def test_chart_data_all_locations(self):
data = get_prevalence_of_stunting_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertListEqual(data['all_locations'],
[{
'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
}, {
'loc_name': 'st2',
'percent': 56.0
}, {
'loc_name': 'st1',
'percent': 71.42857142857143
}])
def test_chart_data_location_type(self):
data = get_prevalence_of_stunting_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertEqual(data['location_type'], 'State')
def test_chart_data_elements_length(self):
data = get_prevalence_of_stunting_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertEqual(len(data['chart_data']), 3)
def test_chart_data_elements_length(self):
data = get_prevalence_of_stunting_data_chart(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEqual(len(data['chart_data']), 3)
def test_chart_data_location_type(self):
data = get_prevalence_of_stunting_data_chart(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEqual(data['location_type'], 'State')
def test_chart_data_all_locations(self):
data = get_prevalence_of_stunting_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertListEqual(data['all_locations'], [
{
"loc_name": "st2",
"percent": 56.0
},
{
"loc_name": "st1",
"percent": 71.42857142857143
},
])
def test_chart_data_top_five(self):
data = get_prevalence_of_stunting_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertListEqual(data['top_five'], [
{
"loc_name": "st1",
"percent": 0.0
},
{
"loc_name": "st2",
"percent": 0.0
},
])
def test_chart_data_red_icds_feature_flag_enabled(self):
data = get_prevalence_of_stunting_data_chart(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state',
show_test=False,
icds_feature_flag=True
)
self.assertDictEqual(
data['chart_data'][2],
{
"color": ChartColors.RED,
"classed": "dashed",
"strokeWidth": 2,
"values": [
{
"y": 0.0,
"x": 1485907200000,
"all": 0,
"measured": 0
},
{
"y": 0.0,
"x": 1488326400000,
"all": 0,
"measured": 0
},
{
"y": 0.0,
"x": 1491004800000,
"all": 981,
"measured": 1
},
{
"y": 0.0,
"x": 1493596800000,
"all": 951,
"measured": 0
}
],
"key": "% severely stunted"
}
)
def test_chart_data_pink(self):
data = get_prevalence_of_stunting_data_chart(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertDictEqual(
data['chart_data'][0],
{
"color": ChartColors.PINK,
"classed": "dashed",
"strokeWidth": 2,
"values": [
{
"y": 0.0,
"x": 1485907200000,
"all": 0,
"measured": 0
},
{
"y": 0.0,
"x": 1488326400000,
"all": 0,
"measured": 0
},
{
"y": 0.3076923076923077,
"x": 1491004800000,
"all": 981,
"measured": 13
},
{
"y": 0.40625,
"x": 1493596800000,
"all": 952,
"measured": 32
}
],
"key": "% normal"
}
)
def test_chart_data_red(self):
data = get_prevalence_of_stunting_data_chart(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertDictEqual(
data['chart_data'][2],
{
"color": ChartColors.RED,
"classed": "dashed",
"strokeWidth": 2,
"values": [
{
"y": 0.0,
"x": 1485907200000,
"all": 0,
"measured": 0
},
{
"y": 0.0,
"x": 1488326400000,
"all": 0,
"measured": 0
},
{
"y": 0.38461538461538464,
"x": 1491004800000,
"all": 981,
"measured": 13
},
{
"y": 0.34375,
"x": 1493596800000,
"all": 952,
"measured": 32
}
],
"key": "% severely stunted"
}
)
def test_chart_data_orange(self):
data = get_prevalence_of_stunting_data_chart(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertDictEqual(
data['chart_data'][1],
{
"color": ChartColors.ORANGE,
"classed": "dashed",
"strokeWidth": 2,
"values": [
{
"y": 0.0,
"x": 1485907200000,
"all": 0,
"measured": 0
},
{
"y": 0.0,
"x": 1488326400000,
"all": 0,
"measured": 0
},
{
"y": 0.0,
"x": 1491004800000,
"all": 964,
"measured": 0
},
{
"y": 0.0,
"x": 1493596800000,
"all": 939,
"measured": 0
}
],
"key": "% moderately stunted"
}
)
def test_chart_data_pink(self):
data = get_prevalence_of_stunting_data_chart(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertDictEqual(
data['chart_data'][0],
{
"color": ChartColors.PINK,
"classed": "dashed",
"strokeWidth": 2,
"values": [
{
"y": 0.0,
"x": 1485907200000,
"all": 0,
"measured": 0
},
{
"y": 0.0,
"x": 1488326400000,
"all": 0,
"measured": 0
},
{
"y": 0.3076923076923077,
"x": 1491004800000,
"all": 980,
"measured": 13
},
{
"y": 0.40625,
"x": 1493596800000,
"all": 951,
"measured": 32
}
],
"key": "% normal"
}
)
def test_chart_data_all_locations_icds_feature_flag_enabled(self):
data = get_prevalence_of_stunting_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state',
show_test=False,
icds_feature_flag=True)
self.assertListEqual(data['all_locations'], [
{
"loc_name": "st1",
"percent": 0.0
},
{
"loc_name": "st2",
"percent": 0.0
},
])
def test_chart_data_top_five(self):
data = get_prevalence_of_stunting_data_chart(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertListEqual(
data['top_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(self):
data = get_prevalence_of_stunting_data_chart(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertListEqual(
data['top_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_all_locations(self):
data = get_prevalence_of_stunting_data_chart(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertListEqual(
data['all_locations'],
[
{'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},
{'loc_name': 'st2', 'percent': 56.0},
{'loc_name': 'st1', 'percent': 71.42857142857143}
]
)
def test_chart_data_red(self):
data = get_prevalence_of_stunting_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertDictEqual(
data['chart_data'][2], {
"color":
ChartColors.RED,
"classed":
"dashed",
"strokeWidth":
2,
"values": [{
"y": 0.0,
"x": 1485907200000,
"all": 0,
"measured": 0
}, {
"y": 0.0,
"x": 1488326400000,
"all": 0,
"measured": 0
}, {
"y": 0.4166666666666667,
"x": 1491004800000,
"all": 1021,
"measured": 12
}, {
"y": 0.34375,
"x": 1493596800000,
"all": 989,
"measured": 32
}],
"key":
"% severely stunted"
})
def test_chart_data(self):
self.assertDictEqual(
get_prevalence_of_stunting_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'),
{
"location_type":
"State",
"bottom_five": [{
"loc_name": "st1",
"percent": 1.78173719376392
}, {
"loc_name": "st2",
"percent": 3.673469387755102
}],
"top_five": [{
"loc_name": "st1",
"percent": 1.78173719376392
}, {
"loc_name": "st2",
"percent": 3.673469387755102
}],
"chart_data": [{
"color":
ChartColors.PINK,
"classed":
"dashed",
"strokeWidth":
2,
"values": [{
"y": 0.0,
"x": 1485907200000,
"all": 0
}, {
"y": 0.0,
"x": 1488326400000,
"all": 0
}, {
"y": 0.0031120331950207467,
"x": 1491004800000,
"all": 964
}, {
"y": 0.01597444089456869,
"x": 1493596800000,
"all": 939
}],
"key":
"% normal"
}, {
"color":
ChartColors.ORANGE,
"classed":
"dashed",
"strokeWidth":
2,
"values": [{
"y": 0.0,
"x": 1485907200000,
"all": 0
}, {
"y": 0.0,
"x": 1488326400000,
"all": 0
}, {
"y": 0.004149377593360996,
"x": 1491004800000,
"all": 964
}, {
"y": 0.010649627263045794,
"x": 1493596800000,
"all": 939
}],
"key":
"% moderately stunted"
}, {
"color":
ChartColors.RED,
"classed":
"dashed",
"strokeWidth":
2,
"values": [{
"y": 0.0,
"x": 1485907200000,
"all": 0
}, {
"y": 0.0,
"x": 1488326400000,
"all": 0
}, {
"y": 0.008298755186721992,
"x": 1491004800000,
"all": 964
}, {
"y": 0.01703940362087327,
"x": 1493596800000,
"all": 939
}],
"key":
"% severely stunted"
}],
"all_locations": [{
"loc_name": "st1",
"percent": 1.78173719376392
}, {
"loc_name": "st2",
"percent": 3.673469387755102
}]
})
def test_chart_data(self):
self.assertDictEqual(
get_prevalence_of_stunting_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'),
{
"location_type":
"State",
"bottom_five": [
{
"loc_name": "st2",
"percent": 56.0
},
{
"loc_name": "st1",
"percent": 71.42857142857143
},
],
"top_five": [
{
"loc_name": "st2",
"percent": 56.0
},
{
"loc_name": "st1",
"percent": 71.42857142857143
},
],
"chart_data": [{
"color":
ChartColors.PINK,
"classed":
"dashed",
"strokeWidth":
2,
"values": [{
"y": 0.0,
"x": 1485907200000,
"all": 0
}, {
"y": 0.0,
"x": 1488326400000,
"all": 0
}, {
"y": 0.18181818181818182,
"x": 1491004800000,
"all": 11
}, {
"y": 0.40625,
"x": 1493596800000,
"all": 32
}],
"key":
"% normal"
}, {
"color":
ChartColors.ORANGE,
"classed":
"dashed",
"strokeWidth":
2,
"values": [{
"y": 0.0,
"x": 1485907200000,
"all": 0
}, {
"y": 0.0,
"x": 1488326400000,
"all": 0
}, {
"y": 0.36363636363636365,
"x": 1491004800000,
"all": 11
}, {
"y": 0.25,
"x": 1493596800000,
"all": 32
}],
"key":
"% moderately stunted"
}, {
"color":
ChartColors.RED,
"classed":
"dashed",
"strokeWidth":
2,
"values": [{
"y": 0.0,
"x": 1485907200000,
"all": 0
}, {
"y": 0.0,
"x": 1488326400000,
"all": 0
}, {
"y": 0.45454545454545453,
"x": 1491004800000,
"all": 11
}, {
"y": 0.34375,
"x": 1493596800000,
"all": 32
}],
"key":
"% severely stunted"
}],
"all_locations": [
{
"loc_name": "st2",
"percent": 56.0
},
{
"loc_name": "st1",
"percent": 71.42857142857143
},
]
})
