README.md

Overview

This script processes "cost data" from Oracle Cloud Infrastructure (OCI).

The data is sourced from OCI's Cost Management, specifically from the "Cost Analysis" -> "Cost Details" section.

Steps

1. Download Data:

   • Log in to Oracle Cloud Infrastructure.
   • Navigate to Cost Management -> Cost Analysis -> Cost Details.
   • Click on "Download table as CSV" to obtain the cost data.

2. Data Processing:

   • The downloaded CSV data is processed to extract relevant columns: Date (UTC), Block Storage, Compute, Database, Load Balancer, MySQL, Object Storage, Telemetry, Virtual Cloud Network, and Total (all in USD).
   • If the amounts in JPY are converted to USD using an exchange rate (example: 1 USD = 150 JPY).

3. Script Execution:

   • The script iterates over the processed data and prints each date along with the total cost in USD.
   • The output format is: Date (UTC): <date>, Total (USD): <total>.

Example

import pandas as pd

def print_date_total_oci_from_csv(file_path):
    # Load the CSV file into a DataFrame
    dataframe = pd.read_csv(file_path)
    
    # Iterate over each row and print Date (UTC) and Total (USD)
    for index, row in dataframe.iterrows():
        print(f"Date (UTC): {row['Date (UTC)']}, Total (USD): {row['Total (USD)']}")

# Example usage
if __name__ == "__main__":  
  csv_file_path = "oci-cost-details.csv"
  print_date_total_oci_from_csv(csv_file_path)

Output

Date (UTC): May 16 2024, Total (USD): 1.3608014053333333
Date (UTC): May 17 2024, Total (USD): 1.699895054
Date (UTC): May 18 2024, Total (USD): 1.699895054
Date (UTC): May 19 2024, Total (USD): 1.699895054
Date (UTC): May 20 2024, Total (USD): 0.20968403153333334
Date (UTC): May 21 2024, Total (USD): 0.060215053760000005
Date (UTC): May 22 2024, Total (USD): 0.060215053760000005
Date (UTC): May 23 2024, Total (USD): 0.055197126613333335
Date (UTC): May 24 2024, Total (USD): 6.785582786666667