我继承了一个 Django 项目，我们已经将图像移动到 S3

其中一个模型是典型的用户画像

class Profile(UUIDBase):

    first_name = models.CharField(_("First Name"), max_length=20)
    last_name = models.CharField(_("Last Name"), max_length=20, null=True)
    profile_image = models.ImageField(
        _("Profile Image"),
        upload_to=profile_image_name,
         max_length=254,
        blank=True,
        null=True
    )
    profile_image_thumb = models.ImageField(
        _("Profile Image Thumbnail"),
        upload_to=profile_image_name,
        max_length=254,
        blank=True,
       null=True
    )
    ... other fields

profile_image_name 是一个函数:

def profile_image_name(instance, filename):
    if filename:
        target_dir = 'uploads/profile_img/'
        _, ext = filename.rsplit('.', 1)
        filename = str(instance.uid) + '.' + ext
        return '/'.join([target_dir, filename])

我有一些有效的代码:

@shared_task
def resize_image(image_path, dim_x, append_str='_resized', **kwargs):
    '''
    resize any image_obj while maintaining aspect ratio
    '''
    orig = storage.open(image_path, 'r')
    im = Image.open(orig, mode='r')
    new_y = (float(dim_x) * float(im.height)) / float(im.width)
    new_im = im.resize((dim_x, int(new_y)), Image.ANTIALIAS)
    img_path, img_name = path.split(image_path)
    file_name, img_ext = img_name.rsplit('.', 1)
    new_img_path = path.join(img_path, file_name + append_str + '.' + img_ext)
    try:
        new_f = storage.open(new_img_path, 'w')
    except IOError as e:
        logger.critical("Caught IOError in {}, {}".format(__file__, e))
        ravenclient.captureException()
        return None
    try:
        new_im.save(new_f)
    except IOError as e:
        logger.critical("Caught IOError in {}, {}".format(__file__, e))
        ravenclient.captureException()
       return None
    except Exception as e:
       logger.critical("Caught unhandled exception in {}. {}".format(
        __file__, e)
       )
       ravenclient.captureException()
       return None
    im.close()
    new_im.close()
    new_f.close()
    return new_img_path

从 post_save 信号处理程序调用:

@receiver(post_save, sender=Profile, dispatch_uid='resize_profile_image')
def resize_profile_image(sender, instance=None, created=False, **kwargs):
    if created:
        if instance.profile_image:
            width, height = image_dimensions(instance.profile_image.name)
            print(width, height)
            if width > MAX_WIDTH:
                result = resize_image.delay(instance.profile_image.name, MAX_WIDTH)
                instance.profile_image.name = result.get()
            if width > THUMB_WIDTH:
                result = resize_image.delay(
                    instance.profile_image.name,
                    THUMB_WIDTH, 
                    append_str='_thumb'
                )
                instance.profile_image_thumb.name = result.get()
            try:
                instance.save()
            except Exception as e:
                log.critical("Unhandled exception in {}, {}".format(__name__, e))
                ravenclient.captureException()

目的是获取上传的图像并调整它们的大小 1) 到移动设备可以显示的最大宽度和 2) 到 50 像素的缩略图以便在移动应用中使用。

当我在 S3 上查看时，我看不到调整大小的图像或缩略图。然而，单元测试(非常彻底)没有给出任何错误。

当我得到图像尺寸时:

def image_dimensions(image_path):
    f = storage.open(image_path, 'r')
    im = Image.open(f, 'r')
    height = im.height
    width = im.width
    im.close()
    f.close()
    return (width, height)

访问对象的ImageField没有问题。当我使用 default_storage 打开实例的 profile_image 时没有出现错误。 PIL方法

new_im = im.resize((dim_x, int(new_y)), Image.ANTIALIAS) 确实返回类“PIL.Image.Image”的新实例。

事实上(请原谅我的冗长)

这不会引发错误:

>>> u = User(email="root@groupon.com", password="sdfbskjfskjfskjdf")
>>> u.save()
>>> p = Profile(user=u, profile_image=create_image_file())
>>> p.save()
>>> from django.core.files.storage import default_storage as storage
>>> orig = storage.open(p.profile_image.name, 'r')
>>> orig
<S3BotoStorageFile: uploads/profile_img/b0fd4f00-cce6-4dd3-b514-4c46a801ab19.jpg>
>>> im = Image.open(orig, mode='r')
>>> im
<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=5000x5000 at 0x10B8F1FD0>
>>> im.__class__
<class 'PIL.JpegImagePlugin.JpegImageFile'>
>>> dim_x = 500
>>> new_y = (float(dim_x) * float(im.height)) / float(im.width)
>>> new_im = im.resize((dim_x, int(new_y)), Image.ANTIALIAS)
>>> new_im.__class__
<class 'PIL.Image.Image'>
>>> img_path, img_name = path.split(p.profile_image.name)
>>> file_name, img_ext = img_name.rsplit('.', 1)
>>> append_str='_resized'
>>> new_img_path = path.join(img_path, file_name + append_str + '.' + img_ext)
>>> new_f = storage.open(new_img_path, 'w')
>>> new_f
<S3BotoStorageFile: uploads/profile_img/b0fd4f00-cce6-4dd3-b514-4c46a801ab19_resized.jpg>
>>> new_im.save(new_f)  #### This does NOT create an S3 file!!!!
>>> im.close()
>>> new_im.close()
>>> new_f.close()

>>> p.save() 将新的个人资料图片上传到 S3。我期待 >>> new_im.save(new_f) 将图像文件写入 S3。但事实并非如此。

非常感谢任何见解或帮助，感谢您花时间查看此问题。

编辑...

我的设置:

AWS_STORAGE_BUCKET_NAME = 'testthis'
AWS_S3_CUSTOM_DOMAIN = '%s.s3.amazonaws.com' % AWS_STORAGE_BUCKET_NAME
MEDIAFILES_LOCATION = 'media'
MEDIA_URL = "https://%s/%s/" % (AWS_S3_CUSTOM_DOMAIN, MEDIAFILES_LOCATION)
DEFAULT_FILE_STORAGE = 'custom_storages.MediaStorage'

custom_storage.py 在哪里

from django.conf import settings
from storages.backends.s3boto import S3BotoStorage

class MediaStorage(S3BotoStorage):
    location = settings.MEDIAFILES_LOCATION
    bucket_name = settings.AWS_STORAGE_BUCKET_NAME

最佳答案

我认为整个设置很疯狂。我强烈建议您考虑使用像 django-versatileimagefield 这样的库.实现看起来像这样:

from versatileimagefield.fields import VersatileImageField
from versatileimagefield.image_warmer import VersatileImageFieldWarmer

class Profile(UUIDBase):
    first_name = models.CharField(_("First Name"), max_length=20)
    last_name = models.CharField(_("Last Name"), max_length=20, null=True)
    image = VersatileImageFied(upload_to='uploads/profile_img/', blank=True, null=True)


@receiver(models.signals.post_save, sender=Profile)
def warm_profile_image(sender, instance, **kwargs):
    if instance.image:
        VersatileImageFieldWarmer(instance_or_queryset=instance, rendition_key_set='profile_image', image_attr='image', verbose=True).warm()

在您的设置中:

VERSATILEIMAGEFIELD_RENDITION_KEY_SETS = {
    'profile_image': [
        ('cropped', 'crop__400x400'),
        ('thumbnail', 'thumbnail__20x20')
    ]
}

Profile warmer 创建保存到 S3 的表示没问题。您可以访问作为 profile.image 的完整图像或作为 profile.image.cropped 和 profile.image.thumbnail 的不同版本。该库甚至允许您设置兴趣点，以便围绕图像中的特定中心点进行裁剪。

如果使用 DRF，序列化器:

from versatileimagefield.serializers import VersatileImageFieldSerializer   

class ProfileSerializer(serializers.ModelSerializer):
    image = VersatileImageFieldSerializer(
        sizes=[
            ('cropped', 'crop__400x400'),
            ('thumbnail', 'thumbnail__20x20')
        ],
        required=False
    )
    ... other fields and the Meta class

关于python - Django:更改图像大小并上传到 S3，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/38730753/