If you find this repository useful, please consider giving it a star. Your support is greatly appreciated! :pray:
AWS Nuke Exporter is a Python tool designed to parse and export the output logs of the aws-nuke command into more structured and readable formats: JSON or CSV. This tool simplifies the process of analyzing and storing the results generated by AWS Nuke, making it easier for users to review and track the resources managed by AWS Nuke.
aws-nuke
command execution)You can install aws-nuke-exporter
directly from PyPI:
pip install aws-nuke-exporter
This command will install the latest version of the aws-nuke-exporter
package along with all necessary dependencies.
Alternatively, you can clone the repository and install it manually:
git clone https://github.com/oijkn/aws-nuke-exporter.git
cd aws-nuke-exporter
python setup.py install
After installation, you can use aws-nuke-exporter
from the command line:
aws-nuke-exporter <path-to-aws-nuke-output> -f <format> -d <destination-path>
Or alternatively, build and use the Docker image. To build the image:
docker build -t aws-nuke-exporter .
To use the docker image run it as follows:
docker run docker run --rm -v $PWD/:/data <image_name> /data/<aws-nuke-output_file> -d /data/<exported_file>
path-to-aws-nuke-output
: The file path where AWS Nuke output is stored.-f, --format [json|csv]
: The output format. Choose between JSON and CSV (default: JSON).-d, --destination
: The path where the exported file will be saved (optional).-q, --quiet
: Run in quiet mode, no logs will be printed to stdout (default: False).-v, --version
: Prints the version of the tool.Export AWS Nuke output to JSON:
aws-nuke-exporter output.log -f json
Export AWS Nuke output to CSV with a custom destination:
aws-nuke-exporter output.log -f csv -d /path/to/export.csv
Run the docker image, passing in the current directory and exporting as JSON to a file named 'export.json':
docker run --rm -v $PWD/:/data nuke-export /data/aws-nuke-output.txt -d /data/export.json
Contributions to the AWS Nuke Exporter are welcome. Please ensure that your code adheres to the existing style and that all tests pass.
This project is licensed under the GNU General Public License (GPL).
For any questions or feedback, please open an issue on GitHub.