Packer
Packer Commands (CLI)
Packer is controlled using a command-line interface. All interaction with
Packer is done via the packer
tool. Like many other command-line tools, the
packer
tool takes a subcommand to execute, and that subcommand may have
additional options as well. Subcommands are executed with packer SUBCOMMAND
,
where "SUBCOMMAND" is the actual command you wish to execute.
If you run packer
by itself, help will be displayed showing all available
subcommands and a brief synopsis of what they do. In addition to this, you can
run any packer
command with the -h
flag to output more detailed help for a
specific subcommand.
The documentation contains information about each subcommand.
Machine-Readable Output
By default, the output of Packer is very human-readable. It uses nice formatting, spacing, and colors in order to make Packer a pleasure to use. However, Packer was built with automation in mind. To that end, Packer supports a fully machine-readable output setting, allowing you to use Packer in automated environments.
Because the machine-readable output format was made with Unix tools in mind, it
is awk
/sed
/grep
/etc. friendly and provides a familiar interface without
requiring you to learn a new format.
Enabling Machine-Readable Output
The machine-readable output format can be enabled by passing the
-machine-readable
flag to any Packer command. This immediately enables all
output to become machine-readable on stdout. Logging, if enabled, continues to
appear on stderr. An example of the output is shown below:
$ packer -machine-readable version
1498365963,,version,1.0.2
1498365963,,version-prelease,
1498365963,,version-commit,3ead2750b+CHANGES
1498365963,,ui,say,Packer v1.0.2
The format will be covered in more detail later. But as you can see, the output
immediately becomes machine-friendly. Try some other commands with the
-machine-readable
flag to see!
~>; The -machine-readable
flag is designed for automated environments and
is mutually-exclusive with the -debug
flag, which is designed for interactive
environments.
Format for Machine-Readable Output
The machine readable format is a line-oriented, comma-delimited text format.
This makes it more convenient to parse using standard Unix tools such as awk
or grep
in addition to full programming languages like Ruby or Python.
The format is:
timestamp,target,type,data...
Each component is explained below:
timestamp
is a Unix timestamp in UTC of when the message was printed.target
When you callpacker build
this can be either empty or individual build names, e.g.amazon-ebs
. It is normally empty when builds are in progress, and the build name when artifacts of particular builds are being referred to.type
is the type of machine-readable message being outputted. The two most commontype
s areui
andartifact
data
is zero or more comma-separated values associated with the prior type. The exact amount and meaning of this data is type-dependent, so you must read the documentation associated with the type to understand fully.
Within the format, if data contains a comma, it is replaced with
%!(PACKER_COMMA)
. This was preferred over an escape character such as \'
because it is more friendly to tools like awk
.
Newlines within the format are replaced with their respective standard escape
sequence. Newlines become a literal \n
within the output. Carriage returns
become a literal \r
.
Machine-Readable Message Types
Here's an incomplete list of types you may see in the machine-readable output:
You'll see these data types when you run packer build
:
ui
: this means that the information being provided is a human-readable string that would be sent to stdout even if we aren't in machine-readable mode. There are three "data" subtypes associated with this type:artifact-count
: This data type tells you how many artifacts a particular build produced.artifact
: This data type tells you information about what Packer created during its build. An example of output follows the patterntimestamp, buildname, artifact, artifact_number, key, value
wherekey
andvalue
contain information about the artifact.For example:
1539967803,,ui,say,\n==> Builds finished. The artifacts of successful builds are: 1539967803,amazon-ebs,artifact-count,2 1539967803,amazon-ebs,artifact,0,builder-id,mitchellh.amazonebs 1539967803,amazon-ebs,artifact,0,id,eu-west-1:ami-04d23aca8bdd36e30 1539967803,amazon-ebs,artifact,0,string,AMIs were created:\neu-west-1: ami-04d23aca8bdd36e30\n 1539967803,amazon-ebs,artifact,0,files-count,0 1539967803,amazon-ebs,artifact,0,end 1539967803,,ui,say,--> amazon-ebs: AMIs were created:\neu-west-1: ami-04d23aca8bdd36e30\n 1539967803,amazon-ebs,artifact,1,builder-id, 1539967803,amazon-ebs,artifact,1,id, 1539967803,amazon-ebs,artifact,1,string, 1539967803,amazon-ebs,artifact,1,files-count,0 2018/10/19 09:50:03 waiting for all plugin processes to complete... 1539967803,amazon-ebs,artifact,1,end
You'll see these data types when you run packer version
:
version
: what version of Packer is runningversion-prerelease
: Data will containdev
if version is prerelease, and otherwise will be blank.version-commit
: The git hash for the commit that the branch of Packer is currently on; most useful for Packer developers.
Autocompletion
The packer
command features opt-in subcommand autocompletion that you can
enable for your shell with packer -autocomplete-install
. After doing so, you
can invoke a new shell and use the feature.
For example, assume a tab is typed at the end of each prompt line:
$ packer p
plugin build
$ packer build -
-color -debug -except -force -machine-readable -on-error -only -parallel -timestamp -var -var-file