New Method

Create a method called parse$().$ It must accept an argument that contains an integer value representing the month $(1-12).$ Hint: Command line arguments are strings by default!

In this method, use a list comprehension to filter ONLY the log entries whose event$\_$time matches the month of the argument.

Print the number of log entries from this month to the screen.

New Argument

To implement this action, you will need to accept a new NON$-$REQUIRED command line argument $--$month, or $-$m

Implement the New Method

Update your program to allow the user to provide the value $$parse$$ to the $--$action argument.

If the user chooses this action, verify that they have passed in a valid month $($it will be an integer from $1-12).$

If the month is valid, call the parse$()$ method and pass the value of the $--$month argument.

View the Result

The command

python index.py $--$filename firewall$\_$logs$\_2022.$csv $--$action parse $--$month $11$

Should result in a print$()$ statement that says the following $($the number will be different based on the data$)$:

$12,345$ log entries were recorded in month $11.$

Export Data $($up to $15$ points$)$

If a user correctly executes the command to parse a specific month of data, also add the functionality that writes ONLY the events that occurred in that month to a new CSV file.

For example, if the user chose $11$ as their month, your program should produce a CSV file named $2022\_11\_$logs$.$csv

Hints and Tips

$$ You can use the csv$.$DictWriter module to create a CSV file

$$ Remember that the imported data in your program is stored as a list of objects of class LogEntry. You will need to convert the filtered objects into dictionaries before using DictWriter.

$$ Your CSV file should contain a header row that labels all the $$columns$$ in the remaining rows of your CSV file $($it should have the same structure as the firewall$\_$logs$\_$sample.csv file$).$