def testSetSentencesOnSentenceGroup_NoSentences(self):
"""Tests that the hydrated StateIncarcerationSentences and StateSupervisionSentences are set on the
StateSentenceGroup."""
sentence_group = StateSentenceGroup.new_with_defaults(
incarceration_sentences=[], supervision_sentences=[])
person_and_entities = ({
'incarceration_sentences': [],
'supervision_sentences': [],
'sentence_groups': [sentence_group]
})
expected_sentence_group = StateSentenceGroup.new_with_defaults(
incarceration_sentences=[], supervision_sentences=[])
test_pipeline = TestPipeline()
output = (
test_pipeline
| beam.Create([(12345, person_and_entities)])
|
'Set Incarceration and Supervision Sentences on SentenceGroups' >>
beam.ParDo(entity_hydration_utils.SetSentencesOnSentenceGroup()))
assert_that(output, equal_to([(12345, expected_sentence_group)]))
test_pipeline.run()
def testSetSentencesOnSentenceGroup_NoSentences(self):
"""Tests that the hydrated StateIncarcerationSentences and StateSupervisionSentences are set on the
StateSentenceGroup."""
sentence_group = StateSentenceGroup.new_with_defaults(
state_code="US_XX",
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
incarceration_sentences=[],
supervision_sentences=[],
)
person_and_entities = {
"incarceration_sentences": [],
"supervision_sentences": [],
"sentence_groups": [sentence_group],
}
expected_sentence_group = StateSentenceGroup.new_with_defaults(
state_code="US_XX",
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
incarceration_sentences=[],
supervision_sentences=[],
)
test_pipeline = TestPipeline()
output = (
test_pipeline
| beam.Create([(12345, person_and_entities)])
|
"Set Incarceration and Supervision Sentences on SentenceGroups" >>
beam.ParDo(entity_hydration_utils.SetSentencesOnSentenceGroup()))
assert_that(output, equal_to([(12345, expected_sentence_group)]))
test_pipeline.run()
def testSetSentencesOnSentenceGroup(self):
"""Tests that the hydrated StateIncarcerationSentences and StateSupervisionSentences are set on the
StateSentenceGroup."""
incarceration_sentence_id = 123
supervision_sentence_id = 456
hydrated_incarceration_sentence = StateIncarcerationSentence.new_with_defaults(
incarceration_sentence_id=incarceration_sentence_id,
start_date=date(2000, 1, 1),
charges=[StateCharge.new_with_defaults(ncic_code='1234')],
incarceration_periods=[
StateIncarcerationPeriod.new_with_defaults(
admission_date=date(2000, 3, 2))
])
hydrated_supervision_sentence = StateSupervisionSentence.new_with_defaults(
supervision_sentence_id=supervision_sentence_id,
start_date=date(2000, 1, 1),
charges=[StateCharge.new_with_defaults(ncic_code='1234')],
incarceration_periods=[
StateIncarcerationPeriod.new_with_defaults(
admission_date=date(2000, 3, 2))
])
sentence_group = StateSentenceGroup.new_with_defaults(
incarceration_sentences=[
StateIncarcerationSentence.new_with_defaults(
incarceration_sentence_id=incarceration_sentence_id)
],
supervision_sentences=[
StateSupervisionSentence.new_with_defaults(
supervision_sentence_id=supervision_sentence_id)
])
person_and_entities = ({
'incarceration_sentences': [hydrated_incarceration_sentence],
'supervision_sentences': [hydrated_supervision_sentence],
'sentence_groups': [sentence_group]
})
hydrated_incarceration_sentence_with_group = StateIncarcerationSentence.new_with_defaults(
incarceration_sentence_id=incarceration_sentence_id,
start_date=date(2000, 1, 1),
charges=[StateCharge.new_with_defaults(ncic_code='1234')],
incarceration_periods=[
StateIncarcerationPeriod.new_with_defaults(
admission_date=date(2000, 3, 2))
])
hydrated_supervision_sentence_with_group = StateSupervisionSentence.new_with_defaults(
supervision_sentence_id=supervision_sentence_id,
start_date=date(2000, 1, 1),
charges=[StateCharge.new_with_defaults(ncic_code='1234')],
incarceration_periods=[
StateIncarcerationPeriod.new_with_defaults(
admission_date=date(2000, 3, 2))
])
expected_sentence_group = StateSentenceGroup.new_with_defaults(
incarceration_sentences=[
hydrated_incarceration_sentence_with_group
],
supervision_sentences=[hydrated_supervision_sentence_with_group])
hydrated_incarceration_sentence_with_group.sentence_group = expected_sentence_group
hydrated_supervision_sentence_with_group.sentence_group = expected_sentence_group
test_pipeline = TestPipeline()
output = (
test_pipeline
| beam.Create([(12345, person_and_entities)])
|
'Set Incarceration and Supervision Sentences on SentenceGroups' >>
beam.ParDo(entity_hydration_utils.SetSentencesOnSentenceGroup()))
assert_that(output, equal_to([(12345, expected_sentence_group)]))
test_pipeline.run()
def testSetSentencesOnSentenceGroup(self):
"""Tests that the hydrated StateIncarcerationSentences and StateSupervisionSentences are set on the
StateSentenceGroup."""
incarceration_sentence_id = 123
supervision_sentence_id = 456
hydrated_incarceration_sentence = StateIncarcerationSentence.new_with_defaults(
state_code="US_XX",
incarceration_sentence_id=incarceration_sentence_id,
start_date=date(2000, 1, 1),
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
charges=[
StateCharge.new_with_defaults(
state_code="US_XX",
status=ChargeStatus.PRESENT_WITHOUT_INFO,
ncic_code="1234",
)
],
incarceration_periods=[
StateIncarcerationPeriod.new_with_defaults(
state_code="US_XX",
admission_date=date(2000, 3, 2),
status=StateIncarcerationPeriodStatus.PRESENT_WITHOUT_INFO,
)
],
)
hydrated_supervision_sentence = StateSupervisionSentence.new_with_defaults(
state_code="US_XX",
supervision_sentence_id=supervision_sentence_id,
start_date=date(2000, 1, 1),
charges=[
StateCharge.new_with_defaults(
state_code="US_XX",
status=ChargeStatus.PRESENT_WITHOUT_INFO,
ncic_code="1234",
)
],
incarceration_periods=[
StateIncarcerationPeriod.new_with_defaults(
state_code="US_XX",
admission_date=date(2000, 3, 2),
status=StateIncarcerationPeriodStatus.PRESENT_WITHOUT_INFO,
)
],
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
)
sentence_group = StateSentenceGroup.new_with_defaults(
state_code="US_XX",
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
incarceration_sentences=[
StateIncarcerationSentence.new_with_defaults(
state_code="US_XX",
incarceration_sentence_id=incarceration_sentence_id,
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
)
],
supervision_sentences=[
StateSupervisionSentence.new_with_defaults(
state_code="US_XX",
supervision_sentence_id=supervision_sentence_id,
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
)
],
)
person_and_entities = {
"incarceration_sentences": [hydrated_incarceration_sentence],
"supervision_sentences": [hydrated_supervision_sentence],
"sentence_groups": [sentence_group],
}
hydrated_incarceration_sentence_with_group = (
StateIncarcerationSentence.new_with_defaults(
state_code="US_XX",
incarceration_sentence_id=incarceration_sentence_id,
start_date=date(2000, 1, 1),
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
charges=[
StateCharge.new_with_defaults(
state_code="US_XX",
status=ChargeStatus.PRESENT_WITHOUT_INFO,
ncic_code="1234",
)
],
incarceration_periods=[
StateIncarcerationPeriod.new_with_defaults(
state_code="US_XX",
admission_date=date(2000, 3, 2),
status=StateIncarcerationPeriodStatus.
PRESENT_WITHOUT_INFO,
)
],
))
hydrated_supervision_sentence_with_group = (
StateSupervisionSentence.new_with_defaults(
state_code="US_XX",
supervision_sentence_id=supervision_sentence_id,
start_date=date(2000, 1, 1),
charges=[
StateCharge.new_with_defaults(
state_code="US_XX",
status=ChargeStatus.PRESENT_WITHOUT_INFO,
ncic_code="1234",
)
],
incarceration_periods=[
StateIncarcerationPeriod.new_with_defaults(
state_code="US_XX",
admission_date=date(2000, 3, 2),
status=StateIncarcerationPeriodStatus.
PRESENT_WITHOUT_INFO,
)
],
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
))
expected_sentence_group = StateSentenceGroup.new_with_defaults(
state_code="US_XX",
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
incarceration_sentences=[
hydrated_incarceration_sentence_with_group
],
supervision_sentences=[hydrated_supervision_sentence_with_group],
)
hydrated_incarceration_sentence_with_group.sentence_group = (
expected_sentence_group)
hydrated_supervision_sentence_with_group.sentence_group = (
expected_sentence_group)
test_pipeline = TestPipeline()
output = (
test_pipeline
| beam.Create([(12345, person_and_entities)])
|
"Set Incarceration and Supervision Sentences on SentenceGroups" >>
beam.ParDo(entity_hydration_utils.SetSentencesOnSentenceGroup()))
assert_that(output, equal_to([(12345, expected_sentence_group)]))
test_pipeline.run()
def testSetSentencesOnSentenceGroupMultipleSGs(self):
"""Tests that the hydrated StateIncarcerationSentences and
StateSupervisionSentences are set on the appropriate StateSentenceGroup."""
incarceration_sentence_id_1 = 123
incarceration_sentence_id_2 = 456
supervision_sentence_id = 789
hydrated_incarceration_sentence_1 = (
StateIncarcerationSentence.new_with_defaults(
state_code="US_XX",
incarceration_sentence_id=incarceration_sentence_id_1,
start_date=date(2000, 1, 1),
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
charges=[
StateCharge.new_with_defaults(
state_code="US_XX",
status=ChargeStatus.PRESENT_WITHOUT_INFO,
ncic_code="1234",
)
],
))
hydrated_incarceration_sentence_2 = (
StateIncarcerationSentence.new_with_defaults(
state_code="US_XX",
incarceration_sentence_id=incarceration_sentence_id_2,
start_date=date(2000, 1, 1),
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
charges=[
StateCharge.new_with_defaults(
state_code="US_XX",
status=ChargeStatus.PRESENT_WITHOUT_INFO,
ncic_code="5678",
)
],
incarceration_periods=[
StateIncarcerationPeriod.new_with_defaults(
state_code="US_XX",
admission_date=date(2000, 3, 2),
status=StateIncarcerationPeriodStatus.
PRESENT_WITHOUT_INFO,
)
],
))
hydrated_supervision_sentence = StateSupervisionSentence.new_with_defaults(
state_code="US_XX",
supervision_sentence_id=supervision_sentence_id,
start_date=date(2000, 1, 1),
charges=[
StateCharge.new_with_defaults(
state_code="US_XX",
status=ChargeStatus.PRESENT_WITHOUT_INFO,
ncic_code="1234",
)
],
incarceration_periods=[
StateIncarcerationPeriod.new_with_defaults(
state_code="US_XX",
admission_date=date(2000, 3, 2),
status=StateIncarcerationPeriodStatus.PRESENT_WITHOUT_INFO,
)
],
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
)
sentence_group_1 = StateSentenceGroup.new_with_defaults(
state_code="US_XX",
sentence_group_id=111,
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
incarceration_sentences=[
StateIncarcerationSentence.new_with_defaults(
state_code="US_XX",
incarceration_sentence_id=incarceration_sentence_id_1,
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
)
],
)
sentence_group_2 = StateSentenceGroup.new_with_defaults(
state_code="US_XX",
sentence_group_id=222,
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
incarceration_sentences=[
StateIncarcerationSentence.new_with_defaults(
state_code="US_XX",
incarceration_sentence_id=incarceration_sentence_id_2,
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
)
],
supervision_sentences=[
StateSupervisionSentence.new_with_defaults(
state_code="US_XX",
supervision_sentence_id=supervision_sentence_id,
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
)
],
)
person_and_entities = {
"incarceration_sentences": [
hydrated_incarceration_sentence_1,
hydrated_incarceration_sentence_2,
],
"supervision_sentences": [hydrated_supervision_sentence],
"sentence_groups": [sentence_group_1, sentence_group_2],
}
hydrated_incarceration_sentence_1_with_group = attr.evolve(
hydrated_incarceration_sentence_1)
hydrated_incarceration_sentence_2_with_group = attr.evolve(
hydrated_incarceration_sentence_2)
hydrated_supervision_sentence_with_group = attr.evolve(
hydrated_supervision_sentence)
expected_sentence_group_1 = attr.evolve(
sentence_group_1,
incarceration_sentences=[
hydrated_incarceration_sentence_1_with_group
],
)
expected_sentence_group_2 = attr.evolve(
sentence_group_2,
incarceration_sentences=[
hydrated_incarceration_sentence_2_with_group
],
supervision_sentences=[hydrated_supervision_sentence_with_group],
)
hydrated_incarceration_sentence_1_with_group.sentence_group = (
expected_sentence_group_1)
hydrated_incarceration_sentence_2_with_group.sentence_group = (
expected_sentence_group_2)
hydrated_supervision_sentence_with_group.sentence_group = (
expected_sentence_group_2)
test_pipeline = TestPipeline()
output = (
test_pipeline
| beam.Create([(12345, person_and_entities)])
|
"Set Incarceration and Supervision Sentences on SentenceGroups" >>
beam.ParDo(entity_hydration_utils.SetSentencesOnSentenceGroup()))
assert_that(
output,
equal_to([(12345, expected_sentence_group_1),
(12345, expected_sentence_group_2)]),
)
test_pipeline.run()
