def test_map_name_two_locations_represent_by_one_topojson(self):
data = get_adult_weight_scale_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": 5,
"original_name": [
"b1",
"b2"
],
"all": 17,
"fillKey": "25%-75%"
}
}
)
def test_map_data_slug(self):
data = get_adult_weight_scale_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEquals(data['slug'], 'adult_weight_scale')
def test_map_data_right_legend_average(self):
data = get_adult_weight_scale_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEquals(data['rightLegend']['average'], 30.0)
def test_map_data_label(self):
data = get_adult_weight_scale_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEquals(data['label'],
'Percentage of AWCs that reported having a weighing scale for mother and child')
def test_map_data_right_legend_info(self):
data = get_adult_weight_scale_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
expected = awcs_reported_weighing_scale_mother_and_child_help_text()
self.assertEquals(data['rightLegend']['info'], expected)
def test_average_with_two_locations_represent_by_one_topojson(self):
data = get_adult_weight_scale_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'], 29.41176470588235)
def test_map_data_right_legend_keys(self):
data = get_adult_weight_scale_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_fills(self):
data = get_adult_weight_scale_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertDictEqual(
data['fills'], {
"0%-25%": MapColors.RED,
"25%-75%": MapColors.ORANGE,
"75%-100%": MapColors.PINK,
"defaultFill": MapColors.GREY
})
def test_map_data_keys(self):
data = get_adult_weight_scale_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(self):
self.assertDictEqual(
get_adult_weight_scale_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'),
{
"rightLegend": {
"info":
"Percentage of AWCs that reported having a weighing scale for mother and child",
"average":
30.09049773755656,
'extended_info': [{
'indicator':
'Total number of AWCs with a weighing scale for mother and child:',
'value': "9"
}, {
'indicator':
'% of AWCs with a weighing scale for mother and child:',
'value': '30.00%'
}]
},
"label":
"Percentage of AWCs that reported having a weighing scale for mother and child",
"data": {
"st1": {
"in_month": 5,
"original_name": ["st1"],
"all": 17,
"fillKey": "25%-75%"
},
"st2": {
"in_month": 4,
"original_name": ["st2"],
"all": 13,
"fillKey": "25%-75%"
}
},
"slug": "adult_weight_scale",
"fills": {
"0%-25%": MapColors.RED,
"25%-75%": MapColors.ORANGE,
"75%-100%": MapColors.PINK,
"defaultFill": MapColors.GREY
}
})
def test_map_name_is_different_data(self):
self.assertDictEqual(
get_adult_weight_scale_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 AWCs that reported having a weighing scale for mother and child",
"average": 29.41176470588235,
'extended_info': [
{
'indicator': 'Total number of AWCs with a weighing scale for mother and child:',
'value': "5"
},
{'indicator': '% of AWCs with a weighing scale for mother and child:', 'value': '29.41%'}
]
},
"label": "Percentage of AWCs that reported having a weighing scale for mother and child",
"data": {
"block_map": {
"in_month": 5,
"original_name": [
"b1",
"b2"
],
"all": 17,
"fillKey": "25%-75%"
}
},
"slug": "adult_weight_scale",
"fills": {
"0%-25%": MapColors.RED,
"25%-75%": MapColors.ORANGE,
"75%-100%": MapColors.PINK,
"defaultFill": MapColors.GREY
}
}
)
def test_map_data_right_legend_extended_info(self):
data = get_adult_weight_scale_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 AWCs with a weighing scale for mother and child:',
'value':
"9"
}, {
'indicator':
'% of AWCs with a weighing scale for mother and child:',
'value':
'30.00%'
}])
def test_map_data_fills(self):
data = get_adult_weight_scale_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertDictEqual(
data['fills'],
{
"0%-25%": MapColors.RED,
"25%-75%": MapColors.ORANGE,
"75%-100%": MapColors.PINK,
"defaultFill": MapColors.GREY
}
)
def test_map_data_right_legend_extended_info(self):
data = get_adult_weight_scale_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 AWCs with a weighing scale for mother and child:',
'value': "9"
},
{'indicator': '% of AWCs with a weighing scale for mother and child:', 'value': '30.00%'}
]
)
def test_map_name_two_locations_represent_by_one_topojson(self):
data = get_adult_weight_scale_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": 5,
"original_name": ["b1", "b2"],
"all": 17,
"fillKey": "25%-75%"
}
})
def test_map_data(self):
data = get_adult_weight_scale_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': 0, 'fillKey': '0%-25%'},
'st1': {'in_month': 5, 'original_name': ['st1'], 'all': 17, 'fillKey': '25%-75%'},
'st2': {'in_month': 4, 'original_name': ['st2'], 'all': 13, 'fillKey': '25%-75%'},
'st3': {'in_month': 0, 'original_name': ['st3'], 'all': 0, 'fillKey': '0%-25%'}
},
)
def test_map_data(self):
data = get_adult_weight_scale_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertDictEqual(
data['data'], {
"st1": {
"in_month": 5,
"original_name": ["st1"],
"all": 17,
"fillKey": "25%-75%"
},
"st2": {
"in_month": 4,
"original_name": ["st2"],
"all": 13,
"fillKey": "25%-75%"
}
})
