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Aviator

GoDoc

Aviator is a tool to template & merge YAML files in a convenient fashion based on a configuration file called aviator.yml. Aviator utilizes Spruce for templating and merging and therefore enables you to use all the Spruce operators in your YAML files.

If you have to handle rather complex YAML files (for Kubernetes, Concourse, or Bosh), you just provide the flight plan (aviator.yml), the Aviator flies you there.

Reads:

Installation

OS X

$ wget -O /usr/local/bin/aviator https://github.com/JulzDiverse/aviator/releases/download/v1.9.0/aviator-darwin-amd64 && chmod +x /usr/local/bin/aviator

Via Homebrew

$ brew tap julzdiverse/tools  
$ brew install aviator

Linux

$ wget -O /usr/bin/aviator https://github.com/JulzDiverse/aviator/releases/download/v1.9.0/aviator-linux-amd64 && chmod +x /usr/bin/aviator

Windows (NOT TESTED)

https://github.com/JulzDiverse/aviator/releases/download/v1.9.0/aviator-win

Usage

To run Aviator navigate to a directory that contains an aviator.yml and run:

$ aviator

OR

Specify an AVIATOR YAML file with the [--file|-f] option:

$ aviator -f myAviatorFile.yml

Configure an aviator.yml

Aviator provides a verbose style of configuration. It is the result of configuring a spruce merge plan and optionally an execution plan (e.g fly).

Example for a simple aviator file:

spruce:
- base: path/to/base.yml
  merge:
  - with:
      files:
      - top.yml
  to: result.yml

Spruce Section

The spruce section is an array of merge steps. It provides different parameters to provide high flexibility when merging YAML files. You can:

  • specify specific files to include into your merge
  • specify a specific directory to include into your merge
  • specify a specific directory including all subdirectories to include into your merge

However, this is not enough. Additionally you can use regular expressions, environment-variables, and more. Read about all parameters and what they do in this section.

Base (string)

The base property specifies the path to the base YAML file. All other YAML files will be merged on top of this YAML file.


Prune (Array)

prune defines YAML properties which will be pruned during the merge. For more information check the spruce merge semantics.

Example:

spruce:
- base: base.yml
  prune:
  - meta
  - properties
  merge:
  - with:
      files:
      - top.yml
  to: result.yml

In this case meta and properties will be pruned during merge.

cherry_pick (array)

Enables Spruce cherry pick option: With the cherry_pick property you can specify specific YAML subtrees you want to have in your restulting YAML file (opposite of prune)

Example:

spruce:
- base: path/to/base.yml
  cherry_pick:
  - properties
  merge:
  - with_in: path/to/dir/
  - with:
      files:
      - top.yml
  regexp: ".*.(yml)"
  skip_eval: true
  to: result.yml

go_patch (bool)

To use spruce in conjuction with the go-patch format it can be enabled within the aviator spruce section as a toplevel bool property:

spruce:
- base: some.yml
   go_patch: true
   merge:
   - with:
        files:
        - some/ops/file.yml
   to: result.yml

Read more about it here


Merge (Array)

You can configure three different merge types inside the merge section: with, with_in, with_all_in:

with

with specifies specific files you want to include into the merge.

  • files (required): List of paths to YAML files

  • in_dir (optional): If all of the files you want to include into the merge are in one specific directory, you can specify the directoyr path and list only file names in the files list. Note: Whenever a directory is defined, the path requires a trailing "/"!!!

  • skip_non_existing (optional): Setting this property to true will skip non existing files that are specified in the files list rather then returning an error. This is useful, if a file is not necessarely there.

Example:

spruce:
- base: path/to/base.yml
  merge:
  - with:
      files:
      - top.yml
      - top2.yml
      - top3.yml
    in_dir: path/to/
    skip_non_existing: true
  to: result.yml

with_in (string)

with_in specifies a path (do not forget the trailing "/") to a directory. All files within this directory (but not subdirectories) will be included in the merge.

Example:

spruce:
- base: path/to/base.yml
  merge:
  - with_in: path/to/dir/
  to: result.yml

except (array)

With except you can specify a list of files you want to exclude from the path specified in with_in

Example:

spruce:
- base: path/to/base.yml
  merge:
  - with_in: path/to/dir/
    except:
    - file1
    - file2
  to: result.yml

This will exclude path/to/dir/file1 and path/to/dir/file2 from the merge.

with_all_in

with_all_in specifies a path (do not forget the trailing "/") to a directory. All files within this directory -including all subdirectories - will be included in the merge.

Example:

spruce:
- base: path/to/base.yml
  merge:
  - with_all_in: path/to/dir/
    except:
    - someFiles.yml
    - youWant.yml
    - toExclude.yml
  to: result.yml

NOTE: except also works for with_all_in

regexp (string(quoted))

Only files matching the regular expression will be included in the merge. It can be specified for all three merge types with, with_in, and with_all_in. This could be required if the target directory contains other then only YAML files.

Example:

spruce:
- base: path/to/base.yml
  merge:
  - with_in: path/to/dir/
    regexp: ".*.(yml)"
  - with:
      files:
      - top.yml
    regexp: ".*.(yml)"
  - with_all_in: path/to/another/dir/
    regexp: ".*.(yml)"
  to: result.yml

skip_eval (bool)

Enabling this skip-eval will merge without resolve spruce expressions. For more information check Spruce doc

Example:

spruce:
- base: path/to/base.yml
  merge:
  - with_in: path/to/dir/
  - with:
      files:
      - top.yml
  regexp: ".*.(yml)"
  skip_eval: true
  to: result.yml

To (string)

to specifies the target file, where the merged files should be saved to. It can be used only in combination with the basic merge types files, with_in, and with_all_in.


ForEach

On top of the basic merge you can do more complex merges with for_each. More precisely, you can execute the basic merge for multiple files specified in for_each. When specifying files with for_each you need to use to_dir instead of to to specify a target directory instead of a target file.

files

files specifies a list of files that will be included in your merge seperately.

Example:

spruce:
- base: path/to/base.yml
  merge:
  - with:
      files:
      - top.yml
    regexp: ".*.(yml)"
  for_each:
    files:
    - env.yml
    - env2.yml
  to_dir: results/

This merge step will execute two merges and generate two files. It will merge base.yml and top.yml with env.yml, write it to results/ and do the same with env2.yml.

in

in is basically the same as files with the difference that it will merge all files for a given path sperately

Example:

spruce:
- base: path/to/base.yml
  merge:
  - with:
      files:
      - top.yml
    regexp: ".*.(yml)"
  for_each:
    in: path/to/dir/
  to_dir: results/

Except

except works in combination with in: list of files that you want to exclude from the merge.

Example:

spruce:
- base: path/to/base.yml
  merge:
  - with:
      files:
      - top.yml
  regexp: ".*.(yml)"
  for_each_in: path/to/dir/
  except:
  - some.yml
  to_dir: results/

include_sub_dirs

include_sub_dirs includes all files including files in all subdirectories of a directory into the merge seperately.

spruce:
- base: path/to/base.yml
  merge:
  - with:
      files:
      - top.yml
  regexp: ".*.(yml)"
  for_each:
    in: path/to/dir
    include_sub_dirs: true
    enable_matching: true
    copy_parents: true
  to_dir: results/

When include_sub_dirs is defined you can specify further properties:

  • enable_matching: this will only include files in the merge, that contains the same substring as the parent directory.

  • copy_parents: setting this property to true (default false) will copy the parent folder of a file to the target directory (in the above example results/)

regexp

The regexp property can also be set in combination with for_each, for_each_in, and walk_through to only include files matching the regular expression.

spruce:
- base: path/to/base.yml
  merge:
  - with:
      files:
      - top.yml
  regexp: ".*.(yml)"
  for_each:
    in: path/to/dir
    include_sub_dirs: true
    enable_matching: true
    copy_parents: true
    regexp: ".*.(yml)"
  to_dir: results/

Read From and Write To Internal Datatsore

Sometimes it is required to do more than one merge step, which creates intermediate YAML files. In this case you can save merge results to internal datastore/cache which you can write/read by surrounding your location with double courly braces {{file|dir}}. Internal cache also work as directories and can be used with to_dir.

Example:

spruce:
- base: path/to/base.yml
  merge:
  - with_in: path/to/dir/
  to: {{result}}

- base: {{result}}
  merge:
  - with_in: another/path/
  to: final.yml

Environment Variables

Aviator supports to read Environment Variables. Environment variables can be set with $VAR or ${VAR} at an arbitrary place in the aviator.yml.

Example:

spruce:
- base: $BASE_PATH/app-${NUMBER}.yml
  merge:
  - with_in: path/to/dir/
  to: {{result}}

- base: {{result}}
  merge:
  - with_in: $TARGET_PATH
  to: $RESULT_YAML

Executing aviator as follows:

$ BASE_PATH=/tmp/ NUMBER=1 RESULT_YAML=result.yml aviator

will resolve:

spruce:
- base: /tmp/app-1.yml
  merge:
  - with_in: path/to/dir/
  to: {{result}}

- base: {{result}}
  merge:
  - with_in: $TARGET_PATH
  to: result.yml

Variables

You can provide variables to aviator files using the --var flag. Basic CLI usage:

$ aviator --var key=value

In you aviator file you need to specify the name of the variable you want to interpolate. The syntax for a variable is the following (( varName )) (note the space before and after the variable name!)

Example:

---
spruce:
- base: (( key ))
  ...

In this example the variable key will be replaced by the value value. So the result would look like this:

---
spruce:
- base: value
  ...

Values for aviator variables can be multi-line

Modifier

With modifier you can modify the resulting (merged) YAML file. You can either delete, set, or update a property. The modifier will always be applied on the result. If you use for_each it will be applied on each for_each merge step.

Consider a resulting YAML from a merge process result.yml, which has a property person.name:

---
person:
  name: Julz
  1. the property can be deleted
spruce:
- base: base.yml
  merge:
  - with:
      files:
      - top.yml
  modify:
    delete:
    - "person.name"
  to: result.yml

It deletes a property only if it exists. There will be no error if a proerty does NOT exist.

  1. the property can be updated:
spruce:
- base: base.yml
  merge:
  - with:
      files:
      - top.yml
  modify:
    update:
    - path: person.name
      value: newName
  to: result.yml

Using update will update existing properties only.

  1. Other properties can be added/updated with set:
spruce:
- base: base.yml
  merge:
  - with:
      files:
      - top.yml
  modify:
    set:
    - path: person.name
      value: NewName
  to: result.yml

Set updates or adds a property to an array. If a property exists it will be overwritten, if the property does not exist it will be added (works only for maps not arrays).

Aviator uses goml as YAML modifier. If you want to read more about update, delete, and set, check the README.


Squash Section

You can squash multiple files into one single YAML file using the squash section.

Squashing specific files

squash:
  contents:
  - files:
    - deployment.yml
    - service.yml
  to: app.yml

Squash files from a directory

squash:
  contents:
  - dir: my/dir/
  to: app.yml

Executors

Executors execute executables installed on the OS that Aviator is running on. The following three executors are currently supported by Aviator:

  • kubectl Executor
  • fly Executor
  • Generic Executor: Runs an any specified executable.

kubectl executor

Execute kubectl apply with the following options:

Supported flags

  • file: Name of the file to kubectl apply
  • force: calls kubectl apply with the --force flag
  • dry_run: calls kubectl apply with the --dry-run flag
  • overwrite: calls kubectl apply with the --overwrite flag
  • recursive: calls the kubectl apply with the --recursive flag
  • output: calls the kubectl apply with the --output=<desired-ouput> parameter
  • kustomize: calls the kubectl apply with the --kustomazation/-k flag rather than with --filename/-f.
    • Read more about kubectl apply + kustomization here and here

You can read about the details of the flags of kubectl apply here

Example:

kubectl
  apply:
    file: deployment.yml
    force: true
    dry_run: true
    overwrite: true
    recursive: true
    output: yaml

Kustomize Example:

When kustomize flag in aviator is set to true it will call kubectl apply with the --kustomization/-k flag, which expects a directory path. The directory paht needs to be specified in the file property of kubectl.apply:

kubectl:
  apply:
    file: kustomization/path/
    kustomize: true

Fly Executor

An executor for the Concourse Fly CLI. The supported commands are set-pipeline, validate-pipeline, format-pipeline, and expose-pipeline/hide-pipeline. The set-pipeline and hide-pipeline commands are executed by default. Here is the list of commands and flags that can be used with aviator:

  • name: Name of the pipeline
  • target: Target short name (fly target)
  • config (string): the pipeline config file (yml)
  • load_vars_from (array): List of all property files (-l)
  • vars (map): Map of variables (--var)
  • non_interactive (bool): Enables non-interactive mode (-n)
  • expose (bool): Exposes the pipeline (expose-pipeline)
  • validate_pipeline (bool): Validate local pipeline configuration (failes on errors)
  • strict (bool): causes validate_pipeline to fail on errors AND warnings
  • format_pipeline (bool): format a pipeline config in a "canonical" form (prints to stdout).
  • write: update the formatted pipeline config file in-place.
  • team_name (string): the team name to fly for set-pipeline

More detailed description of the flags can be found here

Example - set-pipeline:

fly:
  name: myPipelineName
  target: myFlyTarget
  team_name: concourse-team
  config: pipeline.yml
  non_interactive: true
  check_creds: true
  load_vars_from:
  - credentials.yml
  vars:
    var1: myvar
    var2: myvar2
  expose: true

Example - validate-pipeline:

fly:
  config: myconfig.yml
  validate_pipeline: true
  strict: true

Example - format-pipeline:

fly:
  config: myconfig.yml
  format_pipeline: true
  write: true

NOTE: You will need to fly login first, before executing aviator

Generic Executor

The Generic Executor executes any specified executable. Here is how to define an Generic Executor in the aviator.yml:

exec:
- executable: some-executable # required
  global_options: # optional
  - name: --option
    value: option-value
  command: # optional
    name: command-name
    options:
    - name: --command-option
      value: command-option-value
  args:
  - arg1
  - arg2

This will executed as $ some-executable --option option-value command-name --command-option command-option-value arg1 arg2

Example: cp

exec:
- executable: cp
  global_options:
  - name: -r
  args:
  - dir/
  - destination/

This calls cp as follows: $ cp -r dir/ destination/


CLI Options

--curly-braces

Some YAML based tools (like concourse in the past) are using {{}} sytnax. This is not YAML conform. Using the --curly-braces option you can allow this syntax.

--silent

This option will output no infromation to stdout.

--verbose

This option prints which files are excluded from a merge.

--dry-run

This option prints contents to stdout rather than writing it to files. This flag also omits any defined executor.

--var

You can provide variables to the aviator file.


Development

$ go get github.com/JulzDiverse/aviator

Build Aviator

To build the aviator binary you can navigate to cmd/aviator:

$ cd ./cmd/aviator`

Now you can build with the go cli:

$ go build 

For more information on the $ go build command run $ go help build.