def test_sector_data(self):
self.assertDictEqual(
get_medicine_kit_sector_data('icds-cas',
config={
'month': (2017, 5, 1),
'state_id': 'st1',
'district_id': 'd1',
'block_id': 'b1',
'aggregation_level': 4
},
location_id='b1',
loc_level='supervisor'),
{
"info":
awcs_reported_medicine_kit_help_text(),
"tooltips_data": {
"s2": {
"in_month": 2,
"all": 3
},
"s1": {
"in_month": 3,
"all": 5
}
},
"chart_data":
[{
"color": MapColors.BLUE,
"values": [["s1", 0.6], ["s2", 0.6666666666666666]],
"strokeWidth": 2,
"classed": "dashed",
"key": ""
}]
})
def get_medicine_kit_sector_data(domain, config, loc_level, location_id, show_test=False):
group_by = ['%s_name' % loc_level]
config['month'] = datetime(*config['month'])
data = AggAwcMonthly.objects.filter(
**config
).values(
*group_by
).annotate(
in_month=Sum('infra_medicine_kits'),
all=Sum('num_awc_infra_last_update'),
).order_by('%s_name' % loc_level)
if not show_test:
data = apply_exclude(domain, data)
chart_data = {
'blue': [],
}
tooltips_data = defaultdict(lambda: {
'in_month': 0,
'all': 0
})
for row in data:
valid = row['all']
name = row['%s_name' % loc_level]
in_month = row['in_month']
row_values = {
'in_month': in_month or 0,
'all': valid or 0
}
for prop, value in row_values.items():
tooltips_data[name][prop] += value
value = (in_month or 0) / float(valid or 1)
chart_data['blue'].append([
name, value
])
chart_data['blue'] = sorted(chart_data['blue'])
return {
"tooltips_data": dict(tooltips_data),
"info": awcs_reported_medicine_kit_help_text(),
"chart_data": [
{
"values": chart_data['blue'],
"key": "",
"strokeWidth": 2,
"classed": "dashed",
"color": MapColors.BLUE
},
]
}
def test_map_data_right_legend_info(self):
data = get_medicine_kit_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
expected = awcs_reported_medicine_kit_help_text()
self.assertEquals(data['rightLegend']['info'], expected)
def get_medicine_kit_data_map(domain, config, loc_level, show_test=False):
def get_data_for(filters):
filters['month'] = datetime(*filters['month'])
queryset = AggAwcMonthly.objects.filter(
**filters
).values(
'%s_name' % loc_level, '%s_map_location_name' % loc_level
).annotate(
in_month=Sum('infra_medicine_kits'),
all=Sum('num_awc_infra_last_update'),
).order_by('%s_name' % loc_level, '%s_map_location_name' % loc_level)
if not show_test:
queryset = apply_exclude(domain, queryset)
return queryset
data_for_map, valid_total, in_month_total, average, total = generate_data_for_map(
get_data_for(config),
loc_level,
'in_month',
'all',
25,
75
)
fills = OrderedDict()
fills.update({'0%-25%': MapColors.RED})
fills.update({'25%-75%': MapColors.ORANGE})
fills.update({'75%-100%': MapColors.PINK})
fills.update({'defaultFill': MapColors.GREY})
return {
"slug": "medicine_kit",
"label": "Percentage of AWCs that reported having a Medicine Kit",
"fills": fills,
"rightLegend": {
"average": average,
"info": awcs_reported_medicine_kit_help_text(),
"extended_info": [
{
'indicator': (
'Total number of AWCs with a Medicine Kit:'
),
'value': indian_formatted_number(in_month_total)
},
{
'indicator': (
'% of AWCs with a Medicine Kit:'
),
'value': '%.2f%%' % (in_month_total * 100 / float(valid_total or 1))
}
]
},
"data": dict(data_for_map),
}
def get_medicine_kit_data_map(domain, config, loc_level, show_test=False):
def get_data_for(filters):
filters['month'] = datetime(*filters['month'])
queryset = AggAwcMonthly.objects.filter(
**filters
).values(
'%s_name' % loc_level, '%s_map_location_name' % loc_level
).annotate(
in_month=Sum('infra_medicine_kits'),
all=Sum('num_awc_infra_last_update'),
).order_by('%s_name' % loc_level, '%s_map_location_name' % loc_level)
if not show_test:
queryset = apply_exclude(domain, queryset)
return queryset
data_for_map, valid_total, in_month_total, average, total = generate_data_for_map(
get_data_for(config),
loc_level,
'in_month',
'all',
25,
75
)
fills = OrderedDict()
fills.update({'0%-25%': MapColors.RED})
fills.update({'25%-75%': MapColors.ORANGE})
fills.update({'75%-100%': MapColors.PINK})
fills.update({'defaultFill': MapColors.GREY})
return {
"slug": "medicine_kit",
"label": "Percentage of AWCs that reported having a Medicine Kit",
"fills": fills,
"rightLegend": {
"average": average,
"info": awcs_reported_medicine_kit_help_text(),
"extended_info": [
{
'indicator': (
'Total number of AWCs with a Medicine Kit:'
),
'value': indian_formatted_number(in_month_total)
},
{
'indicator': (
'% of AWCs with a Medicine Kit:'
),
'value': '%.2f%%' % (in_month_total * 100 / float(valid_total or 1))
}
]
},
"data": dict(data_for_map),
}
def test_map_data_right_legend_info(self):
data = get_medicine_kit_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
expected = awcs_reported_medicine_kit_help_text()
self.assertEquals(data['rightLegend']['info'], expected)
def test_sector_data(self):
self.assertDictEqual(
get_medicine_kit_sector_data(
'icds-cas',
config={
'month': (2017, 5, 1),
'state_id': 'st1',
'district_id': 'd1',
'block_id': 'b1',
'aggregation_level': 4
},
location_id='b1',
loc_level='supervisor'
),
{
"info": awcs_reported_medicine_kit_help_text(),
"tooltips_data": {
"s2": {
"in_month": 2,
"all": 3
},
"s1": {
"in_month": 3,
"all": 5
}
},
"chart_data": [
{
"color": MapColors.BLUE,
"values": [
[
"s1",
0.6
],
[
"s2",
0.6666666666666666
]
],
"strokeWidth": 2,
"classed": "dashed",
"key": ""
}
]
}
)
def test_data_AWCs_reported_medicine_kit(self):
self.assertDictEqual(
get_awc_infrastructure_data(
'icds-cas', {
'month': (2017, 5, 1),
'prev_month': (2017, 4, 1),
'aggregation_level': 1
})['records'][2][0], {
"redirect": "awc_infrastructure/medicine_kit",
"all": 30,
"format": "percent_and_div",
"color": "red",
"percent": -15.151515151515161,
"value": 20,
"label": "AWCs Reported Medicine Kit",
"frequency": "month",
"help_text": awcs_reported_medicine_kit_help_text()
})
def test_data_AWCs_reported_medicine_kit(self):
self.assertDictEqual(
get_awc_infrastructure_data(
'icds-cas',
{
'month': (2017, 5, 1),
'prev_month': (2017, 4, 1),
'aggregation_level': 1
}
)['records'][2][0],
{
"redirect": "awc_infrastructure/medicine_kit",
"all": 30,
"format": "percent_and_div",
"color": "red",
"percent": -15.151515151515161,
"value": 20,
"label": "AWCs Reported Medicine Kit",
"frequency": "month",
"help_text": awcs_reported_medicine_kit_help_text()
}
)
def get_awc_infrastructure_data(domain, config, show_test=False):
def get_data_for(month, filters):
queryset = AggAwcMonthly.objects.filter(
month=month, **filters
).values(
'aggregation_level'
).annotate(
clean_water=Sum('infra_clean_water'),
functional_toilet=Sum('infra_functional_toilet'),
medicine_kits=Sum('infra_medicine_kits'),
infant_scale=Sum('infra_infant_weighing_scale'),
adult_scale=Sum('infra_adult_weighing_scale'),
sum_last_update=Sum('num_awc_infra_last_update')
)
if not show_test:
queryset = apply_exclude(domain, queryset)
return queryset
current_month = datetime(*config['month'])
previous_month = datetime(*config['prev_month'])
del config['month']
del config['prev_month']
this_month_data = get_data_for(current_month, config)
prev_month_data = get_data_for(previous_month, config)
return {
'records': [
[
{
'label': _('AWCs Reported Clean Drinking Water'),
'help_text': awcs_reported_clean_drinking_water_help_text(),
'percent': percent_diff(
'clean_water',
this_month_data,
prev_month_data,
'sum_last_update'
),
'color': get_color_with_green_positive(percent_diff(
'clean_water',
this_month_data,
prev_month_data,
'sum_last_update'
)),
'value': get_value(this_month_data, 'clean_water'),
'all': get_value(this_month_data, 'sum_last_update'),
'format': 'percent_and_div',
'frequency': 'month',
'redirect': 'awc_infrastructure/clean_water'
},
{
'label': _("AWCs Reported Functional Toilet"),
'help_text': awcs_reported_functional_toilet_help_text(),
'percent': percent_diff(
'functional_toilet',
this_month_data,
prev_month_data,
'sum_last_update'
),
'color': get_color_with_green_positive(percent_diff(
'functional_toilet',
this_month_data,
prev_month_data,
'sum_last_update'
)),
'value': get_value(this_month_data, 'functional_toilet'),
'all': get_value(this_month_data, 'sum_last_update'),
'format': 'percent_and_div',
'frequency': 'month',
'redirect': 'awc_infrastructure/functional_toilet'
}
],
[
# {
# 'label': _('AWCs with Electricity'),
# 'help_text': _('Percentage of AWCs with access to electricity'),
# 'percent': 0,
# 'value': 0,
# 'all': 0,
# 'format': 'percent_and_div',
# 'frequency': 'month'
# },
{
'label': _('AWCs Reported Weighing Scale: Infants'),
'help_text': awcs_reported_weighing_scale_infants_help_text(),
'percent': percent_diff(
'infant_scale',
this_month_data,
prev_month_data,
'sum_last_update'
),
'color': get_color_with_green_positive(percent_diff(
'infant_scale',
this_month_data,
prev_month_data,
'sum_last_update'
)),
'value': get_value(this_month_data, 'infant_scale'),
'all': get_value(this_month_data, 'sum_last_update'),
'format': 'percent_and_div',
'frequency': 'month',
'redirect': 'awc_infrastructure/infants_weight_scale'
},
{
'label': _('AWCs Reported Weighing Scale: Mother and Child'),
'help_text': awcs_reported_weighing_scale_mother_and_child_help_text(),
'percent': percent_diff(
'adult_scale',
this_month_data,
prev_month_data,
'sum_last_update'
),
'color': get_color_with_green_positive(percent_diff(
'adult_scale',
this_month_data,
prev_month_data,
'sum_last_update'
)),
'value': get_value(this_month_data, 'adult_scale'),
'all': get_value(this_month_data, 'sum_last_update'),
'format': 'percent_and_div',
'frequency': 'month',
'redirect': 'awc_infrastructure/adult_weight_scale'
}
],
[
{
'label': _('AWCs Reported Medicine Kit'),
'help_text': awcs_reported_medicine_kit_help_text(),
'percent': percent_diff(
'medicine_kits',
this_month_data,
prev_month_data,
'sum_last_update'
),
'color': get_color_with_green_positive(percent_diff(
'medicine_kits',
this_month_data,
prev_month_data,
'sum_last_update'
)),
'value': get_value(this_month_data, 'medicine_kits'),
'all': get_value(this_month_data, 'sum_last_update'),
'format': 'percent_and_div',
'frequency': 'month',
'redirect': 'awc_infrastructure/medicine_kit'
}
],
# [
# {
# 'label': _('AWCs with infantometer'),
# 'help_text': _('Percentage of AWCs with an Infantometer'),
# 'percent': 0,
# 'value': 0,
# 'all': 0,
# 'format': 'percent_and_div',
# 'frequency': 'month'
# },
# {
# 'label': _('AWCs with Stadiometer'),
# 'help_text': _('Percentage of AWCs with a Stadiometer'),
# 'percent': 0,
# 'value': 0,
# 'all': 0,
# 'format': 'percent_and_div',
# 'frequency': 'month'
# }
# ]
]
}
def get_awc_infrastructure_data(domain, config, show_test=False):
def get_data_for(month, filters):
queryset = AggAwcMonthly.objects.filter(
month=month, **filters
).values(
'aggregation_level'
).annotate(
clean_water=Sum('infra_clean_water'),
functional_toilet=Sum('infra_functional_toilet'),
medicine_kits=Sum('infra_medicine_kits'),
infant_scale=Sum('infra_infant_weighing_scale'),
adult_scale=Sum('infra_adult_weighing_scale'),
sum_last_update=Sum('num_awc_infra_last_update')
)
if not show_test:
queryset = apply_exclude(domain, queryset)
return queryset
current_month = datetime(*config['month'])
previous_month = datetime(*config['prev_month'])
del config['month']
del config['prev_month']
this_month_data = get_data_for(current_month, config)
prev_month_data = get_data_for(previous_month, config)
return {
'records': [
[
{
'label': _('AWCs Reported Clean Drinking Water'),
'help_text': awcs_reported_clean_drinking_water_help_text(),
'percent': percent_diff(
'clean_water',
this_month_data,
prev_month_data,
'sum_last_update'
),
'color': 'green' if percent_diff(
'clean_water',
this_month_data,
prev_month_data,
'sum_last_update'
) > 0 else 'red',
'value': get_value(this_month_data, 'clean_water'),
'all': get_value(this_month_data, 'sum_last_update'),
'format': 'percent_and_div',
'frequency': 'month',
'redirect': 'awc_infrastructure/clean_water'
},
{
'label': _("AWCs Reported Functional Toilet"),
'help_text': awcs_reported_functional_toilet_help_text(),
'percent': percent_diff(
'functional_toilet',
this_month_data,
prev_month_data,
'sum_last_update'
),
'color': 'green' if percent_diff(
'functional_toilet',
this_month_data,
prev_month_data,
'sum_last_update'
) > 0 else 'red',
'value': get_value(this_month_data, 'functional_toilet'),
'all': get_value(this_month_data, 'sum_last_update'),
'format': 'percent_and_div',
'frequency': 'month',
'redirect': 'awc_infrastructure/functional_toilet'
}
],
[
# {
# 'label': _('AWCs with Electricity'),
# 'help_text': _('Percentage of AWCs with access to electricity'),
# 'percent': 0,
# 'value': 0,
# 'all': 0,
# 'format': 'percent_and_div',
# 'frequency': 'month'
# },
{
'label': _('AWCs Reported Weighing Scale: Infants'),
'help_text': awcs_reported_weighing_scale_infants_help_text(),
'percent': percent_diff(
'infant_scale',
this_month_data,
prev_month_data,
'sum_last_update'
),
'color': 'green' if percent_diff(
'infant_scale',
this_month_data,
prev_month_data,
'sum_last_update'
) > 0 else 'red',
'value': get_value(this_month_data, 'infant_scale'),
'all': get_value(this_month_data, 'sum_last_update'),
'format': 'percent_and_div',
'frequency': 'month',
'redirect': 'awc_infrastructure/infants_weight_scale'
},
{
'label': _('AWCs Reported Weighing Scale: Mother and Child'),
'help_text': awcs_reported_weighing_scale_mother_and_child_help_text(),
'percent': percent_diff(
'adult_scale',
this_month_data,
prev_month_data,
'sum_last_update'
),
'color': 'green' if percent_diff(
'adult_scale',
this_month_data,
prev_month_data,
'sum_last_update'
) > 0 else 'red',
'value': get_value(this_month_data, 'adult_scale'),
'all': get_value(this_month_data, 'sum_last_update'),
'format': 'percent_and_div',
'frequency': 'month',
'redirect': 'awc_infrastructure/adult_weight_scale'
}
],
[
{
'label': _('AWCs Reported Medicine Kit'),
'help_text': awcs_reported_medicine_kit_help_text(),
'percent': percent_diff(
'medicine_kits',
this_month_data,
prev_month_data,
'sum_last_update'
),
'color': 'green' if percent_diff(
'medicine_kits',
this_month_data,
prev_month_data,
'sum_last_update'
) > 0 else 'red',
'value': get_value(this_month_data, 'medicine_kits'),
'all': get_value(this_month_data, 'sum_last_update'),
'format': 'percent_and_div',
'frequency': 'month',
'redirect': 'awc_infrastructure/medicine_kit'
}
],
# [
# {
# 'label': _('AWCs with infantometer'),
# 'help_text': _('Percentage of AWCs with an Infantometer'),
# 'percent': 0,
# 'value': 0,
# 'all': 0,
# 'format': 'percent_and_div',
# 'frequency': 'month'
# },
# {
# 'label': _('AWCs with Stadiometer'),
# 'help_text': _('Percentage of AWCs with a Stadiometer'),
# 'percent': 0,
# 'value': 0,
# 'all': 0,
# 'format': 'percent_and_div',
# 'frequency': 'month'
# }
# ]
]
}
def get_medicine_kit_sector_data(domain, config, loc_level, location_id, show_test=False):
group_by = ['%s_name' % loc_level]
config['month'] = datetime(*config['month'])
data = AggAwcMonthly.objects.filter(
**config
).values(
*group_by
).annotate(
in_month=Sum('infra_medicine_kits'),
all=Sum('num_awc_infra_last_update'),
).order_by('%s_name' % loc_level)
if not show_test:
data = apply_exclude(domain, data)
chart_data = {
'blue': [],
}
tooltips_data = defaultdict(lambda: {
'in_month': 0,
'all': 0
})
loc_children = get_child_locations(domain, location_id, show_test)
result_set = set()
for row in data:
valid = row['all']
name = row['%s_name' % loc_level]
result_set.add(name)
in_month = row['in_month']
row_values = {
'in_month': in_month or 0,
'all': valid or 0
}
for prop, value in six.iteritems(row_values):
tooltips_data[name][prop] += value
value = (in_month or 0) / float(valid 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": awcs_reported_medicine_kit_help_text(),
"chart_data": [
{
"values": chart_data['blue'],
"key": "",
"strokeWidth": 2,
"classed": "dashed",
"color": MapColors.BLUE
},
]
}
