Difference between revisions of "Git to AWS S3 System"
(→Introduction) |
(→Introduction) |
||
Line 11: | Line 11: | ||
** a '''from_localyzer''' top level directory: Under this directory will be a directory per Git repository and branch, created by Localyzer, with translated files. These files will be picked up by the '''Git/S3 System''' scripts and pushed to the repositories. |
** a '''from_localyzer''' top level directory: Under this directory will be a directory per Git repository and branch, created by Localyzer, with translated files. These files will be picked up by the '''Git/S3 System''' scripts and pushed to the repositories. |
||
− | [File:Git to S3.png|700px|Center] |
+ | [[File:Git to S3.png|700px|Center]] |
= AWS Installation and Configuration== |
= AWS Installation and Configuration== |
Revision as of 14:57, 3 August 2022
Contents
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 Linux system will host the bash 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.) coming from each Git repositories will be retrieved by Localyzer for analysis and sending to translation.
- a from_localyzer top level directory: Under this directory will be a directory per Git repository and branch, created by Localyzer, with translated files. These files will be picked up by the Git/S3 System scripts and pushed to the repositories.
AWS Installation and Configuration=
This section applies to both:
- Git/S3 System: : Note: The disk size should be based on the volume of files sizes for the repositories to be on-boarded.
- Lingoport System:
On both systems, the AWS S3 client need to be installed with the proper credentials.
On the Git/S3 System, the scripts need to be downloaded and set up with Cron with a frequency to be decided by the customer.
On the Lingoport System, the project will be on-boarded using S3 as the VCS method.
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=