def test_push(self):
d1 = {
'host': 'test_host',
'plugin': 'plugin',
}
d2 = {
'host': 'test_host',
'plugin': 'plugin2',
}
dmg = dmgr.dm()
dmg.push(d1)
self.assertEqual(
dmg.ent_map,
{d1['host']: [d1]},
)
self._reset_dm()
dmg = dmgr.dm()
dmg.push([d1, d2])
self.assertEqual(
dmg.ent_map,
{d1['host']: [d1, d2]},
)
def test_priv_get_comp_metrics(self):
dmg = dmgr.dm()
agg_dtups = {
'a': self._test_dtups['d1'],
'b': self._test_dtups['d2'],
}
ret = dmg._get_comp_metrics(agg_dtups)
expected = {
'a.sumb': 3.1,
'b.avg': 4.25,
'b.p50': 3.5,
'b.p90': 7.5,
'b.p95': 8.25,
'b.p99': 8.85,
}
self.assertListEqual(
list(ret.keys()),
list(expected.keys()),
)
for k, v in ret.items():
self.assertAlmostEqual(v, expected[k])
self._reset_dm()
def test_priv_comp_avg(self):
dmg = dmgr.dm()
ret = dmg._comp_avg(self._test_dtups['d1'])
self.assertAlmostEqual(ret, 2.8667, 4)
ret = dmg._comp_avg(self._test_dtups['d2'])
self.assertAlmostEqual(ret, 4.25)
self._reset_dm()
def test_priv_comp_sum(self):
dmg = dmgr.dm()
ret = dmg._comp_sum(self._test_dtups['d1'])
self.assertAlmostEqual(ret, 8.6)
ret = dmg._comp_sum(self._test_dtups['d2'])
self.assertEqual(ret, 17)
self._reset_dm()
def test_priv_comp_pct(self):
dmg = dmgr.dm()
for perc, val in ((50, 3.3), (90, 4.02), (95, 4.11), (99, 4.182)):
ret = dmg._comp_pct(self._test_dtups['d1'], perc)
self.assertAlmostEqual(ret, val)
for perc, val in ((50, 3.5), (90, 7.5), (95, 8.25), (99, 8.85)):
ret = dmg._comp_pct(self._test_dtups['d2'], perc)
self.assertAlmostEqual(ret, val)
self._reset_dm()
def main():
args = get_args()
setup_logging(args)
config = GDConfig()
config.read(args.config)
# Initialize everything with the config
dmgr = dm(config)
db = DB(config)
timer = InsTimer(dmgr, db)
timer.start()
flask_init(config, dmgr)
APP.run()
timer.stop()
timer.join(3.0)
return 0
def test_priv_get_metrics(self):
d1 = {
"values": [605339, 247494],
"dstypes": ["derive", "derive"],
"dsnames": ["rx", "tx"],
"plugin": "interface",
"plugin_instance": "enp0s3",
"type": "if_packets",
"type_instance": ""
}
d2 = {
"values": [482],
"dstypes": ["derive"],
"dsnames": ["value"],
"plugin": "cpu",
"plugin_instance": "4",
"type": "cpu",
"type_instance": "wait"
}
d3 = {
"values": [51167232],
"dstypes": ["gauge"],
"dsnames": ["value"],
"plugin": "df",
"plugin_instance": "boot",
"type": "df_complex",
"type_instance": "reserved"
}
dmg = dmgr.dm()
ret = dmg._get_metrics(d1)
self.assertEqual(
ret,
[
dmgr.DataTup('interface.enp0s3.if_packets.rx', 'derive',
605339),
dmgr.DataTup('interface.enp0s3.if_packets.tx', 'derive',
247494),
],
)
self._reset_dm()
dmg = dmgr.dm()
ret = dmg._get_metrics(d2)
self.assertEqual(
ret,
[
dmgr.DataTup('cpu.4.wait', 'derive', 482),
],
)
self._reset_dm()
dmg = dmgr.dm()
ret = dmg._get_metrics(d3)
self.assertEqual(
ret,
[
dmgr.DataTup('df.boot.df_complex.reserved', 'gauge', 51167232),
],
)
self._reset_dm()
def _reset_dm(self):
dmgr.DM = None
dmgr.dm(self.config)
