Skip to content

Latest commit

 

History

History
100 lines (68 loc) · 1.63 KB

README.md

File metadata and controls

100 lines (68 loc) · 1.63 KB
Raw

Cameron & Wilding - S3 tool

Requirements

  • python 2.x (>=2.6)
  • pip
  • boto3
  • argparse

Installation

Virtual Python environment (recommended)

pip install virtualenv

Modules

pip install boto3
pip install argparse

Credentials

  • mkdir ~/.aws
  • create a file in ~/.aws/credentials with the content:
[default]
aws_access_key_id = ID
aws_secret_access_key = SECRET
  • add the necessary AWS credentials

Usage

Direct Python API

Upload file

import s3

package = s3.S3UploadPackage(
    file_path="/PATH/TO/FILE",
    project="my_project",
    upload_type=s3.S3UploadType.DB_DUMP,
    rotation_policy=s3.S3RotationPolicy.weekly()
)

s = s3.S3Handler(bucket_name=BUCKET_NAME)
s.upload(package)

Runners

Ping (health check)

Print out "Works!" if it's accessible:

$> python s3_ping.py BUCKETNAME && echo "Works!"

Upload file

$> python s3_upload.py -h

usage: s3_upload.py [-h] [--type TYPE] [--month] [--week] [--day] [--hour]
                    B F P

Upload file to S3 bucket.

positional arguments:
  B            bucket name
  F            file to upload
  P            project it belongs to

optional arguments:
  -h, --help   show this help message and exit
  --type TYPE  type of the upload, possible values: asset, database, files
  --month      add monthly rotation policy
  --week       add weekly rotation policy
  --day        add daily rotation policy
  --hour       add hourly rotation policy

$> python s3_upload.py my_bucket ~/Desktop/dump.sql.gz my_project --type database --day --month