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Private Artifact Manager using Amazon S3

Project description

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

artifact-cli --version

Help

artifact-cli -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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