def test_chart_data(self):
self.assertDictEqual(
get_infants_weight_scale_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'),
{
"location_type":
"State",
"bottom_five": [{
"loc_name": "st1",
"percent": 50.0
}, {
"loc_name": "st2",
"percent": 45.833333333333336
}],
"top_five": [{
"loc_name": "st1",
"percent": 50.0
}, {
"loc_name": "st2",
"percent": 45.833333333333336
}],
"chart_data": [{
"color":
"#006fdf",
"classed":
"dashed",
"strokeWidth":
2,
"values": [{
"y": 0.0,
"x": 1485907200000,
"in_month": 0
}, {
"y": 0.0,
"x": 1488326400000,
"in_month": 0
}, {
"y": 0.2,
"x": 1491004800000,
"in_month": 10
}, {
"y": 0.48,
"x": 1493596800000,
"in_month": 24
}],
"key":
"% of AWCs with a weighing scale for infants."
}],
"all_locations": [{
"loc_name": "st1",
"percent": 50.0
}, {
"loc_name": "st2",
"percent": 45.833333333333336
}]
})
def test_chart_data(self):
self.assertDictEqual(
get_infants_weight_scale_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'),
{
"location_type":
"State",
"bottom_five": [{
"loc_name": "st1",
"percent": 1300.0
}, {
"loc_name": "st2",
"percent": 1100.0
}],
"top_five": [{
"loc_name": "st1",
"percent": 1300.0
}, {
"loc_name": "st2",
"percent": 1100.0
}],
"chart_data": [{
"color":
ChartColors.BLUE,
"classed":
"dashed",
"strokeWidth":
2,
"values": [{
"y": 0.0,
"x": 1485907200000,
"in_month": 0
}, {
"y": 0.0,
"x": 1488326400000,
"in_month": 0
}, {
"y": 5.0,
"x": 1491004800000,
"in_month": 10
}, {
"y": 12.0,
"x": 1493596800000,
"in_month": 24
}],
"key":
"Percentage of AWCs that reported having a weighing scale for infants"
}],
"all_locations": [{
"loc_name": "st1",
"percent": 1300.0
}, {
"loc_name": "st2",
"percent": 1100.0
}]
})
def test_chart_data(self):
data = get_infants_weight_scale_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertListEqual(data['chart_data'], [{
"color":
ChartColors.BLUE,
"classed":
"dashed",
"strokeWidth":
2,
"values": [{
"y": 0.0,
"x": 1485907200000,
"in_month": 0
}, {
"y": 0.0,
"x": 1488326400000,
"in_month": 0
}, {
"y": 0.7142857142857143,
"x": 1491004800000,
"in_month": 10
}, {
"y": 0.8,
"x": 1493596800000,
"in_month": 24
}],
"key":
"Percentage of AWCs that reported having a weighing scale for infants"
}])
def test_chart_data_bottom_five_locations(self):
data = get_infants_weight_scale_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertListEqual(data['bottom_five'], [
{
'loc_name': 'st3',
'percent': 0.0
},
{
'loc_name': 'st4',
'percent': 0.0
},
{
'loc_name': 'st5',
'percent': 0.0
},
{
'loc_name': 'st6',
'percent': 0.0
},
{
'loc_name': 'st7',
'percent': 0.0
},
])
def test_chart_data_top_five_locations(self):
data = get_infants_weight_scale_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertListEqual(data['top_five'], [
{
"loc_name": "st2",
"percent": 84.61538461538461
},
{
"loc_name": "st1",
"percent": 76.47058823529412
},
{
'loc_name': 'st3',
'percent': 0.0
},
{
'loc_name': 'st4',
'percent': 0.0
},
{
'loc_name': 'st5',
'percent': 0.0
},
])
def test_chart_data_location_type(self):
data = get_infants_weight_scale_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertEquals(data['location_type'], "State")
def test_chart_data_location_type(self):
data = get_infants_weight_scale_data_chart(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEquals(data['location_type'], "State")
def test_chart_data_keys(self):
data = get_infants_weight_scale_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertEquals(len(data), 5)
self.assertIn('top_five', data)
self.assertIn('bottom_five', data)
self.assertIn('all_locations', data)
self.assertIn('chart_data', data)
self.assertIn('location_type', data)
def test_chart_data_keys(self):
data = get_infants_weight_scale_data_chart(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEquals(len(data), 5)
self.assertIn('top_five', data)
self.assertIn('bottom_five', data)
self.assertIn('all_locations', data)
self.assertIn('chart_data', data)
self.assertIn('location_type', data)
def test_chart_data_bottom_five_locations(self):
data = get_infants_weight_scale_data_chart(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertListEqual(
data['bottom_five'],
[
{'loc_name': 'st4', 'percent': 0.0},
{'loc_name': 'st5', 'percent': 0.0},
{'loc_name': 'st6', 'percent': 0.0},
{'loc_name': 'st7', 'percent': 0.0},
{'loc_name': 'st3', 'percent': 0.0}
]
)
def test_chart_data_top_five_locations(self):
data = get_infants_weight_scale_data_chart(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertListEqual(
data['top_five'],
[
{"loc_name": "st2", "percent": 84.61538461538461},
{"loc_name": "st1", "percent": 76.47058823529412},
{'loc_name': 'st4', 'percent': 0.0},
{'loc_name': 'st5', 'percent': 0.0},
{'loc_name': 'st6', 'percent': 0.0}
]
)
def test_chart_data(self):
data = get_infants_weight_scale_data_chart(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertListEqual(
data['chart_data'],
[
{
"color": ChartColors.BLUE,
"classed": "dashed",
"strokeWidth": 2,
"values": [
{
"y": 0.0,
"x": 1485907200000,
"in_month": 0
},
{
"y": 0.0,
"x": 1488326400000,
"in_month": 0
},
{
"y": 0.7142857142857143,
"x": 1491004800000,
"in_month": 10
},
{
"y": 0.8,
"x": 1493596800000,
"in_month": 24
}
],
"key": "Percentage of AWCs that reported having a weighing scale for infants"
}
]
)