Python AWS 🐍

Description

This project means to be an AWS library, providing access to several AWS objects. For now, only the upload function is provided.

Environment configuration

In order to setup the virtual environment, we can follow the next statements.

For pipenv installation:

$> pip install --upgrade pip && pip install pipenv

Then, you have to install the required packages.

$> pipenv install

To activate the virtual environment, exceute the following command:

$> pipenv shell

Default application arguments

Uploading files

A main.py file is provided in the root folder. The main program defines the following parameters by default:

• -v / --verbose [optional]: flag to let know the application to show debug messages. By default, logging is configured in the INFO level. So, debug messages won't be shown.
• -c / --console-logging [optional]: flag to let know the application to show logging messages in to the standard output. By default, logging is performed to a log file.
• -d / --directory [optional]: Folder with files to upload.
• -f / --file [optional]: File to upload.
• -r / --remote [optional]: Remote folder to where upload the file or files.
• -b / --bucket: The S3 bucket name.

NOTA: At least a directory or a file has to be provided.

AWS credentials

AWS id and secret token pair values are stored in your local machine. Follow this link for more information on AWS credentials

Examples

Upload a file to a bucket

$> python3 upload.py -b my-bucket -f my-file.txt

Upload a complete folder and subdolfers to a bucket

$> python3 upload.py -b my-bucket -d my-folder

Upload a file to specific folder in to a bucket

$> python3 upload.py -b my-bucket -f my-file.txt -r folder1/subfolder3

Contributors

Say hello!