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 }]