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artifact-cli

Private Artifact Manager using Amazon S3

PyPI version

Build Status

Coverage Status

License

'Stories in Ready'

Features

  • Easy & lightweight artifact manager for Java/Scala
    • Especially optimized for all-in-one package (e.g. the result of sbt dist or sbt assembly)
  • No database or extra servers needed except Amazon S3
  • Quite simple command line interface (CLI)
  • Integrate your daily build & deploy tasks

Dependencies

  • Python 2.6 / 2.7
  • pytz
  • python-dateutil
  • GitPython >= 0.3.5
  • boto >= 2.38.0
  • moto (for testing)

Installation

  • pip command may need sudo
Operation Command
Install pip install artifact-cli
Upgrade pip install --upgrade artifact-cli
Uninstall pip uninstall artifact-cli
Check installed version art --version
Help art -h

Quickstart Guide

1. Create your Amazon Web Services account (if need)

The responsibility of the AWS's charge is your own.

2. Create IAM User to access Amazon S3 (if need)

Manage your own access key ID and secret access key to call the APIs.

3. Create Amazon S3 bucket

Set permissions to the IAM user.

4. Make configuration file

Create ~/.artifact-cli file and write credentials for AWS like this:

[default]
aws_access_key_id = XXXXXXXXXXXXXXXXXXXX
aws_secret_access_key = XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
bucket = your-bucket-name
region = your-region (e.g. ap-northeast-1, us-east-1)

You can override these settings by specifying command line options or environment variables.

  • Command Line Options (will override the settings from environment variables)
Option Description
--access ACCESS_KEY AWS access key.
--secret SECRET_KEY AWS secret key.
--bucket BUCKET_NAME S3 bucket name.
--region REGION Region name of the S3 bucket.
  • Environment Variables
Variable Name Description
AWS_ACCESS_KEY_ID AWS access key.
AWS_SECRET_ACCESS_KEY AWS secret key.
AWS_DEFAULT_REGION Region name of the S3 bucket.

5. Check connection

Now, you are ready for using art command in the shell. Just list your artifacts:

$ art list GROUP_ID
[INFO] No artifacts.

Of course, there are no artifacts!

6. Build the artifact

Building is outside the reach of this tool. In other words, you can build as you like.

7. Upload the artifact

In the builder's environment, you can upload the artifact to Amazon S3:

$ art upload GROUP_ID /path/to/your-artifact-0.0.1.jar

Specify group id and your local file path.

Artifact ID, version and packaging(=extension) are automatically parsed from the given file name.
In this case, artifact ID is your-artifact, version is 0.0.1 and packaging is jar.

8. View the artifact information

To view the index data, run art list or art info.

9. Download the artifact

Login to the deployer's environment, then download the artifact from Amazon S3:

$ art download GROUP_ID /path/to/deployers/your-artifact-0.0.1.jar 1

To download the latest revision, use latest keyword. (case-sensitive):

$ art download GROUP_ID /path/to/deployers/your-artifact-0.0.1.jar latest

10. Deploy

Deploy the artifact any way you like!

11. And then ...

For further information, type art -h.

Amazon S3 Paths

The structure of the paths is the following:

your-bucket-name
├── group.id.1                          // group ID
│   ├── .meta                           // meta data directory for each group
│   │   ├── index-awesome-project.json  // index data is written as JSON for each artifact ID
│   │   └── index-play-project.json
│   ├── awesome-project                 // artifact ID
│   │   ├── 0.0.1                       // version
│   │   │   ├── 1                       // revision (auto assigned, starting from 1)
|   │   │   │   └── awesome-project-0.0.1.jar
|   │   │   ├── 2
|   │   │   │   └── awesome-project-0.0.1.jar
|   │   │   ├── 3
|   │   │   │   └── awesome-project-0.0.1.jar
|   │   │   └── 4
|   │   │       └── awesome-project-0.0.1.jar
│   │   └── 0.0.2-SNAPSHOT
│   │       ├── 1
|   │       │   └── awesome-project-0.0.2-SNAPSHOT.jar
|   │       └── 2
|   │           └── awesome-project-0.0.2-SNAPSHOT.jar
│   └── play-project
│       └── 0.0.1
│           └── 1
|               └── play-project-0.0.1.zip
└── group.id.2
    ├── .meta
    │   └── index-awesome-project.json 
    └── awesome-project                 // completely separated to the group.id.1's artifact
        └── 0.0.1
            └── 1
                └── awesome-project-0.0.1.zip

Notes

  • This tool supports only artifact-id-level concurrency.
    • Simultaneous uploading of the artifacts with same artifact id could let repository broken.

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Private Artifact Manager using Amazon S3

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