def test_tags_limit_indirect(mock_post):
"""
Test for failure when too many tags are used indirectly (when combined with global tags)
"""
gtags_list = [
"gtk-%d:gtv-%d" % (i, i)
for i in range(apptuit_client.MAX_TAGS_LIMIT // 2 + 1)
]
global_tags = ",".join(gtags_list)
tags = {
'tagk-%d' % i: 'tagv-%d' % i
for i in range(apptuit_client.MAX_TAGS_LIMIT // 2 + 1)
}
timestamp = int(time.time())
with patch.dict(os.environ, {APPTUIT_PY_TAGS: global_tags}):
client = Apptuit(sanitize_mode=None, token="test_token")
point1 = DataPoint("metric1", {"tagk1": "tagv1"}, timestamp, 3.14)
point2 = DataPoint("metric1", tags, timestamp, 3.14)
with assert_raises(ValueError):
client.send([point1, point2])
with patch.dict(os.environ, {APPTUIT_PY_TAGS: global_tags}):
client = Apptuit(sanitize_mode=None, token="test_token")
series1 = TimeSeries('metric1', {"tagk1": "tagv1"})
series1.add_point(timestamp, 3.14)
series2 = TimeSeries('metric1', tags)
series2.add_point(timestamp, 3.14)
with assert_raises(ValueError):
client.send_timeseries([series1, series2])
def test_invalid_chars_in_tag_keys():
"""
Test for invalid character in tag keys
"""
metric_name = "node.load_avg.1m"
tags = {
"ho\\st": "localhost",
"region": "us-east-1",
"service": "web-server"
}
ts = int(time.time())
client = Apptuit(sanitize_mode=None, token="test")
with assert_raises(ValueError) as ex:
dp = DataPoint(metric=metric_name,
tags=tags,
timestamp=ts,
value=random.random())
client.send([dp])
with assert_raises(AttributeError) as ex:
dp = DataPoint(metric=metric_name,
tags="error",
timestamp=ts,
value=random.random())
client.send([dp])
dp = DataPoint(metric=metric_name,
tags=None,
timestamp=ts,
value=random.random())
assert_equals(dp.tags, None)
def test_tags_not_dict():
"""
Test to validate that only dict type values are expected for tags
"""
metric_name = "node.load_avg.1m"
tags = [
"host", "localhost", "region", "us-east-1", "service", "web-server"
]
ts = int(time.time())
client = Apptuit(sanitize_mode=None, token="test")
with assert_raises(AttributeError) as ex:
dp = DataPoint(metric=metric_name,
tags=tags,
timestamp=ts,
value=random.random())
client.send([dp])
def test_invalid_metric_name():
"""
Test for invalid character in metric name
"""
metric_name = "node.load+avg.1m"
tags = {
"host": "localhost",
"region": "us-east-1",
"service": "web-server"
}
ts = int(time.time())
client = Apptuit(sanitize_mode=None, token="test")
with assert_raises(ValueError) as ex:
dp = DataPoint(metric=metric_name,
tags=tags,
timestamp=ts,
value=random.random())
client.send([dp])
def test_tags_limit_direct(mock_post):
"""
Test for failure when too many tags are used for datapoints/series
"""
tags = {
'tagk-%d' % i: 'tagv-%d' % i
for i in range(apptuit_client.MAX_TAGS_LIMIT + 1)
}
timestamp = int(time.time())
client = Apptuit(sanitize_mode=None, token="test_token")
point1 = DataPoint("metric1", {"tagk1": "tagv1"}, timestamp, 3.14)
point2 = DataPoint("metric1", tags, timestamp, 3.14)
with assert_raises(ValueError):
client.send([point1, point2])
series1 = TimeSeries('metric1', {"tagk1": "tagv1"})
series1.add_point(timestamp, 3.14)
series2 = TimeSeries('metric1', tags)
series2.add_point(timestamp, 3.14)
with assert_raises(ValueError):
client.send_timeseries([series1, series2])