|
| 1 | +import 'jest'; |
| 2 | +import ResultSet from '../ResultSet'; |
| 3 | + |
| 4 | +jest.mock('moment-range', () => { |
| 5 | + const Moment = jest.requireActual('moment'); |
| 6 | + const MomentRange = jest.requireActual('moment-range'); |
| 7 | + const moment = MomentRange.extendMoment(Moment); |
| 8 | + return { |
| 9 | + extendMoment: () => moment, |
| 10 | + }; |
| 11 | +}); |
| 12 | + |
| 13 | +const loadResponse = (query = {}) => ({ |
| 14 | + queryType: 'regularQuery', |
| 15 | + results: [ |
| 16 | + { |
| 17 | + query: { |
| 18 | + measures: ['Orders.count'], |
| 19 | + timeDimensions: [ |
| 20 | + { |
| 21 | + dimension: 'Orders.ts', |
| 22 | + granularity: 'day', |
| 23 | + dateRange: ['2020-08-01T00:00:00.000', '2020-08-07T23:59:59.999'], |
| 24 | + }, |
| 25 | + ], |
| 26 | + filters: [], |
| 27 | + timezone: 'UTC', |
| 28 | + order: [], |
| 29 | + dimensions: [], |
| 30 | + ...query, |
| 31 | + }, |
| 32 | + data: [ |
| 33 | + { |
| 34 | + 'Orders.ts.day': '2020-08-01T00:00:00.000', |
| 35 | + 'Orders.ts': '2020-08-01T00:00:00.000', |
| 36 | + 'Orders.count': 1, |
| 37 | + }, |
| 38 | + { |
| 39 | + 'Orders.ts.day': '2020-08-02T00:00:00.000', |
| 40 | + 'Orders.ts': '2020-08-02T00:00:00.000', |
| 41 | + 'Orders.count': 2, |
| 42 | + }, |
| 43 | + ], |
| 44 | + annotation: { |
| 45 | + measures: { |
| 46 | + 'Orders.count': { |
| 47 | + title: 'Orders Count', |
| 48 | + shortTitle: 'Count', |
| 49 | + type: 'number', |
| 50 | + drillMembers: ['Orders.id', 'Orders.title'], |
| 51 | + drillMembersGrouped: { |
| 52 | + measures: [], |
| 53 | + dimensions: ['Orders.id', 'Orders.title'], |
| 54 | + }, |
| 55 | + }, |
| 56 | + }, |
| 57 | + dimensions: {}, |
| 58 | + segments: {}, |
| 59 | + timeDimensions: { |
| 60 | + 'Orders.ts.day': { title: 'Orders Ts', shortTitle: 'Ts', type: 'time' }, |
| 61 | + 'Orders.ts': { title: 'Orders Ts', shortTitle: 'Ts', type: 'time' }, |
| 62 | + }, |
| 63 | + }, |
| 64 | + }, |
| 65 | + ], |
| 66 | + pivotQuery: { |
| 67 | + measures: ['Orders.count'], |
| 68 | + timeDimensions: [ |
| 69 | + { |
| 70 | + dimension: 'Orders.ts', |
| 71 | + granularity: 'day', |
| 72 | + dateRange: ['2020-08-01T00:00:00.000', '2020-08-07T23:59:59.999'], |
| 73 | + }, |
| 74 | + ], |
| 75 | + filters: [], |
| 76 | + timezone: 'UTC', |
| 77 | + order: [], |
| 78 | + dimensions: [], |
| 79 | + ...query, |
| 80 | + }, |
| 81 | +}); |
| 82 | + |
| 83 | +describe('drill down query', () => { |
| 84 | + const resultSet1 = new ResultSet(loadResponse()); |
| 85 | + const resultSet2 = new ResultSet( |
| 86 | + loadResponse({ |
| 87 | + timezone: 'America/Los_Angeles', |
| 88 | + }) |
| 89 | + ); |
| 90 | + const resultSet3 = new ResultSet( |
| 91 | + loadResponse({ |
| 92 | + filters: [ |
| 93 | + { |
| 94 | + member: 'Users.country', |
| 95 | + operator: 'equals', |
| 96 | + values: ['Los Angeles'], |
| 97 | + }, |
| 98 | + ], |
| 99 | + }) |
| 100 | + ); |
| 101 | + |
| 102 | + it('handles a query with a time dimension', () => { |
| 103 | + expect( |
| 104 | + resultSet1.drillDown({ |
| 105 | + xValues: ['2020-08-01T00:00:00.000'], |
| 106 | + }) |
| 107 | + ).toEqual({ |
| 108 | + measures: [], |
| 109 | + dimensions: ['Orders.id', 'Orders.title'], |
| 110 | + filters: [ |
| 111 | + { |
| 112 | + member: 'Orders.count', |
| 113 | + operator: 'measureFilter', |
| 114 | + }, |
| 115 | + ], |
| 116 | + timeDimensions: [ |
| 117 | + { |
| 118 | + dimension: 'Orders.ts', |
| 119 | + dateRange: ['2020-08-01T00:00:00.000', '2020-08-01T23:59:59.999'], |
| 120 | + }, |
| 121 | + ], |
| 122 | + timezone: 'UTC', |
| 123 | + }); |
| 124 | + }); |
| 125 | + |
| 126 | + it('respects the time zone', () => { |
| 127 | + expect( |
| 128 | + resultSet2.drillDown({ |
| 129 | + xValues: ['2020-08-01T00:00:00.000'], |
| 130 | + }) |
| 131 | + ).toEqual({ |
| 132 | + measures: [], |
| 133 | + dimensions: ['Orders.id', 'Orders.title'], |
| 134 | + filters: [ |
| 135 | + { |
| 136 | + member: 'Orders.count', |
| 137 | + operator: 'measureFilter', |
| 138 | + }, |
| 139 | + ], |
| 140 | + timeDimensions: [ |
| 141 | + { |
| 142 | + dimension: 'Orders.ts', |
| 143 | + dateRange: ['2020-08-01T00:00:00.000', '2020-08-01T23:59:59.999'], |
| 144 | + }, |
| 145 | + ], |
| 146 | + timezone: 'America/Los_Angeles', |
| 147 | + }); |
| 148 | + }); |
| 149 | + |
| 150 | + it('propagates parent filters', () => { |
| 151 | + expect( |
| 152 | + resultSet3.drillDown({ |
| 153 | + xValues: ['2020-08-01T00:00:00.000'], |
| 154 | + }) |
| 155 | + ).toEqual({ |
| 156 | + measures: [], |
| 157 | + dimensions: ['Orders.id', 'Orders.title'], |
| 158 | + filters: [ |
| 159 | + { |
| 160 | + member: 'Orders.count', |
| 161 | + operator: 'measureFilter', |
| 162 | + }, |
| 163 | + { |
| 164 | + member: 'Users.country', |
| 165 | + operator: 'equals', |
| 166 | + values: ['Los Angeles'], |
| 167 | + }, |
| 168 | + ], |
| 169 | + timeDimensions: [ |
| 170 | + { |
| 171 | + dimension: 'Orders.ts', |
| 172 | + dateRange: ['2020-08-01T00:00:00.000', '2020-08-01T23:59:59.999'], |
| 173 | + }, |
| 174 | + ], |
| 175 | + timezone: 'UTC', |
| 176 | + }); |
| 177 | + }); |
| 178 | +}); |
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