mirror of https://github.com/nathom/streamrip.git
108 lines
3.3 KiB
Python
108 lines
3.3 KiB
Python
import asyncio
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import os
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import aiohttp
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from PIL import Image
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from .config import ArtworkConfig
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from .downloadable import BasicDownloadable
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from .metadata import Covers
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async def download_artwork(
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session: aiohttp.ClientSession, folder: str, covers: Covers, config: ArtworkConfig
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) -> tuple[str | None, str | None]:
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"""Download artwork, which may include a seperate file to keep.
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Also updates the passed Covers object with downloaded filepaths.
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Because it is a single, we will assume that none of the covers have already been
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downloaded, so existing paths in `covers` will be discarded and overwritten.
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Args:
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covers (Covers): The set of available covers.
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Returns:
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(path to embed cover, path to hires cover)
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The path of the cover to embed, or None if there either is no artwork available or
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if artwork embedding is turned off.
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"""
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if (not config.save_artwork and not config.embed) or covers.empty():
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# No need to download anything
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return None, None
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downloadables = []
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saved_cover_path = None
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if config.save_artwork:
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_, l_url, _ = covers.largest()
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assert l_url is not None # won't be true unless covers is empty
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saved_cover_path = os.path.join(folder, "cover.jpg")
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downloadables.append(
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BasicDownloadable(session, l_url, "jpg").download(
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saved_cover_path, lambda _: None
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)
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)
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embed_cover_path = None
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if config.embed:
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_, embed_url, _ = covers.get_size(config.embed_size)
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assert embed_url is not None
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embed_cover_path = os.path.join(folder, "embed_cover.jpg")
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downloadables.append(
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BasicDownloadable(session, embed_url, "jpg").download(
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embed_cover_path, lambda _: None
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)
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)
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await asyncio.gather(*downloadables)
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# Update `covers` to reflect the current download state
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if config.save_artwork:
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assert saved_cover_path is not None
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covers.set_largest_path(saved_cover_path)
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if config.saved_max_width > 0:
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downscale_image(saved_cover_path, config.saved_max_width)
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if config.embed:
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assert embed_cover_path is not None
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covers.set_path(config.embed_size, embed_cover_path)
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if config.embed_max_width > 0:
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downscale_image(embed_cover_path, config.embed_max_width)
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return embed_cover_path, saved_cover_path
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def downscale_image(input_image_path: str, max_dimension: int):
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"""Downscale an image in place given a maximum allowed dimension.
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Args:
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input_image_path (str): Path to image
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max_dimension (int): Maximum dimension allowed
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Returns:
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"""
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# Open the image
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image = Image.open(input_image_path)
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# Get the original width and height
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width, height = image.size
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if max_dimension <= max(width, height):
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return
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# Calculate the new dimensions while maintaining the aspect ratio
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if width > height:
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new_width = max_dimension
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new_height = int(height * (max_dimension / width))
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else:
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new_height = max_dimension
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new_width = int(width * (max_dimension / height))
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# Resize the image with the new dimensions
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resized_image = image.resize((new_width, new_height))
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# Save the resized image
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resized_image.save(input_image_path)
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