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230bae17bb
If the content-type of the image is not in INLINE_MIME_TYPES, then we do not expect browsers to be able to display it. This behaviour is particularly confusing because the thumbnail will render properly, since that will be in the more widely-supported WebP format, but the lightbox will show a broken image. In these cases, generate a high-resolution (4032x3024) "thumbnail" which clients can choose to use instead. This thumbnail format is not in the listed in the server's advertised thumbnail size list, because it is not reliably generated for every image. The transcoded thumbnail format is set on the `img` tag if it is generated, and the original content-type is always passed to the client, so it can decide how or if to render the original image. This content-type is as the _original uploader_ specified it, so may be incorrect. The transcoded image is not animated, even if the original was. HEIC files can nominally be animated, but in testing libvips was not able to correctly recognize them as such. TIFF files are parsed as being "animated," with one page per frame; this is of dubious utility, so we merely transcode the first page. Always generating a static transcoded image serves to also limit the computational time spent. THUMBNAIL_OUTPUT_FORMATS is switched to be a tuple to ensure that it is not accidentally mutated.
556 lines
21 KiB
Python
556 lines
21 KiB
Python
import logging
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import os
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import re
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from collections.abc import Iterator
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from contextlib import contextmanager
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from dataclasses import dataclass
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from typing import TypeVar
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import pyvips
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from bs4 import BeautifulSoup
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from bs4.formatter import EntitySubstitution, HTMLFormatter
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from django.db.models import OuterRef, Subquery
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from django.utils.translation import gettext as _
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from typing_extensions import override
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from zerver.lib.exceptions import ErrorCode, JsonableError
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from zerver.lib.mime_types import INLINE_MIME_TYPES
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from zerver.lib.queue import queue_event_on_commit
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from zerver.models import Attachment, ImageAttachment
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DEFAULT_AVATAR_SIZE = 100
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MEDIUM_AVATAR_SIZE = 500
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DEFAULT_EMOJI_SIZE = 64
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# We refuse to deal with any image whose total pixelcount exceeds this.
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IMAGE_BOMB_TOTAL_PIXELS = 90000000
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# Reject emoji which, after resizing, have stills larger than this
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MAX_EMOJI_GIF_FILE_SIZE_BYTES = 128 * 1024 # 128 kb
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T = TypeVar("T", bound="BaseThumbnailFormat")
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@dataclass(frozen=True)
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class BaseThumbnailFormat:
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extension: str
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max_width: int
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max_height: int
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animated: bool
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@override
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def __eq__(self, other: object) -> bool:
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if not isinstance(other, BaseThumbnailFormat):
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return False
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return str(self) == str(other)
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@override
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def __str__(self) -> str:
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animated = "-anim" if self.animated else ""
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return f"{self.max_width}x{self.max_height}{animated}.{self.extension}"
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@classmethod
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def from_string(cls: type[T], format_string: str) -> T | None:
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format_parts = re.match(r"(\d+)x(\d+)(-anim)?\.(\w+)$", format_string)
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if format_parts is None:
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return None
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return cls(
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max_width=int(format_parts[1]),
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max_height=int(format_parts[2]),
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animated=format_parts[3] is not None,
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extension=format_parts[4],
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)
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@dataclass(frozen=True, eq=False)
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class ThumbnailFormat(BaseThumbnailFormat):
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opts: str | None = ""
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# Note that this is serialized into a JSONB column in the database,
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# and as such fields cannot be removed without a migration.
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@dataclass(frozen=True, eq=False)
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class StoredThumbnailFormat(BaseThumbnailFormat):
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content_type: str
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width: int
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height: int
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byte_size: int
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# Formats that we generate; the first animated and non-animated
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# options on this list are the ones which are written into
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# rendered_content.
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THUMBNAIL_OUTPUT_FORMATS = (
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# We generate relatively large default "thumbnails", so that
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# clients that do not understand the thumbnailing protocol
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# (e.g. mobile) get something which does not look pixelated. This
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# is also useful when the web client lightbox temporarily shows an
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# upsized thumbnail while loading the full resolution image.
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ThumbnailFormat("webp", 840, 560, animated=True),
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ThumbnailFormat("webp", 840, 560, animated=False),
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)
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# This format is generated, in addition to THUMBNAIL_OUTPUT_FORMATS,
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# for images in THUMBNAIL_ACCEPT_IMAGE_TYPES which are not in
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# INLINE_MIME_TYPES: somewhat-common image types which are not broadly
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# supported by browsers.
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TRANSCODED_IMAGE_FORMAT = ThumbnailFormat("webp", 4032, 3024, animated=False)
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# These are the image content-types which the server supports parsing
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# and thumbnailing; these do not need to supported on all browsers,
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# since we will the serving thumbnailed versions of them. Note that
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# this does not provide any *security*, since the content-type is
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# provided by the browser, and may not match the bytes they uploaded.
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#
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# This should be kept synced with the client-side image-picker in
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# web/upload_widget.ts. Any additions below must be accompanied by
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# changes to the pyvips block below as well.
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THUMBNAIL_ACCEPT_IMAGE_TYPES = frozenset(
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[
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"image/avif",
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"image/gif",
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"image/heic",
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"image/jpeg",
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"image/png",
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"image/tiff",
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"image/webp",
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]
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)
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# This is what enforces security limitations on which formats are
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# parsed; we disable all loaders, then re-enable the ones we support
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# -- then explicitly disable any "untrusted" ones, in case libvips for
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# some reason marks one of the above formats as such (because they are
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# no longer fuzzed, for instance).
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#
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# Note that only libvips >= 8.13 (Ubuntu 24.04 or later, Debian 12 or
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# later) supports this! These are no-ops on earlier versions of libvips.
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pyvips.operation_block_set("VipsForeignLoad", True)
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pyvips.operation_block_set("VipsForeignLoadHeif", False) # image/avif, image/heic
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pyvips.operation_block_set("VipsForeignLoadNsgif", False) # image/gif
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pyvips.operation_block_set("VipsForeignLoadJpeg", False) # image/jpeg
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pyvips.operation_block_set("VipsForeignLoadPng", False) # image/png
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pyvips.operation_block_set("VipsForeignLoadTiff", False) # image/tiff
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pyvips.operation_block_set("VipsForeignLoadWebp", False) # image/webp
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pyvips.block_untrusted_set(True)
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# Disable the operations cache; our only use here is thumbnail_buffer,
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# which does not make use of it.
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pyvips.voperation.cache_set_max(0)
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class BadImageError(JsonableError):
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code = ErrorCode.BAD_IMAGE
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@contextmanager
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def libvips_check_image(image_data: bytes | pyvips.Source) -> Iterator[pyvips.Image]:
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# The primary goal of this is to verify that the image is valid,
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# and raise BadImageError otherwise. The yielded `source_image`
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# may be ignored, since calling `thumbnail_buffer` is faster than
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# calling `thumbnail_image` on a pyvips.Image, since the latter
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# cannot make use of shrink-on-load optimizations:
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# https://www.libvips.org/API/current/libvips-resample.html#vips-thumbnail-image
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try:
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if isinstance(image_data, bytes):
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source_image = pyvips.Image.new_from_buffer(image_data, "")
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else:
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source_image = pyvips.Image.new_from_source(image_data, "", access="sequential")
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except pyvips.Error:
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raise BadImageError(_("Could not decode image; did you upload an image file?"))
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if (
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source_image.width * source_image.height * source_image.get_n_pages()
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> IMAGE_BOMB_TOTAL_PIXELS
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):
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raise BadImageError(_("Image size exceeds limit."))
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try:
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yield source_image
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except pyvips.Error as e: # nocoverage
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logging.exception(e)
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raise BadImageError(_("Image is corrupted or truncated"))
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def resize_avatar(image_data: bytes, size: int = DEFAULT_AVATAR_SIZE) -> bytes:
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# This will scale up, if necessary, and will scale the smallest
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# dimension to fit. That is, a 1x1000 image will end up with the
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# one middle pixel enlarged to fill the full square.
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with libvips_check_image(image_data):
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return pyvips.Image.thumbnail_buffer(
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image_data,
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size,
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height=size,
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crop=pyvips.Interesting.CENTRE,
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).write_to_buffer(".png")
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def resize_realm_icon(image_data: bytes) -> bytes:
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return resize_avatar(image_data)
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def resize_logo(image_data: bytes) -> bytes:
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# This will only scale the image down, and will resize it to
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# preserve aspect ratio and be contained within 8*AVATAR by AVATAR
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# pixels; it does not add any padding to make it exactly that
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# size. A 1000x10 pixel image will end up as 800x8; a 10x10 will
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# end up 10x10.
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with libvips_check_image(image_data):
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return pyvips.Image.thumbnail_buffer(
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image_data,
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8 * DEFAULT_AVATAR_SIZE,
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height=DEFAULT_AVATAR_SIZE,
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size=pyvips.Size.DOWN,
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).write_to_buffer(".png")
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def resize_emoji(
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image_data: bytes, emoji_file_name: str, size: int = DEFAULT_EMOJI_SIZE
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) -> tuple[bytes, bytes | None]:
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# Square brackets are used for providing options to libvips' save
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# operation; the extension on the filename comes from reversing
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# the content-type, which removes most of the attacker control of
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# this string, but assert it has no bracketed pieces for safety.
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write_file_ext = os.path.splitext(emoji_file_name)[1]
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assert "[" not in write_file_ext
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# This function returns two values:
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# 1) Emoji image data.
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# 2) If it is animated, the still image data i.e. first frame of gif.
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with libvips_check_image(image_data) as source_image:
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if source_image.get_n_pages() == 1:
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return (
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pyvips.Image.thumbnail_buffer(
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image_data,
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size,
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height=size,
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crop=pyvips.Interesting.CENTRE,
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).write_to_buffer(write_file_ext),
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None,
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)
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first_still = pyvips.Image.thumbnail_buffer(
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image_data,
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size,
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height=size,
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crop=pyvips.Interesting.CENTRE,
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).write_to_buffer(".png")
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animated = pyvips.Image.thumbnail_buffer(
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image_data,
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size,
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height=size,
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# This is passed to the loader, and means "load all
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# frames", instead of the default of just the first
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option_string="n=-1",
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)
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if animated.width != animated.get("page-height"):
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# If the image is non-square, we have to iterate the
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# frames to add padding to make it so
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if not animated.hasalpha():
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animated = animated.addalpha()
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frames = [
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frame.gravity(
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pyvips.CompassDirection.CENTRE,
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size,
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size,
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extend=pyvips.Extend.BACKGROUND,
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background=[0, 0, 0, 0],
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)
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for frame in animated.pagesplit()
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]
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animated = frames[0].pagejoin(frames[1:])
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return (animated.write_to_buffer(write_file_ext), first_still)
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def missing_thumbnails(
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image_attachment: ImageAttachment, original_content_type: str | None = None
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) -> list[ThumbnailFormat]:
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seen_thumbnails: set[StoredThumbnailFormat] = set()
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for existing_thumbnail in image_attachment.thumbnail_metadata:
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seen_thumbnails.add(StoredThumbnailFormat(**existing_thumbnail))
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potential_output_formats = list(THUMBNAIL_OUTPUT_FORMATS)
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if original_content_type is None or original_content_type not in INLINE_MIME_TYPES:
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if image_attachment.original_width_px >= image_attachment.original_height_px:
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additional_format = ThumbnailFormat(
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TRANSCODED_IMAGE_FORMAT.extension,
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TRANSCODED_IMAGE_FORMAT.max_width,
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TRANSCODED_IMAGE_FORMAT.max_height,
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TRANSCODED_IMAGE_FORMAT.animated,
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)
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else:
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additional_format = ThumbnailFormat(
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TRANSCODED_IMAGE_FORMAT.extension,
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# Swap width and height to make a portrait-oriented version
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TRANSCODED_IMAGE_FORMAT.max_height,
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TRANSCODED_IMAGE_FORMAT.max_width,
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TRANSCODED_IMAGE_FORMAT.animated,
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)
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potential_output_formats.append(additional_format)
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# We use the shared `__eq__` method from BaseThumbnailFormat to
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# compare between the StoredThumbnailFormat values pulled from the
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# database, and the ThumbnailFormat values in
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# THUMBNAIL_OUTPUT_FORMATS.
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needed_thumbnails = [
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thumbnail_format
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for thumbnail_format in potential_output_formats
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if thumbnail_format not in seen_thumbnails
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]
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if image_attachment.frames == 1:
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# We do not generate -anim versions if the source is still
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needed_thumbnails = [
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thumbnail_format
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for thumbnail_format in needed_thumbnails
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if not thumbnail_format.animated
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]
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return needed_thumbnails
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def maybe_thumbnail(
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content: bytes | pyvips.Source, content_type: str | None, path_id: str, realm_id: int
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) -> ImageAttachment | None:
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if content_type not in THUMBNAIL_ACCEPT_IMAGE_TYPES:
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# If it doesn't self-report as an image file that we might want
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# to thumbnail, don't parse the bytes at all.
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return None
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try:
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# This only attempts to read the header, not the full image content
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with libvips_check_image(content) as image:
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# "original_width_px" and "original_height_px" here are
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# _as rendered_, after applying the orientation
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# information which the image may contain.
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if (
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"orientation" in image.get_fields()
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and image.get("orientation") >= 5
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and image.get("orientation") <= 8
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):
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(width, height) = (image.height, image.width)
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else:
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(width, height) = (image.width, image.height)
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image_row = ImageAttachment.objects.create(
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realm_id=realm_id,
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path_id=path_id,
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original_width_px=width,
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original_height_px=height,
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frames=image.get_n_pages(),
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thumbnail_metadata=[],
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)
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queue_event_on_commit("thumbnail", {"id": image_row.id})
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return image_row
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except BadImageError:
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return None
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def get_image_thumbnail_path(
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image_attachment: ImageAttachment,
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thumbnail_format: BaseThumbnailFormat,
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) -> str:
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return f"thumbnail/{image_attachment.path_id}/{thumbnail_format!s}"
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def split_thumbnail_path(file_path: str) -> tuple[str, BaseThumbnailFormat]:
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assert file_path.startswith("thumbnail/")
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path_parts = file_path.split("/")
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thumbnail_format = BaseThumbnailFormat.from_string(path_parts.pop())
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assert thumbnail_format is not None
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path_id = "/".join(path_parts[1:])
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return path_id, thumbnail_format
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@dataclass
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class MarkdownImageMetadata:
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url: str | None
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is_animated: bool
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original_width_px: int
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original_height_px: int
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original_content_type: str | None
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transcoded_image: StoredThumbnailFormat | None = None
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def get_user_upload_previews(
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realm_id: int,
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content: str,
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lock: bool = False,
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enqueue: bool = True,
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path_ids: list[str] | None = None,
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) -> dict[str, MarkdownImageMetadata]:
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if path_ids is None:
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path_ids = re.findall(r"/user_uploads/(\d+/[/\w.-]+)", content)
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if not path_ids:
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return {}
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upload_preview_data: dict[str, MarkdownImageMetadata] = {}
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image_attachments = (
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ImageAttachment.objects.filter(realm_id=realm_id, path_id__in=path_ids)
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.annotate(
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original_content_type=Subquery(
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Attachment.objects.filter(path_id=OuterRef("path_id")).values("content_type")
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)
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)
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.order_by("id")
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)
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if lock:
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image_attachments = image_attachments.select_for_update(of=("self",))
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for image_attachment in image_attachments:
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if image_attachment.thumbnail_metadata == []:
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# Image exists, and header of it parsed as a valid image,
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# but has not been thumbnailed yet; we will render a
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# spinner.
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upload_preview_data[image_attachment.path_id] = MarkdownImageMetadata(
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url=None,
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is_animated=False,
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original_width_px=image_attachment.original_width_px,
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original_height_px=image_attachment.original_height_px,
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original_content_type=image_attachment.original_content_type,
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)
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# We re-queue the row for thumbnailing to make sure that
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# we do eventually thumbnail it (e.g. if this is a
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# historical upload from before this system, which we
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# backfilled ImageAttachment rows for); this is a no-op in
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# the worker if all of the currently-configured thumbnail
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# formats have already been generated.
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if enqueue:
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queue_event_on_commit("thumbnail", {"id": image_attachment.id})
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else:
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url, is_animated = get_default_thumbnail_url(image_attachment)
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upload_preview_data[image_attachment.path_id] = MarkdownImageMetadata(
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url=url,
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is_animated=is_animated,
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original_width_px=image_attachment.original_width_px,
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original_height_px=image_attachment.original_height_px,
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original_content_type=image_attachment.original_content_type,
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transcoded_image=get_transcoded_format(
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image_attachment, image_attachment.original_content_type
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),
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)
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return upload_preview_data
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def get_default_thumbnail_url(image_attachment: ImageAttachment) -> tuple[str, bool]:
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# For "dumb" clients which cannot rewrite it into their
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# preferred format and size, we choose the first one in
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# THUMBNAIL_OUTPUT_FORMATS which matches the animated/not
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# nature of the source image.
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found_format: ThumbnailFormat | None = None
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for thumbnail_format in THUMBNAIL_OUTPUT_FORMATS:
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if thumbnail_format.animated == (image_attachment.frames > 1):
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found_format = thumbnail_format
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break
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if found_format is None:
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# No animated thumbnail formats exist somehow, and the
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# image is animated? Just take the first thumbnail
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# format.
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found_format = THUMBNAIL_OUTPUT_FORMATS[0]
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return (
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"/user_uploads/" + get_image_thumbnail_path(image_attachment, found_format),
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found_format.animated,
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)
|
|
|
|
|
|
def get_transcoded_format(
|
|
image_attachment: ImageAttachment, original_content_type: str | None
|
|
) -> StoredThumbnailFormat | None:
|
|
# Returns None if the original content-type is judged to be
|
|
# renderable inline. Otherwise, we return the largest thumbnail
|
|
# that we generated. Since formats which are thumbnailable but
|
|
# not in INLINE_MIME_TYPES get an extra large-resolution thumbnail
|
|
# added to their list of formats, this is thus either None or a
|
|
# high-resolution thumbnail.
|
|
if original_content_type is None or original_content_type in INLINE_MIME_TYPES:
|
|
return None
|
|
|
|
thumbs_by_size = sorted(
|
|
(StoredThumbnailFormat(**d) for d in image_attachment.thumbnail_metadata),
|
|
key=lambda t: t.width * t.height,
|
|
)
|
|
return thumbs_by_size.pop() if thumbs_by_size else None
|
|
|
|
|
|
# Like HTMLFormatter.REGISTRY["html5"], this formatter avoids producing
|
|
# self-closing tags, but it differs by avoiding unnecessary escaping with
|
|
# HTML5-specific entities that cannot be parsed by lxml and libxml2
|
|
# (https://bugs.launchpad.net/lxml/+bug/2031045).
|
|
html_formatter = HTMLFormatter(
|
|
entity_substitution=EntitySubstitution.substitute_xml, # not substitute_html
|
|
void_element_close_prefix="",
|
|
empty_attributes_are_booleans=True,
|
|
)
|
|
|
|
|
|
def rewrite_thumbnailed_images(
|
|
rendered_content: str,
|
|
images: dict[str, MarkdownImageMetadata],
|
|
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"].removeprefix("/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:
|
|
# The message has multiple images, and we're updating just
|
|
# one image, and it's not this one. Leave this one as-is.
|
|
remaining_thumbnails.add(path_id)
|
|
elif image_data.url is None:
|
|
# We're re-rendering the whole message, so fetched all of
|
|
# the image metadata rows; this is one of the images we
|
|
# about, but is not thumbnailed yet.
|
|
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}"
|
|
)
|
|
image_tag["data-original-content-type"] = image_data.original_content_type
|
|
if image_data.is_animated:
|
|
image_tag["data-animated"] = "true"
|
|
if image_data.transcoded_image is not None:
|
|
image_tag["data-transcoded-image"] = str(image_data.transcoded_image)
|
|
|
|
if changed:
|
|
return parsed_message.encode(
|
|
formatter=html_formatter
|
|
).decode().strip(), remaining_thumbnails
|
|
else:
|
|
return None, remaining_thumbnails
|