mirror of
https://github.com/supabase/supabase.git
synced 2026-10-10 20:05:06 +03:00
Jordi Enric
88ed2aad97
- refactors new charts in homepage to use stable analytics endpoints
- changes are behind newHomepageUsageV2 flag
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **New Features**
* Centralized per-service health metrics hook with per-service data,
loading/error states and refresh.
* **Improvements**
* Time-series normalization into fixed buckets aligned to an end time.
* Updated UI: success-rate formatting, per-service loading/error
surfaced, refreshed click/refresh behavior; removed delta display.
* **Removals**
* Legacy project-metrics query and mapping utilities removed.
* **Tests**
* Extensive unit tests added for date ranges, bucket normalization, and
health metric calculations; some obsolete tests removed.
<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
46 lines
1.4 KiB
TypeScript
46 lines
1.4 KiB
TypeScript
import { describe, it, expect } from 'vitest'
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import {
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computeSuccessAndNonSuccessRates,
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sumErrors,
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sumTotal,
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sumWarnings,
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toLogsBarChartData,
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} from './ProjectUsage.metrics'
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describe('ProjectUsage.metrics', () => {
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const rows = [
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{ timestamp: '2025-10-22T13:00:00Z', ok_count: 90, warning_count: 5, error_count: 5 },
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{ timestamp: '2025-10-22T13:01:00Z', ok_count: 50, warning_count: 10, error_count: 0 },
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]
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it('toLogsBarChartData maps and coerces fields correctly', () => {
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const data = toLogsBarChartData(rows)
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expect(data).toHaveLength(2)
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expect(data[0]).toEqual({
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timestamp: '2025-10-22T13:00:00Z',
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ok_count: 90,
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warning_count: 5,
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error_count: 5,
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})
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})
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it('sum helpers compute totals correctly', () => {
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const data = toLogsBarChartData(rows)
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expect(sumTotal(data)).toBe(160)
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expect(sumWarnings(data)).toBe(15)
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expect(sumErrors(data)).toBe(5)
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})
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it('computeSuccessAndNonSuccessRates returns expected percentages', () => {
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const data = toLogsBarChartData(rows)
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const total = sumTotal(data)
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const warns = sumWarnings(data)
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const errs = sumErrors(data)
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const { successRate, nonSuccessRate } = computeSuccessAndNonSuccessRates(total, warns, errs)
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// success = 160 - (15 + 5) = 140 → 87.5%
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expect(successRate).toBeCloseTo(87.5)
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expect(nonSuccessRate).toBeCloseTo(12.5)
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})
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})
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