Robert Schmidt
b012700fe4
The awk script in analyze-timing.sh used syntax that works with gawk but fails on systems where mawk is the default implementation, producing errors such as: awk: /dev/fd/3: line 6: syntax error at or near , -- test command finished with SIGPIPE Concretely, the match(text, pattern, variable) function does not exist in mawk, as it cannot capture matches in variables. Work around by substituing strings, and force a numeric comparison.
88 lines
3.0 KiB
Bash
Executable File
88 lines
3.0 KiB
Bash
Executable File
#!/bin/bash
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# This bash script builds an awk script. The awk script tries to match
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# (provided) patterns and compares them against given thresholds condition
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# (e.g., threshold is "< 10").
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function die() { echo $@ 1>&2; exit 1; }
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# RC will be the return code. If any rule fails, it will set RC=1, which will
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# make the script fail. Print also every line, because the logs are piped into
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# this script, but a user is typically also interested into the raw logs.
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SCRIPT='
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BEGIN { RC = 0; }
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{ print $0 }
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'
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NUM=0
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# for each pair of <pattern>/<condition>, add corresponding rules.
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while [ $# -gt 0 ]; do
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[ $# -ne 1 ] || die "unmatched <pattern>/<condition>"
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PATTERN=${1}
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COND=${2}
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shift 2
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# Add a rule that searches for a PATTERN + number, and checks against
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# CONDition. If the condition does not hold, it is counted as a failure (sets
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# RC to signal error). In both cases, the result is logged in an array to
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# output at the end of the script.
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#
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# To search for the number, first substr() returns what has been matched
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# (PATTERN + number), and sub() deletes PATTERN and whitespace, resulting in
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# the number (measurement). To force number into a numeric context, we add 0,
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# as awk would otherwise compare a string to a number (example:
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# gawk 'BEGIN { meas = "117"; if (meas > 96) { } else { print "fail";}}'
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# printfs "fail").
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#
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# Example: pattern "PHY proc tx", condition "< 200"
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# The awk script tries to match every line for "PHY proc tx _NUMBER_" (where
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# number is a decimal), and compares _NUMBER_ against condition "< 200",
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# i.e., "_NUMBER_ < 200".
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# If the condition holds, will set "CHECK PHY proc tx _NUMBER_ < 200 SUCCESS".
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# If the condition fails, will set "CHECK PHY proc tx _NUMBER_ < 200 FAIL".
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SCRIPT+='
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match($0, /'${PATTERN}' +([0-9]+(\.[0-9]+)?)/) {
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meas = substr($0, RSTART, RLENGTH);
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sub(/'${PATTERN}' +/, "", meas);
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if ((meas+0) '${COND}') {
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r = "SUCCESS";
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} else {
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r = "FAIL";
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RC = 1;
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}
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RESULTS['${NUM}']=sprintf("CHECK %-35s %7.2f %-8s %s", "'${PATTERN}'", meas, " '${COND}'", r);
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}
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'
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# Generate an additional rule for the end of the logs: if the pattern is not
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# found, it is counted as a failure and logged appropriately.
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# Following the above example "PHY proc tx" and "< 200": if such log is not
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# found, will set "CHECK PHY proc tx < 200 NOTFOUND"
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SCRIPT+='
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END {
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if (!RESULTS['${NUM}']) {
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RESULTS['${NUM}']=sprintf("CHECK %-35s %-7s NOTFOUND", "'${PATTERN}'", "'${COND}'");
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RC = 1;
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}
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}
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'
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let NUM=${NUM}+1
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done
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# After passing through all logs, print all results, and exit with return code
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# (0 on success, i.e..all conditions checked, otherwise 1 on failure).
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SCRIPT+='
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END {
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for (i = 0; i < '${NUM}'; ++i) {
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print RESULTS[i]
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}
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exit RC
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}
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'
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# Read from separate file descriptor 3: this allows us to pipe the actual log
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# to analyze into awk (by using the script like so: analyze-timing.sh < log)
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awk -f /dev/fd/3 3<<< ${SCRIPT}
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