def test_build(self):
tokenized_query = ExperimentQueryManager.tokenize(self.query1)
parsed_query = ExperimentQueryManager.parse(tokenized_query)
built_query = ExperimentQueryManager.build(parsed_query)
assert built_query == {
'updated_at': [
QueryCondSpec(DateTimeCondition(op='<=', negation=False),
params='2020-10-10')
],
'started_at': [
QueryCondSpec(DateTimeCondition(op='>', negation=False),
params='2010-10-10'),
QueryCondSpec(DateTimeCondition(op='=', negation=True),
params='2016-10-01')
],
}
tokenized_query = ExperimentQueryManager.tokenize(self.query2)
parsed_query = ExperimentQueryManager.parse(tokenized_query)
built_query = ExperimentQueryManager.build(parsed_query)
assert built_query == {
'metric__loss': [
QueryCondSpec(ComparisonCondition(op='<=', negation=False),
params=0.8)
],
'status': [
QueryCondSpec(ValueCondition(op='|', negation=False),
params=['starting', 'running'])
],
}
tokenized_query = ExperimentQueryManager.tokenize(self.query3)
parsed_query = ExperimentQueryManager.parse(tokenized_query)
built_query = ExperimentQueryManager.build(parsed_query)
assert built_query == {
'finished_at': [
QueryCondSpec(DateTimeCondition(op='..', negation=False),
params=['2012-12-12', '2042-12-12'])
],
}
tokenized_query = ExperimentQueryManager.tokenize(self.query4)
parsed_query = ExperimentQueryManager.parse(tokenized_query)
built_query = ExperimentQueryManager.build(parsed_query)
assert built_query == {
'tags': [
QueryCondSpec(ArrayCondition(op='|', negation=True),
params=['tag1', 'tag2']),
QueryCondSpec(ArrayCondition(op='=', negation=False),
params='tag3')
],
}
def test_range_apply(self):
ExperimentFactory(declarations={'rate': 1, 'loss': 'foo'})
ExperimentFactory(declarations={'rate': -1, 'loss': 'bar'})
ExperimentFactory(declarations={'rate': 11.1, 'loss': 'moo'})
eq_cond = ValueCondition(op='eq')
neq_cond = ValueCondition(op='eq', negation=True)
in_cond = ValueCondition(op='in')
nin_cond = ValueCondition(op='in', negation=True)
# eq
queryset = eq_cond.apply(queryset=Experiment.objects,
name='declarations__loss',
params='foo')
assert queryset.count() == 1
queryset = eq_cond.apply(queryset=Experiment.objects,
name='declarations__rate',
params=0.2)
assert queryset.count() == 0
queryset = eq_cond.apply(queryset=Experiment.objects,
name='declarations__rate',
params=11.1)
assert queryset.count() == 1
# neq
queryset = neq_cond.apply(queryset=Experiment.objects,
name='declarations__loss',
params='foo')
assert queryset.count() == 2
queryset = neq_cond.apply(queryset=Experiment.objects,
name='declarations__rate',
params=0.2)
assert queryset.count() == 3
queryset = neq_cond.apply(queryset=Experiment.objects,
name='declarations__rate',
params=11.1)
assert queryset.count() == 2
# in
queryset = in_cond.apply(queryset=Experiment.objects,
name='declarations__loss',
params=['foo', 'bar'])
assert queryset.count() == 2
queryset = in_cond.apply(queryset=Experiment.objects,
name='declarations__rate',
params=[0.2, 11.1])
assert queryset.count() == 1
queryset = in_cond.apply(queryset=Experiment.objects,
name='declarations__loss',
params=['lll', 'ppp'])
assert queryset.count() == 0
queryset = in_cond.apply(queryset=Experiment.objects,
name='declarations__loss',
params=['lll', 'ppp', 'foo', 'bar', 'moo'])
assert queryset.count() == 3
# in
queryset = nin_cond.apply(queryset=Experiment.objects,
name='declarations__loss',
params=['foo', 'bar'])
assert queryset.count() == 1
queryset = nin_cond.apply(queryset=Experiment.objects,
name='declarations__rate',
params=[0.2, 11.1])
assert queryset.count() == 2
queryset = nin_cond.apply(queryset=Experiment.objects,
name='declarations__loss',
params=['lll', 'ppp'])
assert queryset.count() == 3
queryset = nin_cond.apply(queryset=Experiment.objects,
name='declarations__loss',
params=['lll', 'ppp', 'foo', 'bar', 'moo'])
assert queryset.count() == 0
def test_value_operators(self):
op = ValueCondition._in_operator('field', ['v1', 'v2'])
assert op == Q(field__in=['v1', 'v2'])
op = ValueCondition._nin_operator('field', ['v1', 'v2'])
assert op == ~Q(field__in=['v1', 'v2'])