Bash script that analyzes report files - bash

Question

I have the following bash script which I will use to analyze all report files in the current directory:
#!/bin/bash
# methods
analyzeStructuralErrors()
{
# do something with $1
}
# main
reportFiles=`find $PWD -name "*_report*.txt"`;
for f in $reportFiles
do
echo "Processing $f"
analyzeStructuralErrors $f
done
My report files are formatted as such:
Error Code for Issue X - Description Text - Number of errors.
col1_name,col2_name,col3_name,col4_name,col5_name,col6_name
1143-1-1411-247-1-72953-1
1143-2-1411-247-436-72953-1
2211-1-1888-204-442-22222-1
Error Code for Issue Y - Description Text - Number of errors.
col1_name,col2_name,col3_name,col4_name,col5_name,col6_name
Other data
.
.
.
I'm looking for a way to go through each file and aggregate the report data. In the above example, we have two unique issues of type X, which I would like to handle in analyzeStructural. Other types of issues can be ignored in this routine. Can anyone offer advice on how to do this? I want to read each line until I hit the next error basically, and put that data into some kind of data structure.

Answer 1

Below is a working awk implementation that uses it's pseudo multidimensional arrays. I've included sample output to show you how it looks. I took the liberty to add a 'Count' column to denote how many times a certain "Issue" was hit for a given Error Code
#!/bin/bash
awk '
/Error Code for Issue/ {
errCode[currCode=$5]=$5
}
/^ +[0-9-]+$/ {
split($0, tmpArr, "-")
error[errCode[currCode],tmpArr[1]]++
}
END {
for (code in errCode) {
printf("Error Code: %s\n", code)
for (item in error) {
split(item, subscr, SUBSEP)
if (subscr[1] == code) {
printf("\tIssue: %s\tCount: %s\n", subscr[2], error[item])
}
}
}
}
' *_report*.txt
Output
$ ./report.awk
Error Code: B
Issue: 1212 Count: 3
Error Code: X
Issue: 2211 Count: 1
Issue: 1143 Count: 2
Error Code: Y
Issue: 2961 Count: 1
Issue: 6666 Count: 1
Issue: 5555 Count: 2
Issue: 5911 Count: 1
Issue: 4949 Count: 1
Error Code: Z
Issue: 2222 Count: 1
Issue: 1111 Count: 1
Issue: 2323 Count: 2
Issue: 3333 Count: 1
Issue: 1212 Count: 1

Answer 2

As suggested by Dave Jarvis, awk will:
handle this better than bash
is fairly easy to learn
likely available wherever bash is available
I've never had to look farther than The AWK Manual.
It would make things easier if you used a consistent field separator for both the list of column names and the data. Perhaps you could do some pre-processing in a bash script using sed before feeding to awk. Anyway, take a look at multi-dimensional arrays and reading multiple lines in the manual.

Answer 3

Bash has one-dimensional arrays that are indexed by integers. Bash 4 adds associative arrays. That's it for data structures. AWK has one dimensional associative arrays and fakes its way through two dimensional arrays. If you need some kind of data structure more advanced than that, you'll need to use Python, for example, or some other language.
That said, here's a rough outline of how you might parse the data you've shown.
#!/bin/bash
# methods
analyzeStructuralErrors()
{
local f=$1
local Xpat="Error Code for Issue X"
local notXpat="Error Code for Issue [^X]"
while read -r line
do
if [[ $line =~ $Xpat ]]
then
flag=true
elif [[ $line =~ $notXpat ]]
then
flag=false
elif $flag && [[ $line =~ , ]]
then
# columns could be overwritten if there are more than one X section
IFS=, read -ra columns <<< "$line"
elif $flag && [[ $line =~ - ]]
then
issues+=(line)
else
echo "unrecognized data line"
echo "$line"
fi
done
for issue in ${issues[#]}
do
IFS=- read -ra array <<< "$line"
# do something with ${array[0]}, ${array[1]}, etc.
# or iterate
for field in ${array[#]}
do
# do something with $field
done
done
}
# main
find . -name "*_report*.txt" | while read -r f
do
echo "Processing $f"
analyzeStructuralErrors "$f"
done