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84 changes: 46 additions & 38 deletions
84
compose/neurosynth-frontend/src/pages/MetaAnalysis/Nimare.helpers.ts
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135 changes: 122 additions & 13 deletions
135
...neurosynth-frontend/src/pages/MetaAnalysis/components/DisplayMetaAnalysisResults.spec.tsx
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,36 +1,145 @@ | ||
| import { render } from '@testing-library/react'; | ||
| import { render, screen } from '@testing-library/react'; | ||
| import DisplayMetaAnalysisResults from './DisplayMetaAnalysisResults'; | ||
| import { useGetMetaAnalysisResultById } from 'hooks'; | ||
| import { Mock } from 'vitest'; | ||
| import { INeurovault } from 'hooks/metaAnalyses/useGetNeurovaultImages'; | ||
| import { useGetNeurovaultImages } from 'hooks'; | ||
| import { mockMetaAnalysisReturn } from 'testing/mockData'; | ||
| import { Specification } from 'neurosynth-compose-typescript-sdk'; | ||
|
|
||
| vi.mock('hooks'); | ||
| vi.mock('pages/MetaAnalysis/components/MetaAnalysisResultStatusAlert'); | ||
| vi.mock('pages/MetaAnalysis/components/DisplayParsedNiMareFile'); | ||
| vi.mock('components/Visualizer/NiiVueVisualizer'); | ||
|
|
||
| const caseA: INeurovault[] = []; | ||
| const caseB: INeurovault[] = []; | ||
| const caseC: INeurovault[] = []; | ||
| const caseD: INeurovault[] = []; | ||
| const caseNonsenseValues: Partial<INeurovault>[] = [ | ||
| { id: 2, name: 'BNonsensicalValue' }, | ||
| { id: 3, name: 'ZAnotherNonsenseValue' }, | ||
| { id: 1, name: 'ArandomValue' }, | ||
| ]; | ||
| const caseRandomOrderDataTypes: Partial<INeurovault>[] = [ | ||
| { id: 12, name: 'label_desc-ABC' }, | ||
| { id: 3, name: 'p_desc-ABC' }, | ||
| { id: 2, name: 't_desc-ABC' }, | ||
| { id: 11, name: 'sigma2_desc-ABC' }, | ||
| { id: 5, name: 'chi2_desc-ABC' }, | ||
| { id: 4, name: 'logp_desc-ABC' }, | ||
| { id: 8, name: 'est_desc-ABC' }, | ||
| { id: 10, name: 'tau2_desc-ABC' }, | ||
| { id: 1, name: 'z_desc-ABC' }, | ||
| { id: 6, name: 'prob_desc-ABC' }, | ||
| { id: 9, name: 'se_desc-ABC' }, | ||
| { id: 7, name: 'stat_desc-ABC' }, | ||
| ]; | ||
| const caseSameKeyDifferentValues: Partial<INeurovault>[] = [ | ||
| { id: 2, name: 'z_desc-DEF' }, | ||
| { id: 3, name: 'z_desc-ZZZ' }, | ||
| { id: 1, name: 'z_desc-ABC' }, | ||
| ]; | ||
| const caseVoxelAndCluster: Partial<INeurovault>[] = [ | ||
| { id: 2, name: 'z_desc-ABC_level-voxel' }, | ||
| { id: 1, name: 'z_desc-ABC_level-cluster' }, | ||
| ]; | ||
|
|
||
| const caseMKDAChi2: Partial<INeurovault>[] = [ | ||
| { id: 1, name: 'z_desc-AAA' }, | ||
| { id: 2, name: 'z_desc-CCC' }, | ||
| { id: 3, name: 'z_desc-ZZZ' }, | ||
| { id: 4, name: 'z_desc-uniformityMass' }, | ||
| { id: 5, name: 'z_desc-associationMass' }, | ||
| ]; | ||
|
|
||
| describe('DisplayMetaAnalysisResults', () => { | ||
| it('should render', () => { | ||
| render(<DisplayMetaAnalysisResults metaAnalysis={undefined} />); | ||
| }); | ||
|
|
||
| it('should show the correctly sorted list (1)', () => { | ||
| (useGetMetaAnalysisResultById as Mock).mockReturnValue({ | ||
| data: caseA, | ||
| it('should show the correctly sorted list for nonsense values, sorting by alphabetical order', () => { | ||
| (useGetNeurovaultImages as Mock).mockReturnValue({ | ||
| data: caseNonsenseValues, | ||
| isLoading: false, | ||
| isError: false, | ||
| }); | ||
|
|
||
| // Passing in a met-analysis is not important as we mock the hook that provides the important data | ||
| render(<DisplayMetaAnalysisResults metaAnalysis={undefined} />); | ||
| render(<DisplayMetaAnalysisResults metaAnalysis={mockMetaAnalysisReturn()} />); | ||
| const buttons = screen.getAllByRole('button'); | ||
| expect(buttons.length).toEqual(caseNonsenseValues.length); | ||
| expect(buttons[0].textContent).toBe('ArandomValue'); | ||
| expect(buttons[1].textContent).toBe('BNonsensicalValue'); | ||
| expect(buttons[2].textContent).toBe('ZAnotherNonsenseValue'); | ||
| }); | ||
|
|
||
| it('should show the correctly sorted list for data types', () => { | ||
| (useGetNeurovaultImages as Mock).mockReturnValue({ | ||
| data: caseRandomOrderDataTypes, | ||
| isLoading: false, | ||
| isError: false, | ||
| }); | ||
|
|
||
| // Passing in a meta-analysis as an argument is not necessary as we mock the hook that provides the actual data | ||
| render(<DisplayMetaAnalysisResults metaAnalysis={mockMetaAnalysisReturn()} />); | ||
| const buttons = screen.getAllByRole('button'); | ||
| expect(buttons.length).toEqual(caseRandomOrderDataTypes.length); | ||
| expect(buttons[0].textContent).toBe('z_desc-ABC'); | ||
| expect(buttons[1].textContent).toBe('t_desc-ABC'); | ||
| expect(buttons[2].textContent).toBe('p_desc-ABC'); | ||
| expect(buttons[3].textContent).toBe('logp_desc-ABC'); | ||
| expect(buttons[4].textContent).toBe('chi2_desc-ABC'); | ||
| expect(buttons[5].textContent).toBe('prob_desc-ABC'); | ||
| expect(buttons[6].textContent).toBe('stat_desc-ABC'); | ||
| expect(buttons[7].textContent).toBe('est_desc-ABC'); | ||
| expect(buttons[8].textContent).toBe('se_desc-ABC'); | ||
| expect(buttons[9].textContent).toBe('tau2_desc-ABC'); | ||
| expect(buttons[10].textContent).toBe('sigma2_desc-ABC'); | ||
| expect(buttons[11].textContent).toBe('label_desc-ABC'); | ||
| }); | ||
|
|
||
| it('should show the correctly sorted list for same key different values', () => { | ||
| (useGetNeurovaultImages as Mock).mockReturnValue({ | ||
| data: caseSameKeyDifferentValues, | ||
| isLoading: false, | ||
| isError: false, | ||
| }); | ||
|
|
||
| expect(); | ||
| // Passing in a meta-analysis as an argument is not necessary as we mock the hook that provides the actual data | ||
| render(<DisplayMetaAnalysisResults metaAnalysis={mockMetaAnalysisReturn()} />); | ||
| const buttons = screen.getAllByRole('button'); | ||
| expect(buttons.length).toEqual(caseSameKeyDifferentValues.length); | ||
| expect(buttons[0].textContent).toBe('z_desc-ABC'); | ||
| expect(buttons[1].textContent).toBe('z_desc-DEF'); | ||
| expect(buttons[2].textContent).toBe('z_desc-ZZZ'); | ||
| }); | ||
|
|
||
| it('should show the correctly sorted list (2)', () => {}); | ||
| it('should show the correctly sorted list and prioritize cluster and then voxel', () => { | ||
| (useGetNeurovaultImages as Mock).mockReturnValue({ | ||
| data: caseVoxelAndCluster, | ||
| isLoading: false, | ||
| isError: false, | ||
| }); | ||
|
|
||
| render(<DisplayMetaAnalysisResults metaAnalysis={mockMetaAnalysisReturn()} />); | ||
| const buttons = screen.getAllByRole('button'); | ||
| expect(buttons.length).toEqual(caseVoxelAndCluster.length); | ||
| expect(buttons[0].textContent).toBe('z_desc-ABC_level-cluster'); | ||
| expect(buttons[1].textContent).toBe('z_desc-ABC_level-voxel'); | ||
| }); | ||
|
|
||
| it('should show the correctly sorted list for MKDAChi2', () => { | ||
| const mockMetaAnalysis = mockMetaAnalysisReturn(); | ||
| (mockMetaAnalysis.specification as Specification).estimator = { type: 'MKDAChi2' }; | ||
|
|
||
| (useGetNeurovaultImages as Mock).mockReturnValue({ | ||
| data: caseMKDAChi2, | ||
| isLoading: false, | ||
| isError: false, | ||
| }); | ||
|
|
||
| render(<DisplayMetaAnalysisResults metaAnalysis={mockMetaAnalysis} />); | ||
| const buttons = screen.getAllByRole('button'); | ||
| expect(buttons.length).toEqual(caseMKDAChi2.length); | ||
| expect(buttons[0].textContent).toBe('z_desc-associationMass'); | ||
| expect(buttons[1].textContent).toBe('z_desc-uniformityMass'); | ||
| expect(buttons[2].textContent).toBe('z_desc-AAA'); | ||
| expect(buttons[3].textContent).toBe('z_desc-CCC'); | ||
| expect(buttons[4].textContent).toBe('z_desc-ZZZ'); | ||
| }); | ||
| }); |
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