import logging import os import re from collections.abc import Iterator from contextlib import contextmanager from dataclasses import dataclass from typing import TypeVar import pyvips from bs4 import BeautifulSoup from django.utils.translation import gettext as _ from typing_extensions import override from zerver.lib.exceptions import ErrorCode, JsonableError from zerver.lib.queue import queue_event_on_commit from zerver.models import AbstractAttachment, ImageAttachment DEFAULT_AVATAR_SIZE = 100 MEDIUM_AVATAR_SIZE = 500 DEFAULT_EMOJI_SIZE = 64 # We refuse to deal with any image whose total pixelcount exceeds this. IMAGE_BOMB_TOTAL_PIXELS = 90000000 # Reject emoji which, after resizing, have stills larger than this MAX_EMOJI_GIF_FILE_SIZE_BYTES = 128 * 1024 # 128 kb T = TypeVar("T", bound="BaseThumbnailFormat") @dataclass(frozen=True) class BaseThumbnailFormat: extension: str max_width: int max_height: int animated: bool @override def __eq__(self, other: object) -> bool: if not isinstance(other, BaseThumbnailFormat): return False return str(self) == str(other) @override def __str__(self) -> str: animated = "-anim" if self.animated else "" return f"{self.max_width}x{self.max_height}{animated}.{self.extension}" @classmethod def from_string(cls: type[T], format_string: str) -> T | None: format_parts = re.match(r"(\d+)x(\d+)(-anim)?\.(\w+)$", format_string) if format_parts is None: return None return cls( max_width=int(format_parts[1]), max_height=int(format_parts[2]), animated=format_parts[3] is not None, extension=format_parts[4], ) @dataclass(frozen=True, eq=False) class ThumbnailFormat(BaseThumbnailFormat): opts: str | None = "" # Note that this is serialized into a JSONB column in the database, # and as such fields cannot be removed without a migration. @dataclass(frozen=True, eq=False) class StoredThumbnailFormat(BaseThumbnailFormat): content_type: str width: int height: int byte_size: int # Formats that we generate; the first animated and non-animated # options on this list are the ones which are written into # rendered_content. THUMBNAIL_OUTPUT_FORMATS = [ # We generate relatively large default "thumbnails", so that # clients that do not understand the thumbnailing protocol # (e.g. mobile) get something which does not look pixelated. This # is also useful when the web client lightbox temporarily shows an # upsized thumbnail while loading the full resolution image. ThumbnailFormat("webp", 840, 560, animated=True), ThumbnailFormat("webp", 840, 560, animated=False), ] # These are the image content-types which the server supports parsing # and thumbnailing; these do not need to supported on all browsers, # since we will the serving thumbnailed versions of them. Note that # this does not provide any *security*, since the content-type is # provided by the browser, and may not match the bytes they uploaded. # # This should be kept synced with the client-side image-picker in # web/upload_widget.ts. Any additions below must be accompanied by # changes to the pyvips block below as well. THUMBNAIL_ACCEPT_IMAGE_TYPES = frozenset( [ "image/avif", "image/gif", "image/heic", "image/jpeg", "image/png", "image/tiff", "image/webp", ] ) # This is what enforces security limitations on which formats are # parsed; we disable all loaders, then re-enable the ones we support # -- then explicitly disable any "untrusted" ones, in case libvips for # some reason marks one of the above formats as such (because they are # no longer fuzzed, for instance). # # Note that only libvips >= 8.13 (Ubuntu 24.04 or later, Debian 12 or # later) supports this! These are no-ops on earlier versions of libvips. pyvips.operation_block_set("VipsForeignLoad", True) pyvips.operation_block_set("VipsForeignLoadHeif", False) # image/avif, image/heic pyvips.operation_block_set("VipsForeignLoadNsgif", False) # image/gif pyvips.operation_block_set("VipsForeignLoadJpeg", False) # image/jpeg pyvips.operation_block_set("VipsForeignLoadPng", False) # image/png pyvips.operation_block_set("VipsForeignLoadTiff", False) # image/tiff pyvips.operation_block_set("VipsForeignLoadWebp", False) # image/webp pyvips.block_untrusted_set(True) # Disable the operations cache; our only use here is thumbnail_buffer, # which does not make use of it. pyvips.voperation.cache_set_max(0) class BadImageError(JsonableError): code = ErrorCode.BAD_IMAGE @contextmanager def libvips_check_image(image_data: bytes) -> Iterator[pyvips.Image]: # The primary goal of this is to verify that the image is valid, # and raise BadImageError otherwise. The yielded `source_image` # may be ignored, since calling `thumbnail_buffer` is faster than # calling `thumbnail_image` on a pyvips.Image, since the latter # cannot make use of shrink-on-load optimizations: # https://www.libvips.org/API/current/libvips-resample.html#vips-thumbnail-image try: source_image = pyvips.Image.new_from_buffer(image_data, "") except pyvips.Error: raise BadImageError(_("Could not decode image; did you upload an image file?")) if ( source_image.width * source_image.height * source_image.get_n_pages() > IMAGE_BOMB_TOTAL_PIXELS ): raise BadImageError(_("Image size exceeds limit.")) try: yield source_image except pyvips.Error as e: # nocoverage logging.exception(e) raise BadImageError(_("Image is corrupted or truncated")) def resize_avatar(image_data: bytes, size: int = DEFAULT_AVATAR_SIZE) -> bytes: # This will scale up, if necessary, and will scale the smallest # dimension to fit. That is, a 1x1000 image will end up with the # one middle pixel enlarged to fill the full square. with libvips_check_image(image_data): return pyvips.Image.thumbnail_buffer( image_data, size, height=size, crop=pyvips.Interesting.CENTRE, ).write_to_buffer(".png") def resize_logo(image_data: bytes) -> bytes: # This will only scale the image down, and will resize it to # preserve aspect ratio and be contained within 8*AVATAR by AVATAR # pixels; it does not add any padding to make it exactly that # size. A 1000x10 pixel image will end up as 800x8; a 10x10 will # end up 10x10. with libvips_check_image(image_data): return pyvips.Image.thumbnail_buffer( image_data, 8 * DEFAULT_AVATAR_SIZE, height=DEFAULT_AVATAR_SIZE, size=pyvips.Size.DOWN, ).write_to_buffer(".png") def resize_emoji( image_data: bytes, emoji_file_name: str, size: int = DEFAULT_EMOJI_SIZE ) -> tuple[bytes, bytes | None]: # Square brackets are used for providing options to libvips' save # operation; the extension on the filename comes from reversing # the content-type, which removes most of the attacker control of # this string, but assert it has no bracketed pieces for safety. write_file_ext = os.path.splitext(emoji_file_name)[1] assert "[" not in write_file_ext # This function returns two values: # 1) Emoji image data. # 2) If it is animated, the still image data i.e. first frame of gif. with libvips_check_image(image_data) as source_image: if source_image.get_n_pages() == 1: return ( pyvips.Image.thumbnail_buffer( image_data, size, height=size, crop=pyvips.Interesting.CENTRE, ).write_to_buffer(write_file_ext), None, ) first_still = pyvips.Image.thumbnail_buffer( image_data, size, height=size, crop=pyvips.Interesting.CENTRE, ).write_to_buffer(".png") animated = pyvips.Image.thumbnail_buffer( image_data, size, height=size, # This is passed to the loader, and means "load all # frames", instead of the default of just the first option_string="n=-1", ) if animated.width != animated.get("page-height"): # If the image is non-square, we have to iterate the # frames to add padding to make it so if not animated.hasalpha(): animated = animated.addalpha() frames = [ frame.gravity( pyvips.CompassDirection.CENTRE, size, size, extend=pyvips.Extend.BACKGROUND, background=[0, 0, 0, 0], ) for frame in animated.pagesplit() ] animated = frames[0].pagejoin(frames[1:]) return (animated.write_to_buffer(write_file_ext), first_still) def missing_thumbnails(image_attachment: ImageAttachment) -> list[ThumbnailFormat]: seen_thumbnails: set[StoredThumbnailFormat] = set() for existing_thumbnail in image_attachment.thumbnail_metadata: seen_thumbnails.add(StoredThumbnailFormat(**existing_thumbnail)) # We use the shared `__eq__` method from BaseThumbnailFormat to # compare between the StoredThumbnailFormat values pulled from the # database, and the ThumbnailFormat values in # THUMBNAIL_OUTPUT_FORMATS. needed_thumbnails = [ thumbnail_format for thumbnail_format in THUMBNAIL_OUTPUT_FORMATS if thumbnail_format not in seen_thumbnails ] if image_attachment.frames == 1: # We do not generate -anim versions if the source is still needed_thumbnails = [ thumbnail_format for thumbnail_format in needed_thumbnails if not thumbnail_format.animated ] return needed_thumbnails def maybe_thumbnail(attachment: AbstractAttachment, content: bytes) -> ImageAttachment | None: if attachment.content_type not in THUMBNAIL_ACCEPT_IMAGE_TYPES: # If it doesn't self-report as an image file that we might want # to thumbnail, don't parse the bytes at all. return None try: # This only attempts to read the header, not the full image content with libvips_check_image(content) as image: # "original_width_px" and "original_height_px" here are # _as rendered_, after applying the orientation # information which the image may contain. if ( "orientation" in image.get_fields() and image.get("orientation") >= 5 and image.get("orientation") <= 8 ): (width, height) = (image.height, image.width) else: (width, height) = (image.width, image.height) image_row = ImageAttachment.objects.create( realm_id=attachment.realm_id, path_id=attachment.path_id, original_width_px=width, original_height_px=height, frames=image.get_n_pages(), thumbnail_metadata=[], ) queue_event_on_commit("thumbnail", {"id": image_row.id}) return image_row except BadImageError: return None def get_image_thumbnail_path( image_attachment: ImageAttachment, thumbnail_format: BaseThumbnailFormat, ) -> str: return f"thumbnail/{image_attachment.path_id}/{thumbnail_format!s}" def split_thumbnail_path(file_path: str) -> tuple[str, BaseThumbnailFormat]: assert file_path.startswith("thumbnail/") path_parts = file_path.split("/") thumbnail_format = BaseThumbnailFormat.from_string(path_parts.pop()) assert thumbnail_format is not None path_id = "/".join(path_parts[1:]) return path_id, thumbnail_format @dataclass class MarkdownImageMetadata: url: str is_animated: bool original_width_px: int original_height_px: int def get_user_upload_previews( realm_id: int, content: str, lock: bool = False, enqueue: bool = True, path_ids: list[str] | None = None, ) -> dict[str, MarkdownImageMetadata | None]: if path_ids is None: path_ids = re.findall(r"/user_uploads/(\d+/[/\w.-]+)", content) if not path_ids: return {} upload_preview_data: dict[str, MarkdownImageMetadata | None] = {} image_attachments = ImageAttachment.objects.filter(realm_id=realm_id, path_id__in=path_ids) if lock: image_attachments = image_attachments.select_for_update() for image_attachment in image_attachments: if image_attachment.thumbnail_metadata == []: # Image exists, and header of it parsed as a valid image, # but has not been thumbnailed yet; we will render a # spinner. upload_preview_data[image_attachment.path_id] = None # We re-queue the row for thumbnailing to make sure that # we do eventually thumbnail it (e.g. if this is a # historical upload from before this system, which we # backfilled ImageAttachment rows for); this is a no-op in # the worker if all of the currently-configured thumbnail # formats have already been generated. if enqueue: queue_event_on_commit("thumbnail", {"id": image_attachment.id}) else: url, is_animated = get_default_thumbnail_url(image_attachment) upload_preview_data[image_attachment.path_id] = MarkdownImageMetadata( url=url, is_animated=is_animated, original_width_px=image_attachment.original_width_px, original_height_px=image_attachment.original_height_px, ) return upload_preview_data def get_default_thumbnail_url(image_attachment: ImageAttachment) -> tuple[str, bool]: # For "dumb" clients which cannot rewrite it into their # preferred format and size, we choose the first one in # THUMBNAIL_OUTPUT_FORMATS which matches the animated/not # nature of the source image. found_format: ThumbnailFormat | None = None for thumbnail_format in THUMBNAIL_OUTPUT_FORMATS: if thumbnail_format.animated == (image_attachment.frames > 1): found_format = thumbnail_format break if found_format is None: # No animated thumbnail formats exist somehow, and the # image is animated? Just take the first thumbnail # format. found_format = THUMBNAIL_OUTPUT_FORMATS[0] return ( "/user_uploads/" + get_image_thumbnail_path(image_attachment, found_format), found_format.animated, ) def rewrite_thumbnailed_images( rendered_content: str, images: dict[str, MarkdownImageMetadata | None], to_delete: set[str] | None = None, ) -> tuple[str | None, set[str]]: if not images and not to_delete: return None, set() remaining_thumbnails = set() parsed_message = BeautifulSoup(rendered_content, "html.parser") changed = False for inline_image_div in parsed_message.find_all("div", class_="message_inline_image"): image_link = inline_image_div.find("a") if ( image_link is None or image_link["href"] is None or not image_link["href"].startswith("/user_uploads/") ): # This is not an inline image generated by the markdown # processor for a locally-uploaded image. continue image_tag = image_link.find("img", class_="image-loading-placeholder") if image_tag is None: # The placeholder was already replaced -- for instance, # this is expected if multiple images are included in the # same message. The second time this is run, for the # second image, the first image will have no placeholder. continue path_id = image_link["href"][len("/user_uploads/") :] if to_delete and path_id in to_delete: # This was not a valid thumbnail target, for some reason. # Trim out the whole "message_inline_image" element, since # it's not going be renderable by clients either. inline_image_div.decompose() changed = True continue image_data = images.get(path_id) if image_data is None: # Has not been thumbnailed yet; leave it as a spinner. # This happens routinely when a message contained multiple # unthumbnailed images, and only one of those images just # completed thumbnailing. remaining_thumbnails.add(path_id) else: changed = True del image_tag["class"] image_tag["src"] = image_data.url image_tag["data-original-dimensions"] = ( f"{image_data.original_width_px}x{image_data.original_height_px}" ) if image_data.is_animated: image_tag["data-animated"] = "true" if changed: # The formatter="html5" means we do not produce self-closing tags return parsed_message.encode(formatter="html5").decode().strip(), remaining_thumbnails else: return None, remaining_thumbnails