Git to AWS S3 System

Introduction

Customers may want to isolate the actual repositories from Lingoport's products, especially for Localyzer. One option to do so is to push files to AWS S3 from the repositories and let Localyzer access only S3.

If customers decide on this option, we recommend automating the process from Git to S3 to Localyzer to the TMS and back. One of the keys here is to automate the transfer of the desired files (typically resource files such as.properties or .json) from Git to S3 and from S3 to Git, then to on-board the Localyzer project using S3 as the data source for the resource files.

To do so, the following will be needed:

• Git/S3 System: one system will host the scripts to automate the transfer from Git to S3 and back, most likely inside the customers network.
• Lingoport System: The system hosting Jenkins, Dashboard, etc., connected to S3 and the TMS
• A dedicated S3 bucket: The S3 bucket will have two main top directories:
  • a to_localyzer top level directory: Under this directory will be a directory per Git repository and branch. This is where the configured files (.properties, .resx, .json, etc.) from each repositories will be sent so Localyzer can analyze them and decide which require translations.
  • a from_localyzer top level directory: Under this directory will be a directory per Git repository and branch, created by Localyzer, with translated files.

Install AWS Client V2

On the Unix box, install AWS Client (Version 2). To do so, follow this link

Or quickreference on Linux is:

$ whoami
# should be root, or a user with 'sudo' access

$ curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
$ unzip awscliv2.zip
$ sudo ./aws/install

AWS User

The system authenticates to S3 by providing an AWS aws_access_key_id and the associated aws_secret_access_key.

Most common is to create a service account to provide these credentials.

Please find associated aws documentation here

The provided account must have permissions to read, download from, and write to, the associated AWS S3 bucket.

Storing the AWS Credentials

As the 'jenkins' user on the target system, create /var/lib/jenkins/.aws (~/.aws as 'jenkins'), along with a .aws/config and .aws/credentials.

Examples:

$ whoami
jenkins

$ mkdir -p ~/.aws

$ : #Substitute your region for us-east-1 as needed:

$ cat <<EOF >> ~/.aws/config
[default]
region=us-east-1
output=json
EOF

$ : # Fill in the aws_access_key_id and aws_secret_access_key per your organization's AWS service account:

$ cat <<EOF >> ~/.aws/credentials
[default]
aws_access_key_id=<access key id associated with read+write access to the target S3 bucket per your Org>
aws_secret_access_key=<secret access key associated with the aws_access_key_id above>
notes="S3 Read+Write access for <your Org>"
EOF

Test

Make sure you can read, download from, and write to the target s3 bucket. From the system, try running:

echo "Testing view access:"
aws s3 ls s3://<your bucket>/<optional path>

echo "Testing write access:"
echo "Write me." > test.txt 
aws s3 cp test.txt s3://<your bucket>/<optional path>/test.txt   # --SSE AES256 # <--- uncomment that if encryption is required and your org uses the default AES256 
encryption. Or replace with other settings as needed.

echo "Testing download access:" 
rm test.txt  # remove it so that you have to get it back from s3
aws s3 cp s3://<your bucket>/<optional path>/test.txt .
ls 
# You should see test.txt 

Project Config

First On-Board your Project, (but set the VCS details to 'None'). Then run the associated Jenkins job once (this pre-populates several directories). Note: The Jenkins Job is expected to fail as the setup is not yet complete.

Then, edit the file:

/var/lib/jenkins/Lingoport_Data/L10nStreamlining/<your group>/projects/<your project>/config/config_vcs.properties

Adding the following:

...
VCS_TYPE=S3
...
S3_BUCKET_URL=s3://my-bucket/optionalsubdirs
...

If your bucket uses AES256 encryption, add the following at the end:

S3_OPTS=--sse AES256

Otherwise, leave blank:

S3_OPTS=