def test_data_accessors(self):
"""methods to get metadata and such."""
self.assertEqual(self._canned_wire_series.name(), 'traffic')
self.assertTrue(self._canned_wire_series.is_utc())
# index stuff
self.assertEqual(
self._canned_index_series.index_as_string(),
INDEXED_DATA.get('index'))
self.assertTrue(isinstance(self._canned_index_series.index(), Index))
self.assertEqual(
self._canned_index_series.index_as_range().to_json(),
[54000000000, 54086400000])
self.assertEqual(
self._canned_wire_series.meta(),
{'utc': True, 'name': 'traffic'})
self.assertEqual(self._canned_wire_series.meta('name'), 'traffic')
self.assertEqual(len(list(self._canned_wire_series.events())), 4)
self.assertEqual(
self._canned_event_series.collection(),
self._canned_event_series._collection) # pylint: disable=protected-access
self.assertEqual(self._canned_event_series.size_valid('in'), 3)
# at_first() and at_last() and at_time()
self.assertTrue(Event.same(self._canned_event_series.at_first(), EVENT_LIST[0]))
self.assertTrue(Event.same(self._canned_event_series.at_last(), EVENT_LIST[2]))
ref_dtime = EVENT_LIST[1].timestamp() + datetime.timedelta(seconds=3)
self.assertTrue(Event.same(self._canned_event_series.at_time(ref_dtime),
EVENT_LIST[1]))
def test_sum_avg_with_filtering(self):
"""test summing multiple events together via combine on the back end."""
# combine them all
events = [
self._create_event(self.aware_ts, {
'a': 5,
'b': 6,
'c': 7
}),
self._create_event(self.aware_ts, {
'a': None,
'b': None,
'c': 4
}),
self._create_event(self.aware_ts, {
'a': 1,
'b': 2,
'c': 3
}),
]
result = Event.sum(events, filter_func=Filters.zero_missing)
self.assertEqual(result[0].get('a'), 6)
result = Event.sum(events, filter_func=Filters.propagate_missing)
self.assertIsNone(result[0].get('a'))
result = Event.avg(events, filter_func=Filters.ignore_missing)
self.assertEqual(result[0].get('b'), 4)
result = Event.avg(events, filter_func=Filters.propagate_missing)
self.assertIsNone(result[0].get('b'))
def test_data_accessors(self):
"""methods to get metadata and such."""
self.assertEqual(self._canned_wire_series.name(), 'traffic')
self.assertTrue(self._canned_wire_series.is_utc())
# index stuff
self.assertEqual(self._canned_index_series.index_as_string(),
INDEXED_DATA.get('index'))
self.assertTrue(isinstance(self._canned_index_series.index(), Index))
self.assertEqual(self._canned_index_series.index_as_range().to_json(),
[54000000000, 54086400000])
self.assertEqual(self._canned_wire_series.meta(), {
'utc': True,
'name': 'traffic'
})
self.assertEqual(self._canned_wire_series.meta('name'), 'traffic')
self.assertEqual(len(list(self._canned_wire_series.events())), 4)
self.assertEqual(self._canned_event_series.collection(),
self._canned_event_series._collection) # pylint: disable=protected-access
self.assertEqual(self._canned_event_series.size_valid('in'), 3)
# at_first() and at_last() and at_time()
self.assertTrue(
Event.same(self._canned_event_series.at_first(), EVENT_LIST[0]))
self.assertTrue(
Event.same(self._canned_event_series.at_last(), EVENT_LIST[2]))
ref_dtime = EVENT_LIST[1].timestamp() + datetime.timedelta(seconds=3)
self.assertTrue(
Event.same(self._canned_event_series.at_time(ref_dtime),
EVENT_LIST[1]))
def test_event_same(self):
"""test Event.same() static method."""
ev1 = copy.copy(self.canned_event)
ev2 = copy.copy(self.canned_event)
self.assertTrue(Event.same(ev1, ev2))
# make a new one with same data but new timestamp.
ev3 = Event(freeze(dict(time=self.aware_ts, data=ev1.data())))
self.assertFalse(Event.same(ev1, ev3))
def test_event_same(self):
"""test Event.same() static method."""
ev1 = copy.copy(self.canned_event)
ev2 = copy.copy(self.canned_event)
self.assertTrue(Event.same(ev1, ev2))
# make a new one with same data but new timestamp.
ev3 = Event(freeze(dict(time=self.aware_ts, data=ev1.data())))
self.assertFalse(Event.same(ev1, ev3))
def test_event_map_function_arg_and_reduce(self): # pylint: disable=invalid-name
"""Test Event.map() with a custom function and Event.reduce()"""
def map_sum(event): # pylint: disable=missing-docstring
# return 'sum', event.get('in') + event.get('out')
return dict(sum=event.get('in') + event.get('out'))
result = Event.map(self._get_event_series(), map_sum)
self.assertEqual(set(result), set({'sum': [13, 17, 21, 26]}))
res = Event.reduce(result, Functions.avg())
self.assertEqual(set(res), set({'sum': 19.25}))
def test_event_map_function_arg_and_reduce(self): # pylint: disable=invalid-name
"""Test Event.map() with a custom function and Event.reduce()"""
def map_sum(event): # pylint: disable=missing-docstring
# return 'sum', event.get('in') + event.get('out')
return dict(sum=event.get('in') + event.get('out'))
result = Event.map(self._get_event_series(), map_sum)
self.assertEqual(set(result), set({'sum': [13, 17, 21, 26]}))
res = Event.reduce(result, Functions.avg())
self.assertEqual(set(res), set({'sum': 19.25}))
def test_nested_merge(self):
"""trigger merging nested data."""
# pylint: disable=invalid-name
e_ts = aware_utcnow()
e1 = Event(e_ts, dict(payload=dict(a=1)))
e2 = Event(e_ts, dict(payload=dict(b=2)))
emerge = Event.merge([e1, e2])
self.assertEqual(emerge[0].get('payload.a'), 1)
self.assertEqual(emerge[0].get('payload.b'), 2)
def test_event_merge(self):
"""Test Event.merge()/merge_events()"""
# same timestamp, different keys
# good ones, same ts, different payloads
pay1 = dict(foo='bar', baz='quux')
ev1 = Event(self.aware_ts, pay1)
pay2 = dict(foo2='bar', baz2='quux')
ev2 = Event(self.aware_ts, pay2)
merged = Event.merge([ev1, ev2])
self.assertEqual(set(thaw(merged[0].data())), set(dict(pay1, **pay2)))
def test_mutators(self):
"""test collection mutation."""
extra_event = Event(1429673580000, {'in': 7, 'out': 8})
new_coll = self._canned_collection.add_event(extra_event)
self.assertEqual(new_coll.size(), 4)
# test slice() here since this collection is longer.
sliced = new_coll.slice(1, 3)
self.assertEqual(sliced.size(), 2)
self.assertTrue(Event.same(sliced.at(0), EVENT_LIST[1]))
# work stddev as well
self.assertEqual(new_coll.stdev('in'), 2.23606797749979)
self.assertEqual(new_coll.median('in'), 4)
def test_event_valid(self):
"""test Event.is_valid_value()"""
dct = dict(
good='good',
also_good=[],
none=None,
nan=float('NaN'),
empty_string='', # presume this is undefined
)
event = Event(self.aware_ts, dct)
self.assertTrue(Event.is_valid_value(event, 'good'))
self.assertTrue(Event.is_valid_value(event, 'also_good'))
self.assertFalse(Event.is_valid_value(event, 'none'))
self.assertFalse(Event.is_valid_value(event, 'nan'))
self.assertFalse(Event.is_valid_value(event, 'empty_string'))
def setUp(self):
super(TestConverter, self).setUp()
self._event = Event(dt_from_ms(1426316400000), 3)
self._tre = TimeRangeEvent(TimeRange([1426316400000, 1426320000000]),
3)
self._idxe = IndexedEvent("1h-396199", 3)
def test_event_map_no_key_map_all(self):
"""Test Event.map() with no field key - it will map everything"""
result = Event.map(self._get_event_series())
self.assertEqual(set(result),
set({'in': [2, 4, 6, 8],
'name': ['source1', 'source1', 'source1', 'source1'],
'out': [11, 13, 15, 18]}))
def test_event_map_multi_key(self):
"""Test Event.map() with multiple field keys."""
result = Event.map(self._get_event_series(), ['in', 'out'])
self.assertEqual(set(result),
set({
'out': [11, 13, 15, 18],
'in': [2, 4, 6, 8]
}))
def test_indexed_event_merge(self):
"""test merging indexed events."""
index = '1h-396206'
event1 = IndexedEvent(index, {'a': 5, 'b': 6})
event2 = IndexedEvent(index, freeze({'c': 2})) # pmap for coverage
merged = Event.merge([event1, event2])
self.assertEqual(merged[0].get('a'), 5)
self.assertEqual(merged[0].get('b'), 6)
self.assertEqual(merged[0].get('c'), 2)
# bad merges
# wrong length/etc
self.assertEqual(Event.merge({}), [])
self.assertEqual(Event.merge([]), [])
def test_indexed_event_merge(self):
"""test merging indexed events."""
index = '1h-396206'
event1 = IndexedEvent(index, {'a': 5, 'b': 6})
event2 = IndexedEvent(index, freeze({'c': 2})) # pmap for coverage
merged = Event.merge([event1, event2])
self.assertEqual(merged[0].get('a'), 5)
self.assertEqual(merged[0].get('b'), 6)
self.assertEqual(merged[0].get('c'), 2)
# bad merges
# wrong length/etc
self.assertEqual(Event.merge({}), [])
self.assertEqual(Event.merge([]), [])
def test_regular_with_event_copy(self):
"""create a regular event with copy constructor/existing event."""
data = {'a': 3, 'b': 6}
event = self._create_event(self.aware_ts, data)
event2 = Event(event)
self._base_checks(event2, data, dtime=self.aware_ts)
def test_event_selector(self):
"""test Event.selector()"""
new_deep = dict({'WestRoute': {'in': 567, 'out': 890}}, **DEEP_EVENT_DATA)
event = self._create_event(self.aware_ts, new_deep)
ev2 = Event.selector(event, 'NorthRoute')
self.assertEqual(len(list(ev2.data().keys())), 1)
self.assertIsNotNone(ev2.data().get('NorthRoute'))
ev3 = Event.selector(event, ['WestRoute', 'SouthRoute'])
self.assertEqual(len(list(ev3.data().keys())), 2)
self.assertIsNotNone(ev3.data().get('SouthRoute'))
self.assertIsNotNone(ev3.data().get('WestRoute'))
# bad args for coverage
ev4 = Event.selector(event, 2)
self.assertEqual(event, ev4)
def test_event_map_no_key_map_all(self):
"""Test Event.map() with no field key - it will map everything"""
result = Event.map(self._get_event_series())
self.assertEqual(
set(result),
set({
'in': [2, 4, 6, 8],
'name': ['source1', 'source1', 'source1', 'source1'],
'out': [11, 13, 15, 18]
}))
def test_time_range_event_merge(self):
"""Test merging."""
t_range = TimeRange(self.test_begin_ts, self.test_end_ts)
tr1 = TimeRangeEvent(t_range, dict(a=5, b=6))
tr2 = TimeRangeEvent(t_range, dict(c=2))
merged = Event.merge([tr1, tr2])
self.assertEqual(merged[0].get('a'), 5)
self.assertEqual(merged[0].get('b'), 6)
self.assertEqual(merged[0].get('c'), 2)
def test_time_range_event_merge(self):
"""Test merging."""
t_range = TimeRange(self.test_begin_ts, self.test_end_ts)
tr1 = TimeRangeEvent(t_range, dict(a=5, b=6))
tr2 = TimeRangeEvent(t_range, dict(c=2))
merged = Event.merge([tr1, tr2])
self.assertEqual(merged[0].get('a'), 5)
self.assertEqual(merged[0].get('b'), 6)
self.assertEqual(merged[0].get('c'), 2)
def test_nested_merge(self):
"""trigger merging nested data."""
# pylint: disable=invalid-name
e_ts = aware_utcnow()
e1 = Event(e_ts, dict(payload=dict(a=1)))
e2 = Event(e_ts, dict(payload=dict(b=2)))
emerge = Event.merge([e1, e2])
self.assertEqual(emerge[0].get('payload.a'), 1)
self.assertEqual(emerge[0].get('payload.b'), 2)
def test_event_merge(self):
"""Test Event.merge()/merge_events()"""
# same timestamp, different keys
# good ones, same ts, different payloads
pay1 = dict(foo='bar', baz='quux')
ev1 = Event(self.aware_ts, pay1)
pay2 = dict(foo2='bar', baz2='quux')
ev2 = Event(self.aware_ts, pay2)
merged = Event.merge([ev1, ev2])
self.assertEqual(set(thaw(merged[0].data())), set(dict(pay1, **pay2)))
def test_sum_avg_with_filtering(self):
"""test summing multiple events together via combine on the back end."""
# combine them all
events = [
self._create_event(self.aware_ts, {'a': 5, 'b': 6, 'c': 7}),
self._create_event(self.aware_ts, {'a': None, 'b': None, 'c': 4}),
self._create_event(self.aware_ts, {'a': 1, 'b': 2, 'c': 3}),
]
result = Event.sum(events, filter_func=Filters.zero_missing)
self.assertEqual(result[0].get('a'), 6)
result = Event.sum(events, filter_func=Filters.propagate_missing)
self.assertIsNone(result[0].get('a'))
result = Event.avg(events, filter_func=Filters.ignore_missing)
self.assertEqual(result[0].get('b'), 4)
result = Event.avg(events, filter_func=Filters.propagate_missing)
self.assertIsNone(result[0].get('b'))
def test_event_selector(self):
"""test Event.selector()"""
new_deep = dict({'WestRoute': {
'in': 567,
'out': 890
}}, **DEEP_EVENT_DATA)
event = self._create_event(self.aware_ts, new_deep)
ev2 = Event.selector(event, 'NorthRoute')
self.assertEqual(len(list(ev2.data().keys())), 1)
self.assertIsNotNone(ev2.data().get('NorthRoute'))
ev3 = Event.selector(event, ['WestRoute', 'SouthRoute'])
self.assertEqual(len(list(ev3.data().keys())), 2)
self.assertIsNotNone(ev3.data().get('SouthRoute'))
self.assertIsNotNone(ev3.data().get('WestRoute'))
# bad args for coverage
ev4 = Event.selector(event, 2)
self.assertEqual(event, ev4)
def test_aggregation_filtering(self):
"""Test the new filtering methods for cleaning stuff."""
elist = [
Event(1429673400000, {
'in': 1,
'out': 1
}),
Event(1429673460000, {
'in': 2,
'out': 5
}),
Event(1429673520000, {
'in': 3,
'out': None
}),
]
coll = Collection(elist)
self.assertEqual(coll.aggregate(Functions.sum(), 'in'), 6)
self.assertEqual(
coll.aggregate(Functions.sum(Filters.propagate_missing), 'in'), 6)
self.assertEqual(
coll.aggregate(Functions.sum(Filters.propagate_missing), 'out'),
None)
self.assertEqual(
coll.aggregate(Functions.avg(Filters.ignore_missing), 'in'), 2)
self.assertEqual(
coll.aggregate(Functions.avg(Filters.ignore_missing), 'out'), 3)
self.assertEqual(
coll.aggregate(Functions.avg(Filters.zero_missing), 'in'), 2)
self.assertEqual(
coll.aggregate(Functions.avg(Filters.zero_missing), 'out'), 2)
def test_aggregation_filtering(self):
"""test the filtering modifers to the agg functions."""
event_objects = [
Event(1429673400000, {
'in': 1,
'out': 2
}),
Event(1429673460000, {
'in': 3,
'out': None
}),
Event(1429673520000, {
'in': 5,
'out': 6
}),
]
series = TimeSeries(dict(name='events', events=event_objects))
self.assertEqual(series.sum('out', Filters.ignore_missing), 8)
self.assertEqual(series.avg('out', Filters.ignore_missing), 4)
self.assertEqual(series.min('out', Filters.zero_missing), 0)
self.assertEqual(series.max('out', Filters.propagate_missing), None)
self.assertEqual(series.mean('out', Filters.ignore_missing), 4)
self.assertEqual(series.median('out', Filters.zero_missing), 2)
self.assertEqual(series.stdev('out', Filters.zero_missing),
2.494438257849294)
avg_f = Functions.avg(Filters.none_if_empty)
self.assertIsNone(avg_f([]))
def bad_filtering_function(): # pylint: disable=missing-docstring
pass
with self.assertRaises(FilterException):
series.sum('out', bad_filtering_function)
def test_mutators(self):
"""test collection mutation."""
extra_event = Event(1429673580000, {'in': 7, 'out': 8})
new_coll = self._canned_collection.add_event(extra_event)
self.assertEqual(new_coll.size(), 4)
# test slice() here since this collection is longer.
sliced = new_coll.slice(1, 3)
self.assertEqual(sliced.size(), 2)
self.assertTrue(Event.same(sliced.at(0), EVENT_LIST[1]))
# work stddev as well
self.assertEqual(new_coll.stdev('in'), 2.23606797749979)
self.assertEqual(new_coll.median('in'), 4)
def test_event_valid(self):
"""test Event.is_valid_value()"""
dct = dict(
good='good',
also_good=[],
none=None,
nan=float('NaN'),
empty_string='', # presume this is undefined
)
event = Event(self.aware_ts, dct)
self.assertTrue(Event.is_valid_value(event, 'good'))
self.assertTrue(Event.is_valid_value(event, 'also_good'))
self.assertFalse(Event.is_valid_value(event, 'none'))
self.assertFalse(Event.is_valid_value(event, 'nan'))
self.assertFalse(Event.is_valid_value(event, 'empty_string'))
def test_linear_stream(self):
"""Test streaming on linear fill"""
def cback(collection, window_key, group_by):
"""the callback"""
global RESULTS # pylint: disable=global-statement
RESULTS = collection
events = [
Event(1400425947000, 1),
Event(1400425948000, 2),
Event(1400425949000, dict(value=None)),
Event(1400425950000, dict(value=None)),
Event(1400425951000, dict(value=None)),
Event(1400425952000, 5),
Event(1400425953000, 6),
Event(1400425954000, 7),
]
stream = Stream()
(Pipeline().from_source(stream).fill(method='linear',
field_spec='value').to(
CollectionOut, cback))
for i in events:
stream.add_event(i)
self.assertEqual(RESULTS.size(), len(events))
self.assertEqual(RESULTS.at(0).get(), 1)
self.assertEqual(RESULTS.at(1).get(), 2)
self.assertEqual(RESULTS.at(2).get(), 2.75) # filled
self.assertEqual(RESULTS.at(3).get(), 3.5) # filled
self.assertEqual(RESULTS.at(4).get(), 4.25) # filled
self.assertEqual(RESULTS.at(5).get(), 5)
self.assertEqual(RESULTS.at(6).get(), 6)
self.assertEqual(RESULTS.at(7).get(), 7)
def test_slices_and_permutations(self):
"""methods that slice/etc the underlying series."""
# bisect
search = dt_from_ms(1400425949000 + 30)
bsect_idx = self._canned_wire_series.bisect(search)
# bisect with bad arg
bad_search = datetime.datetime.now()
with self.assertRaises(CollectionException):
self._canned_wire_series.bisect(bad_search)
bsection = self._canned_wire_series.at(bsect_idx)
self.assertEqual(bsection.data().get('status'), 'fail')
# clean
self.assertEqual(self._canned_event_series.clean('in').size(), 3)
self.assertEqual(self._canned_event_series.clean('bogus_value').size(), 0)
# slice
sliced = self._canned_event_series.slice(1, 3)
self.assertEqual(sliced.size(), 2)
self.assertTrue(Event.same(sliced.at(0), EVENT_LIST[1]))
def test_accessor_methods(self):
"""test various access methods. Mostly for coverage."""
col = self._canned_collection
# basic accessors
self.assertEqual(col.to_json(), EVENT_LIST)
self.assertEqual(len(json.loads(col.to_string())), 3)
# test at() - corollary to array index
self.assertTrue(Event.same(col.at(2), EVENT_LIST[2]))
# overshoot
with self.assertRaises(CollectionException):
col.at(5)
# test at_time()
# get timestamp of second event and add some time to it
ref_dtime = EVENT_LIST[1].timestamp() + datetime.timedelta(seconds=3)
self.assertTrue(Event.same(col.at_time(ref_dtime), EVENT_LIST[1]))
# overshoot the end of the list for coverage
ref_dtime = EVENT_LIST[2].timestamp() + datetime.timedelta(seconds=3)
self.assertTrue(Event.same(col.at_time(ref_dtime), EVENT_LIST[2]))
# make sure returning index 0 works
ref_dtime = EVENT_LIST[0].timestamp() + datetime.timedelta(seconds=3)
self.assertTrue(Event.same(col.at_time(ref_dtime), EVENT_LIST[0]))
# hit dead on for coverage
self.assertEqual(col.at_time(EVENT_LIST[1].timestamp()).get('in'), 3)
# empty collection for coverage
empty_coll = Collection(col, copy_events=False)
self.assertIsNone(empty_coll.at_time(ref_dtime))
# at_first() and at_last()
self.assertTrue(Event.same(col.at_first(), EVENT_LIST[0]))
self.assertTrue(Event.same(col.at_last(), EVENT_LIST[2]))
# get the raw event list
self.assertTrue(is_pvector(col.event_list()))
self.assertTrue(isinstance(col.event_list_as_list(), list))
def test_accessor_methods(self):
"""test various access methods. Mostly for coverage."""
col = self._canned_collection
# basic accessors
self.assertEqual(col.to_json(), EVENT_LIST)
self.assertEqual(len(json.loads(col.to_string())), 3)
# test at() - corollary to array index
self.assertTrue(Event.same(col.at(2), EVENT_LIST[2]))
# overshoot
with self.assertRaises(CollectionException):
col.at(5)
# test at_time()
# get timestamp of second event and add some time to it
ref_dtime = EVENT_LIST[1].timestamp() + datetime.timedelta(seconds=3)
self.assertTrue(Event.same(col.at_time(ref_dtime), EVENT_LIST[1]))
# overshoot the end of the list for coverage
ref_dtime = EVENT_LIST[2].timestamp() + datetime.timedelta(seconds=3)
self.assertTrue(Event.same(col.at_time(ref_dtime), EVENT_LIST[2]))
# make sure returning index 0 works
ref_dtime = EVENT_LIST[0].timestamp() + datetime.timedelta(seconds=3)
self.assertTrue(Event.same(col.at_time(ref_dtime), EVENT_LIST[0]))
# hit dead on for coverage
self.assertEqual(col.at_time(EVENT_LIST[1].timestamp()).get('in'), 3)
# empty collection for coverage
empty_coll = Collection(col, copy_events=False)
self.assertIsNone(empty_coll.at_time(ref_dtime))
# at_first() and at_last()
self.assertTrue(Event.same(col.at_first(), EVENT_LIST[0]))
self.assertTrue(Event.same(col.at_last(), EVENT_LIST[2]))
# get the raw event list
self.assertTrue(is_pvector(col.event_list()))
self.assertTrue(isinstance(col.event_list_as_list(), list))
def test_slices_and_permutations(self):
"""methods that slice/etc the underlying series."""
# bisect
search = dt_from_ms(1400425949000 + 30)
bsect_idx = self._canned_wire_series.bisect(search)
# bisect with bad arg
bad_search = datetime.datetime.now()
with self.assertRaises(CollectionException):
self._canned_wire_series.bisect(bad_search)
bsection = self._canned_wire_series.at(bsect_idx)
self.assertEqual(bsection.data().get('status'), 'fail')
# clean
self.assertEqual(self._canned_event_series.clean('in').size(), 3)
self.assertEqual(
self._canned_event_series.clean('bogus_value').size(), 0)
# slice
sliced = self._canned_event_series.slice(1, 3)
self.assertEqual(sliced.size(), 2)
self.assertTrue(Event.same(sliced.at(0), EVENT_LIST[1]))
def test_aggregate_and_conversion(self):
"""Aggregate/average and convert to TimeRangeEvent."""
events_in = [
Event(
aware_dt_from_args(
dict(year=2015, month=3, day=14, hour=1, minute=57)), {
'in': 3,
'out': 1
}),
Event(
aware_dt_from_args(
dict(year=2015, month=3, day=14, hour=1, minute=58)), {
'in': 9,
'out': 2
}),
Event(
aware_dt_from_args(
dict(year=2015, month=3, day=14, hour=1, minute=59)), {
'in': 6,
'out': 6
}),
Event(
aware_dt_from_args(
dict(year=2015, month=3, day=14, hour=2, minute=0)), {
'in': 4,
'out': 7
}),
Event(
aware_dt_from_args(
dict(year=2015, month=3, day=14, hour=2, minute=1)), {
'in': 5,
'out': 9
}),
]
def cback(event):
"""callback to pass in."""
global RESULTS # pylint: disable=global-statement
if RESULTS is None:
RESULTS = dict()
RESULTS['{0}'.format(ms_from_dt(event.timestamp()))] = event
uin = Stream()
(Pipeline().from_source(uin).window_by('1h').emit_on(
'eachEvent').aggregate({
'in_avg': {
'in': Functions.avg()
},
'out_avg': {
'out': Functions.avg()
},
}).as_time_range_events(dict(alignment='lag')).to(EventOut, cback))
for i in events_in:
uin.add_event(i)
self.assertEqual(RESULTS.get('1426294800000').get('in_avg'), 6)
self.assertEqual(RESULTS.get('1426294800000').get('out_avg'), 3)
self.assertEqual(RESULTS.get('1426298400000').get('in_avg'), 4.5)
self.assertEqual(RESULTS.get('1426298400000').get('out_avg'), 8)
def in_only(event):
"""make new events wtin only data in - same as .select() basically."""
return Event(event.timestamp(), {'in': event.get('in')})
def test_event_map_single_key(self):
"""Test Event.map() with single field key"""
result = Event.map(self._get_event_series(), 'in')
self.assertEqual(set(result), set({'in': [2, 4, 6, 8]}))
FilterException,
PipelineIOException,
TimeSeriesException,
)
from pypond.functions import Functions, Filters
from pypond.index import Index
from pypond.indexed_event import IndexedEvent
from pypond.range import TimeRange
from pypond.series import TimeSeries
from pypond.timerange_event import TimeRangeEvent
from pypond.util import is_pvector, ms_from_dt, aware_utcnow, dt_from_ms
# taken from the pipeline tests
EVENT_LIST = [
Event(1429673400000, {
'in': 1,
'out': 2
}),
Event(1429673460000, {
'in': 3,
'out': 4
}),
Event(1429673520000, {
'in': 5,
'out': 6
}),
]
# taken from the series tests
DATA = dict(name="traffic",
columns=["time", "value", "status"],
points=[[1400425947000, 52, "ok"], [1400425948000, 18, "ok"],
def test_simple_map_reduce(self):
"""test simple map/reduce."""
result = Event.map_reduce(self._get_event_series(), ['in', 'out'], Functions.avg())
self.assertEqual(set(result), set({'in': 5.0, 'out': 14.25}))
def test_is_duplicate(self):
"""Test Event.is_duplicate()"""
# events
# pylint: disable=invalid-name
e_ts = aware_utcnow()
e1 = Event(e_ts, 23)
e2 = Event(e_ts, 23)
self.assertTrue(Event.is_duplicate(e1, e2))
self.assertTrue(Event.is_duplicate(e1, e2, ignore_values=False))
e3 = Event(e_ts, 25)
self.assertTrue(Event.is_duplicate(e1, e3))
self.assertFalse(Event.is_duplicate(e1, e3, ignore_values=False))
# indexed events
ie1 = IndexedEvent('1d-12355', {'value': 42})
ie2 = IndexedEvent('1d-12355', {'value': 42})
self.assertTrue(Event.is_duplicate(ie1, ie2))
self.assertTrue(Event.is_duplicate(ie1, ie2, ignore_values=False))
ie3 = IndexedEvent('1d-12355', {'value': 44})
self.assertTrue(Event.is_duplicate(ie1, ie3))
self.assertFalse(Event.is_duplicate(ie1, ie3, ignore_values=False))
# time range events
test_end_ts = aware_utcnow()
test_begin_ts = test_end_ts - datetime.timedelta(hours=12)
test_end_ms = ms_from_dt(test_end_ts)
test_begin_ms = ms_from_dt(test_begin_ts)
tre1 = TimeRangeEvent((test_begin_ms, test_end_ms), 11)
tre2 = TimeRangeEvent((test_begin_ms, test_end_ms), 11)
self.assertTrue(Event.is_duplicate(tre1, tre2))
self.assertTrue(Event.is_duplicate(tre1, tre2, ignore_values=False))
tre3 = TimeRangeEvent((test_begin_ms, test_end_ms), 22)
self.assertTrue(Event.is_duplicate(tre1, tre3))
self.assertFalse(Event.is_duplicate(tre1, tre3, ignore_values=False))
def test_sum_events_with_combine(self):
"""test summing multiple events together via combine on the back end."""
# combine them all
events = [
self._create_event(self.aware_ts, {'a': 5, 'b': 6, 'c': 7}),
self._create_event(self.aware_ts, {'a': 2, 'b': 3, 'c': 4}),
self._create_event(self.aware_ts, {'a': 1, 'b': 2, 'c': 3}),
]
result = Event.sum(events)
self.assertEqual(result[0].get('a'), 8)
self.assertEqual(result[0].get('b'), 11)
self.assertEqual(result[0].get('c'), 14)
# combine single field
result = Event.sum(events, 'a')
self.assertEqual(result[0].get('a'), 8)
self.assertIsNone(result[0].get('b'))
self.assertIsNone(result[0].get('c'))
# grab multiple fields
result = Event.sum(events, ['a', 'c'])
self.assertEqual(result[0].get('a'), 8)
self.assertIsNone(result[0].get('b'))
self.assertEqual(result[0].get('c'), 14)
# average
result = Event.avg(
events + [self._create_event(self.aware_ts, {'a': 1, 'b': 1, 'c': 2})],
'c')
self.assertEqual(result[0].get('c'), 4)
# bad arg
self.assertEqual(Event.sum([]), [])
self.assertEqual(Event.avg([]), [])
# work the extra reducer functions in Functions module
result = Event.combine(events, 'c', Functions.max())
self.assertEqual(result[0].get('c'), 7)
result = Event.combine(events, 'c', Functions.min())
self.assertEqual(result[0].get('c'), 3)
result = Event.combine(events, 'c', Functions.count())
self.assertEqual(result[0].get('c'), 3)
result = Event.combine(events, 'c', Functions.first())
self.assertEqual(result[0].get('c'), 7)
result = Event.combine(events, 'c', Functions.last())
self.assertEqual(result[0].get('c'), 3)
result = Event.combine(events, 'c', Functions.difference())
self.assertEqual(result[0].get('c'), 4)
self.assertIsNone(Functions.first()([]))
self.assertIsNone(Functions.last()([]))
def test_event_series(self):
"""test a series that contains basic event objects."""
event_series = dict(
name="traffic",
columns=["time", "value", "status"],
points=[
[1400425947000, 52, "ok"],
[1400425948000, 18, "ok"],
[1400425949000, 26, "fail"],
[1400425950000, 93, "offline"]
]
)
series = TimeSeries(event_series)
wire = self._call_interop_script('event', series.to_string())
new_series = TimeSeries(wire)
new_json = new_series.to_json()
self._validate_wire_points(event_series, new_json)
self.assertTrue(new_json.get('utc'))
# try something a bit fancier with different types
interface_series = dict(
name="star-cr5:to_anl_ip-a_v4",
description="star-cr5->anl(as683):100ge:site-ex:show:intercloud",
device="star-cr5",
id=169,
interface="to_anl_ip-a_v4",
is_ipv6=False,
is_oscars=False,
oscars_id=None,
resource_uri="",
site="anl",
site_device="noni",
site_interface="et-1/0/0",
stats_type="Standard",
title=None,
columns=["time", "in", "out"],
points=[
[1400425947000, 52, 34],
[1400425948000, 18, 13],
[1400425949000, 26, 67],
[1400425950000, 93, 91]
]
)
series = TimeSeries(interface_series)
wire = self._call_interop_script('event', series.to_string())
new_series = TimeSeries(wire)
new_json = new_series.to_json()
self._validate_wire_points(interface_series, new_json)
# Now with a list of events
event_objects = [
Event(1429673400000, {'in': 1, 'out': 2}),
Event(1429673460000, {'in': 3, 'out': 4}),
Event(1429673520000, {'in': 5, 'out': 6}),
]
series = TimeSeries(dict(name='events', events=event_objects))
wire = self._call_interop_script('event', series.to_string())
new_series = TimeSeries(wire)
for i in enumerate(event_objects):
self.assertTrue(Event.same(i[1], new_series.at(i[0])))
def test_collect_and_aggregate(self):
"""collect events together and aggregate."""
events_in = [
Event(
aware_dt_from_args(
dict(year=2015, month=3, day=14, hour=7, minute=57)), {
'type': 'a',
'in': 3,
'out': 1
}),
Event(
aware_dt_from_args(
dict(year=2015, month=3, day=14, hour=7, minute=58)), {
'type': 'a',
'in': 9,
'out': 2
}),
Event(
aware_dt_from_args(
dict(year=2015, month=3, day=14, hour=7, minute=59)), {
'type': 'b',
'in': 6,
'out': 6
}),
Event(
aware_dt_from_args(
dict(year=2015, month=3, day=14, hour=8, minute=0)), {
'type': 'a',
'in': 4,
'out': 7
}),
Event(
aware_dt_from_args(
dict(year=2015, month=3, day=14, hour=8, minute=1)), {
'type': 'b',
'in': 5,
'out': 9
}),
]
def cback(event):
"""callback to pass in."""
global RESULTS # pylint: disable=global-statement
if RESULTS is None:
RESULTS = dict()
RESULTS['{0}:{1}'.format(event.index(), event.get('type'))] = event
uin = Stream()
(Pipeline().from_source(uin).group_by('type').window_by(
Capsule(duration='1h',
type='fixed')).emit_on('eachEvent').aggregate({
'type': {
'type': Functions.keep()
},
'in_avg': {
'in': Functions.avg()
},
'out_avg': {
'out': Functions.avg()
}
}).to(EventOut, cback))
for i in events_in:
uin.add_event(i)
self.assertEqual(RESULTS.get('1h-396199:a').get('in_avg'), 6)
self.assertEqual(RESULTS.get('1h-396199:a').get('out_avg'), 1.5)
self.assertEqual(RESULTS.get('1h-396199:b').get('in_avg'), 6)
self.assertEqual(RESULTS.get('1h-396199:b').get('out_avg'), 6)
self.assertEqual(RESULTS.get('1h-396200:a').get('in_avg'), 4)
self.assertEqual(RESULTS.get('1h-396200:a').get('out_avg'), 7)
self.assertEqual(RESULTS.get('1h-396200:b').get('in_avg'), 5)
self.assertEqual(RESULTS.get('1h-396200:b').get('out_avg'), 9)
def test_windowed_average(self):
"""aggregate events into by windowed avg."""
events_in = [
Event(
aware_dt_from_args(
dict(year=2015, month=3, day=14, hour=7, minute=57)), {
'in': 3,
'out': 1
}),
Event(
aware_dt_from_args(
dict(year=2015, month=3, day=14, hour=7, minute=58)), {
'in': 9,
'out': 2
}),
Event(
aware_dt_from_args(
dict(year=2015, month=3, day=14, hour=7, minute=59)), {
'in': 6,
'out': 6
}),
Event(
aware_dt_from_args(
dict(year=2015, month=3, day=14, hour=8, minute=0)), {
'in': 4,
'out': 7
}),
Event(
aware_dt_from_args(
dict(year=2015, month=3, day=14, hour=8, minute=1)), {
'in': 5,
'out': 9
}),
]
def cback(event):
"""callback to pass in."""
global RESULTS # pylint: disable=global-statement
if RESULTS is None:
RESULTS = dict()
RESULTS['{0}'.format(event.index())] = event
uin = Stream()
(Pipeline().from_source(uin).window_by('1h').emit_on(
'eachEvent').aggregate({
'in_avg': {
'in': Functions.avg()
},
'out_avg': {
'out': Functions.avg()
}
}).to(EventOut, cback))
for i in events_in:
uin.add_event(i)
self.assertEqual(RESULTS.get('1h-396199').get('in_avg'), 6)
self.assertEqual(RESULTS.get('1h-396199').get('out_avg'), 3)
self.assertEqual(RESULTS.get('1h-396200').get('in_avg'), 4.5)
self.assertEqual(RESULTS.get('1h-396200').get('out_avg'), 8)
DATA = dict(name="traffic",
columns=["time", "value", "status"],
points=[[1400425947000, 52, "ok"], [1400425948000, 18, "ok"],
[1400425949000, 26, "fail"],
[1400425950000, 93, "offline"]])
def _strp(dstr):
"""decode some existing test ts strings from js tests."""
fmt = '%Y-%m-%dT%H:%M:%SZ'
return datetime.datetime.strptime(dstr, fmt).replace(tzinfo=pytz.UTC)
EVENTLIST1 = [
Event(_strp("2015-04-22T03:30:00Z"), {
'in': 1,
'out': 2
}),
Event(_strp("2015-04-22T03:31:00Z"), {
'in': 3,
'out': 4
}),
Event(_strp("2015-04-22T03:32:00Z"), {
'in': 5,
'out': 6
}),
]
SEPT_2014_DATA = dict(name="traffic",
columns=["time", "value"],
points=[[1409529600000, 80], [1409533200000, 88],
[1409536800000, 52], [1409540400000, 80],
def test_sum_events_with_combine(self):
"""test summing multiple events together via combine on the back end."""
# combine them all
events = [
self._create_event(self.aware_ts, {
'a': 5,
'b': 6,
'c': 7
}),
self._create_event(self.aware_ts, {
'a': 2,
'b': 3,
'c': 4
}),
self._create_event(self.aware_ts, {
'a': 1,
'b': 2,
'c': 3
}),
]
result = Event.sum(events)
self.assertEqual(result[0].get('a'), 8)
self.assertEqual(result[0].get('b'), 11)
self.assertEqual(result[0].get('c'), 14)
# combine single field
result = Event.sum(events, 'a')
self.assertEqual(result[0].get('a'), 8)
self.assertIsNone(result[0].get('b'))
self.assertIsNone(result[0].get('c'))
# grab multiple fields
result = Event.sum(events, ['a', 'c'])
self.assertEqual(result[0].get('a'), 8)
self.assertIsNone(result[0].get('b'))
self.assertEqual(result[0].get('c'), 14)
# average
result = Event.avg(
events +
[self._create_event(self.aware_ts, {
'a': 1,
'b': 1,
'c': 2
})], 'c')
self.assertEqual(result[0].get('c'), 4)
# bad arg
self.assertEqual(Event.sum([]), [])
self.assertEqual(Event.avg([]), [])
# work the extra reducer functions in Functions module
result = Event.combine(events, 'c', Functions.max())
self.assertEqual(result[0].get('c'), 7)
result = Event.combine(events, 'c', Functions.min())
self.assertEqual(result[0].get('c'), 3)
result = Event.combine(events, 'c', Functions.count())
self.assertEqual(result[0].get('c'), 3)
result = Event.combine(events, 'c', Functions.first())
self.assertEqual(result[0].get('c'), 7)
result = Event.combine(events, 'c', Functions.last())
self.assertEqual(result[0].get('c'), 3)
result = Event.combine(events, 'c', Functions.difference())
self.assertEqual(result[0].get('c'), 4)
self.assertIsNone(Functions.first()([]))
self.assertIsNone(Functions.last()([]))
def _create_event(self, arg1, arg2=None): # pylint: disable=no-self-use
return Event(arg1, arg2)
def in_only(event):
"""make new events wtin only data in."""
return Event(event.timestamp(), {'in': event.get('in')})
def test_simple_map_reduce(self):
"""test simple map/reduce."""
result = Event.map_reduce(self._get_event_series(), ['in', 'out'],
Functions.avg())
self.assertEqual(set(result), set({'in': 5.0, 'out': 14.25}))
def test_event_map_multi_key(self):
"""Test Event.map() with multiple field keys."""
result = Event.map(self._get_event_series(), ['in', 'out'])
self.assertEqual(set(result), set({'out': [11, 13, 15, 18], 'in': [2, 4, 6, 8]}))
def test_new_same(self):
"""trigger an error for coverage."""
self.assertFalse(Event.same(EVENT_LIST[0], IDX_EVENT_DUP[0]))
