This is a follow-up to my post about extracting data from Avaya Communication Manager. In that post, I showed you how to extract any “list”, “display”, or “status” from Avaya Communication Manager to a text file. First, I would like to show you my bash shell script that extracts this data. And then I’ll show you my perl script that converts the output to a text file that you can open with Excel or import into a database.
What information should you pull from Communication Manager? Well, in my case, I have a text file called ‘commands.txt’ that contains these lines:
status trunk 1
status trunk 2
status trunk 8
status trunk 11
status trunk 16
status trunk 21
status trunk 79
status station 2291
status station 2292
status station 2293
status station 2294
list off s
So those are the various pieces of information that I care about. Looking at that info, those are my active trunk groups, and I want to know the status of four particular extensions (those happen to be the digital ports of my fax server). Also, I have a port network, so I want the status of IPSIs. Anyway, think about all the stuff you care about when you log into your PBX in the morning. And stick them in that “commands.txt” file. I put a “display time” at the beginning and end so I can look at the file later and tell how long it took to run the file.
So we want to run these commands automatically. So let’s create a file called “sanity.sh” and put this in the file:
perl /home/roger/avaya/sanity/av.pl /home/ARES/randerson/avaya/sanity/la.pbx /home/roger/avaya/sanity/commands.txt >$file
perl /home/roger/avaya/sanity/sanity.pl $file
Once you save the file, make it executable with
chmod +x sanity.sh
Let’s go over this script line-by-line, okay?
- The first line creates a variable for the file that will contain the data. There’s a little linux trick to embed a timestamp in the filename.
- The second line runs the file av.pl that I shared with you in a previous post about this script. It’s magical. I cannot take all the credit, but I have modified it for our purposes.
- The third line runs a file that parses the output of all the commands. This is a very useful script and I can take full credit for this one. It generates a list of “key/value” pairs to a text file.
My thought process with this script is to create a unique key for every piece of useful data. For example, I want the name, IP address, firmware version, gatekeeper, and network region for every station. I also want the EC500 mapping. And I would like the port number for analog stations. Oh! I also want a sense of low or high priority (Is it bad if the data changes?) and I need to include a site identifier in case I have the same extension in multiple sites. That’s a lot of information to display. And, if I have 1000 stations, it’s too much to display all this information on separate lines. That’s like 7000 lines of data for my stations. Fine for machines to read, but it seemed like too much for humans. I want to put them into one (and in the case of ec500, two) lines of data. I do this by assigning a “Key name” for my stations like this:
||Anderson, Roger (ip=10.10.60.138;reg=3;ver=3.260A;gk=10.2.86.180)
See how much data I squeezed into that? And note that very few stations will have off-pbx information. Most stations will just have that station.status key. The script called sanity.pl takes the raw output from the Communication Manager and converts it to these key/value pairs above. Here is a link to sanity.pl. You’ll need to rename it to a ‘.pl’ file. This should compile just fine. When you copy it to your linux server, try
perl -c sanity.pl
That -c just means to check the syntax and don’t run it. It hopefully says “syntax okay”. Actually, I’m sorry but you’ll need to edit the file and change line 45 to the path where you want your ‘keyvalues.txt’ file, which will contain all your data. This should use a command line param, but it doesn’t. Sorry.
You might consider looking in more detail at this file. It’s where the magic happens and it’s a good framework for parsing other data. If you’re interested, here is a summary of how it works:
- Starting in line 56, we check the raw text file line-by-line looking for the header for each ‘list’ or ‘display’ or ‘status’ section. For example, when we see the text ‘REGISTERED IP STATIONS’, then we know we are expecting to see the result of a ‘list reg’ (by setting our variable of type to 7).
- Then on line 183 we actually process the registration status of stations. If type=7, then we are in the ‘list reg’ mode and if a line contains registration information for a station, then we capture the data.
- Each section has some customization, but you’ll notice that (almost) each section performs a ‘set_data’ of the keys and values appropriate for that section.
- At the end, the trunk group and station summary is generated and the keys are reported alphabetically.
Here are some examples of what the script does:
- The script parses ‘list station’ and assumes all stations are unregistered.
- The script parses ‘list reg’ and fills in the registration status for all stations (anything not parsed in this section has a status of ‘unregistered’)
- The script parses ‘status trunk xxx’ and simply counts the trunks that are in service (ignoring the “idle/in use” values. We just count trunk members in service
- The script parses ‘status cdr’ and simply stores the percent full of the buffers
- The script parses ‘list off s’ and stores the off pbx mappings for all stations
- The script parses various critical fields for IPSIs, media gateways, and survivable servers
- The script parses ‘list call-forwarding’ and generates a list of all stations that are call forwarded.
At this point, if you ran the bash script, you would have an awesome list of keys and values in a text file called keyvalues.txt. You probably don’t need to know anything about Perl to get this working for you. But if you do know a bit of Perl, you’ll be able to do amazing things with it.
This data is useless unless you’re looking at it. In a future post, I will show you how to schedule this script with cron, push the data into a database, read it with a simple ‘web site in a single file’ php script, filter the data (including historical values!), and get alerts when the values change.
And then I have something REALLY amazing to show you!
Thanks for reading, everyone! Feel free to contact me at email@example.com or post a comment here. If you need help getting this code working, or you want to tweak it a bit, let me know!