def test_chart_data_location_type(self):
data = get_prevalence_of_severe_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_severe_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_pink_icds_feature_flag_enabled(self):
data = get_prevalence_of_severe_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'][0],
{
"color": ChartColors.PINK,
"classed": "dashed",
"strokeWidth": 2,
"values": [
{
"y": 0.0,
"x": 1485907200000,
"total_weighed": 0,
'total_measured': 0,
'total_height_eligible': 0
},
{
"y": 0.0,
"x": 1488326400000,
"total_weighed": 0,
'total_measured': 0,
'total_height_eligible': 0
},
{
"y": 0.6666666666666666,
"x": 1491004800000,
"total_weighed": 691,
'total_measured': 9,
'total_height_eligible': 981,
},
{
"y": 0.7037037037037037,
"x": 1493596800000,
"total_weighed": 696,
'total_measured': 27,
'total_height_eligible': 952,
}
],
"key": "% normal"
}
)
def test_chart_data_orange_icds_feature_flag_enabled(self):
data = get_prevalence_of_severe_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'][1],
{
"color": ChartColors.ORANGE,
"classed": "dashed",
"strokeWidth": 2,
"values": [
{
"y": 0.0,
"x": 1485907200000,
"total_weighed": 0,
'total_measured': 0,
'total_height_eligible': 0,
},
{
"y": 0.0,
"x": 1488326400000,
"total_weighed": 0,
'total_measured': 0,
'total_height_eligible': 0,
},
{
"y": 0.1111111111111111,
"x": 1491004800000,
"total_weighed": 691,
'total_measured': 9,
'total_height_eligible': 981,
},
{
"y": 0.2962962962962963,
"x": 1493596800000,
"total_weighed": 696,
'total_measured': 27,
'total_height_eligible': 952,
}
],
"key": "% moderately wasted (moderate acute malnutrition)"
}
)
def test_chart_data_red(self):
data = get_prevalence_of_severe_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,
"total_weighed": 0,
'total_measured': 0,
'total_height_eligible': 0
},
{
"y": 0.0,
"x": 1488326400000,
"total_weighed": 0,
'total_measured': 0,
'total_height_eligible': 0
},
{
"y": 0.2222222222222222,
"x": 1491004800000,
"total_weighed": 691,
'total_measured': 9,
'total_height_eligible': 981,
},
{
"y": 0.0,
"x": 1493596800000,
"total_weighed": 696,
'total_measured': 27,
'total_height_eligible': 952,
}
],
"key": "% severely wasted (severe acute malnutrition)"
}
)
def test_chart_data_bottom_five(self):
data = get_prevalence_of_severe_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertListEqual(data['bottom_five'],
[{
'loc_name': 'st7',
'percent': 0.0
}, {
'loc_name': 'st2',
'percent': 20.0
}, {
'loc_name': 'st1',
'percent': 57.142857142857146
}])
def test_chart_data_all_locations_icds_feature_flag_enabled(self):
data = get_prevalence_of_severe_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": 4.166666666666667,
},
])
def test_chart_data_orange(self):
data = get_prevalence_of_severe_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,
"total_weighed": 0,
'total_measured': 0,
'total_height_eligible': 0,
}, {
"y": 0.0,
"x": 1488326400000,
"total_weighed": 0,
'total_measured': 0,
'total_height_eligible': 0,
}, {
"y": 0.08333333333333333,
"x": 1491004800000,
"total_weighed": 690,
'total_measured': 12,
'total_height_eligible': 1021,
}, {
"y": 0.25806451612903225,
"x": 1493596800000,
"total_weighed": 695,
'total_measured': 31,
'total_height_eligible': 989,
}],
"key":
"% moderately wasted (moderate acute malnutrition)"
})
def test_chart_data_red(self):
data = get_prevalence_of_severe_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,
"total_weighed": 0,
'total_measured': 0,
'total_height_eligible': 0
}, {
"y": 0.0,
"x": 1488326400000,
"total_weighed": 0,
'total_measured': 0,
'total_height_eligible': 0
}, {
"y": 0.2222222222222222,
"x": 1491004800000,
"total_weighed": 691,
'total_measured': 9,
'total_height_eligible': 981,
}, {
"y": 0.0,
"x": 1493596800000,
"total_weighed": 696,
'total_measured': 27,
'total_height_eligible': 952,
}],
"key":
"% severely wasted (severe acute malnutrition)"
})
def test_chart_data_top_five(self):
data = get_prevalence_of_severe_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_severe_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_pink(self):
data = get_prevalence_of_severe_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,
"total_weighed": 0,
'total_measured': 0,
'total_height_eligible': 0
}, {
"y": 0.0,
"x": 1488326400000,
"total_weighed": 0,
'total_measured': 0,
'total_height_eligible': 0
}, {
"y": 0.5,
"x": 1491004800000,
"total_weighed": 690,
'total_measured': 12,
'total_height_eligible': 1021,
}, {
"y": 0.6129032258064516,
"x": 1493596800000,
"total_weighed": 695,
'total_measured': 31,
'total_height_eligible': 989,
}],
"key":
"% normal"
})
def test_chart_data_all_locations(self):
data = get_prevalence_of_severe_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': 20.0},
{'loc_name': 'st1', 'percent': 57.142857142857146}
]
)
def test_chart_data_top_five_icds_feature_flag_enabled(self):
data = get_prevalence_of_severe_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['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_icds_feature_flag_enabled(self):
data = get_prevalence_of_severe_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['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_severe_data_chart(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertListEqual(
data['all_locations'],
[
{
"loc_name": "st2",
"percent": 16.666666666666668,
},
{
"loc_name": "st1",
"percent": 57.142857142857146
},
]
)
def test_chart_data(self):
self.assertDictEqual(
get_prevalence_of_severe_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'),
{
"location_type":
"State",
"bottom_five": [
{
"loc_name": "st2",
"percent": 16.666666666666668
},
{
"loc_name": "st1",
"percent": 57.142857142857146
},
],
"top_five": [
{
"loc_name": "st2",
"percent": 16.666666666666668,
},
{
"loc_name": "st1",
"percent": 57.142857142857146
},
],
"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": 0.5454545454545454,
"x": 1491004800000,
"all": 11
}, {
"y": 0.6129032258064516,
"x": 1493596800000,
"all": 31
}],
"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": 0.09090909090909091,
"x": 1491004800000,
"all": 11
}, {
"y": 0.25806451612903225,
"x": 1493596800000,
"all": 31
}],
"key":
"% moderately wasted (moderate acute malnutrition)"
}, {
"color":
ChartColors.RED,
"classed":
"dashed",
"strokeWidth":
2,
"values": [{
"y": 0.0,
"x": 1485907200000,
"all": 0
}, {
"y": 0.0,
"x": 1488326400000,
"all": 0
}, {
"y": 0.09090909090909091,
"x": 1491004800000,
"all": 11
}, {
"y": 0.0,
"x": 1493596800000,
"all": 31
}],
"key":
"% severely wasted (severe acute malnutrition)"
}],
"all_locations": [
{
"loc_name": "st2",
"percent": 16.666666666666668,
},
{
"loc_name": "st1",
"percent": 57.142857142857146
},
]
})
def test_chart_data(self):
self.assertDictEqual(
get_prevalence_of_severe_data_chart('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'),
{
"location_type":
"State",
"bottom_five": [{
"loc_name": "st1",
"percent": 0.8810572687224669
}, {
"loc_name": "st2",
"percent": 1.2072434607645874
}],
"top_five": [{
"loc_name": "st1",
"percent": 0.8810572687224669
}, {
"loc_name": "st2",
"percent": 1.2072434607645874
}],
"chart_data": [{
"color":
"#fee0d2",
"classed":
"dashed",
"strokeWidth":
2,
"values": [{
"y": 0.0,
"x": 1485907200000,
"all": 0
}, {
"y": 0.0,
"x": 1488326400000,
"all": 0
}, {
"y": 0.0061162079510703364,
"x": 1491004800000,
"all": 981
}, {
"y": 0.022082018927444796,
"x": 1493596800000,
"all": 951
}],
"key":
"% normal"
}, {
"color":
"#fc9272",
"classed":
"dashed",
"strokeWidth":
2,
"values": [{
"y": 0.0,
"x": 1485907200000,
"all": 0
}, {
"y": 0.0,
"x": 1488326400000,
"all": 0
}, {
"y": 0.0010193679918450561,
"x": 1491004800000,
"all": 981
}, {
"y": 0.008412197686645636,
"x": 1493596800000,
"all": 951
}],
"key":
"% moderately wasted (moderate acute malnutrition)"
}, {
"color":
"#de2d26",
"classed":
"dashed",
"strokeWidth":
2,
"values": [{
"y": 0.0,
"x": 1485907200000,
"all": 0
}, {
"y": 0.0,
"x": 1488326400000,
"all": 0
}, {
"y": 0.0020387359836901123,
"x": 1491004800000,
"all": 981
}, {
"y": 0.002103049421661409,
"x": 1493596800000,
"all": 951
}],
"key":
"% severely wasted (severe acute malnutrition)"
}],
"all_locations": [{
"loc_name": "st1",
"percent": 0.8810572687224669
}, {
"loc_name": "st2",
"percent": 1.2072434607645874
}]
})
def test_chart_data(self):
self.assertDictEqual(
get_prevalence_of_severe_data_chart(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
),
{
"location_type": "State",
"bottom_five": [
{
"loc_name": "st1",
"percent": 0.89086859688196
},
{
"loc_name": "st2",
"percent": 1.2244897959183674
}
],
"top_five": [
{
"loc_name": "st1",
"percent": 0.89086859688196
},
{
"loc_name": "st2",
"percent": 1.2244897959183674
}
],
"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": 0.006224066390041493,
"x": 1491004800000,
"all": 964
},
{
"y": 0.022364217252396165,
"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": 0.001037344398340249,
"x": 1491004800000,
"all": 964
},
{
"y": 0.008519701810436636,
"x": 1493596800000,
"all": 939
}
],
"key": "% moderately wasted (moderate acute malnutrition)"
},
{
"color": ChartColors.RED,
"classed": "dashed",
"strokeWidth": 2,
"values": [
{
"y": 0.0,
"x": 1485907200000,
"all": 0
},
{
"y": 0.0,
"x": 1488326400000,
"all": 0
},
{
"y": 0.002074688796680498,
"x": 1491004800000,
"all": 964
},
{
"y": 0.002129925452609159,
"x": 1493596800000,
"all": 939
}
],
"key": "% severely wasted (severe acute malnutrition)"
}
],
"all_locations": [
{
"loc_name": "st1",
"percent": 0.89086859688196
},
{
"loc_name": "st2",
"percent": 1.2244897959183674
}
]
}
)
