Using Amazon S3 with Heroku, Python, and Flask

It seems to me that in the example code that stores the uploaded file to a temporary file, you would just replace file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename)) with code that uploads the file to S3 instead.

For example, from the linked page:

def upload_file():    if request.method == 'POST':        file = request.files['file']        if file and allowed_file(file.filename):            filename = secure_filename(file.filename)            s3 = boto.connect_s3()            bucket = s3.create_bucket('my_bucket')            key = bucket.new_key(filename)            key.set_contents_from_file(file, headers=None, replace=True, cb=None, num_cb=10, policy=None, md5=None)             return 'successful upload'    return ..

Or if you want to upload to S3 asynchrnously, you could use whatever queuing mechanism is provided by Heroku.

A bit of an old question, but I think ever since Amazon introduced CORS support to S3, the best approach is to upload directly to S3 from the user's browser - without the bits ever touching your server.

This is a very simple flask project that shows exactly how to do that.

Using boto library it will look something like this:

import botofrom boto.s3.connection import S3Connectionfrom boto.s3.key import Keydef upload_file():    if request.method == 'POST':        file = request.files['file']        if file and allowed_file(file.filename):            filename = secure_filename(file.filename)            conn = S3Connection('credentials', '')            bucket = conn.create_bucket('bucketname')            k = Key(bucket)            k.key = 'foobar'            k.set_contents_from_string(file.readlines())            return "Success!"