1 files changed, 50 insertions, 0 deletions
diff --git a/postprocessing.py b/postprocessing.py
new file mode 100755
index 0000000..d82e2bf
--- /dev/null
+++ b/postprocessing.py
@@ -0,0 +1,50 @@
+#!/usr/bin/env python
+import sqlite3
+from numpy import array, mean
+from optparse import OptionParser
+
+SQLITE_DB_GLOBAL_PATH = "/root/db_results/"
+
+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 metric = ? AND spec_id = ?;"""
+
+metrics_common = ['execution_time', 'arm,vexpress-energy A7 Jcore', 'arm,vexpress-energy A15 Jcore']
+metrics_bbench = ['Performance']
+
+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()
+    for mode_row in modes_cursor.execute(modes_prepares_statement):
+        if 'bbench' in mode_row[0]:
+            metrics_common = metrics_common + metrics_bbench
+        for metric in metrics_common:
+            params = (metric, mode_row[0])
+            metric_values = []
+            metric_cursor = conn.cursor()
+            units = ""
+            for metric_row in metric_cursor.execute(metric_prepared_statement, params):
+                metric_values.append(float(metric_row[2]))
+                units = metric_row[3]
+            print "%s_%s Measurement:%s Units:%s Result:pass" % (
+                mode_row[0], 
+                metric.replace(" ", "_").replace(",", "_"), 
+                mean(array(metric_values)), 
+                units)
+            metric_cursor.close()
+    modes_cursor.close()
+    conn.close()