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Azure datasource now queries IMDS metadata service for network
configuration at link local address
http://169.254.169.254/metadata/instance?api-version=2017-12-01. The
azure metadata service presents a list of macs and allocated ip addresses
associated with this instance. Azure will now also regenerate network
configuration on every boot because it subscribes to EventType.BOOT
maintenance events as well as the 'first boot'
EventType.BOOT_NEW_INSTANCE.
For testing add azure-imds --kind to cloud-init devel net_convert tool
for debugging IMDS metadata.
Also refactor _get_data into 3 discrete methods:
- is_platform_viable: check quickly whether the datasource is
potentially compatible with the platform on which is is running
- crawl_metadata: walk all potential metadata candidates, returning a
structured dict of all metadata and userdata. Raise InvalidMetaData on
error.
- _get_data: call crawl_metadata and process results or error. Cache
instance data on class attributes: metadata, userdata_raw etc.
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Move the tools/net-convert.py to be exposed as part of 'cloud-init devel'
subcommands.
It can now be called like:
$ cloud-init devel net-convert
Or, if you just have checked out source (and no cli executable):
$ python3 -m cloudinit.cmd.devel.net_convert
or
$ python3 -m cloudinit.cmd.main devel net-convert
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With no output at all from collect-logs, users have been confused
on where the output is. By default now, write to stderr what that
file is.
Also
* add '-v' to increase verbosity. With a single -v flag, mention
what file/info is being collected.
* limit the 'journalctl' collection to this boot (--boot=0).
collecting entire journal seems unnecessary and can be huge.
* do not fail when collecting files or directories that are not there.
LP: #1766335
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Add a new collect-logs sub command to the cloud-init CLI. This script
will collect all logs pertinent to a cloud-init run and store them in a
compressed tar-gzipped file. This tarfile can be attached to any
cloud-init bug filed in order to aid in bug triage and resolution.
A cloudinit.apport module is also added that allows apport interaction.
Here is an example bug filed via ubuntu-bug cloud-init: LP: #1716975.
Once the apport launcher is packaged in cloud-init, bugs can be filed
against cloud-init with the following command:
ubuntu-bug cloud-init
LP: #1607345
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This branch does a few things:
- Add 'schema' subcommand to cloud-init CLI for validating
cloud-config files against strict module jsonschema definitions
- Add --annotate parameter to 'cloud-init schema' to annotate
existing cloud-config file content with validation errors
- Add jsonschema definition to cc_runcmd
- Add unit test coverage for cc_runcmd
- Update CLI capabilities documentation
This branch only imports development (and analyze) subparsers when the
specific subcommand is provided on the CLI to avoid adding costly unused
file imports during cloud-init system boot.
The schema command allows a person to quickly validate a cloud-config text
file against cloud-init's known module schemas to avoid costly roundtrips
deploying instances in their cloud of choice. As of this branch, only
cc_ntp and cc_runcmd cloud-config modules define schemas. Schema
validation will ignore all undefined config keys until all modules define
a strict schema.
To perform validation of runcmd and ntp sections of a cloud-config file:
$ cat > cloud.cfg <<EOF
runcmd: bogus
EOF
$ python -m cloudinit.cmd.main schema --config-file cloud.cfg
$ python -m cloudinit.cmd.main schema --config-file cloud.cfg \
--annotate
Once jsonschema is defined for all ~55 cc modules, we will move this
schema subcommand up as a proper subcommand of the cloud-init CLI.
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