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if the Datasource does not have an entry in config, then
set it to be a empty dictionary rather than None.
Also remove places that did this elsewhere.
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Changing this interface to allow for easy change later.
The thing that this will enable is:
a.) maas datasource to look at the system config and see if it
is configured with the same consumer_key
b.) datasource config could allow setting a variable that it
would look at.
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This adds a check in cloud-init to see if the existing (cached)
datasource is still valid. It relies on support from the Datasource
to implement 'check_instance_id'. That method should quickly determine
(if possible) if the instance id found in the datasource is still valid.
This means that we can still notice new instance ids without
depending on a network datasource on every boot.
I've also implemented check_instance_id for the superclass and for
3 classes:
DataSourceAzure (check dmi data)
DataSourceOpenstack (check dmi data)
DataSourceNocloud (check the seeded data or kernel command line)
LP: #1553815
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For now, this vendor data handling is just added to openstack.
However, in an effort to allow sanely handling of multi-part vendor-data
that is namespaced, we add openstack.convert_vendordata_json .
That basically takes whatever was loaded from vendordata and takes
the 'cloud-init' key if it is a dict. This way the author can
namespace cloud-init, basically telling it to ignore everything else.
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We were checking for presense of meta_data.json for each supported
metadata version. Instead just check that /openstack is there.
This reduces the time to check on EC2 or any other cloud.
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instead of taking a version that they should look for,
the readers now just select the highest supported version.
definitely a use case later for having version= but nothing
is using it now.
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There might be multiple things to put inside a vendor-data.
So, if it is a dict and that dict has 'cloud-init', assume that the whole
thing was not meant for cloud-init, and set vendordata_raw to the specific
item.
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Waiting around for a metadata service in a given datasource means that if its
not there all the subsequent datasources have to wait, and boot is slowed down.
As it is right now, EC2 is the only one that has the right to wait. In the
past, we had to wait around for the EC2 metadata service. I really do not want
to extend that courtesy to other cloud platforms. A network based metadata
service should be up as soon as networking is up.
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