This project provides a set of tools to download, parse, and convert AWS Cost and Usage Reports (CUR) to JSON format. It is designed to help users analyze their AWS usage and costs more effectively.

• aws_cur_processor/: Main package containing the source code.
  • scripts/: Helper scripts
    • Terraform/: Location for Terraform files
      • CUR_Dashboard.tf : Creation of a pre-made AWS Cost and Utilization (CUR) dashboard
  • src/: Source code directory for the project modules.
    • aws_s3_client.py: Module to handle AWS S3 interactions.
    • csv_parser.py: Module to parse CSV files.
    • json_converter.py: Module to convert CSV data to JSON format.
  • tests/: Directory containing test cases for the project modules.
• .gitignore: Git ignore file specifying untracked files and directories.
• README.md: Markdown file providing information about the project (this file).

To set up the project, follow these steps:

1. Clone the repository:

   git clone [email protected]:jaycdave88/aws_cur_processor.git

2. Navigate to the project directory:

   cd aws_cur_processor

3. Create a virtual environment (optional but recommended):

   python -m venv myenv
   source myenv/bin/activate  # On Windows use `myenv\Scripts\activate`

4. Install the required dependencies:

   pip install -r requirements.txt

To use the AWS CUR processor, you need to have AWS credentials set up with access to the S3 bucket where your CUR files are stored.

1. Set your AWS credentials as environment variables:

   export AWS_ACCESS_KEY_ID=your_access_key
   export AWS_SECRET_ACCESS_KEY=your_secret_key
   export AWS_DEFAULT_REGION=your_region

2. Run the main script to process the CUR files:

   python main.py

The script will download the CUR file from the specified S3 bucket, parse the CSV data, convert it to JSON, and save the output to a file named output.json.

When calling main_function, you need to provide the following parameters:

• bucket_name: The name of the AWS S3 bucket where the CUR file is stored.
• s3_file_path: The path to the CUR file within the S3 bucket.
• local_file_path: The local path where the CUR file will be downloaded.
• access_key: Your AWS access key ID.
• secret_key: Your AWS secret access key.
• region: The AWS region where the S3 bucket is located.

Note: For local processing, only the local_file_path parameter is required. For S3 processing, bucket_name, s3_file_path, access_key, secret_key, and region are required.

Contributions to the aws_cur_processor project are welcome. Please feel free to submit pull requests or create issues for bugs and feature requests.

This project is licensed under the MIT License - see the LICENSE file for details.