def test_map_data_right_legend_extended_info(self):
data = get_institutional_deliveries_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertListEqual(data['rightLegend']['extended_info'], [{
'indicator':
'Total number of pregnant women who delivered in the last month:',
'value':
"26"
}, {
'indicator':
('Total number of pregnant women who delivered in a public/private '
'medical facilitiy in the last month:'),
'value':
"20"
}, {
'indicator':
('% pregnant women who delivered in a '
'public or private medical facility in the last month:'),
'value':
'76.92%'
}])
def test_map_data_right_legend_extended_info(self):
data = get_institutional_deliveries_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertListEqual(
data['rightLegend']['extended_info'],
[
{
'indicator': 'Total number of pregnant women who delivered in the last month:',
'value': "26"
},
{
'indicator': (
'Total number of pregnant women who delivered in a public/private '
'medical facilitiy in the last month:'
),
'value': "20"
},
{
'indicator': (
'% pregnant women who delivered in a '
'public or private medical facility in the last month:'
),
'value': '76.92%'
}
]
)
def test_map_data_right_legend_average(self):
data = get_institutional_deliveries_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertEquals(data['rightLegend']['average'], 76.92307692307692)
def test_map_data_slug(self):
data = get_institutional_deliveries_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertEqual(data['slug'], 'institutional_deliveries')
def test_map_data_label(self):
data = get_institutional_deliveries_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertEquals(data['label'], 'Percent Instituitional Deliveries')
def test_map_data(self):
self.assertDictEqual(
get_institutional_deliveries_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'),
{
"rightLegend": {
"info":
"Percentage of pregnant women who delivered in a public or "
"private medical facility in the last month. <br/><br/>Delivery in medical"
" instituitions is associated with a decrease in maternal mortality rate",
"average":
76.92307692307692,
'extended_info': [{
'indicator':
'Total number of pregnant women who delivered in the last month:',
'value': "26"
}, {
'indicator':
('Total number of pregnant women who delivered in a public/private '
'medical facilitiy in the last month:'),
'value':
"20"
}, {
'indicator':
('% pregnant women who delivered in a '
'public or private medical facility in the last month:'
),
'value':
'76.92%'
}]
},
"fills": {
"0%-20%": MapColors.RED,
"20%-60%": MapColors.ORANGE,
"60%-100%": MapColors.PINK,
"defaultFill": MapColors.GREY
},
"data": {
"st1": {
"all": 13,
"children": 9,
'original_name': ["st1"],
"fillKey": "60%-100%"
},
"st2": {
"all": 13,
"children": 11,
'original_name': ["st2"],
"fillKey": "60%-100%"
}
},
"slug": "institutional_deliveries",
"label": "Percent Instituitional Deliveries"
})
def test_map_data_right_legend_average(self):
data = get_institutional_deliveries_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEquals(data['rightLegend']['average'], 76.92307692307692)
def test_map_data_label(self):
data = get_institutional_deliveries_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEquals(data['label'], 'Percent Instituitional Deliveries')
def test_map_name_is_different_data(self):
self.assertDictEqual(
get_institutional_deliveries_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'state_id': 'st1',
'district_id': 'd1',
'aggregation_level': 3
},
loc_level='block',
), {
"rightLegend": {
"info":
"Percentage of pregnant women who delivered in a public or "
"private medical facility in the last month. <br/><br/>Delivery in medical"
" instituitions is associated with a decrease in maternal mortality rate",
"average":
69.23076923076923,
'extended_info': [{
'indicator':
'Total number of pregnant women who delivered in the last month:',
'value': "13"
}, {
'indicator':
('Total number of pregnant women who delivered in a public/private '
'medical facilitiy in the last month:'),
'value':
"9"
}, {
'indicator':
('% pregnant women who delivered in a '
'public or private medical facility in the last month:'
),
'value':
'69.23%'
}]
},
"fills": {
"0%-20%": MapColors.RED,
"20%-60%": MapColors.ORANGE,
"60%-100%": MapColors.PINK,
"defaultFill": MapColors.GREY
},
"data": {
'block_map': {
'all': 13,
'original_name': ['b1', 'b2'],
'children': 9,
'fillKey': '60%-100%'
}
},
"slug": "institutional_deliveries",
"label": "Percent Instituitional Deliveries"
})
def test_map_data_right_legend_keys(self):
data = get_institutional_deliveries_data_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_institutional_deliveries_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'], 61.36363636363637)
def test_average_with_two_locations_represent_by_one_topojson(self):
data = get_institutional_deliveries_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'], 69.23076923076923)
def test_map_data(self):
data = get_institutional_deliveries_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertDictEqual(
data['data'], {
'st4': {
'all': 0,
'original_name': ['st4'],
'children': 0,
'fillKey': '0%-20%'
},
'st5': {
'all': 0,
'original_name': ['st5'],
'children': 0,
'fillKey': '0%-20%'
},
'st6': {
'all': 0,
'original_name': ['st6'],
'children': 0,
'fillKey': '0%-20%'
},
'st7': {
'all': 0,
'original_name': ['st7'],
'children': 0,
'fillKey': '0%-20%'
},
'st1': {
'all': 11,
'original_name': ['st1'],
'children': 9,
'fillKey': '60%-100%'
},
'st2': {
'all': 13,
'original_name': ['st2'],
'children': 11,
'fillKey': '60%-100%'
},
'st3': {
'all': 0,
'original_name': ['st3'],
'children': 0,
'fillKey': '0%-20%'
}
})
def test_map_data_keys(self):
data = get_institutional_deliveries_data_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_institutional_deliveries_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
expected = (
"Percentage of pregnant women who delivered in a public or "
"private medical facility in the last month. <br/><br/>Delivery in medical"
" instituitions is associated with a decrease in maternal mortality rate"
)
self.assertEquals(data['rightLegend']['info'], expected)
def test_map_data_right_legend_keys(self):
data = get_institutional_deliveries_data_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_right_legend_info(self):
data = get_institutional_deliveries_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
expected = (
"Of the total number of women enrolled for Anganwadi services who gave birth in the last month, "
"the percentage who delivered in a public or private medical facility. "
"<br/><br/>"
"Delivery in medical instituitions is associated with a decrease in maternal mortality rate"
)
self.assertEquals(data['rightLegend']['info'], expected)
def test_map_data_fills(self):
data = get_institutional_deliveries_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertDictEqual(
data['fills'], {
"0%-20%": MapColors.RED,
"20%-60%": MapColors.ORANGE,
"60%-100%": MapColors.PINK,
"defaultFill": MapColors.GREY
})
def test_map_data_keys(self):
data = get_institutional_deliveries_data_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_institutional_deliveries_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
expected = (
"Of the total number of women enrolled for Anganwadi services who gave birth in the last month, "
"the percentage who delivered in a public or private medical facility. "
"<br/><br/>"
"Delivery in medical instituitions is associated with a decrease in maternal mortality rate"
)
self.assertEquals(data['rightLegend']['info'], expected)
def test_map_data_fills(self):
data = get_institutional_deliveries_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertDictEqual(
data['fills'],
{
"0%-20%": MapColors.RED,
"20%-60%": MapColors.ORANGE,
"60%-100%": MapColors.PINK,
"defaultFill": MapColors.GREY
}
)
def test_map_name_two_locations_represent_by_one_topojson(self):
data = get_institutional_deliveries_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': {
'all': 13,
'original_name': ['b1', 'b2'],
'children': 9,
'fillKey': '60%-100%'
}
})
def test_map_data(self):
data = get_institutional_deliveries_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertDictEqual(
data['data'],
{
'st4': {'all': 0, 'original_name': ['st4'], 'children': 0, 'fillKey': '0%-20%'},
'st5': {'all': 0, 'original_name': ['st5'], 'children': 0, 'fillKey': '0%-20%'},
'st6': {'all': 0, 'original_name': ['st6'], 'children': 0, 'fillKey': '0%-20%'},
'st7': {'all': 0, 'original_name': ['st7'], 'children': 0, 'fillKey': '0%-20%'},
'st1': {'all': 13, 'original_name': ['st1'], 'children': 9, 'fillKey': '60%-100%'},
'st2': {'all': 13, 'original_name': ['st2'], 'children': 11, 'fillKey': '60%-100%'},
'st3': {'all': 0, 'original_name': ['st3'], 'children': 0, 'fillKey': '0%-20%'}
}
)
def test_map_name_two_locations_represent_by_one_topojson(self):
data = get_institutional_deliveries_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': {
'all': 13,
'original_name': ['b1', 'b2'],
'children': 9,
'fillKey': '60%-100%'
}
}
)
def test_map_data(self):
data = get_institutional_deliveries_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertDictEqual(
data['data'], {
"st1": {
"all": 13,
"children": 9,
'original_name': ["st1"],
"fillKey": "60%-100%"
},
"st2": {
"all": 13,
"children": 11,
'original_name': ["st2"],
"fillKey": "60%-100%"
}
})
def test_map_data(self):
self.assertDictEqual(
get_institutional_deliveries_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')[0],
{
"rightLegend": {
"info":
"Percentage of pregnant women who delivered in a public or "
"private medical facility in the last month. <br/><br/>Delivery in medical"
" instituitions is associated with a decrease in maternal mortality rate",
"average":
76.92307692307692
},
"fills": {
"0%-20%": "#de2d26",
"20%-60%": "#fc9272",
"60%-100%": "#fee0d2",
"defaultFill": "#9D9D9D"
},
"data": {
"st1": {
"all": 13,
"children": 9,
"fillKey": "60%-100%"
},
"st2": {
"all": 13,
"children": 11,
"fillKey": "60%-100%"
}
},
"slug": "institutional_deliveries",
"label": "Percent Instituitional Deliveries"
})
