An automated image upload workflow for Amazon S3

amazon-s3-auto-upload

# For more info, see http://www.elezea.com/2014/07/automatic-upload-amazon-s3/

import boto
from boto.s3.connection import S3Connection
import os
import sys
import urllib
from datetime import date, datetime
import subprocess

# This is how Hazel passes in the file path
hazelFilePath = sys.argv[1]

# Obviously, you'll need your own keys
aws_key = 'YOUR_KEY'
aws_secret = 'YOUR_SECRET'

# This is where I store my log file for these links. It's a Dropbox file in my NVAlt notes folder
logFilePath = "/Users/~YOUR_COMPUTER_NAME/Dropbox/Notational/Link_Log.txt"
nowTime = str(datetime.now())

# Method to add to clipboard
def setClipboardData(data):
    p = subprocess.Popen(['pbcopy'], stdin=subprocess.PIPE)
    p.stdin.write(data)
    p.stdin.close()
    retcode = p.wait()

# This is the method that does all of the uploading and writing to the log file.
# The method is generic enough to work with any S3 bucket that is passed.
def uploadToS3(localFilePath, S3Bucket):
  fileName = os.path.basename(localFilePath)

  # Determine the current month and year to create the upload path
    today = date.today()
    datePath = today.strftime("/%Y/%m/")

   # Create the URL for the image (Add your own path here)
    imageLink = 'http://cdn.elezea.com/images/'+urllib.quote(fileName)

    # Connect to S3
    s3 = S3Connection(aws_key, aws_secret)
   bucket = s3.get_bucket(S3Bucket)
   key = bucket.new_key('images/'+fileName)
   key.set_contents_from_filename(localFilePath)
   key.set_acl('public-read')
   logfile = open(logFilePath, "a")

   try:
       # %% encode the file name and append the URL to the log file
       logfile.write(nowTime+'  '+imageLink+'\n')
      setClipboardData(imageLink)
   finally:
      logfile.close()

# Add your bucket name here.
uploadToS3(hazelFilePath, 'YOUR_BUCKET_NAME')