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Step 1: Current location of the cost script: This section will guide you through the process of generating a savings and migration report using the provided cost calculation script.

Prerequisites:

Ensure the following Python packages are installed:

• pandas

• xlsxwriter

Running the Scanning Script:

Step 1: Check pandas and xlsxwriter are installed. If not, run:

pip3 install pandas xlsxwriter

Step 2: Navigate to the script location and copy over pricing files:

cd /xcompute/slurm/

...

bin/cost_calculation

...

Step 2: Usage

 && mkdir -p /etc/xspot/aws-pricing && cp -r ./pricing/* /etc/xspot/aws-pricing/

Step 3: Run the script:

General Usage:

python3 scan.py -l /xcompute/logs/0001-2024-05-23T13:47:22Z-ip-10-0-31-103/var/log/xspot/0001-2024-05-23-13:48:42-ip-10-0-31-103

...

 [options]

Options:

• -l, --logs: Location of log files to parse: must be a directory. (default: /xcompute/logs)

• -w, --worker: Number of worker processes for scanning. (default: number of CPUs minus one)

• -s, --start: Start day in UTC (format: YYYY-MM-DD). (default: 30 days ago)

• -e, --end: End day in UTC (format: YYYY-MM-DD). (default: tomorrow)

• -n, --num_days: Number of days: start with today or number of days since, and end with end of day today, overriding any -s or -e entry. (default: this parameter is not used)

• -o, --output: Output file name. (default: ./out.xlsx)

Examples:

python3 scan.py -l logs/
python3 scan.py -l /var/log/logs/ -s 2024-01-01 -e 2024-02-01
python3 scan.py -l /var/log/logs/ -n 60