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x-pack/plugins/profiling/e2e/cypress/e2e/profiling_views/differential_functions.cy.ts
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/* | ||
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one | ||
* or more contributor license agreements. Licensed under the Elastic License | ||
* 2.0; you may not use this file except in compliance with the Elastic License | ||
* 2.0. | ||
*/ | ||
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||
describe('Differential Functions page', () => { | ||
const rangeFrom = '2023-04-18T00:00:00.000Z'; | ||
const rangeTo = '2023-04-18T00:00:30.000Z'; | ||
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const comparisonRangeFrom = '2023-04-18T00:01:00.000Z'; | ||
const comparisonRangeTo = '2023-04-18T00:01:30.000Z'; | ||
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beforeEach(() => { | ||
cy.loginAsElastic(); | ||
}); | ||
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it('opens differential page', () => { | ||
cy.visitKibana('/app/profiling/functions/differential', { rangeFrom, rangeTo }); | ||
cy.contains('Baseline functions'); | ||
cy.contains('Comparison functions'); | ||
}); | ||
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describe('summary', () => { | ||
it('shows only the baseline values when comparison data is not available', () => { | ||
cy.intercept('GET', '/internal/profiling/topn/functions?*').as('getTopNFunctions'); | ||
cy.visitKibana('/app/profiling/functions/differential', { rangeFrom, rangeTo }); | ||
// wait for both apis to finisto move on | ||
cy.wait('@getTopNFunctions'); | ||
cy.wait('@getTopNFunctions'); | ||
[ | ||
{ id: 'overallPerformance', value: '0%' }, | ||
{ id: 'annualizedCo2', value: '33.79 lbs / 15.33 kg' }, | ||
{ id: 'annualizedCost', value: '$318.32' }, | ||
{ id: 'totalNumberOfSamples', value: '513' }, | ||
].forEach((item) => { | ||
cy.get(`[data-test-subj="${item.id}_value"]`).contains(item.value); | ||
cy.get(`[data-test-subj="${item.id}_comparison_value"]`).should('not.exist'); | ||
}); | ||
}); | ||
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it('shows empty baseline values when data is not available', () => { | ||
cy.intercept('GET', '/internal/profiling/topn/functions?*').as('getTopNFunctions'); | ||
cy.visitKibana('/app/profiling/functions/differential', { | ||
comparisonRangeFrom: rangeFrom, | ||
comparisonRangeTo: rangeTo, | ||
}); | ||
cy.wait('@getTopNFunctions'); | ||
cy.wait('@getTopNFunctions'); | ||
[ | ||
{ id: 'overallPerformance', value: '0%' }, | ||
{ id: 'annualizedCo2', value: '0 lbs / 0 kg', comparisonValue: '33.79 lbs / 15.33 kg' }, | ||
{ id: 'annualizedCost', value: '$0', comparisonValue: '$318.32' }, | ||
{ id: 'totalNumberOfSamples', value: '0', comparisonValue: '15,390' }, | ||
].forEach((item) => { | ||
cy.get(`[data-test-subj="${item.id}_value"]`).contains(item.value); | ||
if (item.comparisonValue) { | ||
cy.get(`[data-test-subj="${item.id}_comparison_value"]`).contains(item.comparisonValue); | ||
} | ||
}); | ||
}); | ||
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it('show gained performance when comparison data has less samples than baseline', () => { | ||
cy.intercept('GET', '/internal/profiling/topn/functions?*').as('getTopNFunctions'); | ||
cy.visitKibana('/app/profiling/functions/differential', { | ||
rangeFrom, | ||
rangeTo, | ||
comparisonRangeFrom, | ||
comparisonRangeTo, | ||
}); | ||
// wait for both apis to finisto move on | ||
cy.wait('@getTopNFunctions'); | ||
cy.wait('@getTopNFunctions'); | ||
[ | ||
{ id: 'overallPerformance', value: '65.89%', icon: 'sortUp_success' }, | ||
{ | ||
id: 'annualizedCo2', | ||
value: '33.79 lbs / 15.33 kg', | ||
comparisonValue: '11.53 lbs / 5.23 kg (65.89%)', | ||
icon: 'comparison_sortUp_success', | ||
}, | ||
{ | ||
id: 'annualizedCost', | ||
value: '$318.32', | ||
comparisonValue: '$108.59 (65.89%)', | ||
icon: 'comparison_sortUp_success', | ||
}, | ||
{ | ||
id: 'totalNumberOfSamples', | ||
value: '513', | ||
comparisonValue: '175 (65.89%)', | ||
icon: 'comparison_sortUp_success', | ||
}, | ||
].forEach((item) => { | ||
cy.get(`[data-test-subj="${item.id}_value"]`).contains(item.value); | ||
cy.get(`[data-test-subj="${item.id}_${item.icon}"]`).should('exist'); | ||
if (item.comparisonValue) { | ||
cy.get(`[data-test-subj="${item.id}_comparison_value"]`).contains(item.comparisonValue); | ||
} | ||
}); | ||
}); | ||
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it('show lost performance when comparison data has more samples than baseline', () => { | ||
cy.intercept('GET', '/internal/profiling/topn/functions?*').as('getTopNFunctions'); | ||
cy.visitKibana('/app/profiling/functions/differential', { | ||
rangeFrom: comparisonRangeFrom, | ||
rangeTo: comparisonRangeTo, | ||
comparisonRangeFrom: rangeFrom, | ||
comparisonRangeTo: rangeTo, | ||
}); | ||
// wait for both apis to finisto move on | ||
cy.wait('@getTopNFunctions'); | ||
cy.wait('@getTopNFunctions'); | ||
[ | ||
{ id: 'overallPerformance', value: '193.14%', icon: 'sortDown_danger' }, | ||
{ | ||
id: 'annualizedCo2', | ||
value: '11.53 lbs / 5.23 kg', | ||
comparisonValue: '33.79 lbs / 15.33 kg (193.14%)', | ||
icon: 'comparison_sortDown_danger', | ||
}, | ||
{ | ||
id: 'annualizedCost', | ||
value: '$108.59', | ||
comparisonValue: '$318.32 (193.14%)', | ||
icon: 'comparison_sortDown_danger', | ||
}, | ||
{ | ||
id: 'totalNumberOfSamples', | ||
value: '175', | ||
comparisonValue: '513 (193.14%)', | ||
icon: 'comparison_sortDown_danger', | ||
}, | ||
].forEach((item) => { | ||
cy.get(`[data-test-subj="${item.id}_value"]`).contains(item.value); | ||
cy.get(`[data-test-subj="${item.id}_${item.icon}"]`).should('exist'); | ||
if (item.comparisonValue) { | ||
cy.get(`[data-test-subj="${item.id}_comparison_value"]`).contains(item.comparisonValue); | ||
} | ||
}); | ||
}); | ||
it('show empty summary when no data is availble', () => { | ||
cy.intercept('GET', '/internal/profiling/topn/functions?*').as('getTopNFunctions'); | ||
cy.visitKibana('/app/profiling/functions/differential'); | ||
// wait for both apis to finisto move on | ||
cy.wait('@getTopNFunctions'); | ||
cy.wait('@getTopNFunctions'); | ||
[ | ||
{ id: 'overallPerformance', value: '0%' }, | ||
{ id: 'annualizedCo2', value: '0 lbs / 0 kg' }, | ||
{ id: 'annualizedCost', value: '$0' }, | ||
{ id: 'totalNumberOfSamples', value: '0' }, | ||
].forEach((item) => { | ||
cy.get(`[data-test-subj="${item.id}_value"]`).contains(item.value); | ||
cy.get(`[data-test-subj="${item.id}_comparison_value"]`).should('not.exist'); | ||
}); | ||
}); | ||
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it('adds kql filter', () => { | ||
cy.intercept('GET', '/internal/profiling/topn/functions?*').as('getTopNFunctions'); | ||
cy.visitKibana('/app/profiling/functions/differential', { | ||
rangeFrom: comparisonRangeFrom, | ||
rangeTo: comparisonRangeTo, | ||
comparisonRangeFrom: rangeFrom, | ||
comparisonRangeTo: rangeTo, | ||
}); | ||
cy.wait('@getTopNFunctions'); | ||
cy.wait('@getTopNFunctions'); | ||
cy.get('[data-test-subj="topNFunctionsGrid"] .euiDataGridRow').should('have.length.gt', 1); | ||
cy.get('[data-test-subj="TopNFunctionsComparisonGrid"] .euiDataGridRow').should( | ||
'have.length.gt', | ||
1 | ||
); | ||
cy.addKqlFilter({ | ||
key: 'process.thread.name', | ||
value: '108795321966692', | ||
}); | ||
cy.addKqlFilter({ | ||
key: 'Stacktrace.id', | ||
value: '-7DvnP1mizQYw8mIIpgbMg', | ||
dataTestSubj: 'profilingComparisonUnifiedSearchBar', | ||
}); | ||
cy.wait('@getTopNFunctions'); | ||
cy.wait('@getTopNFunctions'); | ||
cy.get('[data-test-subj="topNFunctionsGrid"] .euiDataGridRow').should('have.length', 2); | ||
cy.get('[data-test-subj="TopNFunctionsComparisonGrid"] .euiDataGridRow').should( | ||
'have.length', | ||
1 | ||
); | ||
[ | ||
{ id: 'overallPerformance', value: '50.00%', icon: 'sortUp_success' }, | ||
{ | ||
id: 'annualizedCo2', | ||
value: '0.13 lbs / 0.06 kg', | ||
comparisonValue: '0.07 lbs / 0.03 kg (50.00%)', | ||
icon: 'comparison_sortUp_success', | ||
}, | ||
{ | ||
id: 'annualizedCost', | ||
value: '$1.24', | ||
comparisonValue: '$0.62 (50.00%)', | ||
icon: 'comparison_sortUp_success', | ||
}, | ||
{ | ||
id: 'totalNumberOfSamples', | ||
value: '2', | ||
comparisonValue: '1 (50.00%)', | ||
icon: 'comparison_sortUp_success', | ||
}, | ||
].forEach((item) => { | ||
cy.get(`[data-test-subj="${item.id}_value"]`).contains(item.value); | ||
cy.get(`[data-test-subj="${item.id}_${item.icon}"]`).should('exist'); | ||
if (item.comparisonValue) { | ||
cy.get(`[data-test-subj="${item.id}_comparison_value"]`).contains(item.comparisonValue); | ||
} | ||
}); | ||
}); | ||
}); | ||
}); |
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90
x-pack/plugins/profiling/e2e/cypress/e2e/profiling_views/functions.cy.ts
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@@ -0,0 +1,90 @@ | ||
/* | ||
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one | ||
* or more contributor license agreements. Licensed under the Elastic License | ||
* 2.0; you may not use this file except in compliance with the Elastic License | ||
* 2.0. | ||
*/ | ||
|
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describe('Functions page', () => { | ||
const rangeFrom = '2023-04-18T00:00:00.000Z'; | ||
const rangeTo = '2023-04-18T00:00:30.000Z'; | ||
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beforeEach(() => { | ||
cy.loginAsElastic(); | ||
}); | ||
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it('opens /topN page when navigating to /functions page', () => { | ||
cy.visitKibana('/app/profiling/functions', { rangeFrom, rangeTo }); | ||
cy.url().should('include', '/app/profiling/functions/topn'); | ||
}); | ||
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it('shows TopN functions and Differential TopN functions', () => { | ||
cy.visitKibana('/app/profiling/functions', { rangeFrom, rangeTo }); | ||
cy.contains('TopN functions'); | ||
cy.contains('Differential TopN functions'); | ||
}); | ||
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it('validates values in the table', () => { | ||
cy.intercept('GET', '/internal/profiling/topn/functions?*').as('getTopNFunctions'); | ||
cy.visitKibana('/app/profiling/functions', { rangeFrom, rangeTo }); | ||
cy.wait('@getTopNFunctions'); | ||
const firstRowSelector = '[data-grid-row-index="0"] [data-test-subj="dataGridRowCell"]'; | ||
cy.get(firstRowSelector).eq(1).contains('1'); | ||
cy.get(firstRowSelector).eq(2).contains('vmlinux'); | ||
cy.get(firstRowSelector).eq(3).contains('5.46%'); | ||
cy.get(firstRowSelector).eq(4).contains('5.46%'); | ||
cy.get(firstRowSelector).eq(5).contains('1.84 lbs / 0.84 kg'); | ||
cy.get(firstRowSelector).eq(6).contains('$17.37'); | ||
cy.get(firstRowSelector).eq(7).contains('28'); | ||
}); | ||
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it('shows function details when action button is clicked on the table ', () => { | ||
cy.intercept('GET', '/internal/profiling/topn/functions?*').as('getTopNFunctions'); | ||
cy.visitKibana('/app/profiling/functions', { rangeFrom, rangeTo }); | ||
cy.wait('@getTopNFunctions'); | ||
const firstRowSelector = | ||
'[data-grid-row-index="0"] [data-test-subj="dataGridRowCell"] .euiButtonIcon'; | ||
cy.get(firstRowSelector).click(); | ||
cy.contains('Frame information'); | ||
cy.contains('Impact estimates'); | ||
[ | ||
{ parentKey: 'informationRows', key: 'executable', value: 'vmlinux' }, | ||
{ parentKey: 'informationRows', key: 'function', value: 'N/A' }, | ||
{ parentKey: 'informationRows', key: 'sourceFile', value: 'N/A' }, | ||
{ parentKey: 'impactEstimates', key: 'totalCPU', value: '5.46%' }, | ||
{ parentKey: 'impactEstimates', key: 'selfCPU', value: '5.46%' }, | ||
{ parentKey: 'impactEstimates', key: 'samples', value: '28' }, | ||
{ parentKey: 'impactEstimates', key: 'selfSamples', value: '28' }, | ||
{ parentKey: 'impactEstimates', key: 'coreSeconds', value: '1.4 seconds' }, | ||
{ parentKey: 'impactEstimates', key: 'selfCoreSeconds', value: '1.4 seconds' }, | ||
{ parentKey: 'impactEstimates', key: 'annualizedCoreSeconds', value: '17.03 days' }, | ||
{ parentKey: 'impactEstimates', key: 'annualizedSelfCoreSeconds', value: '17.03 days' }, | ||
{ parentKey: 'impactEstimates', key: 'co2Emission', value: '~0.00 lbs / ~0.00 kg' }, | ||
{ parentKey: 'impactEstimates', key: 'selfCo2Emission', value: '~0.00 lbs / ~0.00 kg' }, | ||
{ parentKey: 'impactEstimates', key: 'annualizedCo2Emission', value: '1.84 lbs / 0.84 kg' }, | ||
{ | ||
parentKey: 'impactEstimates', | ||
key: 'annualizedSelfCo2Emission', | ||
value: '1.84 lbs / 0.84 kg', | ||
}, | ||
{ parentKey: 'impactEstimates', key: 'dollarCost', value: '$~0.00' }, | ||
{ parentKey: 'impactEstimates', key: 'selfDollarCost', value: '$~0.00' }, | ||
{ parentKey: 'impactEstimates', key: 'annualizedDollarCost', value: '$17.37' }, | ||
{ parentKey: 'impactEstimates', key: 'annualizedSelfDollarCost', value: '$17.37' }, | ||
].forEach(({ parentKey, key, value }) => { | ||
cy.get(`[data-test-subj="${parentKey}_${key}"]`).contains(value); | ||
}); | ||
}); | ||
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it('adds kql filter', () => { | ||
cy.intercept('GET', '/internal/profiling/topn/functions?*').as('getTopNFunctions'); | ||
cy.visitKibana('/app/profiling/functions', { rangeFrom, rangeTo }); | ||
cy.wait('@getTopNFunctions'); | ||
cy.get('.euiDataGridRow').should('have.length.gt', 1); | ||
cy.addKqlFilter({ key: 'Stacktrace.id', value: '-7DvnP1mizQYw8mIIpgbMg' }); | ||
cy.wait('@getTopNFunctions'); | ||
cy.get('.euiDataGridRow').should('have.length', 1); | ||
const firstRowSelector = '[data-grid-row-index="0"] [data-test-subj="dataGridRowCell"]'; | ||
cy.get(firstRowSelector).eq(2).contains('libjvm.so'); | ||
}); | ||
}); |
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