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#!/usr/bin/env python
#
# Workload Automation v2 for LAVA
#
# Copyright (C) 2014, Linaro Limited.
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# Author: Milosz Wasilewski <milosz.wasilewski@linaro.org>
#
import sqlite3
from copy import deepcopy
from numpy import array, mean
from optparse import OptionParser
SQLITE_DB_GLOBAL_PATH = "/root/db_results/"
VALUE = 'value'
UNIT = 'unit'
modes_prepares_statement = "select distinct(id) from workload_specs;"
metric_prepared_statement = """
SELECT label as workload, metric, value, units, wsr.spec_id
FROM metrics AS m INNER JOIN (
SELECT ws.OID as spec_oid, ws.id as spec_id, uuid, label
FROM workload_specs AS ws INNER JOIN runs AS r ON ws.run_oid = r.OID
) AS wsr ON wsr.spec_oid = m.spec_oid
WHERE spec_id = ?;"""
if __name__ == '__main__':
usage = "usage: %prog [OPTIONS]"
parser = OptionParser(usage=usage)
parser.add_option("-n", "--job-name", dest="job_name",
help="Job name to be used as db name in agenda file")
(options, args) = parser.parse_args()
if not options.job_name:
parser.error("Job name missing")
conn = sqlite3.connect(SQLITE_DB_GLOBAL_PATH + options.job_name + ".db")
modes_cursor = conn.cursor()
metrics = {}
for mode_row in modes_cursor.execute(modes_prepares_statement):
metric_cursor = conn.cursor()
metrics[mode_row[0]] = {}
for metric_row in metric_cursor.execute(
metric_prepared_statement,
(mode_row[0], )):
print metric_row
if metric_row[1] in metrics[mode_row[0]]:
metrics[mode_row[0]][metric_row[1]][VALUE].append(
float(metric_row[2]))
else:
metrics[mode_row[0]][metric_row[1]] = {
VALUE: [float(metric_row[2])],
UNIT: metric_row[3]}
metric_cursor.close()
modes_cursor.close()
conn.close()
for key in metrics.iterkeys():
for metric in metrics[key].iterkeys():
print "%s_%s Measurement:%s Units:%s Result:pass" % (
key,
metric.replace(" ", "_").replace(",", "_"),
mean(array(metrics[key][metric][VALUE])),
metrics[key][metric][UNIT])
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