Improved timestamp parsing
Use dateutil to accept be more flexible in parsing timestamps. A recent upgrade to ElasticSearch changed the timestamp format to use '+00:00' to note the timezone instead of 'Z' Co-Authored-By: Joe Gordon <joe.gordon0@gmail.com> Change-Id: I11f441ba3bf7ba46c55921352fcc87eb5d1ce3ae
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@ -19,8 +19,8 @@ import collections
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import datetime
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import operator
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import re
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import time
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import dateutil.parser as dp
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import jinja2
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import elastic_recheck.elasticRecheck as er
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@ -68,15 +68,7 @@ def all_fails(classifier):
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# gate. Would be nice if there was a zuul attr for this in es.
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if re.search("(^openstack/|devstack|grenade)", result.project):
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name = result.build_name
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if "+00:00" in result.timestamp:
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# Newer ES adds timezone into the timestamp, and it will
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# always be +00:00
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timestamp = time.strptime(result.timestamp,
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"%Y-%m-%dT%H:%M:%S.%f+00:00")
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else:
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timestamp = time.strptime(result.timestamp,
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"%Y-%m-%dT%H:%M:%S.%fZ")
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timestamp = dp.parse(result.timestamp)
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log = result.log_url.split("console.html")[0]
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all_fails["%s.%s" % (build, name)] = {
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'log': log,
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@ -129,9 +121,8 @@ def classifying_rate(fails, data, engine):
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key=lambda v: v['timestamp'], reverse=True)
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# Convert timestamp into string
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for url in bad_job_urls[job]:
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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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url['timestamp'] = url['timestamp'].strftime(
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"%Y-%m-%dT%H:%M")
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classifying_rate = collections.defaultdict(int)
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classifying_rate['overall'] = "%.1f" % (
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@ -14,12 +14,14 @@
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"""Elastic search wrapper to make handling results easier."""
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import calendar
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import copy
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import datetime
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import pprint
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import time
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import dateutil.parser as dp
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import pyelasticsearch
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import pytz
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pp = pprint.PrettyPrinter()
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@ -109,19 +111,14 @@ class FacetSet(dict):
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def _histogram(self, data, facet, res=3600):
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"""A preprocessor for data should we want to bucket it."""
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if facet == "timestamp":
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if "+00:00" in data:
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ts = datetime.datetime.strptime(data,
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"%Y-%m-%dT%H:%M:%S.%f+00:00")
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else:
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ts = datetime.datetime.strptime(data, "%Y-%m-%dT%H:%M:%S.%fZ")
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tsepoch = int(time.mktime(ts.timetuple()))
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ts = dp.parse(data)
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tsepoch = int(calendar.timegm(ts.timetuple()))
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# take the floor based on resolution
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ts -= datetime.timedelta(
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seconds=(tsepoch % res),
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microseconds=ts.microsecond)
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# ms since epoch
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epoch = datetime.datetime.utcfromtimestamp(0)
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epoch = datetime.datetime.fromtimestamp(0, pytz.UTC)
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pos = int(((ts - epoch).total_seconds()) * 1000)
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return pos
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else:
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@ -1,3 +1,5 @@
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python-dateutil>=2.0
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pytz
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pyelasticsearch
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gerritlib
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python-daemon
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