Rails/Ruby将图像保存为base64并在视图中访问它

我想知道我们可以将图像转换为base64并将其保存在数据库中并在视图中访问它.

我搜索了谷歌和stackoverflow,所有这些都从中间开始编码或显示图像.

我需要知道如何转换图片网址/路径(假设我将图片存储在我的应用内,其网址存储在列中)

如何在保存之前将其编码为base64(我们应该首先转换为base64并保存在db？中).如何在视图中显示它

您可以将此任务拆分为三个或四个步骤:

得到图像

编码为base64

将其存储在数据库中(optionaly)

在视图中显示它

获得图像

来自Assets管道

如果您正在使用Rails资产管道,您可以使用Rails.application.assets哈希来获取图像:Rails.application.assets['image_name.png'].to_s将为您提供image_name.png图像的内容.

来自文件 - 本地或网址

这是关于StackOverflow的问题.

编码

Base64 Ruby模块文档讲述了如何在Ruby中使用Base64编码:

Base64.strict_encode64(your_content_here)

注意:在这种情况下strict_encode64,首选是encode64因为它不添加任何换行符.(感谢谢尔盖·梅尔指出这一点)

来自docs:

encode64 - ... Line feeds are added to every 60 encoded characters.

strict_encode64 - ... No line feeds are added.

将其存储在数据库中(optionaly)

我建议你为它创建一个单独的ActiveRecord模型,使用类型字段text来保持图像的base64表示.

在视图中显示它

您可以为tag的src属性提供data-url img,因此,浏览器将解码base64中的图像并像常规图像一样显示:

不要忘记将图像格式更改为您在data:image/png部分中使用的任何格式.

更新(2018-08-22):我试图使用urlsafe_encode64,如Xornand所建议的那样,对我而言,它会产生浏览器无法识别为图像的输出.

尝试使用Firefox 61.0.2和Chromium 68.0.3440.106.

为了参考和实现实验,这里是结果本身.

图像用作"原始"(将其调整为更小以减小base64输出的大小):

encode64:

/9j/4AAQSkZJRgABAQEAYABhAAD/4QBARXhpZgAASUkqAAgAAAABAGmHBAAB
AAAAGgAAAAAAAAACAAKgCQABAAAAZAAAAAOgCQABAAAAfwAAAAAAAAD/2wBD
AAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwc
KDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/
/gA0T3B0aW1pemVkIGJ5IEpQRUdtaW5pIDMuMTQuMTQuNzI2NzA4NjAgMHhm
ZjIzZjM3OQD/wAARCAB/AGQDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAA
AAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIh
MUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKT
lJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi
4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQF
BgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMi
MoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZH
SElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJma
oqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq
8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDyNj85+tBbFEvE7j0Y/wA6YxrA2HIx
Jqwp4rS0LwvfayyspWKFj99z1+grvrf4TCSEMLqVzjqu3+VTKSRUYtnmQrS0
WTy9Tib0DfyNdNq/wz1WwUvbAyp6MMH/AArl7eKaw1JUuImjdcgq4x2NS2mt
CopqSuZkLf6Vdn/ZevR/ADgaHAv/AE9E/qteaQn9/de6NXoHw/c/YLVSetye
PxFKrsXT/wAzoPFigaovH/LIfzNYHet/xW2dVHtGP61gfxVqcKLMNXojjFUI
zVyI0AaSN8tFRKw2iigDxi9+S8mX0c1b0mxa6nDNGXUnCr/eNPNgbu5aduIz
g4HU1oaZdvp16JBErIo2hCe1M3SO20uKGwgVZdW0+G9Yjy4XfcR7EjgfSuv8
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3uLIofMB+9HnufUe9R+BDstrTP8Az8/4V7KGla3aEhJIWUgqwzkHqD7Vxh0z
StHuGitrRYvn3hdxIBP16UOfMrMpQszO8TtnVT7ItYWfmrvP7PttQgDSJGc8
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1ZXSJY0JbBXqQCa61bMocMB+dP8AsIOFwSPXrRewHPQSIqtnAA/StbSbyJWd
JABjpmsnVITp95sK5VxxVCZ7hIfNAIReorQSN241rZp14DgE5xjqPpXG2MFz
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3BgRj2Nd3oFpaRyrKLndkgDL8EHsa4GUzzXn7wSIrDOWFamlXX2Z1UuXj6Z6
YOf8DWctTRHpVsklndgRO5CneoI6gfeXjrxn8q534mzXE8lk9kkxePdv8sEg
A4xnH0NaFnrCSTRqXDsjI69iCDj/AB/OrmmXMRu78yuMRuEXP4nH6ipS1CTS
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H5u1pZgoTkD+lSGzDMyxyDAP3QOTVAk4AUkY5GBUwvXRspuLduO/+FQ0aJmi
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WTJ4Y8/lTiRM5vzH7LkfQ0VsGylPKqCP9oYNFWZ2LqaRMedwQcA5GBnPT+dT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opvn2CRxLDL5ShB8ihgB+GKKBH//2Q==

strict_encode64:

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

urlsafe_encode64:

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