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

pip3 install pandas xlsxwriter

Step 2: Navigate to the script location:

cd /xcompute/slurm/aws/cost_calculation

Step 3: Run the script:

General Usage:

python3 scan.py  [options]

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