def test_good(self):
context = ExecutionContext()
source = [{
'metric': 'A',
'limit': 100.0,
'usage': 0.0
}, {
'metric': 'B',
'limit': 100.0,
'usage': 90.0
}, {
'metric': 'C',
'limit': 100.0,
'usage': 100.0
}]
require = {'A': 95.0, 'B': 10.0}
pred = QuotaPredicate(require)
builder = KeyedPredicateResultBuilder(pred)
builder.add_result(
'A', make_quota_result(context, True, source, require, 'A'))
builder.add_result(
'B', make_quota_result(context, True, source, require, 'B'))
builder.comment = 'Satisfied all 2 metrics.'
result = pred(context, source)
self.assertTrue(result)
self.assertEqual(result, builder.build(True))
def test_bad(self):
context = ExecutionContext()
source = [{
'metric': 'A',
'limit': 100.0,
'usage': 0.0
}, {
'metric': 'B',
'limit': 100.0,
'usage': 90.0
}, {
'metric': 'C',
'limit': 100.0,
'usage': 100.0
}]
require = {'A': 95.0, 'B': 15.0}
pred = QuotaPredicate(require)
builder = KeyedPredicateResultBuilder(pred)
builder.add_result(
'A', make_quota_result(context, True, source, require, 'A'))
builder.add_result(
'B', make_quota_result(context, False, source, require, 'B'))
builder.comment = 'Insufficient C.'
result = pred(context, source)
self.assertFalse(result)
def __call__(self, context, value):
"""Implements ValuePredicate.
Args:
context: [ExecutionContext] The execution context to evaluate within.
values: [array of dict] A list of dictionary resource quota descriptions
following the format returned described by the "quotas" attribute of
https://cloud.google.com/compute/docs/reference/latest/projects#resource
"""
builder = KeyedPredicateResultBuilder(self)
# NOTE(20180710):
# b/111302333: get() because 'metric' is not always provided.
dictified = {elem.get('metric'): elem for elem in value}
bad_metrics = []
for metric, expect in self.__minimum_quota.items():
found = dictified.get(metric)
if found is None:
bad_metrics.append(metric)
builder.add_result(
metric,
PathValueResult(source=None,
target_path='metric',
path_value=PathValue('', value),
valid=False,
pred=EQUIVALENT(metric),
comment='Missing metric value.'))
continue
pred = PathPredicate('',
pred=NUM_GE(expect),
transform=self.__diff)
result = pred(context, found)
builder.add_result(metric, result)
if not result:
bad_metrics.append(metric)
if bad_metrics:
builder.comment = 'Insufficient {0}.'.format(
' and '.join(bad_metrics))
valid = False
else:
valid = True
builder.comment = 'Satisfied all {0} metrics.'.format(
len(self.__minimum_quota))
return builder.build(valid)
def test_good(self):
context = ExecutionContext()
source = [{'metric': 'A', 'limit': 100.0, 'usage': 0.0},
{'metric': 'B', 'limit': 100.0, 'usage': 90.0},
{'metric': 'C', 'limit': 100.0, 'usage': 100.0}]
require = {'A': 95.0, 'B': 10.0}
pred = QuotaPredicate(require)
builder = KeyedPredicateResultBuilder(pred)
builder.add_result(
'A', make_quota_result(context, True, source, require, 'A'))
builder.add_result(
'B', make_quota_result(context, True, source, require, 'B'))
builder.comment = 'Satisfied all 2 metrics.'
result = pred(context, source)
self.assertTrue(result)
self.assertEqual(result, builder.build(True))
def __call__(self, context, value):
"""Implements ValuePredicate.
Args:
context: [ExecutionContext] The execution context to evaluate within.
values: [array of dict] A list of dictionary resource quota descriptions
following the format returned described by the "quotas" attribute of
https://cloud.google.com/compute/docs/reference/latest/projects#resource
"""
builder = KeyedPredicateResultBuilder(self)
# NOTE(20180710):
# b/111302333: get() because 'metric' is not always provided.
dictified = {elem.get('metric'): elem for elem in value}
bad_metrics = []
for metric, expect in self.__minimum_quota.items():
found = dictified.get(metric)
if found is None:
bad_metrics.append(metric)
builder.add_result(
metric,
PathValueResult(source=None, target_path='metric',
path_value=PathValue('', value),
valid=False, pred=EQUIVALENT(metric),
comment='Missing metric value.'))
continue
pred = PathPredicate('', pred=NUM_GE(expect), transform=self.__diff)
result = pred(context, found)
builder.add_result(metric, result)
if not result:
bad_metrics.append(metric)
if bad_metrics:
builder.comment = 'Insufficient {0}.'.format(' and '.join(bad_metrics))
valid = False
else:
valid = True
builder.comment = 'Satisfied all {0} metrics.'.format(
len(self.__minimum_quota))
return builder.build(valid)
def test_bad(self):
context = ExecutionContext()
source = [{'metric': 'A', 'limit': 100.0, 'usage': 0.0},
{'metric': 'B', 'limit': 100.0, 'usage': 90.0},
{'metric': 'C', 'limit': 100.0, 'usage': 100.0}]
require = {'A': 95.0, 'B': 15.0}
pred = QuotaPredicate(require)
builder = KeyedPredicateResultBuilder(pred)
builder.add_result(
'A', make_quota_result(context, True, source, require, 'A'))
builder.add_result(
'B', make_quota_result(context, False, source, require, 'B'))
builder.comment = 'Insufficient C.'
result = pred(context, source)
self.assertFalse(result)
