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generate-activity-metrics: Add support for specifying realm.

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(imported from commit 09e2adb6ae8d9fb0a140fbbe9a0f1272e2aa81a7)
This commit is contained in:
Tim Abbott
2013-05-29 16:54:13 -04:00
parent 6425a894f5
commit 5f86ed92f3
1 changed files with 15 additions and 12 deletions
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27
tools/generate-activity-metrics.py
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@@ -10,16 +10,9 @@ import optparse
from itertools import dropwhile, takewhile from itertools import dropwhile, takewhile
from datetime import timedelta, datetime from datetime import timedelta, datetime
from zephyr.lib.timestamp import datetime_to_timestamp from zephyr.lib.timestamp import datetime_to_timestamp
from zephyr.lib.utils import statsd_key
import requests import requests
# This is the slightly-cleaned up JSON api version of https://graphiti.humbughq.com/graphs/945c7aafc2d
#
# Fetches 1 month worth of data
DATA_URL="https://graphite.humbughq.com/render/?from=-28d&target=stats.gauges.staging.users.active.all.12hr&\
target=stats.gauges.staging.users.active.all.168hr&target=stats.gauges.staging.users.active.all.24hr&\
target=stats.gauges.staging.users.active.all.2hr&target=stats.gauges.staging.users.active.all.48hr&\
target=stats.gauges.staging.users.active.all.0_16hr&format=json"
# Workaround to support the Python-requests 1.0 transition of .json # Workaround to support the Python-requests 1.0 transition of .json
# from a property to a function # from a property to a function
requests_json_is_function = callable(requests.Response.json) requests_json_is_function = callable(requests.Response.json)
@@ -67,9 +60,7 @@ def percent_diff(prev, cur):
def parse_data(data, today): def parse_data(data, today):
for metric in data: for metric in data:
# print "Got %s with data points %s" % (metric['target'], len(metric['datapoints'])) # print "Got %s with data points %s" % (metric['target'], len(metric['datapoints']))
if metric['target'] in ('stats.gauges.staging.users.active.all.2hr', if metric['target'] in statsd_targets:
'stats.gauges.staging.users.active.all.0_16hr',
'stats.gauges.staging.users.active.all.12hr'):
# Calculate % between peak 2hr and 10min across each day and week # Calculate % between peak 2hr and 10min across each day and week
metric['datapoints'].sort(key=lambda p: p[1]) metric['datapoints'].sort(key=lambda p: p[1])
@@ -111,7 +102,9 @@ parser.add_option('--start-from',
help='What day to consider as \'today\' when calculating stats as a Unix timestamp', help='What day to consider as \'today\' when calculating stats as a Unix timestamp',
metavar='STARTDATE', metavar='STARTDATE',
default='today') default='today')
parser.add_option('--realm',
help='Which realm to query',
default='all')
if __name__ == '__main__': if __name__ == '__main__':
(options, args) = parser.parse_args() (options, args) = parser.parse_args()
@@ -124,6 +117,16 @@ if __name__ == '__main__':
startfrom = noon_of(day=datetime.fromtimestamp(int(options.start_from))) startfrom = noon_of(day=datetime.fromtimestamp(int(options.start_from)))
print "Using baseline of today as %s" % (startfrom,) print "Using baseline of today as %s" % (startfrom,)
realm_key = statsd_key(options.realm, True)
buckets = ["12hr", "2hr", "0_16hr"]
# This is the slightly-cleaned up JSON api version of https://graphiti.humbughq.com/graphs/945c7aafc2d
#
# Fetches 1 month worth of data
DATA_URL="https://graphite.humbughq.com/render/?from=-28d&format=json"
statsd_targets = ["stats.gauges.staging.users.active.%s.%s" % (realm_key, bucket) for bucket in buckets]
for target in statsd_targets:
DATA_URL += "&target=%s" % (target,)
data = get_data(DATA_URL, options.user, options.password) data = get_data(DATA_URL, options.user, options.password)