def test_map_data_right_legend_extended_info(self): data = get_institutional_deliveries_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 pregnant women who delivered in the last month:', 'value': "26" }, { 'indicator': ('Total number of pregnant women who delivered in a public/private ' 'medical facilitiy in the last month:'), 'value': "20" }, { 'indicator': ('% pregnant women who delivered in a ' 'public or private medical facility in the last month:'), 'value': '76.92%' }])
def test_map_data_right_legend_extended_info(self): data = get_institutional_deliveries_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 pregnant women who delivered in the last month:', 'value': "26" }, { 'indicator': ( 'Total number of pregnant women who delivered in a public/private ' 'medical facilitiy in the last month:' ), 'value': "20" }, { 'indicator': ( '% pregnant women who delivered in a ' 'public or private medical facility in the last month:' ), 'value': '76.92%' } ] )
def test_map_data_right_legend_average(self): data = get_institutional_deliveries_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state') self.assertEquals(data['rightLegend']['average'], 76.92307692307692)
def test_map_data_slug(self): data = get_institutional_deliveries_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state') self.assertEqual(data['slug'], 'institutional_deliveries')
def test_map_data_label(self): data = get_institutional_deliveries_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state') self.assertEquals(data['label'], 'Percent Instituitional Deliveries')
def test_map_data(self): self.assertDictEqual( get_institutional_deliveries_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state'), { "rightLegend": { "info": "Percentage of pregnant women who delivered in a public or " "private medical facility in the last month. <br/><br/>Delivery in medical" " instituitions is associated with a decrease in maternal mortality rate", "average": 76.92307692307692, 'extended_info': [{ 'indicator': 'Total number of pregnant women who delivered in the last month:', 'value': "26" }, { 'indicator': ('Total number of pregnant women who delivered in a public/private ' 'medical facilitiy in the last month:'), 'value': "20" }, { 'indicator': ('% pregnant women who delivered in a ' 'public or private medical facility in the last month:' ), 'value': '76.92%' }] }, "fills": { "0%-20%": MapColors.RED, "20%-60%": MapColors.ORANGE, "60%-100%": MapColors.PINK, "defaultFill": MapColors.GREY }, "data": { "st1": { "all": 13, "children": 9, 'original_name': ["st1"], "fillKey": "60%-100%" }, "st2": { "all": 13, "children": 11, 'original_name': ["st2"], "fillKey": "60%-100%" } }, "slug": "institutional_deliveries", "label": "Percent Instituitional Deliveries" })
def test_map_data_right_legend_average(self): data = get_institutional_deliveries_data_map( 'icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state' ) self.assertEquals(data['rightLegend']['average'], 76.92307692307692)
def test_map_data_label(self): data = get_institutional_deliveries_data_map( 'icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state' ) self.assertEquals(data['label'], 'Percent Instituitional Deliveries')
def test_map_name_is_different_data(self): self.assertDictEqual( get_institutional_deliveries_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 pregnant women who delivered in a public or " "private medical facility in the last month. <br/><br/>Delivery in medical" " instituitions is associated with a decrease in maternal mortality rate", "average": 69.23076923076923, 'extended_info': [{ 'indicator': 'Total number of pregnant women who delivered in the last month:', 'value': "13" }, { 'indicator': ('Total number of pregnant women who delivered in a public/private ' 'medical facilitiy in the last month:'), 'value': "9" }, { 'indicator': ('% pregnant women who delivered in a ' 'public or private medical facility in the last month:' ), 'value': '69.23%' }] }, "fills": { "0%-20%": MapColors.RED, "20%-60%": MapColors.ORANGE, "60%-100%": MapColors.PINK, "defaultFill": MapColors.GREY }, "data": { 'block_map': { 'all': 13, 'original_name': ['b1', 'b2'], 'children': 9, 'fillKey': '60%-100%' } }, "slug": "institutional_deliveries", "label": "Percent Instituitional Deliveries" })
def test_map_data_right_legend_keys(self): data = get_institutional_deliveries_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_average_with_two_locations_represent_by_one_topojson(self): data = get_institutional_deliveries_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'], 61.36363636363637)
def test_average_with_two_locations_represent_by_one_topojson(self): data = get_institutional_deliveries_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'], 69.23076923076923)
def test_map_data(self): data = get_institutional_deliveries_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state') self.assertDictEqual( data['data'], { 'st4': { 'all': 0, 'original_name': ['st4'], 'children': 0, 'fillKey': '0%-20%' }, 'st5': { 'all': 0, 'original_name': ['st5'], 'children': 0, 'fillKey': '0%-20%' }, 'st6': { 'all': 0, 'original_name': ['st6'], 'children': 0, 'fillKey': '0%-20%' }, 'st7': { 'all': 0, 'original_name': ['st7'], 'children': 0, 'fillKey': '0%-20%' }, 'st1': { 'all': 11, 'original_name': ['st1'], 'children': 9, 'fillKey': '60%-100%' }, 'st2': { 'all': 13, 'original_name': ['st2'], 'children': 11, 'fillKey': '60%-100%' }, 'st3': { 'all': 0, 'original_name': ['st3'], 'children': 0, 'fillKey': '0%-20%' } })
def test_map_data_keys(self): data = get_institutional_deliveries_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_right_legend_info(self): data = get_institutional_deliveries_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state') expected = ( "Percentage of pregnant women who delivered in a public or " "private medical facility in the last month. <br/><br/>Delivery in medical" " instituitions is associated with a decrease in maternal mortality rate" ) self.assertEquals(data['rightLegend']['info'], expected)
def test_map_data_right_legend_keys(self): data = get_institutional_deliveries_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_right_legend_info(self): data = get_institutional_deliveries_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state') expected = ( "Of the total number of women enrolled for Anganwadi services who gave birth in the last month, " "the percentage who delivered in a public or private medical facility. " "<br/><br/>" "Delivery in medical instituitions is associated with a decrease in maternal mortality rate" ) self.assertEquals(data['rightLegend']['info'], expected)
def test_map_data_fills(self): data = get_institutional_deliveries_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state') self.assertDictEqual( data['fills'], { "0%-20%": MapColors.RED, "20%-60%": MapColors.ORANGE, "60%-100%": MapColors.PINK, "defaultFill": MapColors.GREY })
def test_map_data_keys(self): data = get_institutional_deliveries_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_right_legend_info(self): data = get_institutional_deliveries_data_map( 'icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state' ) expected = ( "Of the total number of women enrolled for Anganwadi services who gave birth in the last month, " "the percentage who delivered in a public or private medical facility. " "<br/><br/>" "Delivery in medical instituitions is associated with a decrease in maternal mortality rate" ) self.assertEquals(data['rightLegend']['info'], expected)
def test_map_data_fills(self): data = get_institutional_deliveries_data_map( 'icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state' ) self.assertDictEqual( data['fills'], { "0%-20%": MapColors.RED, "20%-60%": MapColors.ORANGE, "60%-100%": MapColors.PINK, "defaultFill": MapColors.GREY } )
def test_map_name_two_locations_represent_by_one_topojson(self): data = get_institutional_deliveries_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': { 'all': 13, 'original_name': ['b1', 'b2'], 'children': 9, 'fillKey': '60%-100%' } })
def test_map_data(self): data = get_institutional_deliveries_data_map( 'icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state' ) self.assertDictEqual( data['data'], { 'st4': {'all': 0, 'original_name': ['st4'], 'children': 0, 'fillKey': '0%-20%'}, 'st5': {'all': 0, 'original_name': ['st5'], 'children': 0, 'fillKey': '0%-20%'}, 'st6': {'all': 0, 'original_name': ['st6'], 'children': 0, 'fillKey': '0%-20%'}, 'st7': {'all': 0, 'original_name': ['st7'], 'children': 0, 'fillKey': '0%-20%'}, 'st1': {'all': 13, 'original_name': ['st1'], 'children': 9, 'fillKey': '60%-100%'}, 'st2': {'all': 13, 'original_name': ['st2'], 'children': 11, 'fillKey': '60%-100%'}, 'st3': {'all': 0, 'original_name': ['st3'], 'children': 0, 'fillKey': '0%-20%'} } )
def test_map_name_two_locations_represent_by_one_topojson(self): data = get_institutional_deliveries_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': { 'all': 13, 'original_name': ['b1', 'b2'], 'children': 9, 'fillKey': '60%-100%' } } )
def test_map_data(self): data = get_institutional_deliveries_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state') self.assertDictEqual( data['data'], { "st1": { "all": 13, "children": 9, 'original_name': ["st1"], "fillKey": "60%-100%" }, "st2": { "all": 13, "children": 11, 'original_name': ["st2"], "fillKey": "60%-100%" } })
def test_map_data(self): self.assertDictEqual( get_institutional_deliveries_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state')[0], { "rightLegend": { "info": "Percentage of pregnant women who delivered in a public or " "private medical facility in the last month. <br/><br/>Delivery in medical" " instituitions is associated with a decrease in maternal mortality rate", "average": 76.92307692307692 }, "fills": { "0%-20%": "#de2d26", "20%-60%": "#fc9272", "60%-100%": "#fee0d2", "defaultFill": "#9D9D9D" }, "data": { "st1": { "all": 13, "children": 9, "fillKey": "60%-100%" }, "st2": { "all": 13, "children": 11, "fillKey": "60%-100%" } }, "slug": "institutional_deliveries", "label": "Percent Instituitional Deliveries" })