def test_map_name_two_locations_represent_by_one_topojson_icds_feature_flag_enabled(self):
data = get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'state_id': 'st1',
'district_id': 'd1',
'aggregation_level': 3
},
loc_level='block',
show_test=False,
icds_feature_flag=True
)
self.assertDictEqual(
data['data'],
{
'block_map': {
'moderate': 4,
'total_measured': 7,
'normal': 3,
'original_name': ['b1', 'b2'],
'severe': 0,
'total_height_eligible': 454,
'total_weighed': 317,
'fillKey': '7%-100%'
}
}
)
def test_map_data_right_legend_info(self):
data = get_prevalence_of_severe_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
expected = wasting_help_text("0 - 5 years")
self.assertEquals(data['rightLegend']['info'], expected)
def test_map_data_label(self):
data = get_prevalence_of_severe_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertEquals(data['label'],
'Percent of Children Wasted (6 - 60 months)')
def test_map_data_right_legend_average(self):
data = get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEqual(data['rightLegend']['average'], "29.63")
def test_map_data_slug(self):
data = get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEqual(data['slug'], 'severe')
def test_map_data_right_legend_average(self):
data = get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEqual(data['rightLegend']['average'], "29.63")
def test_map_data_slug(self):
data = get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEqual(data['slug'], 'severe')
def test_map_data_right_legend_average_icds_feature_flag_enabled(self):
data = get_prevalence_of_severe_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state',
show_test=False,
icds_feature_flag=True)
self.assertEquals(data['rightLegend']['average'], "29.63")
def test_map_data_label(self):
data = get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEqual(data['label'], 'Percent of Children Wasted (0 - 5 years)')
def test_map_data_label_icds_feature_flag_enabled(self):
data = get_prevalence_of_severe_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state',
show_test=False,
icds_feature_flag=True)
self.assertEquals(data['label'],
'Percent of Children Wasted (0 - 5 years)')
def test_map_data_right_legend_info(self):
data = get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
expected = wasting_help_text("0 - 5 years")
self.assertEquals(data['rightLegend']['info'], expected)
def test_map_name_is_different_data(self):
self.assertDictEqual(
get_prevalence_of_severe_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 children between 6 - 60 months enrolled for ICDS services with "
"weight-for-height below -2 standard deviations of the WHO Child Growth Standards "
"median. <br/><br/>Wasting in children is a symptom of acute undernutrition "
"usually as a consequence of insufficient food intake or a high incidence "
"of infectious diseases. Severe Acute Malnutrition (SAM) is nutritional "
"status for a child who has severe wasting (weight-for-height) below -3 "
"Z and Moderate Acute Malnutrition (MAM) is nutritional status for a child "
"that has moderate wasting (weight-for-height) below -2Z.",
"average": "0.89",
'extended_info': [
{'indicator': 'Total Children (6 - 60 months) weighed in given month:', 'value': '449'},
{'indicator': 'Total Children (6 - 60 months) with height measured in given month:',
'value': '7'},
{'indicator': '% Unmeasured (6 - 60 months):', 'value': '98.00%'},
{'indicator': '% Severely Acute Malnutrition (6 - 60 months):', 'value': '0.00%'},
{'indicator': '% Moderately Acute Malnutrition (6 - 60 months):', 'value': '0.89%'},
{'indicator': '% Normal (6 - 60 months):', 'value': '1.11%'}
]
},
"fills": {
"0%-5%": MapColors.PINK,
"5%-7%": MapColors.ORANGE,
"7%-100%": MapColors.RED,
"defaultFill": MapColors.GREY
},
"data": {
'block_map': {
'moderate': 4,
'total_measured': 7,
'normal': 5,
'original_name': ['b1', 'b2'],
'severe': 0,
'total': 449,
'fillKey': '0%-5%'
}
},
"slug": "severe",
"label": "Percent of Children Wasted (6 - 60 months)"
}
)
def test_map_data_label_icds_feature_flag_enabled(self):
data = get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state',
show_test=False,
icds_feature_flag=True
)
self.assertEquals(data['label'], 'Percent of Children Wasted (0 - 5 years)')
def test_map_data_right_legend_average_icds_feature_flag_enabled(self):
data = get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state',
show_test=False,
icds_feature_flag=True
)
self.assertEquals(data['rightLegend']['average'], "29.63")
def test_average_with_two_locations_represent_by_one_topojson(self):
data = get_prevalence_of_severe_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'], "57.14")
def test_average_with_two_locations_represent_by_one_topojson(self):
data = get_prevalence_of_severe_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'], "57.14")
def test_map_data_right_legend_keys(self):
data = get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')['rightLegend']
self.assertEqual(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_icds_feature_flag_enabled(
self):
data = get_prevalence_of_severe_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'state_id': 'st1',
'district_id': 'd1',
'aggregation_level': 3
},
loc_level='block',
show_test=False,
icds_feature_flag=True)
self.assertEquals(data['rightLegend']['average'], "0.00")
def test_map_data_right_legend_info_icds_feature_flag_enabled(self):
data = get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state',
show_test=False,
icds_feature_flag=True
)
expected = wasting_help_text("0 - 5 years")
self.assertEqual(data['rightLegend']['info'], expected)
def test_map_data_right_legend_keys(self):
data = get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)['rightLegend']
self.assertEqual(len(data), 3)
self.assertIn('info', data)
self.assertIn('average', data)
self.assertIn('extended_info', data)
def test_map_data_keys(self):
data = get_prevalence_of_severe_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertEqual(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_fills(self):
data = get_prevalence_of_severe_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertDictEqual(
data['fills'], {
"0%-5%": MapColors.PINK,
"5%-7%": MapColors.ORANGE,
"7%-100%": MapColors.RED,
"defaultFill": MapColors.GREY
})
def test_map_data(self):
self.assertDictEqual(
get_prevalence_of_severe_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')[0],
{
"rightLegend": {
"info":
"Percentage of children between 6 - 60 months enrolled for ICDS services with "
"weight-for-height below -2 standard deviations of the WHO Child Growth Standards "
"median. <br/><br/>Wasting in children is a symptom of acute undernutrition "
"usually as a consequence of insufficient food intake or a high incidence "
"of infectious diseases. Severe Acute Malnutrition (SAM) is nutritional "
"status for a child who has severe wasting (weight-for-height) below -3 "
"Z and Moderate Acute Malnutrition (MAM) is nutritional status for a child "
"that has moderate wasting (weight-for-height) below -2Z.",
"average":
"1.05"
},
"fills": {
"0%-5%": "#fee0d2",
"5%-7%": "#fc9272",
"7%-100%": "#de2d26",
"defaultFill": "#9D9D9D"
},
"data": {
"st1": {
"severe": 0,
"moderate": 4,
"normal": 5,
"total_measured": 7,
"total": 454,
"fillKey": "0%-5%"
},
"st2": {
"severe": 2,
"moderate": 4,
"normal": 16,
"total_measured": 25,
"total": 497,
"fillKey": "0%-5%"
}
},
"slug": "severe",
"label": "Percent of Children Wasted (6 - 60 months)"
})
def test_map_data_keys(self):
data = get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertEqual(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_info(self):
data = get_prevalence_of_severe_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
expected = (
"Of the children enrolled for Anganwadi services, whose weight and height was measured, the "
"percentage of children between 0 - 5 years who were moderately/severely wasted in the "
"current month. "
"<br/><br/>"
"Severe Acute Malnutrition (SAM) or wasting in children is a symptom of acute undernutrition "
"usually as a consequence of insufficient food intake or a high incidence of infectious diseases."
)
self.assertEqual(data['rightLegend']['info'], expected)
def test_map_data_right_legend_info(self):
data = get_prevalence_of_severe_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
expected = (
"Percentage of children between 6 - 60 months enrolled for Anganwadi Services with "
"weight-for-height below -2 standard deviations of the WHO Child Growth Standards "
"median. <br/><br/>Wasting in children is a symptom of acute undernutrition "
"usually as a consequence of insufficient food intake or a high incidence "
"of infectious diseases. Severe Acute Malnutrition (SAM) is nutritional "
"status for a child who has severe wasting (weight-for-height) below -3 "
"Z and Moderate Acute Malnutrition (MAM) is nutritional status for a child "
"that has moderate wasting (weight-for-height) below -2Z.")
self.assertEquals(data['rightLegend']['info'], expected)
def test_map_data_fills(self):
data = get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertDictEqual(
data['fills'],
{
"0%-5%": MapColors.PINK,
"5%-7%": MapColors.ORANGE,
"7%-100%": MapColors.RED,
"defaultFill": MapColors.GREY
}
)
def test_map_data_right_legend_extended_info_icds_feature_flag_enabled(
self):
data = get_prevalence_of_severe_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state',
show_test=False,
icds_feature_flag=True)
self.assertListEqual(data['rightLegend']['extended_info'], [{
'indicator':
'Total Children (0 - 5 years) weighed in given month:',
'value':
'696'
}, {
'indicator':
'Total Children (0 - 5 years) with weight and height measured in given month:',
'value':
'27'
}, {
'indicator':
'Number of children (0 - 5 years) unmeasured:',
'value':
'256'
}, {
'indicator':
'% Severely Acute Malnutrition (0 - 5 years):',
'value':
'0.00%'
}, {
'indicator':
'% Moderately Acute Malnutrition (0 - 5 years):',
'value':
'29.63%'
}, {
'indicator':
'% Normal (0 - 5 years):',
'value':
'70.37%'
}])
def test_map_data_right_legend_extended_info(self):
data = get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertListEqual(
data['rightLegend']['extended_info'],
[
{'indicator': 'Total Children (0 - 5 years) weighed in given month:', 'value': '696'},
{'indicator': 'Total Children (0 - 5 years) with height measured in given month:',
'value': '27'},
{'indicator': 'Number of children (0 - 5 years) unmeasured:', 'value': '256'},
{'indicator': '% Severely Acute Malnutrition (0 - 5 years):', 'value': '0.00%'},
{'indicator': '% Moderately Acute Malnutrition (0 - 5 years):', 'value': '29.63%'},
{'indicator': '% Normal (0 - 5 years):', 'value': '70.37%'}
]
)
def test_map_data_right_legend_extended_info(self):
data = get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
)
self.assertListEqual(
data['rightLegend']['extended_info'],
[
{'indicator': 'Total Children (6 - 60 months) weighed in given month:', 'value': '668'},
{'indicator': 'Total Children (6 - 60 months) with height measured in given month:',
'value': '31'},
{'indicator': 'Number of children (6 - 60 months) unmeasured:', 'value': '271'},
{'indicator': '% Severely Acute Malnutrition (6 - 60 months):', 'value': '0.00%'},
{'indicator': '% Moderately Acute Malnutrition (6 - 60 months):', 'value': '25.81%'},
{'indicator': '% Normal (6 - 60 months):', 'value': '61.29%'}
]
)
def test_map_data(self):
data = get_prevalence_of_severe_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state')
self.assertDictEqual(
data['data'], {
'st1': {
'moderate': 4,
'severe': 0,
'normal': 3,
'total_weighed': 317,
'total_measured': 7,
'total_height_eligible': 475,
'original_name': ['st1'],
'fillKey': '7%-100%'
},
'st2': {
'moderate': 4,
'severe': 0,
'normal': 16,
'total_weighed': 378,
'total_measured': 24,
'total_height_eligible': 513,
'original_name': ['st2'],
'fillKey': '7%-100%'
},
'st7': {
'moderate': 0,
'severe': 0,
'normal': 0,
'total_weighed': 0,
'total_measured': 0,
'total_height_eligible': 1,
'original_name': ['st7'],
'fillKey': '0%-5%'
}
})
def test_map_name_two_locations_represent_by_one_topojson(self):
data = get_prevalence_of_severe_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': {
'moderate': 4,
'total_measured': 7,
'normal': 3,
'original_name': ['b1', 'b2'],
'severe': 0,
'total': 449,
'fillKey': '0%-5%'
}
})
def test_map_data_icds_feature_flag_enabled(self):
data = get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state',
show_test=False,
icds_feature_flag=True
)
self.assertDictEqual(
data['data'],
{
"st1": {
"severe": 0,
"moderate": 0,
"normal": 0,
'total_height_eligible': 454,
"total_measured": 0,
"total_weighed": 317,
'original_name': ["st1"],
"fillKey": "0%-5%"
},
"st2": {
"severe": 0,
"moderate": 1,
"normal": 0,
'total_height_eligible': 497,
"total_measured": 0,
"total_weighed": 379,
'original_name': ["st2"],
"fillKey": "7%-100%"
}
}
)
def test_map_data_icds_feature_flag_enabled(self):
data = get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state',
show_test=False,
icds_feature_flag=True
)
self.assertDictEqual(
data['data'],
{
'st4': {
'normal': 0,
'total_measured': 0,
'original_name': ['st4'],
'total_weighed': 0,
'severe': 0,
'moderate': 0,
'total_height_eligible': 0,
'fillKey': '0%-5%'
},
'st5': {
'normal': 0,
'total_measured': 0,
'original_name': ['st5'],
'total_weighed': 0,
'severe': 0,
'moderate': 0,
'total_height_eligible': 0,
'fillKey': '0%-5%'
},
'st6': {
'normal': 0,
'total_measured': 0,
'original_name': ['st6'],
'total_weighed': 0,
'severe': 0,
'moderate': 0,
'total_height_eligible': 0,
'fillKey': '0%-5%'
},
'st7': {
'normal': 0,
'total_measured': 0,
'original_name': ['st7'],
'total_weighed': 0,
'severe': 0,
'moderate': 0,
'total_height_eligible': 1,
'fillKey': '0%-5%'
},
'st1': {
'normal': 3,
'total_measured': 7,
'original_name': ['st1'],
'total_weighed': 317,
'severe': 0,
'moderate': 4,
'total_height_eligible': 454,
'fillKey': '7%-100%'
},
'st2': {
'normal': 16,
'total_measured': 20,
'original_name': ['st2'],
'total_weighed': 379,
'severe': 0,
'moderate': 4,
'total_height_eligible': 497,
'fillKey': '7%-100%'
},
'st3': {
'normal': 0,
'total_measured': 0,
'original_name': ['st3'],
'total_weighed': 0,
'severe': 0,
'moderate': 0,
'total_height_eligible': 0,
'fillKey': '0%-5%'
}
}
)
def test_map_data(self):
self.assertDictEqual(
get_prevalence_of_severe_data_map(
'icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state'
),
{
"rightLegend": {
"info": "Percentage of children between 6 - 60 months enrolled for ICDS services with "
"weight-for-height below -2 standard deviations of the WHO Child Growth Standards "
"median. <br/><br/>Wasting in children is a symptom of acute undernutrition "
"usually as a consequence of insufficient food intake or a high incidence "
"of infectious diseases. Severe Acute Malnutrition (SAM) is nutritional "
"status for a child who has severe wasting (weight-for-height) below -3 "
"Z and Moderate Acute Malnutrition (MAM) is nutritional status for a child "
"that has moderate wasting (weight-for-height) below -2Z.",
"average": "1.06",
'extended_info': [
{'indicator': 'Total Children (6 - 60 months) weighed in given month:', 'value': '939'},
{'indicator': 'Total Children (6 - 60 months) with height measured in given month:',
'value': '32'},
{'indicator': '% Unmeasured (6 - 60 months):', 'value': '96.70%'},
{'indicator': '% Severely Acute Malnutrition (6 - 60 months):', 'value': '0.21%'},
{'indicator': '% Moderately Acute Malnutrition (6 - 60 months):', 'value': '0.85%'},
{'indicator': '% Normal (6 - 60 months):', 'value': '2.24%'}
]
},
"fills": {
"0%-5%": MapColors.PINK,
"5%-7%": MapColors.ORANGE,
"7%-100%": MapColors.RED,
"defaultFill": MapColors.GREY
},
"data": {
"st1": {
"severe": 0,
"moderate": 4,
"normal": 5,
"total_measured": 7,
"total": 449,
'original_name': ["st1"],
"fillKey": "0%-5%"
},
"st2": {
"severe": 2,
"moderate": 4,
"normal": 16,
"total_measured": 25,
"total": 490,
'original_name': ["st2"],
"fillKey": "0%-5%"
}
},
"slug": "severe",
"label": "Percent of Children Wasted (6 - 60 months)"
}
)
def test_map_data_icds_feature_flag_enabled(self):
data = get_prevalence_of_severe_data_map('icds-cas',
config={
'month': (2017, 5, 1),
'aggregation_level': 1
},
loc_level='state',
show_test=False,
icds_feature_flag=True)
self.assertDictEqual(
data['data'], {
'st4': {
'normal': 0,
'total_measured': 0,
'original_name': ['st4'],
'total_weighed': 0,
'severe': 0,
'moderate': 0,
'total_height_eligible': 0,
'fillKey': '0%-5%'
},
'st5': {
'normal': 0,
'total_measured': 0,
'original_name': ['st5'],
'total_weighed': 0,
'severe': 0,
'moderate': 0,
'total_height_eligible': 0,
'fillKey': '0%-5%'
},
'st6': {
'normal': 0,
'total_measured': 0,
'original_name': ['st6'],
'total_weighed': 0,
'severe': 0,
'moderate': 0,
'total_height_eligible': 0,
'fillKey': '0%-5%'
},
'st7': {
'normal': 0,
'total_measured': 0,
'original_name': ['st7'],
'total_weighed': 0,
'severe': 0,
'moderate': 0,
'total_height_eligible': 1,
'fillKey': '0%-5%'
},
'st1': {
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'total_measured': 7,
'original_name': ['st1'],
'total_weighed': 317,
'severe': 0,
'moderate': 4,
'total_height_eligible': 454,
'fillKey': '7%-100%'
},
'st2': {
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'total_measured': 20,
'original_name': ['st2'],
'total_weighed': 379,
'severe': 0,
'moderate': 4,
'total_height_eligible': 497,
'fillKey': '7%-100%'
},
'st3': {
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'total_measured': 0,
'original_name': ['st3'],
'total_weighed': 0,
'severe': 0,
'moderate': 0,
'total_height_eligible': 0,
'fillKey': '0%-5%'
}
})
