def test_map_program_combinations_calculation_month_count_36(self):
person = StatePerson.new_with_defaults(person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE)
race = StatePersonRace.new_with_defaults(state_code='US_ND',
race=Race.WHITE)
person.races = [race]
ethnicity = StatePersonEthnicity.new_with_defaults(
state_code='US_ND',
ethnicity=Ethnicity.NOT_HISPANIC)
person.ethnicities = [ethnicity]
included_event = ProgramReferralEvent(
state_code='US_ND',
event_date=date(2012, 12, 10),
program_id='XXX'
)
not_included_event = ProgramReferralEvent(
state_code='US_ND',
event_date=date(2009, 12, 10),
program_id='ZZZ'
)
program_events = [included_event, not_included_event]
program_combinations = calculator.map_program_combinations(
person, program_events, ALL_METRICS_INCLUSIONS_DICT,
calculation_end_month=None,
calculation_month_count=36,
person_metadata=_DEFAULT_PERSON_METADATA
)
expected_combinations_count = expected_metric_combos_count(
[included_event], len(calculator_utils.METRIC_PERIOD_MONTHS))
self.assertEqual(expected_combinations_count, len(program_combinations))
assert all(value == 1 for _combination, value in program_combinations)
def test_map_program_combinations_full_info_probation(self):
person = StatePerson.new_with_defaults(person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE)
race = StatePersonRace.new_with_defaults(state_code='US_ND',
race=Race.WHITE)
person.races = [race]
ethnicity = StatePersonEthnicity.new_with_defaults(
state_code='US_ND', ethnicity=Ethnicity.NOT_HISPANIC)
person.ethnicities = [ethnicity]
event_date = date(2009, 10, 31)
program_events = [
ProgramReferralEvent(
state_code='US_ND',
event_date=event_date,
program_id='XXX',
supervision_type=StateSupervisionType.PROBATION,
assessment_score=22,
assessment_type=StateAssessmentType.LSIR,
supervising_officer_external_id='OFFICERZ',
supervising_district_external_id='135')
]
program_combinations = calculator.map_program_combinations(
person,
program_events,
ALL_METRICS_INCLUSIONS_DICT,
calculation_end_month='2009-10',
calculation_month_count=-1)
expected_combinations_count = expected_metric_combos_count(
program_events)
self.assertEqual(expected_combinations_count,
len(program_combinations))
assert all(value == 1 for _combination, value in program_combinations)
def test_map_program_combinations(self):
person = StatePerson.new_with_defaults(
state_code="US_ND",
person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE,
)
race = StatePersonRace.new_with_defaults(state_code="US_ND",
race=Race.WHITE)
person.races = [race]
ethnicity = StatePersonEthnicity.new_with_defaults(
state_code="US_ND", ethnicity=Ethnicity.NOT_HISPANIC)
person.ethnicities = [ethnicity]
program_events = [
ProgramReferralEvent(state_code="US_ND",
event_date=date(2019, 10, 10),
program_id="XXX"),
ProgramParticipationEvent(state_code="US_ND",
event_date=date(2019, 2, 2),
program_id="ZZZ"),
]
program_combinations = calculator.map_program_combinations(
person,
program_events,
ALL_METRICS_INCLUSIONS_DICT,
calculation_end_month=None,
calculation_month_count=-1,
person_metadata=_DEFAULT_PERSON_METADATA,
)
expected_combinations_count = expected_metric_combos_count(
program_events)
self.assertEqual(expected_combinations_count,
len(program_combinations))
assert all(value == 1 for _combination, value in program_combinations)
def setUp(self) -> None:
self.state_code = "US_ND"
self.person = StatePerson.new_with_defaults(
state_code=self.state_code,
person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE,
)
self.race = StatePersonRace.new_with_defaults(
state_code=self.state_code, race=Race.WHITE)
self.person.races = [self.race]
self.ethnicity = StatePersonEthnicity.new_with_defaults(
state_code=self.state_code, ethnicity=Ethnicity.NOT_HISPANIC)
self.person.ethnicities = [self.ethnicity]
self.metric_producer = metric_producer.ViolationMetricProducer()
self.pipeline_config = pipeline.ViolationPipeline().pipeline_config
def test_produce_program_metrics(self) -> None:
person = StatePerson.new_with_defaults(
state_code="US_ND",
person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE,
)
race = StatePersonRace.new_with_defaults(state_code="US_ND", race=Race.WHITE)
person.races = [race]
ethnicity = StatePersonEthnicity.new_with_defaults(
state_code="US_ND", ethnicity=Ethnicity.NOT_HISPANIC
)
person.ethnicities = [ethnicity]
program_events = [
ProgramReferralEvent(
state_code="US_ND", event_date=date(2019, 10, 10), program_id="XXX"
),
ProgramParticipationEvent(
state_code="US_ND", event_date=date(2019, 2, 2), program_id="ZZZ"
),
]
metrics = self.metric_producer.produce_metrics(
person,
program_events,
ALL_METRICS_INCLUSIONS_DICT,
calculation_end_month=None,
calculation_month_count=-1,
person_metadata=_DEFAULT_PERSON_METADATA,
pipeline_job_id=PIPELINE_JOB_ID,
pipeline_type=self.pipeline_config.pipeline_type,
)
expected_count = expected_metrics_count(program_events)
self.assertEqual(expected_count, len(metrics))
def test_map_program_combinations_relevant_periods(self):
person = StatePerson.new_with_defaults(person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE)
race = StatePersonRace.new_with_defaults(state_code='US_ND',
race=Race.WHITE)
person.races = [race]
ethnicity = StatePersonEthnicity.new_with_defaults(
state_code='US_ND',
ethnicity=Ethnicity.NOT_HISPANIC)
person.ethnicities = [ethnicity]
program_events = [
ProgramReferralEvent(
state_code='US_ND',
event_date=date(2007, 12, 7),
program_id='XXX',
supervision_type=StateSupervisionType.PAROLE,
assessment_score=22,
assessment_type=StateAssessmentType.LSIR,
supervising_officer_external_id='OFFICERZ',
supervising_district_external_id='135'
)
]
program_combinations = calculator.map_program_combinations(
person, program_events, ALL_METRICS_INCLUSIONS_DICT,
calculation_end_month=None,
calculation_month_count=-1,
person_metadata=_DEFAULT_PERSON_METADATA
)
expected_combinations_count = expected_metric_combos_count(
program_events, len(calculator_utils.METRIC_PERIOD_MONTHS))
self.assertEqual(expected_combinations_count, len(program_combinations))
assert all(value == 1 for _combination, value in program_combinations)
def test_map_incarceration_combinations_release_relevant_periods(self):
person = StatePerson.new_with_defaults(person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE)
race = StatePersonRace.new_with_defaults(state_code='CA',
race=Race.WHITE)
person.races = [race]
ethnicity = StatePersonEthnicity.new_with_defaults(
state_code='CA', ethnicity=Ethnicity.NOT_HISPANIC)
person.ethnicities = [ethnicity]
incarceration_event = IncarcerationReleaseEvent(
state_code='CA',
event_date=date(2010, 10, 2),
facility='SAN QUENTIN',
county_of_residence=_COUNTY_OF_RESIDENCE,
)
incarceration_events = [incarceration_event]
incarceration_combinations = calculator.map_incarceration_combinations(
person=person,
incarceration_events=incarceration_events,
inclusions=ALL_INCLUSIONS_DICT,
calculation_month_limit=-1)
expected_combinations_count = expected_metric_combos_count(
person, incarceration_events, ALL_INCLUSIONS_DICT, 0,
len(calculator_utils.METRIC_PERIOD_MONTHS))
self.assertEqual(expected_combinations_count,
len(incarceration_combinations))
assert all(value == 1
for _combination, value in incarceration_combinations)
for combo, _ in incarceration_combinations:
assert combo.get('year') == 2010
def test_add_demographic_characteristics(self):
characteristics = {}
person = StatePerson.new_with_defaults(
person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE,
races=[StatePersonRace.new_with_defaults(race=Race.ASIAN)])
event_date = date(2010, 9, 1)
updated_characteristics = add_demographic_characteristics(
characteristics, person, event_date)
expected_output = {
'age_bucket': '25-29',
'race': [Race.ASIAN],
'gender': Gender.FEMALE
}
self.assertEqual(updated_characteristics, expected_output)
def test_add_person_characteristics_IncludeSecondaryExternalId(self):
person = StatePerson.new_with_defaults(
state_code="US_XX",
person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE,
races=[StatePersonRace.new_with_defaults(state_code="US_XX", )],
ethnicities=[
StatePersonEthnicity.new_with_defaults(state_code="US_XX", )
],
external_ids=[
StatePersonExternalId.new_with_defaults(external_id="DOC1341",
id_type="US_XX_DOC",
state_code="US_XX"),
StatePersonExternalId.new_with_defaults(external_id="SID9889",
id_type="US_XX_SID",
state_code="US_XX"),
],
)
event_date = date(2010, 9, 1)
person_metadata = PersonMetadata()
updated_characteristics = person_characteristics(
person,
event_date,
person_metadata,
"test_pipeline",
)
expected_output = {
"age_bucket": "25-29",
"gender": Gender.FEMALE,
"person_id": person.person_id,
"person_external_id": "DOC1341",
"secondary_person_external_id": "SID9889",
}
self.assertEqual(updated_characteristics, expected_output)
def test_produce_incarceration_metrics_calculation_month_count_exclude(
self):
person = StatePerson.new_with_defaults(
state_code="US_XX",
person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE,
)
race = StatePersonRace.new_with_defaults(state_code="US_XX",
race=Race.WHITE)
person.races = [race]
ethnicity = StatePersonEthnicity.new_with_defaults(
state_code="US_XX", ethnicity=Ethnicity.NOT_HISPANIC)
person.ethnicities = [ethnicity]
incarceration_event = IncarcerationStandardAdmissionEvent(
state_code="US_XX",
event_date=date(1990, 3, 12),
facility="FACILITY X",
county_of_residence=_COUNTY_OF_RESIDENCE,
)
incarceration_events = [incarceration_event]
metrics = self.metric_producer.produce_metrics(
person=person,
identifier_events=incarceration_events,
metric_inclusions=ALL_METRICS_INCLUSIONS_DICT,
calculation_end_month=None,
calculation_month_count=1,
person_metadata=_DEFAULT_PERSON_METADATA,
pipeline_job_id=PIPELINE_JOB_ID,
pipeline_type=self.pipeline_config.pipeline_type,
)
self.assertEqual(0, len(metrics))
def test_add_person_characteristics_EmptyRaceEthnicity(self):
person = StatePerson.new_with_defaults(
person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE,
races=[StatePersonRace.new_with_defaults()],
ethnicities=[StatePersonEthnicity.new_with_defaults()])
event_date = date(2010, 9, 1)
person_metadata = PersonMetadata()
updated_characteristics = person_characteristics(
person, event_date, person_metadata, 'pipeline')
expected_output = {
'age_bucket': '25-29',
'gender': Gender.FEMALE,
'person_id': person.person_id
}
self.assertEqual(updated_characteristics, expected_output)
def test_map_incarceration_combinations_calculation_month_count_exclude(
self):
person = StatePerson.new_with_defaults(
state_code="CA",
person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE,
)
race = StatePersonRace.new_with_defaults(state_code="CA",
race=Race.WHITE)
person.races = [race]
ethnicity = StatePersonEthnicity.new_with_defaults(
state_code="CA", ethnicity=Ethnicity.NOT_HISPANIC)
person.ethnicities = [ethnicity]
incarceration_event = IncarcerationAdmissionEvent(
state_code="CA",
event_date=date(1990, 3, 12),
facility="SAN QUENTIN",
county_of_residence=_COUNTY_OF_RESIDENCE,
)
incarceration_events = [incarceration_event]
incarceration_combinations = calculator.map_incarceration_combinations(
person=person,
incarceration_events=incarceration_events,
metric_inclusions=ALL_METRICS_INCLUSIONS_DICT,
calculation_end_month=None,
calculation_month_count=1,
person_metadata=_DEFAULT_PERSON_METADATA,
)
self.assertEqual(0, len(incarceration_combinations))
def test_build_person_metadata(self):
person = StatePerson.new_with_defaults(state_code='US_XX',
person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE)
race = StatePersonRace.new_with_defaults(state_code='US_XX',
race=Race.WHITE)
person.races = [race]
ethnicity = StatePersonEthnicity.new_with_defaults(
state_code='US_XX', ethnicity=Ethnicity.NOT_HISPANIC)
person.ethnicities = [ethnicity]
person_metadata = build_person_metadata(
person, self.state_race_ethnicity_population_counts)
expected_person_metadata = PersonMetadata(
prioritized_race_or_ethnicity=Race.WHITE.value)
self.assertEqual(expected_person_metadata, person_metadata)
def test_add_person_characteristics(self):
person = StatePerson.new_with_defaults(
state_code='US_XX',
person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE,
races=[StatePersonRace.new_with_defaults(race=Race.ASIAN)])
event_date = date(2010, 9, 1)
person_metadata = PersonMetadata(prioritized_race_or_ethnicity='ASIAN')
updated_characteristics = person_characteristics(
person, event_date, person_metadata, 'pipeline')
expected_output = {
'person_id': person.person_id,
'age_bucket': '25-29',
'race': [Race.ASIAN],
'prioritized_race_or_ethnicity': 'ASIAN',
'gender': Gender.FEMALE
}
self.assertEqual(updated_characteristics, expected_output)
def test_for_characteristics_races_ethnicities_one_race_one_ethnicity():
race_white = StatePersonRace.new_with_defaults(state_code='CA',
race=Race.WHITE)
ethnicity_hispanic = StatePersonEthnicity.new_with_defaults(
state_code='CA', ethnicity=Ethnicity.HISPANIC)
characteristics = {'gender': 'female', 'age': '<25'}
combinations = calculator_utils.for_characteristics_races_ethnicities(
[race_white], [ethnicity_hispanic], characteristics)
assert combinations == [
{},
{
'gender': 'female'
},
{
'age': '<25'
},
{
'gender': 'female',
'age': '<25'
},
{
'race': Race.WHITE
},
{
'race': Race.WHITE,
'gender': 'female'
},
{
'age': '<25',
'race': Race.WHITE
},
{
'age': '<25',
'race': Race.WHITE,
'gender': 'female'
},
{
'ethnicity': Ethnicity.HISPANIC
},
{
'ethnicity': Ethnicity.HISPANIC,
'gender': 'female'
},
{
'age': '<25',
'ethnicity': Ethnicity.HISPANIC
},
{
'age': '<25',
'ethnicity': Ethnicity.HISPANIC,
'gender': 'female'
},
{
'race': Race.WHITE,
'ethnicity': Ethnicity.HISPANIC
},
{
'race': Race.WHITE,
'ethnicity': Ethnicity.HISPANIC,
'gender': 'female'
},
{
'age': '<25',
'race': Race.WHITE,
'ethnicity': Ethnicity.HISPANIC
},
{
'race': Race.WHITE,
'ethnicity': Ethnicity.HISPANIC,
'age': '<25',
'gender': 'female'
},
]
def test_map_program_combinations_relevant_periods_multiple_supervisions(self):
person = StatePerson.new_with_defaults(person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE)
race = StatePersonRace.new_with_defaults(state_code='US_ND',
race=Race.WHITE)
person.races = [race]
ethnicity = StatePersonEthnicity.new_with_defaults(
state_code='US_ND',
ethnicity=Ethnicity.NOT_HISPANIC)
person.ethnicities = [ethnicity]
program_events = [
ProgramReferralEvent(
state_code='US_ND',
event_date=date(2007, 1, 7),
program_id='XXX',
supervision_type=StateSupervisionType.PAROLE,
assessment_score=22,
assessment_type=StateAssessmentType.LSIR,
supervising_officer_external_id='OFFICERZ',
supervising_district_external_id='135'
),
ProgramReferralEvent(
state_code='US_ND',
event_date=date(2007, 1, 11),
program_id='XXX',
supervision_type=StateSupervisionType.PROBATION,
assessment_score=22,
assessment_type=StateAssessmentType.LSIR,
supervising_officer_external_id='OFFICERZ',
supervising_district_external_id='135'
)
]
program_combinations = calculator.map_program_combinations(
person, program_events, ALL_METRICS_INCLUSIONS_DICT,
calculation_end_month=None,
calculation_month_count=-1,
person_metadata=_DEFAULT_PERSON_METADATA
)
relevant_periods = [36, 12]
expected_combinations_count = expected_metric_combos_count(
program_events, len(relevant_periods),
duplicated_months_different_supervision_types=True)
self.assertEqual(expected_combinations_count, len(program_combinations))
assert all(value == 1 for _combination, value in program_combinations)
parole_combos = 0
probation_combos = 0
for combo, _ in program_combinations:
if combo.get('supervision_type') \
and combo_has_enum_value_for_key(
combo, 'methodology', MetricMethodologyType.PERSON):
# Ensure that all person-based metrics are of type parole
if combo.get('supervision_type') == \
StateSupervisionType.PAROLE:
parole_combos += 1
elif combo.get('supervision_type') == \
StateSupervisionType.PROBATION:
probation_combos += 1
# Assert that there are the same number of parole and probation
# person-based combinations
assert parole_combos == probation_combos
def test_map_incarceration_combinations_all_types(self):
person = StatePerson.new_with_defaults(
state_code="CA",
person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE,
)
race = StatePersonRace.new_with_defaults(state_code="CA",
race=Race.WHITE)
person.races = [race]
ethnicity = StatePersonEthnicity.new_with_defaults(
state_code="CA", ethnicity=Ethnicity.NOT_HISPANIC)
person.ethnicities = [ethnicity]
incarceration_events = [
IncarcerationStayEvent(
admission_reason=StateIncarcerationPeriodAdmissionReason.
PAROLE_REVOCATION,
admission_reason_raw_text="NEW_ADMISSION",
supervision_type_at_admission=
StateSupervisionPeriodSupervisionType.PAROLE,
state_code="CA",
event_date=date(2000, 3, 31),
facility="SAN QUENTIN",
county_of_residence=_COUNTY_OF_RESIDENCE,
most_serious_offense_ncic_code=_NCIC_CODE,
most_serious_offense_statute=_STATUTE,
specialized_purpose_for_incarceration=
StateSpecializedPurposeForIncarceration.TREATMENT_IN_PRISON,
),
IncarcerationAdmissionEvent(
state_code="CA",
event_date=date(2000, 3, 12),
facility="SAN QUENTIN",
county_of_residence=_COUNTY_OF_RESIDENCE,
admission_reason=AdmissionReason.PAROLE_REVOCATION,
supervision_type_at_admission=
StateSupervisionPeriodSupervisionType.PAROLE,
admission_reason_raw_text="PAROLE_REVOCATION",
specialized_purpose_for_incarceration=
StateSpecializedPurposeForIncarceration.TREATMENT_IN_PRISON,
),
IncarcerationReleaseEvent(
state_code="CA",
event_date=date(2003, 4, 12),
facility="SAN QUENTIN",
county_of_residence=_COUNTY_OF_RESIDENCE,
supervision_type_at_release=
StateSupervisionPeriodSupervisionType.PAROLE,
),
]
incarceration_combinations = calculator.map_incarceration_combinations(
person=person,
incarceration_events=incarceration_events,
metric_inclusions=ALL_METRICS_INCLUSIONS_DICT,
calculation_end_month=None,
calculation_month_count=-1,
person_metadata=_DEFAULT_PERSON_METADATA,
)
expected_combinations_count = expected_metric_combos_count(
incarceration_events)
self.assertEqual(expected_combinations_count,
len(incarceration_combinations))
assert all(value == 1
for _combination, value in incarceration_combinations)
def test_map_incarceration_combinations_multiple_overlapping_stays(self):
person = StatePerson.new_with_defaults(
state_code="US_ND",
person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE,
)
race = StatePersonRace.new_with_defaults(state_code="US_ND",
race=Race.WHITE)
person.races = [race]
ethnicity = StatePersonEthnicity.new_with_defaults(
state_code="US_ND", ethnicity=Ethnicity.NOT_HISPANIC)
person.ethnicities = [ethnicity]
incarceration_events = [
IncarcerationStayEvent(
state_code="US_ND",
event_date=date(2019, 11, 30),
facility="JRCC",
county_of_residence=_COUNTY_OF_RESIDENCE,
specialized_purpose_for_incarceration=
StateSpecializedPurposeForIncarceration.TREATMENT_IN_PRISON,
),
IncarcerationStayEvent(
state_code="US_ND",
event_date=date(2019, 11, 30),
facility="JRCC",
county_of_residence=_COUNTY_OF_RESIDENCE,
specialized_purpose_for_incarceration=
StateSpecializedPurposeForIncarceration.TREATMENT_IN_PRISON,
),
IncarcerationStayEvent(
state_code="US_ND",
event_date=date(2019, 11, 30),
facility="JRCC",
county_of_residence=_COUNTY_OF_RESIDENCE,
specialized_purpose_for_incarceration=
StateSpecializedPurposeForIncarceration.TREATMENT_IN_PRISON,
),
]
incarceration_combinations = calculator.map_incarceration_combinations(
person=person,
incarceration_events=incarceration_events,
metric_inclusions=ALL_METRICS_INCLUSIONS_DICT,
calculation_end_month=None,
calculation_month_count=-1,
person_metadata=_DEFAULT_PERSON_METADATA,
)
expected_combinations_count = expected_metric_combos_count(
incarceration_events)
self.assertEqual(expected_combinations_count,
len(incarceration_combinations))
assert all(value == 1
for _combination, value in incarceration_combinations)
def testConvert_FullIngestInfo(self):
# Arrange
metadata = FakeIngestMetadata.for_state(region="us_nd")
ingest_info = IngestInfo()
ingest_info.state_agents.add(state_agent_id="AGENT_ID1",
full_name="AGENT WILLIAMS")
ingest_info.state_agents.add(state_agent_id="AGENT_ID2",
full_name="AGENT HERNANDEZ")
ingest_info.state_agents.add(state_agent_id="AGENT_ID3",
full_name="AGENT SMITH")
ingest_info.state_agents.add(state_agent_id="AGENT_ID4",
full_name="AGENT PO")
ingest_info.state_agents.add(state_agent_id="JUDGE_AGENT_ID_1",
full_name="JUDGE JUDY")
ingest_info.state_agents.add(state_agent_id="AGENT_ID_PO",
full_name="AGENT PAROLEY")
ingest_info.state_agents.add(
state_agent_id="AGENT_ID_TERM",
full_name="AGENT TERMY",
agent_type="SUPERVISION_OFFICER",
)
ingest_info.state_agents.add(
state_agent_id="AGENT_ID_SUPERVISING",
full_name="SUPERVISING AGENT",
)
# We expect the external_ids coming in to have the format
# [type]:[external_id]
ii_person_external_id_1 = US_ND_ELITE + ":" + "EXTERNAL_ID1"
ii_person_external_id_2 = US_ND_SID + ":" + "EXTERNAL_ID2"
ingest_info.state_people.add(
state_person_id="PERSON_ID",
state_person_race_ids=["RACE_ID1", "RACE_ID2"],
state_person_ethnicity_ids=["ETHNICITY_ID"],
state_alias_ids=["ALIAS_ID1", "ALIAS_ID2"],
state_person_external_ids_ids=[
ii_person_external_id_1,
ii_person_external_id_2,
],
state_assessment_ids=["ASSESSMENT_ID"],
state_program_assignment_ids=["PROGRAM_ASSIGNMENT_ID"],
state_sentence_group_ids=["GROUP_ID1", "GROUP_ID2"],
supervising_officer_id="AGENT_ID_SUPERVISING",
)
ingest_info.state_person_races.add(
state_person_race_id="RACE_ID1",
race="WHITE",
)
ingest_info.state_person_races.add(state_person_race_id="RACE_ID2",
race="OTHER")
ingest_info.state_person_ethnicities.add(
state_person_ethnicity_id="ETHNICITY_ID", ethnicity="HISPANIC")
ingest_info.state_aliases.add(state_alias_id="ALIAS_ID1",
full_name="LONNY BREAUX")
ingest_info.state_aliases.add(state_alias_id="ALIAS_ID2",
full_name="FRANK OCEAN")
ingest_info.state_person_external_ids.add(
state_person_external_id_id=ii_person_external_id_1,
id_type=US_ND_ELITE)
ingest_info.state_person_external_ids.add(
state_person_external_id_id=ii_person_external_id_2,
id_type=US_ND_SID)
ingest_info.state_assessments.add(
state_assessment_id="ASSESSMENT_ID",
assessment_class="MENTAL_HEALTH",
conducting_agent_id="AGENT_ID1",
)
ingest_info.state_program_assignments.add(
state_program_assignment_id="PROGRAM_ASSIGNMENT_ID",
participation_status="DISCHARGED",
referral_date="2019/02/10",
start_date="2019/02/11",
discharge_date="2019/02/12",
program_id="PROGRAM_ID",
program_location_id="PROGRAM_LOCATION_ID",
discharge_reason="COMPLETED",
referring_agent_id="AGENT_ID4",
)
ingest_info.state_sentence_groups.add(
state_sentence_group_id="GROUP_ID1",
state_supervision_sentence_ids=["SUPERVISION_SENTENCE_ID1"],
state_incarceration_sentence_ids=[
"INCARCERATION_SENTENCE_ID1",
"INCARCERATION_SENTENCE_ID2",
],
)
ingest_info.state_sentence_groups.add(
state_sentence_group_id="GROUP_ID2",
state_supervision_sentence_ids=["SUPERVISION_SENTENCE_ID2"],
state_fine_ids=["FINE_ID"],
)
ingest_info.state_fines.add(state_fine_id="FINE_ID", status="PAID")
ingest_info.state_supervision_sentences.add(
state_supervision_sentence_id="SUPERVISION_SENTENCE_ID1",
state_charge_ids=["CHARGE_ID1", "CHARGE_ID2"],
state_supervision_period_ids=["S_PERIOD_ID1"],
)
ingest_info.state_supervision_sentences.add(
state_supervision_sentence_id="SUPERVISION_SENTENCE_ID2",
state_charge_ids=["CHARGE_ID2"],
state_supervision_period_ids=["S_PERIOD_ID2"],
)
ingest_info.state_incarceration_sentences.add(
state_incarceration_sentence_id="INCARCERATION_SENTENCE_ID1",
state_charge_ids=["CHARGE_ID1"],
state_incarceration_period_ids=["I_PERIOD_ID"],
)
ingest_info.state_incarceration_sentences.add(
state_incarceration_sentence_id="INCARCERATION_SENTENCE_ID2",
state_charge_ids=["CHARGE_ID2", "CHARGE_ID3"],
state_supervision_period_ids=["S_PERIOD_ID3"],
)
ingest_info.state_charges.add(
state_charge_id="CHARGE_ID1",
state_court_case_id="CASE_ID",
state_bond_id="BOND_ID",
classification_type="M",
classification_subtype="1",
ncic_code="5006",
)
ingest_info.state_charges.add(
state_charge_id="CHARGE_ID2",
state_court_case_id="CASE_ID",
classification_type="M",
classification_subtype="2",
)
ingest_info.state_charges.add(
state_charge_id="CHARGE_ID3",
state_court_case_id="CASE_ID",
classification_type="F",
classification_subtype="3",
ncic_code="5006",
description="Obstruction of investigation",
)
ingest_info.state_court_cases.add(
state_court_case_id="CASE_ID",
judge_id="JUDGE_AGENT_ID_1",
)
ingest_info.state_bonds.add(state_bond_id="BOND_ID", status="POSTED")
ingest_info.state_supervision_periods.add(
state_supervision_period_id="S_PERIOD_ID1",
state_supervision_violation_entry_ids=["VIOLATION_ID"],
supervision_type="PAROLE",
supervision_level="MED",
state_supervision_contact_ids=["SUPERVISION_CONTACT_ID"],
state_program_assignment_ids=["PROGRAM_ASSIGNMENT_ID"],
)
ingest_info.state_supervision_periods.add(
state_supervision_period_id="S_PERIOD_ID2",
supervision_type="PAROLE")
ingest_info.state_supervision_periods.add(
state_supervision_period_id="S_PERIOD_ID3",
state_assessment_ids=["ASSESSMENT_ID"],
supervising_officer_id="AGENT_ID_PO",
supervision_type="PROBATION",
state_supervision_case_type_entry_ids=["CASE_TYPE_ID"],
)
ingest_info.state_supervision_case_type_entries.add(
state_supervision_case_type_entry_id="CASE_TYPE_ID",
case_type="DOMESTIC_VIOLENCE",
)
ingest_info.state_incarceration_periods.add(
state_incarceration_period_id="I_PERIOD_ID",
state_incarceration_incident_ids=["INCIDENT_ID"],
state_parole_decision_ids=["DECISION_ID"],
state_assessment_ids=["ASSESSMENT_ID"],
state_program_assignment_ids=["PROGRAM_ASSIGNMENT_ID"],
source_supervision_violation_response_id="RESPONSE_ID",
)
ingest_info.state_supervision_violation_type_entries.add(
state_supervision_violation_type_entry_id="VIOLATION_TYPE_ENTRY_ID",
violation_type="FELONY",
state_code="US_ND",
)
ingest_info.state_supervision_violated_condition_entries.add(
state_supervision_violated_condition_entry_id=
"VIOLATED_CONDITION_ENTRY_ID",
condition="CURFEW",
state_code="US_ND",
)
ingest_info.state_supervision_violations.add(
state_supervision_violation_id="VIOLATION_ID",
state_supervision_violation_response_ids=["RESPONSE_ID"],
state_supervision_violated_condition_entry_ids=[
"VIOLATED_CONDITION_ENTRY_ID"
],
state_supervision_violation_type_entry_ids=[
"VIOLATION_TYPE_ENTRY_ID"
],
)
ingest_info.state_supervision_violated_condition_entries.add(
state_supervision_violated_condition_entry_id=
"VIOLATED_CONDITION_ENTRY_ID",
condition="CURFEW",
state_code="US_ND",
)
ingest_info.state_supervision_violation_response_decision_entries.add(
state_supervision_violation_response_decision_entry_id=
"VIOLATION_RESPONSE_DECISION_ENTRY_ID",
decision="REVOCATION",
revocation_type="REINCARCERATION",
state_code="US_ND",
)
ingest_info.state_supervision_violation_responses.add(
state_supervision_violation_response_id="RESPONSE_ID",
decision_agent_ids=["AGENT_ID_TERM"],
state_supervision_violation_response_decision_entry_ids=[
"VIOLATION_RESPONSE_DECISION_ENTRY_ID"
],
response_type="CITATION",
)
ingest_info.state_incarceration_incidents.add(
state_incarceration_incident_id="INCIDENT_ID",
incident_type="CONTRABAND",
responding_officer_id="AGENT_ID2",
state_incarceration_incident_outcome_ids=["INCIDENT_OUTCOME_ID"],
)
ingest_info.state_incarceration_incident_outcomes.add(
state_incarceration_incident_outcome_id="INCIDENT_OUTCOME_ID",
outcome_type="GOOD_TIME_LOSS",
date_effective="2/10/2018",
hearing_date="2/6/2018",
report_date="2/8/2018",
state_code="US_ND",
outcome_description="Good time",
punishment_length_days="7",
)
ingest_info.state_parole_decisions.add(
state_parole_decision_id="DECISION_ID",
decision_agent_ids=["AGENT_ID2", "AGENT_ID3"],
)
ingest_info.state_supervision_contacts.add(
state_supervision_contact_id="SUPERVISION_CONTACT_ID",
contacted_agent_id="AGENT_ID_PO",
)
# Act
result = self._convert_and_throw_on_errors(ingest_info, metadata)
# Assert
supervision_contact = StateSupervisionContact.new_with_defaults(
external_id="SUPERVISION_CONTACT_ID",
state_code="US_ND",
contacted_agent=StateAgent.new_with_defaults(
external_id="AGENT_ID_PO",
state_code="US_ND",
agent_type=StateAgentType.PRESENT_WITHOUT_INFO,
full_name='{"full_name": "AGENT PAROLEY"}',
),
)
incident_outcome = StateIncarcerationIncidentOutcome.new_with_defaults(
external_id="INCIDENT_OUTCOME_ID",
outcome_type=StateIncarcerationIncidentOutcomeType.GOOD_TIME_LOSS,
outcome_type_raw_text="GOOD_TIME_LOSS",
date_effective=datetime.date(year=2018, month=2, day=10),
hearing_date=datetime.date(year=2018, month=2, day=6),
report_date=datetime.date(year=2018, month=2, day=8),
state_code="US_ND",
outcome_description="GOOD TIME",
punishment_length_days=7,
)
incident = StateIncarcerationIncident.new_with_defaults(
external_id="INCIDENT_ID",
state_code="US_ND",
incident_type=StateIncarcerationIncidentType.CONTRABAND,
incident_type_raw_text="CONTRABAND",
responding_officer=StateAgent.new_with_defaults(
external_id="AGENT_ID2",
state_code="US_ND",
agent_type=StateAgentType.PRESENT_WITHOUT_INFO,
full_name='{"full_name": "AGENT HERNANDEZ"}',
),
incarceration_incident_outcomes=[incident_outcome],
)
assessment = StateAssessment.new_with_defaults(
external_id="ASSESSMENT_ID",
state_code="US_ND",
assessment_class=StateAssessmentClass.MENTAL_HEALTH,
assessment_class_raw_text="MENTAL_HEALTH",
conducting_agent=StateAgent.new_with_defaults(
external_id="AGENT_ID1",
agent_type=StateAgentType.PRESENT_WITHOUT_INFO,
state_code="US_ND",
full_name='{"full_name": "AGENT WILLIAMS"}',
),
)
program_assignment = StateProgramAssignment.new_with_defaults(
external_id="PROGRAM_ASSIGNMENT_ID",
state_code="US_ND",
participation_status=StateProgramAssignmentParticipationStatus.
DISCHARGED,
participation_status_raw_text="DISCHARGED",
referral_date=datetime.date(year=2019, month=2, day=10),
start_date=datetime.date(year=2019, month=2, day=11),
discharge_date=datetime.date(year=2019, month=2, day=12),
program_id="PROGRAM_ID",
program_location_id="PROGRAM_LOCATION_ID",
discharge_reason=StateProgramAssignmentDischargeReason.COMPLETED,
discharge_reason_raw_text="COMPLETED",
referring_agent=StateAgent.new_with_defaults(
external_id="AGENT_ID4",
agent_type=StateAgentType.PRESENT_WITHOUT_INFO,
state_code="US_ND",
full_name='{"full_name": "AGENT PO"}',
),
)
response = StateSupervisionViolationResponse.new_with_defaults(
external_id="RESPONSE_ID",
state_code="US_ND",
response_type=StateSupervisionViolationResponseType.CITATION,
response_type_raw_text="CITATION",
decision_agents=[
StateAgent.new_with_defaults(
external_id="AGENT_ID_TERM",
state_code="US_ND",
full_name='{"full_name": "AGENT TERMY"}',
agent_type=StateAgentType.SUPERVISION_OFFICER,
agent_type_raw_text="SUPERVISION_OFFICER",
)
],
supervision_violation_response_decisions=[
StateSupervisionViolationResponseDecisionEntry.
new_with_defaults(
state_code="US_ND",
decision=StateSupervisionViolationResponseDecision.
REVOCATION,
decision_raw_text="REVOCATION",
revocation_type=
StateSupervisionViolationResponseRevocationType.
REINCARCERATION,
revocation_type_raw_text="REINCARCERATION",
)
],
)
violation = StateSupervisionViolation.new_with_defaults(
external_id="VIOLATION_ID",
state_code="US_ND",
supervision_violation_responses=[response],
supervision_violation_types=[
StateSupervisionViolationTypeEntry.new_with_defaults(
state_code="US_ND",
violation_type=StateSupervisionViolationType.FELONY,
violation_type_raw_text="FELONY",
)
],
supervision_violated_conditions=[
StateSupervisionViolatedConditionEntry.new_with_defaults(
state_code="US_ND",
condition="CURFEW",
)
],
)
court_case = StateCourtCase.new_with_defaults(
external_id="CASE_ID",
state_code="US_ND",
status=StateCourtCaseStatus.PRESENT_WITHOUT_INFO,
court_type=StateCourtType.PRESENT_WITHOUT_INFO,
judge=StateAgent.new_with_defaults(
external_id="JUDGE_AGENT_ID_1",
state_code="US_ND",
agent_type=StateAgentType.PRESENT_WITHOUT_INFO,
full_name='{"full_name": "JUDGE JUDY"}',
),
)
charge_1 = StateCharge.new_with_defaults(
external_id="CHARGE_ID1",
classification_type=StateChargeClassificationType.MISDEMEANOR,
classification_type_raw_text="M",
classification_subtype="1",
ncic_code="5006",
description="FALSE STATEMENT",
state_code="US_ND",
status=ChargeStatus.PRESENT_WITHOUT_INFO,
court_case=court_case,
bond=StateBond.new_with_defaults(
external_id="BOND_ID",
state_code="US_ND",
status=BondStatus.POSTED,
status_raw_text="POSTED",
),
)
charge_2 = StateCharge.new_with_defaults(
external_id="CHARGE_ID2",
classification_type=StateChargeClassificationType.MISDEMEANOR,
classification_type_raw_text="M",
classification_subtype="2",
state_code="US_ND",
status=ChargeStatus.PRESENT_WITHOUT_INFO,
court_case=court_case,
)
charge_3 = StateCharge.new_with_defaults(
external_id="CHARGE_ID3",
state_code="US_ND",
classification_type=StateChargeClassificationType.FELONY,
classification_type_raw_text="F",
classification_subtype="3",
ncic_code="5006",
description="OBSTRUCTION OF INVESTIGATION",
status=ChargeStatus.PRESENT_WITHOUT_INFO,
court_case=court_case,
)
incarceration_sentence_1 = StateIncarcerationSentence.new_with_defaults(
external_id="INCARCERATION_SENTENCE_ID1",
state_code="US_ND",
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
incarceration_type=StateIncarcerationType.STATE_PRISON,
charges=[charge_1],
incarceration_periods=[
StateIncarcerationPeriod.new_with_defaults(
external_id="I_PERIOD_ID",
status=StateIncarcerationPeriodStatus.PRESENT_WITHOUT_INFO,
incarceration_type=StateIncarcerationType.STATE_PRISON,
state_code="US_ND",
incarceration_incidents=[incident],
program_assignments=[program_assignment],
parole_decisions=[
StateParoleDecision.new_with_defaults(
external_id="DECISION_ID",
state_code="US_ND",
decision_agents=[
StateAgent.new_with_defaults(
external_id="AGENT_ID2",
agent_type=StateAgentType.
PRESENT_WITHOUT_INFO,
state_code="US_ND",
full_name=
'{"full_name": "AGENT HERNANDEZ"}',
),
StateAgent.new_with_defaults(
external_id="AGENT_ID3",
state_code="US_ND",
agent_type=StateAgentType.
PRESENT_WITHOUT_INFO,
full_name='{"full_name": "AGENT SMITH"}',
),
],
)
],
assessments=[assessment],
source_supervision_violation_response=response,
)
],
)
incarceration_sentence_2 = StateIncarcerationSentence.new_with_defaults(
external_id="INCARCERATION_SENTENCE_ID2",
state_code="US_ND",
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
incarceration_type=StateIncarcerationType.STATE_PRISON,
charges=[charge_2, charge_3],
supervision_periods=[
StateSupervisionPeriod.new_with_defaults(
external_id="S_PERIOD_ID3",
status=StateSupervisionPeriodStatus.PRESENT_WITHOUT_INFO,
state_code="US_ND",
supervision_type=StateSupervisionType.PROBATION,
supervision_type_raw_text="PROBATION",
assessments=[assessment],
supervising_officer=StateAgent.new_with_defaults(
external_id="AGENT_ID_PO",
state_code="US_ND",
agent_type=StateAgentType.PRESENT_WITHOUT_INFO,
full_name='{"full_name": "AGENT PAROLEY"}',
),
case_type_entries=[
StateSupervisionCaseTypeEntry.new_with_defaults(
case_type=StateSupervisionCaseType.
DOMESTIC_VIOLENCE,
case_type_raw_text="DOMESTIC_VIOLENCE",
state_code="US_ND",
external_id="CASE_TYPE_ID",
)
],
)
],
)
expected_result = [
StatePerson.new_with_defaults(
state_code="US_ND",
external_ids=[
StatePersonExternalId.new_with_defaults(
external_id="EXTERNAL_ID1",
state_code="US_ND",
id_type=US_ND_ELITE,
),
StatePersonExternalId.new_with_defaults(
external_id="EXTERNAL_ID2",
state_code="US_ND",
id_type=US_ND_SID,
),
],
races=[
StatePersonRace(race=Race.WHITE,
race_raw_text="WHITE",
state_code="US_ND"),
StatePersonRace(race=Race.OTHER,
race_raw_text="OTHER",
state_code="US_ND"),
],
ethnicities=[
StatePersonEthnicity(
ethnicity=Ethnicity.HISPANIC,
ethnicity_raw_text="HISPANIC",
state_code="US_ND",
)
],
aliases=[
StatePersonAlias.new_with_defaults(
full_name='{"full_name": "LONNY BREAUX"}',
state_code="US_ND"),
StatePersonAlias.new_with_defaults(
full_name='{"full_name": "FRANK OCEAN"}',
state_code="US_ND"),
],
supervising_officer=StateAgent.new_with_defaults(
external_id="AGENT_ID_SUPERVISING",
state_code="US_ND",
agent_type=StateAgentType.PRESENT_WITHOUT_INFO,
full_name='{"full_name": "SUPERVISING AGENT"}',
),
assessments=[assessment],
program_assignments=[program_assignment],
sentence_groups=[
StateSentenceGroup.new_with_defaults(
external_id="GROUP_ID1",
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
state_code="US_ND",
supervision_sentences=[
StateSupervisionSentence.new_with_defaults(
external_id="SUPERVISION_SENTENCE_ID1",
state_code="US_ND",
status=StateSentenceStatus.
PRESENT_WITHOUT_INFO,
charges=[charge_1, charge_2],
supervision_periods=[
StateSupervisionPeriod.new_with_defaults(
external_id="S_PERIOD_ID1",
status=StateSupervisionPeriodStatus.
PRESENT_WITHOUT_INFO,
supervision_level=StateSupervisionLevel
.MEDIUM,
supervision_level_raw_text="MED",
state_code="US_ND",
supervision_type=StateSupervisionType.
PAROLE,
supervision_type_raw_text="PAROLE",
supervision_violation_entries=[
violation
],
program_assignments=[
program_assignment
],
supervision_contacts=[
supervision_contact
],
)
],
)
],
incarceration_sentences=[
incarceration_sentence_1,
incarceration_sentence_2,
],
),
StateSentenceGroup.new_with_defaults(
external_id="GROUP_ID2",
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
state_code="US_ND",
supervision_sentences=[
StateSupervisionSentence.new_with_defaults(
external_id="SUPERVISION_SENTENCE_ID2",
state_code="US_ND",
status=StateSentenceStatus.
PRESENT_WITHOUT_INFO,
charges=[charge_2],
supervision_periods=[
StateSupervisionPeriod.new_with_defaults(
external_id="S_PERIOD_ID2",
status=StateSupervisionPeriodStatus.
PRESENT_WITHOUT_INFO,
state_code="US_ND",
supervision_type=StateSupervisionType.
PAROLE,
supervision_type_raw_text="PAROLE",
)
],
)
],
fines=[
StateFine.new_with_defaults(
external_id="FINE_ID",
state_code="US_ND",
status=StateFineStatus.PAID,
status_raw_text="PAID",
)
],
),
],
)
]
print("\n", expected_result, "\n\n\n", result)
self.assertCountEqual(expected_result, result)
def testConvert_FullIngestInfo(self):
# Arrange
metadata = IngestMetadata('us_nd',
_JURISDICTION_ID,
_INGEST_TIME,
system_level=SystemLevel.STATE)
ingest_info = IngestInfo()
ingest_info.state_agents.add(state_agent_id='AGENT_ID1',
full_name='AGENT WILLIAMS')
ingest_info.state_agents.add(state_agent_id='AGENT_ID2',
full_name='AGENT HERNANDEZ')
ingest_info.state_agents.add(state_agent_id='AGENT_ID3',
full_name='AGENT SMITH')
ingest_info.state_agents.add(state_agent_id='AGENT_ID4',
full_name='AGENT PO')
ingest_info.state_agents.add(state_agent_id='JUDGE_AGENT_ID_1',
full_name='JUDGE JUDY')
ingest_info.state_agents.add(state_agent_id='AGENT_ID_PO',
full_name='AGENT PAROLEY')
ingest_info.state_agents.add(state_agent_id='AGENT_ID_TERM',
full_name='AGENT TERMY',
agent_type='SUPERVISION_OFFICER')
ingest_info.state_agents.add(
state_agent_id='AGENT_ID_SUPERVISING',
full_name='SUPERVISING AGENT',
)
# We expect the external_ids coming in to have the format
# [type]:[external_id]
ii_person_external_id_1 = US_ND_ELITE + ':' + 'EXTERNAL_ID1'
ii_person_external_id_2 = US_ND_SID + ':' + 'EXTERNAL_ID2'
ingest_info.state_people.add(
state_person_id='PERSON_ID',
state_person_race_ids=['RACE_ID1', 'RACE_ID2'],
state_person_ethnicity_ids=['ETHNICITY_ID'],
state_alias_ids=['ALIAS_ID1', 'ALIAS_ID2'],
state_person_external_ids_ids=[
ii_person_external_id_1, ii_person_external_id_2
],
state_assessment_ids=['ASSESSMENT_ID'],
state_program_assignment_ids=['PROGRAM_ASSIGNMENT_ID'],
state_sentence_group_ids=['GROUP_ID1', 'GROUP_ID2'],
supervising_officer_id='AGENT_ID_SUPERVISING',
)
ingest_info.state_person_races.add(
state_person_race_id='RACE_ID1',
race='WHITE',
)
ingest_info.state_person_races.add(state_person_race_id='RACE_ID2',
race='OTHER')
ingest_info.state_person_ethnicities.add(
state_person_ethnicity_id='ETHNICITY_ID', ethnicity='HISPANIC')
ingest_info.state_aliases.add(state_alias_id='ALIAS_ID1',
full_name='LONNY BREAUX')
ingest_info.state_aliases.add(state_alias_id='ALIAS_ID2',
full_name='FRANK OCEAN')
ingest_info.state_person_external_ids.add(
state_person_external_id_id=ii_person_external_id_1,
id_type=US_ND_ELITE)
ingest_info.state_person_external_ids.add(
state_person_external_id_id=ii_person_external_id_2,
id_type=US_ND_SID)
ingest_info.state_assessments.add(state_assessment_id='ASSESSMENT_ID',
assessment_class='MENTAL_HEALTH',
conducting_agent_id='AGENT_ID1')
ingest_info.state_program_assignments.add(
state_program_assignment_id='PROGRAM_ASSIGNMENT_ID',
participation_status='DISCHARGED',
referral_date='2019/02/10',
start_date='2019/02/11',
discharge_date='2019/02/12',
program_id='PROGRAM_ID',
program_location_id='PROGRAM_LOCATION_ID',
discharge_reason='COMPLETED',
referring_agent_id='AGENT_ID4')
ingest_info.state_sentence_groups.add(
state_sentence_group_id='GROUP_ID1',
state_supervision_sentence_ids=['SUPERVISION_SENTENCE_ID1'],
state_incarceration_sentence_ids=[
'INCARCERATION_SENTENCE_ID1', 'INCARCERATION_SENTENCE_ID2'
])
ingest_info.state_sentence_groups.add(
state_sentence_group_id='GROUP_ID2',
state_supervision_sentence_ids=['SUPERVISION_SENTENCE_ID2'],
state_fine_ids=['FINE_ID'])
ingest_info.state_fines.add(state_fine_id='FINE_ID', status='PAID')
ingest_info.state_supervision_sentences.add(
state_supervision_sentence_id='SUPERVISION_SENTENCE_ID1',
state_charge_ids=['CHARGE_ID1', 'CHARGE_ID2'],
state_supervision_period_ids=['S_PERIOD_ID1'])
ingest_info.state_supervision_sentences.add(
state_supervision_sentence_id='SUPERVISION_SENTENCE_ID2',
state_charge_ids=['CHARGE_ID2'],
state_supervision_period_ids=['S_PERIOD_ID2'])
ingest_info.state_incarceration_sentences.add(
state_incarceration_sentence_id='INCARCERATION_SENTENCE_ID1',
state_charge_ids=['CHARGE_ID1'],
state_incarceration_period_ids=['I_PERIOD_ID'])
ingest_info.state_incarceration_sentences.add(
state_incarceration_sentence_id='INCARCERATION_SENTENCE_ID2',
state_charge_ids=['CHARGE_ID2', 'CHARGE_ID3'],
state_supervision_period_ids=['S_PERIOD_ID3'])
ingest_info.state_charges.add(
state_charge_id='CHARGE_ID1',
state_court_case_id='CASE_ID',
state_bond_id='BOND_ID',
classification_type='M',
classification_subtype='1',
ncic_code='5006',
)
ingest_info.state_charges.add(
state_charge_id='CHARGE_ID2',
state_court_case_id='CASE_ID',
classification_type='M',
classification_subtype='2',
)
ingest_info.state_charges.add(
state_charge_id='CHARGE_ID3',
state_court_case_id='CASE_ID',
classification_type='F',
classification_subtype='3',
ncic_code='5006',
description='Obstruction of investigation',
)
ingest_info.state_court_cases.add(
state_court_case_id='CASE_ID',
judge_id='JUDGE_AGENT_ID_1',
)
ingest_info.state_bonds.add(state_bond_id='BOND_ID', status='POSTED')
ingest_info.state_supervision_periods.add(
state_supervision_period_id='S_PERIOD_ID1',
state_supervision_violation_entry_ids=['VIOLATION_ID'],
supervision_type='PAROLE',
supervision_level='MED',
state_supervision_contact_ids=['SUPERVISION_CONTACT_ID'],
state_program_assignment_ids=['PROGRAM_ASSIGNMENT_ID'])
ingest_info.state_supervision_periods.add(
state_supervision_period_id='S_PERIOD_ID2',
supervision_type='PAROLE')
ingest_info.state_supervision_periods.add(
state_supervision_period_id='S_PERIOD_ID3',
state_assessment_ids=['ASSESSMENT_ID'],
supervising_officer_id='AGENT_ID_PO',
supervision_type='PROBATION',
state_supervision_case_type_entry_ids=['CASE_TYPE_ID'],
)
ingest_info.state_supervision_case_type_entries.add(
state_supervision_case_type_entry_id='CASE_TYPE_ID',
case_type='DOMESTIC_VIOLENCE')
ingest_info.state_incarceration_periods.add(
state_incarceration_period_id='I_PERIOD_ID',
state_incarceration_incident_ids=['INCIDENT_ID'],
state_parole_decision_ids=['DECISION_ID'],
state_assessment_ids=['ASSESSMENT_ID'],
state_program_assignment_ids=['PROGRAM_ASSIGNMENT_ID'],
source_supervision_violation_response_id='RESPONSE_ID')
ingest_info.state_supervision_violation_type_entries.add(
state_supervision_violation_type_entry_id='VIOLATION_TYPE_ENTRY_ID',
violation_type='FELONY',
state_code='US_ND')
ingest_info.state_supervision_violated_condition_entries.add(
state_supervision_violated_condition_entry_id=
'VIOLATED_CONDITION_ENTRY_ID',
condition='CURFEW',
state_code='US_ND')
ingest_info.state_supervision_violations.add(
state_supervision_violation_id='VIOLATION_ID',
state_supervision_violation_response_ids=['RESPONSE_ID'],
state_supervision_violated_condition_entry_ids=[
'VIOLATED_CONDITION_ENTRY_ID'
],
state_supervision_violation_type_entry_ids=[
'VIOLATION_TYPE_ENTRY_ID'
],
)
ingest_info.state_supervision_violated_condition_entries.add(
state_supervision_violated_condition_entry_id=
'VIOLATED_CONDITION_ENTRY_ID',
condition='CURFEW',
state_code='US_ND')
ingest_info.state_supervision_violation_response_decision_entries.add(
state_supervision_violation_response_decision_entry_id=
'VIOLATION_RESPONSE_DECISION_ENTRY_ID',
decision='REVOCATION',
revocation_type='REINCARCERATION',
state_code='US_ND')
ingest_info.state_supervision_violation_responses.add(
state_supervision_violation_response_id='RESPONSE_ID',
decision_agent_ids=['AGENT_ID_TERM'],
state_supervision_violation_response_decision_entry_ids=[
'VIOLATION_RESPONSE_DECISION_ENTRY_ID'
],
response_type='CITATION')
ingest_info.state_incarceration_incidents.add(
state_incarceration_incident_id='INCIDENT_ID',
incident_type='CONTRABAND',
responding_officer_id='AGENT_ID2',
state_incarceration_incident_outcome_ids=['INCIDENT_OUTCOME_ID'],
)
ingest_info.state_incarceration_incident_outcomes.add(
state_incarceration_incident_outcome_id='INCIDENT_OUTCOME_ID',
outcome_type='GOOD_TIME_LOSS',
date_effective='2/10/2018',
hearing_date='2/6/2018',
report_date='2/8/2018',
state_code='US_ND',
outcome_description='Good time',
punishment_length_days='7',
)
ingest_info.state_parole_decisions.add(
state_parole_decision_id='DECISION_ID',
decision_agent_ids=['AGENT_ID2', 'AGENT_ID3'])
ingest_info.state_supervision_contacts.add(
state_supervision_contact_id='SUPERVISION_CONTACT_ID',
contacted_agent_id='AGENT_ID_PO')
# Act
result = self._convert_and_throw_on_errors(ingest_info, metadata)
# Assert
supervision_contact = StateSupervisionContact.new_with_defaults(
external_id='SUPERVISION_CONTACT_ID',
state_code='US_ND',
contacted_agent=StateAgent.new_with_defaults(
external_id='AGENT_ID_PO',
state_code='US_ND',
agent_type=StateAgentType.PRESENT_WITHOUT_INFO,
full_name='{"full_name": "AGENT PAROLEY"}'),
)
incident_outcome = StateIncarcerationIncidentOutcome.new_with_defaults(
external_id='INCIDENT_OUTCOME_ID',
outcome_type=StateIncarcerationIncidentOutcomeType.GOOD_TIME_LOSS,
outcome_type_raw_text='GOOD_TIME_LOSS',
date_effective=datetime.date(year=2018, month=2, day=10),
hearing_date=datetime.date(year=2018, month=2, day=6),
report_date=datetime.date(year=2018, month=2, day=8),
state_code='US_ND',
outcome_description='GOOD TIME',
punishment_length_days=7,
)
incident = StateIncarcerationIncident.new_with_defaults(
external_id='INCIDENT_ID',
state_code='US_ND',
incident_type=StateIncarcerationIncidentType.CONTRABAND,
incident_type_raw_text='CONTRABAND',
responding_officer=StateAgent.new_with_defaults(
external_id='AGENT_ID2',
state_code='US_ND',
agent_type=StateAgentType.PRESENT_WITHOUT_INFO,
full_name='{"full_name": "AGENT HERNANDEZ"}',
),
incarceration_incident_outcomes=[incident_outcome])
assessment = StateAssessment.new_with_defaults(
external_id='ASSESSMENT_ID',
state_code='US_ND',
assessment_class=StateAssessmentClass.MENTAL_HEALTH,
assessment_class_raw_text='MENTAL_HEALTH',
conducting_agent=StateAgent.new_with_defaults(
external_id='AGENT_ID1',
agent_type=StateAgentType.PRESENT_WITHOUT_INFO,
state_code='US_ND',
full_name='{"full_name": "AGENT WILLIAMS"}',
))
program_assignment = StateProgramAssignment.new_with_defaults(
external_id='PROGRAM_ASSIGNMENT_ID',
state_code='US_ND',
participation_status=StateProgramAssignmentParticipationStatus.
DISCHARGED,
participation_status_raw_text='DISCHARGED',
referral_date=datetime.date(year=2019, month=2, day=10),
start_date=datetime.date(year=2019, month=2, day=11),
discharge_date=datetime.date(year=2019, month=2, day=12),
program_id='PROGRAM_ID',
program_location_id='PROGRAM_LOCATION_ID',
discharge_reason=StateProgramAssignmentDischargeReason.COMPLETED,
discharge_reason_raw_text='COMPLETED',
referring_agent=StateAgent.new_with_defaults(
external_id='AGENT_ID4',
agent_type=StateAgentType.PRESENT_WITHOUT_INFO,
state_code='US_ND',
full_name='{"full_name": "AGENT PO"}'))
response = StateSupervisionViolationResponse.new_with_defaults(
external_id='RESPONSE_ID',
state_code='US_ND',
response_type=StateSupervisionViolationResponseType.CITATION,
response_type_raw_text='CITATION',
decision_agents=[
StateAgent.new_with_defaults(
external_id='AGENT_ID_TERM',
state_code='US_ND',
full_name='{"full_name": "AGENT TERMY"}',
agent_type=StateAgentType.SUPERVISION_OFFICER,
agent_type_raw_text='SUPERVISION_OFFICER',
)
],
supervision_violation_response_decisions=[
StateSupervisionViolationResponseDecisionEntry.
new_with_defaults(
state_code='US_ND',
decision=StateSupervisionViolationResponseDecision.
REVOCATION,
decision_raw_text='REVOCATION',
revocation_type=
StateSupervisionViolationResponseRevocationType.
REINCARCERATION,
revocation_type_raw_text='REINCARCERATION')
])
violation = StateSupervisionViolation.new_with_defaults(
external_id='VIOLATION_ID',
state_code='US_ND',
supervision_violation_responses=[response],
supervision_violation_types=[
StateSupervisionViolationTypeEntry.new_with_defaults(
state_code='US_ND',
violation_type=StateSupervisionViolationType.FELONY,
violation_type_raw_text='FELONY',
)
],
supervision_violated_conditions=[
StateSupervisionViolatedConditionEntry.new_with_defaults(
state_code='US_ND',
condition='CURFEW',
)
])
court_case = StateCourtCase.new_with_defaults(
external_id='CASE_ID',
state_code='US_ND',
status=StateCourtCaseStatus.PRESENT_WITHOUT_INFO,
court_type=StateCourtType.PRESENT_WITHOUT_INFO,
judge=StateAgent.new_with_defaults(
external_id='JUDGE_AGENT_ID_1',
state_code='US_ND',
agent_type=StateAgentType.PRESENT_WITHOUT_INFO,
full_name='{"full_name": "JUDGE JUDY"}',
))
charge_1 = StateCharge.new_with_defaults(
external_id='CHARGE_ID1',
classification_type=StateChargeClassificationType.MISDEMEANOR,
classification_type_raw_text='M',
classification_subtype='1',
ncic_code='5006',
description='FALSE STATEMENT',
state_code='US_ND',
status=ChargeStatus.PRESENT_WITHOUT_INFO,
court_case=court_case,
bond=StateBond.new_with_defaults(external_id='BOND_ID',
state_code='US_ND',
status=BondStatus.POSTED,
status_raw_text='POSTED'))
charge_2 = StateCharge.new_with_defaults(
external_id='CHARGE_ID2',
classification_type=StateChargeClassificationType.MISDEMEANOR,
classification_type_raw_text='M',
classification_subtype='2',
state_code='US_ND',
status=ChargeStatus.PRESENT_WITHOUT_INFO,
court_case=court_case)
charge_3 = StateCharge.new_with_defaults(
external_id='CHARGE_ID3',
state_code='US_ND',
classification_type=StateChargeClassificationType.FELONY,
classification_type_raw_text='F',
classification_subtype='3',
ncic_code='5006',
description='OBSTRUCTION OF INVESTIGATION',
status=ChargeStatus.PRESENT_WITHOUT_INFO,
court_case=court_case)
incarceration_sentence_1 = StateIncarcerationSentence.new_with_defaults(
external_id='INCARCERATION_SENTENCE_ID1',
state_code='US_ND',
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
incarceration_type=StateIncarcerationType.STATE_PRISON,
charges=[charge_1],
incarceration_periods=[
StateIncarcerationPeriod.new_with_defaults(
external_id='I_PERIOD_ID',
status=StateIncarcerationPeriodStatus.PRESENT_WITHOUT_INFO,
incarceration_type=StateIncarcerationType.STATE_PRISON,
state_code='US_ND',
incarceration_incidents=[incident],
program_assignments=[program_assignment],
parole_decisions=[
StateParoleDecision.new_with_defaults(
external_id='DECISION_ID',
state_code='US_ND',
decision_agents=[
StateAgent.new_with_defaults(
external_id='AGENT_ID2',
agent_type=StateAgentType.
PRESENT_WITHOUT_INFO,
state_code='US_ND',
full_name='{"full_name": "AGENT HERNANDEZ"}'
),
StateAgent.new_with_defaults(
external_id='AGENT_ID3',
state_code='US_ND',
agent_type=StateAgentType.
PRESENT_WITHOUT_INFO,
full_name='{"full_name": "AGENT SMITH"}')
])
],
assessments=[assessment],
source_supervision_violation_response=response,
)
])
incarceration_sentence_2 = StateIncarcerationSentence.new_with_defaults(
external_id='INCARCERATION_SENTENCE_ID2',
state_code='US_ND',
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
incarceration_type=StateIncarcerationType.STATE_PRISON,
charges=[charge_2, charge_3],
supervision_periods=[
StateSupervisionPeriod.new_with_defaults(
external_id='S_PERIOD_ID3',
status=StateSupervisionPeriodStatus.PRESENT_WITHOUT_INFO,
state_code='US_ND',
supervision_type=StateSupervisionType.PROBATION,
supervision_type_raw_text='PROBATION',
assessments=[assessment],
supervising_officer=StateAgent.new_with_defaults(
external_id='AGENT_ID_PO',
state_code='US_ND',
agent_type=StateAgentType.PRESENT_WITHOUT_INFO,
full_name='{"full_name": "AGENT PAROLEY"}',
),
case_type_entries=[
StateSupervisionCaseTypeEntry.new_with_defaults(
case_type=StateSupervisionCaseType.
DOMESTIC_VIOLENCE,
case_type_raw_text='DOMESTIC_VIOLENCE',
state_code='US_ND',
external_id='CASE_TYPE_ID')
])
])
expected_result = [
StatePerson.new_with_defaults(
state_code='US_ND',
external_ids=[
StatePersonExternalId.new_with_defaults(
external_id='EXTERNAL_ID1',
state_code='US_ND',
id_type=US_ND_ELITE),
StatePersonExternalId.new_with_defaults(
external_id='EXTERNAL_ID2',
state_code='US_ND',
id_type=US_ND_SID)
],
races=[
StatePersonRace(race=Race.WHITE,
race_raw_text='WHITE',
state_code='US_ND'),
StatePersonRace(race=Race.OTHER,
race_raw_text='OTHER',
state_code='US_ND'),
],
ethnicities=[
StatePersonEthnicity(ethnicity=Ethnicity.HISPANIC,
ethnicity_raw_text='HISPANIC',
state_code='US_ND')
],
aliases=[
StatePersonAlias.new_with_defaults(
full_name='{"full_name": "LONNY BREAUX"}',
state_code='US_ND'),
StatePersonAlias.new_with_defaults(
full_name='{"full_name": "FRANK OCEAN"}',
state_code='US_ND'),
],
supervising_officer=StateAgent.new_with_defaults(
external_id='AGENT_ID_SUPERVISING',
state_code='US_ND',
agent_type=StateAgentType.PRESENT_WITHOUT_INFO,
full_name='{"full_name": "SUPERVISING AGENT"}'),
assessments=[assessment],
program_assignments=[program_assignment],
sentence_groups=[
StateSentenceGroup.new_with_defaults(
external_id='GROUP_ID1',
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
state_code='US_ND',
supervision_sentences=[
StateSupervisionSentence.new_with_defaults(
external_id='SUPERVISION_SENTENCE_ID1',
state_code='US_ND',
status=StateSentenceStatus.
PRESENT_WITHOUT_INFO,
charges=[charge_1, charge_2],
supervision_periods=[
StateSupervisionPeriod.new_with_defaults(
external_id='S_PERIOD_ID1',
status=StateSupervisionPeriodStatus.
PRESENT_WITHOUT_INFO,
supervision_level=StateSupervisionLevel
.MEDIUM,
supervision_level_raw_text='MED',
state_code='US_ND',
supervision_type=StateSupervisionType.
PAROLE,
supervision_type_raw_text='PAROLE',
supervision_violation_entries=[
violation
],
program_assignments=[
program_assignment
],
supervision_contacts=[
supervision_contact
],
)
])
],
incarceration_sentences=[
incarceration_sentence_1, incarceration_sentence_2
]),
StateSentenceGroup.new_with_defaults(
external_id='GROUP_ID2',
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
state_code='US_ND',
supervision_sentences=[
StateSupervisionSentence.new_with_defaults(
external_id='SUPERVISION_SENTENCE_ID2',
state_code='US_ND',
status=StateSentenceStatus.
PRESENT_WITHOUT_INFO,
charges=[charge_2],
supervision_periods=[
StateSupervisionPeriod.new_with_defaults(
external_id='S_PERIOD_ID2',
status=StateSupervisionPeriodStatus.
PRESENT_WITHOUT_INFO,
state_code='US_ND',
supervision_type=StateSupervisionType.
PAROLE,
supervision_type_raw_text='PAROLE',
)
])
],
fines=[
StateFine.new_with_defaults(
external_id='FINE_ID',
state_code='US_ND',
status=StateFineStatus.PAID,
status_raw_text='PAID')
])
])
]
print("\n", expected_result, "\n\n\n", result)
self.assertCountEqual(expected_result, result)
def test_produce_program_metrics_multiple_supervision_types(self) -> None:
person = StatePerson.new_with_defaults(
state_code="US_ND",
person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE,
)
race = StatePersonRace.new_with_defaults(state_code="US_ND", race=Race.WHITE)
person.races = [race]
ethnicity = StatePersonEthnicity.new_with_defaults(
state_code="US_ND", ethnicity=Ethnicity.NOT_HISPANIC
)
person.ethnicities = [ethnicity]
event_date = date(2009, 10, 7)
program_events = [
ProgramReferralEvent(
state_code="US_ND",
event_date=event_date,
program_id="XXX",
supervision_type=StateSupervisionType.PAROLE,
assessment_score=22,
assessment_type=StateAssessmentType.LSIR,
supervising_officer_external_id="OFFICERZ",
supervising_district_external_id="135",
),
ProgramReferralEvent(
state_code="US_ND",
event_date=date(2009, 10, 7),
program_id="XXX",
supervision_type=StateSupervisionType.PROBATION,
assessment_score=22,
assessment_type=StateAssessmentType.LSIR,
supervising_officer_external_id="OFFICERZ",
supervising_district_external_id="135",
),
ProgramParticipationEvent(
state_code="US_ND",
event_date=event_date,
program_id="XXX",
program_location_id="YYY",
supervision_type=StateSupervisionType.PAROLE,
),
ProgramParticipationEvent(
state_code="US_ND",
event_date=event_date,
program_id="XXX",
program_location_id="YYY",
supervision_type=StateSupervisionType.PROBATION,
),
]
metrics = self.metric_producer.produce_metrics(
person,
program_events,
ALL_METRICS_INCLUSIONS_DICT,
calculation_end_month="2009-10",
calculation_month_count=-1,
person_metadata=_DEFAULT_PERSON_METADATA,
pipeline_job_id=PIPELINE_JOB_ID,
pipeline_type=self.pipeline_config.pipeline_type,
)
expected_count = expected_metrics_count(program_events)
self.assertEqual(expected_count, len(metrics))
def testConvert_FullIngestInfo(self):
# Arrange
metadata = IngestMetadata('us_nd',
_JURISDICTION_ID,
_INGEST_TIME,
system_level=SystemLevel.STATE)
ingest_info = IngestInfo()
ingest_info.state_agents.add(state_agent_id='AGENT_ID1',
full_name='AGENT WILLIAMS')
ingest_info.state_agents.add(state_agent_id='AGENT_ID2',
full_name='AGENT HERNANDEZ')
ingest_info.state_agents.add(state_agent_id='AGENT_ID3',
full_name='AGENT SMITH')
ingest_info.state_agents.add(state_agent_id='JUDGE_AGENT_ID_1',
full_name='JUDGE JUDY')
# We expect the external_ids coming in to have the format
# [type]:[external_id]
ii_person_external_id_1 = US_ND_ELITE + ':' + 'EXTERNAL_ID1'
ii_person_external_id_2 = US_ND_SID + ':' + 'EXTERNAL_ID2'
ingest_info.state_people.add(
state_person_id='PERSON_ID',
state_person_race_ids=['RACE_ID1', 'RACE_ID2'],
state_person_ethnicity_ids=['ETHNICITY_ID'],
state_alias_ids=['ALIAS_ID1', 'ALIAS_ID2'],
state_person_external_ids_ids=[
ii_person_external_id_1, ii_person_external_id_2
],
state_assessment_ids=['ASSESSMENT_ID'],
state_sentence_group_ids=['GROUP_ID1', 'GROUP_ID2'])
ingest_info.state_person_races.add(
state_person_race_id='RACE_ID1',
race='WHITE',
)
ingest_info.state_person_races.add(state_person_race_id='RACE_ID2',
race='OTHER')
ingest_info.state_person_ethnicities.add(
state_person_ethnicity_id='ETHNICITY_ID', ethnicity='HISPANIC')
ingest_info.state_aliases.add(state_alias_id='ALIAS_ID1',
full_name='LONNY BREAUX')
ingest_info.state_aliases.add(state_alias_id='ALIAS_ID2',
full_name='FRANK OCEAN')
ingest_info.state_person_external_ids.add(
state_person_external_id_id=ii_person_external_id_1,
id_type=US_ND_ELITE)
ingest_info.state_person_external_ids.add(
state_person_external_id_id=ii_person_external_id_2,
id_type=US_ND_SID)
ingest_info.state_assessments.add(state_assessment_id='ASSESSMENT_ID',
assessment_class='MENTAL_HEALTH',
conducting_agent_id='AGENT_ID1')
ingest_info.state_sentence_groups.add(
state_sentence_group_id='GROUP_ID1',
state_supervision_sentence_ids=['SUPERVISION_SENTENCE_ID1'],
state_incarceration_sentence_ids=[
'INCARCERATION_SENTENCE_ID1', 'INCARCERATION_SENTENCE_ID2'
])
ingest_info.state_sentence_groups.add(
state_sentence_group_id='GROUP_ID2',
state_supervision_sentence_ids=['SUPERVISION_SENTENCE_ID2'],
state_fine_ids=['FINE_ID'])
ingest_info.state_fines.add(state_fine_id='FINE_ID', status='PAID')
ingest_info.state_supervision_sentences.add(
state_supervision_sentence_id='SUPERVISION_SENTENCE_ID1',
state_charge_ids=['CHARGE_ID1', 'CHARGE_ID2'],
state_supervision_period_ids=['S_PERIOD_ID1'])
ingest_info.state_supervision_sentences.add(
state_supervision_sentence_id='SUPERVISION_SENTENCE_ID2',
state_charge_ids=['CHARGE_ID2'],
state_supervision_period_ids=['S_PERIOD_ID2'])
ingest_info.state_incarceration_sentences.add(
state_incarceration_sentence_id='INCARCERATION_SENTENCE_ID1',
state_charge_ids=['CHARGE_ID1'],
state_incarceration_period_ids=['I_PERIOD_ID'])
ingest_info.state_incarceration_sentences.add(
state_incarceration_sentence_id='INCARCERATION_SENTENCE_ID2',
state_charge_ids=['CHARGE_ID2', 'CHARGE_ID3'],
state_supervision_period_ids=['S_PERIOD_ID3'])
ingest_info.state_charges.add(
state_charge_id='CHARGE_ID1',
state_court_case_id='CASE_ID',
state_bond_id='BOND_ID',
classification_type='M',
classification_subtype='1',
)
ingest_info.state_charges.add(
state_charge_id='CHARGE_ID2',
state_court_case_id='CASE_ID',
classification_type='M',
classification_subtype='2',
)
ingest_info.state_charges.add(state_charge_id='CHARGE_ID3',
state_court_case_id='CASE_ID',
classification_type='F',
classification_subtype='3')
ingest_info.state_court_cases.add(
state_court_case_id='CASE_ID',
judge_id='JUDGE_AGENT_ID_1',
)
ingest_info.state_bonds.add(state_bond_id='BOND_ID', status='POSTED')
ingest_info.state_supervision_periods.add(
state_supervision_period_id='S_PERIOD_ID1',
state_supervision_violation_ids=['VIOLATION_ID'],
supervision_type='PAROLE',
supervision_level='MED')
ingest_info.state_supervision_periods.add(
state_supervision_period_id='S_PERIOD_ID2',
supervision_type='PAROLE')
ingest_info.state_supervision_periods.add(
state_supervision_period_id='S_PERIOD_ID3',
state_assessment_ids=['ASSESSMENT_ID'],
supervision_type='PROBATION')
ingest_info.state_incarceration_periods.add(
state_incarceration_period_id='I_PERIOD_ID',
state_incarceration_incident_ids=['INCIDENT_ID'],
state_parole_decision_ids=['DECISION_ID'],
state_assessment_ids=['ASSESSMENT_ID'],
)
ingest_info.state_supervision_violations.add(
state_supervision_violation_id='VIOLATION_ID',
state_supervision_violation_response_ids=['RESPONSE_ID'])
ingest_info.state_supervision_violation_responses.add(
state_supervision_violation_response_id='RESPONSE_ID',
response_type='CITATION')
ingest_info.state_incarceration_incidents.add(
state_incarceration_incident_id='INCIDENT_ID',
incident_type='CONTRABAND',
responding_officer_id='AGENT_ID2',
state_incarceration_incident_outcome_ids=['INCIDENT_OUTCOME_ID'],
)
ingest_info.state_incarceration_incident_outcomes.add(
state_incarceration_incident_outcome_id='INCIDENT_OUTCOME_ID',
outcome_type='GOOD_TIME_LOSS',
date_effective='2/10/2018',
state_code='US_ND',
outcome_description='Good time',
punishment_length_days='7',
)
ingest_info.state_parole_decisions.add(
state_parole_decision_id='DECISION_ID',
decision_agent_ids=['AGENT_ID2', 'AGENT_ID3'])
# Act
result = self._convert_and_throw_on_errors(ingest_info, metadata)
# Assert
incident_outcome = StateIncarcerationIncidentOutcome.new_with_defaults(
external_id='INCIDENT_OUTCOME_ID',
outcome_type=StateIncarcerationIncidentOutcomeType.GOOD_TIME_LOSS,
outcome_type_raw_text='GOOD_TIME_LOSS',
date_effective=datetime.date(year=2018, month=2, day=10),
state_code='US_ND',
outcome_description='GOOD TIME',
punishment_length_days=7,
)
incident = StateIncarcerationIncident.new_with_defaults(
external_id='INCIDENT_ID',
state_code='US_ND',
incident_type=StateIncarcerationIncidentType.CONTRABAND,
incident_type_raw_text='CONTRABAND',
responding_officer=StateAgent.new_with_defaults(
external_id='AGENT_ID2',
state_code='US_ND',
full_name='{"full_name": "AGENT HERNANDEZ"}',
),
incarceration_incident_outcomes=[incident_outcome])
assessment = StateAssessment.new_with_defaults(
external_id='ASSESSMENT_ID',
state_code='US_ND',
assessment_class=StateAssessmentClass.MENTAL_HEALTH,
assessment_class_raw_text='MENTAL_HEALTH',
conducting_agent=StateAgent.new_with_defaults(
external_id='AGENT_ID1',
state_code='US_ND',
full_name='{"full_name": "AGENT WILLIAMS"}',
))
violation = StateSupervisionViolation.new_with_defaults(
external_id='VIOLATION_ID',
state_code='US_ND',
supervision_violation_responses=[
StateSupervisionViolationResponse.new_with_defaults(
external_id='RESPONSE_ID',
state_code='US_ND',
response_type=StateSupervisionViolationResponseType.
CITATION,
response_type_raw_text='CITATION')
])
court_case = StateCourtCase.new_with_defaults(
external_id='CASE_ID',
state_code='US_ND',
status=StateCourtCaseStatus.PRESENT_WITHOUT_INFO,
court_type=StateCourtType.PRESENT_WITHOUT_INFO,
judge=StateAgent.new_with_defaults(
external_id='JUDGE_AGENT_ID_1',
state_code='US_ND',
full_name='{"full_name": "JUDGE JUDY"}',
))
charge_1 = StateCharge.new_with_defaults(
external_id='CHARGE_ID1',
classification_type=StateChargeClassificationType.MISDEMEANOR,
classification_type_raw_text='M',
classification_subtype='1',
state_code='US_ND',
status=ChargeStatus.PRESENT_WITHOUT_INFO,
court_case=court_case,
bond=StateBond.new_with_defaults(external_id='BOND_ID',
state_code='US_ND',
status=BondStatus.POSTED,
status_raw_text='POSTED'))
charge_2 = StateCharge.new_with_defaults(
external_id='CHARGE_ID2',
classification_type=StateChargeClassificationType.MISDEMEANOR,
classification_type_raw_text='M',
classification_subtype='2',
state_code='US_ND',
status=ChargeStatus.PRESENT_WITHOUT_INFO,
court_case=court_case)
charge_3 = StateCharge.new_with_defaults(
external_id='CHARGE_ID3',
state_code='US_ND',
classification_type=StateChargeClassificationType.FELONY,
classification_type_raw_text='F',
classification_subtype='3',
status=ChargeStatus.PRESENT_WITHOUT_INFO,
court_case=court_case)
expected_result = [
StatePerson.new_with_defaults(
external_ids=[
StatePersonExternalId.new_with_defaults(
external_id='EXTERNAL_ID1',
state_code='US_ND',
id_type=US_ND_ELITE),
StatePersonExternalId.new_with_defaults(
external_id='EXTERNAL_ID2',
state_code='US_ND',
id_type=US_ND_SID)
],
races=[
StatePersonRace(race=Race.WHITE,
race_raw_text='WHITE',
state_code='US_ND'),
StatePersonRace(race=Race.OTHER,
race_raw_text='OTHER',
state_code='US_ND'),
],
ethnicities=[
StatePersonEthnicity(ethnicity=Ethnicity.HISPANIC,
ethnicity_raw_text='HISPANIC',
state_code='US_ND')
],
aliases=[
StatePersonAlias.new_with_defaults(
full_name='{"full_name": "LONNY BREAUX"}',
state_code='US_ND'),
StatePersonAlias.new_with_defaults(
full_name='{"full_name": "FRANK OCEAN"}',
state_code='US_ND'),
],
assessments=[assessment],
sentence_groups=[
StateSentenceGroup.new_with_defaults(
external_id='GROUP_ID1',
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
state_code='US_ND',
supervision_sentences=[
StateSupervisionSentence.new_with_defaults(
external_id='SUPERVISION_SENTENCE_ID1',
state_code='US_ND',
status=StateSentenceStatus.
PRESENT_WITHOUT_INFO,
charges=[charge_1, charge_2],
supervision_periods=[
StateSupervisionPeriod.new_with_defaults(
external_id='S_PERIOD_ID1',
status=StateSupervisionPeriodStatus.
PRESENT_WITHOUT_INFO,
supervision_level=StateSupervisionLevel
.MEDIUM,
supervision_level_raw_text='MED',
state_code='US_ND',
supervision_type=StateSupervisionType.
PAROLE,
supervision_type_raw_text='PAROLE',
supervision_violations=[violation])
])
],
incarceration_sentences=[
StateIncarcerationSentence.new_with_defaults(
external_id='INCARCERATION_SENTENCE_ID1',
state_code='US_ND',
status=StateSentenceStatus.
PRESENT_WITHOUT_INFO,
incarceration_type=StateIncarcerationType.
STATE_PRISON,
charges=[charge_1],
incarceration_periods=[
StateIncarcerationPeriod.new_with_defaults(
external_id='I_PERIOD_ID',
status=StateIncarcerationPeriodStatus.
PRESENT_WITHOUT_INFO,
incarceration_type=
StateIncarcerationType.STATE_PRISON,
state_code='US_ND',
incarceration_incidents=[incident],
parole_decisions=[
StateParoleDecision.
new_with_defaults(
external_id='DECISION_ID',
state_code='US_ND',
decision_agents=[
StateAgent.
new_with_defaults(
external_id='AGENT_ID2',
state_code='US_ND',
full_name=
'{"full_name": '
'"AGENT HERNANDEZ"}'),
StateAgent.
new_with_defaults(
external_id='AGENT_ID3',
state_code='US_ND',
full_name=
'{"full_name": '
'"AGENT SMITH"}')
])
],
assessments=[assessment],
)
]),
StateIncarcerationSentence.new_with_defaults(
external_id='INCARCERATION_SENTENCE_ID2',
state_code='US_ND',
status=StateSentenceStatus.
PRESENT_WITHOUT_INFO,
incarceration_type=StateIncarcerationType.
STATE_PRISON,
charges=[charge_2, charge_3],
supervision_periods=[
StateSupervisionPeriod.new_with_defaults(
external_id='S_PERIOD_ID3',
status=StateSupervisionPeriodStatus.
PRESENT_WITHOUT_INFO,
state_code='US_ND',
supervision_type=StateSupervisionType.
PROBATION,
supervision_type_raw_text='PROBATION',
assessments=[assessment])
])
]),
StateSentenceGroup.new_with_defaults(
external_id='GROUP_ID2',
status=StateSentenceStatus.PRESENT_WITHOUT_INFO,
state_code='US_ND',
supervision_sentences=[
StateSupervisionSentence.new_with_defaults(
external_id='SUPERVISION_SENTENCE_ID2',
state_code='US_ND',
status=StateSentenceStatus.
PRESENT_WITHOUT_INFO,
charges=[charge_2],
supervision_periods=[
StateSupervisionPeriod.new_with_defaults(
external_id='S_PERIOD_ID2',
status=StateSupervisionPeriodStatus.
PRESENT_WITHOUT_INFO,
state_code='US_ND',
supervision_type=StateSupervisionType.
PAROLE,
supervision_type_raw_text='PAROLE',
)
])
],
fines=[
StateFine.new_with_defaults(
external_id='FINE_ID',
state_code='US_ND',
status=StateFineStatus.PAID,
status_raw_text='PAID')
])
])
]
print(expected_result, "\n\n\n", result)
self.assertEqual(result, expected_result)
def test_map_incarceration_combinations_includes_statute_output(self):
person = StatePerson.new_with_defaults(
state_code="CA",
person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE,
)
race = StatePersonRace.new_with_defaults(state_code="CA",
race=Race.WHITE)
person.races = [race]
ethnicity = StatePersonEthnicity.new_with_defaults(
state_code="CA", ethnicity=Ethnicity.NOT_HISPANIC)
person.ethnicities = [ethnicity]
incarceration_events = [
IncarcerationStayEvent(
state_code="CA",
event_date=date(2010, 3, 31),
facility="FACILITY 33",
county_of_residence=_COUNTY_OF_RESIDENCE,
most_serious_offense_ncic_code=_NCIC_CODE,
most_serious_offense_statute=_STATUTE,
specialized_purpose_for_incarceration=
StateSpecializedPurposeForIncarceration.TREATMENT_IN_PRISON,
),
IncarcerationStayEvent(
state_code="CA",
event_date=date(2010, 4, 30),
facility="FACILITY 33",
county_of_residence=_COUNTY_OF_RESIDENCE,
most_serious_offense_ncic_code=_NCIC_CODE,
most_serious_offense_statute=_STATUTE,
specialized_purpose_for_incarceration=
StateSpecializedPurposeForIncarceration.TREATMENT_IN_PRISON,
),
IncarcerationStayEvent(
state_code="CA",
event_date=date(2010, 5, 31),
facility="FACILITY 33",
county_of_residence=_COUNTY_OF_RESIDENCE,
most_serious_offense_ncic_code=_NCIC_CODE,
most_serious_offense_statute=_STATUTE,
specialized_purpose_for_incarceration=
StateSpecializedPurposeForIncarceration.TREATMENT_IN_PRISON,
),
]
incarceration_combinations = calculator.map_incarceration_combinations(
person=person,
incarceration_events=incarceration_events,
metric_inclusions=ALL_METRICS_INCLUSIONS_DICT,
calculation_end_month=None,
calculation_month_count=-1,
person_metadata=_DEFAULT_PERSON_METADATA,
)
expected_combinations_count = expected_metric_combos_count(
incarceration_events)
self.assertEqual(expected_combinations_count,
len(incarceration_combinations))
assert all(value == 1
for _combination, value in incarceration_combinations)
assert all(
combo.get("most_serious_offense_statute") is not None
for combo, value in incarceration_combinations
if combo.get("person_id") is not None)
def test_produce_incarceration_metrics_all_types(self):
person = StatePerson.new_with_defaults(
state_code="US_XX",
person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE,
)
race = StatePersonRace.new_with_defaults(state_code="US_XX",
race=Race.WHITE)
person.races = [race]
ethnicity = StatePersonEthnicity.new_with_defaults(
state_code="US_XX", ethnicity=Ethnicity.NOT_HISPANIC)
person.ethnicities = [ethnicity]
incarceration_events = [
IncarcerationStayEvent(
admission_reason=StateIncarcerationPeriodAdmissionReason.
PAROLE_REVOCATION,
admission_reason_raw_text="NEW_ADMISSION",
state_code="US_XX",
event_date=date(2000, 3, 31),
facility="FACILITY X",
county_of_residence=_COUNTY_OF_RESIDENCE,
most_serious_offense_ncic_code=_NCIC_CODE,
most_serious_offense_statute=_STATUTE,
specialized_purpose_for_incarceration=
StateSpecializedPurposeForIncarceration.TREATMENT_IN_PRISON,
),
IncarcerationStandardAdmissionEvent(
state_code="US_XX",
event_date=date(2000, 3, 12),
facility="FACILITY X",
county_of_residence=_COUNTY_OF_RESIDENCE,
admission_reason=AdmissionReason.PAROLE_REVOCATION,
admission_reason_raw_text="PAROLE_REVOCATION",
specialized_purpose_for_incarceration=
StateSpecializedPurposeForIncarceration.TREATMENT_IN_PRISON,
),
IncarcerationReleaseEvent(
state_code="US_XX",
event_date=date(2003, 4, 12),
facility="FACILITY X",
county_of_residence=_COUNTY_OF_RESIDENCE,
supervision_type_at_release=
StateSupervisionPeriodSupervisionType.PAROLE,
),
IncarcerationCommitmentFromSupervisionAdmissionEvent(
state_code="US_XX",
event_date=date(2000, 3, 12),
facility="FACILITY X",
county_of_residence=_COUNTY_OF_RESIDENCE,
admission_reason=AdmissionReason.PAROLE_REVOCATION,
admission_reason_raw_text="PAROLE_REVOCATION",
specialized_purpose_for_incarceration=
StateSpecializedPurposeForIncarceration.TREATMENT_IN_PRISON,
supervision_type=StateSupervisionPeriodSupervisionType.PAROLE,
),
]
metrics = self.metric_producer.produce_metrics(
person=person,
identifier_events=incarceration_events,
metric_inclusions=ALL_METRICS_INCLUSIONS_DICT,
calculation_end_month=None,
calculation_month_count=-1,
person_metadata=_DEFAULT_PERSON_METADATA,
pipeline_job_id=PIPELINE_JOB_ID,
pipeline_type=self.pipeline_config.pipeline_type,
)
expected_count = self.expected_metrics_count(incarceration_events)
self.assertEqual(expected_count, len(metrics))
def test_produce_incarceration_metrics_includes_statute_output(self):
person = StatePerson.new_with_defaults(
state_code="US_XX",
person_id=12345,
birthdate=date(1984, 8, 31),
gender=Gender.FEMALE,
)
race = StatePersonRace.new_with_defaults(state_code="US_XX",
race=Race.WHITE)
person.races = [race]
ethnicity = StatePersonEthnicity.new_with_defaults(
state_code="US_XX", ethnicity=Ethnicity.NOT_HISPANIC)
person.ethnicities = [ethnicity]
incarceration_events = [
IncarcerationStayEvent(
state_code="US_XX",
event_date=date(2010, 3, 31),
facility="FACILITY 33",
county_of_residence=_COUNTY_OF_RESIDENCE,
most_serious_offense_ncic_code=_NCIC_CODE,
most_serious_offense_statute=_STATUTE,
specialized_purpose_for_incarceration=
StateSpecializedPurposeForIncarceration.TREATMENT_IN_PRISON,
),
IncarcerationStayEvent(
state_code="US_XX",
event_date=date(2010, 4, 30),
facility="FACILITY 33",
county_of_residence=_COUNTY_OF_RESIDENCE,
most_serious_offense_ncic_code=_NCIC_CODE,
most_serious_offense_statute=_STATUTE,
specialized_purpose_for_incarceration=
StateSpecializedPurposeForIncarceration.TREATMENT_IN_PRISON,
),
IncarcerationStayEvent(
state_code="US_XX",
event_date=date(2010, 5, 31),
facility="FACILITY 33",
county_of_residence=_COUNTY_OF_RESIDENCE,
most_serious_offense_ncic_code=_NCIC_CODE,
most_serious_offense_statute=_STATUTE,
specialized_purpose_for_incarceration=
StateSpecializedPurposeForIncarceration.TREATMENT_IN_PRISON,
),
]
metrics = self.metric_producer.produce_metrics(
person=person,
identifier_events=incarceration_events,
metric_inclusions=ALL_METRICS_INCLUSIONS_DICT,
calculation_end_month=None,
calculation_month_count=-1,
person_metadata=_DEFAULT_PERSON_METADATA,
pipeline_job_id=PIPELINE_JOB_ID,
pipeline_type=self.pipeline_config.pipeline_type,
)
expected_count = self.expected_metrics_count(incarceration_events)
self.assertEqual(expected_count, len(metrics))
assert all(
isinstance(metric, IncarcerationPopulationMetric)
and metric.most_serious_offense_statute is not None
for metric in metrics if metric.person_id is not None)
def test_for_characteristics_races_ethnicities_multiple_races_and_ethnicities(
):
race_white = StatePersonRace.new_with_defaults(state_code='CA',
race=Race.WHITE)
race_black = StatePersonRace.new_with_defaults(state_code='CA',
race=Race.BLACK)
ethnicity_hispanic = StatePersonEthnicity.new_with_defaults(
state_code='CA', ethnicity=Ethnicity.HISPANIC)
ethnicity_not_hispanic = StatePersonEthnicity.new_with_defaults(
state_code='CA', ethnicity=Ethnicity.NOT_HISPANIC)
characteristics = {'age': '<25'}
combinations = calculator_utils.for_characteristics_races_ethnicities(
[race_white, race_black], [ethnicity_hispanic, ethnicity_not_hispanic],
characteristics)
assert combinations == [{}, {
'age': '<25'
}, {
'race': Race.WHITE
}, {
'age': '<25',
'race': Race.WHITE
}, {
'race': Race.BLACK
}, {
'age': '<25',
'race': Race.BLACK
}, {
'ethnicity': Ethnicity.HISPANIC
}, {
'age': '<25',
'ethnicity': Ethnicity.HISPANIC
}, {
'ethnicity': Ethnicity.NOT_HISPANIC
}, {
'age': '<25',
'ethnicity': Ethnicity.NOT_HISPANIC
}, {
'race': Race.WHITE,
'ethnicity': Ethnicity.HISPANIC
}, {
'age': '<25',
'race': Race.WHITE,
'ethnicity': Ethnicity.HISPANIC
}, {
'race': Race.WHITE,
'ethnicity': Ethnicity.NOT_HISPANIC
}, {
'age': '<25',
'race': Race.WHITE,
'ethnicity': Ethnicity.NOT_HISPANIC
}, {
'race': Race.BLACK,
'ethnicity': Ethnicity.HISPANIC
}, {
'age': '<25',
'race': Race.BLACK,
'ethnicity': Ethnicity.HISPANIC
}, {
'race': Race.BLACK,
'ethnicity': Ethnicity.NOT_HISPANIC
}, {
'age': '<25',
'race': Race.BLACK,
'ethnicity': Ethnicity.NOT_HISPANIC
}]