def get_data_for(date):
age_filters = {
'age_tranche': 72
} if icds_feature_flag else {
'age_tranche__in': [0, 6, 72]
}
moderately_underweight = exclude_records_by_age_for_column(
{'age_tranche': 72}, 'nutrition_status_moderately_underweight')
severely_underweight = exclude_records_by_age_for_column(
{'age_tranche': 72}, 'nutrition_status_severely_underweight')
wasting_moderate = exclude_records_by_age_for_column(
age_filters, wasting_moderate_column(icds_feature_flag))
wasting_severe = exclude_records_by_age_for_column(
age_filters, wasting_severe_column(icds_feature_flag))
stunting_moderate = exclude_records_by_age_for_column(
age_filters, stunting_moderate_column(icds_feature_flag))
stunting_severe = exclude_records_by_age_for_column(
age_filters, stunting_severe_column(icds_feature_flag))
nutrition_status_weighed = exclude_records_by_age_for_column(
{'age_tranche': 72}, 'nutrition_status_weighed')
height_measured_in_month = exclude_records_by_age_for_column(
age_filters, hfa_recorded_in_month_column(icds_feature_flag))
weighed_and_height_measured_in_month = exclude_records_by_age_for_column(
age_filters, wfh_recorded_in_month_column(icds_feature_flag))
queryset = AggChildHealthMonthly.objects.filter(
month=date,
**config).values('month', 'aggregation_level').annotate(
underweight=(Sum(moderately_underweight) +
Sum(severely_underweight)),
valid_weighed=Sum(nutrition_status_weighed),
immunized=(Sum('fully_immunized_on_time') +
Sum('fully_immunized_late')),
eligible=Sum('fully_immunized_eligible'),
wasting=Sum(wasting_moderate) + Sum(wasting_severe),
height_measured_in_month=Sum(height_measured_in_month),
weighed_and_height_measured_in_month=Sum(
weighed_and_height_measured_in_month),
stunting=Sum(stunting_moderate) + Sum(stunting_severe),
low_birth=Sum('low_birth_weight_in_month'),
birth=Sum('bf_at_birth'),
born=Sum('born_in_month'),
weighed_and_born_in_month=Sum('weighed_and_born_in_month'),
month_ebf=Sum('ebf_in_month'),
ebf=Sum('ebf_eligible'),
month_cf=Sum('cf_initiation_in_month'),
cf=Sum('cf_initiation_eligible'))
if not show_test:
queryset = apply_exclude(domain, queryset)
return queryset
def get_data_for(filters):
queryset = AggChildHealthMonthly.objects.filter(**filters).values(
'%s_name' % loc_level,
'%s_map_location_name' % loc_level).annotate(
moderate=Sum(wasting_moderate_column(icds_feature_flag)),
severe=Sum(wasting_severe_column(icds_feature_flag)),
normal=Sum(wasting_normal_column(icds_feature_flag)),
total_height_eligible=Sum('height_eligible'),
total_weighed=Sum('nutrition_status_weighed'),
total_measured=Sum(
wfh_recorded_in_month_column(icds_feature_flag)),
).order_by('%s_name' % loc_level,
'%s_map_location_name' % loc_level)
if not show_test:
queryset = apply_exclude(domain, queryset)
if 'age_tranche' not in config:
queryset = queryset.filter(age_tranche__lt=72)
return queryset
def get_data_for(filters):
filters['month'] = datetime(*filters['month'])
queryset = AggChildHealthMonthly.objects.filter(
**filters
).values(
'%s_name' % loc_level, '%s_map_location_name' % loc_level
).annotate(
moderate=Sum(wasting_moderate_column(icds_feature_flag)),
severe=Sum(wasting_severe_column(icds_feature_flag)),
normal=Sum(wasting_normal_column(icds_feature_flag)),
total_height_eligible=Sum('height_eligible'),
total_weighed=Sum('nutrition_status_weighed'),
total_measured=Sum(wfh_recorded_in_month_column(icds_feature_flag)),
).order_by('%s_name' % loc_level, '%s_map_location_name' % loc_level)
if not show_test:
queryset = apply_exclude(domain, queryset)
if 'age_tranche' not in config:
queryset = queryset.exclude(age_tranche=72)
return queryset
def columns(self):
columns = self.get_columns_by_loc_level
agg_columns = [
AggregateColumn(
'Weighing efficiency (in month)',
percent,
[
SumWhen(
whens={"age_tranche != :age_72": 'nutrition_status_weighed'}, else_=0,
alias='nutrition_status_weighed'
),
SumWhen(
whens={"age_tranche != :age_72": 'wer_eligible'}, else_=0,
alias='wer_eligible'
)
],
slug='percent_weight_efficiency'
),
AggregateColumn(
'Height measurement efficiency (in month)',
percent,
[
SumWhen(
whens={"age_tranche != :age_72": 'height_measured_in_month'}, else_=0,
alias='height_measured_in_month_efficiency'
),
SumWhen(
whens={"age_tranche != :age_72": 'height_eligible'}, else_=0,
alias='height_eligible',
)
],
slug='height_measurement'
),
DatabaseColumn(
'Total number of unweighed children (0-5 Years)',
SumWhen(
whens={"age_tranche != :age_72": 'nutrition_status_unweighed'}, else_=0,
alias='nutrition_status_unweighed'
),
slug='total_number_unweighed'
),
AggregateColumn(
'Percentage of severely underweight children',
percent,
[
SumWhen(
whens={"age_tranche != :age_72": 'nutrition_status_severely_underweight'}, else_=0,
alias='nutrition_status_severely_underweight'
),
AliasColumn('nutrition_status_weighed'),
],
slug='percent_severe_underweight'
),
AggregateColumn(
'Percentage of moderately underweight children',
percent,
[
SumWhen(
whens={"age_tranche != :age_72": 'nutrition_status_moderately_underweight'}, else_=0,
alias='nutrition_status_moderately_underweight'
),
AliasColumn('nutrition_status_weighed'),
],
slug='percent_moderate_underweight'
),
AggregateColumn(
'Percentage of normal weight-for-age children',
percent,
[
SumWhen(
whens={"age_tranche != :age_72": 'nutrition_status_normal'}, else_=0,
alias='nutrition_status_normal'
),
AliasColumn('nutrition_status_weighed'),
],
slug='percent_normal_weight'
),
AggregateColumn(
'Percentage of children with severe wasting',
percent,
[
SumWhen(
whens={get_age_condition(self.beta): wasting_severe_column(self.beta)},
alias='wasting_severe'
),
SumWhen(
whens={get_age_condition(self.beta): wfh_recorded_in_month_column(self.beta)},
alias='weighed_and_height_measured_in_month'
),
],
slug='percent_severe_wasting'
),
AggregateColumn(
'Percentage of children with moderate wasting',
percent,
[
SumWhen(
whens={get_age_condition(self.beta): wasting_moderate_column(self.beta)},
alias='wasting_moderate'
),
AliasColumn('weighed_and_height_measured_in_month')
],
slug='percent_moderate_wasting'
),
AggregateColumn(
'Percentage of children with normal weight-for-height',
percent,
[
SumWhen(
whens={get_age_condition(self.beta): wasting_normal_column(self.beta)},
alias='wasting_normal'
),
AliasColumn('weighed_and_height_measured_in_month')
],
slug='percent_normal_wasting'
),
AggregateColumn(
'Percentage of children with severe stunting',
percent,
[
SumWhen(
whens={get_age_condition(self.beta): stunting_severe_column(self.beta)},
alias='stunting_severe'
),
SumWhen(
whens={get_age_condition(self.beta): hfa_recorded_in_month_column(self.beta)},
alias='height_measured_in_month'
),
],
slug='percent_severe_stunting'
),
AggregateColumn(
'Percentage of children with moderate stunting',
percent,
[
SumWhen(
whens={get_age_condition(self.beta): stunting_moderate_column(self.beta)},
alias='stunting_moderate'
),
AliasColumn('height_measured_in_month')
],
slug='percent_moderate_stunting'
),
AggregateColumn(
'Percentage of children with normal height-for-age',
percent,
[
SumWhen(
whens={get_age_condition(self.beta): stunting_normal_column(self.beta)},
alias='stunting_normal'
),
AliasColumn('height_measured_in_month')
],
slug='percent_normal_stunting'
),
AggregateColumn(
'Percent of newborns with low birth weight',
percent,
[
SumColumn('low_birth_weight_in_month'),
SumColumn('weighed_and_born_in_month')
],
slug='newborn_low_birth_weight'
),
AggregateColumn(
'Percentage of children with completed 1 year immunizations',
lambda x, y, z: '%.2f%%' % (((x or 0) + (y or 0)) * 100 / float(z or 1)),
[
SumColumn('fully_immunized_on_time'),
SumColumn('fully_immunized_late'),
SumColumn('fully_immunized_eligible')
],
slug='percent_completed_1year_immunizations'
),
AggregateColumn(
'Percentage of children breastfed at birth',
percent,
[
SumColumn('bf_at_birth'),
SumColumn('born_in_month')
],
slug='percent_breastfed_at_birth'
),
AggregateColumn(
'Percentage of children exclusively breastfeeding',
percent,
[
SumColumn('ebf_in_month'),
SumColumn('ebf_eligible')
],
slug='percent_ebf'
),
AggregateColumn(
'Percentage of children initiated complementary feeding (in the past 30 days)',
percent,
[
SumColumn('cf_initiation_in_month'),
SumColumn('cf_initiation_eligible')
],
slug='percent_initiated_on_cf'
),
AggregateColumn(
'Percentage of children initiated appropriate complementary feeding',
percent,
[
SumColumn('cf_in_month'),
SumColumn('cf_eligible')
],
slug='percent_appropriate_cf'
),
AggregateColumn(
'Percentage of children receiving complementary feeding with adequate diet diversity',
percent,
[
SumColumn('cf_diet_diversity'),
AliasColumn('cf_eligible')
],
slug='percent_cf_diet_diversity'
),
AggregateColumn(
'Percentage of children receiving complementary feeding with adequate diet quanity',
percent,
[
SumColumn('cf_diet_quantity'),
AliasColumn('cf_eligible')
],
slug='percent_cf_diet_quanity'
),
AggregateColumn(
"Percentage of children receiving complementary feeding "
"with appropriate handwashing before feeding",
percent,
[
SumColumn('cf_handwashing'),
AliasColumn('cf_eligible')
],
slug='percent_cf_handwashing_before_feeding'
),
]
return columns + agg_columns
def get_columns(self, filters):
return [
DatabaseColumn('month', SimpleColumn('month')),
AggregateColumn(
'% Weighing efficiency (Children <5 weighed)',
percent_num,
[
SumWhen(
whens={"age_tranche != :age_72": 'nutrition_status_weighed'},
alias='nutrition_status_weighed'
),
SumWhen(
whens={"age_tranche != :age_72": 'wer_eligible'},
alias='wer_eligible'
)
],
slug='status_weighed'
),
AggregateColumn(
'% Height measurement efficiency (Children <5 measured)',
percent_num,
[
SumWhen(
whens={"age_tranche != :age_72": 'height_measured_in_month'},
alias='height_measured_in_month_less_5'
),
SumWhen(
whens={"age_tranche != :age_72": 'height_eligible'},
alias='height_eligible'
)
],
slug='status_height_efficiency'
),
DatabaseColumn(
'Total number Unweighed',
SumWhen(
whens={"age_tranche != :age_72": 'nutrition_status_unweighed'},
alias='nutrition_status_unweighed'
)
),
AggregateColumn(
'Percent Children severely underweight (weight for age)',
percent_num,
[
SumWhen(
whens={"age_tranche != :age_72": 'nutrition_status_severely_underweight'},
alias='nutrition_status_severely_underweight'
),
AliasColumn('nutrition_status_weighed')
],
slug='severely_underweight'
),
AggregateColumn(
'Percent Children moderately underweight (weight for age)',
percent_num,
[
SumWhen(
whens={"age_tranche != :age_72": 'nutrition_status_moderately_underweight'},
alias='nutrition_status_moderately_underweight'
),
AliasColumn('nutrition_status_weighed')
],
slug='moderately_underweight'
),
AggregateColumn(
'Percent Children normal (weight for age)',
percent_num,
[
SumWhen(
whens={"age_tranche != :age_72": 'nutrition_status_normal'},
alias='nutrition_status_normal'
),
AliasColumn('nutrition_status_weighed')
],
slug='status_normal'
),
AggregateColumn(
'Percent children with severe acute malnutrition (weight-for-height)',
percent_num,
[
SumWhen(
whens={get_age_condition(self.beta): wasting_severe_column(self.beta)},
alias='wasting_severe'
),
SumWhen(
whens={get_age_condition(self.beta): wfh_recorded_in_month_column(self.beta)},
alias='weighed_and_height_measured_in_month'
)
],
slug='wasting_severe'
),
AggregateColumn(
'Percent children with moderate acute malnutrition (weight-for-height)',
percent_num,
[
SumWhen(
whens={get_age_condition(self.beta): wasting_moderate_column(self.beta)},
alias='wasting_moderate'
),
AliasColumn('weighed_and_height_measured_in_month')
],
slug='wasting_moderate'
),
AggregateColumn(
'Percent children normal (weight-for-height)',
percent_num,
[
SumWhen(
whens={get_age_condition(self.beta): wasting_normal_column(self.beta)},
alias='wasting_normal'
),
AliasColumn('weighed_and_height_measured_in_month')
],
slug='wasting_normal'
),
AggregateColumn(
'Percent children with severe stunting (height for age)',
percent_num,
[
SumWhen(
whens={get_age_condition(self.beta): stunting_severe_column(self.beta)},
alias='zscore_grading_hfa_severe'
),
SumWhen(
whens={get_age_condition(self.beta): hfa_recorded_in_month_column(self.beta)},
alias='height_measured_in_month'
)
],
slug='stunting_severe'
),
AggregateColumn(
'Percent children with moderate stunting (height for age)',
percent_num,
[
SumWhen(
whens={get_age_condition(self.beta): stunting_moderate_column(self.beta)},
alias='zscore_grading_hfa_moderate'
),
AliasColumn('height_measured_in_month')
],
slug='stunting_moderate'
),
AggregateColumn(
'Percent children with normal (height for age)',
percent_num,
[
SumWhen(
whens={get_age_condition(self.beta): stunting_normal_column(self.beta)},
alias='zscore_grading_hfa_normal'
),
AliasColumn('height_measured_in_month')
],
slug='stunting_normal'
),
AggregateColumn(
'Percent children immunized with 1st year immunizations',
lambda x, y, z: ((x or 0) + (y or 0)) * 100 / float(z or 1),
[
SumColumn('fully_immunized_on_time'),
SumColumn('fully_immunized_late'),
SumColumn('fully_immunized_eligible')
],
slug='fully_immunized'
),
AggregateColumn(
'Percent Children breastfed at birth',
percent_num,
[
SumColumn('bf_at_birth'),
SumColumn('born_in_month')
],
slug='breastfed_at_birth'
),
AggregateColumn(
'Percent Children exclusively breastfed',
percent_num,
[
SumColumn('ebf_in_month'),
SumColumn('ebf_eligible')
],
slug='exclusively_breastfed'
),
AggregateColumn(
'Percent Children initiated appropriate complementary feeding',
percent_num,
[
SumColumn('cf_initiation_in_month'),
SumColumn('cf_initiation_eligible')
],
slug='cf_initiation'
),
AggregateColumn(
'Perecent children complementary feeding',
percent_num,
[
SumColumn('cf_in_month'),
SumColumn('cf_eligible')
],
slug='complementary_feeding'
),
AggregateColumn(
'Percentage of children consuming atleast 4 food groups',
percent_num,
[
SumColumn('cf_diet_diversity'),
AliasColumn('cf_eligible')
],
slug='diet_diversity'
),
AggregateColumn(
'Percentage of children consuming adequate food',
percent_num,
[
SumColumn('cf_diet_quantity'),
AliasColumn('cf_eligible')
],
slug='diet_quantity'
),
AggregateColumn(
'Percentage of children whose mothers handwash before feeding',
percent_num,
[
SumColumn('cf_handwashing'),
AliasColumn('cf_eligible')
],
slug='handwashing'
),
DatabaseColumn(
'Children (0 - 28 Days) Seeking Services',
SumWhen(
whens={'age_tranche = :age_0': 'valid_in_month'},
alias='zero'
),
slug='zero'
),
DatabaseColumn(
'Children (28 Days - 6 mo) Seeking Services',
SumWhen(
whens={'age_tranche = :age_6': 'valid_in_month'},
alias='one'
),
slug='one'
),
DatabaseColumn(
'Children (6 mo - 1 year) Seeking Services',
SumWhen(
whens={'age_tranche = :age_12': 'valid_in_month'},
alias='two'
),
slug='two'
),
DatabaseColumn(
'Children (1 year - 3 years) Seeking Services',
SumWhen(
whens={'age_tranche = :age_24 OR age_tranche = :age_36': 'valid_in_month'},
alias='three'
),
slug='three'
),
DatabaseColumn(
'Children (3 years - 6 years) Seeking Services',
SumWhen(
whens={
'age_tranche = :age_48 OR age_tranche = :age_60 OR age_tranche = :age_72':
'valid_in_month'
},
alias='four'
),
slug='four'
),
AggregateColumn(
'Percent of children born in month with low birth weight',
percent_num,
[
SumColumn('low_birth_weight_in_month'),
SumColumn('weighed_and_born_in_month')
],
slug='low_birth_weight'
)
]
def columns(self):
columns = self.get_columns_by_loc_level
agg_columns = [
AggregateColumn(
'Weighing efficiency (in month)',
percent,
[
SumWhen(
whens={"age_tranche != :age_72": 'nutrition_status_weighed'}, else_=0,
alias='nutrition_status_weighed'
),
SumWhen(
whens={"age_tranche != :age_72": 'wer_eligible'}, else_=0,
alias='wer_eligible'
)
],
slug='percent_weight_efficiency'
),
AggregateColumn(
'Height measurement efficiency (in month)',
percent,
[
SumWhen(
whens={"age_tranche != :age_72": 'height_measured_in_month'}, else_=0,
alias='height_measured_in_month_efficiency'
),
SumWhen(
whens={"age_tranche != :age_72": 'height_eligible'}, else_=0,
alias='height_eligible',
)
],
slug='height_measurement'
),
DatabaseColumn(
'Total number of unweighed children (0-5 Years)',
SumWhen(
whens={"age_tranche != :age_72": 'nutrition_status_unweighed'}, else_=0,
alias='nutrition_status_unweighed'
),
slug='total_number_unweighed'
),
AggregateColumn(
'Percentage of severely underweight children',
percent,
[
SumWhen(
whens={"age_tranche != :age_72": 'nutrition_status_severely_underweight'}, else_=0,
alias='nutrition_status_severely_underweight'
),
AliasColumn('nutrition_status_weighed'),
],
slug='percent_severe_underweight'
),
AggregateColumn(
'Percentage of moderately underweight children',
percent,
[
SumWhen(
whens={"age_tranche != :age_72": 'nutrition_status_moderately_underweight'}, else_=0,
alias='nutrition_status_moderately_underweight'
),
AliasColumn('nutrition_status_weighed'),
],
slug='percent_moderate_underweight'
),
AggregateColumn(
'Percentage of normal weight-for-age children',
percent,
[
SumWhen(
whens={"age_tranche != :age_72": 'nutrition_status_normal'}, else_=0,
alias='nutrition_status_normal'
),
AliasColumn('nutrition_status_weighed'),
],
slug='percent_normal_weight'
),
AggregateColumn(
'Percentage of children with severe wasting',
percent,
[
SumWhen(
whens={get_age_condition(self.beta): wasting_severe_column(self.beta)},
alias='wasting_severe'
),
SumWhen(
whens={get_age_condition(self.beta): wfh_recorded_in_month_column(self.beta)},
alias='weighed_and_height_measured_in_month'
),
],
slug='percent_severe_wasting'
),
AggregateColumn(
'Percentage of children with moderate wasting',
percent,
[
SumWhen(
whens={get_age_condition(self.beta): wasting_moderate_column(self.beta)},
alias='wasting_moderate'
),
AliasColumn('weighed_and_height_measured_in_month')
],
slug='percent_moderate_wasting'
),
AggregateColumn(
'Percentage of children with normal weight-for-height',
percent,
[
SumWhen(
whens={get_age_condition(self.beta): wasting_normal_column(self.beta)},
alias='wasting_normal'
),
AliasColumn('weighed_and_height_measured_in_month')
],
slug='percent_normal_wasting'
),
AggregateColumn(
'Percentage of children with severe stunting',
percent,
[
SumWhen(
whens={get_age_condition(self.beta): stunting_severe_column(self.beta)},
alias='stunting_severe'
),
SumWhen(
whens={get_age_condition(self.beta): hfa_recorded_in_month_column(self.beta)},
alias='height_measured_in_month'
),
],
slug='percent_severe_stunting'
),
AggregateColumn(
'Percentage of children with moderate stunting',
percent,
[
SumWhen(
whens={get_age_condition(self.beta): stunting_moderate_column(self.beta)},
alias='stunting_moderate'
),
AliasColumn('height_measured_in_month')
],
slug='percent_moderate_stunting'
),
AggregateColumn(
'Percentage of children with normal height-for-age',
percent,
[
SumWhen(
whens={get_age_condition(self.beta): stunting_normal_column(self.beta)},
alias='stunting_normal'
),
AliasColumn('height_measured_in_month')
],
slug='percent_normal_stunting'
),
AggregateColumn(
'Percent of newborns with low birth weight',
percent,
[
SumColumn('low_birth_weight_in_month'),
SumColumn('weighed_and_born_in_month')
],
slug='newborn_low_birth_weight'
),
AggregateColumn(
'Percentage of children with completed 1 year immunizations',
lambda x, y, z: '%.2f%%' % (((x or 0) + (y or 0)) * 100 / float(z or 1)),
[
SumColumn('fully_immunized_on_time'),
SumColumn('fully_immunized_late'),
SumColumn('fully_immunized_eligible')
],
slug='percent_completed_1year_immunizations'
),
AggregateColumn(
'Percentage of children breastfed at birth',
percent,
[
SumColumn('bf_at_birth'),
SumColumn('born_in_month')
],
slug='percent_breastfed_at_birth'
),
AggregateColumn(
'Percentage of children exclusively breastfeeding',
percent,
[
SumColumn('ebf_in_month'),
SumColumn('ebf_eligible')
],
slug='percent_ebf'
),
AggregateColumn(
'Percentage of children initiated complementary feeding (in the past 30 days)',
percent,
[
SumColumn('cf_initiation_in_month'),
SumColumn('cf_initiation_eligible')
],
slug='percent_initiated_on_cf'
),
AggregateColumn(
'Percentage of children initiated appropriate complementary feeding',
percent,
[
SumColumn('cf_in_month'),
SumColumn('cf_eligible')
],
slug='percent_appropriate_cf'
),
AggregateColumn(
'Percentage of children receiving complementary feeding with adequate diet diversity',
percent,
[
SumColumn('cf_diet_diversity'),
AliasColumn('cf_eligible')
],
slug='percent_cf_diet_diversity'
),
AggregateColumn(
'Percentage of children receiving complementary feeding with adequate diet quanity',
percent,
[
SumColumn('cf_diet_quantity'),
AliasColumn('cf_eligible')
],
slug='percent_cf_diet_quanity'
),
AggregateColumn(
"Percentage of children receiving complementary feeding "
"with appropriate handwashing before feeding",
percent,
[
SumColumn('cf_handwashing'),
AliasColumn('cf_eligible')
],
slug='percent_cf_handwashing_before_feeding'
),
]
return columns + agg_columns
def get_prevalence_of_severe_sector_data(domain, config, loc_level, location_id, show_test=False,
icds_feature_flag=False):
group_by = ['%s_name' % loc_level]
config['month'] = datetime(*config['month'])
data = AggChildHealthMonthly.objects.filter(
**config
).values(
*group_by
).annotate(
moderate=Sum(wasting_moderate_column(icds_feature_flag)),
severe=Sum(wasting_severe_column(icds_feature_flag)),
normal=Sum(wasting_normal_column(icds_feature_flag)),
total_height_eligible=Sum('height_eligible'),
total_weighed=Sum('nutrition_status_weighed'),
total_measured=Sum(wfh_recorded_in_month_column(icds_feature_flag)),
).order_by('%s_name' % loc_level)
if not show_test:
data = apply_exclude(domain, data)
if 'age_tranche' not in config:
data = data.exclude(age_tranche=72)
chart_data = {
'blue': [],
}
tooltips_data = defaultdict(lambda: {
'severe': 0,
'moderate': 0,
'total_height_eligible': 0,
'normal': 0,
'total_weighed': 0,
'total_measured': 0
})
loc_children = get_child_locations(domain, location_id, show_test)
result_set = set()
for row in data:
total_weighed = row['total_weighed'] or 0
name = row['%s_name' % loc_level]
result_set.add(name)
severe = row['severe'] or 0
moderate = row['moderate'] or 0
normal = row['normal'] or 0
total_measured = row['total_measured'] or 0
total_height_eligible = row['total_height_eligible'] or 0
tooltips_data[name]['severe'] += severe
tooltips_data[name]['moderate'] += moderate
tooltips_data[name]['total_weighed'] += total_weighed
tooltips_data[name]['normal'] += normal
tooltips_data[name]['total_measured'] += total_measured
tooltips_data[name]['total_height_eligible'] += total_height_eligible
value = (moderate + severe) / float(total_weighed or 1)
chart_data['blue'].append([
name, value
])
for sql_location in loc_children:
if sql_location.name not in result_set:
chart_data['blue'].append([sql_location.name, 0])
chart_data['blue'] = sorted(chart_data['blue'])
gender_label, age_label, chosen_filters = chosen_filters_to_labels(
config,
default_interval=default_age_interval(icds_feature_flag)
)
return {
"tooltips_data": dict(tooltips_data),
"info": _(wasting_help_text(age_label)),
"chart_data": [
{
"values": chart_data['blue'],
"key": "",
"strokeWidth": 2,
"classed": "dashed",
"color": MapColors.BLUE
},
]
}
def get_prevalence_of_severe_data_chart(domain, config, loc_level, show_test=False, icds_feature_flag=False):
month = datetime(*config['month'])
three_before = datetime(*config['month']) - relativedelta(months=3)
config['month__range'] = (three_before, month)
del config['month']
chart_data = AggChildHealthMonthly.objects.filter(
**config
).values(
'month', '%s_name' % loc_level
).annotate(
moderate=Sum(wasting_moderate_column(icds_feature_flag)),
severe=Sum(wasting_severe_column(icds_feature_flag)),
normal=Sum(wasting_normal_column(icds_feature_flag)),
total_height_eligible=Sum('height_eligible'),
total_weighed=Sum('nutrition_status_weighed'),
total_measured=Sum(wfh_recorded_in_month_column(icds_feature_flag)),
).order_by('month')
if not show_test:
chart_data = apply_exclude(domain, chart_data)
if 'age_tranche' not in config:
chart_data = chart_data.exclude(age_tranche=72)
data = {
'red': OrderedDict(),
'orange': OrderedDict(),
'peach': OrderedDict()
}
dates = [dt for dt in rrule(MONTHLY, dtstart=three_before, until=month)]
for date in dates:
miliseconds = int(date.strftime("%s")) * 1000
data['red'][miliseconds] = {'y': 0, 'total_weighed': 0, 'total_measured': 0, 'total_height_eligible': 0}
data['orange'][miliseconds] = {'y': 0, 'total_weighed': 0, 'total_measured': 0, 'total_height_eligible': 0}
data['peach'][miliseconds] = {'y': 0, 'total_weighed': 0, 'total_measured': 0, 'total_height_eligible': 0}
best_worst = {}
for row in chart_data:
date = row['month']
total_weighed = row['total_weighed'] or 0
total_measured = row['total_measured'] or 0
total_height_eligible = row['total_height_eligible'] or 0
location = row['%s_name' % loc_level]
severe = row['severe'] or 0
moderate = row['moderate'] or 0
normal = row['normal'] or 0
underweight = moderate + severe
best_worst[location] = underweight * 100 / float(total_measured or 1)
date_in_miliseconds = int(date.strftime("%s")) * 1000
data['peach'][date_in_miliseconds]['y'] += normal
data['peach'][date_in_miliseconds]['total_weighed'] += total_weighed
data['peach'][date_in_miliseconds]['total_measured'] += total_measured
data['peach'][date_in_miliseconds]['total_height_eligible'] += total_height_eligible
data['orange'][date_in_miliseconds]['y'] += moderate
data['orange'][date_in_miliseconds]['total_weighed'] += total_weighed
data['orange'][date_in_miliseconds]['total_measured'] += total_measured
data['orange'][date_in_miliseconds]['total_height_eligible'] += total_height_eligible
data['red'][date_in_miliseconds]['y'] += severe
data['red'][date_in_miliseconds]['total_weighed'] += total_weighed
data['red'][date_in_miliseconds]['total_measured'] += total_measured
data['red'][date_in_miliseconds]['total_height_eligible'] += total_height_eligible
top_locations = sorted(
[dict(loc_name=key, percent=value) for key, value in six.iteritems(best_worst)],
key=lambda x: (x['percent'], x['loc_name'])
)
return {
"chart_data": [
{
"values": [
{
'x': key,
'y': value['y'] / float(value['total_measured'] or 1),
'total_weighed': value['total_weighed'],
'total_measured': value['total_measured'],
'total_height_eligible': value['total_height_eligible']
} for key, value in six.iteritems(data['peach'])
],
"key": "% normal",
"strokeWidth": 2,
"classed": "dashed",
"color": ChartColors.PINK
},
{
"values": [
{
'x': key,
'y': value['y'] / float(value['total_measured'] or 1),
'total_weighed': value['total_weighed'],
'total_measured': value['total_measured'],
'total_height_eligible': value['total_height_eligible']
} for key, value in six.iteritems(data['orange'])
],
"key": "% moderately wasted (moderate acute malnutrition)",
"strokeWidth": 2,
"classed": "dashed",
"color": ChartColors.ORANGE
},
{
"values": [
{
'x': key,
'y': value['y'] / float(value['total_measured'] or 1),
'total_weighed': value['total_weighed'],
'total_measured': value['total_measured'],
'total_height_eligible': value['total_height_eligible']
} for key, value in six.iteritems(data['red'])
],
"key": "% severely wasted (severe acute malnutrition)",
"strokeWidth": 2,
"classed": "dashed",
"color": ChartColors.RED
}
],
"all_locations": top_locations,
"top_five": top_locations[:5],
"bottom_five": top_locations[-5:],
"location_type": loc_level.title() if loc_level != LocationTypes.SUPERVISOR else 'Sector'
}
def get_prevalence_of_severe_sector_data(domain, config, loc_level, location_id, show_test=False,
icds_feature_flag=False):
group_by = ['%s_name' % loc_level]
config['month'] = datetime(*config['month'])
data = AggChildHealthMonthly.objects.filter(
**config
).values(
*group_by
).annotate(
moderate=Sum(wasting_moderate_column(icds_feature_flag)),
severe=Sum(wasting_severe_column(icds_feature_flag)),
normal=Sum(wasting_normal_column(icds_feature_flag)),
total_height_eligible=Sum('height_eligible'),
total_weighed=Sum('nutrition_status_weighed'),
total_measured=Sum(wfh_recorded_in_month_column(icds_feature_flag)),
).order_by('%s_name' % loc_level)
if not show_test:
data = apply_exclude(domain, data)
if 'age_tranche' not in config:
if icds_feature_flag:
data = data.exclude(age_tranche=72)
else:
data = data.exclude(age_tranche__in=[0, 6, 72])
chart_data = {
'blue': [],
}
tooltips_data = defaultdict(lambda: {
'severe': 0,
'moderate': 0,
'total_height_eligible': 0,
'normal': 0,
'total_weighed': 0,
'total_measured': 0
})
loc_children = get_child_locations(domain, location_id, show_test)
result_set = set()
for row in data:
total_weighed = row['total_weighed'] or 0
name = row['%s_name' % loc_level]
result_set.add(name)
severe = row['severe'] or 0
moderate = row['moderate'] or 0
normal = row['normal'] or 0
total_measured = row['total_measured'] or 0
total_height_eligible = row['total_height_eligible'] or 0
tooltips_data[name]['severe'] += severe
tooltips_data[name]['moderate'] += moderate
tooltips_data[name]['total_weighed'] += total_weighed
tooltips_data[name]['normal'] += normal
tooltips_data[name]['total_measured'] += total_measured
tooltips_data[name]['total_height_eligible'] += total_height_eligible
value = (moderate + severe) / float(total_weighed or 1)
chart_data['blue'].append([
name, value
])
for sql_location in loc_children:
if sql_location.name not in result_set:
chart_data['blue'].append([sql_location.name, 0])
chart_data['blue'] = sorted(chart_data['blue'])
return {
"tooltips_data": dict(tooltips_data),
"info": _(wasting_help_text(icds_feature_flag)),
"chart_data": [
{
"values": chart_data['blue'],
"key": "",
"strokeWidth": 2,
"classed": "dashed",
"color": MapColors.BLUE
},
]
}
def get_prevalence_of_severe_data_chart(domain,
config,
loc_level,
show_test=False,
icds_feature_flag=False):
month = datetime(*config['month'])
three_before = datetime(*config['month']) - relativedelta(months=3)
config['month__range'] = (three_before, month)
del config['month']
# using child health monthly while querying for sector level due to performance issues
if icds_feature_flag and config[
'aggregation_level'] >= AggregationLevels.SUPERVISOR:
chm_filter = get_filters_from_config_for_chart_view(config)
chm_queryset = ChildHealthMonthlyView.objects.filter(**chm_filter)
else:
chm_queryset = AggChildHealthMonthly.objects.filter(**config)
chart_data = chm_queryset.values('month', '%s_name' % loc_level).annotate(
moderate=Sum(wasting_moderate_column(icds_feature_flag)),
severe=Sum(wasting_severe_column(icds_feature_flag)),
normal=Sum(wasting_normal_column(icds_feature_flag)),
total_height_eligible=Sum('height_eligible'),
total_weighed=Sum('nutrition_status_weighed'),
total_measured=Sum(wfh_recorded_in_month_column(icds_feature_flag)),
).order_by('month')
if not show_test:
chart_data = apply_exclude(domain, chart_data)
if 'age_tranche' not in config:
chart_data = chart_data.filter(age_tranche__lt=72)
data = {
'red': OrderedDict(),
'orange': OrderedDict(),
'peach': OrderedDict()
}
dates = [dt for dt in rrule(MONTHLY, dtstart=three_before, until=month)]
for date in dates:
miliseconds = int(date.strftime("%s")) * 1000
data['red'][miliseconds] = {
'y': 0,
'total_weighed': 0,
'total_measured': 0,
'total_height_eligible': 0
}
data['orange'][miliseconds] = {
'y': 0,
'total_weighed': 0,
'total_measured': 0,
'total_height_eligible': 0
}
data['peach'][miliseconds] = {
'y': 0,
'total_weighed': 0,
'total_measured': 0,
'total_height_eligible': 0
}
best_worst = {}
if icds_feature_flag:
if 'month' not in config:
config['month'] = month
location_launched_status = get_location_launched_status(
config, loc_level)
else:
location_launched_status = None
for row in chart_data:
if location_launched_status:
launched_status = location_launched_status.get(row['%s_name' %
loc_level])
if launched_status is None or launched_status <= 0:
continue
date = row['month']
total_weighed = row['total_weighed'] or 0
total_measured = row['total_measured'] or 0
total_height_eligible = row['total_height_eligible'] or 0
location = row['%s_name' % loc_level]
severe = row['severe'] or 0
moderate = row['moderate'] or 0
normal = row['normal'] or 0
underweight = moderate + severe
best_worst[location] = underweight * 100 / float(total_measured or 1)
date_in_miliseconds = int(date.strftime("%s")) * 1000
data['peach'][date_in_miliseconds]['y'] += normal
data['peach'][date_in_miliseconds]['total_weighed'] += total_weighed
data['peach'][date_in_miliseconds]['total_measured'] += total_measured
data['peach'][date_in_miliseconds][
'total_height_eligible'] += total_height_eligible
data['orange'][date_in_miliseconds]['y'] += moderate
data['orange'][date_in_miliseconds]['total_weighed'] += total_weighed
data['orange'][date_in_miliseconds]['total_measured'] += total_measured
data['orange'][date_in_miliseconds][
'total_height_eligible'] += total_height_eligible
data['red'][date_in_miliseconds]['y'] += severe
data['red'][date_in_miliseconds]['total_weighed'] += total_weighed
data['red'][date_in_miliseconds]['total_measured'] += total_measured
data['red'][date_in_miliseconds][
'total_height_eligible'] += total_height_eligible
top_locations = sorted([
dict(loc_name=key, percent=value) for key, value in best_worst.items()
],
key=lambda x: (x['percent'], x['loc_name']))
return {
"chart_data": [{
"values": [{
'x': key,
'y': value['y'] / float(value['total_measured'] or 1),
'total_weighed': value['total_weighed'],
'total_measured': value['total_measured'],
'total_height_eligible': value['total_height_eligible']
} for key, value in data['peach'].items()],
"key":
"% normal",
"strokeWidth":
2,
"classed":
"dashed",
"color":
ChartColors.PINK
}, {
"values": [{
'x': key,
'y': value['y'] / float(value['total_measured'] or 1),
'total_weighed': value['total_weighed'],
'total_measured': value['total_measured'],
'total_height_eligible': value['total_height_eligible']
} for key, value in data['orange'].items()],
"key":
"% moderately wasted (moderate acute malnutrition)",
"strokeWidth":
2,
"classed":
"dashed",
"color":
ChartColors.ORANGE
}, {
"values": [{
'x': key,
'y': value['y'] / float(value['total_measured'] or 1),
'total_weighed': value['total_weighed'],
'total_measured': value['total_measured'],
'total_height_eligible': value['total_height_eligible']
} for key, value in data['red'].items()],
"key":
"% severely wasted (severe acute malnutrition)",
"strokeWidth":
2,
"classed":
"dashed",
"color":
ChartColors.RED
}],
"all_locations":
top_locations,
"top_five":
top_locations[:5],
"bottom_five":
top_locations[-5:],
"location_type":
loc_level.title()
if loc_level != LocationTypes.SUPERVISOR else 'Sector'
}
def get_prevalence_of_severe_data_chart(domain, config, loc_level, show_test=False, icds_feature_flag=False):
month = datetime(*config['month'])
three_before = datetime(*config['month']) - relativedelta(months=3)
config['month__range'] = (three_before, month)
del config['month']
chart_data = AggChildHealthMonthly.objects.filter(
**config
).values(
'month', '%s_name' % loc_level
).annotate(
moderate=Sum(wasting_moderate_column(icds_feature_flag)),
severe=Sum(wasting_severe_column(icds_feature_flag)),
normal=Sum(wasting_normal_column(icds_feature_flag)),
total_height_eligible=Sum('height_eligible'),
total_weighed=Sum('nutrition_status_weighed'),
total_measured=Sum(wfh_recorded_in_month_column(icds_feature_flag)),
weighed_and_height_measured=Sum('weighed_and_height_measured_in_month')
).order_by('month')
if not show_test:
chart_data = apply_exclude(domain, chart_data)
if 'age_tranche' not in config:
chart_data = chart_data.exclude(age_tranche=72)
data = {
'red': OrderedDict(),
'orange': OrderedDict(),
'peach': OrderedDict()
}
dates = [dt for dt in rrule(MONTHLY, dtstart=three_before, until=month)]
for date in dates:
miliseconds = int(date.strftime("%s")) * 1000
default = {
'y': 0,
'total_weighed': 0,
'total_measured': 0,
'total_height_eligible': 0,
'weighed_and_height_measured': 0
}
data['red'][miliseconds] = dict(default)
data['orange'][miliseconds] = dict(default)
data['peach'][miliseconds] = dict(default)
best_worst = {}
for row in chart_data:
date = row['month']
total_weighed = row['total_weighed'] or 0
total_measured = row['total_measured'] or 0
total_height_eligible = row['total_height_eligible'] or 0
weighed_and_height_measured = row['weighed_and_height_measured'] or 0
location = row['%s_name' % loc_level]
severe = row['severe'] or 0
moderate = row['moderate'] or 0
normal = row['normal'] or 0
underweight = moderate + severe
best_worst[location] = underweight * 100 / float(total_measured or 1)
date_in_miliseconds = int(date.strftime("%s")) * 1000
data['peach'][date_in_miliseconds]['y'] += normal
data['peach'][date_in_miliseconds]['total_weighed'] += total_weighed
data['peach'][date_in_miliseconds]['total_measured'] += total_measured
data['peach'][date_in_miliseconds]['total_height_eligible'] += total_height_eligible
data['peach'][date_in_miliseconds]['weighed_and_height_measured'] += weighed_and_height_measured
data['orange'][date_in_miliseconds]['y'] += moderate
data['orange'][date_in_miliseconds]['total_weighed'] += total_weighed
data['orange'][date_in_miliseconds]['total_measured'] += total_measured
data['orange'][date_in_miliseconds]['total_height_eligible'] += total_height_eligible
data['orange'][date_in_miliseconds]['weighed_and_height_measured'] += weighed_and_height_measured
data['red'][date_in_miliseconds]['y'] += severe
data['red'][date_in_miliseconds]['total_weighed'] += total_weighed
data['red'][date_in_miliseconds]['total_measured'] += total_measured
data['red'][date_in_miliseconds]['total_height_eligible'] += total_height_eligible
data['red'][date_in_miliseconds]['weighed_and_height_measured'] += weighed_and_height_measured
top_locations = sorted(
[dict(loc_name=key, percent=value) for key, value in six.iteritems(best_worst)],
key=lambda x: (x['percent'], x['loc_name'])
)
return {
"chart_data": [
{
"values": [
{
'x': key,
'y': value['y'] / float(value['total_measured'] or 1),
'total_weighed': value['total_weighed'],
'total_measured': value['total_measured'],
'total_height_eligible': value['total_height_eligible'],
'weighed_and_height_measured': value['weighed_and_height_measured']
} for key, value in six.iteritems(data['peach'])
],
"key": "% normal",
"strokeWidth": 2,
"classed": "dashed",
"color": ChartColors.PINK
},
{
"values": [
{
'x': key,
'y': value['y'] / float(value['total_measured'] or 1),
'total_weighed': value['total_weighed'],
'total_measured': value['total_measured'],
'total_height_eligible': value['total_height_eligible'],
'weighed_and_height_measured': value['weighed_and_height_measured']
} for key, value in six.iteritems(data['orange'])
],
"key": "% moderately wasted (moderate acute malnutrition)",
"strokeWidth": 2,
"classed": "dashed",
"color": ChartColors.ORANGE
},
{
"values": [
{
'x': key,
'y': value['y'] / float(value['total_measured'] or 1),
'total_weighed': value['total_weighed'],
'total_measured': value['total_measured'],
'total_height_eligible': value['total_height_eligible'],
'weighed_and_height_measured': value['weighed_and_height_measured']
} for key, value in six.iteritems(data['red'])
],
"key": "% severely wasted (severe acute malnutrition)",
"strokeWidth": 2,
"classed": "dashed",
"color": ChartColors.RED
}
],
"all_locations": top_locations,
"top_five": top_locations[:5],
"bottom_five": top_locations[-5:],
"location_type": loc_level.title() if loc_level != LocationTypes.SUPERVISOR else 'Sector'
}
def columns(self):
columns = self.get_columns_by_loc_level
agg_columns = [
AggregateColumn(
'Weighing efficiency (in month)',
percent, [
SumWhen(whens={
"age_tranche != :age_72":
'nutrition_status_weighed'
},
else_=0,
alias='nutrition_status_weighed'),
SumWhen(whens={"age_tranche != :age_72": 'wer_eligible'},
else_=0,
alias='wer_eligible')
],
slug='percent_weight_efficiency'),
AggregateColumn(
'Height measurement efficiency (in month)',
percent, [
SumWhen(whens={
"age_tranche != :age_72":
'height_measured_in_month'
},
else_=0,
alias='height_measured_in_month_efficiency'),
SumWhen(
whens={"age_tranche != :age_72": 'height_eligible'},
else_=0,
alias='height_eligible',
)
],
slug='height_measurement'),
DatabaseColumn('Total number of unweighed children (0-5 Years)',
SumWhen(whens={
"age_tranche != :age_72":
'nutrition_status_unweighed'
},
else_=0,
alias='nutrition_status_unweighed'),
slug='total_number_unweighed'),
AggregateColumn(
'Percentage of severely underweight children',
percent, [
SumWhen(whens={
"age_tranche != :age_72":
'nutrition_status_severely_underweight'
},
else_=0,
alias='nutrition_status_severely_underweight'),
AliasColumn('nutrition_status_weighed'),
],
slug='percent_severe_underweight'),
AggregateColumn(
'Percentage of moderately underweight children',
percent, [
SumWhen(whens={
"age_tranche != :age_72":
'nutrition_status_moderately_underweight'
},
else_=0,
alias='nutrition_status_moderately_underweight'),
AliasColumn('nutrition_status_weighed'),
],
slug='percent_moderate_underweight'),
AggregateColumn(
'Percentage of normal weight-for-age children',
percent, [
SumWhen(whens={
"age_tranche != :age_72": 'nutrition_status_normal'
},
else_=0,
alias='nutrition_status_normal'),
AliasColumn('nutrition_status_weighed'),
],
slug='percent_normal_weight'),
AggregateColumn(
'Percentage of children with severe wasting',
percent, [
SumWhen(whens={
get_age_condition(self.beta):
wasting_severe_column(self.beta)
},
alias='wasting_severe'),
SumWhen(whens={
get_age_condition(self.beta):
wfh_recorded_in_month_column(self.beta)
},
alias='weighed_and_height_measured_in_month'),
],
slug='percent_severe_wasting'),
AggregateColumn(
'Percentage of children with moderate wasting',
percent, [
SumWhen(whens={
get_age_condition(self.beta):
wasting_moderate_column(self.beta)
},
alias='wasting_moderate'),
AliasColumn('weighed_and_height_measured_in_month')
],
slug='percent_moderate_wasting'),
AggregateColumn(
'Percentage of children with normal weight-for-height',
percent, [
SumWhen(whens={
get_age_condition(self.beta):
wasting_normal_column(self.beta)
},
alias='wasting_normal'),
AliasColumn('weighed_and_height_measured_in_month')
],
slug='percent_normal_wasting'),
AggregateColumn('Percentage of children with severe stunting',
percent, [
SumWhen(whens={
get_age_condition(self.beta):
stunting_severe_column(self.beta)
},
alias='stunting_severe'),
SumWhen(whens={
get_age_condition(self.beta):
hfa_recorded_in_month_column(self.beta)
},
alias='height_measured_in_month'),
],
slug='percent_severe_stunting'),
AggregateColumn('Percentage of children with moderate stunting',
percent, [
SumWhen(whens={
get_age_condition(self.beta):
stunting_moderate_column(self.beta)
},
alias='stunting_moderate'),
AliasColumn('height_measured_in_month')
],
slug='percent_moderate_stunting'),
AggregateColumn(
'Percentage of children with normal height-for-age',
percent, [
SumWhen(whens={
get_age_condition(self.beta):
stunting_normal_column(self.beta)
},
alias='stunting_normal'),
AliasColumn('height_measured_in_month')
],
slug='percent_normal_stunting'),
AggregateColumn('Percent of newborns with low birth weight',
percent, [
SumColumn('low_birth_weight_in_month',
alias='low_birth_weight_in_month'),
SumColumn('weighed_and_born_in_month',
alias='weighed_and_born_in_month')
],
slug='newborn_low_birth_weight'),
AggregateColumn(
'Percentage of children with completed 1 year immunizations',
lambda x, y, z: '%.2f%%' % ((
(x or 0) + (y or 0)) * 100 / float(z or 1)), [
SumColumn('fully_immunized_on_time',
alias='fully_immunized_on_time'),
SumColumn('fully_immunized_late',
alias='fully_immunized_late'),
SumColumn('fully_immunized_eligible',
alias='fully_immunized_eligible')
],
slug='percent_completed_1year_immunizations'),
AggregateColumn(
'Percentage of children breastfed at birth',
percent, [
SumColumn('bf_at_birth', alias='bf_at_birth'),
SumColumn('born_in_month', alias='born_in_month')
],
slug='percent_breastfed_at_birth'),
AggregateColumn(
'Percentage of children exclusively breastfeeding',
percent, [
SumColumn('ebf_in_month', alias='ebf_in_month'),
SumColumn('ebf_eligible', alias='ebf_eligible')
],
slug='percent_ebf'),
AggregateColumn(
'Percentage of children initiated complementary feeding (in the past 30 days)',
percent, [
SumColumn('cf_initiation_in_month',
alias='cf_initiation_in_month'),
SumColumn('cf_initiation_eligible',
alias='cf_initiation_eligible')
],
slug='percent_initiated_on_cf'),
AggregateColumn(
'Percentage of children initiated appropriate complementary feeding',
percent, [
SumColumn('cf_in_month', alias='cf_in_month'),
SumColumn('cf_eligible', alias='cf_eligible')
],
slug='percent_appropriate_cf'),
AggregateColumn(
'Percentage of children receiving complementary feeding with adequate diet diversity',
percent, [
SumColumn('cf_diet_diversity', alias='cf_diet_diversity'),
AliasColumn('cf_eligible')
],
slug='percent_cf_diet_diversity'),
AggregateColumn(
'Percentage of children receiving complementary feeding with adequate diet quantity',
percent, [
SumColumn('cf_diet_quantity', alias='cf_diet_quantity'),
AliasColumn('cf_eligible')
],
slug='percent_cf_diet_quanity'),
AggregateColumn(
"Percentage of children receiving complementary feeding "
"with appropriate handwashing before feeding",
percent, [
SumColumn('cf_handwashing', alias='cf_handwashing'),
AliasColumn('cf_eligible')
],
slug='percent_cf_handwashing_before_feeding'),
]
agg_columns.insert(
0,
DatabaseColumn('Total no. of children weighed',
AliasColumn('nutrition_status_weighed'),
slug='nutrition_status_weighed'))
agg_columns.insert(
1,
DatabaseColumn('Total no. of children eligible to be weighed',
AliasColumn('wer_eligible'),
slug='wer_eligible'))
agg_columns.insert(
3,
DatabaseColumn('Total no. of children whose height was measured',
AliasColumn('height_measured_in_month_efficiency'),
slug='height_measured_in_month_efficiency'))
agg_columns.insert(
4,
DatabaseColumn(
'Total no. of children eligible for measuring height',
AliasColumn('height_eligible'),
slug='height_eligible'))
agg_columns.insert(
7,
DatabaseColumn(
'No. of severely underweight children',
AliasColumn('nutrition_status_severely_underweight'),
slug='nutrition_status_severely_underweight'))
agg_columns.insert(
8,
DatabaseColumn('Total No. of children weighed',
AliasColumn('nutrition_status_weighed'),
slug='nutrition_status_weighed'))
agg_columns.insert(
10,
DatabaseColumn(
'No. of moderately underweight children ',
AliasColumn('nutrition_status_moderately_underweight'),
slug='nutrition_status_moderately_underweight'))
agg_columns.insert(
11,
DatabaseColumn('Total No. of children weighed',
AliasColumn('nutrition_status_weighed'),
slug='nutrition_status_weighed'))
agg_columns.insert(
13,
DatabaseColumn('No. of children with normal weight for age',
AliasColumn('nutrition_status_normal'),
slug='nutrition_status_normal'))
agg_columns.insert(
14,
DatabaseColumn('Total No. of children weighed',
AliasColumn('nutrition_status_weighed'),
slug='nutrition_status_weighed'))
agg_columns.insert(
16,
DatabaseColumn('No. of Children with severe wasting',
AliasColumn('wasting_severe'),
slug='wasting_severe'))
agg_columns.insert(
17,
DatabaseColumn(
'Total number of children whose height and weight is measured',
AliasColumn('weighed_and_height_measured_in_month'),
slug='weighed_and_height_measured_in_month'))
agg_columns.insert(
19,
DatabaseColumn('No. of moderately wasted children',
AliasColumn('wasting_moderate'),
slug='wasting_moderate'))
agg_columns.insert(
20,
DatabaseColumn(
'Total number of children whose height and weight is measured',
AliasColumn('weighed_and_height_measured_in_month'),
slug='weighed_and_height_measured_in_month'))
agg_columns.insert(
22,
DatabaseColumn('No. of children with normal weight-for-height',
AliasColumn('wasting_normal'),
slug='wasting_normal'))
agg_columns.insert(
23,
DatabaseColumn(
'Total no. of children whose height and weight is measured',
AliasColumn('weighed_and_height_measured_in_month'),
slug='weighed_and_height_measured_in_month'))
agg_columns.insert(
25,
DatabaseColumn('No. of severely stunted children',
AliasColumn('stunting_severe'),
slug='stunting_severe'))
agg_columns.insert(
26,
DatabaseColumn(
'Total no. of children whose height has been measured',
AliasColumn('height_measured_in_month'),
slug='height_measured_in_month'))
agg_columns.insert(
28,
DatabaseColumn('No. of moderately stunted children',
AliasColumn('stunting_moderate'),
slug='stunting_moderate'))
agg_columns.insert(
29,
DatabaseColumn(
'Total no. of children whose height has been measured',
AliasColumn('height_measured_in_month'),
slug='height_measured_in_month'))
agg_columns.insert(
31,
DatabaseColumn('No. of children with normal height for age',
AliasColumn('stunting_normal'),
slug='stunting_normal'))
agg_columns.insert(
32,
DatabaseColumn(
'Total no. of children whose height has been measured',
AliasColumn('height_measured_in_month'),
slug='height_measured_in_month'))
agg_columns.insert(
34,
DatabaseColumn('No. of newborns with low birth weight',
AliasColumn('low_birth_weight_in_month'),
slug='low_birth_weight_in_month'))
agg_columns.insert(
35,
DatabaseColumn(
'Total no. of children born and weighed in the current month',
AliasColumn('weighed_and_born_in_month'),
slug='weighed_and_born_in_month'))
agg_columns.insert(
37,
AggregateColumn('No. of children completed 1 year immunization',
lambda x, y: ((x or 0) + (y or 0)), [
AliasColumn('fully_immunized_on_time'),
AliasColumn('fully_immunized_late')
],
slug='num_immun_children'))
agg_columns.insert(
38,
DatabaseColumn('Total no. of children from age >12 months',
AliasColumn('fully_immunized_eligible'),
slug='fully_immunized_eligible'))
agg_columns.insert(
40,
DatabaseColumn('No. of children breastfed at birth',
AliasColumn('bf_at_birth'),
slug='bf_at_birth'))
agg_columns.insert(
41,
DatabaseColumn(
'Total no. of children enrolled in ICDS-CAS system and born in last month',
AliasColumn('born_in_month'),
slug='born_in_month'))
agg_columns.insert(
43,
DatabaseColumn('No. of children exclusively breastfed',
AliasColumn('ebf_in_month'),
slug='ebf_in_month'))
agg_columns.insert(
44,
DatabaseColumn(
'Total number of children (0-6 months) of age enrolled in ICDS-CAS system',
AliasColumn('ebf_eligible'),
slug='ebf_eligible'))
agg_columns.insert(
46,
DatabaseColumn(
'No. of children initiated complementary feeding (in the past 30 days)',
AliasColumn('cf_initiation_in_month'),
slug='cf_initiation_in_month'))
agg_columns.insert(
47,
DatabaseColumn(
'Total no. of children (6-8 ) months of age enrolled with ICDS-CAS',
AliasColumn('cf_initiation_eligible'),
slug='cf_initiation_eligible'))
agg_columns.insert(
49,
DatabaseColumn(
'No. of children initiated appropriate complementary feeding',
AliasColumn('cf_in_month'),
slug='cf_in_month'))
agg_columns.insert(
50,
DatabaseColumn(
'No.of children (6-24) months of age enrolled with ICDS-CAS',
AliasColumn('cf_eligible'),
slug='cf_eligible'))
agg_columns.insert(
52,
DatabaseColumn(
'No.of children receiving complementary feeding with adequate diet diversity',
AliasColumn('cf_diet_diversity'),
slug='cf_diet_diversity'))
agg_columns.insert(
53,
DatabaseColumn(
'Total number of children (6 months - 2 yrs) of age enrolled with ICDS-CAS',
AliasColumn('cf_eligible'),
slug='cf_eligible'))
agg_columns.insert(
55,
DatabaseColumn(
'No. of children initiated complementary feeding with adequate diet quantity',
AliasColumn('cf_diet_quantity'),
slug='cf_diet_quantity'))
agg_columns.insert(
56,
DatabaseColumn(
'No.of children (6-24) months of age enrolled with ICDS-CAS',
AliasColumn('cf_eligible'),
slug='cf_eligible'))
agg_columns.insert(
58,
DatabaseColumn(
'Total Number of children receiving complementary feeding '
'with appropriate handwashing before feeding',
AliasColumn('cf_handwashing'),
slug='cf_handwashing'))
agg_columns.insert(
59,
DatabaseColumn(
'No.of children (6-24) months of age enrolled with ICDS-CAS',
AliasColumn('cf_eligible'),
slug='cf_eligible'))
return columns + agg_columns
def get_data_for_child_health_monthly(date, filters):
age_filters = {'age_tranche': 72} if icds_feature_flag else {'age_tranche__in': [0, 6, 72]}
moderately_underweight = exclude_records_by_age_for_column(
{'age_tranche': 72},
'nutrition_status_moderately_underweight'
)
severely_underweight = exclude_records_by_age_for_column(
{'age_tranche': 72},
'nutrition_status_severely_underweight'
)
wasting_moderate = exclude_records_by_age_for_column(
age_filters,
wasting_moderate_column(icds_feature_flag)
)
wasting_severe = exclude_records_by_age_for_column(
age_filters,
wasting_severe_column(icds_feature_flag)
)
stunting_moderate = exclude_records_by_age_for_column(
age_filters,
stunting_moderate_column(icds_feature_flag)
)
stunting_severe = exclude_records_by_age_for_column(
age_filters,
stunting_severe_column(icds_feature_flag)
)
nutrition_status_weighed = exclude_records_by_age_for_column(
{'age_tranche': 72},
'nutrition_status_weighed'
)
height_measured_in_month = exclude_records_by_age_for_column(
age_filters,
hfa_recorded_in_month_column(icds_feature_flag)
)
weighed_and_height_measured_in_month = exclude_records_by_age_for_column(
age_filters,
wfh_recorded_in_month_column(icds_feature_flag)
)
queryset = AggChildHealthMonthly.objects.filter(
month=date, **filters
).values(
'aggregation_level'
).annotate(
underweight=(
Sum(moderately_underweight) + Sum(severely_underweight)
),
valid=Sum(nutrition_status_weighed),
wasting=Sum(wasting_moderate) + Sum(wasting_severe),
stunting=Sum(stunting_moderate) + Sum(stunting_severe),
height_measured_in_month=Sum(height_measured_in_month),
weighed_and_height_measured_in_month=Sum(weighed_and_height_measured_in_month),
low_birth_weight=Sum('low_birth_weight_in_month'),
bf_birth=Sum('bf_at_birth'),
born=Sum('born_in_month'),
weighed_and_born_in_month=Sum('weighed_and_born_in_month'),
ebf=Sum('ebf_in_month'),
ebf_eli=Sum('ebf_eligible'),
cf_initiation=Sum('cf_initiation_in_month'),
cf_initiation_eli=Sum('cf_initiation_eligible')
)
if not show_test:
queryset = apply_exclude(domain, queryset)
return queryset
def get_columns(self, filters):
return [
DatabaseColumn('month', SimpleColumn('month')),
AggregateColumn(
'% Weighing efficiency (Children <5 weighed)',
percent_num, [
SumColumn(
'nutrition_status_weighed',
filters=filters + [NOT(EQ('age_tranche', 'age_72'))]),
SumColumn(
'wer_eligible',
alias='wer_eligible',
filters=filters + [NOT(EQ('age_tranche', 'age_72'))])
],
slug='status_weighed'),
AggregateColumn(
'% Height measurement efficiency (Children <5 measured)',
percent_num, [
SumColumn(
'height_measured_in_month',
alias='height_measured_in_month_less_5',
filters=filters + [NOT(EQ('age_tranche', 'age_72'))]),
SumColumn(
'height_eligible',
alias='height_eligible',
filters=filters + [NOT(EQ('age_tranche', 'age_72'))])
],
slug='status_height_efficiency'),
DatabaseColumn(
'Total number Unweighed',
SumColumn('nutrition_status_unweighed',
filters=filters +
[NOT(EQ('age_tranche', 'age_72'))])),
AggregateColumn(
'Percent Children severely underweight (weight for age)',
percent_num, [
SumColumn(
'nutrition_status_severely_underweight',
filters=filters + [NOT(EQ('age_tranche', 'age_72'))]),
AliasColumn('nutrition_status_weighed')
],
slug='severely_underweight'),
AggregateColumn(
'Percent Children moderately underweight (weight for age)',
percent_num, [
SumColumn(
'nutrition_status_moderately_underweight',
filters=filters + [NOT(EQ('age_tranche', 'age_72'))]),
AliasColumn('nutrition_status_weighed')
],
slug='moderately_underweight'),
AggregateColumn('Percent Children normal (weight for age)',
percent_num, [
SumColumn('nutrition_status_normal',
filters=filters +
[NOT(EQ('age_tranche', 'age_72'))]),
AliasColumn('nutrition_status_weighed')
],
slug='status_normal'),
AggregateColumn(
'Percent children with severe acute malnutrition (weight-for-height)',
percent_num, [
SumColumn(wasting_severe_column(self.beta),
filters=filters + get_age_filters(self.beta)),
SumColumn(wfh_recorded_in_month_column(self.beta),
alias='weighed_and_height_measured_in_month',
filters=filters + get_age_filters(self.beta))
],
slug='wasting_severe'),
AggregateColumn(
'Percent children with moderate acute malnutrition (weight-for-height)',
percent_num, [
SumColumn(wasting_moderate_column(self.beta),
filters=filters + get_age_filters(self.beta)),
AliasColumn('weighed_and_height_measured_in_month')
],
slug='wasting_moderate'),
AggregateColumn(
'Percent children normal (weight-for-height)',
percent_num, [
SumColumn(wasting_normal_column(self.beta),
filters=filters + get_age_filters(self.beta)),
AliasColumn('weighed_and_height_measured_in_month')
],
slug='wasting_normal'),
AggregateColumn(
'Percent children with severe stunting (height for age)',
percent_num, [
SumColumn(stunting_severe_column(self.beta),
filters=filters + get_age_filters(self.beta)),
SumColumn(hfa_recorded_in_month_column(self.beta),
alias='height_measured_in_month',
filters=filters + get_age_filters(self.beta))
],
slug='stunting_severe'),
AggregateColumn(
'Percent children with moderate stunting (height for age)',
percent_num, [
SumColumn(stunting_moderate_column(self.beta),
filters=filters + get_age_filters(self.beta)),
AliasColumn('height_measured_in_month')
],
slug='stunting_moderate'),
AggregateColumn(
'Percent children with normal (height for age)',
percent_num, [
SumColumn(stunting_normal_column(self.beta),
filters=filters + get_age_filters(self.beta)),
AliasColumn('height_measured_in_month')
],
slug='stunting_normal'),
AggregateColumn(
'Percent children immunized with 1st year immunizations',
lambda x, y, z: ((x or 0) + (y or 0)) * 100 / float(z or 1), [
SumColumn('fully_immunized_on_time'),
SumColumn('fully_immunized_late'),
SumColumn('fully_immunized_eligible')
],
slug='fully_immunized'),
AggregateColumn(
'Percent Children breastfed at birth',
percent_num,
[SumColumn('bf_at_birth'),
SumColumn('born_in_month')],
slug='breastfed_at_birth'),
AggregateColumn(
'Percent Children exclusively breastfed',
percent_num,
[SumColumn('ebf_in_month'),
SumColumn('ebf_eligible')],
slug='exclusively_breastfed'),
AggregateColumn(
'Percent Children initiated appropriate complementary feeding',
percent_num, [
SumColumn('cf_initiation_in_month'),
SumColumn('cf_initiation_eligible')
],
slug='cf_initiation'),
AggregateColumn(
'Perecent children complementary feeding',
percent_num,
[SumColumn('cf_in_month'),
SumColumn('cf_eligible')],
slug='complementary_feeding'),
AggregateColumn(
'Percentage of children consuming atleast 4 food groups',
percent_num,
[SumColumn('cf_diet_diversity'),
AliasColumn('cf_eligible')],
slug='diet_diversity'),
AggregateColumn(
'Percentage of children consuming adequate food',
percent_num,
[SumColumn('cf_diet_quantity'),
AliasColumn('cf_eligible')],
slug='diet_quantity'),
AggregateColumn(
'Percentage of children whose mothers handwash before feeding',
percent_num,
[SumColumn('cf_handwashing'),
AliasColumn('cf_eligible')],
slug='handwashing'),
DatabaseColumn('Children (0 - 28 Days) Seeking Services',
SumColumn('valid_in_month',
filters=filters +
[EQ('age_tranche', 'age_0')],
alias='zero'),
slug='zero'),
DatabaseColumn('Children (28 Days - 6 mo) Seeking Services',
SumColumn('valid_in_month',
filters=filters +
[EQ('age_tranche', 'age_6')],
alias='one'),
slug='one'),
DatabaseColumn('Children (6 mo - 1 year) Seeking Services',
SumColumn('valid_in_month',
filters=filters +
[EQ('age_tranche', 'age_12')],
alias='two'),
slug='two'),
DatabaseColumn('Children (1 year - 3 years) Seeking Services',
SumColumn('valid_in_month',
filters=filters + [
OR([
EQ('age_tranche', 'age_24'),
EQ('age_tranche', 'age_36')
])
],
alias='three'),
slug='three'),
DatabaseColumn('Children (3 years - 6 years) Seeking Services',
SumColumn('valid_in_month',
filters=filters + [
OR([
EQ('age_tranche', 'age_48'),
EQ('age_tranche', 'age_60'),
EQ('age_tranche', 'age_72')
])
],
alias='four'),
slug='four'),
AggregateColumn(
'Percent of children born in month with low birth weight',
percent_num, [
SumColumn('low_birth_weight_in_month'),
SumColumn('weighed_and_born_in_month')
],
slug='low_birth_weight')
]
def get_prevalence_of_severe_sector_data(domain,
config,
loc_level,
location_id,
show_test=False,
icds_feature_flag=False):
group_by = ['%s_name' % loc_level]
config['month'] = datetime(*config['month'])
data = AggChildHealthMonthly.objects.filter(**config).values(
*group_by).annotate(
moderate=Sum(wasting_moderate_column(icds_feature_flag)),
severe=Sum(wasting_severe_column(icds_feature_flag)),
normal=Sum(wasting_normal_column(icds_feature_flag)),
total_height_eligible=Sum('height_eligible'),
total_weighed=Sum('nutrition_status_weighed'),
total_measured=Sum(
wfh_recorded_in_month_column(icds_feature_flag)),
).order_by('%s_name' % loc_level)
if not show_test:
data = apply_exclude(domain, data)
if 'age_tranche' not in config:
data = data.filter(age_tranche__lt=72)
chart_data = {
'blue': [],
}
tooltips_data = defaultdict(
lambda: {
'severe': 0,
'moderate': 0,
'total_height_eligible': 0,
'normal': 0,
'total_weighed': 0,
'total_measured': 0
})
if icds_feature_flag:
location_launched_status = get_location_launched_status(
config, loc_level)
else:
location_launched_status = None
for row in data:
if location_launched_status:
launched_status = location_launched_status.get(row['%s_name' %
loc_level])
if launched_status is None or launched_status <= 0:
continue
total_weighed = row['total_weighed'] or 0
name = row['%s_name' % loc_level]
severe = row['severe'] or 0
moderate = row['moderate'] or 0
normal = row['normal'] or 0
total_measured = row['total_measured'] or 0
total_height_eligible = row['total_height_eligible'] or 0
tooltips_data[name]['severe'] += severe
tooltips_data[name]['moderate'] += moderate
tooltips_data[name]['total_weighed'] += total_weighed
tooltips_data[name]['normal'] += normal
tooltips_data[name]['total_measured'] += total_measured
tooltips_data[name]['total_height_eligible'] += total_height_eligible
value = (moderate + severe) / float(total_weighed or 1)
chart_data['blue'].append([name, value])
chart_data['blue'] = sorted(chart_data['blue'])
gender_label, age_label, chosen_filters = chosen_filters_to_labels(
config, default_interval=default_age_interval(icds_feature_flag))
return {
"tooltips_data":
dict(tooltips_data),
"info":
_(wasting_help_text(age_label)),
"chart_data": [
{
"values": chart_data['blue'],
"key": "",
"strokeWidth": 2,
"classed": "dashed",
"color": MapColors.BLUE
},
]
}
def agg_child_health_monthly(self):
data = AggChildHealthMonthly.objects.filter(
awc_id__in=self.config['awc_id'],
aggregation_level=AWC_LOCATION_LEVEL,
month=self.config['month']
).values('awc_id').annotate(
boys_normal_0_3=Sum(self.filter_by({
'age_tranche__in': ['0', '6', '12', '24', '36'],
'gender': 'M'
}, 'nutrition_status_normal')),
girls_normal_0_3=Sum(self.filter_by({
'age_tranche__in': ['0', '6', '12', '24', '36'],
'gender': 'F'
}, 'nutrition_status_normal')),
boys_normal_3_5=Sum(self.filter_by({
'age_tranche__in': ['48', '60'],
'gender': 'M'
}, 'nutrition_status_normal')),
girls_normal_3_5=Sum(self.filter_by({
'age_tranche__in': ['48', '60'],
'gender': 'F'
}, 'nutrition_status_normal')),
boys_moderately_0_3=Sum(self.filter_by({
'age_tranche__in': ['0', '6', '12', '24', '36'],
'gender': 'M'
}, 'nutrition_status_moderately_underweight')),
girls_moderately_0_3=Sum(self.filter_by({
'age_tranche__in': ['0', '6', '12', '24', '36'],
'gender': 'F'
}, 'nutrition_status_moderately_underweight')),
boys_moderately_3_5=Sum(self.filter_by({
'age_tranche__in': ['48', '60'],
'gender': 'M'
}, 'nutrition_status_moderately_underweight')),
girls_moderately_3_5=Sum(self.filter_by({
'age_tranche__in': ['48', '60'],
'gender': 'F'
}, 'nutrition_status_moderately_underweight')),
boys_severely_0_3=Sum(self.filter_by({
'age_tranche__in': ['0', '6', '12', '24', '36'],
'gender': 'M'
}, 'nutrition_status_severely_underweight')),
girls_severely_0_3=Sum(self.filter_by({
'age_tranche__in': ['0', '6', '12', '24', '36'],
'gender': 'F'
}, 'nutrition_status_severely_underweight')),
boys_severely_3_5=Sum(self.filter_by({
'age_tranche__in': ['48', '60'],
'gender': 'M'
}, 'nutrition_status_severely_underweight')),
girls_severely_3_5=Sum(self.filter_by({
'age_tranche__in': ['48', '60'],
'gender': 'F'
}, 'nutrition_status_severely_underweight')),
boys_stunted_0_3=Sum(self.filter_by({
'age_tranche__in': ['0', '6', '12', '24', '36'],
'gender': 'M'
}, stunting_moderate_column(self.icds_feature_flag))) + Sum(self.filter_by({
'age_tranche__in': ['0', '6', '12', '24', '36'],
'gender': 'M'
}, stunting_severe_column(self.icds_feature_flag))),
girls_stunted_0_3=Sum(self.filter_by({
'age_tranche__in': ['0', '6', '12', '24', '36'],
'gender': 'F'
}, stunting_moderate_column(self.icds_feature_flag))) + Sum(self.filter_by({
'age_tranche__in': ['0', '6', '12', '24', '36'],
'gender': 'F'
}, stunting_severe_column(self.icds_feature_flag))),
boys_stunted_3_5=Sum(self.filter_by({
'age_tranche__in': ['48', '60'],
'gender': 'M'
}, stunting_moderate_column(self.icds_feature_flag))) + Sum(self.filter_by({
'age_tranche__in': ['48', '60'],
'gender': 'M'
}, stunting_severe_column(self.icds_feature_flag))),
girls_stunted_3_5=Sum(self.filter_by({
'age_tranche__in': ['48', '60'],
'gender': 'F'
}, stunting_moderate_column(self.icds_feature_flag))) + Sum(self.filter_by({
'age_tranche__in': ['48', '60'],
'gender': 'F'
}, stunting_severe_column(self.icds_feature_flag))),
boys_wasted_0_3=Sum(self.filter_by({
'age_tranche__in': ['0', '6', '12', '24', '36'],
'gender': 'M'
}, wasting_moderate_column(self.icds_feature_flag))) + Sum(self.filter_by({
'age_tranche__in': ['0', '6', '12', '24', '36'],
'gender': 'M'
}, wasting_severe_column(self.icds_feature_flag))),
girls_wasted_0_3=Sum(self.filter_by({
'age_tranche__in': ['0', '6', '12', '24', '36'],
'gender': 'F'
}, wasting_moderate_column(self.icds_feature_flag))) + Sum(self.filter_by({
'age_tranche__in': ['0', '6', '12', '24', '36'],
'gender': 'F'
}, wasting_severe_column(self.icds_feature_flag))),
boys_wasted_3_5=Sum(self.filter_by({
'age_tranche__in': ['48', '60'],
'gender': 'M'
}, wasting_moderate_column(self.icds_feature_flag))) + Sum(self.filter_by({
'age_tranche__in': ['48', '60'],
'gender': 'M'
}, wasting_severe_column(self.icds_feature_flag))),
girls_wasted_3_5=Sum(self.filter_by({
'age_tranche__in': ['48', '60'],
'gender': 'F'
}, wasting_moderate_column(self.icds_feature_flag))) + Sum(self.filter_by({
'age_tranche__in': ['48', '60'],
'gender': 'F'
}, wasting_severe_column(self.icds_feature_flag))),
sc_boys_6_36=Sum(self.filter_by({
'caste': 'sc',
'gender': 'M',
'age_tranche__in': ['6', '12', '24', '36']
}, 'rations_21_plus_distributed')),
sc_girls_6_36=Sum(self.filter_by({
'caste': 'sc',
'gender': 'F',
'age_tranche__in': ['6', '12', '24', '36']
}, 'rations_21_plus_distributed')),
st_boys_6_36=Sum(self.filter_by({
'caste': 'st',
'gender': 'M',
'age_tranche__in': ['6', '12', '24', '36']
}, 'rations_21_plus_distributed')),
st_girls_6_36=Sum(self.filter_by({
'caste': 'st',
'gender': 'F',
'age_tranche__in': ['6', '12', '24', '36']
}, 'rations_21_plus_distributed')),
obc_boys_6_36=Sum(self.filter_by({
'caste': 'obc',
'gender': 'M',
'age_tranche__in': ['6', '12', '24', '36']
}, 'rations_21_plus_distributed')),
obc_girls_6_36=Sum(self.filter_by({
'caste': 'obc',
'gender': 'F',
'age_tranche__in': ['6', '12', '24', '36']
}, 'rations_21_plus_distributed')),
general_boys_6_36=Sum(self.filter_by({
'caste': 'other',
'gender': 'M',
'age_tranche__in': ['6', '12', '24', '36']
}, 'rations_21_plus_distributed')),
general_girls_6_36=Sum(self.filter_by({
'caste': 'other',
'gender': 'F',
'age_tranche__in': ['6', '12', '24', '36']
}, 'rations_21_plus_distributed')),
total_boys_6_36=Sum(self.filter_by({
'gender': 'M',
'age_tranche__in': ['6', '12', '24', '36']
}, 'rations_21_plus_distributed')),
total_girls_6_36=Sum(self.filter_by({
'gender': 'F',
'age_tranche__in': ['6', '12', '24', '36']
}, 'rations_21_plus_distributed')),
minority_boys_6_36_num=Sum(self.filter_by({
'gender': 'M',
'age_tranche__in': ['6', '12', '24', '36'],
'minority': 'yes'
}, 'rations_21_plus_distributed')),
minority_girls_6_36_num=Sum(self.filter_by({
'gender': 'F',
'age_tranche__in': ['6', '12', '24', '36'],
'minority': 'yes'
}, 'rations_21_plus_distributed')),
)
return {row['awc_id']: row for row in data}
def get_data_for_child_health_monthly(date, filters):
age_filters = {'age_tranche': 72}
moderately_underweight = include_records_by_age_for_column(
{'age_tranche__lt': 72},
'nutrition_status_moderately_underweight'
)
severely_underweight = include_records_by_age_for_column(
{'age_tranche__lt': 72},
'nutrition_status_severely_underweight'
)
wasting_moderate = include_records_by_age_for_column(
{'age_tranche__lt': 72},
wasting_moderate_column(icds_feature_flag)
)
wasting_severe = include_records_by_age_for_column(
{'age_tranche__lt': 72},
wasting_severe_column(icds_feature_flag)
)
stunting_moderate = include_records_by_age_for_column(
{'age_tranche__lt': 72},
stunting_moderate_column(icds_feature_flag)
)
stunting_severe = include_records_by_age_for_column(
{'age_tranche__lt': 72},
stunting_severe_column(icds_feature_flag)
)
nutrition_status_weighed = include_records_by_age_for_column(
{'age_tranche__lt': 72},
'nutrition_status_weighed'
)
height_measured_in_month = include_records_by_age_for_column(
{'age_tranche__lt': 72},
hfa_recorded_in_month_column(icds_feature_flag)
)
weighed_and_height_measured_in_month = include_records_by_age_for_column(
{'age_tranche__lt': 72},
wfh_recorded_in_month_column(icds_feature_flag)
)
queryset = AggChildHealthMonthly.objects.filter(
month=date, **filters
).values(
'aggregation_level'
).annotate(
underweight=(
Sum(moderately_underweight) + Sum(severely_underweight)
),
valid=Sum(nutrition_status_weighed),
wasting=Sum(wasting_moderate) + Sum(wasting_severe),
stunting=Sum(stunting_moderate) + Sum(stunting_severe),
height_measured_in_month=Sum(height_measured_in_month),
weighed_and_height_measured_in_month=Sum(weighed_and_height_measured_in_month),
low_birth_weight=Sum('low_birth_weight_in_month'),
bf_birth=Sum('bf_at_birth'),
born=Sum('born_in_month'),
weighed_and_born_in_month=Sum('weighed_and_born_in_month'),
ebf=Sum('ebf_in_month'),
ebf_eli=Sum('ebf_eligible'),
cf_initiation=Sum('cf_initiation_in_month'),
cf_initiation_eli=Sum('cf_initiation_eligible')
)
if not show_test:
queryset = apply_exclude(domain, queryset)
return queryset