uniquify bucket names as a work-around to Issue #4

#4

aws-iam/destroy.py

@@ -27,24 +27,12 @@ def destroy(target):
         pass
 
     response = s3 = boto.connect_s3()
-    bucket = s3.get_bucket(target)
-    keys = bucket.list()
-    bucket.delete_keys([k.name for k in keys])
-
-    ### The delete_bucket is intentionally commented out because the
-    ### delete behavior is surprising relative to other delete
-    ### operations in the API. Creating a bucket with the same name as
-    ### one that has been deleted may not even be possible in some
-    ### cases. Typically it takes a few hours for the bucket names to
-    ### be cleared so in practice it is often possible to create a new
-    ### bucket with the same name. Read more at:
-    ###    http://psykidellic.github.io/posts/amazon-s3---careful-with-bucket-names/
-    ###    https://forums.aws.amazon.com/thread.jspa?threadID=37532
-    ### Interestingly, create_bucket does not behave as expected,
-    ### either; if a bucket already exists, the call to create_bucket
-    ### does not raise an exception about a duplicate
-    ### already existing.
-    # s3.delete_bucket(target)
+    ## only delete bucket names created with uniquify suffix
+    ## Further details: https://github.com/ucberkeley/brc-experiments/issues/4
+    for b in s3.get_all_buckets():
+        if b.name.contains('-uq'):
+            b.delete_keys([k.name for k in b.list()])
+            s3.delete_bucket(b.name)
 
     for category in ['instructors','students']:
         group = target + '-' + category

aws-iam/provision.py

@@ -8,6 +8,7 @@
 import random
 import logging
 import re
+import uuid
 
 from iampolicies import apply_policy
 
@@ -93,7 +94,11 @@ def save_credentials(target, category, creds):
 def provision(target):
     create_signin_url(target)
     s3 = boto.connect_s3()
-    bucket = s3.create_bucket(target)
+    ## create bucket names with uniquify suffix
+    ## Further details: https://github.com/ucberkeley/brc-experiments/issues/4
+    uniquify = 'uq' + str(uuid.uuid4())[:5]
+    bucket_name = target + '-' + uniquify
+    bucket = s3.create_bucket(bucket_name)
     for category in ['instructors','students']:
         creds = create_iam_users(target, category)
         save_credentials(target, category, creds)