Unknown Constants AssetsController::S3 - ruby-on-rails

I'm attempting to download files from my S3 File server via a rails app that I've written. However, I'm having a difficult time trying to figure out how to accomplish this. I've been attempting to use this reference from Amazon's blog to get it working.
in the get method in my controller, I have the following:
asset = current_user.assets.find_by_id(params[:id])
File.open('filename', 'wb') do |file|
reap = s3.get_object({ bucket:'bucket-name', key: URI.encode(asset.uploaded_file.url)}, target: file)
end
however I'm getting the following error:
uninitialized constant AssetsController::s3
I'm using the gem aws-sdk. Any suggestions would be much appreciated.

uninitialized constant AssetsController::s3
You need to define s3, the below should work
asset = current_user.assets.find_by_id(params[:id])
File.open('filename', 'wb') do |file|
s3 = Aws::S3::Client.new
reap = s3.get_object({ bucket:'bucket-name', key: URI.encode(asset.uploaded_file.url)}, target: file)
end

Related

How to create movie screenshot by ffmpeg in an amazon S3 path

I tried to create using ffmpeg a video screenshot from a remote video url in heroku console. Below is how I generated a movie instance and can see also an empty ready to be written file at S3. But the last line movie.screenshot is not working and generates this error:
FFMPEG::Error: Failed encoding.Errors: no output file created
Here is the code
s3 = Aws::S3::Resource.new(region: 'us-west-1')
bucket = s3.bucket("ruby-sample-kb-#{SecureRandom.uuid}")
bucket.create
object = bucket.object('ex-vid-test-kb.jpg')
object.put(acl: "public-read-write")
path = object.public_url
movie = FFMPEG::Movie.new("https://www.googleapis.com/download/storage/v1/b/seppoav/o/3606137_51447286560__56BAF29C-05CB-4223-BAE6-655DF2236321.MOV?generation=1492780072394755&alt=media")
movie.screenshot(path, :seek_time => 2)
I also tried the following line just if it should be written via put. What am I missing here?
object.put(acl: "public-read", body: movie.screenshot(path, :seek_time => 2))
I ended up convincing myself that ffmpeg movie.screenshot won't work for remote url path. So I had to figure out a solution where I can create tempfile in heroku system although the tempfiles stay per dyno.
file = Tempfile.new [prefix, suffix], "#{Rails.root}/app/assets/images/video_screenshots"
movie.screenshot(file.path)
This worked Ok.

Rails : carrier wave and heroku without S3

I am using rails , carrierwave and heroku but right now I don't have a s3 account so I used this configuration
How to: Make Carrierwave work on Heroku
It worked very well for files uploaded by the user but It didn't work for files uploaded through seeds
I am using this syntax
book.cover = File.open(File.join(Rails.root, 'photo.jpg'))
book.save!
Try doing this instead:
file = File.open(File.join(Rails.root, 'photo.jpg'))
book.cover = file
file.close
book.save!

Tracking Upload Progress of File to S3 Using Ruby aws-sdk

Firstly, I am aware that there are quite a few questions that are similar to this one in SO. I have read most, if not all of them, over the past week. But I still can't make this work for me.
I am developing a Ruby on Rails app that allows users to upload mp3 files to Amazon S3. The upload itself works perfectly, but a progress bar would greatly improve user experience on the website.
I am using the aws-sdk gem which is the official one from Amazon. I have looked everywhere in its documentation for callbacks during the upload process, but I couldn't find anything.
The files are uploaded one at a time directly to S3 so it doesn't need to load it into memory. No multiple file upload necessary either.
I figured that I may need to use JQuery to make this work and I am fine with that.
I found this that looked very promising: https://github.com/blueimp/jQuery-File-Upload
And I even tried following the example here: https://github.com/ncri/s3_uploader_example
But I just could not make it work for me.
The documentation for aws-sdk also BRIEFLY describes streaming uploads with a block:
obj.write do |buffer, bytes|
# writing fewer than the requested number of bytes to the buffer
# will cause write to stop yielding to the block
end
But this is barely helpful. How does one "write to the buffer"? I tried a few intuitive options that would always result in timeouts. And how would I even update the browser based on the buffering?
Is there a better or simpler solution to this?
Thank you in advance.
I would appreciate any help on this subject.
The "buffer" object yielded when passing a block to #write is an instance of StringIO. You can write to the buffer using #write or #<<. Here is an example that uses the block form to upload a file.
file = File.open('/path/to/file', 'r')
obj = s3.buckets['my-bucket'].objects['object-key']
obj.write(:content_length => file.size) do |buffer, bytes|
buffer.write(file.read(bytes))
# you could do some interesting things here to track progress
end
file.close
After read the source code of the AWS gem, I've adapted (or mostly copy) the multipart upload method to yield the current progress based on how many chunks have been uploaded
s3 = AWS::S3.new.buckets['your_bucket']
file = File.open(filepath, 'r', encoding: 'BINARY')
file_to_upload = "#{s3_dir}/#{filename}"
upload_progress = 0
opts = {
content_type: mime_type,
cache_control: 'max-age=31536000',
estimated_content_length: file.size,
}
part_size = self.compute_part_size(opts)
parts_number = (file.size.to_f / part_size).ceil.to_i
obj = s3.objects[file_to_upload]
begin
obj.multipart_upload(opts) do |upload|
until file.eof? do
break if (abort_upload = upload.aborted?)
upload.add_part(file.read(part_size))
upload_progress += 1.0/parts_number
# Yields the Float progress and the String filepath from the
# current file that's being uploaded
yield(upload_progress, upload) if block_given?
end
end
end
The compute_part_size method is defined here and I've modified it to this:
def compute_part_size options
max_parts = 10000
min_size = 5242880 #5 MB
estimated_size = options[:estimated_content_length]
[(estimated_size.to_f / max_parts).ceil, min_size].max.to_i
end
This code was tested on Ruby 2.0.0p0

upload an RMagick-generated file from Heroku to Amazon S3

I am creating a Rails app which is hosted on Heroku and that allows the user to generate animated GIFs on the fly based on an original JPG that's hosted somewhere in the web (think of it as a crop-resize app). I tried Paperclip but, AFAIK, it does not handle dynamically-generated files. I am using the aws-sdk gem and this is a code snippet of my controller:
im = Magick::Image.read(#animation.url).first
fr1 = im.crop(#animation.x1,#animation.y1,#animation.width,#animation.height,true)
str1 = fr1.to_blob
fr2 = im.crop(#animation.x2,#animation.y2,#animation.width,#animation.height,true)
str2 = fr2.to_blob
list = Magick::ImageList.new
list.from_blob(str1)
list.from_blob(str2)
list.delay = #animation.delay
list.iterations = 0
That is for the basic creation of a two-frame animation. RMagick can generate a GIF in my development computer with these lines:
list.write("#{Rails.public_path}/images/" + #animation.filename)
I tried uploading the list structure to S3:
# upload to Amazon S3
s3 = AWS::S3.new
bucket = s3.buckets['mybucket']
obj = bucket.objects[#animation.filename]
obj.write(:single_request => true, :content_type => 'image/gif', :data => list)
But I don't have a size method in RMagick::ImageList that I can use to specify that. I tried "precompiling" the GIF into another RMagick::Image:
anim = Magick::Image.new(#animation.width, #animation.height)
anim.format = "GIF"
list.write(anim)
But Rails crashes with a segmentation fault:
/path/to/my_controller.rb:103: [BUG] Segmentation fault ruby 1.8.7 (2010-01-10 patchlevel 249) [universal-darwin11.0]
Abort trap: 6
Line 103 corresponds to list.write(anim).
So right now I have no idea how to do this and would appreciate any help I receive.
As per #mga's request in his answer to his original question...
a non-filesystem based approach is pretty simple
rm_image = Magick::Image.from_blob(params[:image][:datafile].read)[0]
# [0] because from_blob returns an array
# the blob, presumably, can have multiple images data in it
a_thumbnail = rm_image.resize_to_fit(150, 150)
# just as an example of doing *something* with it before writing
s3_bucket.objects['my_thumbnail.jpg'].write(a_thumbnail.to_blob, {:acl=>:public_read})
Voila! reading an uploaded file, manipulating it with RMagick, and writing it to s3 without ever touching the filesystem.
Since this project is hosted in Heroku I cannot use the filesystem so that is why I was trying to do everything via code. I found that Heroku does have a temporary-writable folder: http://devcenter.heroku.com/articles/read-only-filesystem
This works just fine in my case since I don't need the file after this request.
The resulting code:
im = Magick::Image.read(#animation.url).first
fr1 = im.crop(#animation.x1,#animation.y1,#animation.width,#animation.height,true)
fr2 = im.crop(#animation.x2,#animation.y2,#animation.width,#animation.height,true)
list = Magick::ImageList.new
list << fr1
list << fr2
list.delay = #animation.delay
list.iterations = 0
# gotta packet the file
list.write("#{Rails.root}/tmp/#{#animation.filename}.gif")
# upload to Amazon S3
s3 = AWS::S3.new
bucket = s3.buckets['mybucket']
obj = bucket.objects[#animation.filename]
obj.write(:file => "#{Rails.root}/tmp/#{#animation.filename}.gif")
It would be interesting to know if a non-filesystem-writing solution is possible.
I am updating this answer for AWS SDK Version 2 which should be:
rm_image = Magick::Image.from_blob(params[:image][:datafile].read)[0]
# [0] because from_blob returns an array
# the blob, presumably, can have multiple images data in it
a_thumbnail = rm_image.resize_to_fit(150, 150)
# just as an example of doing *something* with it before writing
s3 = Aws::S3::Resource.new
bucket = s3.bucket('mybucket')
obj = bucket.object('filename')
obj.put(body: background.to_blob)
I think there's a few things going on here. First, the documentation for RMagick is sub-par, and its easy to get side-tracked. The code you're using to generate the gif can be a little simpler. I cooked up a very contrived example here:
#!/usr/bin/env ruby
require 'rubygems'
require 'RMagick'
# read in source file
im = Magick::Image.read('foo.jpg').first
# make two slightly different frames
fr1 = im.crop(0, 100, 300, 300, true)
fr2 = im.crop(0, 200, 300, 300, true)
# create an ImageList
list = Magick::ImageList.new
# add our images to it
list << fr1
list << fr2
# set some basic values
list.delay = 100
list.iterations = 0
# write out an animated gif to the filesystem
list.write("foo.gif")
This code works -- it reads in a jpg I have locally, and writes out a 2-frame animation. Obviously I've hardcoded some values here, but there's no reason this shouldn't work for you, although I am running ruby 1.9.2 and probably a different version of RMagick, but this is basic code.
The second issue is totally unrelated -- is it possible to upload an image generated in IM to S3 without actually hitting the filesystem? Basically, will this ever work:
obj.write(:single_request => true, :content_type => 'image/gif', :data => list)
I'm not sure if it is or not. I experimented with calling list.to_blob, but it only outputs the first frame, and it's as a JPG, although I didn't spend much time on it. You might be able to fool list.write into outputting somewhere, but rather than going down that road, I would personally just output the file unless that is impossible for some reason.

ruby reading files from S3 with open-URI

I'm having some problems reading a file from S3. I want to be able to load the ID3 tags remotely, but using open-URI doesn't work, it gives me the following error:
ruby-1.8.7-p302 > c=TagLib2::File.new(open(URI.parse("http://recordtemple.com.s3.amazonaws.com/music/745/original/The%20Stranger.mp3?1292096514")))
TypeError: can't convert Tempfile into String
from (irb):8:in `initialize'
from (irb):8:in `new'
from (irb):8
However, if i download the same file and put it on my desktop (ie no need for open-URI), it works just fine.
c=TagLib2::File.new("/Users/momofwombie/Desktop/blah.mp3")
is there something else I should be doing to read a remote file?
UPDATE: I just found this link, which may explain a little bit, but surely there must be some way to do this...
Read header data from files on remote server
Might want to check out AWS::S3, a Ruby Library for Amazon's Simple Storage Service
Do an AWS::S3:S3Object.find for the file and then an use about to retrieve the metadata
This solution assumes you have the AWS credentials and permission to access the S3 bucket that contains the files in question.
TagLib2::File.new doesn't take a file handle, which is what you are passing to it when you use open without a read.
Add on read and you'll get the contents of the URL, but TagLib2::File doesn't know what to do with that either, so you are forced to read the contents of the URL, and save it.
I also noticed you are unnecessarily complicating your use of OpenURI. You don't have to parse the URL using URI before passing it to open. Just pass the URL string.
require 'open-uri'
fname = File.basename($0) << '.' << $$.to_s
File.open(fname, 'wb') do |fo|
fo.print open("http://recordtemple.com.s3.amazonaws.com/music/745/original/The%20Stranger.mp3?1292096514").read
end
c = TagLib2::File.new(fname)
# do more processing...
File.delete(fname)
I don't have TagLib2 installed but I ran the rest of the code and the mp3 file downloaded to my disk and is playable. The File.delete would clean up afterwards, which should put you in the state you want to be in.
This solution isn't going to work much longer. Paperclip > 3.0.0 has removed to_file. I'm using S3 & Heroku. What I ended up doing was copying the file to a temporary location and parsing it from there. Here is my code:
dest = Tempfile.new(upload.spreadsheet_file_name)
dest.binmode
upload.spreadsheet.copy_to_local_file(:default_style, dest.path)
file_loc = dest.path
...
CSV.foreach(file_loc, :headers => true, :skip_blanks => true) do |row|}
This seems to work instead of open-URI:
Mp3Info.open(mp3.to_file.path) do |mp3info|
puts mp3info.tag.artist
end
Paperclip has a to_file method that downloads the file from S3.

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