipe']
        except KeyError:
            recipe_name = 'default_recipe'

        # check that recipe exists
        if recipe_name not in Configs.recipes.keys():
            logger.error('Recipe {0} not found in recipes'.format(recipe_name))
            return aiohttp.errors.HttpBadRequest('Recipe {0} not found in recipes'.format(recipe_name))

        # fetch recipe
        recipe = Configs.recipes[recipe_name]

        # extrapolate the layers
        if layers == 'all':
            layers = list(recipe.layers.keys())
        else:
            layers = layers.split('+')

        # compute bounds and extents
        bounds = mercantile.bounds(x, y, zoom)
        west, south = mercantile.xy(bounds.west, bounds.south)
        east, north = mercantile.xy(bounds.east, bounds.north)

        # process the layers
        layer_data = []
        for layer_name in layers:
            if layer_name not in recipe.layers.keys():
                logger.error('Layer {0} not found in recipe {1}'.format(layer_name, recipe_name))
                return aiohttp.errors.HttpBadRequest('Layer {0} not found in layer config file'.format(layer_name))
            else:
                layer = recipe.layers[layer_name]
                layer_data.append(await cls.query_layer(layer, zoom, west, south, east, north))

        content_type, body = cls.post_process(layer_data)
        response = Response(content_type=content_type, body=body, headers=generic_headers)

        # TODO: develop and test some 'request' plugin hooks
        response_hook_response = Configs.plugins.hook('request', response=response, request=request)
        # if a response_hook_response is received, it overrides the regular response:
        if response_hook_response:
            return response_hook_response
        else:
            return response
Exemplo n.º 9
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    def _write((tile, data)):
        if not contains_data((tile, data)):
            return

        print("Writing", tile)

        # Get the bounds of the tile.
        ulx, uly = mercantile.xy(
            *mercantile.ul(tile.x, tile.y, tile.z))
        lrx, lry = mercantile.xy(
            *mercantile.ul(tile.x + 1, tile.y + 1, tile.z))

        # TODO constantize
        tmp_path = "/vsimem/tile"

        # create GeoTIFF
        meta = creation_options.copy()
        meta["count"] = 1
        meta["nodata"] = data.fill_value
        meta["dtype"] = data.dtype
        meta["width"] = CHUNK_SIZE
        meta["height"] = CHUNK_SIZE
        meta["transform"] = from_bounds(ulx, lry, lrx, uly, CHUNK_SIZE, CHUNK_SIZE)

        with rasterio.drivers():
            with rasterio.open(tmp_path, "w", **meta) as tmp:
                tmp.write(data, 1)

        # write out
        output_uri = urlparse(out_dir)
        contents = bytearray(virtual_file_to_buffer(tmp_path))

        if output_uri.scheme == "s3":
            # TODO use mapPartitions so that the client only needs to be
            # instantiated once per partition
            client = boto3.client("s3")

            bucket = output_uri.netloc
            # TODO strip out trailing slashes on the path if necessary
            key = "%s/%d/%d/%d.tif" % (output_uri.path[1:], tile.z, tile.x, tile.y)

            response = client.put_object(
                ACL="public-read",
                Body=bytes(contents),
                Bucket=bucket,
                # CacheControl="TODO",
                ContentType="image/tiff",
                Key=key
            )
        else:
            output_path = os.path.join(out_dir, "%d/%d/%d.tif" % (tile.z, tile.x, tile.y))
            mkdir_p(os.path.dirname(output_path))

            f = open(output_path, "w")
            f.write(contents)
            f.close()
Exemplo n.º 10
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def test_xy():
    ul = mercantile.ul(486, 332, 10)
    xy = mercantile.xy(*ul)
    expected = (-1017529.7205322663, 7044436.526761846)
    for a, b in zip(expected, xy):
        assert round(a - b, 7) == 0
    xy = mercantile.xy(0.0, 0.0)
    expected = (0.0, 0.0)
    for a, b in zip(expected, xy):
        assert round(a - b, 7) == 0
Exemplo n.º 11
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def make_transform(tilerange, zoom):
    ulx, uly = mercantile.xy(
        *mercantile.ul(tilerange["x"]["min"], tilerange["y"]["min"], zoom)
    )
    lrx, lry = mercantile.xy(
        *mercantile.ul(tilerange["x"]["max"], tilerange["y"]["max"], zoom)
    )
    xcell = (lrx - ulx) / float(tilerange["x"]["max"] - tilerange["x"]["min"])
    ycell = (uly - lry) / float(tilerange["y"]["max"] - tilerange["y"]["min"])
    return Affine(xcell, 0, ulx, 0, -ycell, uly)
Exemplo n.º 12
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def test_xy():
    ul = mercantile.ul(486, 332, 10)
    xy = mercantile.xy(*ul)
    expected = (-1017529.7205322663, 7044436.526761846)
    for a, b in zip(expected, xy):
        assert round(a-b, 7) == 0
    xy = mercantile.xy(0.0, 0.0)
    expected = (0.0, 0.0)
    for a, b in zip(expected, xy):
        assert round(a-b, 7) == 0
Exemplo n.º 13
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def test__sm2ll():
    w, s, e, n = (-106.6495132446289, 25.845197677612305, -93.50721740722656,
                  36.49387741088867)
    minX, minY = ctx.tile._sm2ll(w, s)
    maxX, maxY = ctx.tile._sm2ll(e, n)
    nw, ns = mt.xy(minX, minY)
    ne, nn = mt.xy(maxX, maxY)
    assert round(nw - w, TOL) == 0
    assert round(ns - s, TOL) == 0
    assert round(ne - e, TOL) == 0
    assert round(nn - n, TOL) == 0
Exemplo n.º 14
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    def __init__(self, center, bbox, zoom, basemap, opacity, size=None):

        self._configure_event_loop()
        point = center['geometry']['coordinates']
        if size is None:
            size = IMAGE_SIZE

        self.num_tiles = [
            math.ceil(size[x] / TILE_SIZE[x]) + 1 for x in (0, 1)
        ]
        center_tile = mercantile.tile(point[0], point[1], zoom)

        mercator = Proj(init='epsg:3857')
        wgs84 = Proj(init='epsg:4326')

        center_tile_bbox = BBox(mercantile.bounds(*center_tile),
                                projection=wgs84).project(mercator,
                                                          edge_points=0)
        center_to_image = world_to_image(center_tile_bbox, TILE_SIZE)
        center_to_world = image_to_world(center_tile_bbox, TILE_SIZE)
        center_point_px = center_to_image(*mercantile.xy(*point))

        self.ul_tile = mercantile.tile(*transform(
            mercator, wgs84,
            *center_to_world(center_point_px[0] -
                             math.ceil(IMAGE_SIZE[0] / 2), center_point_px[1] -
                             math.ceil(IMAGE_SIZE[1] / 2)), zoom))

        lr_tile = mercantile.Tile(x=min(2**zoom,
                                        self.ul_tile.x + self.num_tiles[0]),
                                  y=min(2**zoom,
                                        self.ul_tile.y + self.num_tiles[1]),
                                  z=zoom)

        ul = mercantile.xy(*mercantile.ul(*self.ul_tile))
        lr = mercantile.xy(*mercantile.ul(*lr_tile))

        self.image_bbox = BBox((ul[0], lr[1], lr[0], ul[1]))
        self.image_size = (TILE_SIZE[0] * self.num_tiles[0],
                           TILE_SIZE[1] * self.num_tiles[1])

        self.to_image = world_to_image(self.image_bbox, self.image_size)
        self.to_world = image_to_world(self.image_bbox, self.image_size)

        self.point_px = [
            round(x) for x in self.to_image(*mercantile.xy(*point))
        ]

        self.target_size = size
        self.point = point
        self.zoom = zoom
        self.basemap = basemap
        self._basemap_image = None
        self.opacity = opacity
Exemplo n.º 15
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def vecttile_mask(tile, save_mask=True):
    bounds = mercantile.bounds(tile.x, tile.y, tile.z)
    ll = mercantile.xy(bounds.west, bounds.south)
    ur = mercantile.xy(bounds.east, bounds.north)
    extent = mapnik.Box2d(*(ll + ur))


    m = mapnik.Map(256, 256)
    m.srs = "+proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +no_defs +over"
    s = mapnik.Style()
    r = mapnik.Rule()

    road_width = 75 # meters
    pixel_size = mercantile.pixel_size(tile.z, bounds.north)
    pixels = int(road_width/pixel_size) + 1
    line_symbolizer = mapnik.LineSymbolizer(mapnik.Color('black'), pixels)
    r.symbols.append(line_symbolizer)
    s.rules.append(r)
    m.append_style('RoadStyle', s)
    layer = mapnik.Layer('Roads from PostGIS')
    layer.srs = "+init=epsg:3857"
    ROADS = """
        (SELECT way
        FROM planet_osm_line
        WHERE roadbiking = TRUE) linestring
    """
    layer.datasource = mapnik.PostGIS(host='localhost', user='******', password='******',
        dbname='osm_uswest', table=ROADS, geometry_field='way')
    layer.styles.append('RoadStyle')
    m.layers.append(layer)




    m.zoom_to_box(extent)

    img = mapnik.Image(m.width, m.height)
    mapnik.render(m, img)
    imgpath = tile_path(os.path.join(tiledir, 'mask'), tile, 'png')
    prep_dirs(imgpath)
    if save_mask:
        img.save(imgpath)

    imgdata = np.frombuffer(img.tostring(), dtype=np.uint8).reshape((256, 256, 4))

    # use alpha channel to get 0->1 scale for mask
    alpha = imgdata[:,:,3] / 255.0  

    # invert for easy multiplication w/ strava alpha channel
    #  1 = no road, keep strava heatmap values)
    #  0 = road, make strava heatmap transparent
    mask = 1 - alpha
    return mask
Exemplo n.º 16
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        def create_vectortile_sql(layer, bounds):
            # Create extent
            west, south = xy(bounds.west, bounds.south)
            east, north = xy(bounds.east, bounds.north)
            extent = "ST_MakeBox2D(ST_MakePoint({west}, {south}), ST_MakePoint({east}, {north}))".format(west=west, south=south, east=east, north=north)

            # e.g. aus_census_2011_shapes.sa1
            geom_table_name = "{schema_name}.{geometry_name}".format(geometry_name=layer["geometry"], schema_name=layer["schema"])
            # e.g. aus_census_2011_shapes.sa1.geom_3857
            geom_column_definition = "{}.geom_3857".format(geom_table_name)

            # Replace the compiled geometry column definition with the zoom-level dependent version
            # e.g. Replace "ST_AsEWKB(aus_census_2011_shapes.sa1.geom_3857)" with "ST_AsMVTGeom(ST_Simplify(aus_census_2011_shapes.sa1.geom_3857, TOLERANCE), EXTENT_OF_TILE)"

            # Zoom 15 is our highest resolution (configured in OpenLayers), so we need to grab
            # unsimplified geometries to allow us to re-use them as the user zooms in.
            if z == 15:
                data_query = layer["_postgis_query"].replace(
                    "ST_AsEWKB({})".format(geom_column_definition),
                    "ST_AsMVTGeom({geom_column_definition}, {extent})".format(geom_column_definition=geom_column_definition, extent=extent)
                )
            else:
                # Bodge bodge
                # Fudge the simplification tolerance so that collections of small and dense geometries (e.g. SA1s in capital cities)
                # don't get dropped too soon
                data_query = layer["_postgis_query"].replace(
                    "ST_AsEWKB({})".format(geom_column_definition),
                    "ST_AsMVTGeom(ST_Simplify({geom_column_definition}, {simplify_tolerance}), {extent})".format(geom_column_definition=geom_column_definition, simplify_tolerance=z_res(z + 2), extent=extent)
                )

            # Drop any geometries that are too small for the user to see in this tile (smaller than about a pixel)
            area_filter = "{geom_table_name}.sqrt_area_geom_3857 >= {area_threshold} AND".format(geom_table_name=geom_table_name, area_threshold=z_res(z + 1.5))

            # FIXME Build this whole query in SQLAlchemy instead
            # We need to begin a WHERE clause if there's no filter on the layer
            if " WHERE " not in layer["_postgis_query"]:
                where_cause = "WHERE"
            else:
                where_cause = "AND"

            return """
                SELECT
                    ST_AsMVT(tile)
                FROM
                    ({data_query}
                    {where_cause}
                        {area_filter}
                        {geom_column_definition} && {extent}
                    ) as tile""".format(data_query=data_query, where_cause=where_cause, area_filter=area_filter, geom_column_definition=geom_column_definition, extent=extent)
Exemplo n.º 17
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def process_tile(tile):
    """Process a single MBTiles tile

    Parameters
    ----------
    tile : mercantile.Tile

    Returns:
    tile : mercantile.Tile
        The input tile.
    bytes : bytearray
        Image bytes corresponding to the tile.
    """
    global base_kwds, resampling, src
    # Get the bounds of the tile.
    ulx, uly = mercantile.xy(
        *mercantile.ul(tile.x, tile.y, tile.z))
    lrx, lry = mercantile.xy(
        *mercantile.ul(tile.x + 1, tile.y + 1, tile.z))

    kwds = base_kwds.copy()
    kwds['transform'] = from_bounds(ulx, lry, lrx, uly, 256, 256)
    src_nodata = kwds.pop('src_nodata', None)
    dst_nodata = kwds.pop('dst_nodata', None)

    with rasterio.open('/vsimem/tileimg', 'w', **kwds) as tmp:
        reproject(rasterio.band(src, src.indexes),
                  rasterio.band(tmp, tmp.indexes),
                  src_nodata=src_nodata,
                  dst_nodata=dst_nodata,
                  num_threads=1,
                  resampling=resampling)

    data = bytearray(virtual_file_to_buffer('/vsimem/tileimg'))

    # Workaround for https://bugs.python.org/issue23349.
    if sys.version_info[0] == 2 and sys.version_info[2] < 10:
        # Check for backported bug fix before re-ordering
	if kwds['driver'] == 'PNG' and data[0:8] == png_header:
            # Properly constructed PNG, no need to re-order bytes
            pass
	elif kwds['driver'] == 'JPEG' and data[0:4] == jpeg_header:
            # Properly constructed JPEG, no need to re-order bytes
            pass
	else:
            data[:] = data[-1:] + data[:-1]

    return tile, data
Exemplo n.º 18
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def test_xy_tile():
    """x, y for the 486-332-10 tile is correctly calculated"""
    ul = mercantile.ul(486, 332, 10)
    xy = mercantile.xy(*ul)
    expected = (-1017529.7205322663, 7044436.526761846)
    for a, b in zip(expected, xy):
        assert round(a - b, 7) == 0
Exemplo n.º 19
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def project_geom(geom):
    return {
        'type':
        geom['type'],
        'coordinates': [[mercantile.xy(*coords) for coords in part]
                        for part in geom['coordinates']]
    }
Exemplo n.º 20
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def test_xy_tile():
    """x, y for the 486-332-10 tile is correctly calculated"""
    ul = mercantile.ul(486, 332, 10)
    xy = mercantile.xy(*ul)
    expected = (-1017529.7205322663, 7044436.526761846)
    for a, b in zip(expected, xy):
        assert round(a - b, 7) == 0
Exemplo n.º 21
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 def draw_geometry(self, im, geometry, color, width):
     canvas = ImageDraw.Draw(im)
     canvas.line([
         tuple(round(x) for x in self.to_image(*mercantile.xy(*p)))
         for p in geometry
     ],
                 fill=color,
                 width=width)
Exemplo n.º 22
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def project_geom(geom):
    return {
        'type': geom['type'],
        'coordinates': [
            [mercantile.xy(*coords) for coords in part]
            for part in geom['coordinates']
        ]
    }
Exemplo n.º 23
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def process_tile(tile):
    """Process a single MBTiles tile."""
    global base_kwds, src
    # Get the bounds of the tile.
    ulx, uly = mercantile.xy(*mercantile.ul(tile.x, tile.y, tile.z))
    lrx, lry = mercantile.xy(*mercantile.ul(tile.x + 1, tile.y + 1, tile.z))

    kwds = base_kwds.copy()
    kwds['transform'] = from_bounds(ulx, lry, lrx, uly, 256, 256)

    with rasterio.open('/vsimem/tileimg', 'w', **kwds) as tmp:
        # Reproject the src dataset into image tile.
        for bidx in tmp.indexes:
            reproject(rasterio.band(src, bidx), rasterio.band(tmp, bidx))

    # Get contents of the virtual file and repair it.
    contents = bytearray(virtual_file_to_buffer('/vsimem/tileimg'))
    return tile, contents[-1:] + contents[:-1]
Exemplo n.º 24
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    def serve(self):
        bounds = mercantile.bounds(self.x, self.y, self.zoom)
        self.west, self.south = mercantile.xy(bounds.west, bounds.south)
        self.east, self.north = mercantile.xy(bounds.east, bounds.north)
        self.layers = []
        if self.namespace not in RECIPES:
            msg = 'Recipe "{}" not found. Available recipes are: {}'
            abort(400, msg.format(self.namespace, list(RECIPES.keys())))
        self.recipe = RECIPES[self.namespace]
        names = self.recipe.layers.keys() if self.ALL else self.names
        for name in names:
            if name not in self.recipe.layers:
                abort(400, u'Layer "{}" not found in recipe {}'.format(
                    name, self.namespace))
            self.process_layer(self.recipe.layers[name])
        self.post_process()

        return self.content, 200, {"Content-Type": self.CONTENT_TYPE}
Exemplo n.º 25
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def process_tile(tile):
    """Process a single MBTiles tile."""
    global base_kwds, src
    # Get the bounds of the tile.
    ulx, uly = mercantile.xy(*mercantile.ul(tile.x, tile.y, tile.z))
    lrx, lry = mercantile.xy(*mercantile.ul(tile.x + 1, tile.y + 1, tile.z))

    kwds = base_kwds.copy()
    kwds["transform"] = from_bounds(ulx, lry, lrx, uly, 256, 256)

    with rasterio.open("/vsimem/tileimg", "w", **kwds) as tmp:
        # Reproject the src dataset into image tile.
        for bidx in tmp.indexes:
            reproject(rasterio.band(src, bidx), rasterio.band(tmp, bidx))

    # Get contents of the virtual file.
    contents = bytearray(virtual_file_to_buffer("/vsimem/tileimg"))
    return tile, contents
Exemplo n.º 26
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def process_chunk(tile, input, creation_options, resampling):
    """Process a single tile."""

    from rasterio.warp import RESAMPLING

    input = input.replace("s3://", "/vsicurl/http://s3.amazonaws.com/")

    print("Chunking initial image for", tile)

    # Get the bounds of the tile.
    ulx, uly = mercantile.xy(
        *mercantile.ul(tile.x, tile.y, tile.z))
    lrx, lry = mercantile.xy(
        *mercantile.ul(tile.x + 1, tile.y + 1, tile.z))

    tmp_path = "/vsimem/tile"

    with rasterio.drivers():
        with rasterio.open(input, "r") as src:
            meta = src.meta.copy()
            meta.update(creation_options)
            meta["height"] = CHUNK_SIZE
            meta["width"] = CHUNK_SIZE
            meta["transform"] = from_bounds(ulx, lry, lrx, uly, CHUNK_SIZE, CHUNK_SIZE)

            # write to a tmp file to allow GDAL to handle the transform
            with rasterio.open(tmp_path, "w", **meta) as tmp:
                # Reproject the src dataset into image tile.
                for bidx in src.indexes:
                    reproject(
                        source=rasterio.band(src, bidx),
                        destination=rasterio.band(tmp, bidx),
                        resampling=getattr(RESAMPLING, resampling),
                        num_threads=multiprocessing.cpu_count(),
                    )

                # check for chunks containing only NODATA
                data = tmp.read(masked=True)

            if data.mask.all():
                return

            # TODO hard-coded for the first band
            return (tile, data[0])
Exemplo n.º 27
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def _tile_worker(tile):
    """
    For each tile, and given an open rasterio src, plus a`global_args` dictionary
    with attributes of `base_val`, `interval`, and a `writer_func`,
    warp a continous single band raster to a 512 x 512 mercator tile,
    then encode this tile into RGB.

    Parameters
    -----------
    tile: list
        [x, y, z] indices of tile

    Returns
    --------
    tile, buffer
        tuple with the input tile, and a bytearray with the data encoded into
        the format created in the `writer_func`

    """
    x, y, z = tile

    bounds = [
        c for i in (
            mercantile.xy(*mercantile.ul(x, y + 1, z)),
            mercantile.xy(*mercantile.ul(x + 1, y, z)),
        ) for c in i
    ]

    toaffine = transform.from_bounds(*bounds + [512, 512])

    out = np.empty((512, 512), dtype=src.meta["dtype"])

    reproject(
        rasterio.band(src, 1),
        out,
        dst_transform=toaffine,
        dst_crs="epsg:3857",
        resampling=Resampling.bilinear,
    )

    out = data_to_rgb(out, global_args["base_val"], global_args["interval"])

    return tile, global_args["writer_func"](out, global_args["kwargs"].copy(),
                                            toaffine)
Exemplo n.º 28
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    def run(self):
        try:
            self.signals.logged.emit("Обработка {}".format(self.road.Name),
                                     LogModel.INFO)
            points = self.road.get_main_axe_coordinates(self.session)
            west = min(p['lng'] for p in points)
            east = max(p['lng'] for p in points)
            south = min(p['lat'] for p in points)
            north = max(p['lat'] for p in points)
            img = geo2image.GeoImage(west,
                                     south,
                                     east,
                                     north,
                                     self.zoom,
                                     pool_workers=4)
            img.update()

            with img.cairo_surface() as surface:
                context = cairo.Context(surface)
                with img.cairo_matrix_override(context):
                    context.set_source_rgb(1, 0.2, 0.2)
                    x, y = mercantile.xy(points[0]['lng'], points[0]['lat'])
                    context.arc(x, y, 11 / img.kx, 0, math.pi * 2)
                    context.fill()

                    context.set_source_rgb(1, 0.2, 0.2)
                    x, y = mercantile.xy(points[-1]['lng'], points[-1]['lat'])
                    context.arc(x, y, 11 / img.kx, 0, math.pi * 2)
                    context.fill()

                    context.set_source_rgba(1, 0.2, 0.2, 0.4)
                    context.set_line_width(10 / img.kx)
                    for p in points:
                        x, y = mercantile.xy(p['lng'], p['lat'])
                        context.line_to(x, y)
                    context.stroke()
                surface.write_to_png(self.save_path)
            self.signals.finished.emit(self)
        except Exception as ex:
            self.signals.logged.emit(
                "{}:{}".format(self.road.Name, traceback.format_exc()),
                LogModel.ERROR)
        finally:
            self.session.close()
Exemplo n.º 29
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    def get_opts(self, count):
        """Return rasterio dataset creation options for the bounding tile."""
        w, s, e, n = list(mercantile.bounds(*self.bounding_tile))

        w, s = mercantile.xy(w, s)
        e, n = mercantile.xy(e, n)

        xcell = ((e - w) / self.tileshape)
        ycell = ((n - s) / self.tileshape)

        return {
            'dtype': np.float32,
            'driver': 'GTiff',
            'height': self.tileshape,
            'width': self.tileshape,
            'count': count,
            'compress': 'lzw',
            'transform': affine.Affine(xcell, 0, w, 0, -ycell, n),
            'crs': 'epsg:3857'}
Exemplo n.º 30
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    def parse_coordinate(self, size_im, coordinate):
        scale = 6324
        h, w = size_im[:2]
        y, x = coordinate
        # 131.9022528224, 43.0294958224
        x, y = mercantile.xy(x, y)

        # рассчитываем координаты углов в веб-меркаторе
        left_top = mercantile.xy(self.bounds['west'], self.bounds['north'])
        right_bottom = mercantile.xy(self.bounds['east'], self.bounds['south'])

        # расчитываем коэффициенты
        kx = w / (right_bottom[0] - left_top[0])
        ky = h / (right_bottom[1] - left_top[1])

        x = (x - left_top[0]) * kx #* 1.198
        y = (y - left_top[1]) * ky #* 0.915

        return int(abs(x)), int(abs(y))
Exemplo n.º 31
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def test_make_tiles_tile_bounds(x, y):
    '''
    Test if children tiles from z10 are created correctly
    '''
    test_bounds = mercantile.bounds(x, y, 10)

    test_bbox = list(mercantile.xy(test_bounds.west, test_bounds.south)) + list(mercantile.xy(test_bounds.east, test_bounds.north))

    test_crs = 'epsg:3857'
    test_minz = 10
    test_maxz = 13

    created_tiles_gen = _make_tiles(test_bbox, test_crs, test_minz, test_maxz)

    assert isinstance(created_tiles_gen, types.GeneratorType)

    created_tiles = list(created_tiles_gen)

    assert len(created_tiles) == 85
Exemplo n.º 32
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def downsample((tile, data)):
    if data is None:
        return

    print("Downsampling", tile)

    # Get the bounds of the tile.
    ulx, uly = mercantile.xy(
        *mercantile.ul(tile.x, tile.y, tile.z))
    lrx, lry = mercantile.xy(
        *mercantile.ul(tile.x + 1, tile.y + 1, tile.z))

    # TODO constantize
    tmp_path = "/vsimem/tile"

    # create GeoTIFF
    meta = {
        "driver": "GTiff",
        "crs": "EPSG:3857",
        "nodata": data.fill_value,
        "count": 1,
        "dtype": data.dtype,
        "width": CHUNK_SIZE,
        "height": CHUNK_SIZE,
        "transform": from_bounds(ulx, lry, lrx, uly, CHUNK_SIZE, CHUNK_SIZE),
    }

    with rasterio.drivers():
        with rasterio.open(tmp_path, "w", **meta) as tmp:
            # use GDAL to resample by writing an ndarray and immediately reading
            # it out into a smaller array
            tmp.write(data, 1)
            resampled = tmp.read(
                indexes=1,
                masked=True,
                out=ma.array(np.empty((CHUNK_SIZE / 2, CHUNK_SIZE / 2), data.dtype)),
            )

            if resampled.mask.all():
                return

            corner = CORNERS[(tile.x % 2, tile.y % 2)]
            return (mercantile.parent(tile), (corner, resampled))
Exemplo n.º 33
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 def map(self, coords):
     # TODO: test this
     m = np.empty(coords.shape)
     x, y = coords[:, 0], coords[:, 1]
     long, lat = offset_coord(self.longitude, self.latitude, x, y)
     x, y = mercantile.xy(long, lat)
     m[:, 0] = x
     m[:, 1] = y
     m[:, 2:] = coords[:, 2:]
     return m
Exemplo n.º 34
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def project_geom(geom):
    if geom["type"] == "Polygon":
        return {
            "type": geom["type"],
            "coordinates": [
                [mercantile.xy(*coords) for coords in part]
                for part in geom["coordinates"]
            ],
        }
    elif geom["type"] == "LineString":
        return {
            "type": geom["type"],
            "coordinates": [mercantile.xy(*coords) for coords in geom["coordinates"]],
        }
    elif geom["type"] == "Point":
        return {
            "type": geom["type"],
            "coordinates": mercantile.xy(*geom["coordinates"]),
        }
Exemplo n.º 35
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def tile_bbox(tile, mercator=False):

    if isinstance(tile, mercantile.Tile):
        if mercator:
            return mercantile.xy_bounds(tile)  # EPSG:3857
        else:
            return mercantile.bounds(tile)  # EPSG:4326

    else:
        with open(rasterio_open(tile)) as r:

            if mercator:
                w, s, e, n = r.bounds
                w, s = mercantile.xy(w, s)
                e, n = mercantile.xy(e, n)
                return w, s, e, n  # EPSG:3857
            else:
                return r.bounds  # EPSG:4326

        assert False, "Unable to open tile"
Exemplo n.º 36
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    def __init__(self, extent, map_dir, map_zoom=(MIN_ZOOM, MAX_ZOOM)):
        self._map_dir = map_dir
        self._min_zoom = map_zoom[0]
        self._max_zoom = map_zoom[1]

        # We need a manager to share the list of database names between processes
        self._manager = multiprocessing.Manager()
        self._database_names = self._manager.list()

        # Get whole tiles that span the image's extent
        self._tiles = list(mercantile.tiles(*extent, self._max_zoom))
        tile_0 = self._tiles[0]
        tile_N = self._tiles[-1]
        self._tile_start_coords = (tile_0.x, tile_0.y)
        self._tile_end_coords = (tile_N.x, tile_N.y)

        # Tiled area in world coordinates (metres)
        bounds_0 = mercantile.xy_bounds(tile_0)
        bounds_N = mercantile.xy_bounds(tile_N)
        tile_world = Rect(bounds_0.left, bounds_0.top, bounds_N.right,
                          bounds_N.bottom)

        # Tiled area in tile pixel coordinates
        tile_extent = Rect(0, 0, TILE_SIZE[0] * (tile_N.x - tile_0.x + 1),
                           TILE_SIZE[1] * (tile_N.y - tile_0.y + 1))

        # Affine transform from world to tile pixel coordinates
        sx = tile_extent.width / tile_world.width
        sy = tile_extent.height / tile_world.height
        world_to_tile = Affine((sx, -sy), (tile_world.x0, tile_world.y0),
                               (0, 0))

        # Extent in world coordinates (metres)
        sw = mercantile.xy(*extent[:2])
        ne = mercantile.xy(*extent[2:])

        # Converted to tile pixel coordinates
        self._image_rect = Rect(world_to_tile.transform(sw[0], ne[1]),
                                world_to_tile.transform(ne[0], sw[1]))

        self._processes = []
Exemplo n.º 37
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def merc2xy(x, y, z, sgeom):
    """ Apply some affine transformations to input shapely geometry for coordinates
    transformation from Mercatore to local tile pixels.

    sgeom @shapely.geom : Input polygon

    Returns a brand new shapely polygon in the new coordinates.
    """

    MVT_EXTENT = 4096

    X_min, Y_max = mercantile.xy(*mercantile.ul(x, y, z))
    X_max, Y_min = mercantile.xy(*mercantile.ul(x + 1, y - 1, z))

    geom_3857 = transform(transformer.transform, sgeom)
    tx, ty = -X_min, -2 * Y_max + Y_min
    geom_XY = translate(geom_3857, tx, ty)
    x_scale_factor = MVT_EXTENT / (X_max - X_min)
    y_scale_factor = -MVT_EXTENT / (Y_max - Y_min)
    geom_xy = scale(geom_XY, x_scale_factor, y_scale_factor, origin=(0, 0, 0))
    return geom_xy
Exemplo n.º 38
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 def read_val_at_pixel(self, grid, lat, lon, zoom):
     """Interpolate the row/column of a webtile from a lat/lon/zoom and extract
     the corresponding value from `grid`."""
     tile = mercantile.tile(lon, lat, zoom)
     size = len(grid)
     box = mercantile.xy_bounds(tile)
     x, y = mercantile.xy(lon, lat)
     width = box.right - box.left
     height = box.top - box.bottom
     i = int(round(size * (box.top - y) / height))
     j = int(round(size * (x - box.left) / width))
     return grid[i][j]
Exemplo n.º 39
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def union(inputtiles, parsenames):

    tiles = sutils.tile_parser(inputtiles, parsenames)

    xmin, xmax, ymin, ymax = sutils.get_range(tiles)

    zoom = sutils.get_zoom(tiles)

    # make an array of shape (xrange + 3, yrange + 3)
    burn = sutils.burnXYZs(tiles, xmin, xmax, ymin, ymax, 0)

    nw = mercantile.xy(*mercantile.ul(xmin, ymin, zoom))

    se = mercantile.xy(*mercantile.ul(xmax + 1, ymax + 1, zoom))

    aff = Affine(
        ((se[0] - nw[0]) / float(xmax - xmin + 1)),
        0.0,
        nw[0],
        0.0,
        -((nw[1] - se[1]) / float(ymax - ymin + 1)),
        nw[1],
    )

    unprojecter = sutils.Unprojecter()

    unionedTiles = [
        {
            "geometry": unprojecter.unproject(feature),
            "properties": {},
            "type": "Feature",
        }
        for feature, shapes in features.shapes(
            np.asarray(np.flipud(np.rot90(burn)).astype(np.uint8), order="C"),
            transform=aff,
        )
        if shapes == 1
    ]

    return unionedTiles
Exemplo n.º 40
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def tile_view(request, zoom, x, y):
    """
    Returns an MVT tiles given zoom, x and y in TMS format

    References:
        https://www.mapbox.com/vector-tiles/
        http://wiki.osgeo.org/wiki/Tile_Map_Service_Specification#global-mercator

    """
    bounds = mercantile.bounds(int(x), int(y), int(zoom))
    west, south = mercantile.xy(bounds.west, bounds.south)
    east, north = mercantile.xy(bounds.east, bounds.north)

    pixel = pixel_length(zoom)
    buffer = 4 * pixel
    bbox = Polygon.from_bbox(
        (west - buffer, south - buffer, east + buffer, north + buffer))

    departements = Departement.objects.filter(geom__intersects=bbox)
    departements = departements.annotate(clipped=Intersection('geom', bbox))

    tile = {
        "name":
        "departements",
        "features": [{
            "geometry":
            departement.clipped.simplify(pixel, preserve_topology=True).wkt,
            "properties": {
                "numero": departement.code_dept,
                "nom": departement.nom_dept,
            },
        } for departement in departements],
    }
    vector_tile = mapbox_vector_tile.encode(tile,
                                            quantize_bounds=(west, south, east,
                                                             north))
    return HttpResponse(vector_tile,
                        content_type="application/vnd.mapbox-vector-tile")
Exemplo n.º 41
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    def get_basemap_image(self, basemap, bounds, size, zoom):
        tiles = list(mercantile.tiles(*bounds, zoom, truncate=True))
        bounds_merc = [*mercantile.xy(*bounds[:2]), *mercantile.xy(*bounds[2:])]
        image = Image.new('RGBA', size)
        to_image = world_to_image(BBox(bounds_merc, projection=WEB_MERCATOR), size)

        async def fetch_tile(client, url, tile):
            tile_bounds = mercantile.xy_bounds(tile)

            if url.startswith('//'):
                url = 'http:' + url

            async with client.get(url.format(x=tile.x, y=tile.y, z=tile.z, s='server')) as r:
                tile_im = Image.open(BytesIO(await r.read()))
                image.paste(tile_im, [int(round(x)) for x in to_image(*tile_bounds[0:4:3])])  # [0:4:3] = [xmin, ymax] (upper-left)

        async def fetch_tiles():
            async with aiohttp.ClientSession() as client:
                futures = [ensure_future(fetch_tile(client, basemap, tile)) for tile in tiles]
                await asyncio.wait(futures, return_when=asyncio.ALL_COMPLETED)

        asyncio.get_event_loop().run_until_complete(fetch_tiles())
        return image
Exemplo n.º 42
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    def _update_geoctx(self, change):
        if self.map is None:
            with self.hold_trait_notifications():
                self.set_trait("xy_3857", ())
                self.set_trait("geoctx", None)
            return

        lat, lon = self.location
        tx, ty, tz = mercantile.tile(lon, lat, int(self.map.zoom))
        ctx = GeoContext.from_xyz_tile(tx, ty, tz)

        with self.hold_trait_notifications():
            self.set_trait("xy_3857", mercantile.xy(lon, lat))
            self.set_trait("geoctx", ctx)
Exemplo n.º 43
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def _tile_worker(tile):
    """
    For each tile, and given an open rasterio src, plus a`global_args` dictionary
    with attributes of `base_val`, `interval`, and a `writer_func`,
    warp a continous single band raster to a 512 x 512 mercator tile,
    then encode this tile into RGB.

    Parameters
    -----------
    tile: list
        [x, y, z] indices of tile

    Returns
    --------
    tile, buffer
        tuple with the input tile, and a bytearray with the data encoded into
        the format created in the `writer_func`

    """
    x, y, z = tile

    bounds = [c for i in (mercantile.xy(*mercantile.ul(x, y + 1, z)),
            mercantile.xy(*mercantile.ul(x + 1, y, z))) for c in i]

    toaffine = transform.from_bounds(*bounds + [512, 512])

    out = np.empty((512, 512), dtype=src.meta['dtype'])

    reproject(
        rasterio.band(src, 1), out,
        dst_transform=toaffine,
        dst_crs="epsg:3857",
        resampling=RESAMPLING.bilinear)

    out = data_to_rgb(out, global_args['base_val'], global_args['interval'])

    return tile, global_args['writer_func'](out, global_args['kwargs'].copy(), toaffine)
Exemplo n.º 44
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def process_tile(tile):
    """Process a single MBTiles tile

    Parameters
    ----------
    tile : mercantile.Tile

    Returns:
    tile : mercantile.Tile
        The input tile.
    bytes : bytearray
        Image bytes corresponding to the tile.
    """
    global base_kwds, src
    # Get the bounds of the tile.
    ulx, uly = mercantile.xy(*mercantile.ul(tile.x, tile.y, tile.z))
    lrx, lry = mercantile.xy(*mercantile.ul(tile.x + 1, tile.y + 1, tile.z))

    kwds = base_kwds.copy()
    kwds['transform'] = from_bounds(ulx, lry, lrx, uly, 256, 256)
    src_nodata = kwds.pop('src_nodata', None)
    dst_nodata = kwds.pop('dst_nodata', None)

    with rasterio.open('/vsimem/tileimg', 'w', **kwds) as tmp:
        reproject(rasterio.band(src, src.indexes),
                  rasterio.band(tmp, tmp.indexes),
                  src_nodata=src_nodata,
                  dst_nodata=dst_nodata,
                  num_threads=1)

    data = bytearray(virtual_file_to_buffer('/vsimem/tileimg'))

    # Workaround for https://bugs.python.org/issue23349.
    if sys.version_info[0] == 2 and sys.version_info[2] < 10:
        data[:] = data[-1:] + data[:-1]

    return tile, data
Exemplo n.º 45
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def test_xy_south_pole():
    """Return -inf for y at South Pole"""
    assert mercantile.xy(0.0, -90) == (0.0, float('-inf'))
Exemplo n.º 46
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def process_tile(tile):
    """Process a single MBTiles tile

    Parameters
    ----------
    tile : mercantile.Tile

    Returns
    -------

    tile : mercantile.Tile
        The input tile.
    bytes : bytearray
        Image bytes corresponding to the tile.

    """
    global base_kwds, resampling, src

    # Get the bounds of the tile.
    ulx, uly = mercantile.xy(
        *mercantile.ul(tile.x, tile.y, tile.z))
    lrx, lry = mercantile.xy(
        *mercantile.ul(tile.x + 1, tile.y + 1, tile.z))

    kwds = base_kwds.copy()
    kwds['transform'] = transform_from_bounds(ulx, lry, lrx, uly,
                                              kwds['width'], kwds['height'])
    src_nodata = kwds.pop('src_nodata', None)
    dst_nodata = kwds.pop('dst_nodata', None)

    warnings.simplefilter('ignore')

    with MemoryFile() as memfile:

        with memfile.open(**kwds) as tmp:

            # determine window of source raster corresponding to the tile
            # image, with small buffer at edges
            try:
                west, south, east, north = transform_bounds(TILES_CRS, src.crs, ulx, lry, lrx, uly)
                tile_window = window_from_bounds(west, south, east, north, transform=src.transform)
                adjusted_tile_window = Window(
                    tile_window.col_off - 1, tile_window.row_off - 1,
                    tile_window.width + 2, tile_window.height + 2)
                tile_window = adjusted_tile_window.round_offsets().round_shape()

                # if no data in window, skip processing the tile
                if not src.read_masks(1, window=tile_window).any():
                    return tile, None

            except ValueError:
                log.info("Tile %r will not be skipped, even if empty. This is harmless.", tile)

            reproject(rasterio.band(src, tmp.indexes),
                      rasterio.band(tmp, tmp.indexes),
                      src_nodata=src_nodata,
                      dst_nodata=dst_nodata,
                      num_threads=1,
                      resampling=resampling)

        return tile, memfile.read()
Exemplo n.º 47
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def test_xy_null_island():
    """x, y for (0, 0) is correctly calculated"""
    xy = mercantile.xy(0.0, 0.0)
    expected = (0.0, 0.0)
    for a, b in zip(expected, xy):
        assert round(a - b, 7) == 0
Exemplo n.º 48
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    meta.update(
        driver='GTiff',
        dtype=rasterio.uint8,
        compress="deflate",
        predictor=1,
        nodata=None,
        tiled=True,
        sparse_ok=True,
        blockxsize=DST_BLOCK_SIZE,
        blockysize=DST_BLOCK_SIZE,
        height=DST_TILE_HEIGHT,
        width=DST_TILE_WIDTH,
    )

    # Get the bounds of the tile.
    ulx, uly = mercantile.xy(*mercantile.ul(tile.x, tile.y, tile.z))
    lrx, lry = mercantile.xy(*mercantile.ul(tile.x + 1, tile.y + 1, tile.z))

    meta["affine"] = src.window_transform(window)

    ls = LightSource()
    hs = ls.hillshade(data,
        dx=dx,
        dy=dy,
    )
    hs = (255.0 * hs).astype(np.uint8)

    with rasterio.open("windowed.tif", "w", **meta) as dst:
        # ignore the border pixels when writing
        dst.write(hs[BUFFER:-BUFFER, BUFFER:-BUFFER], 1)
Exemplo n.º 49
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def test_xy_north_pole():
    """Return inf for y at North Pole"""
    assert mercantile.xy(0.0, 90) == (0.0, float('inf'))
Exemplo n.º 50
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def test_xy_truncate():
    """Input is truncated"""
    assert mercantile.xy(-181.0, 0.0, truncate=True) == mercantile.xy(-180.0, 0.0)
Exemplo n.º 51
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def shapes(
        ctx, input, precision, indent, compact, projected,
        seq, output_mode, collect, extents, buffer):

    """Reads one or more Web Mercator tile descriptions
    from stdin and writes either a GeoJSON feature collection (the
    default) or a JSON sequence of GeoJSON features/collections to
    stdout.

    tile descriptions may be either an [x, y, z] array or a JSON
    object of the form

      {"tile": [x, y, z], "properties": {"name": "foo", ...}}

    In the latter case, the properties object will be used to update
    the properties object of the output feature.
    """
    verbosity = ctx.obj['verbosity']
    logger = logging.getLogger('mercantile')
    dump_kwds = {'sort_keys': True}
    if indent:
        dump_kwds['indent'] = indent
    if compact:
        dump_kwds['separators'] = (',', ':')

    try:
        src = click.open_file(input).__iter__()
    except IOError:
        src = [input]

    try:
        features = []
        col_xs = []
        col_ys = []
        for i, line in enumerate(src):
            line = line.strip()
            obj = json.loads(line)
            if isinstance(obj, dict):
                x, y, z = obj['tile'][:3]
                props = obj.get('properties')
                fid = obj.get('id')
            elif isinstance(obj, list):
                x, y, z = obj[:3]
                props = {}
                fid = None
            else:
                raise ValueError("Invalid input: %r", obj)
            west, south, east, north = mercantile.bounds(x, y, z)
            if projected == 'mercator':
                west, south = mercantile.xy(west, south, truncate=False)
                east, north = mercantile.xy(east, north, truncate=False)
            if buffer:
                west -= buffer
                south -= buffer
                east += buffer
                north += buffer
            if precision and precision >= 0:
                west, south, east, north = (
                    round(v, precision) for v in (west, south, east, north))
            bbox = [
                min(west, east), min(south, north),
                max(west, east), max(south, north)]
            col_xs.extend([west, east])
            col_ys.extend([south, north])
            geom = {
                'type': 'Polygon',
                'coordinates': [[
                    [west, south],
                    [west, north],
                    [east, north],
                    [east, south],
                    [west, south]]]}
            xyz = str((x, y, z))
            feature = {
                'type': 'Feature',
                'bbox': bbox,
                'id': xyz,
                'geometry': geom,
                'properties': {'title': 'XYZ tile %s' % xyz}}
            if props:
                feature['properties'].update(props)
            if fid:
                feature['id'] = fid
            if collect:
                features.append(feature)
            elif extents:
                click.echo(" ".join(map(str, bbox)))
            else:
                if seq:
                    click.echo(u'\x1e')
                if output_mode == 'bbox':
                    click.echo(json.dumps(bbox, **dump_kwds))
                elif output_mode == 'feature':
                    click.echo(json.dumps(feature, **dump_kwds))

        if collect and features:
            bbox = [min(col_xs), min(col_ys), max(col_xs), max(col_ys)]
            click.echo(json.dumps({
                'type': 'FeatureCollection',
                'bbox': bbox, 'features': features},
                **dump_kwds))

        sys.exit(0)
    except Exception:
        logger.exception("Failed. Exception caught")
        sys.exit(1)
Exemplo n.º 52
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def test_lnglat_xy_roundtrip():
    lnglat = (-105.0844, 40.5853)
    roundtrip = mercantile.lnglat(*mercantile.xy(*lnglat))
    for a, b in zip(roundtrip, lnglat):
        assert round(a - b, 4) == 0