class ReviewPositiveRuleGroup(RuleGroup):
recorded_hiv_result = ScheduledDataRule(
logic=Logic(
predicate=func_todays_hiv_result_required,
consequence='not_required',
alternative='new'),
target_model=['hivcareadherence', 'hivmedicalcare', 'positiveparticipant'])
recorded_hivresult = ScheduledDataRule(
logic=Logic(
predicate=('recorded_hiv_result', 'equals', 'NEG'),
consequence='new',
alternative='not_required'),
target_model=['stigma', 'stigmaopinion'])
require_todays_hiv_result = ScheduledDataRule(
logic=Logic(
predicate=func_show_microtube,
consequence='new',
alternative='not_required'),
target_model=['hivresult'])
class Meta:
app_label = 'bcpp_subject'
source_fk = (SubjectVisit, 'subject_visit')
source_model = HivTestReview
class SexualBehaviourRuleGroup(RuleGroup):
partners = ScheduledDataRule(
logic=Logic(
predicate=('last_year_partners', 'gte', 1),
consequence='new',
alternative='not_required'),
target_model=['monthsrecentpartner', 'monthssecondpartner', 'monthsthirdpartner'])
last_year_partners = ScheduledDataRule(
logic=Logic(
predicate=('last_year_partners', 'gte', 2),
consequence='new',
alternative='not_required'),
target_model=['monthssecondpartner'])
more_partners = ScheduledDataRule(
logic=Logic(
predicate=('last_year_partners', 'gte', 3),
consequence='new',
alternative='not_required'),
target_model=['monthsthirdpartner'])
ever_sex = ScheduledDataRule(
logic=Logic(
predicate=evaluate_ever_had_sex_for_female,
consequence='new',
alternative='not_required'),
target_model=['reproductivehealth', 'pregnancy', 'nonpregnancy'])
class Meta:
app_label = 'bcpp_subject'
source_fk = (SubjectVisit, 'subject_visit')
source_model = SexualBehaviour
class MedicalDiagnosesRuleGroup(RuleGroup):
""""Allows the heartattack, cancer, tb forms to be made available whether or not the participant
has a record. see redmine 314."""
heart_attack_record = ScheduledDataRule(
logic=Logic(
predicate=('heart_attack_record', 'equals', 'Yes'),
consequence='new',
alternative='not_required'),
target_model=['heartattack'])
cancer_record = ScheduledDataRule(
logic=Logic(
predicate=('cancer_record', 'equals', 'Yes'),
consequence='new',
alternative='not_required'),
target_model=['cancer'])
tb_record_tubercolosis = ScheduledDataRule(
logic=Logic(
predicate=('tb_record', 'equals', 'Yes'),
consequence='new',
alternative='not_required'),
target_model=['tubercolosis'])
class Meta:
app_label = 'bcpp_subject'
source_fk = (SubjectVisit, 'subject_visit')
source_model = MedicalDiagnoses
class BaseRequisitionRuleGroup(RuleGroup):
"""Ensures an RBD requisition if HIV result is POS."""
rbd_for_pos = RequisitionRule(
logic=Logic(
predicate=func_rbd,
consequence='new',
alternative='not_required'),
target_model=[('bcpp_lab', 'subjectrequisition')],
target_requisition_panels=['Research Blood Draw'], )
vl_for_pos = RequisitionRule(
logic=Logic(
predicate=func_vl,
consequence='new',
alternative='not_required'),
target_model=[('bcpp_lab', 'subjectrequisition')],
target_requisition_panels=['Viral Load'], )
"""Ensures a Microtube is not required for POS."""
microtube_for_neg = RequisitionRule(
logic=Logic(
predicate=func_show_microtube,
consequence='new',
alternative='not_required'),
target_model=[('bcpp_lab', 'subjectrequisition')],
target_requisition_panels=['Microtube'], )
pima_for_art_naive = ScheduledDataRule(
logic=Logic(
predicate=func_require_pima,
consequence='new',
alternative='not_required'),
target_model=['pima'])
# pimavl_for_art_naive = ScheduledDataRule(
# logic=Logic(
# predicate=func_art_naive,
# consequence='new',
# alternative='not_required'),
# target_model=['pimavl'])
hic = ScheduledDataRule(
logic=Logic(
predicate=func_show_hic_enrollment,
consequence='new',
alternative='not_required'),
target_model=['hicenrollment'])
class Meta:
abstract = True
class CessationRuleGroup(RuleGroup):
feeding_survey = ScheduledDataRule(
logic=Logic(predicate=func_feeding_survey,
consequence='new',
alternative='none'),
target_model=['PostNatalInfantFeedingSurvey'])
offstudy = ScheduledDataRule(logic=Logic(predicate=func_offstudy,
consequence='new',
alternative='none'),
target_model=['MaternalOffStudy'])
class Meta:
app_label = 'mpepu_maternal'
source_fk = None
source_model = RegisteredSubject
class MaternalArvPregRuleGroup(RuleGroup):
took_arv = ScheduledDataRule(logic=Logic(predicate=('took_arv', 'equals',
'Yes'),
consequence='new',
alternative='not_required'),
target_model=['maternalarvpreghistory'])
start_pp = ScheduledDataRule(logic=Logic(predicate=('start_pp', 'equals',
'Yes'),
consequence='new',
alternative='not_required'),
target_model=['maternalarvpphistory'])
class Meta:
app_label = 'mpepu_maternal'
source_fk = (MaternalVisit, 'maternal_visit')
source_model = MaternalArvPreg
class InfantFuRuleGroup(RuleGroup):
diarrhea_illness = ScheduledDataRule(logic=Logic(
predicate=('diarrhea_illness', 'equals', 'No'),
consequence='not_required',
alternative='new'),
target_model=['Infantfud'])
has_dx = ScheduledDataRule(logic=Logic(predicate=('has_dx', 'equals',
'No'),
consequence='not_required',
alternative='new'),
target_model=['Infantfudx'])
class Meta:
app_label = 'mpepu_infant'
source_fk = (InfantVisit, 'infant_visit')
source_model = InfantFu
class GenderRuleGroup(RuleGroup):
female = ScheduledDataRule(logic=Logic(predicate=('gender', 'equals', 'f'),
consequence='not_required',
alternative='new'),
target_model=[
'htccircumcision', 'malefollowup',
'circumcisionappointment'
])
male = ScheduledDataRule(logic=Logic(predicate=('gender', 'equals', 'm'),
consequence='not_required',
alternative='new'),
target_model=['pregnantfollowup'])
class Meta:
app_label = 'bcpp_htc_subject'
filter_model = (HtcSubjectVisit, 'htc_subject_visit')
source_model = RegisteredSubject
class ResourceUtilizationRuleGroup(RuleGroup):
out_patient = ScheduledDataRule(
logic=Logic(
predicate=(('out_patient', 'equals', 'no'), ('out_patient', 'equals', 'Refuse', 'or')),
consequence='not_required',
alternative='new'),
target_model=['outpatientcare'])
hospitalized = ScheduledDataRule(
logic=Logic(
predicate=('hospitalized', 'equals', 0),
consequence='not_required',
alternative='new'),
target_model=['hospitaladmission'])
class Meta:
app_label = 'bcpp_subject'
source_fk = (SubjectVisit, 'subject_visit')
source_model = ResourceUtilization
class ReproductiveRuleGroup(RuleGroup):
currently_pregnant = ScheduledDataRule(
logic=Logic(
predicate=(('currently_pregnant', 'equals', 'Yes'), ('menopause', 'equals', 'No', 'and')),
consequence='new',
alternative='not_required'),
target_model=['pregnancy'])
non_pregnant = ScheduledDataRule(
logic=Logic(
predicate=(('currently_pregnant', 'equals', 'No'), ('menopause', 'equals', 'No', 'and')),
consequence='new',
alternative='not_required'),
target_model=['nonpregnancy'])
class Meta:
app_label = 'bcpp_subject'
source_fk = (SubjectVisit, 'subject_visit')
source_model = ReproductiveHealth
class CircumcisionRuleGroup(RuleGroup):
circumcised = ScheduledDataRule(
logic=Logic(
predicate=('circumcised', 'equals', 'Yes'),
consequence='new',
alternative='not_required'),
target_model=['circumcised'])
uncircumcised = ScheduledDataRule(
logic=Logic(
predicate=('circumcised', 'equals', 'No'),
consequence='new',
alternative='not_required'),
target_model=['uncircumcised'])
class Meta:
app_label = 'bcpp_subject'
source_fk = (SubjectVisit, 'subject_visit')
source_model = Circumcision
class HivCareAdherenceRuleGroup(RuleGroup):
medical_care = ScheduledDataRule(
logic=Logic(
predicate=('medical_care', 'equals', 'Yes'),
consequence='new',
alternative='not_required'),
target_model=['hivmedicalcare'])
pima_for_art_naive = ScheduledDataRule(
logic=Logic(
predicate=func_require_pima,
consequence='new',
alternative='not_required'),
target_model=['pima'])
# pimavl_for_art_naive = ScheduledDataRule(
# logic=Logic(
# predicate=func_art_naive,
# consequence='new',
# alternative='not_required'),
# target_model=['pimavl'])
require_todays_hiv_result = ScheduledDataRule(
logic=Logic(
predicate=func_show_microtube,
consequence='new',
alternative='not_required'),
target_model=['hivresult'])
hiv_linkage_to_care_art_naive = ScheduledDataRule(
logic=Logic(
predicate=func_art_naive_at_annual_or_defaulter,
consequence='new',
alternative='not_required'),
target_model=['hivlinkagetocare'])
class Meta:
app_label = 'bcpp_subject'
source_fk = (SubjectVisit, 'subject_visit')
source_model = HivCareAdherence
class InfantArvProphRuleGroup(RuleGroup):
prophylatic_nvp = ScheduledDataRule(logic=Logic(
predicate=('prophylatic_nvp', 'equals', 'No'),
consequence='not_required',
alternative='new'),
target_model=['infantnvpadherence'])
class Meta:
app_label = 'mpepu_infant'
source_fk = (InfantVisit, 'infant_visit')
source_model = InfantArvProph
class FeedingChoiceRuleGroup(RuleGroup):
first_time_feeding = ScheduledDataRule(
logic=Logic(predicate=('first_time_feeding', 'equals', 'No'),
consequence='new',
alternative='not_required'),
target_model=[
'feedingchoicesectionone', 'feedingchoicesectiontwo',
'feedingchoicesectionthree'
])
first_time_feeding_yes = ScheduledDataRule(
logic=Logic(predicate=('first_time_feeding', 'equals', 'Yes'),
consequence='new',
alternative='none'),
target_model=['feedingchoicesectiontwo', 'feedingchoicesectionthree'])
class Meta:
app_label = 'mpepu_maternal'
source_fk = (MaternalVisit, 'maternal_visit')
source_model = FeedingChoice
class InfantBirthDataRuleGroup(RuleGroup):
congenital_anomalities = ScheduledDataRule(
logic=Logic(predicate=('congenital_anomalities', 'equals', 'Yes'),
consequence='new',
alternative='not_required'),
target_model=['infantcongenitalanomalies'])
class Meta:
app_label = 'mpepu_infant'
source_fk = (InfantVisit, 'infant_visit')
source_model = InfantBirthData
class HivTestingHistoryRuleGroup(RuleGroup):
hiv_record = ScheduledDataRule(logic=Logic(predicate=('hiv_record',
'equals', 'Yes'),
consequence='new',
alternative='not_required'),
target_model=['lasthivrecord'])
class Meta:
app_label = 'bcpp_htc_subject'
filter_model = (HtcSubjectVisit, 'htc_subject_visit')
source_model = HtcHivTestingHistory
class ViralLoadTrackingRuleGroup(RuleGroup):
is_drawn = ScheduledDataRule(logic=Logic(predicate=('is_drawn', 'equals',
'Yes'),
consequence='new',
alternative='not_required'),
target_model=['clinicvlresult'])
class Meta:
app_label = 'bcpp_clinic'
source_fk = (ClinicVisit, 'clinic_visit')
source_model = ViralLoadTracking
class InfantStudyDrugRuleGroup(RuleGroup):
on_placebo_status = ScheduledDataRule(logic=Logic(
predicate=('on_placebo_status', 'equals', 'No'),
consequence='not_required',
alternative='new'),
target_model=['infantctxplaceboadh'])
class Meta:
app_label = 'mpepu_infant'
source_fk = (InfantVisit, 'infant_visit')
source_model = InfantStudyDrug
class HivResultRuleGroup(RuleGroup):
todays_result = ScheduledDataRule(
logic=Logic(predicate=('todays_result', 'equals', 'NEG'),
consequence='not_required',
alternative='new'),
target_model=['Cd4test', 'positivefollowup'])
class Meta:
app_label = 'bcpp_htc_subject'
filter_model = (HtcSubjectVisit, 'htc_subject_visit')
source_model = HtcHivResult
class RequisitionRuleGroup1(BaseRequisitionRuleGroup):
"""Ensures an ELISA blood draw requisition if HIV result is IND."""
elisa_for_ind = RequisitionRule(
logic=Logic(
predicate=func_hiv_indeterminate_today,
consequence='new',
alternative='not_required'),
target_model=[('bcpp_lab', 'subjectrequisition')],
target_requisition_panels=['ELISA', ], )
"""Ensures a venous blood draw requisition is required if insufficient
volume in the capillary (microtube)."""
venous_for_vol = RequisitionRule(
logic=Logic(
predicate=(('insufficient_vol', 'equals', 'Yes'), ('blood_draw_type', 'equals', 'venous', 'or'),),
consequence='new',
alternative='not_required'),
target_model=[('bcpp_lab', 'subjectrequisition')],
target_requisition_panels=['Venous (HIV)'], )
serve_sti_form = ScheduledDataRule(
logic=Logic(
predicate=func_hiv_positive_today,
consequence='new',
alternative='not_required'),
target_model=['sti'])
elisa_result = ScheduledDataRule(
logic=Logic(
predicate=func_hiv_indeterminate_today,
consequence='new',
alternative='not_required'),
target_model=['elisahivresult'])
class Meta:
app_label = 'bcpp_subject'
source_fk = (SubjectVisit, 'subject_visit')
source_model = HivResult
class MasaRuleGroup(RuleGroup):
is_drawn = ScheduledDataRule(logic=Logic(predicate=(('registration_type',
'equals',
'masa_vl_scheduled')),
consequence='new',
alternative='not_required'),
target_model=['viralloadtracking'])
class Meta:
app_label = 'bcpp_clinic'
source_fk = (ClinicVisit, 'clinic_visit')
source_model = Questionnaire
class MaternalArvPostRuleGroup(RuleGroup):
haart = ScheduledDataRule(logic=Logic(predicate=(('haart_last_visit',
'equals', 'No'),
('arv_status', 'equals',
'never started', 'or')),
consequence='not_required',
alternative='new'),
target_model=['maternalarvpostadh'])
class Meta:
app_label = 'mpepu_maternal'
source_fk = (MaternalVisit, 'maternal_visit')
source_model = MaternalArvPost
class MaternalEnrollRuleGroup(RuleGroup):
prev_pregnancies = ScheduledDataRule(logic=Logic(
predicate=('prev_pregnancies', 'equals', 0),
consequence='not_required',
alternative='new'),
target_model=['maternalenrollob'])
prior_health_haart = ScheduledDataRule(logic=Logic(
predicate=('prior_health_haart', 'equals', 'Yes'),
consequence='new',
alternative='not_required'),
target_model=['maternalenrollarv'])
prev_pregnancy_arv = ScheduledDataRule(logic=Logic(
predicate=('prev_pregnancy_arv', 'equals', 'Yes'),
consequence='new',
alternative='not_required'),
target_model=['maternalenrollclin'])
class Meta:
app_label = 'mpepu_maternal'
source_fk = (MaternalVisit, 'maternal_visit')
source_model = MaternalEnroll
class HivTestingConsentRuleGroup(RuleGroup):
todays_result = ScheduledDataRule(logic=Logic(predicate=('testing_today',
'equals', 'No'),
consequence='not_required',
alternative='new'),
target_model=[
'Cd4test', 'positivefollowup',
'pregnantfollowup', 'malefollowup',
'circumcisionappointment'
])
class Meta:
app_label = 'bcpp_htc_subject'
filter_model = (HtcSubjectVisit, 'htc_subject_visit')
source_model = HivTestingConsent
class HivTestingHistoryRuleGroup(RuleGroup):
has_record = ScheduledDataRule(
logic=Logic(
predicate=('has_record', 'equals', 'Yes'),
consequence='new',
alternative='not_required'),
target_model=['hivtestreview'])
has_tested = ScheduledDataRule(
logic=Logic(
predicate=('has_tested', 'equals', 'Yes'),
consequence='new',
alternative='not_required'),
target_model=['hivtested'])
hiv_untested = ScheduledDataRule(
logic=Logic(
predicate=func_hiv_untested,
consequence='new',
alternative='not_required'),
target_model=['hivuntested'])
other_record = ScheduledDataRule(
logic=Logic(
predicate=('other_record', 'equals', 'Yes'),
consequence='new',
alternative='not_required'),
target_model=['hivresultdocumentation'])
require_todays_hiv_result = ScheduledDataRule(
logic=Logic(
predicate=func_show_microtube,
consequence='new',
alternative='not_required'),
target_model=['hivresult'])
verbal_hiv_result_hiv_care_baseline = ScheduledDataRule(
logic=Logic(
predicate=('verbal_hiv_result', 'equals', 'POS'),
consequence='new',
alternative='not_required'),
target_model=['hivcareadherence', 'positiveparticipant', 'hivmedicalcare', 'hivhealthcarecosts'])
verbal_response = ScheduledDataRule(
logic=Logic(
predicate=('verbal_hiv_result', 'equals', 'NEG'),
consequence='new',
alternative='not_required'),
target_model=['stigma', 'stigmaopinion'])
other_response = ScheduledDataRule(
logic=Logic(
predicate=func_no_verbal_hiv_result,
consequence='not_required',
alternative='none'),
target_model=['hivcareadherence', 'hivmedicalcare', 'positiveparticipant', 'stigma', 'stigmaopinion'])
def method_result(self):
return True
class Meta:
app_label = 'bcpp_subject'
source_fk = (SubjectVisit, 'subject_visit')
source_model = HivTestingHistory
class RegisteredSubjectRuleGroup(RuleGroup):
gender_circumsion = ScheduledDataRule(
logic=Logic(
predicate=func_should_not_show_circumsition,
consequence='not_required',
alternative='new'),
target_model=['circumcision', 'circumcised', 'uncircumcised'])
gender_menopause = ScheduledDataRule(
logic=Logic(
predicate=is_gender_male,
consequence='not_required',
alternative='new'),
target_model=['reproductivehealth', 'pregnancy', 'nonpregnancy'])
known_pos_in_y1 = ScheduledDataRule(
logic=Logic(
predicate=func_known_pos_in_prev_year,
consequence='not_required',
alternative='new'),
target_model=['hivtestreview', 'hivtested', 'hivtestinghistory', 'hivresultdocumentation', 'hivresult', 'hivuntested'])
pima_art_naive_enrollment_req_ahs = ScheduledDataRule(
logic=Logic(
predicate=func_require_pima,
consequence='new',
alternative='not_required'),
target_model=['pima'])
hiv_linkage_to_care = ScheduledDataRule(
logic=Logic(
predicate=func_hiv_neg_linkage_to_care,
consequence='not_required',
alternative='new'),
target_model=['hivlinkagetocare'])
require_microtube = RequisitionRule(
logic=Logic(
predicate=func_show_microtube,
consequence='new',
alternative='not_required'),
target_model=[('bcpp_lab', 'subjectrequisition')],
target_requisition_panels=['Microtube'])
vl_for_pos = RequisitionRule(
logic=Logic(
predicate=func_vl,
consequence='new',
alternative='not_required'),
target_model=[('bcpp_lab', 'subjectrequisition')],
target_requisition_panels=['Viral Load'], )
rbd_for_pos = RequisitionRule(
logic=Logic(
predicate=func_rbd,
consequence='new',
alternative='not_required'),
target_model=[('bcpp_lab', 'subjectrequisition')],
target_requisition_panels=['Research Blood Draw'], )
class Meta:
app_label = 'bcpp_subject'
source_fk = None
source_model = RegisteredSubject