Current File : //lib/python3/dist-packages/landscape/lib/cloud.py
from landscape.lib.fetch import fetch_async
EC2_HOST = "169.254.169.254"
EC2_API = f"http://{EC2_HOST}/latest"
MAX_LENGTH = 64
def fetch_ec2_meta_data(fetch=None):
"""Fetch EC2 information about the cloud instance.
The fetch parameter provided above is for non-mocked testing purposes.
"""
cloud_data = []
# We're not using a DeferredList here because we want to keep the
# number of connections to the backend minimal. See lp:567515.
deferred = _fetch_ec2_item("instance-id", cloud_data, fetch)
deferred.addCallback(
lambda ignore: _fetch_ec2_item("instance-type", cloud_data, fetch),
)
deferred.addCallback(
lambda ignore: _fetch_ec2_item("ami-id", cloud_data, fetch),
)
def return_result(ignore):
"""Record the instance data returned by the EC2 API."""
def _process_result(value):
if value is not None:
if isinstance(value, bytes):
value = value.decode("utf-8")
return value[:MAX_LENGTH]
(instance_id, instance_type, ami_id) = cloud_data
return {
"instance-id": _process_result(instance_id),
"ami-id": _process_result(ami_id),
"instance-type": _process_result(instance_type),
}
deferred.addCallback(return_result)
return deferred
def _fetch_ec2_item(path, accumulate, fetch=None):
"""
Get data at C{path} on the EC2 API endpoint, and add the result to the
C{accumulate} list. The C{fetch} parameter is provided for testing only.
"""
url = EC2_API + "/meta-data/" + path
if fetch is None:
fetch = fetch_async
return fetch(url, follow=False).addCallback(accumulate.append)
Mini Shell