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import pytz
from datetime import datetime
from mock import mock, patch
import sys
from .base import TestCase
from django.conf import settings
from graphite.render.datalib import TimeSeries, fetchData, _merge_results, prefetchData
from graphite.util import timebounds
from six.moves import range
class TimeSeriesTest(TestCase):
def test_TimeSeries_init_no_args(self):
if sys.version_info[0] >= 3:
msg = r'__init__\(\) missing 5 required positional arguments'
else:
msg = r'__init__\(\) takes at least 6 arguments \(1 given\)'
with self.assertRaisesRegex(TypeError, msg):
TimeSeries()
def test_TimeSeries_init_string_values(self):
series = TimeSeries("collectd.test-db.load.value", 0, 2, 1, "ab")
expected = TimeSeries("collectd.test-db.load.value", 0, 2, 1, ["a","b"])
self.assertEqual(series, expected)
def test_TimeSeries_init_tag_parse(self):
series = TimeSeries("collectd.test-db.load.value;tag=value", 0, 2, 1, [1, 2])
self.assertEqual(series.tags, {'name': 'collectd.test-db.load.value', 'tag': 'value'})
def test_TimeSeries_init_tag_parse_fail(self):
series = TimeSeries("collectd.test-db.load.value;", 0, 2, 1, [1, 2])
self.assertEqual(series.tags, {'name': 'collectd.test-db.load.value;'})
def test_TimeSeries_equal_list(self):
values = list(range(0,100))
series = TimeSeries("collectd.test-db.load.value", 0, len(values), 1, values)
with self.assertRaises(AssertionError):
self.assertEqual(values, series)
def test_TimeSeries_equal_list_color(self):
values = list(range(0,100))
series1 = TimeSeries("collectd.test-db.load.value", 0, len(values), 1, values)
series1.color = 'white'
series2 = TimeSeries("collectd.test-db.load.value", 0, len(values), 1, values)
series2.color = 'white'
self.assertEqual(series1, series2)
def test_TimeSeries_equal_list_color_bad(self):
values = list(range(0,100))
series1 = TimeSeries("collectd.test-db.load.value", 0, len(values), 1, values)
series2 = TimeSeries("collectd.test-db.load.value", 0, len(values), 1, values)
series2.color = 'white'
with self.assertRaises(AssertionError):
self.assertEqual(series1, series2)
def test_TimeSeries_equal_list_color_bad2(self):
values = list(range(0,100))
series1 = TimeSeries("collectd.test-db.load.value", 0, len(values), 1, values)
series2 = TimeSeries("collectd.test-db.load.value", 0, len(values), 1, values)
series1.color = 'white'
with self.assertRaises(AssertionError):
self.assertEqual(series1, series2)
def test_TimeSeries_getInfo(self):
values = list(range(0,100))
series = TimeSeries("collectd.test-db.load.value", 0, len(values), 1, values)
self.assertEqual(series.getInfo(), {
'name': 'collectd.test-db.load.value',
'values': values,
'start': 0,
'step': 1,
'end': len(values),
'pathExpression': 'collectd.test-db.load.value',
'valuesPerPoint': 1,
'consolidationFunc': 'average',
'xFilesFactor': 0,
})
def test_TimeSeries_consolidate(self):
values = list(range(0,100))
series = TimeSeries("collectd.test-db.load.value", 0, len(values)/2, 1, values)
self.assertEqual(series.valuesPerPoint, 1)
series.consolidate(2)
self.assertEqual(series.valuesPerPoint, 2)
def test_TimeSeries_iterate(self):
values = list(range(0,100))
series = TimeSeries("collectd.test-db.load.value", 0, len(values), 1, values)
for i, val in enumerate(series):
self.assertEqual(val, values[i])
def test_TimeSeries_iterate_valuesPerPoint_2_none_values(self):
values = [None, None, None, None, None]
series = TimeSeries("collectd.test-db.load.value", 0, len(values)/2, 1, values)
self.assertEqual(series.valuesPerPoint, 1)
series.consolidate(2)
self.assertEqual(series.valuesPerPoint, 2)
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1, [None, None, None])
values = [None, None, None, None, None, 1, 2, 3, 4]
series = TimeSeries("collectd.test-db.load.value", 0, len(values)/2, 1, values, xFilesFactor=0.1)
self.assertEqual(series.valuesPerPoint, 1)
self.assertEqual(series.xFilesFactor, 0.1)
series.consolidate(2)
self.assertEqual(series.valuesPerPoint, 2)
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1, [None, None, 1, 2.5, 4])
self.assertEqual(list(series), list(expected))
series.xFilesFactor = 0.5
self.assertEqual(list(series), list(expected))
series.xFilesFactor = 0.500001
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1, [None, None, None, 2.5, None])
self.assertEqual(list(series), list(expected))
series.xFilesFactor = 1
self.assertEqual(list(series), list(expected))
def test_TimeSeries_iterate_valuesPerPoint_2_average(self):
values = list(range(0,100))
series = TimeSeries("collectd.test-db.load.value", 0, len(values)/2, 1, values)
self.assertEqual(series.valuesPerPoint, 1)
series.consolidate(2)
self.assertEqual(series.valuesPerPoint, 2)
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1, [0.5, 2.5, 4.5, 6.5, 8.5, 10.5, 12.5, 14.5, 16.5, 18.5, 20.5, 22.5, 24.5, 26.5, 28.5, 30.5, 32.5, 34.5, 36.5, 38.5, 40.5, 42.5, 44.5, 46.5, 48.5, 50.5, 52.5, 54.5, 56.5, 58.5, 60.5, 62.5, 64.5, 66.5, 68.5, 70.5, 72.5, 74.5, 76.5, 78.5, 80.5, 82.5, 84.5, 86.5, 88.5, 90.5, 92.5, 94.5, 96.5, 98.5])
self.assertEqual(list(series), list(expected))
series.consolidate(3)
self.assertEqual(series.valuesPerPoint, 3)
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1, map(float, list(range(1, 100, 3)) + [99]))
self.assertEqual(list(series), list(expected))
def test_TimeSeries_iterate_valuesPerPoint_2_sum(self):
values = list(range(0,100))
series = TimeSeries("collectd.test-db.load.value", 0, 5, 1, values, consolidate='sum')
self.assertEqual(series.valuesPerPoint, 1)
series.consolidate(2)
self.assertEqual(series.valuesPerPoint, 2)
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1, list(range(1,200,4)))
self.assertEqual(list(series), list(expected))
series.consolidate(3)
self.assertEqual(series.valuesPerPoint, 3)
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1, list(range(3,300,9)) + [99])
self.assertEqual(list(series), list(expected))
series.xFilesFactor = 0.4
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1, list(range(3,300,9)) + [None])
self.assertEqual(list(series), list(expected))
def test_TimeSeries_iterate_valuesPerPoint_2_max(self):
values = list(range(0,100))
series = TimeSeries("collectd.test-db.load.value", 0, 5, 1, values, consolidate='max')
self.assertEqual(series.valuesPerPoint, 1)
series.consolidate(2)
self.assertEqual(series.valuesPerPoint, 2)
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1, list(range(1,100,2)))
self.assertEqual(list(series), list(expected))
series.consolidate(3)
self.assertEqual(series.valuesPerPoint, 3)
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1, list(range(2,100,3)) + [99])
self.assertEqual(list(series), list(expected))
def test_TimeSeries_iterate_valuesPerPoint_2_min(self):
values = list(range(0,100))
series = TimeSeries("collectd.test-db.load.value", 0, 5, 1, values, consolidate='min')
self.assertEqual(series.valuesPerPoint, 1)
series.consolidate(2)
self.assertEqual(series.valuesPerPoint, 2)
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1, list(range(0,100,2)))
self.assertEqual(list(series), list(expected))
series.consolidate(3)
self.assertEqual(series.valuesPerPoint, 3)
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1, list(range(0,100,3)))
self.assertEqual(list(series), list(expected))
def test_TimeSeries_iterate_valuesPerPoint_2_first(self):
values = list(range(0,100))
series = TimeSeries("collectd.test-db.load.value", 0, 5, 1, values, consolidate='first')
self.assertEqual(series.valuesPerPoint, 1)
series.consolidate(2)
self.assertEqual(series.valuesPerPoint, 2)
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1, list(range(0,100,2)))
self.assertEqual(list(series), list(expected))
series.consolidate(3)
self.assertEqual(series.valuesPerPoint, 3)
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1, list(range(0,100,3)))
self.assertEqual(list(series), list(expected))
def test_TimeSeries_iterate_valuesPerPoint_2_last(self):
values = list(range(0,100))
series = TimeSeries("collectd.test-db.load.value", 0, 5, 1, values, consolidate='last')
self.assertEqual(series.valuesPerPoint, 1)
series.consolidate(2)
self.assertEqual(series.valuesPerPoint, 2)
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1, list(range(1,100,2)))
self.assertEqual(list(series), list(expected))
series.consolidate(3)
self.assertEqual(series.valuesPerPoint, 3)
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1, list(range(2,100,3)) + [99])
self.assertEqual(list(series), list(expected))
# avg is an alias for average
def test_TimeSeries_iterate_valuesPerPoint_2_avg_alias(self):
values = list(range(0,100))
series = TimeSeries("collectd.test-db.load.value", 0, len(values)/2, 1, values, consolidate='avg')
self.assertEqual(series.valuesPerPoint, 1)
series.consolidate(2)
self.assertEqual(series.valuesPerPoint, 2)
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1, [0.5, 2.5, 4.5, 6.5, 8.5, 10.5, 12.5, 14.5, 16.5, 18.5, 20.5, 22.5, 24.5, 26.5, 28.5, 30.5, 32.5, 34.5, 36.5, 38.5, 40.5, 42.5, 44.5, 46.5, 48.5, 50.5, 52.5, 54.5, 56.5, 58.5, 60.5, 62.5, 64.5, 66.5, 68.5, 70.5, 72.5, 74.5, 76.5, 78.5, 80.5, 82.5, 84.5, 86.5, 88.5, 90.5, 92.5, 94.5, 96.5, 98.5])
self.assertEqual(list(series), list(expected))
series.consolidate(3)
self.assertEqual(series.valuesPerPoint, 3)
expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1, map(float, list(range(1, 100, 3)) + [99]))
self.assertEqual(list(series), list(expected))
def test_TimeSeries_iterate_valuesPerPoint_2_invalid(self):
values = list(range(0,100))
series = TimeSeries("collectd.test-db.load.value", 0, 5, 1, values, consolidate='bogus')
self.assertEqual(series.valuesPerPoint, 1)
series.consolidate(2)
self.assertEqual(series.valuesPerPoint, 2)
with self.assertRaisesRegex(Exception, "Invalid consolidation function: 'bogus'"):
_ = list(series)
class DatalibFunctionTest(TestCase):
def _build_requestContext(self, startTime=datetime(1970, 1, 1, 0, 0, 0, 0, pytz.timezone(settings.TIME_ZONE)), endTime=datetime(1970, 1, 1, 0, 59, 0, 0, pytz.timezone(settings.TIME_ZONE)), data=[], tzinfo=pytz.utc):
"""
Helper method to create request contexts
Args:
startTime: datetime
endTime: datetime
data: list
Returns:
"""
return {
'template': {},
'args': ({}, {}),
'startTime': startTime,
'endTime': endTime,
'localOnly': False,
'data': data,
'tzinfo': tzinfo
}
def test__merge_results(self):
pathExpr = 'collectd.test-db.load.value'
startTime=datetime(1970, 1, 1, 0, 10, 0, 0, pytz.timezone(settings.TIME_ZONE))
endTime=datetime(1970, 1, 1, 0, 20, 0, 0, pytz.timezone(settings.TIME_ZONE))
timeInfo = [startTime, endTime, 60]
result_queue = [
[pathExpr, [timeInfo, [0,1,2,3,4,None,None,None,None,None]]],
[pathExpr, [timeInfo, [None,None,None,None,None,5,6,7,8,9]]],
[pathExpr, [timeInfo, [None,None,None,None,None,None,None,7,8,9]]],
[pathExpr, [timeInfo, [0,1,2,3,4,None,None,7,8,9]]]
]
seriesList = {}
requestContext = self._build_requestContext(startTime, endTime)
results = _merge_results(pathExpr, startTime, endTime, result_queue, seriesList, requestContext)
expectedResults = [
TimeSeries("collectd.test-db.load.value", startTime, endTime, 60, [0,1,2,3,4,5,6,7,8,9]),
]
self.assertEqual(results, expectedResults)
@mock.patch('graphite.logger.log.debug')
def test__merge_results_no_results(self, log_debug):
pathExpr = 'collectd.test-db.load.value'
startTime=datetime(1970, 1, 1, 0, 10, 0, 0, pytz.timezone(settings.TIME_ZONE))
endTime=datetime(1970, 1, 1, 0, 20, 0, 0, pytz.timezone(settings.TIME_ZONE))
# timeInfo = [startTime, endTime, 60]
result_queue = [
[pathExpr, None],
]
seriesList = {}
requestContext = self._build_requestContext(startTime, endTime)
results = _merge_results(pathExpr, startTime, endTime, result_queue, seriesList, requestContext)
expectedResults = []
self.assertEqual(results, expectedResults)
log_debug.assert_called_with("render.datalib.fetchData :: no results for %s.fetch(%s, %s)" % (pathExpr, startTime, endTime))
@mock.patch('graphite.logger.log.exception')
def test__merge_results_bad_results(self, log_exception):
pathExpr = 'collectd.test-db.load.value'
startTime=datetime(1970, 1, 1, 0, 10, 0, 0, pytz.timezone(settings.TIME_ZONE))
endTime=datetime(1970, 1, 1, 0, 20, 0, 0, pytz.timezone(settings.TIME_ZONE))
# timeInfo = [startTime, endTime, 60]
result_queue = [
[pathExpr, ['invalid input']],
]
seriesList = {}
requestContext = self._build_requestContext(startTime, endTime)
with self.assertRaises(Exception):
_merge_results(pathExpr, startTime, endTime, result_queue, seriesList, requestContext)
log_exception.assert_called_with("could not parse timeInfo/values from metric '%s': %s" % (pathExpr, 'need more than 1 value to unpack'))
def test__merge_results_multiple_series(self):
pathExpr = 'collectd.test-db.load.value'
startTime=datetime(1970, 1, 1, 0, 10, 0, 0, pytz.timezone(settings.TIME_ZONE))
endTime=datetime(1970, 1, 1, 0, 20, 0, 0, pytz.timezone(settings.TIME_ZONE))
timeInfo = [startTime, endTime, 60]
result_queue = [
[pathExpr, [timeInfo, [0,1,2,3,4,None,None,None,None,None]]],
[pathExpr, [timeInfo, [None,None,None,None,None,5,6,7,8,9]]],
[pathExpr, [timeInfo, [None,None,None,None,None,None,None,7,8,9]]],
[pathExpr, [timeInfo, [0,1,2,3,4,None,None,7,8,9]]]
]
seriesList = {
'collectd.test-db.cpu.value': TimeSeries("collectd.test-db.cpu.value", startTime, endTime, 60, [0,1,2,3,4,5,6,7,8,9])
}
requestContext = self._build_requestContext(startTime, endTime)
results = _merge_results(pathExpr, startTime, endTime, result_queue, seriesList, requestContext)
expectedResults = [
TimeSeries("collectd.test-db.cpu.value", startTime, endTime, 60, [0,1,2,3,4,5,6,7,8,9]),
TimeSeries("collectd.test-db.load.value", startTime, endTime, 60, [0,1,2,3,4,5,6,7,8,9]),
]
self.assertEqual(results, expectedResults)
def test__merge_results_no_remote_store_merge_results(self):
pathExpr = 'collectd.test-db.load.value'
startTime=datetime(1970, 1, 1, 0, 10, 0, 0, pytz.timezone(settings.TIME_ZONE))
endTime=datetime(1970, 1, 1, 0, 20, 0, 0, pytz.timezone(settings.TIME_ZONE))
timeInfo = [startTime, endTime, 60]
result_queue = [
[pathExpr, [timeInfo, [0,1,2,3,4,None,None,None,None,None]]],
[pathExpr, [timeInfo, [None,None,None,3,4,5,6,7,8,9]]],
[pathExpr, [timeInfo, [None,None,None,None,None,None,None,7,8,9]]]
]
seriesList = {}
requestContext = self._build_requestContext(startTime, endTime)
with self.settings(REMOTE_STORE_MERGE_RESULTS=False):
results = _merge_results(pathExpr, startTime, endTime, result_queue, seriesList, requestContext)
expectedResults = [
TimeSeries("collectd.test-db.load.value", startTime, endTime, 60, [None,None,None,3,4,5,6,7,8,9]),
]
self.assertEqual(results, expectedResults)
def test_fetchData(self):
pathExpr = 'collectd.test-db.load.value'
startTime=datetime(1970, 1, 1, 0, 10, 0, 0, pytz.timezone(settings.TIME_ZONE))
endTime=datetime(1970, 1, 1, 0, 20, 0, 0, pytz.timezone(settings.TIME_ZONE))
requestContext = self._build_requestContext(startTime, endTime)
requestContext['now'] = endTime
requestContext['forwardHeaders'] = None
results = fetchData(requestContext, pathExpr)
expectedResults = []
self.assertEqual(results, expectedResults)
def test_prefetchData(self):
# STORE.finders has no non-local finders
results = prefetchData({}, [])
self.assertEqual(results, None)
# STORE.fetch returns list with None value
with patch('graphite.render.datalib.STORE.fetch', lambda *_: [None]):
startTime = datetime(1970, 1, 1, 0, 10, 0, 0, pytz.timezone(settings.TIME_ZONE))
endTime = datetime(1970, 1, 1, 0, 20, 0, 0, pytz.timezone(settings.TIME_ZONE))
now = datetime(1970, 1, 1, 0, 20, 0, 0, pytz.timezone(settings.TIME_ZONE))
requestContext = {
'startTime': startTime,
'endTime': endTime,
'now': now,
'prefetched': {
'somekey': 'somedata',
},
}
prefetchData(requestContext, ['test'])
self.assertEqual(requestContext['prefetched'][timebounds(requestContext)], {})
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