import numpy as np from typing import List from fmframework.net.network import Network, ImageSizeNotAvailableException from fmframework.model.fm import Image import logging logger = logging.getLogger(__name__) def get_blank_image(height, width): return np.zeros((height, width, 3), np.uint8) def arrange_cover_grid(images: List[np.array], width: int = 5): logger.debug(f'arranging {len(images)} images at width {width}') rows = [] for row in chunk(images, width): row_img = row[0] for image in row[1:]: row_img = np.concatenate((row_img, image), axis=1) # handle incomplete final row if len(row) < width and len(rows) > 0: width = rows[0].shape[1] - row_img.shape[1] height = rows[0].shape[0] logger.debug(rows[0].shape) row_img = np.concatenate((row_img, get_blank_image(width=width, height=height)), axis=1) rows.append(row_img) final_img = rows[0] if len(rows) > 1: for row in rows[1:]: final_img = np.concatenate((final_img, row), axis=0) return final_img def get_image_grid_from_objects(net: Network, objects, image_size=None, final_scale=(300, 300), image_width: int = 5): logger.debug(f'getting {image_size.name if image_size is not None else "best"} image grid of {len(objects)} objects at width {image_width}') images = [] for counter, iter_object in enumerate(objects): logger.debug(f'downloading image {counter+1} of {len(objects)}') try: if image_size is None: downloaded = net.download_best_image(iter_object, final_scale=final_scale) else: downloaded = net.download_image_by_size(iter_object, size=image_size) if downloaded is not None: images.append(downloaded) else: images.append(get_blank_image(final_scale[0], final_scale[1])) except ImageSizeNotAvailableException: logger.error(f'{image_size.name if image_size is not None else "best"} image not available for {iter_object.name}') grid_image = arrange_cover_grid(images=images, width=image_width) return grid_image def chunk(l, n): for i in range(0, len(l), n): yield l[i:i+n] def generate_album_chart_grid(net: Network, chart_range: Network.Range, image_size: Image.Size = None, limit: int = 20, image_width: int = 5): chart = net.get_top_albums(period=chart_range, limit=limit) return get_image_grid_from_objects(net=net, objects=chart, image_size=image_size, image_width=image_width)