def test_sector_data(self):
self.assertDictEqual(
get_newborn_with_low_birth_weight_data('icds-cas',
config={
'month': (2017, 5, 1),
'state_id': 'st1',
'district_id': 'd1',
'block_id': 'b1',
'aggregation_level': 4
},
loc_level='supervisor'),
{
"info":
"Percentage of newborns with born with birth weight less than 2500 grams."
"<br/><br/>Newborns with Low Birth Weight are closely associated with foetal"
" and neonatal mortality and morbidity, inhibited growth and cognitive development,"
" and chronic diseases later in life",
"tooltips_data": {
"s2": {
"in_month": 0,
"low_birth": 0
},
"s1": {
"in_month": 1,
"low_birth": 1
}
},
"chart_data": [{
"color": "#006fdf",
"classed": "dashed",
"strokeWidth": 2,
"values": [["s1", 1.0], ["s2", 0.0]],
"key": ""
}]
})
def test_sector_data_tooltips_data(self):
data = get_newborn_with_low_birth_weight_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": {
"in_month": 0,
"low_birth": 0,
"all": 0
},
"s1": {
"in_month": 1,
"low_birth": 1,
"all": 1
}
})
def test_sector_data_chart_data(self):
data = get_newborn_with_low_birth_weight_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",
1.0
],
[
"s2",
0.0
]
],
"key": ""
}
]
)
def test_sector_data_chart_data(self):
data = get_newborn_with_low_birth_weight_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",
1.0
],
[
"s2",
0.0
]
],
"key": ""
}
]
)
def test_sector_data_tooltips_data(self):
data = get_newborn_with_low_birth_weight_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": {
"in_month": 0,
"low_birth": 0,
"all": 0
},
"s1": {
"in_month": 1,
"low_birth": 1,
"all": 1
}
}
)
def test_sector_data_keys_length(self):
data = get_newborn_with_low_birth_weight_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_newborn_with_low_birth_weight_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_info(self):
data = get_newborn_with_low_birth_weight_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'],
new_born_with_low_weight_help_text(html=True))
def test_sector_data_info(self):
data = get_newborn_with_low_birth_weight_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'],
new_born_with_low_weight_help_text(html=True)
)
def test_sector_data_info(self):
data = get_newborn_with_low_birth_weight_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 newborns with born with birth weight less than 2500 grams."
"<br/><br/>Newborns with Low Birth Weight are closely associated with foetal"
" and neonatal mortality and morbidity, inhibited growth and cognitive development,"
" and chronic diseases later in life",
)
def test_sector_data_info(self):
data = get_newborn_with_low_birth_weight_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'],
"Of all the children born in the current month and enrolled for Anganwadi services, the percentage "
"that had a birth weight less than 2500 grams. "
"<br/><br/>"
"Newborns with Low Birth Weight are closely associated wtih foetal and neonatal mortality "
"and morbidity, inhibited growth and cognitive development, and chronic diseases later in life. ",
)
