def test_map_data(self):
data = get_adhaar_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertDictEqual(
data['data'],
{
"st1": {
"in_month": 64,
"all": 221,
'original_name': ["st1"],
"fillKey": "25%-50%"
},
"st2": {
"in_month": 67,
"all": 279,
'original_name': ["st2"],
"fillKey": "0%-25%"
}
}
)
def test_map_data_label(self):
data = get_adhaar_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertEqual(data['label'], AADHAR_SEEDED_BENEFICIARIES)
def test_map_data_slug(self):
data = get_adhaar_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertEquals(data['slug'], 'adhaar')
def test_map_data_right_legend_average(self):
data = get_adhaar_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertEqual(data['rightLegend']['average'], 21.490683229813666)
def test_map_data_label(self):
data = get_adhaar_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertEquals(data['label'],
'Percent Aadhaar-seeded Beneficiaries')
def test_map_data_right_legend_info(self):
data = get_adhaar_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
expected = percent_aadhaar_seeded_beneficiaries_help_text()
self.assertEqual(data['rightLegend']['info'], expected)
def test_map_data_right_legend_info(self):
data = get_adhaar_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
expected = ("Percentage of individuals registered using CAS "
"whose Aadhaar identification has been captured")
self.assertEqual(data['rightLegend']['info'], expected)
def test_map_data_label(self):
data = get_adhaar_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEquals(data['label'], 'Percent Aadhaar-seeded Beneficiaries')
def test_map_data_slug(self):
data = get_adhaar_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEquals(data['slug'], 'adhaar')
def test_map_data_right_legend_average(self):
data = get_adhaar_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEqual(data['rightLegend']['average'], 21.490683229813666)
def test_map_data_right_legend_info(self):
data = get_adhaar_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
expected = percent_aadhaar_seeded_beneficiaries_help_text()
self.assertEqual(data['rightLegend']['info'], expected)
def test_map_data_right_legend_info(self):
data = get_adhaar_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
expected = (
"Of the total number of ICDS beneficiaries, "
"the percentage whose Adhaar identification has been captured. ")
self.assertEqual(data['rightLegend']['info'], expected)
def test_map_data_right_legend_keys(self):
data = get_adhaar_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_adhaar_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'], 30.264462809917354)
def test_average_with_two_locations_represent_by_one_topojson(self):
data = get_adhaar_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'state_id': 'st1',
'district_id': 'd1',
'aggregation_level': 3
},
loc_level='block',
)
self.assertEqual(data['rightLegend']['average'], 24.774193548387096)
def test_map_data(self):
data = get_adhaar_data_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'],
'all': 0,
'fillKey': '0%-25%'
},
'st5': {
'in_month': 0,
'original_name': ['st5'],
'all': 0,
'fillKey': '0%-25%'
},
'st6': {
'in_month': 0,
'original_name': ['st6'],
'all': 0,
'fillKey': '0%-25%'
},
'st7': {
'in_month': 0,
'original_name': ['st7'],
'all': 2,
'fillKey': '0%-25%'
},
'st1': {
'in_month': 192,
'original_name': ['st1'],
'all': 775,
'fillKey': '0%-25%'
},
'st2': {
'in_month': 154,
'original_name': ['st2'],
'all': 833,
'fillKey': '0%-25%'
},
'st3': {
'in_month': 0,
'original_name': ['st3'],
'all': 0,
'fillKey': '0%-25%'
}
})
def test_map_data_keys(self):
data = get_adhaar_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_keys(self):
data = get_adhaar_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(self):
self.assertDictEqual(
get_adhaar_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
),
{
"rightLegend": {
"info": "Percentage of individuals registered using CAS "
"whose Aadhaar identification has been captured",
"average": 26.2,
'extended_info': [
{
'indicator': 'Total number of ICDS beneficiaries whose Aadhaar has been captured:',
'value': "131"
},
{
'indicator': '% of ICDS beneficiaries whose Aadhaar has been captured:',
'value': '26.20%'
}
]
},
"fills": {
"0%-25%": MapColors.RED,
"25%-50%": MapColors.ORANGE,
"50%-100%": MapColors.PINK,
"defaultFill": MapColors.GREY
},
"data": {
"st1": {
"in_month": 64,
"all": 221,
'original_name': ["st1"],
"fillKey": "25%-50%"
},
"st2": {
"in_month": 67,
"all": 279,
'original_name': ["st2"],
"fillKey": "0%-25%"
}
},
"slug": "adhaar",
"label": "Percent Aadhaar-seeded Beneficiaries"
}
)
def test_map_data_fills(self):
data = get_adhaar_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertDictEqual(
data['fills'], {
"0%-25%": MapColors.RED,
"25%-50%": MapColors.ORANGE,
"50%-100%": MapColors.PINK,
"defaultFill": MapColors.GREY
})
def test_map_data_keys(self):
data = get_adhaar_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_name_is_different_data(self):
self.assertDictEqual(
get_adhaar_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 individuals registered using CAS "
"whose Aadhaar identification has been captured",
"average": 28.959276018099548,
'extended_info': [
{
'indicator': 'Total number of ICDS beneficiaries whose Aadhaar has been captured:',
'value': "64"
},
{
'indicator': '% of ICDS beneficiaries whose Aadhaar has been captured:',
'value': '28.96%'
}
]
},
"fills": {
"0%-25%": MapColors.RED,
"25%-50%": MapColors.ORANGE,
"50%-100%": MapColors.PINK,
"defaultFill": MapColors.GREY
},
"data": {
'block_map': {
'in_month': 64,
'original_name': ['b1', 'b2'],
'all': 221,
'fillKey': '25%-50%'
}
},
"slug": "adhaar",
"label": "Percent Aadhaar-seeded Beneficiaries"
}
)
def test_map_data_right_legend_extended_info(self):
data = get_adhaar_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 ICDS beneficiaries whose Aadhaar has been captured:',
'value':
"346"
}, {
'indicator':
'% of ICDS beneficiaries whose Aadhaar has been captured:',
'value':
'21.49%'
}])
def test_map_data_fills(self):
data = get_adhaar_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertDictEqual(
data['fills'],
{
"0%-25%": MapColors.RED,
"25%-50%": MapColors.ORANGE,
"50%-100%": MapColors.PINK,
"defaultFill": MapColors.GREY
}
)
def test_map_name_two_locations_represent_by_one_topojson(self):
data = get_adhaar_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': {
'in_month': 192,
'original_name': ['b1', 'b2'],
'all': 775,
'fillKey': '0%-25%'
}
})
def test_map_data(self):
data = get_adhaar_data_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'], 'all': 0, 'fillKey': '0%-25%'},
'st5': {'in_month': 0, 'original_name': ['st5'], 'all': 0, 'fillKey': '0%-25%'},
'st6': {'in_month': 0, 'original_name': ['st6'], 'all': 0, 'fillKey': '0%-25%'},
'st7': {'in_month': 0, 'original_name': ['st7'], 'all': 2, 'fillKey': '0%-25%'},
'st1': {'in_month': 192, 'original_name': ['st1'], 'all': 775, 'fillKey': '0%-25%'},
'st2': {'in_month': 154, 'original_name': ['st2'], 'all': 833, 'fillKey': '0%-25%'},
'st3': {'in_month': 0, 'original_name': ['st3'], 'all': 0, 'fillKey': '0%-25%'}
}
)
def test_map_name_two_locations_represent_by_one_topojson(self):
data = get_adhaar_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': {
'in_month': 192,
'original_name': ['b1', 'b2'],
'all': 775,
'fillKey': '0%-25%'
}
}
)
def test_map_data_right_legend_extended_info(self):
data = get_adhaar_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 ICDS beneficiaries whose Aadhaar has been captured:',
'value': "346"
},
{
'indicator': '% of ICDS beneficiaries whose Aadhaar has been captured:',
'value': '21.49%'
}
]
)
def test_map_data(self):
self.assertDictEqual(
get_adhaar_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)[0],
{
"rightLegend": {
"info": "Percentage of individuals registered using CAS "
"whose Adhaar identification has been captured",
"average": 26.2
},
"fills": {
"0%-25%": "#de2d26",
"25%-50%": "#fc9272",
"50%-100%": "#fee0d2",
"defaultFill": "#9D9D9D"
},
"data": {
"st1": {
"in_month": 64,
"all": 221,
"fillKey": "25%-50%"
},
"st2": {
"in_month": 67,
"all": 279,
"fillKey": "0%-25%"
}
},
"slug": "adhaar",
"label": "Percent Adhaar-seeded Beneficiaries"
}
)
