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See LP: #1243287 for more information, but the easiest thing to do
here is just not run smartos on arm.
LP: #1243287
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This test case isn't really valid any more as we've changed
the way this works.
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This reduces how much cloud-init is explicitly involved in what "vendor-data"
could accomplish. The goal of vendor-data was to provide the vendor with a
channel to run arbitrary code that accomodate for their specific platform.
Much of those accomodations are currently being done in cloud-init.
However, this now moves some of those things to default "vendor-data", instead
of cloud-init proper.
Basically, now we have an 'sdc:vendor-data' key in the metadata.
If that does not exist, then cloud-init will use the default.
The default, provides a boothook. That boothook writes a file into
/var/lib/cloud/per-boot/ . That file will be both written on every boot
and then executed at rc.local time frame (by 'scripts-per-boot').
It will then execute /var/lib/cloud/instance/data/user-script
and /var/lib/cloud/instance/data/operator-script if they exist.
So, the things that cloud-init is now doing outside of the default vendor-data
that I would rather be done in vendor-data is:
* managing the population of instance/data/user-script and
instance/data/operator-script. These could very easily be done
from the boothook, but doing them in cloud-init removes the necessity
for having a 'mdata-get' command in the image (or some other way for
the boothook script to query the datasource).
* managing the LEGACY things.
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default #cloud-config that writes per-boot script that fetches subsequent
sdc:operator-scripts and executes it.
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Openstack has a unique derivative datasource
that is gaining usage. Previously the config
drive datasource provided part of this functionality
as well as the ec2 datasource, but since new
functionality is being added to openstack is
seems benefical to combine the used parts into
one datasource just made for handling openstack
deployments.
This patch factors out the common logic shared
between the config drive and the openstack
metadata datasource and places that in a shared
helper file and then creates a new openstack
datasource that readers from the openstack metadata
service and refactors the config drive datasource
to use this common logic.
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This makes it easier to call read_file_or_url and handle file or url
errors. Now read_file_or_url will raise a UrlError in either case
on errors.
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This fixes up many long lines to be < 80 chars and some other
pylint issues. pylint 1.1 (in trusty) is now complaining about
the lazy logging, so I'll clean that up when I touch things.
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1. fixed conflation of user-data and cloud-init user-data. Cloud-init
user-data is now namespaced as 'cloud-init:user-data'.
2. user-scripts are now fetched from the meta-data service each boot and
executed as in the scripts directory
3. datacenter name is now namespaced as sdc:datacenter
4. user-scripts should be shebanged if there is no file magic
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When a 404 http code comes back from the fetching of ec2
data, instead of retrying immediatly stop the fetching process
and in the userdata fetching function handle this case as a
special case of no userdata being fetched (an empty string
in this case).
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This change removes the filtering of partitions from potential ConfigDrive
sources, if the LABEL of the partition is set to "config-2".
This is useful for a bare metal device. It may not have a separate device for
ConfigDrive, but instead have a ConfigDrive available on a partition.
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SECONDS is a special variable in bash, it gets set to the time the
shell has been alive. This would cause us to fail randomly (if the
process happened to take more than 1 second, then SECONDS would
be defined).
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Modified cc_mounts to identify whether ephermalX is partitioned.
Changed datasources for Azure and SmartOS to use 'ephemeralX.Y' format.
Added disk remove functionally
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Also
* cloudinit/sources/DataSourceAzure.py: invalid xml in a file called
'ovfenv.xml' should raise BrokenAzureDatasource rather than
NonAzureDataSource
* cloudinit/sources/DataSourceSmartOS.py:
cloudinit/sources/DataSourceAzure.py
use 'ephemeral0' as the device name in builtin fs_setup
* tests/unittests/test_datasource/test_azure.py:
* always patch 'list_possible_azure_ds_devs' as it calls find_devs_with
which calls blkid, and dramatically was slowing down tests on my system.
* test_user_cfg_set_agent_command_plain:
fix this test to not depend on specific format of yaml.dumps().
* test_userdata_arrives: add a test that user-data makes it through
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Changed cc_disk_setup to handle the file systems as a label, no longer
passing "log" around.
Tidied up the documentation to reflect the changes and made grammer,
spelling and improved the content a little.
Added disk_setup to the default modules list.
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* use util.subp from inside parse_shell_config,
and adjust exception handling accordingly.
* add 'switch_user_cmd' as a callback function to pass
to parse_shell_config, which allows us to mock this to avoid
'sudo' when running test cases.
Basically the test cases just return '[]' here.
* fix some pylint
* handle empty 'content' in parse_shell_config and remove
the protection that was present.
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Eat shell parser error output. Few tests for tests for get_data.
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context variable names.
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function. Fix fetching user specified dsmode (from context).
Rename context_sh->context. Reuse unittests.helpers.populate_dir.
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The most likely end user operation (or at least a valid one) for base64
encoding would be to encode the user-data, but leave all other values
as plaintext.
In order to facilitate that, the user can simply add:
b64-user-data=true
to indicate that user-data is base64 encoded.
Other changes here are to change the cloud-config and metadata keynames
that are used.
base64_all = boolean(True)
base64_keys = [list, of, keys]
Fixed up tests to accomodate.
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'password' was the wrong key. It should have been setting the default
user's "plain_text_password".
Instead of doing that, though, we're encrypting the value and putting it in
'passwd', which will then be passed on to useradd. The key value in doing
this is that the plain text password will not be stored in obj.pkl.
(admittedly it is still in plain text in the ovf-env.xml file).
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