This is something I have heard about in the past but never used. So this week, as finally decided to write a script to help me to find the peers of flapping ports, learned about pandas from first time. I used another script as “inspiration” and after seeing it was using pandas, I decided to read a bit about it and give it a go.
The main type is the DataFrame. In my head, pandas is just a library to deal with CSV, spreadsheets, etc like when you use a program like libreoffice. And this page, gave me the hints for creating the query I wanted to make.
So at the end I have my very basic script but saves me time logging to each device and find the peer port.
Of course, there are different ways to tackle this problem, but in my environment, the source of truth for links is in a file. You could have that info in the port description too, or in a database, etc.
$ python3 flapping-peer.py -f flapping-list.txt Result: SW1 Ethernet1/1 SW2 Ethernet1/1 SW1 Ethernet1/4 SW2 Ethernet1/4 $ $ cat flapping-list.txt SW1,Ethernet1/1 SW2,Ethernet1/4 $ $ cat patching-file.csv Site,Source Device,Source Interface,Destination Device,Destination Interface,Media A,SW1,Ethernet1/1,SW2,Ethernet1/1,SMF A,SW1,Ethernet1/2,SW2,Ethernet1/2,SMF A,SW1,Ethernet1/3,SW2,Ethernet1/3,SMF A,SW1,Ethernet1/4,SW2,Ethernet1/4,SMF A,SW1,Ethernet1/5,SW2,Ethernet1/5,SMF $