def test_map_data(self):
self.assertDictEqual(
get_prevalence_of_undernutrition_data_map(
'icds-cas', config={'month': (2017, 5, 1)}, loc_level='state'),
{
'rightLegend': {
'info':
u'Percentage of children between 0 - 5 years enrolled for ICDS services'
u' with weight-for-age less than -2 standard deviations'
u' of the WHO Child Growth Standards median.'
u' <br/><br/>Children who are moderately or severely underweight'
u' have a higher risk of mortality',
'average':
19.8488634036453,
'extended_info': [{
'indicator':
'Total Children (0 - 5 years) weighed in given month:',
'value': '4,945'
}, {
'indicator': '% Unweighed (0 - 5 years):',
'value': '3.44%'
}, {
'indicator': '% Severely Underweight (0 - 5 years):',
'value': '2.22%'
}, {
'indicator': '% Moderately Underweight (0 - 5 years):',
'value': '17.59%'
}, {
'indicator': '% Normal (0 - 5 years):',
'value': '76.74%'
}]
},
'fills':
OrderedDict([('0%-20%', MapColors.PINK),
('20%-35%', MapColors.ORANGE),
('35%-100%', MapColors.RED),
('defaultFill', MapColors.GREY)]),
'data': {
'st1': {
'total': 2375,
'severely_underweight': 40,
'moderately_underweight': 450,
'fillKey': '20%-35%',
'original_name': ["st1"],
'normal': 1820
},
'st2': {
'total': 2570,
'severely_underweight': 70,
'moderately_underweight': 420,
'original_name': ["st2"],
'fillKey': '0%-20%',
'normal': 1975
}
},
'slug':
'moderately_underweight',
'label':
'Percent of Children Underweight (0 - 5 years)'
})
def test_map_name_two_locations_represent_by_one_topojson(self):
data = get_prevalence_of_undernutrition_data_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': {
'severely_underweight': 8,
'moderately_underweight': 64,
'normal': 245,
'weighed': 317,
'total': 475,
'original_name': ['b1', 'b2'],
'fillKey': '20%-35%'
}
}
)
def test_map_data(self):
data = get_prevalence_of_undernutrition_data_map('icds-cas',
config={
'month':
(2017, 5, 1),
},
loc_level='state')
self.assertDictEqual(
data['data'], {
'st1': {
'weighed': 1585,
'severely_underweight': 40,
'moderately_underweight': 320,
'fillKey': '20%-35%',
'original_name': ["st1"],
'normal': 1225,
'total': 2375
},
'st2': {
'weighed': 1895,
'severely_underweight': 60,
'moderately_underweight': 330,
'original_name': ["st2"],
'fillKey': '20%-35%',
'normal': 1505,
'total': 2570
}
})
def test_map_data_right_legend_extended_info(self):
data = get_prevalence_of_undernutrition_data_map('icds-cas',
config={
'month':
(2017, 5, 1),
},
loc_level='state')
self.assertListEqual(
data['rightLegend']['extended_info'], [{
'indicator':
'Total Children (0 - 5 years) weighed in given month:',
'value': '3,480'
}, {
'indicator': 'Number of children unweighed (0 - 5 years):',
'value': '1,465'
}, {
'indicator': '% Severely Underweight (0 - 5 years):',
'value': '2.87%'
}, {
'indicator': '% Moderately Underweight (0 - 5 years):',
'value': '18.68%'
}, {
'indicator': '% Normal (0 - 5 years):',
'value': '78.45%'
}])
def test_map_name_is_different_data(self):
self.assertDictEqual(
get_prevalence_of_undernutrition_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'state_id': 'st1',
'district_id': 'd1',
'aggregation_level': 3
},
loc_level='block',
), {
'rightLegend': {
'info':
u'Percentage of children between 0 - 5 years enrolled for ICDS services'
u' with weight-for-age less than -2 standard deviations'
u' of the WHO Child Growth Standards median.'
u' <br/><br/>Children who are moderately or severely underweight'
u' have a higher risk of mortality',
'average':
20.63157894736842,
'extended_info': [{
'indicator':
'Total Children (0 - 5 years) weighed in given month:',
'value': '475'
}, {
'indicator': '% Unweighed (0 - 5 years):',
'value': '2.74%'
}, {
'indicator': '% Severely Underweight (0 - 5 years):',
'value': '1.68%'
}, {
'indicator': '% Moderately Underweight (0 - 5 years):',
'value': '18.95%'
}, {
'indicator': '% Normal (0 - 5 years):',
'value': '76.63%'
}]
},
'fills':
OrderedDict([('0%-20%', MapColors.PINK),
('20%-35%', MapColors.ORANGE),
('35%-100%', MapColors.RED),
('defaultFill', MapColors.GREY)]),
'data': {
'block_map': {
'severely_underweight': 8,
'moderately_underweight': 90,
'normal': 364,
'total': 475,
'original_name': ['b1', 'b2'],
'fillKey': '20%-35%'
}
},
'slug':
'moderately_underweight',
'label':
'Percent of Children Underweight (0 - 5 years)'
})
def test_map_data_slug(self):
data = get_prevalence_of_undernutrition_data_map('icds-cas',
config={
'month':
(2017, 5, 1),
},
loc_level='state')
self.assertEquals(data['slug'], 'moderately_underweight')
def test_map_data_right_legend_average(self):
data = get_prevalence_of_undernutrition_data_map('icds-cas',
config={
'month':
(2017, 5, 1),
},
loc_level='state')
self.assertEquals(data['rightLegend']['average'], 21.64670434399008)
def test_map_data_label(self):
data = get_prevalence_of_undernutrition_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
},
loc_level='state'
)
self.assertEquals(data['label'], 'Percent of Children Underweight (0 - 5 years)')
def test_map_data_slug(self):
data = get_prevalence_of_undernutrition_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
},
loc_level='state'
)
self.assertEquals(data['slug'], 'moderately_underweight')
def test_map_data_label(self):
data = get_prevalence_of_undernutrition_data_map('icds-cas',
config={
'month':
(2017, 5, 1),
},
loc_level='state')
self.assertEquals(data['label'],
'Percent of Children Underweight (0 - 5 years)')
def test_map_data_right_legend_keys(self):
data = get_prevalence_of_undernutrition_data_map(
'icds-cas', config={
'month': (2017, 5, 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_right_legend_average(self):
data = get_prevalence_of_undernutrition_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
},
loc_level='state'
)
self.assertEquals(data['rightLegend']['average'], '21.55')
def test_map_data_right_legend_info(self):
data = get_prevalence_of_undernutrition_data_map('icds-cas',
config={
'month':
(2017, 5, 1),
},
loc_level='state')
expected = underweight_children_help_text(age_label="0 - 5 years",
html=True)
self.assertEquals(data['rightLegend']['info'], expected)
def test_map_data_right_legend_info(self):
data = get_prevalence_of_undernutrition_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
},
loc_level='state'
)
expected = underweight_children_help_text(age_label="0 - 5 years", html=True)
self.assertEquals(data['rightLegend']['info'], expected)
def test_map_data_right_legend_average(self):
self.maxDiff = None
data = get_prevalence_of_undernutrition_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertEqual(data['rightLegend']['average'], '21.44')
def test_map_data_right_legend_keys(self):
data = get_prevalence_of_undernutrition_data_map(
'icds-cas',
config={
'month': (2017, 5, 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_prevalence_of_undernutrition_data_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'], '22.71')
def test_average_with_two_locations_represent_by_one_topojson(self):
data = get_prevalence_of_undernutrition_data_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'], 22.743014091234773)
def test_map_data_keys(self):
data = get_prevalence_of_undernutrition_data_map('icds-cas',
config={
'month':
(2017, 5, 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_prevalence_of_undernutrition_data_map('icds-cas',
config={
'month':
(2017, 5, 1),
},
loc_level='state')
expected = (
'Of the total children enrolled for Anganwadi services and weighed, the percentage of children '
'between 0 - 5 years years who were moderately/severely underweight in the current month. '
'<br/><br/>'
'Children who are moderately or severely underweight have a higher risk of mortality.'
)
self.assertEquals(data['rightLegend']['info'], expected)
def test_map_data_right_legend_info(self):
data = get_prevalence_of_undernutrition_data_map('icds-cas',
config={
'month':
(2017, 5, 1),
},
loc_level='state')
expected = (
'Percentage of children between 0 - 5 years enrolled for Anganwadi Services'
' with weight-for-age less than -2 standard deviations'
' of the WHO Child Growth Standards median.'
' <br/><br/>Children who are moderately or severely underweight'
' have a higher risk of mortality')
self.assertEquals(data['rightLegend']['info'], expected)
def test_map_data_keys(self):
data = get_prevalence_of_undernutrition_data_map(
'icds-cas',
config={
'month': (2017, 5, 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_prevalence_of_undernutrition_data_map('icds-cas',
config={
'month':
(2017, 5, 1),
},
loc_level='state')
self.assertDictEqual(
data['fills'], {
"0%-20%": MapColors.PINK,
"20%-35%": MapColors.ORANGE,
"35%-100%": MapColors.RED,
"defaultFill": MapColors.GREY
})
def test_map_data_fills(self):
data = get_prevalence_of_undernutrition_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
},
loc_level='state'
)
self.assertDictEqual(
data['fills'],
{
"0%-20%": MapColors.PINK,
"20%-35%": MapColors.ORANGE,
"35%-100%": MapColors.RED,
"defaultFill": MapColors.GREY
}
)
def test_map_data(self):
self.assertDictEqual(
get_prevalence_of_undernutrition_data_map(
'icds-cas',
config={
'month': (2017, 5, 1)
},
loc_level='state'
)[0],
{
'rightLegend': {
'info': u'Percentage of children between 0-5 years enrolled for ICDS services'
u' with weight-for-age less than -2 standard deviations'
u' of the WHO Child Growth Standards median.'
u' <br/><br/>Children who are moderately or severely underweight'
u' have a higher risk of mortality',
'average': 17.593528816986854
},
'fills': OrderedDict(
[
('0%-20%', '#fee0d2'),
('20%-35%', '#fc9272'),
('35%-100%', '#de2d26'),
('defaultFill', '#9D9D9D')
]
),
'data': {
u'st1': {
'total': 2375,
'severely_underweight': 40,
'moderately_underweight': 450,
'fillKey': '20%-35%',
'normal': 1820
},
u'st2': {
'total': 2570,
'severely_underweight': 70,
'moderately_underweight': 420,
'fillKey': '0%-20%', 'normal': 1975
}
},
'slug': 'moderately_underweight',
'label': 'Percent of Children Underweight (0-5 years)'
}
)
def test_map_data_right_legend_extended_info(self):
data = get_prevalence_of_undernutrition_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
},
loc_level='state'
)
self.assertListEqual(
data['rightLegend']['extended_info'],
[
{'indicator': 'Total Children (0 - 5 years) weighed in given month:', 'value': '3,480'},
{'indicator': 'Number of children unweighed (0 - 5 years):', 'value': '1,480'},
{'indicator': '% Severely Underweight (0 - 5 years):', 'value': '2.87%'},
{'indicator': '% Moderately Underweight (0 - 5 years):', 'value': '18.68%'},
{'indicator': '% Normal (0 - 5 years):', 'value': '78.45%'}
]
)
def test_map_data(self):
self.maxDiff = None
data = get_prevalence_of_undernutrition_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertDictEqual(
data['data'], {
'st1': {
'moderately_underweight': 64,
'severely_underweight': 8,
'normal': 245,
'weighed': 317,
'total': 475,
'original_name': ['st1'],
'fillKey': '20%-35%'
},
'st2': {
'moderately_underweight': 65,
'severely_underweight': 12,
'normal': 301,
'weighed': 378,
'total': 513,
'original_name': ['st2'],
'fillKey': '20%-35%'
},
'st7': {
'moderately_underweight': 0,
'severely_underweight': 0,
'normal': 0,
'weighed': 0,
'total': 1,
'original_name': ['st7'],
'fillKey': '0%-20%'
}
})
def test_map_name_two_locations_represent_by_one_topojson(self):
data = get_prevalence_of_undernutrition_data_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': {
'severely_underweight': 8,
'moderately_underweight': 64,
'normal': 245,
'total': 317,
'original_name': ['b1', 'b2'],
'fillKey': '20%-35%'
}
})
def test_map_data(self):
data = get_prevalence_of_undernutrition_data_map('icds-cas',
config={
'month':
(2017, 5, 1),
},
loc_level='state')
self.assertDictEqual(
data['data'], {
'st1': {
'moderately_underweight': 320,
'severely_underweight': 40,
'normal': 1225,
'weighed': 1585,
'total': 2375,
'original_name': ['st1'],
'fillKey': '20%-35%'
},
'st2': {
'moderately_underweight': 325,
'severely_underweight': 60,
'normal': 1505,
'weighed': 1890,
'total': 2565,
'original_name': ['st2'],
'fillKey': '20%-35%'
},
'st3': {
'moderately_underweight': 0,
'severely_underweight': 0,
'normal': 0,
'weighed': 0,
'total': 1,
'original_name': ['st3'],
'fillKey': '0%-20%'
},
'st4': {
'moderately_underweight': 0,
'severely_underweight': 0,
'normal': 0,
'weighed': 0,
'total': 2,
'original_name': ['st4'],
'fillKey': '0%-20%'
},
'st5': {
'moderately_underweight': 0,
'severely_underweight': 0,
'normal': 0,
'weighed': 0,
'total': 3,
'original_name': ['st5'],
'fillKey': '0%-20%'
},
'st6': {
'moderately_underweight': 0,
'severely_underweight': 0,
'normal': 0,
'weighed': 0,
'total': 4,
'original_name': ['st6'],
'fillKey': '0%-20%'
},
'st7': {
'moderately_underweight': 0,
'severely_underweight': 0,
'normal': 0,
'weighed': 0,
'total': 5,
'original_name': ['st7'],
'fillKey': '0%-20%'
}
})
def test_map_data(self):
data = get_prevalence_of_undernutrition_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
},
loc_level='state'
)
self.assertDictEqual(
data['data'],
{
'st4': {
'severely_underweight': 0,
'normal': 0,
'original_name': ['st4'],
'weighed': 0,
'moderately_underweight': 0,
'total': 2,
'fillKey': '0%-20%'
},
'st5': {
'severely_underweight': 0,
'normal': 0,
'original_name': ['st5'],
'weighed': 0,
'moderately_underweight': 0,
'total': 3,
'fillKey': '0%-20%'
},
'st6': {
'severely_underweight': 0,
'normal': 0,
'original_name': ['st6'],
'weighed': 0,
'moderately_underweight': 0,
'total': 4,
'fillKey': '0%-20%'
},
'st7': {
'severely_underweight': 0,
'normal': 0,
'original_name': ['st7'],
'weighed': 0,
'moderately_underweight': 0,
'total': 5,
'fillKey': '0%-20%'
},
'st1': {
'severely_underweight': 40,
'normal': 1225,
'original_name': ['st1'],
'weighed': 1585,
'moderately_underweight': 320,
'total': 2375,
'fillKey': '20%-35%'
},
'st2': {
'severely_underweight': 60,
'normal': 1505,
'original_name': ['st2'],
'weighed': 1895,
'moderately_underweight': 330,
'total': 2570,
'fillKey': '20%-35%'
},
'st3': {
'severely_underweight': 0,
'normal': 0,
'original_name': ['st3'],
'weighed': 0,
'moderately_underweight': 0,
'total': 1,
'fillKey': '0%-20%'
}
}
)
