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core: round metric savings to remove false precision #15721

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Jan 4, 2024
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38 changes: 36 additions & 2 deletions core/audits/audit.js
Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,14 @@ import {Util} from '../../shared/util.js';

const DEFAULT_PASS = 'defaultPass';

/** @type {LH.Audit.MetricSavings} */
const METRIC_SAVINGS_PRECISION = {
FCP: 50,
LCP: 50,
TBT: 50,
CLS: 0.001,
};
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/**
* @typedef TableOptions
* @property {number=} wastedMs
Expand Down Expand Up @@ -339,6 +347,30 @@ class Audit {
return score;
}

/**
* @param {LH.Audit.MetricSavings|undefined} metricSavings
* @return {LH.Audit.MetricSavings|undefined}
*/
static _normalizeMetricSavings(metricSavings) {
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if (!metricSavings) return;

/** @type {LH.Audit.MetricSavings} */
const normalizedMetricSavings = {...metricSavings};

// eslint-disable-next-line max-len
for (const key of /** @type {Array<keyof LH.Audit.MetricSavings>} */ (Object.keys(metricSavings))) {
const value = metricSavings[key];
if (value === undefined) continue;

const precision = METRIC_SAVINGS_PRECISION[key];
if (precision === undefined) continue;
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nit: is this check needed (since key has been cast)?

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Oh, because the properties are all optional. You could make METRIC_SAVINGS_PRECISION Record<keyof LH.Audit.MetricSavings, number> or Required<LH.Audit.MetricSavings> (that would require a precision for INP, but maybe that's good anyways)

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Good point about INP, I forgot that and will add. With recent type changes we would need to also provide precision for stuff like SI and FMP which will probably never have metric savings.

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Kind of a side point, but looking at #15540 now, maybe it's not worth lhr.d.ts knowing about the metric acronyms? There's benefits to the report having to deal with the generic acronym string matching (free backwards/forwards compatibility), while probably still enforcing specific acronyms in core/.

It seems like the renderer implementation wouldn't have to change, just the types, but overconstraining the types now may require more work down the line. I guess the main weird thing might be AuditResult.MetricSavings would then need to be Record<string, number> while we'd still want Audit.ProductBase.metricSavings to be the enumerated set of acronyms.


normalizedMetricSavings[key] = Math.round(value / precision) * precision;
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}

return normalizedMetricSavings;
}

/**
* @param {typeof Audit} audit
* @param {string | LH.IcuMessage} errorMessage
Expand Down Expand Up @@ -378,10 +410,12 @@ class Audit {
scoreDisplayMode = product.scoreDisplayMode;
}

const metricSavings = Audit._normalizeMetricSavings(product.metricSavings);

if (scoreDisplayMode === Audit.SCORING_MODES.METRIC_SAVINGS) {
if (score && score >= Util.PASS_THRESHOLD) {
score = 1;
} else if (Object.values(product.metricSavings || {}).some(v => v)) {
} else if (Object.values(metricSavings || {}).some(v => v)) {
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score = 0;
} else {
score = 0.5;
Expand Down Expand Up @@ -419,7 +453,7 @@ class Audit {
errorStack: product.errorStack,
warnings: product.warnings,
scoringOptions: product.scoringOptions,
metricSavings: product.metricSavings,
metricSavings,

details: product.details,
guidanceLevel: audit.meta.guidanceLevel,
Expand Down
8 changes: 8 additions & 0 deletions core/test/audits/audit-test.js
Original file line number Diff line number Diff line change
Expand Up @@ -178,6 +178,14 @@ describe('Audit', () => {
assert.strictEqual(auditResult.score, 0.3);
});

it('normalizes metric savings', () => {
const auditResult = Audit.generateAuditResult(PassOrFailAudit, {
score: 0,
metricSavings: {LCP: 0.1, FCP: 149},
});
assert.deepStrictEqual(auditResult.metricSavings, {LCP: 0, FCP: 150});
});
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it('chooses the title if score is passing', () => {
const auditResult = Audit.generateAuditResult(PassOrFailAudit, {score: 1});
assert.strictEqual(auditResult.score, 1);
Expand Down
24 changes: 12 additions & 12 deletions core/test/fixtures/user-flows/reports/sample-flow-result.json
Original file line number Diff line number Diff line change
Expand Up @@ -529,7 +529,7 @@
"numericUnit": "millisecond",
"displayValue": "1.0 s",
"metricSavings": {
"TBT": 143
"TBT": 150
},
"details": {
"type": "table",
Expand Down Expand Up @@ -594,7 +594,7 @@
"numericUnit": "millisecond",
"displayValue": "0.3 s",
"metricSavings": {
"TBT": 142.50196940171634
"TBT": 150
},
"details": {
"type": "table",
Expand Down Expand Up @@ -1744,7 +1744,7 @@
"scoreDisplayMode": "informative",
"displayValue": "5 elements found",
"metricSavings": {
"CLS": 0.002631263732910156
"CLS": 0.003
},
"details": {
"type": "table",
Expand Down Expand Up @@ -1869,7 +1869,7 @@
"scoreDisplayMode": "informative",
"displayValue": "3 long tasks found",
"metricSavings": {
"TBT": 143
"TBT": 150
},
"details": {
"type": "table",
Expand Down Expand Up @@ -8996,7 +8996,7 @@
"numericUnit": "millisecond",
"displayValue": "0.9 s",
"metricSavings": {
"TBT": 122.83299999999986
"TBT": 100
},
"details": {
"type": "table",
Expand Down Expand Up @@ -9066,7 +9066,7 @@
"numericUnit": "millisecond",
"displayValue": "0.4 s",
"metricSavings": {
"TBT": 106.76186411159928
"TBT": 100
},
"details": {
"type": "table",
Expand Down Expand Up @@ -9874,7 +9874,7 @@
"scoreDisplayMode": "metricSavings",
"displayValue": "1 element found",
"metricSavings": {
"CLS": 0.13125
"CLS": 0.131
},
"details": {
"type": "table",
Expand Down Expand Up @@ -9923,7 +9923,7 @@
"scoreDisplayMode": "informative",
"displayValue": "1 long task found",
"metricSavings": {
"TBT": 122.83299999999986
"TBT": 100
},
"details": {
"type": "table",
Expand Down Expand Up @@ -18485,7 +18485,7 @@
"numericUnit": "millisecond",
"displayValue": "0.5 s",
"metricSavings": {
"TBT": 13
"TBT": 0
},
"details": {
"type": "table",
Expand Down Expand Up @@ -18550,7 +18550,7 @@
"numericUnit": "millisecond",
"displayValue": "0.2 s",
"metricSavings": {
"TBT": 25.85177364864864
"TBT": 50
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Gah, I can see the appeal of using Math.floor() in examples like this. Because it's potential savings we don't want to overestimate the value. Agreed with @connorjclark that rounding 199 to 100 isn't great, but so is overpromising the savings by 2x here.

OTOH using a precision of 50 and Math.round() means the rounded value is only ever a max of 25ms away from the original value. To do the same with Math.floor() we'd have to drop the granularity to 25, which may be getting too precise again.

IMO in terms of purity (don't overpromise savings you won't be able to get) Math.floor() makes the most sense. However in practice, considering the chosen granularity levels and the lack of actual accuracy in the initial estimate, I think it probably doesn't matter, and so Math.round() works fine and arguably better.

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Yeah, I think the case I'm more worried about is this audit score goes from 0.5 to 1 just because of 25.x ms of savings. Perhaps a follow-up PR could introduce some minimum threshold for that condition as well.

},
"details": {
"type": "table",
Expand Down Expand Up @@ -19676,7 +19676,7 @@
"scoreDisplayMode": "informative",
"displayValue": "2 long tasks found",
"metricSavings": {
"TBT": 13
"TBT": 0
},
"details": {
"type": "table",
Expand Down Expand Up @@ -20988,7 +20988,7 @@
"warnings": [],
"metricSavings": {
"FCP": 0,
"LCP": 330
"LCP": 350
},
"details": {
"type": "opportunity",
Expand Down
22 changes: 11 additions & 11 deletions core/test/results/sample_v2.json
Original file line number Diff line number Diff line change
Expand Up @@ -390,8 +390,8 @@
"numericUnit": "millisecond",
"displayValue": "Root document took 570 ms",
"metricSavings": {
"FCP": 468.46799999999996,
"LCP": 468.46799999999996
"FCP": 450,
"LCP": 450
},
"details": {
"type": "opportunity",
Expand Down Expand Up @@ -1106,7 +1106,7 @@
"numericUnit": "millisecond",
"displayValue": "2.2 s",
"metricSavings": {
"TBT": 1220.691999999999
"TBT": 1200
},
"details": {
"type": "table",
Expand Down Expand Up @@ -1171,7 +1171,7 @@
"numericUnit": "millisecond",
"displayValue": "1.3 s",
"metricSavings": {
"TBT": 1209.4020894768312
"TBT": 1200
},
"details": {
"type": "table",
Expand Down Expand Up @@ -2349,7 +2349,7 @@
"scoreDisplayMode": "informative",
"displayValue": "Third-party code blocked the main thread for 0 ms",
"metricSavings": {
"TBT": 23.424291876693196
"TBT": 0
},
"details": {
"type": "table",
Expand Down Expand Up @@ -2430,7 +2430,7 @@
"scoreDisplayMode": "metricSavings",
"displayValue": "13,320 ms",
"metricSavings": {
"LCP": 10819.961
"LCP": 10800
},
"details": {
"type": "list",
Expand Down Expand Up @@ -2530,7 +2530,7 @@
"scoreDisplayMode": "metricSavings",
"displayValue": "5 elements found",
"metricSavings": {
"CLS": 0.13570762803819444
"CLS": 0.136
},
"details": {
"type": "table",
Expand Down Expand Up @@ -2655,7 +2655,7 @@
"scoreDisplayMode": "informative",
"displayValue": "2 long tasks found",
"metricSavings": {
"TBT": 1220.691999999999
"TBT": 1200
},
"details": {
"type": "table",
Expand Down Expand Up @@ -4609,7 +4609,7 @@
"warnings": [],
"metricSavings": {
"FCP": 0,
"LCP": 610
"LCP": 600
},
"details": {
"type": "opportunity",
Expand Down Expand Up @@ -4919,7 +4919,7 @@
"displayValue": "Potential savings of 143 KiB",
"metricSavings": {
"FCP": 150,
"LCP": 1060
"LCP": 1050
},
"details": {
"type": "opportunity",
Expand Down Expand Up @@ -5195,7 +5195,7 @@
"numericUnit": "element",
"displayValue": "153 elements",
"metricSavings": {
"TBT": 1
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lol 1

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Indeed, one of the reasons this PR exists

"TBT": 0
},
"details": {
"type": "table",
Expand Down
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