def test_sector_data_chart_data(self):
data = get_prevalence_of_stunting_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'
)
self.assertListEqual(
data['chart_data'],
[
{
"color": MapColors.BLUE,
"classed": "dashed",
"strokeWidth": 2,
"values": [
[
"s1",
0.0
],
[
"s2",
0.0
]
],
"key": ""
}
]
)
def test_sector_data_tooltips_data_icds_feature_flag_enabled(self):
data = get_prevalence_of_stunting_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',
show_test=False,
icds_feature_flag=True
)
self.assertDictEqual(
data['tooltips_data'],
{
"s1": {
"total": 71,
"severe": 0,
"moderate": 0,
"total_measured": 0,
"normal": 0
},
"s2": {
"total": 153,
"severe": 0,
"moderate": 0,
"total_measured": 0,
"normal": 0
},
}
)
def test_sector_data_chart_data(self):
data = get_prevalence_of_stunting_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'
)
self.assertListEqual(
data['chart_data'],
[
{
"color": MapColors.BLUE,
"classed": "dashed",
"strokeWidth": 2,
"values": [
[
"s1",
0.0
],
[
"s2",
0.5
]
],
"key": ""
}
]
)
def test_sector_data_tooltips_data(self):
data = get_prevalence_of_stunting_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')
self.assertDictEqual(
data['tooltips_data'], {
"s2": {
"total": 150,
"severe": 0,
"moderate": 2,
"total_measured": 4,
"normal": 2
},
"s1": {
"total": 70,
"severe": 0,
"moderate": 0,
"total_measured": 0,
"normal": 0
}
})
def test_sector_data_tooltips_data(self):
data = get_prevalence_of_stunting_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'
)
self.assertDictEqual(
data['tooltips_data'],
{
"s2": {
"total": 153,
"severe": 0,
"moderate": 2,
"total_measured": 4,
"normal": 2
},
"s1": {
"total": 71,
"severe": 0,
"moderate": 0,
"total_measured": 0,
"normal": 0
}
}
)
def test_sector_data_keys_length(self):
data = get_prevalence_of_stunting_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'
)
self.assertEquals(len(data), 3)
def test_sector_data_keys_length(self):
data = get_prevalence_of_stunting_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'
)
self.assertEqual(len(data), 3)
def test_sector_data(self):
self.assertDictEqual(
get_prevalence_of_stunting_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":
"Percentage of children (6-60 months) enrolled for ICDS services with height-for-age below"
" -2Z standard deviations of the WHO Child Growth Standards median."
"<br/><br/>Stunting is a sign of chronic undernutrition "
"and has long lasting harmful consequences on the growth of a child",
"tooltips_data": {
"s2": {
"total": 150,
"severe": 0,
"moderate": 2,
"total_measured": 4,
"normal": 2
},
"s1": {
"total": 70,
"severe": 0,
"moderate": 0,
"total_measured": 0,
"normal": 0
}
},
"chart_data":
[{
"color": MapColors.BLUE,
"classed": "dashed",
"strokeWidth": 2,
"values": [["s1", 0.0], ["s2", 0.013333333333333334]],
"key": ""
}]
})
def test_sector_data_info(self):
data = get_prevalence_of_stunting_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')
self.assertEqual(
data['info'],
"Of the children enrolled for Anganwadi services, whose height was measured, the percentage of "
"children between (0 - 5 years) who were moderately/severely stunted in the current month. "
"<br/><br/>"
"Stunting is a sign of chronic undernutrition and has long lasting harmful "
"consequences on the growth of a child")
def test_sector_data_info(self):
data = get_prevalence_of_stunting_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')
self.assertEquals(
data['info'],
"Percentage of children (6 - 60 months) enrolled for Anganwadi Services with height-for-age below"
" -2Z standard deviations of the WHO Child Growth Standards median."
"<br/><br/>Stunting is a sign of chronic undernutrition "
"and has long lasting harmful consequences on the growth of a child"
)
def test_sector_data_info(self):
data = get_prevalence_of_stunting_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'
)
self.assertEqual(
data['info'],
"Of the children enrolled for Anganwadi services, whose height was measured, the percentage of "
"children between (0 - 5 years) who were moderately/severely stunted in the current month. "
"<br/><br/>"
"Stunting is a sign of chronic undernutrition and has long lasting harmful "
"consequences on the growth of a child"
)
