githubmirror/zulip

zerver/lib/transfer.py
150 строк6 KB
Alex Vandiver
upload: Rename "upload_image_to_s3"; it is not only for images.
09 сен 2024, 22:40
09 сен 2024, 22:40ca72e75
import logging
import os
from concurrent.futures import ProcessPoolExecutor, as_completed

import bmemcached
import magic
from django.conf import settings
from django.core.cache import cache
from django.db import connection

from zerver.lib.avatar_hash import user_avatar_path
from zerver.lib.mime_types import guess_type
from zerver.lib.thumbnail import BadImageError
from zerver.lib.upload import upload_emoji_image, write_avatar_images
from zerver.lib.upload.s3 import S3UploadBackend, upload_content_to_s3
from zerver.models import Attachment, RealmEmoji, UserProfile

s3backend = S3UploadBackend()
mime_magic = magic.Magic(mime=True)


def transfer_uploads_to_s3(processes: int) -> None:
    # TODO: Eventually, we'll want to add realm icon and logo
    transfer_avatars_to_s3(processes)
    transfer_message_files_to_s3(processes)
    transfer_emoji_to_s3(processes)


def _transfer_avatar_to_s3(user: UserProfile) -> None:
    avatar_path = user_avatar_path(user)
    assert settings.LOCAL_UPLOADS_DIR is not None
    assert settings.LOCAL_AVATARS_DIR is not None
    file_path = os.path.join(settings.LOCAL_AVATARS_DIR, avatar_path)
    try:
        with open(file_path + ".original", "rb") as f:
            # We call write_avatar_images directly to walk around the
            # content-type checking in upload_avatar_image.  We don't
            # know the original file format, and we don't need to know
            # it because we never serve them directly.
            write_avatar_images(
                user_avatar_path(user, future=False),
                user,
                f.read(),
                content_type="application/octet-stream",
                backend=s3backend,
                future=False,
            )
            logging.info("Uploaded avatar for %s in realm %s", user.id, user.realm.name)
    except FileNotFoundError:
        pass


def transfer_avatars_to_s3(processes: int) -> None:
    users = list(UserProfile.objects.all())
    if processes == 1:
        for user in users:
            _transfer_avatar_to_s3(user)
    else:  # nocoverage
        connection.close()
        _cache = cache._cache  # type: ignore[attr-defined] # not in stubs
        assert isinstance(_cache, bmemcached.Client)
        _cache.disconnect_all()
        with ProcessPoolExecutor(max_workers=processes) as executor:
            for future in as_completed(
                executor.submit(_transfer_avatar_to_s3, user) for user in users
            ):
                future.result()


def _transfer_message_files_to_s3(attachment: Attachment) -> None:
    assert settings.LOCAL_UPLOADS_DIR is not None
    assert settings.LOCAL_FILES_DIR is not None
    file_path = os.path.join(settings.LOCAL_FILES_DIR, attachment.path_id)
    try:
        with open(file_path, "rb") as f:
            guessed_type = guess_type(attachment.file_name)[0]
            upload_content_to_s3(
                s3backend.uploads_bucket,
                attachment.path_id,
                guessed_type,
                attachment.owner,
                f.read(),
                storage_class=settings.S3_UPLOADS_STORAGE_CLASS,
            )
            logging.info("Uploaded message file in path %s", file_path)
    except FileNotFoundError:  # nocoverage
        pass


def transfer_message_files_to_s3(processes: int) -> None:
    attachments = list(Attachment.objects.all())
    if processes == 1:
        for attachment in attachments:
            _transfer_message_files_to_s3(attachment)
    else:  # nocoverage
        connection.close()
        _cache = cache._cache  # type: ignore[attr-defined] # not in stubs
        assert isinstance(_cache, bmemcached.Client)
        _cache.disconnect_all()
        with ProcessPoolExecutor(max_workers=processes) as executor:
            for future in as_completed(
                executor.submit(_transfer_message_files_to_s3, attachment)
                for attachment in attachments
            ):
                future.result()


def _transfer_emoji_to_s3(realm_emoji: RealmEmoji) -> None:
    if not realm_emoji.file_name or not realm_emoji.author:
        return  # nocoverage
    emoji_path = RealmEmoji.PATH_ID_TEMPLATE.format(
        realm_id=realm_emoji.realm.id,
        emoji_file_name=realm_emoji.file_name,
    )
    assert settings.LOCAL_UPLOADS_DIR is not None
    assert settings.LOCAL_AVATARS_DIR is not None
    content_type = guess_type(emoji_path)[0]
    emoji_path = os.path.join(settings.LOCAL_AVATARS_DIR, emoji_path) + ".original"
    if content_type is None:  # nocoverage
        # This should not be possible after zerver/migrations/0553_copy_emoji_images.py
        logging.error("Emoji %d has no recognizable file extension", realm_emoji.id)
        return
    try:
        with open(emoji_path, "rb") as f:
            upload_emoji_image(
                f, realm_emoji.file_name, realm_emoji.author, content_type, backend=s3backend
            )
            logging.info("Uploaded emoji file in path %s", emoji_path)
    except FileNotFoundError:  # nocoverage
        logging.error("Emoji %d could not be loaded from local disk", realm_emoji.id)
    except BadImageError as e:  # nocoverage
        # This should not be possible after zerver/migrations/0553_copy_emoji_images.py
        logging.error("Emoji %d is invalid: %s", realm_emoji.id, e)


def transfer_emoji_to_s3(processes: int) -> None:
    realm_emojis = list(RealmEmoji.objects.filter())
    if processes == 1:
        for realm_emoji in realm_emojis:
            _transfer_emoji_to_s3(realm_emoji)
    else:  # nocoverage
        connection.close()
        _cache = cache._cache  # type: ignore[attr-defined] # not in stubs
        assert isinstance(_cache, bmemcached.Client)
        _cache.disconnect_all()
        with ProcessPoolExecutor(max_workers=processes) as executor:
            for future in as_completed(
                executor.submit(_transfer_emoji_to_s3, realm_emoji) for realm_emoji in realm_emojis
            ):
                future.result()