38bb2c6831
Change-Id: If7ea670195e55d306c4b0733bfcd3c8c6040eddc
37 lines
1.3 KiB
Python
Executable file
37 lines
1.3 KiB
Python
Executable file
#!/usr/bin/python
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# A script to search our test logs and sort the messages by how common they are so we can start to
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# reduce the noise a little.
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import sys
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import re
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import io
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import subprocess
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# find . -name '*.log' | xargs grep -h 'warn:' | sort | uniq -c | sort -n --field-separator=: --key=5,6
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process = subprocess.Popen("find workdir -name '*.log' | xargs grep -h 'warn:' | sort",
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shell=True, stdout=subprocess.PIPE, universal_newlines=True)
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messages = dict() # dict of sourceAndLine->count
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sampleOfMessage = dict() # dict of sourceAndLine->string
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for line in process.stdout:
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line = line.strip()
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# a sample line is:
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# warn:sw:18790:1:sw/source/core/doc/DocumentRedlineManager.cxx:98: redline table corrupted: overlapping redlines
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tokens = line.split(":")
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sourceAndLine = tokens[4] + ":" + tokens[5]
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if (sourceAndLine in messages):
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messages[sourceAndLine] = messages[sourceAndLine] + 1
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else:
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messages[sourceAndLine] = 1
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sampleOfMessage[sourceAndLine] = line[line.find(tokens[6]):]
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tmplist = list() # set of tuple (count, sourceAndLine)
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for key, value in messages.iteritems():
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tmplist.append([value,key])
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for i in sorted(tmplist, key=lambda v: v[0]):
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print( "%6d %s %s" % (i[0], i[1], sampleOfMessage[i[1]]) )
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