Use precomputed sampleid.
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8171c92d8a
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dde7a8fe4b
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@ -5,8 +5,6 @@
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# License, v. 2.0. If a copy of the MPL was not distributed with this
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# file, You can obtain one at http://mozilla.org/MPL/2.0/.
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import binascii
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from moztelemetry.spark import get_pings
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from moztelemetry.histogram import cached_exponential_buckets
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from collections import defaultdict
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@ -45,16 +43,16 @@ def _map_build_id_key_to_submission_date_key(aggregate):
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def _sample_clients(ping):
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client_id = ping.get("clientId", None)
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sample_id = ping.get("meta", {}).get("sampleId", None)
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if not client_id:
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if type(sample_id) not in (int, float, long):
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return False
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# Check if telemetry is enabled
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if not ping.get("environment", {}).get("settings", {}).get("telemetryEnabled", False):
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return False
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channel = ping["application"]["channel"]
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channel = ping.get("application", {}).get("channel", None)
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percentage = {"nightly": 100,
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"aurora": 100,
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"beta": 100,
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@ -64,7 +62,7 @@ def _sample_clients(ping):
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return False
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# Use meta/sampleid once Heka spits it out correctly
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return client_id and ((binascii.crc32(client_id) % 100) < percentage[channel])
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return sample_id < percentage[channel]
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def _extract_histograms(state, payload, is_child=False):
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2
setup.py
2
setup.py
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@ -8,7 +8,7 @@
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from setuptools import setup
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setup(name='python_mozaggregator',
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version='0.2.2.9',
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version='0.2.3.0',
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author='Roberto Agostino Vitillo',
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author_email='rvitillo@mozilla.com',
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description='Telemetry aggregation job',
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@ -88,7 +88,8 @@ def generate_pings():
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def generate_payload(dimensions):
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meta = {u"submissionDate": dimensions["submission_date"]}
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meta = {u"submissionDate": dimensions["submission_date"],
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u"sampleId": 42}
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application = {u"channel": dimensions["channel"],
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u"version": dimensions["version"],
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u"buildId": dimensions["build_id"],
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