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Cloud-init caches any cloud metadata crawled during boot in the file
/run/cloud-init/instance-data.json. Cloud-init also standardizes some of
that metadata across all clouds. The command 'cloud-init query' surfaces a
simple CLI to query or format any cached instance metadata so that scripts
or end-users do not have to write tools to crawl metadata themselves.
Since 'cloud-init query' is runnable by non-root users, redact any
sensitive data from instance-data.json and provide a root-readable
unredacted instance-data-sensitive.json. Datasources can now define a
sensitive_metadata_keys tuple which will redact any matching keys
which could contain passwords or credentials from instance-data.json.
Also add the following standardized 'v1' instance-data.json keys:
- user_data: The base64encoded user-data provided at instance launch
- vendor_data: Any vendor_data provided to the instance at launch
- underscore_delimited versions of existing hyphenated keys:
instance_id, local_hostname, availability_zone, cloud_name
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Allow users to provide '## template: jinja' as the first line or their
#cloud-config or custom script user-data parts. When this header exists,
the cloud-config or script will be rendered as a jinja template.
All instance metadata keys and values present in
/run/cloud-init/instance-data.json will be available as jinja variables
for the template. This means any cloud-config module or script can
reference any standardized instance data in templates and scripts.
Additionally, any standardized instance-data.json keys scoped below a
'<v#>' key will be promoted as a top-level key for ease of reference in
templates. This means that '{{ local_hostname }}' is the same as using the
latest '{{ v#.local_hostname }}'.
Since instance-data is written to /run/cloud-init/instance-data.json, make
sure it is persisted across reboots when the cached datasource opject is
reloaded.
LP: #1791781
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Building doc would issue some warnings. This fixes all the warnings,
and changes the "code blocks" that were listed as 'bash' to instead
be 'shell-session'.
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Give a bit more detailed information which others can quickly reference to
discover new CLI subcommand functionality. This section was a bit stale as
we've introduced cloud-init status, clean and analyze content that was a
bit under represented. Since we've had a few request of externals who try
to run cloud-init subcommands on the commandline instead of rebooting,
it's probably worth a bit of content here to describe how those init and
module subcommands work.
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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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example
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This exposes a mechanism for users of cloud-init to determine if
a version has a specific feature, and adds documentation to that affect.
We list an existing feature NETWORK_CONFIG_V1 as an example.
Also add a 'features' subcommand for listing these to stdout.
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The biggest things here are:
* move doc/sources/*/README.rst to doc/rtd/topics/datasources
This gives each datasource a page in the rtd docs, which make
it easier to read.
* consistently use the same header style throughout.
As suggested at
http://thomas-cokelaer.info/tutorials/sphinx/rest_syntax.html
use:
# with overline, for parts
* with overline, for chapters
=, for sections
-, for subsections
^, for subsubsections
“, for paragraphs
Also, move and re-format vendor-data documentation to rtd.
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Include a new set of docs that can be used to
create a readthedocs.org site, which includes
examples, directory layout, capabilities and
such. This in-code documentation then allows
for readthedocs.org to create a website directly
from the cloud-init codebase.
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