Upload directories to AWS S3
Upload whole directories or distinct files to AWS S3 using
s3push in command line. Extensive support for different credential sources.
This tool facilitates painless upload of directories to AWS S3. The initial goal was to provide developers with a simple tool that allows them to upload whole directories to S3 with a minimal effort. Initial project vision also contained an option to create and configure a fresh S3-hosted website from scratch.
However, the tool has been written after a very quick research and, as a result, suffered from the "Not invented here" syndrome. After a bit more careful research it was discovered that not only the other directory uploading tools exist, but also that there are far more superior instruments that also allow configuration of buckets and CloudFront CDN (i.e.,
s3cmd). See the rough feature set comparison in the docs.
As a project's post-mortem, it can be concluded that a proper research must be performed prior to the start of development. For example, before developing a new library or a tool it may be very useful to make a simple feature set comparison.
The project will, however, continue to exist as a demonstration of continuous delivery setup for a python package development. The environment for the project is designed to support fully automated releases and testing.
Recommended installation method is via Pipenv:
pipenv install s3push
Installing via Pip instead of Pipenv:
pip install s3push
Publish a directory with default credentials
s3push ~/my-website/ example.com
Publish a file using default credentials
s3push ~/my-website/index.html example.com
Publish with provided key pair
s3push ~/my-website/ example.com -k XXXXXXXXXXXXXXXXXXXX -s xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Publish with saved profile by providing its name
s3push ~/my-website/ example.com -p my-deployment-profile
Note: see all possible options for specifying credentials below.
Priority of credentials providers
- Passing credentials as optional arguments:
-k AWS_ACCESS_KEY_ID, -s AAWS_SECRET_ACCESS_KEY.
- Passing profile name of pre-configured credentials as optional argument:
- Environment variables, as listed in the boto3 guide.
- Default credentials in the shared credential file (
- Default credentials in the AWS config file (
- Boto2 config file (
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