def test_map_data_right_legend_extended_info(self):
data = get_newborn_with_low_birth_weight_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertListEqual(data['rightLegend']['extended_info'], [
{
'indicator': 'Total Number of Newborns born in given month:',
'value': "5"
},
{
'indicator': 'Number of Newborns with LBW in given month:',
'value': "1"
},
{
'indicator':
'Total Number of children born and weight in given month:',
'value': '3'
},
{
'indicator': '% newborns with LBW in given month:',
'value': '33.33%'
},
{
'indicator': '% of children with weight in normal:',
'value': '66.67%'
},
{
'indicator': '% Unweighted:',
'value': '40.00%'
},
])
def test_map_data(self):
data = get_newborn_with_low_birth_weight_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertDictEqual(
data['data'], {
'st7': {
'in_month': 0,
'original_name': ['st7'],
'low_birth': 0,
'all': 0,
'fillKey': '0%-20%'
},
'st1': {
'in_month': 2,
'original_name': ['st1'],
'low_birth': 1,
'all': 2,
'fillKey': '20%-60%'
},
'st2': {
'in_month': 1,
'original_name': ['st2'],
'low_birth': 0,
'all': 3,
'fillKey': '0%-20%'
},
})
def test_map_data_slug(self):
data = get_newborn_with_low_birth_weight_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertEquals(data['slug'], 'low_birth')
def test_map_data_right_legend_average(self):
data = get_newborn_with_low_birth_weight_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertEquals(data['rightLegend']['average'], 33.333333333333336)
def test_map_data_right_legend_info(self):
data = get_newborn_with_low_birth_weight_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
expected = (new_born_with_low_weight_help_text(html=True))
self.assertEquals(data['rightLegend']['info'], expected)
def test_map_data_label(self):
data = get_newborn_with_low_birth_weight_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertEquals(data['label'],
'Percent Newborns with Low Birth Weight')
def test_map_data(self):
self.assertDictEqual(
get_newborn_with_low_birth_weight_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'),
{
"rightLegend": {
"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",
"average":
25.0,
'extended_info': [{
'indicator':
'Total Number of Newborns born in given month:',
'value': "7"
}, {
'indicator':
'Number of Newborns with LBW in given month:',
'value': "2"
}, {
'indicator': '% newborns with LBW in given month:',
'value': '28.57%'
}, {
'indicator': '% Unweighed:',
'value': '71.43%'
}]
},
"fills": {
"0%-20%": MapColors.PINK,
"20%-60%": MapColors.ORANGE,
"60%-100%": MapColors.RED,
"defaultFill": MapColors.GREY
},
"data": {
"st1": {
"in_month": 4,
"low_birth": 2,
'original_name': ["st1"],
"fillKey": "20%-60%"
},
"st2": {
"in_month": 3,
"low_birth": 0,
'original_name': ["st2"],
"fillKey": "0%-20%"
}
},
"slug": "low_birth",
"label": "Percent Newborns with Low Birth Weight"
})
def test_map_data_label(self):
data = get_newborn_with_low_birth_weight_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEquals(data['label'], 'Percent Newborns with Low Birth Weight')
def test_map_data_right_legend_average(self):
data = get_newborn_with_low_birth_weight_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEquals(data['rightLegend']['average'], 33.333333333333336)
def test_map_data_slug(self):
data = get_newborn_with_low_birth_weight_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEquals(data['slug'], 'low_birth')
def test_average_with_two_locations_represent_by_one_topojson(self):
data = get_newborn_with_low_birth_weight_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'state_id': 'st1',
'district_id': 'd1',
'aggregation_level': 3
},
loc_level='block',
)
self.assertEquals(data['rightLegend']['average'], 50.0)
def test_map_data_right_legend_keys(self):
data = get_newborn_with_low_birth_weight_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')['rightLegend']
self.assertEquals(len(data), 3)
self.assertIn('info', data)
self.assertIn('average', data)
self.assertIn('extended_info', data)
def test_average_with_two_locations_represent_by_one_topojson(self):
data = get_newborn_with_low_birth_weight_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'state_id': 'st1',
'district_id': 'd1',
'aggregation_level': 3
},
loc_level='block',
)
self.assertEquals(data['rightLegend']['average'], 50.0)
def test_map_data_right_legend_info(self):
data = get_newborn_with_low_birth_weight_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
expected = (
new_born_with_low_weight_help_text(html=True)
)
self.assertEquals(data['rightLegend']['info'], expected)
def test_map_data_right_legend_info(self):
data = get_newborn_with_low_birth_weight_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
expected = (
"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")
self.assertEquals(data['rightLegend']['info'], expected)
def test_map_data_right_legend_keys(self):
data = get_newborn_with_low_birth_weight_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)['rightLegend']
self.assertEquals(len(data), 3)
self.assertIn('info', data)
self.assertIn('average', data)
self.assertIn('extended_info', data)
def test_map_data_keys(self):
data = get_newborn_with_low_birth_weight_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertEquals(len(data), 5)
self.assertIn('rightLegend', data)
self.assertIn('fills', data)
self.assertIn('data', data)
self.assertIn('slug', data)
self.assertIn('label', data)
def test_map_data_fills(self):
data = get_newborn_with_low_birth_weight_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertDictEqual(
data['fills'], {
"0%-20%": MapColors.PINK,
"20%-60%": MapColors.ORANGE,
"60%-100%": MapColors.RED,
"defaultFill": MapColors.GREY
})
def test_map_data_keys(self):
data = get_newborn_with_low_birth_weight_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEquals(len(data), 5)
self.assertIn('rightLegend', data)
self.assertIn('fills', data)
self.assertIn('data', data)
self.assertIn('slug', data)
self.assertIn('label', data)
def test_map_data_right_legend_info(self):
data = get_newborn_with_low_birth_weight_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
expected = (
"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. "
)
self.assertEquals(data['rightLegend']['info'], expected)
def test_map_data_fills(self):
data = get_newborn_with_low_birth_weight_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertDictEqual(
data['fills'],
{
"0%-20%": MapColors.PINK,
"20%-60%": MapColors.ORANGE,
"60%-100%": MapColors.RED,
"defaultFill": MapColors.GREY
}
)
def test_map_data_right_legend_extended_info(self):
data = get_newborn_with_low_birth_weight_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertListEqual(
data['rightLegend']['extended_info'],
[
{'indicator': 'Total Number of Newborns born in given month:', 'value': "5"},
{'indicator': 'Number of Newborns with LBW in given month:', 'value': "1"},
{'indicator': 'Total Number of children born and weight in given month:', 'value': '3'},
{'indicator': '% newborns with LBW in given month:', 'value': '33.33%'},
{'indicator': '% of children with weight in normal:', 'value': '66.67%'},
{'indicator': '% Unweighted:', 'value': '40.00%'},
]
)
def test_map_name_two_locations_represent_by_one_topojson(self):
data = get_newborn_with_low_birth_weight_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'state_id': 'st1',
'district_id': 'd1',
'aggregation_level': 3
},
loc_level='block',
)
self.assertDictEqual(
data['data'], {
'block_map': {
'in_month': 4,
'original_name': ['b1', 'b2'],
'low_birth': 2,
'fillKey': '20%-60%'
}
})
def test_map_data(self):
data = get_newborn_with_low_birth_weight_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertDictEqual(
data['data'],
{
'st4': {'in_month': 0, 'original_name': ['st4'], 'low_birth': 0, 'all': 0, 'fillKey': '0%-20%'},
'st5': {'in_month': 0, 'original_name': ['st5'], 'low_birth': 0, 'all': 0, 'fillKey': '0%-20%'},
'st6': {'in_month': 0, 'original_name': ['st6'], 'low_birth': 0, 'all': 0, 'fillKey': '0%-20%'},
'st7': {'in_month': 0, 'original_name': ['st7'], 'low_birth': 0, 'all': 0, 'fillKey': '0%-20%'},
'st1': {'in_month': 2, 'original_name': ['st1'], 'low_birth': 1, 'all': 2, 'fillKey': '20%-60%'},
'st2': {'in_month': 1, 'original_name': ['st2'], 'low_birth': 0, 'all': 3, 'fillKey': '0%-20%'},
'st3': {'in_month': 0, 'original_name': ['st3'], 'low_birth': 0, 'all': 0, 'fillKey': '0%-20%'}
}
)
def test_map_data_right_legend_extended_info(self):
data = get_newborn_with_low_birth_weight_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertListEqual(
data['rightLegend']['extended_info'], [{
'indicator': 'Total Number of Newborns born in given month:',
'value': "7"
}, {
'indicator': 'Number of Newborns with LBW in given month:',
'value': "2"
}, {
'indicator': '% newborns with LBW in given month:',
'value': '50.00%'
}, {
'indicator': '% Unweighted:',
'value': '57.14%'
}])
def test_map_data(self):
data = get_newborn_with_low_birth_weight_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertDictEqual(
data['data'], {
"st1": {
"in_month": 4,
"low_birth": 2,
'original_name': ["st1"],
"fillKey": "20%-60%"
},
"st2": {
"in_month": 3,
"low_birth": 0,
'original_name': ["st2"],
"fillKey": "0%-20%"
}
})
def test_map_data(self):
self.assertDictEqual(
get_newborn_with_low_birth_weight_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')[0],
{
"rightLegend": {
"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",
"average":
28.571428571428573
},
"fills": {
"0%-20%": "#fee0d2",
"20%-60%": "#fc9272",
"60%-100%": "#de2d26",
"defaultFill": "#9D9D9D"
},
"data": {
"st1": {
"in_month": 4,
"low_birth": 2,
"fillKey": "20%-60%"
},
"st2": {
"in_month": 3,
"low_birth": 0,
"fillKey": "0%-20%"
}
},
"slug": "low_birth",
"label": "Percent Newborns with Low Birth Weight"
})
def test_map_name_two_locations_represent_by_one_topojson(self):
data = get_newborn_with_low_birth_weight_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'state_id': 'st1',
'district_id': 'd1',
'aggregation_level': 3
},
loc_level='block',
)
self.assertDictEqual(
data['data'],
{
'block_map': {
'in_month': 2,
'original_name': ['b1', 'b2'],
'low_birth': 1,
'all': 2,
'fillKey': '20%-60%'
}
}
)
