The Script
Here is the full script that can be used to generate a report of the cumulative connection time for month/year entries found in a log file:
#!/bin/bash # Define the log file to be analyzed log_file="/path/to/logfile.log" # Define the output file for the report output_file="/path/to/report.txt" # Initialize a variable to store the cumulative connection time connection_time=0 # Get a list of unique months and years from the log file months_years=$(grep -oE "[A-Za-z]{3} [0-9]{4}" "$log_file" | sort | uniq) # Loop through each month and year for month_year in $months_years; do # Extract the number of minutes for the current month and year minutes=$(grep "$month_year" "$log_file" | awk '{print $2}' | cut -d ':' -f 2 | paste -sd+ - | bc) # Add the minutes to the cumulative connection time connection_time=$((connection_time + minutes)) # Output the result to the report file echo "$month_year: $minutes minutes" >> "$output_file" done # Output the final cumulative connection time to the report file echo "Total connection time: $connection_time minutes" >> "$output_file"
Create a Log File in PowerShell Script
In this article, we will be discussing a shell script that can be used to report the cumulative connection time for month/year entries found in a system log file. This script can be useful for network administrators or system administrators who need to analyze log files and get an overview of how much time a particular user or IP address has spent connected to the system. To make this task easier, we can use a shell script to automate the process of extracting this information from a log file. The script provided in this article can be used to report the cumulative connection time for month/year entries found in a system log file. It uses a combination of Linux commands like grep, awk, cut, pastes, and bc to extract the information from the log file and calculate the cumulative connection time. The script can be easily modified to suit the specific requirements of a particular system or log format. Additionally, this script is a basic example and can be extended in many ways to include more advanced filtering or computation.