def test_map_data(self): data = get_adhaar_data_map( 'icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state' ) self.assertDictEqual( data['data'], { "st1": { "in_month": 64, "all": 221, 'original_name': ["st1"], "fillKey": "25%-50%" }, "st2": { "in_month": 67, "all": 279, 'original_name': ["st2"], "fillKey": "0%-25%" } } )
def test_map_data_label(self): data = get_adhaar_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state') self.assertEqual(data['label'], AADHAR_SEEDED_BENEFICIARIES)
def test_map_data_slug(self): data = get_adhaar_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state') self.assertEquals(data['slug'], 'adhaar')
def test_map_data_right_legend_average(self): data = get_adhaar_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state') self.assertEqual(data['rightLegend']['average'], 21.490683229813666)
def test_map_data_label(self): data = get_adhaar_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state') self.assertEquals(data['label'], 'Percent Aadhaar-seeded Beneficiaries')
def test_map_data_right_legend_info(self): data = get_adhaar_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state') expected = percent_aadhaar_seeded_beneficiaries_help_text() self.assertEqual(data['rightLegend']['info'], expected)
def test_map_data_right_legend_info(self): data = get_adhaar_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state') expected = ("Percentage of individuals registered using CAS " "whose Aadhaar identification has been captured") self.assertEqual(data['rightLegend']['info'], expected)
def test_map_data_label(self): data = get_adhaar_data_map( 'icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state' ) self.assertEquals(data['label'], 'Percent Aadhaar-seeded Beneficiaries')
def test_map_data_slug(self): data = get_adhaar_data_map( 'icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state' ) self.assertEquals(data['slug'], 'adhaar')
def test_map_data_right_legend_average(self): data = get_adhaar_data_map( 'icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state' ) self.assertEqual(data['rightLegend']['average'], 21.490683229813666)
def test_map_data_right_legend_info(self): data = get_adhaar_data_map( 'icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state' ) expected = percent_aadhaar_seeded_beneficiaries_help_text() self.assertEqual(data['rightLegend']['info'], expected)
def test_map_data_right_legend_info(self): data = get_adhaar_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state') expected = ( "Of the total number of ICDS beneficiaries, " "the percentage whose Adhaar identification has been captured. ") self.assertEqual(data['rightLegend']['info'], expected)
def test_map_data_right_legend_keys(self): data = get_adhaar_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_adhaar_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'], 30.264462809917354)
def test_average_with_two_locations_represent_by_one_topojson(self): data = get_adhaar_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'], 24.774193548387096)
def test_map_data(self): data = get_adhaar_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state') self.assertDictEqual( data['data'], { 'st4': { 'in_month': 0, 'original_name': ['st4'], 'all': 0, 'fillKey': '0%-25%' }, 'st5': { 'in_month': 0, 'original_name': ['st5'], 'all': 0, 'fillKey': '0%-25%' }, 'st6': { 'in_month': 0, 'original_name': ['st6'], 'all': 0, 'fillKey': '0%-25%' }, 'st7': { 'in_month': 0, 'original_name': ['st7'], 'all': 2, 'fillKey': '0%-25%' }, 'st1': { 'in_month': 192, 'original_name': ['st1'], 'all': 775, 'fillKey': '0%-25%' }, 'st2': { 'in_month': 154, 'original_name': ['st2'], 'all': 833, 'fillKey': '0%-25%' }, 'st3': { 'in_month': 0, 'original_name': ['st3'], 'all': 0, 'fillKey': '0%-25%' } })
def test_map_data_keys(self): data = get_adhaar_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_keys(self): data = get_adhaar_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(self): self.assertDictEqual( get_adhaar_data_map( 'icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state' ), { "rightLegend": { "info": "Percentage of individuals registered using CAS " "whose Aadhaar identification has been captured", "average": 26.2, 'extended_info': [ { 'indicator': 'Total number of ICDS beneficiaries whose Aadhaar has been captured:', 'value': "131" }, { 'indicator': '% of ICDS beneficiaries whose Aadhaar has been captured:', 'value': '26.20%' } ] }, "fills": { "0%-25%": MapColors.RED, "25%-50%": MapColors.ORANGE, "50%-100%": MapColors.PINK, "defaultFill": MapColors.GREY }, "data": { "st1": { "in_month": 64, "all": 221, 'original_name': ["st1"], "fillKey": "25%-50%" }, "st2": { "in_month": 67, "all": 279, 'original_name': ["st2"], "fillKey": "0%-25%" } }, "slug": "adhaar", "label": "Percent Aadhaar-seeded Beneficiaries" } )
def test_map_data_fills(self): data = get_adhaar_data_map('icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state') self.assertDictEqual( data['fills'], { "0%-25%": MapColors.RED, "25%-50%": MapColors.ORANGE, "50%-100%": MapColors.PINK, "defaultFill": MapColors.GREY })
def test_map_data_keys(self): data = get_adhaar_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_name_is_different_data(self): self.assertDictEqual( get_adhaar_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 individuals registered using CAS " "whose Aadhaar identification has been captured", "average": 28.959276018099548, 'extended_info': [ { 'indicator': 'Total number of ICDS beneficiaries whose Aadhaar has been captured:', 'value': "64" }, { 'indicator': '% of ICDS beneficiaries whose Aadhaar has been captured:', 'value': '28.96%' } ] }, "fills": { "0%-25%": MapColors.RED, "25%-50%": MapColors.ORANGE, "50%-100%": MapColors.PINK, "defaultFill": MapColors.GREY }, "data": { 'block_map': { 'in_month': 64, 'original_name': ['b1', 'b2'], 'all': 221, 'fillKey': '25%-50%' } }, "slug": "adhaar", "label": "Percent Aadhaar-seeded Beneficiaries" } )
def test_map_data_right_legend_extended_info(self): data = get_adhaar_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 ICDS beneficiaries whose Aadhaar has been captured:', 'value': "346" }, { 'indicator': '% of ICDS beneficiaries whose Aadhaar has been captured:', 'value': '21.49%' }])
def test_map_data_fills(self): data = get_adhaar_data_map( 'icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state' ) self.assertDictEqual( data['fills'], { "0%-25%": MapColors.RED, "25%-50%": MapColors.ORANGE, "50%-100%": MapColors.PINK, "defaultFill": MapColors.GREY } )
def test_map_name_two_locations_represent_by_one_topojson(self): data = get_adhaar_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': { 'in_month': 192, 'original_name': ['b1', 'b2'], 'all': 775, 'fillKey': '0%-25%' } })
def test_map_data(self): data = get_adhaar_data_map( 'icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state' ) self.assertDictEqual( data['data'], { 'st4': {'in_month': 0, 'original_name': ['st4'], 'all': 0, 'fillKey': '0%-25%'}, 'st5': {'in_month': 0, 'original_name': ['st5'], 'all': 0, 'fillKey': '0%-25%'}, 'st6': {'in_month': 0, 'original_name': ['st6'], 'all': 0, 'fillKey': '0%-25%'}, 'st7': {'in_month': 0, 'original_name': ['st7'], 'all': 2, 'fillKey': '0%-25%'}, 'st1': {'in_month': 192, 'original_name': ['st1'], 'all': 775, 'fillKey': '0%-25%'}, 'st2': {'in_month': 154, 'original_name': ['st2'], 'all': 833, 'fillKey': '0%-25%'}, 'st3': {'in_month': 0, 'original_name': ['st3'], 'all': 0, 'fillKey': '0%-25%'} } )
def test_map_name_two_locations_represent_by_one_topojson(self): data = get_adhaar_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': { 'in_month': 192, 'original_name': ['b1', 'b2'], 'all': 775, 'fillKey': '0%-25%' } } )
def test_map_data_right_legend_extended_info(self): data = get_adhaar_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 ICDS beneficiaries whose Aadhaar has been captured:', 'value': "346" }, { 'indicator': '% of ICDS beneficiaries whose Aadhaar has been captured:', 'value': '21.49%' } ] )
def test_map_data(self): self.assertDictEqual( get_adhaar_data_map( 'icds-cas', config={ 'month': (2017, 5, 1), 'aggregation_level': 1 }, loc_level='state' )[0], { "rightLegend": { "info": "Percentage of individuals registered using CAS " "whose Adhaar identification has been captured", "average": 26.2 }, "fills": { "0%-25%": "#de2d26", "25%-50%": "#fc9272", "50%-100%": "#fee0d2", "defaultFill": "#9D9D9D" }, "data": { "st1": { "in_month": 64, "all": 221, "fillKey": "25%-50%" }, "st2": { "in_month": 67, "all": 279, "fillKey": "0%-25%" } }, "slug": "adhaar", "label": "Percent Adhaar-seeded Beneficiaries" } )