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Allow ec2 inventory to use a boto profile
This allows the EC2 inventory plugin to be used with the same configuration against different EC2 accounts Profile can be passed using --profile variable or using EC2_PROFILE environment variable e.g. ``` EC2_PROFILE=prod ansible-playbook -i ec2.py playbook.yml ``` Added documentation on profiles to EC2 dynamic inventory doc Only tries to use profiles if --profile argument is given or EC2_PROFILE is set to maintain compatibility will boto < 2.24. Works around a minor bug in boto where if you try and use a security token with a profile it fails (boto/boto#2100)
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2 changed files with 61 additions and 4 deletions
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@ -22,6 +22,12 @@ you need to define:
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export EC2_URL=http://hostname_of_your_cc:port/services/Eucalyptus
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If you're using boto profiles (requires boto>=2.24.0) you can choose a profile
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using the --profile command line argument (e.g. ec2.py --profile prod) or using
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the EC2_PROFILE variable:
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EC2_PROFILE=prod ansible-playbook -i ec2.py myplaybook.yml
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For more details, see: http://docs.pythonboto.org/en/latest/boto_config_tut.html
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When run against a specific host, this script returns the following variables:
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@ -148,9 +154,20 @@ class Ec2Inventory(object):
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# Index of hostname (address) to instance ID
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self.index = {}
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# Read settings and parse CLI arguments
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self.read_settings()
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# Parse CLI arguments and read settings
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self.parse_cli_args()
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self.read_settings()
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# boto profile to use (if any)
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# Make sure that profile_name is not passed at all if not set
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# as pre 2.24 boto will fall over otherwise
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if self.args.profile:
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if not hasattr(boto.ec2.EC2Connection, 'profile_name'):
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sys.stderr.write("boto version must be >= 2.24 to use profile\n")
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sys.exit(1)
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self.profile = dict(profile_name=self.args.profile)
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else:
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self.profile = dict()
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# Cache
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if self.args.refresh_cache:
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@ -292,6 +309,8 @@ class Ec2Inventory(object):
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# Cache related
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cache_dir = os.path.expanduser(config.get('ec2', 'cache_path'))
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if self.args.profile:
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cache_dir = os.path.join(cache_dir, 'profile_' + self.args.profile)
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if not os.path.exists(cache_dir):
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os.makedirs(cache_dir)
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@ -373,6 +392,8 @@ class Ec2Inventory(object):
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help='Get all the variables about a specific instance')
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parser.add_argument('--refresh-cache', action='store_true', default=False,
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help='Force refresh of cache by making API requests to EC2 (default: False - use cache files)')
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parser.add_argument('--profile', action='store', default=os.environ.get('EC2_PROFILE'),
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help='Use boto profile for connections to EC2')
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self.args = parser.parse_args()
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@ -405,6 +426,21 @@ class Ec2Inventory(object):
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self.fail_with_error("region name: %s likely not supported, or AWS is down. connection to region failed." % region)
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return conn
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def boto_fix_security_token_in_profile(self, conn):
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''' monkey patch for boto issue boto/boto#2100 '''
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profile = 'profile ' + self.profile.get('profile_name')
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if boto.config.has_option(profile, 'aws_security_token'):
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conn.provider.set_security_token(boto.config.get(profile, 'aws_security_token'))
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return conn
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def connect_to_aws(self, module, region):
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conn = module.connect_to_region(region, **self.profile)
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if 'profile_name' in self.profile:
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conn = self.boto_fix_security_token_in_profile(conn)
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return conn
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def get_instances_by_region(self, region):
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''' Makes an AWS EC2 API call to the list of instances in a particular
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region '''
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@ -416,8 +452,14 @@ class Ec2Inventory(object):
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for filter_key, filter_values in self.ec2_instance_filters.items():
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reservations.extend(conn.get_all_instances(filters = { filter_key : filter_values }))
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else:
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reservations = conn.get_all_instances()
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conn = self.connect_to_aws(ec2, region)
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# connect_to_region will fail "silently" by returning None if the region name is wrong or not supported
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if conn is None:
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print("region name: %s likely not supported, or AWS is down. connection to region failed." % region)
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sys.exit(1)
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reservations = conn.get_all_instances()
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for reservation in reservations:
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for instance in reservation.instances:
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self.add_instance(instance, region)
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@ -430,12 +472,13 @@ class Ec2Inventory(object):
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error = "Error connecting to %s backend.\n%s" % (backend, e.message)
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self.fail_with_error(error, 'getting EC2 instances')
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def get_rds_instances_by_region(self, region):
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''' Makes an AWS API call to the list of RDS instances in a particular
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region '''
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try:
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conn = rds.connect_to_region(region)
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conn = self.connect_to_aws(rds, region)
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if conn:
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instances = conn.get_all_dbinstances()
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for instance in instances:
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@ -101,6 +101,20 @@ You can test the script by itself to make sure your config is correct::
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After a few moments, you should see your entire EC2 inventory across all regions in JSON.
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If you use boto profiles to manage multiple AWS accounts, you can pass ``--profile PROFILE`` name to the ``ec2.py`` script. An example profile might be::
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[profile dev]
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aws_access_key_id = <dev access key>
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aws_secret_access_key = <dev secret key>
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[profile prod]
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aws_access_key_id = <prod access key>
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aws_secret_access_key = <prod secret key>
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You can then run ``ec2.py --profile prod`` to get the inventory for the prod account, or run playbooks with: ``ansible-playbook -i 'ec2.py --profile prod' myplaybook.yml``.
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Alternatively, use the ``EC2_PROFILE`` variable - e.g. ``EC2_PROFILE=prod ansible-playbook -i ec2.py myplaybook.yml``
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Since each region requires its own API call, if you are only using a small set of regions, feel free to edit ``ec2.ini`` and list only the regions you are interested in. There are other config options in ``ec2.ini`` including cache control, and destination variables.
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At their heart, inventory files are simply a mapping from some name to a destination address. The default ``ec2.ini`` settings are configured for running Ansible from outside EC2 (from your laptop for example) -- and this is not the most efficient way to manage EC2.
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