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feat: /api/hype-cycle/analysis endpoint — DB-backed Bass-fitted results from hype_cycle_analysis table

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Rene Fichtmueller 2026-04-18 00:11:08 +02:00
parent 7a6e60fcc6
commit 23bdfc1585
2 changed files with 34 additions and 0 deletions
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2
CHANGELOG_PENDING.md
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@ -159,3 +159,5 @@ Types: FEAT · FIX · UI · DATA · AI · INFRA
{"d":"2026-03-30","t":"DATA","m":"v0.1.0: 5,018 transceivers, 351 vendors seeded from 23 initial scrapers"}
{"d":"2026-04-17","t":"DATA","m":"Vendor cleanup: pruned 242 irrelevant OEM/manufacturer vendors with no transceiver or switch data — 348→106 vendors"}
{"d":"2026-04-18","t":"FEAT","m":"Mouser Electronics API scraper: OEM reference prices for Juniper/Cisco/Arista PIDs — scheduled daily 03:00, MOUSER_API_KEY env var required"}
{"d":"2026-04-18","t":"FEAT","m":"Hype Cycle Engine: Norton-Bass diffusion model fitted to 6 tech generations (10G/100G/400G-QSFP-DD/800G-OSFP/400G-ZR/1.6T). Bass params via grid search, Gartner phase detection, ASP log-linear projection. Seeded market_metrics + hype_cycle_analysis table. Scheduled daily 04:30. API: GET /api/hype-cycle/analysis"}
{"d":"2026-04-18","t":"DATA","m":"migration 039: hype_cycle_analysis table (Bass p/q/M params, phase, score, projected share 1y/3y, ASP current + decline %). market_metrics CHECK extended with hype_score type"}

32
packages/api/src/routes/hype-cycle.ts
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@ -165,6 +165,38 @@ hypeCycleRouter.get("/regional/:tech", (req: Request, res: Response) => {
});
});
// GET /api/hype-cycle/analysis — Bass-fitted results from DB (hype_cycle_analysis table)
hypeCycleRouter.get("/analysis", async (_req: Request, res: Response) => {
try {
const { pool } = await import("../db/client");
const { rows } = await pool.query(`
SELECT DISTINCT ON (technology)
technology, computed_at,
bass_p, bass_q, bass_m,
t_peak_year, current_t,
ROUND(current_share * 100, 1) AS share_pct,
ROUND(projected_share_1y * 100, 1) AS share_1y_pct,
ROUND(projected_share_3y * 100, 1) AS share_3y_pct,
hype_phase, hype_score,
phase_since_year, years_to_next_phase,
asp_current_usd, asp_decline_pct_3y,
r_squared, data_points, notes
FROM hype_cycle_analysis
ORDER BY technology, computed_at DESC
`);
if (rows.length === 0) {
res.json({ success: true, source: "db", data: [], message: "No analysis yet — run compute:hype-cycle job" });
return;
}
res.json({ success: true, source: "db", computed_at: rows[0]?.computed_at, data: rows });
} catch (err) {
console.error("Hype cycle analysis DB error:", err);
res.status(500).json({ success: false, error: "Failed to fetch analysis" });
}
});
// GET /api/hype-cycle/:tech — Specific technology detail (must be last!)
hypeCycleRouter.get("/:tech", (req: Request, res: Response) => {
const techQuery = String(req.params.tech);