def columns(self):
return [
DatabaseColumn('Product Name', SimpleColumn('product_name')),
DatabaseColumn("Commandes", SumColumn('commandes_total')),
DatabaseColumn("Recu", SumColumn('recus_total'))
]
def columns(self):
diff = lambda x, y: (x or 0) - (y or 0)
def get_prd_name(id):
try:
return SQLProduct.objects.get(product_id=id, domain=self.config['domain'],
is_archived=False).name
except SQLProduct.DoesNotExist:
pass
return [
DatabaseColumn(_("Designations"), SimpleColumn('product_id'),
format_fn=lambda id: get_prd_name(id)),
DatabaseColumn(_("Stock apres derniere livraison"), SumColumn('product_old_stock_total')),
DatabaseColumn(_("Stock disponible et utilisable a la livraison"), SumColumn('product_total_stock')),
DatabaseColumn(_("Livraison"), SumColumn('product_livraison')),
DatabaseColumn(_("Stock Total"), SumColumn('product_display_total_stock', alias='stock_total')),
DatabaseColumn(_("Precedent"), SumColumn('product_old_stock_pps')),
DatabaseColumn(_("Recu hors entrepots mobiles"), SumColumn('product_outside_receipts_amount')),
AggregateColumn(_("Non Facturable"), diff,
[AliasColumn('aconsumption'), AliasColumn("bconsumption")]),
DatabaseColumn(_("Facturable"), SumColumn('product_billed_consumption', alias='bconsumption')),
DatabaseColumn(_("Reelle"), SumColumn('product_actual_consumption', alias='aconsumption')),
DatabaseColumn("Stock Total", AliasColumn('stock_total')),
DatabaseColumn("PPS Restant", SumColumn('product_pps_restant')),
DatabaseColumn("Pertes et Adjustement", SumColumn('product_loss_amt'))
]
def columns(self):
return [
DatabaseColumn('# of Beneficiaries Registered', SumColumn('beneficiaries_registered_total')),
DatabaseColumn('# of Pregnant Women Registered', SumColumn('lmp_total')),
DatabaseColumn('# of Mothers of Children Aged 3 Years and Below Registered', SumColumn('lactating_total')),
DatabaseColumn('# of Children Between 0 and 3 Years of Age Registered', SumColumn('children_total')),
]
def columns(self):
diff = lambda x, y: (x or 0) - (y or 0)
return [
DatabaseColumn(_("Designations"), SimpleColumn('product_name')),
DatabaseColumn(_("Stock apres derniere livraison"),
SumColumn('product_old_stock_total')),
DatabaseColumn(_("Stock disponible et utilisable a la livraison"),
SumColumn('product_total_stock')),
DatabaseColumn(_("Livraison"), SumColumn('product_livraison')),
DatabaseColumn(
_("Stock Total"),
SumColumn('product_display_total_stock', alias='stock_total')),
DatabaseColumn(_("Precedent"), SumColumn('product_old_stock_pps')),
DatabaseColumn(_("Recu hors entrepots mobiles"),
SumColumn('product_outside_receipts_amount')),
AggregateColumn(
_("Non Facturable"), diff,
[AliasColumn('aconsumption'),
AliasColumn("bconsumption")]),
DatabaseColumn(
_("Facturable"),
SumColumn('product_billed_consumption', alias='bconsumption')),
DatabaseColumn(
_("Reelle"),
SumColumn('product_actual_consumption', alias='aconsumption')),
DatabaseColumn("Stock Total", AliasColumn('stock_total')),
DatabaseColumn("PPS Restant", SumColumn('product_pps_restant')),
DatabaseColumn("Pertes et Adjustement",
SumColumn('product_loss_amt'))
]
def columns(self):
cols = [
self.location_column,
dynamic_date_aggregation(DatabaseColumn(
"Incidents of Abuse",
SumColumn('incidents_total',
filters=self.filters +
[BETWEEN('date_reported', 'startdate', 'enddate')] +
self.filters),
),
date_column='date_reported'),
dynamic_date_aggregation(DatabaseColumn(
"Outreach activities",
SumColumn('outreach_total',
filters=self.filters +
[BETWEEN('date', 'startdate', 'enddate')])),
date_column='date'),
dynamic_date_aggregation(DatabaseColumn(
"IGA Reports",
SumColumn('iga_total',
filters=self.filters +
[BETWEEN('start_date', 'startdate', 'enddate')])),
date_column='start_date'),
AggregateColumn("Total", self.sum, [
AliasColumn('incidents_total'),
AliasColumn('outreach_total')
]),
]
cols[0] = self.date_column
return cols
def columns(self):
return [
DatabaseColumn("Live birth (Male)",
SumColumn('number_of_boys_total', alias='girls')),
DatabaseColumn("Live birth (Female)",
SumColumn('number_of_girls_total', alias='boys'))
]
def columns(self):
return [
DatabaseColumn("User ID", SimpleColumn("user_id")),
DatabaseColumn("Women registered",
SumColumn("women_registered_total")),
DatabaseColumn("Children registered",
SumColumn("children_registered_total"))
]
def columns(self):
return [
DatabaseColumn("Case ID", SimpleColumn("case_id")),
DatabaseColumn("Growth Monitoring Total",
SumColumn("growth_monitoring_total")),
DatabaseColumn("Service Forms Total",
SumColumn("service_forms_total")),
]
def columns(self):
return [
self.location_column,
DatabaseColumn("Children per household experiencing abuse",
SumColumn('abuse_children_abused_total')),
DatabaseColumn("Total number of children in household",
SumColumn('abuse_children_in_household_total')),
]
def columns(self):
columns = [DatabaseColumn(_("District"), SimpleColumn('district_name'))]
columns.append(DatabaseColumn(_(u"Montant dû"), SumColumn('payments_amount_to_pay')))
columns.append(DatabaseColumn(_(u"Montant payé"), SumColumn('payments_amount_paid')))
columns.append(DatabaseColumn(_(u"Payé dans le 30 jours"), SumColumn('payments_in_30_days')))
columns.append(DatabaseColumn(_(u"Payé dans le 3 mois"), SumColumn('payments_in_3_months')))
columns.append(DatabaseColumn(_(u"Payé dans l`annèe"), SumColumn('payments_in_year')))
return columns
def columns(self):
return [
self.location_column,
DatabaseColumn("Incidents of Abuse", SumColumn('incidents_total')),
DatabaseColumn("Outreach activities", SumColumn('outreach_total')),
DatabaseColumn("IGA Reports", SumColumn('iga_total')),
AggregateColumn(
"Total", self.sum,
[AliasColumn('incidents_total'), AliasColumn('outreach_total')]),
]
def columns(self):
return [
DatabaseColumn(
'Product Name',
SimpleColumn('product_code'),
format_fn=lambda code: SQLProduct.objects.get(
code=code, domain=self.config['domain'
], is_archived=False).name),
DatabaseColumn("Commandes", SumColumn('commandes_total')),
DatabaseColumn("Recu", SumColumn('recus_total'))
]
def columns(self):
diff = lambda x, y: (x or 0) - (y or 0)
return [
DatabaseColumn(_("LISTE des PPS"), SimpleColumn('PPS_name')),
DatabaseColumn(_("Consommation Reelle"),
SumColumn('actual_consumption_total', alias='actual_consumption')),
DatabaseColumn(_("Consommation Facturable"),
SumColumn('billed_consumption_total', alias='billed_consumption')),
AggregateColumn(_("Consommation Non Facturable"), diff,
[AliasColumn('actual_consumption'), AliasColumn('billed_consumption')]),
]
def columns(self):
cols = [
self.location_column,
dynamic_date_aggregation(DatabaseColumn(
"Counselling",
SumColumn('service_counselling_total',
filters=self.filters +
[BETWEEN('date_reported', 'startdate', 'enddate')])),
date_column='date_reported'),
dynamic_date_aggregation(DatabaseColumn(
"Psychosocial Support",
SumColumn('service_psychosocial_support_total',
filters=self.filters +
[BETWEEN('date_reported', 'startdate', 'enddate')])),
date_column='date_reported'),
dynamic_date_aggregation(DatabaseColumn(
"First Aid",
SumColumn('service_first_aid_total',
filters=self.filters +
[BETWEEN('date_reported', 'startdate', 'enddate')])),
date_column='date_reported'),
dynamic_date_aggregation(DatabaseColumn(
"Shelter",
SumColumn('service_shelter_total',
filters=self.filters +
[BETWEEN('date_reported', 'startdate', 'enddate')])),
date_column='date_reported'),
dynamic_date_aggregation(DatabaseColumn(
"Referral",
SumColumn('service_referral_total',
filters=self.filters + [
BETWEEN('date_reported_mediated', 'startdate',
'enddate')
])),
date_column='date_reported_mediated'),
dynamic_date_aggregation(DatabaseColumn(
"Mediation",
SumColumn('service_mediation_total',
filters=self.filters +
[BETWEEN('date_reported', 'startdate', 'enddate')])),
date_column='date_reported'),
dynamic_date_aggregation(DatabaseColumn(
"Other",
SumColumn('service_other_total',
filters=self.filters +
[BETWEEN('date_reported', 'startdate', 'enddate')])),
date_column='date_reported'),
dynamic_date_aggregation(DatabaseColumn(
"Total",
SumColumn('service_total_total',
filters=self.filters + [
BETWEEN('date_reported_mediated', 'startdate',
'enddate')
])),
date_column='date_reported_mediated'),
]
cols[0] = self.date_column
return cols
def columns(self):
return [
DatabaseColumn('# of Beneficiaries Attending VHND Monthly', SumColumn('vhnd_monthly_total')),
DatabaseColumn('# of Pregnant Women Who Have Received at least 30 IFA Tablets', SumColumn('ifa_tablets_total')),
DatabaseColumn('# of Pregnant Women Whose Weight Gain Was Monitored At Least Once', SumColumn('weight_once_total')),
DatabaseColumn('# of Pregnant Women Whose Weight Gain Was Monitored Twice', SumColumn('weight_twice_total')),
DatabaseColumn('# of Children Whose Weight Was Monitored at Birth', SumColumn('children_monitored_at_birth_total')),
DatabaseColumn('# of Children Whose Birth Was Registered', SumColumn('children_registered_total')),
DatabaseColumn('# of Children Who Have Attended At Least 1 Growth Monitoring Session', SumColumn('growth_monitoring_session_1_total')),
DatabaseColumn('# of Children Who Have Attended At Least 2 Growth Monitoring Sessions', SumColumn('growth_monitoring_session_2_total')),
DatabaseColumn('# of Children Who Have Attended At Least 3 Growth Monitoring Sessions', SumColumn('growth_monitoring_session_3_total')),
DatabaseColumn('# of Children Who Have Attended At Least 4 Growth Monitoring Sessions', SumColumn('growth_monitoring_session_4_total')),
DatabaseColumn('# of Children Who Have Attended At Least 5 Growth Monitoring Sessions', SumColumn('growth_monitoring_session_5_total')),
DatabaseColumn('# of Children Who Have Attended At Least 6 Growth Monitoring Sessions', SumColumn('growth_monitoring_session_6_total')),
DatabaseColumn('# of Children Who Have Attended At Least 7 Growth Monitoring Sessions', SumColumn('growth_monitoring_session_7_total')),
DatabaseColumn('# of Children Who Have Attended At Least 8 Growth Monitoring Sessions', SumColumn('growth_monitoring_session_8_total')),
DatabaseColumn('# of Children Who Have Attended At Least 9 Growth Monitoring Sessions', SumColumn('growth_monitoring_session_9_total')),
DatabaseColumn('# of Children Who Have Attended At Least 10 Growth Monitoring Sessions', SumColumn('growth_monitoring_session_10_total')),
DatabaseColumn('# of Children Who Have Attended At Least 11 Growth Monitoring Sessions', SumColumn('growth_monitoring_session_11_total')),
DatabaseColumn('# of Children Who Have Attended At Least 12 Growth Monitoring Sessions', SumColumn('growth_monitoring_session_12_total')),
DatabaseColumn('# of Children Whose Nutritional Status is Normal', SumColumn('nutritional_status_normal_total')),
DatabaseColumn('# of Children Whose Nutritional Status is "MAM"', SumColumn('nutritional_status_mam_total')),
DatabaseColumn('# of Children Whose Nutritional Status is "SAM"', SumColumn('nutritional_status_sam_total')),
DatabaseColumn('# of Children Who Have Received ORS and Zinc Treatment if He/She Contracts Diarrhea', SumColumn('treated_total')),
DatabaseColumn('# of Children Who Have Received ORS and Zinc Treatment if He/She Contracts Diarrhea', SumColumn('suffering_total')),
DatabaseColumn('# of Mothers of Children Aged 3 Years and Below Who Reported to Have Exclusively Breastfed Their Children for First 6 Months', SumColumn('excbreastfed_total')),
DatabaseColumn('# of Children Who Received Measles Vaccine', SumColumn('measlesvacc_total')),
]
def columns(self):
cat_group = DataTablesColumnGroup("Category of abuse")
return [
self.location_column,
DatabaseColumn("Physical",
SumColumn('abuse_category_physical_total'),
header_group=cat_group),
DatabaseColumn("Sexual",
SumColumn('abuse_category_sexual_total'),
header_group=cat_group),
DatabaseColumn("Emotional",
SumColumn('abuse_category_psychological_total'),
header_group=cat_group),
DatabaseColumn("Neglect",
SumColumn('abuse_category_neglect_total'),
header_group=cat_group),
DatabaseColumn("Exploitation",
SumColumn('abuse_category_exploitation_total'),
header_group=cat_group),
DatabaseColumn("Other",
SumColumn('abuse_category_other_total'),
header_group=cat_group),
DatabaseColumn("Total incidents reported",
SumColumn('abuse_category_total_total'),
header_group=cat_group)
]
def columns(self):
return [
DatabaseColumn("Still births",
SumColumn('number_of_children_born_dead_total')
),
DatabaseColumn("Abortions",
CountUniqueColumn('doc_id', alias="abortions", filters=self.filters + [EQ('reason_for_mother_closure', 'abortion')]),
),
]
def columns(self):
columns = []
if 'region_id' in self.config:
columns.append(DatabaseColumn(_("District"), SimpleColumn('district_name')))
else:
columns.append(DatabaseColumn(_("PPS"), SimpleColumn('PPS_name')))
columns.append(DatabaseColumn(_("Stock total"), SumColumn('total_stock_total')))
return columns
def columns(self):
columns = []
if 'region_id' in self.config:
columns.append(DatabaseColumn(_("District"), SimpleColumn('district_name')))
else:
columns.append(DatabaseColumn(_("PPS"), SimpleColumn('PPS_name')))
columns.append(DatabaseColumn(_("Consumption"), SumColumn('actual_consumption_total')))
return columns
def columns(self):
return [
self.location_column,
DatabaseColumn("Counselling", SumColumn('service_counselling_total')),
DatabaseColumn("Psychosocial Support", SumColumn('service_psychosocial_support_total')),
DatabaseColumn("First Aid", SumColumn('service_first_aid_total')),
DatabaseColumn("Shelter", SumColumn('service_shelter_total')),
DatabaseColumn("Referral", SumColumn('service_referral_total')),
DatabaseColumn("Mediation", SumColumn('service_mediation_total')),
DatabaseColumn("Other", SumColumn('service_other_total')),
DatabaseColumn("Total", SumColumn('service_total_total')),
]
def columns(self):
columns = self.get_columns_by_loc_level
agg_columns = [
AggregateColumn(
'Percentage AWCs reported clean drinking water',
percent_or_not_entered, [
SumColumn('infra_clean_water'),
SumColumn('num_awc_infra_last_update', alias='awcs')
],
slug='percent_with_drinking_water'),
AggregateColumn(
'Percentage AWCs reported functional toilet',
percent_or_not_entered,
[SumColumn('infra_functional_toilet'),
AliasColumn('awcs')],
slug='percent_with_functional_toilet'),
AggregateColumn(
'Percentage AWCs reported medicine kit',
percent_or_not_entered,
[SumColumn('infra_medicine_kits'),
AliasColumn('awcs')],
slug='percent_with_medicine_kit'),
AggregateColumn('Percentage AWCs reported weighing scale: infants',
percent_or_not_entered, [
SumColumn('infra_infant_weighing_scale'),
AliasColumn('awcs')
],
slug='percent_baby_scale'),
AggregateColumn(
'Percentage AWCs reported weighing scale: mother and child',
percent_or_not_entered,
[SumColumn('infra_adult_weighing_scale'),
AliasColumn('awcs')],
slug='percent_adult_scale')
]
if self.beta:
agg_columns += [
AggregateColumn(
'Percentage AWCs reported Infantometer',
percent_or_not_entered,
[SumColumn('infantometer'),
AliasColumn('awcs')],
slug='percent_with_infantometer'),
AggregateColumn(
'Percentage AWCs reported Stadiometer',
percent_or_not_entered,
[SumColumn('stadiometer'),
AliasColumn('awcs')],
slug='percent_with_stadiometer')
]
return columns + agg_columns
def columns(self):
columns = self.get_columns_by_loc_level
agg_columns = [
DatabaseColumn(
'num_children_0_6mo_enrolled_for_services',
SumColumn('valid_in_month',
filters=self.filters + [
OR([
RawFilter("age_tranche = '0'"),
RawFilter("age_tranche = '6'")
])
],
alias='num_children_0_6mo_enrolled_for_services'),
slug='num_children_0_6mo_enrolled_for_services'),
DatabaseColumn(
'num_children_6mo3yr_enrolled_for_services',
SumColumn('valid_in_month',
filters=self.filters + [
OR([
RawFilter("age_tranche = '12'"),
RawFilter("age_tranche = '24'"),
RawFilter("age_tranche = '36'")
])
],
alias='num_children_6mo3yr_enrolled_for_services'),
slug='num_children_6mo3yr_enrolled_for_services'),
DatabaseColumn(
'num_children_3yr6yr_enrolled_for_services',
SumColumn('valid_in_month',
filters=self.filters + [
OR([
RawFilter("age_tranche = '48'"),
RawFilter("age_tranche = '60'"),
RawFilter("age_tranche = '72'")
])
],
alias='num_children_3yr6yr_enrolled_for_services'),
slug='num_children_3yr6yr_enrolled_for_services'),
]
return columns + agg_columns
def columns(self):
return [
DatabaseColumn("Case ID", SimpleColumn("case_id")),
DatabaseColumn("Bp1 Cash Total", SumColumn("bp1_cash_total")),
DatabaseColumn("Bp2 Cash Total", SumColumn("bp2_cash_total")),
DatabaseColumn("Child Followup Total", SumColumn("child_followup_total")),
DatabaseColumn("Child Spacing Deliveries", SumColumn("child_spacing_deliveries")),
DatabaseColumn("Delivery Total", SumColumn("delivery_total")),
DatabaseColumn("Growth Monitoring Total", SumColumn("growth_monitoring_total")),
DatabaseColumn("Service Forms Total", SumColumn("service_forms_total")),
]
def columns(self):
case_table_name = '%s%s_%s' % (TABLE_PREFIX, self.domain.name,
MAPPING_NAME_CASES)
case_ownership_table_name = '%s%s_%s' % (
TABLE_PREFIX, self.domain.name, MAPPING_NAME_CASE_OWNERSHIP)
case_type_filters = [filters.NOTEQ('case_type', 'ccCaseType')]
columns = [
DatabaseColumn("case",
SimpleColumn('user_id'),
format_fn=self.get_user_case_id,
sortable=False),
DatabaseColumn('formsSubmittedWeek0',
CountColumn('date', alias='formsSubmittedWeek0'),
sortable=False),
DatabaseColumn('formsSubmittedWeek1',
CountColumn('date',
filters=filters_week1,
alias='formsSubmittedWeek1'),
sortable=False),
DatabaseColumn('formsSubmittedMonth0',
CountColumn('date',
filters=filters_month0,
alias='formsSubmittedMonth0'),
sortable=False),
DatabaseColumn('casesUpdatedMonth0',
CountUniqueColumn('case_id',
table_name=case_table_name,
filters=filters_month0 +
case_type_filters,
alias='casesUpdatedMonth0'),
sortable=False),
DatabaseColumn('casesUpdatedMonth1',
CountUniqueColumn('case_id',
table_name=case_table_name,
filters=filters_month1 +
case_type_filters,
alias='casesUpdatedMonth1'),
sortable=False),
DatabaseColumn('totalCases',
SumColumn('open_cases',
table_name=case_ownership_table_name,
filters=case_type_filters,
alias='totalCases'),
sortable=False)
]
columns.extend(self._get_custom_columns())
return columns
def AggColumn(label, alias, sum_slug, slug, extended=False):
return AggregateColumn(
label,
format_percent,
[
AliasColumn(alias),
SumColumn(
sum_slug,
filters=self.wrapped_sum_column_filters_extended
if extended else self.wrapped_sum_column_filters),
],
slug=slug,
format_fn=ret_val,
)
def columns(self):
return [
self.location_column,
DatabaseColumn(
"Incidents of Abuse",
SumColumn('incidents_total',
filters=self.filters +
[BETWEEN('date_reported', 'startdate', 'enddate')])),
DatabaseColumn(
"Outreach activities",
SumColumn('outreach_total',
filters=self.filters +
[BETWEEN('date', 'startdate', 'enddate')])),
DatabaseColumn(
"IGA Reports",
SumColumn('iga_total',
filters=self.filters +
[BETWEEN('start_date', 'startdate', 'enddate')])),
AggregateColumn("Total", self.sum, [
AliasColumn('incidents_total'),
AliasColumn('outreach_total')
]),
]
def columns(self):
return [
DatabaseColumn('target_kp_prev', SumColumn('target_kp_prev')),
DatabaseColumn('target_htc_tst', SumColumn('target_htc_tst')),
DatabaseColumn('target_htc_pos', SumColumn('target_htc_pos')),
DatabaseColumn('target_care_new', SumColumn('target_care_new')),
DatabaseColumn('target_tx_new', SumColumn('target_tx_new')),
DatabaseColumn('target_tx_undetect', SumColumn('target_tx_undetect'))
]
def columns(self):
user = DatabaseColumn("Username",
SimpleColumn("user"),
format_fn=self.username)
i_a = DatabaseColumn("Indicator A",
SumColumn("indicator_a"),
format_fn=unity)
i_b = DatabaseColumn("Indicator B",
SumColumn("indicator_b"),
format_fn=unity)
agg_c_d = AggregateColumn(
"C/D",
combine_indicator,
[SumColumn("indicator_c"),
SumColumn("indicator_d")],
format_fn=unity)
aggregate_cols = [i_a, i_b, agg_c_d]
if self.group_by:
return [user] + aggregate_cols
else:
return aggregate_cols
def columns(self):
columns = self.get_columns_by_loc_level
agg_columns = [
DatabaseColumn('num_households',
SumColumn('cases_household'),
slug='num_households'),
DatabaseColumn('num_people',
SumColumn('cases_person_all'),
slug='num_people'),
DatabaseColumn('beneficiary_persons',
SumColumn(self.person_is_beneficiary_column),
slug='beneficiary_persons'),
DatabaseColumn('person_has_aadhaar',
SumColumn(self.person_has_aadhaar_column),
slug='person_has_aadhaar'),
AggregateColumn('num_people_with_aadhar',
percent, [
AliasColumn(self.person_has_aadhaar_column),
AliasColumn(self.person_is_beneficiary_column)
],
slug='num_people_with_aadhar'),
DatabaseColumn('num_pregnant_women',
SumColumn('cases_ccs_pregnant_all'),
slug='num_pregnant_women'),
DatabaseColumn('num_pregnant_women_enrolled_for_services',
SumColumn('cases_ccs_pregnant'),
slug='num_pregnant_women_enrolled_for_services'),
DatabaseColumn('num_lactating_women',
SumColumn('cases_ccs_lactating_all'),
slug='num_lactating_women'),
DatabaseColumn('num_lactating_women_enrolled_for_services',
SumColumn('cases_ccs_lactating'),
slug='num_lactating_women_enrolled_for_services'),
DatabaseColumn('num_children_0_6years',
SumColumn('cases_child_health_all'),
slug='num_children_0_6years'),
DatabaseColumn('num_children_0_6years_enrolled_for_services',
SumColumn('cases_child_health'),
slug='num_children_0_6years_enrolled_for_services'),
DatabaseColumn(
'num_adolescent_girls_11yr14yr_v2',
SumColumn('cases_person_adolescent_girls_11_14_all_v2'),
slug='num_adolescent_girls_11yr14yr_v2'),
DatabaseColumn(
'num_adolescent_girls_15yr18yr',
SumColumn('cases_person_adolescent_girls_15_18_all'),
slug='num_adolescent_girls_15yr18yr'),
DatabaseColumn(
'num_adolescent_girls_11yr14yr_oos',
SumColumn('cases_person_adolescent_girls_11_14_out_of_school'),
slug='num_adolescent_girls_11yr14yr_oos'),
DatabaseColumn(
'num_adolescent_girls_15yr18yr_enrolled_for_services',
SumColumn('cases_person_adolescent_girls_15_18'),
slug='num_adolescent_girls_15yr18yr_enrolled_for_services')
]
return columns + agg_columns
def columns(self):
return [DatabaseColumn('date', SimpleColumn("date"))] +\
[DatabaseColumn("", SumColumn(prop)) for prop in VHND_PROPERTIES]
