from cjdata.models import STATE_NATL_LOOKUP
STATES_SYNONYMS = [
"{}=>{}".format(v.lower(), k.lower())
for k, v in STATE_NATL_LOOKUP.items()
]
CASE_SENSITVE_SYNONYMS = [
'CFS,CAD=>call_for_service', 'STOP,STOP Violence=>domestic_violence'
]
CJ_SYNONYMS = [
"homicide,murder,kill",
"close management,solitary housing unit,special housing unit,solitary confinement,shu,solitary=>solitary_confinement",
"stop frisk,terry stop,pedestrian stop,stop search,stop question frisk=>terry_stop",
"death penalty,capital punishment", "deconfliction,information sharing",
"arrests,bookings",
"public legal services,indigent defense,public defenders",
"calls service,calls assistance,911 call,dispatc,call_for_serviceh=>call_for_service",
"domestic violence,intimate partner violence,domestic abuse,dating violence,domestic_violence=>domestic_violence",
"use force,officer-involved shooting,death custody,arrest-related death",
"larceny,theft", "prison,jail", "exoneration,pardon,dismissal",
"restitution,victim compensation,compensation",
"juvenile delinquent,juvenile,delinquent", "parole,probation",
"part 1 crime,index crime=>index_crime", "k9,canine=>dog"
]
CJ_SYNONYMS.extend(STATES_SYNONYMS)
DATASET_INDEX_SETTINGS = {
"settings": {
"analysis": {
from cjdata.models import STATE_NATL_LOOKUP
STATES_SYNONYMS = ["{}=>{}".format(v.lower(), k.lower()) for k, v in STATE_NATL_LOOKUP.items()]
CASE_SENSITVE_SYNONYMS = [
'CFS,CAD=>call_for_service',
'STOP,STOP Violence=>domestic_violence'
]
CJ_SYNONYMS = [
"homicide,murder,kill",
"close management,solitary housing unit,special housing unit,solitary confinement,shu,solitary=>solitary_confinement",
"stop frisk,terry stop,pedestrian stop,stop search,stop question frisk=>terry_stop",
"death penalty,capital punishment",
"deconfliction,information sharing",
"arrests,bookings",
"public legal services,indigent defense,public defenders",
"calls service,calls assistance,911 call,dispatc,call_for_serviceh=>call_for_service",
"domestic violence,intimate partner violence,domestic abuse,dating violence,domestic_violence=>domestic_violence",
"use force,officer-involved shooting,death custody,arrest-related death",
"larceny,theft",
"prison,jail",
"exoneration,pardon,dismissal",
"restitution,victim compensation,compensation",
"juvenile delinquent,juvenile,delinquent",
"parole,probation",
"part 1 crime,index crime=>index_crime",
"k9,canine=>dog"
]
CJ_SYNONYMS.extend(STATES_SYNONYMS)
def get_context_data(self, **kwargs):
context = super().get_context_data(**kwargs)
context["location_abbr"] = self.state_abbr
context["location"] = STATE_NATL_LOOKUP.get(self.state_abbr, None)
return context
def get_context_data(self, **kwargs):
context = super(StateDatasetsView, self).get_context_data(**kwargs)
context['location_abbr'] = self.state_abbr
context['location'] = STATE_NATL_LOOKUP.get(self.state_abbr, None)
return context
def get_context_data(self, **kwargs):
context = super().get_context_data(**kwargs)
context['location_abbr'] = self.state_abbr
context['location'] = STATE_NATL_LOOKUP.get(self.state_abbr, None)
return context
def clean_states(states_list):
values_set = (v.strip() for v in states_list)
values_set = ('US' if v.startswith('Nat') else v for v in values_set)
values_set = (v for v in values_set if v in STATE_NATL_LOOKUP.keys())
return list(values_set)
