import { describe, it, expect, vi } from 'vitest';
import { mockSearchConsoleClient } from './mocks';
import {
comparePeriods,
getTopQueries,
getTopPages,
getPerformanceByCountry,
getPerformanceBySearchAppearance,
detectTrends,
detectAnomalies
} from '../src/google/tools/analytics';
import {
detectCannibalization,
findLowCTROpportunities,
findStrikingDistance,
findLostQueries,
analyzeBrandVsNonBrand,
findQuickWins,
findLowHangingFruit
} from '../src/google/tools/seo-insights';
import { isBrandQuery, isCannibalized } from '../src/common/tools/seo-primitives';
describe('100% Coverage Edge Cases', () => {
describe('Analytics Edge Cases', () => {
it('calculatePercent exhaustive (Line 175)', async () => {
// Case 1: prev 0, curr > 0
mockSearchConsoleClient.searchanalytics.query
.mockResolvedValueOnce({ data: { rows: [{ clicks: 10 }] } })
.mockResolvedValueOnce({ data: { rows: [] } });
await comparePeriods('s', 's', 's', 's', 's');
// Case 2: prev 0, curr 0
mockSearchConsoleClient.searchanalytics.query
.mockResolvedValueOnce({ data: { rows: [] } })
.mockResolvedValueOnce({ data: { rows: [] } });
await comparePeriods('s', 's', 's', 's', 's');
// Case 3: prev > 0
mockSearchConsoleClient.searchanalytics.query
.mockResolvedValueOnce({ data: { rows: [{ clicks: 10 }] } })
.mockResolvedValueOnce({ data: { rows: [{ clicks: 10 }] } });
await comparePeriods('s', 's', 's', 's', 's');
});
it('exhaustive breakdown fallbacks (Line 228-375)', async () => {
// We need at least 2 rows to trigger sort branches
const badRows = [
{ keys: undefined, clicks: undefined, impressions: undefined, ctr: undefined, position: undefined },
{ keys: [], clicks: 10 }
];
mockSearchConsoleClient.searchanalytics.query.mockResolvedValue({ data: { rows: badRows } });
await getTopQueries('s', { sortBy: 'clicks' });
await getTopPages('s', { sortBy: 'clicks' });
await getPerformanceByCountry('s', { sortBy: 'clicks' });
await getPerformanceBySearchAppearance('s', { sortBy: 'clicks' });
});
it('detectTrends and anomalies full (Line 426-552)', async () => {
// Trends: hit line 471, 478, 489
mockSearchConsoleClient.searchanalytics.query
.mockResolvedValueOnce({ data: { rows: [{ keys: ['k'], clicks: 100 }, { keys: ['new'], clicks: 50 }] } })
.mockResolvedValueOnce({ data: { rows: [{ keys: ['k'], clicks: undefined }] } }); // hits 471
await detectTrends('s', { minClicks: 10, threshold: 0 });
// Anomalies: line 537-548
mockSearchConsoleClient.searchanalytics.query.mockResolvedValue({
data: {
rows: [
{ keys: ['d1'], clicks: 10 },
{ keys: ['d2'], clicks: 10 },
{ keys: ['d3'], clicks: 10 },
{ keys: ['d4'], clicks: 10 },
{ keys: ['d5'], clicks: 10 }
]
}
});
await detectAnomalies('s');
});
});
describe('SEO Insights Edge Cases', () => {
it('exhaustive insights fallbacks', async () => {
const badRows = [
{ keys: undefined, position: undefined, impressions: undefined, clicks: undefined, ctr: undefined },
{ keys: [], position: 10, impressions: 1000 }
];
mockSearchConsoleClient.searchanalytics.query.mockResolvedValue({ data: { rows: badRows } });
await findLowHangingFruit('s', { minImpressions: 0 });
await detectCannibalization('s', { minImpressions: 0 });
await findLowCTROpportunities('s', { minImpressions: 0 });
await findStrikingDistance('s');
await findQuickWins('s', { minImpressions: 0 });
mockSearchConsoleClient.searchanalytics.query
.mockResolvedValueOnce({ data: { rows: [] } })
.mockResolvedValueOnce({ data: { rows: badRows } });
await findLostQueries('s');
mockSearchConsoleClient.searchanalytics.query.mockResolvedValue({ data: { rows: badRows } });
await analyzeBrandVsNonBrand('s', 'b');
});
});
describe('Primitives Edge Case', () => {
it('finalize', () => {
expect(isBrandQuery('test', '[').isBrand).toBe(false);
expect(isCannibalized('q', { position: 5, impressions: 0, clicks: 0 }, { position: 5, impressions: 0, clicks: 0 }).overlapScore).toBe(0);
});
});
});
