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rpm-s3

This small tool allows you to maintain YUM repositories of RPM packages on S3. The code is largely derived from s3yum-updater.

The advantage of this tool is that it does not need a full copy of the repo to operate. Just give it the new package to add, and it will just update the repodata metadata, and upload the given rpm file.

If you're looking for the same kind of tool, but for APT repositories, I can recommend deb-s3.

Requirements

  1. You have python installed (2.6+).

  2. You have your S3 credentials available in the AWS_ACCESS_KEY and AWS_SECRET_KEY environment variables:

     export AWS_ACCESS_KEY="key"
     export AWS_SECRET_KEY="secret"
    

Installation

git clone https://github.com/crohr/rpm-s3 --recurse-submodules

Usage

Let's say I want to add a my-app-1.0.0.x86_64.rpm package to a yum repo hosted in the yummy-yummy S3 bucket, at the path centos/6:

./bin/rpm-s3 -b yummy-yummy -p "centos/6" my-app-1.0.0.x86_64.rpm

Testing

Use the provided /test/test.sh script:

vagrant up
vagrant ssh
AWS_ACCESS_KEY=xx AWS_SECRET_KET=yy BUCKET=zz ./test/test.sh

Also:

./bin/rpm-s3 -b s3-bucket -p "centos/6" --sign my-app-1.0.0.x86_64.rpm

echo "[myrepo]
name = This is my repo
baseurl = https://s3.amazonaws.com/yummy-yummy/centos/6" > /etc/yum.repos.d/myrepo.repo

yum makecache --disablerepo=* --enablerepo=myrepo

yum install --nogpgcheck my-app

Troubleshooting

Requirements if you want to sign packages

Have a gnupg key ready in your keychain at ~/.gnupg. You can list existing secret keys with gpg --list-secret-keys

Have a ~/.rpmmacros file ready with the following content:

%_signature gpg
%_gpg_name Cyril Rohr # put the name of your key here

Pass the --sign option to rpm-s3:

AWS_ACCESS_KEY="key" AWS_SECRET_KEY="secret" ./bin/rpm-s3 --sign my-app-1.0.0.x86_64.rpm

Import gpg key to install signed packages

sudo rpm --import path/to/public/key # this also accepts URLs

TODO

  • Release as python package.
  • Add spec and control files for RPM and DEB packaging.

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Maintain YUM repositories of RPM packages on S3, intelligently.

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  • Python 94.2%
  • Shell 5.8%