From 78b6115fc63cb1c872be46feb88f9fd67356001e Mon Sep 17 00:00:00 2001
From: Paco Hope <github@filter.paco.to>
Date: Thu, 29 Aug 2019 16:41:09 -0400
Subject: [PATCH] Added first version.

---
 ec2-ami-map-yaml.py | 63 +++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 63 insertions(+)
 create mode 100644 ec2-ami-map-yaml.py

diff --git a/ec2-ami-map-yaml.py b/ec2-ami-map-yaml.py
new file mode 100644
index 0000000..c9f8957
--- /dev/null
+++ b/ec2-ami-map-yaml.py
@@ -0,0 +1,63 @@
+#
+# Licensed under GNU General Public License v3.0 (see LICENSE file)
+#
+# Given the ID of an Amazon public AMI in one region, figure out what the
+# equivalent AMI IDs are for that same AMI in all other regions known.
+# If that AMI isn't defined in a region, it prints the region's name, but
+# comments it out.
+#
+
+from __future__ import print_function
+import boto3
+
+# Get a starting point by finding a value in the table on this page or similar page.
+# https://aws.amazon.com/amazon-linux-ami/
+#
+# Alternatively, you can run something like:
+# aws ec2 describe-images --owners amazon --filter "Name=description,Values=Amazon Linux AMI 2017*" |
+#   jq -c '.Images[] | {ImageId, Name, Description}'
+#
+# It will list images in the current region based on the filter expression. From there, you can
+# figure out which image suits your needs. Stick the region and AMI identifier below.
+
+# This is "ubuntu/images/hvm-ssd/ubuntu-bionic-18.04-amd64-server-20190722.1"
+BASEAMI="ami-07d0cf3af28718ef8"
+BASEREGION="us-east-1"
+MAPNAME="Ubuntu18AMIForRegion"
+KEYNAME="x86"
+
+# AMI filter
+image_filter = [{'Name':'image-id', 'Values':[BASEAMI]}]
+
+# List all regions
+client = boto3.client('ec2', region_name=BASEREGION)
+regions = [region['RegionName'] for region in client.describe_regions()['Regions']]
+
+ec2 = boto3.resource('ec2', region_name=BASEREGION)
+
+# Figure out what the AWS Name is for this image.
+image_names = list(ec2.images.filter(Filters=image_filter).all())
+if( len(image_names) != 1 ):
+    print( "ERROR: ", len(image_names), "matched", BASEAMI)
+    exit( 1 )
+
+print( "# image name is:\"" + image_names[0].name + "\"" )
+target_image = image_names[0].name
+# name-based filter
+name_filter = [{'Name':'name', 'Values': [target_image] }]
+
+# Print the first lines of YAML
+print( "  {}:".format(MAPNAME) )
+print( "    {}:".format(BASEREGION)  )
+print( "      {}: \"{}\"".format(KEYNAME, BASEAMI) )
+
+# For every region, look up the AMI ID for that region by looking for
+# the image with the same name.
+for r in regions:
+    ec2 = boto3.resource('ec2', region_name=r)
+    image_names = list(ec2.images.filter(Filters=name_filter).all())
+    if( len(image_names) != 1 ):
+        print( "#  {}: undefined".format(r) )
+    elif( r != BASEREGION ):
+        print( "    {}:".format(r) )
+        print( "      {}: \"{}\"".format(KEYNAME, image_names[0].id ) )