Add per job classification rate to uncategorized.html
Show how well we are doing at classifying individual jobs Change-Id: I14fda6e5f8eff45777ef64757cee796cf8330d08
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@ -102,13 +102,15 @@ def classifying_rate(fails, data, engine):
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total = len(found_fails.keys())
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bad_jobs = collections.defaultdict(int)
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total_job_failures = collections.defaultdict(int)
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bad_job_urls = collections.defaultdict(list)
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count = 0
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for f in fails:
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build, job = f.split('.', 1)
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total_job_failures[job] += 1
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if found_fails[f] is True:
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count += 1
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else:
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build, job = f.split('.', 1)
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bad_jobs[job] += 1
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bad_job_urls[job].append(fails[f])
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@ -121,7 +123,17 @@ def classifying_rate(fails, data, engine):
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url['timestamp'] = time.strftime(
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"%Y-%m-%dT%H:%M",
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url['timestamp'])
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classifying_rate = ((float(count) / float(total)) * 100.0)
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classifying_rate = collections.defaultdict(int)
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classifying_rate['overall'] = ((float(count) / float(total)) * 100.0)
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for job in bad_jobs:
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if bad_jobs[job] == 0 and total_job_failures[job] == 0:
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classifying_rate[job] = 0
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else:
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classifying_rate[job] = (
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100.0 -
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(float(bad_jobs[job]) / float(total_job_failures[job]))
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* 100.0)
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sort = sorted(
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bad_jobs.iteritems(),
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key=operator.itemgetter(1),
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@ -130,6 +142,7 @@ def classifying_rate(fails, data, engine):
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tvars = {
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"rate": classifying_rate,
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"jobs": sort,
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"total_job_failures": total_job_failures,
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"urls": bad_job_urls
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}
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return engine.render(tvars)
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@ -16,13 +16,13 @@
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</div>
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<div class="jobs">
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<h1>Unclassified failed jobs</h1>
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Overall Categorization Rate: {{ rate }}
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Overall Categorization Rate: {{ rate['overall'] }}%
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{% for job in jobs %}
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<a name="{{job[0]}}"></a>
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<a href="#top"><i>back to top</i></a>
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<h2>{{ job[0] }} : {{ job[1] }} Uncategorized Fails</h2>
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<h2>{{ job[0] }} : {{ job[1] }} Uncategorized Fails. {{rate[job[0]]}}% Classification Rate ({{total_job_failures[job[0]]}} Total Fails)</h2>
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<ul>
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{% for url in urls[job[0]] %}
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