All this time, the solution to my problems was just in front of my eyes.
While I am
procrastinating getting ready for the 100DaysOfCode challenge, I am working on a project to rewrite a bash script in Python3.
Today I solved two problems in one go. I am sure the experienced coder would have done it in a minute and with time to spare, but hey that’s how we learn.
My first problem was to nicely transform a list of strings in a way that would make it easier to do multiple regex search on it.
The list looks like this:
ID : 0:0:2
Status : Non-Critical
Name : Physical Disk 0:0:2
State : Online
Failure Predicted : Yes
Progress : Not Applicable
Bus Protocol : SAS
Media : HDD
It is the result of a command (
omreport storage pdisk controller=0) that gathers information about the disks status.
After a closer look I discovered that each item of the list is a byte object (
b'ID : 0:0:2') and needs to be transformed to a string type. Also, I wanted to make a nice block for each disk.
This did the trick:
for i in omreport:
disk_string += str(i, 'utf-8')
blocks = disk_string.split("\n\n")
Note the ‘utf-8’ encoding. More here.
blocks is a list of multi-line strings (real strings!) that can be processed with re.findall:
found1 = re.findall(r'^ID\s+\:\s(.*)\n', block, re.MULTILINE)
found2 = re.findall(r'^Status\s+\:\s(.*)\n', block, re.MULTILINE)
found3 = re.findall(r'^State\s+\:\s(\w+)\n', block, re.MULTILINE)
From here we can build a tuple formed by all the information needed and work with that.
found = (found1, found2, found3)
But the last bit is: how can we make sure that the tuple is not empty? How can we throw away something like this:
(, , ).
And here comes
all() to the rescue. More here.
This, again, did the trick: