def __preprocess_computed_layer()

in src/mapillary/models/api/vector_tiles.py [0:0]

• 15 lines of code
• 5 McCabe index (conditional complexity)

    def __preprocess_computed_layer(self, layer: str, tile: mercantile.Tile, zoom: int):
        """
        Preprocessing computed layers

        :param layer: Either 'overview', 'sequence', 'image'
        :type layer: str

        :param tile: The specified tile
        :type tile: mercantile.Tile

        :param zoom: The zoom level
        :type zoom: int

        :return: A GeoJSON
        :rtype: dict
        """

        # * See "FOR DEVELOPERS (3, 3.1)"

        # Extracting url from specified VectorTiles endpoint
        url = ""

        # For overview
        if layer == "overview":
            url = VectorTiles.get_computed_overview_layer(x=tile[0], y=tile[1], z=zoom)

        # For sequence
        elif layer == "sequence":
            url = VectorTiles.get_computed_sequence_layer(x=tile[0], y=tile[1], z=zoom)

        # For image
        elif layer == "image":
            url = VectorTiles.get_computed_image_layer(x=tile[0], y=tile[1], z=zoom)

        # No 'else' for InvalidOptionError, as checking done previously in __zoom_range_check

        # Convert bytes to geojson
        return vt_bytes_to_geojson(
            # Parameters appropriately
            b_content=self.client.get(url).content,
            x=tile.x,
            y=tile.y,
            z=tile.z,
            layer=layer,
        )