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stats: Dump a JSON file next to the pickle file.
Extremely useful for interoperating with non-Python (e.g. Monte) tooling.
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@ -310,13 +310,14 @@ given port. The portnum file is actually a "strports specification string",
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as described in :doc:`configuration`.
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Once running, the stats gatherer will create a standard python "pickle" file
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in $BASEDIR/stats.pickle . Once a minute, the gatherer will pull stats
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in ``$BASEDIR/stats.pickle``, and a standard JSON file in
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``$BASEDIR/stats.json``. Once a minute, the gatherer will pull stats
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information from every connected node and write them into the pickle. The
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pickle will contain a dictionary, in which node identifiers (known as "tubid"
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strings) are the keys, and the values are a dict with 'timestamp',
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'nickname', and 'stats' keys. d[tubid][stats] will contain the stats
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dictionary as made available at http://localhost:3456/statistics?t=json . The
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pickle file will only contain the most recent update from each node.
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strings) are the keys, and the values are a dict with 'timestamp', 'nickname',
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and 'stats' keys. d[tubid][stats] will contain the stats dictionary as made
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available at http://localhost:3456/statistics?t=json . The pickle file will
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only contain the most recent update from each node.
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Other tools can be built to examine these stats and render them into
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something useful. For example, a tool could sum the
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@ -1,4 +1,5 @@
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import json
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import os
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import pickle
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import pprint
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@ -247,6 +248,7 @@ class PickleStatsGatherer(StdOutStatsGatherer):
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self.verbose = verbose
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StatsGatherer.__init__(self, basedir)
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self.picklefile = os.path.join(basedir, "stats.pickle")
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self.jsonfile = os.path.join(basedir, "stats.json")
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if os.path.exists(self.picklefile):
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f = open(self.picklefile, 'rb')
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@ -267,6 +269,7 @@ class PickleStatsGatherer(StdOutStatsGatherer):
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s['nickname'] = nickname
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s['stats'] = stats
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self.dump_pickle()
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self.dump_json()
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def dump_pickle(self):
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tmp = "%s.tmp" % (self.picklefile,)
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@ -277,6 +280,16 @@ class PickleStatsGatherer(StdOutStatsGatherer):
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os.unlink(self.picklefile)
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os.rename(tmp, self.picklefile)
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def dump_json(self):
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# Same logic as pickle, but using JSON instead.
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tmp = "%s.tmp" % (self.jsonfile,)
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f = open(tmp, 'wb')
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json.dump(self.gathered_stats, f)
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f.close()
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if os.path.exists(self.jsonfile):
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os.unlink(self.jsonfile)
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os.rename(tmp, self.jsonfile)
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class StatsGathererService(service.MultiService):
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furl_file = "stats_gatherer.furl"
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