Pipeline: recent-only changes, series-level source merge, severity weights, OWID freshness; registry split central/general government

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

Simon-Pierre Boucher committed 13 days ago (Sep 11, 2026) parent 7d7b316

111 changed files +2,290 −63

added apps/web/AGENTS.md +9 −0

		`@@ -0,0 +1,9 @@`
	1	+<!-- BEGIN:nextjs-agent-rules -->
	2	+
	3	+# This is NOT the Next.js you know
	4	+
	5	+This version has breaking changes — APIs, conventions, and file structure may all differ from your training data. Read the relevant guide in `node_modules/next/dist/docs/` (resolved from this file's directory; in monorepos the `next` package may not be visible from the repo root) before writing any code. Heed deprecation notices.
	6	+
	7	+This block is written and re-added by `next dev` — verify at `node_modules/next/dist/server/lib/generate-agent-files.js`. Removing it from a diff only re-creates the uncommitted change; committing it with your work keeps the tree clean.
	8	+
	9	+<!-- END:nextjs-agent-rules -->

added apps/web/CLAUDE.md +1 −0

		`@@ -0,0 +1 @@`
	1	+@AGENTS.md

added apps/web/qa/screens.mjs +81 −0

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	1	+/**
	2	+ * Mobile-first QA: screenshots of the key pages at phone + desktop widths, plus automated checks:
	3	+ * - no horizontal overflow (scrollWidth <= innerWidth)
	4	+ * - interactive elements >= 44 px tall (buttons/links in header, tab bar, chips, metrics)
	5	+ * - fixed bottom tab bar does not overlap the footer (body padding-bottom)
	6	+ * - layout shift after fonts/charts settle (compare heights before/after)
	7	+ * Run: NODE_PATH=/Users/simon-pierreboucher/Desktop/uqo-eval/node_modules node qa/screens.mjs [BASE_URL]
	8	+ */
	9	+import { chromium } from 'playwright';
	10	+import { mkdirSync, writeFileSync } from 'node:fs';
	11	+import { createRequire } from 'node:module';
	12	+
	13	+const BASE = process.argv[2] ?? process.env.BASE_URL ?? 'http://localhost:8290';
	14	+const OUT = new URL('./screens/', import.meta.url).pathname;
	15	+mkdirSync(OUT, { recursive: true });
	16	+
	17	+const PAGES = ['/', '/countries', '/countries/canada', '/countries/canada/economy'];
	18	+const WIDTHS = [320, 360, 375, 390, 414, 430, 1280, 1440];
	19	+const report = [];
	20	+
	21	+const browser = await chromium.launch();
	22	+for (const width of WIDTHS) {
	23	+ const mobile = width < 768;
	24	+ const ctx = await browser.newContext({ viewport: { width, height: mobile ? 800 : 900 }, deviceScaleFactor: 1, isMobile: mobile, hasTouch: mobile, colorScheme: 'light' });
	25	+ const page = await ctx.newPage();
	26	+ const errors = [];
	27	+ page.on('pageerror', (e) => errors.push(String(e)));
	28	+ page.on('console', (m) => { if (m.type() === 'error') errors.push(m.text()); });
	29	+ for (const path of PAGES) {
	30	+ await page.goto(BASE + path, { waitUntil: 'networkidle' });
	31	+ await page.evaluate(() => document.fonts.ready);
	32	+ const h1 = await page.evaluate(() => document.documentElement.scrollHeight);
	33	+ await page.waitForTimeout(600);
	34	+ const metrics = await page.evaluate(() => {
	35	+ const de = document.documentElement;
	36	+ const overflow = de.scrollWidth - de.clientWidth;
	37	+ // elements wider than the viewport
	38	+ const wide = [...document.querySelectorAll('body *')].filter((el) => { const r = el.getBoundingClientRect(); return r.right > de.clientWidth + 1 && r.width > 0; }).slice(0, 8).map((el) => `${el.tagName.toLowerCase()}.${String(el.className).split(' ').slice(0, 3).join('.')} right=${Math.round(el.getBoundingClientRect().right)}`);
	39	+ const small = [...document.querySelectorAll('a,button,[role=button],input,select,summary')].filter((el) => { const r = el.getBoundingClientRect(); if (r.width === 0 \|\| r.height === 0) return false; const cs = getComputedStyle(el); if (cs.visibility === 'hidden') return false; return r.height < 44 && r.width < 44; }).map((el) => `${el.tagName.toLowerCase()} "${(el.getAttribute('aria-label') \|\| el.textContent \|\| '').trim().slice(0, 30)}" ${Math.round(el.getBoundingClientRect().width)}x${Math.round(el.getBoundingClientRect().height)}`);
	40	+ const smallH = [...document.querySelectorAll('a,button,[role=button],input,select,summary')].filter((el) => { const r = el.getBoundingClientRect(); return r.width > 0 && r.height > 0 && r.height < 32; }).map((el) => `${el.tagName.toLowerCase()} "${(el.getAttribute('aria-label') \|\| el.textContent \|\| '').trim().slice(0, 30)}" h=${Math.round(el.getBoundingClientRect().height)}`);
	41	+ const tab = document.querySelector('nav.fixed');
	42	+ const bodyPad = parseFloat(getComputedStyle(document.body).paddingBottom);
	43	+ const footer = document.querySelector('footer');
	44	+ return { overflow, wide, small, smallH: smallH.slice(0, 12), tabBar: tab ? tab.getBoundingClientRect().height : 0, bodyPad, footerBottom: footer ? footer.getBoundingClientRect().bottom + window.scrollY : 0, docH: de.scrollHeight };
	45	+ });
	46	+ const h2 = metrics.docH;
	47	+ const name = `${path === '/' ? 'home' : path.slice(1).replace(/\//g, '_')}-${width}.png`;
	48	+ await page.screenshot({ path: OUT + name, fullPage: true });
	49	+ report.push({ path, width, overflow: metrics.overflow, wide: metrics.wide, small: metrics.small.slice(0, 10), smallH: metrics.smallH, tabBar: metrics.tabBar, bodyPad: metrics.bodyPad, cls: h2 - h1, errors: errors.splice(0), file: name });
	50	+ }
	51	+ await ctx.close();
	52	+}
	53	+// Dark-mode sample + favicon rasterisation
	54	+{
	55	+ const ctx = await browser.newContext({ viewport: { width: 390, height: 800 }, colorScheme: 'dark', isMobile: true, hasTouch: true });
	56	+ const page = await ctx.newPage();
	57	+ await page.goto(BASE + '/countries/canada', { waitUntil: 'networkidle' });
	58	+ await page.screenshot({ path: OUT + 'countries_canada-390-dark.png', fullPage: true });
	59	+ await ctx.close();
	60	+}
	61	+{
	62	+ const require = createRequire(import.meta.url);
	63	+ const { readFileSync } = require('node:fs');
	64	+ const svg = readFileSync(new URL('../src/app/icon.svg', import.meta.url), 'utf8');
	65	+ for (const [size, file] of [[512, '../src/app/icon.png'], [180, '../src/app/apple-icon.png']]) {
	66	+ const ctx = await browser.newContext({ viewport: { width: size, height: size }, deviceScaleFactor: 1 });
	67	+ const page = await ctx.newPage();
	68	+ await page.setContent(`<html><body style="margin:0;background:transparent">${svg.replace(/width="\d+" height="\d+"/, `width="${size}" height="${size}"`)}</body></html>`);
	69	+ await page.screenshot({ path: new URL(file, import.meta.url).pathname, omitBackground: true, clip: { x: 0, y: 0, width: size, height: size } });
	70	+ await ctx.close();
	71	+ }
	72	+}
	73	+await browser.close();
	74	+writeFileSync(OUT + 'report.json', JSON.stringify(report, null, 2));
	75	+for (const r of report) {
	76	+ const flags = [r.overflow > 0 ? `OVERFLOW +${r.overflow}px` : 'ok', r.small.length ? `${r.small.length} small targets` : '', r.cls ? `Δh ${r.cls}` : '', r.errors.length ? `${r.errors.length} console errors` : ''].filter(Boolean).join(' · ');
	77	+ console.log(`${r.width.toString().padStart(4)} ${r.path.padEnd(28)} ${flags}`);
	78	+ if (r.overflow > 0) console.log(' wide:', r.wide.join(' \| '));
	79	+ if (r.small.length) console.log(' small:', r.small.slice(0, 6).join(' \| '));
	80	+ if (r.errors.length) console.log(' errors:', r.errors.slice(0, 3).join(' \| '));
	81	+}

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added apps/web/qa/screens/countries_canada_economy-1280.png +0 −0

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added apps/web/qa/screens/report.json +1104 −0

		`@@ -0,0 +1,1104 @@`
	1	+[
	2	+ {
	3	+ "path": "/",
	4	+ "width": 320,
	5	+ "overflow": 0,
	6	+ "wide": [
	7	+ "li. right=357",
	8	+ "a.inline-flex.h-9.items-center right=357",
	9	+ "li. right=501",
	10	+ "a.inline-flex.h-9.items-center right=501",
	11	+ "li. right=585",
	12	+ "a.inline-flex.h-9.items-center right=585",
	13	+ "li. right=690",
	14	+ "a.inline-flex.h-9.items-center right=690"
	15	+ ],
	16	+ "small": [
	17	+ "a \"Skip to content\" 1x1",
	18	+ "a \"API\" 22x32"
	19	+ ],
	20	+ "smallH": [
	21	+ "a \"Skip to content\" h=1",
	22	+ "a \"See all →\" h=21",
	23	+ "a \"🇨🇦Canada\" h=21",
	24	+ "a \"🇰🇷South Korea\" h=21",
	25	+ "a \"🇦🇪United Arab Emirates\" h=21",
	26	+ "a \"🇨🇱Chile\" h=21",
	27	+ "a \"🇸🇦Saudi Arabia\" h=21",
	28	+ "a \"🇲🇳Mongolia\" h=21",
	29	+ "a \"🇿🇦South Africa\" h=21",
	30	+ "a \"🇩🇿Algeria\" h=21",
	31	+ "a \"🇿🇲Zambia\" h=21",
	32	+ "a \"🇵🇰Pakistan\" h=21"
	33	+ ],
	34	+ "tabBar": 57,
	35	+ "bodyPad": 56,
	36	+ "cls": 0,
	37	+ "errors": [],
	38	+ "file": "home-320.png"
	39	+ },
	40	+ {
	41	+ "path": "/countries",
	42	+ "width": 320,
	43	+ "overflow": 0,
	44	+ "wide": [],
	45	+ "small": [
	46	+ "a \"Skip to content\" 1x1",
	47	+ "a \"API\" 22x32"
	48	+ ],
	49	+ "smallH": [
	50	+ "a \"Skip to content\" h=1",
	51	+ "select \"NamePopulationGDP per capitaCo\" h=19",
	52	+ "a \"contact@spboucher.ai\" h=15",
	53	+ "a \"MacLustr\" h=15"
	54	+ ],
	55	+ "tabBar": 57,
	56	+ "bodyPad": 56,
	57	+ "cls": 0,
	58	+ "errors": [],
	59	+ "file": "countries-320.png"
	60	+ },
	61	+ {
	62	+ "path": "/countries/canada",
	63	+ "width": 320,
	64	+ "overflow": 0,
	65	+ "wide": [
	66	+ "li.snap-start right=330",
	67	+ "a.inline-flex.h-9.items-center right=330",
	68	+ "li.snap-start right=444",
	69	+ "a.inline-flex.h-9.items-center right=444",
	70	+ "span.tnum.text-2xs.text-ink-3 right=434",
	71	+ "li.snap-start right=526",
	72	+ "a.inline-flex.h-9.items-center right=526",
	73	+ "span.tnum.text-2xs.text-ink-3 right=516"
	74	+ ],
	75	+ "small": [
	76	+ "a \"Skip to content\" 1x1",
	77	+ "a \"API\" 22x32"
	78	+ ],
	79	+ "smallH": [
	80	+ "a \"Skip to content\" h=1",
	81	+ "a \"Internet users at a 10-year hi\" h=19",
	82	+ "a \"Learning poverty turned positi\" h=19",
	83	+ "a \"🇱🇺Luxembourg\" h=21",
	84	+ "a \"🇸🇪Sweden\" h=21",
	85	+ "a \"🇳🇷Nauru\" h=21",
	86	+ "a \"🇳🇴Norway\" h=21",
	87	+ "a \"🇨🇾Cyprus\" h=21",
	88	+ "a \"🇩🇪Germany\" h=21",
	89	+ "a \"🇳🇨New Caledonia\" h=21",
	90	+ "a \"🇬🇮Gibraltar\" h=21",
	91	+ "a \"🇺🇸 United States\" h=17"
	92	+ ],
	93	+ "tabBar": 57,
	94	+ "bodyPad": 56,
	95	+ "cls": 0,
	96	+ "errors": [],
	97	+ "file": "countries_canada-320.png"
	98	+ },
	99	+ {
	100	+ "path": "/countries/canada/economy",
	101	+ "width": 320,
	102	+ "overflow": 0,
	103	+ "wide": [
	104	+ "li.snap-start right=383",
	105	+ "a.inline-flex.h-9.items-center right=383",
	106	+ "li.snap-start right=445",
	107	+ "a.inline-flex.h-9.items-center right=445",
	108	+ "li.snap-start right=518",
	109	+ "a.inline-flex.h-9.items-center right=518",
	110	+ "li.snap-start right=597",
	111	+ "a.inline-flex.h-9.items-center right=597"
	112	+ ],
	113	+ "small": [
	114	+ "a \"Skip to content\" 1x1",
	115	+ "a \"REER\" 40x20",
	116	+ "a \"API\" 22x32"
	117	+ ],
	118	+ "smallH": [
	119	+ "a \"Skip to content\" h=1",
	120	+ "a \"Countries\" h=15",
	121	+ "a \"🇨🇦 Canada\" h=15",
	122	+ "a \"GDP (current US$)\" h=20",
	123	+ "a \"GDP, PPP (current internationa\" h=20",
	124	+ "a \"GDP per capita (current US$)\" h=20",
	125	+ "a \"Real GDP\" h=20",
	126	+ "a \"Industrial production index\" h=20",
	127	+ "a \"GDP growth\" h=20",
	128	+ "a \"GDP per capita growth\" h=20",
	129	+ "a \"Inflation\" h=20",
	130	+ "a \"Inflation, GDP deflator\" h=20"
	131	+ ],
	132	+ "tabBar": 57,
	133	+ "bodyPad": 56,
	134	+ "cls": 0,
	135	+ "errors": [],
	136	+ "file": "countries_canada_economy-320.png"
	137	+ },
	138	+ {
	139	+ "path": "/",
	140	+ "width": 360,
	141	+ "overflow": 0,
	142	+ "wide": [
	143	+ "li. right=501",
	144	+ "a.inline-flex.h-9.items-center right=501",
	145	+ "li. right=585",
	146	+ "a.inline-flex.h-9.items-center right=585",
	147	+ "li. right=690",
	148	+ "a.inline-flex.h-9.items-center right=690",
	149	+ "li. right=846",
	150	+ "a.inline-flex.h-9.items-center right=846"
	151	+ ],
	152	+ "small": [
	153	+ "a \"Skip to content\" 1x1",
	154	+ "a \"API\" 22x32"
	155	+ ],
	156	+ "smallH": [
	157	+ "a \"Skip to content\" h=1",
	158	+ "a \"See all →\" h=21",
	159	+ "a \"🇨🇦Canada\" h=21",
	160	+ "a \"🇰🇷South Korea\" h=21",
	161	+ "a \"🇦🇪United Arab Emirates\" h=21",
	162	+ "a \"🇨🇱Chile\" h=21",
	163	+ "a \"🇸🇦Saudi Arabia\" h=21",
	164	+ "a \"🇲🇳Mongolia\" h=21",
	165	+ "a \"🇿🇦South Africa\" h=21",
	166	+ "a \"🇩🇿Algeria\" h=21",
	167	+ "a \"🇿🇲Zambia\" h=21",
	168	+ "a \"🇵🇰Pakistan\" h=21"
	169	+ ],
	170	+ "tabBar": 57,
	171	+ "bodyPad": 56,
	172	+ "cls": 0,
	173	+ "errors": [],
	174	+ "file": "home-360.png"
	175	+ },
	176	+ {
	177	+ "path": "/countries",
	178	+ "width": 360,
	179	+ "overflow": 0,
	180	+ "wide": [],
	181	+ "small": [
	182	+ "a \"Skip to content\" 1x1",
	183	+ "a \"API\" 22x32"
	184	+ ],
	185	+ "smallH": [
	186	+ "a \"Skip to content\" h=1",
	187	+ "select \"NamePopulationGDP per capitaCo\" h=19",
	188	+ "a \"contact@spboucher.ai\" h=15",
	189	+ "a \"MacLustr\" h=15"
	190	+ ],
	191	+ "tabBar": 57,
	192	+ "bodyPad": 56,
	193	+ "cls": 0,
	194	+ "errors": [],
	195	+ "file": "countries-360.png"
	196	+ },
	197	+ {
	198	+ "path": "/countries/canada",
	199	+ "width": 360,
	200	+ "overflow": 0,
	201	+ "wide": [
	202	+ "li.snap-start right=444",
	203	+ "a.inline-flex.h-9.items-center right=444",
	204	+ "span.tnum.text-2xs.text-ink-3 right=434",
	205	+ "li.snap-start right=526",
	206	+ "a.inline-flex.h-9.items-center right=526",
	207	+ "span.tnum.text-2xs.text-ink-3 right=516",
	208	+ "li.snap-start right=612",
	209	+ "a.inline-flex.h-9.items-center right=612"
	210	+ ],
	211	+ "small": [
	212	+ "a \"Skip to content\" 1x1",
	213	+ "a \"API\" 22x32"
	214	+ ],
	215	+ "smallH": [
	216	+ "a \"Skip to content\" h=1",
	217	+ "a \"Internet users at a 10-year hi\" h=19",
	218	+ "a \"Learning poverty turned positi\" h=19",
	219	+ "a \"🇱🇺Luxembourg\" h=21",
	220	+ "a \"🇸🇪Sweden\" h=21",
	221	+ "a \"🇳🇷Nauru\" h=21",
	222	+ "a \"🇳🇴Norway\" h=21",
	223	+ "a \"🇨🇾Cyprus\" h=21",
	224	+ "a \"🇩🇪Germany\" h=21",
	225	+ "a \"🇳🇨New Caledonia\" h=21",
	226	+ "a \"🇬🇮Gibraltar\" h=21",
	227	+ "a \"🇺🇸 United States\" h=17"
	228	+ ],
	229	+ "tabBar": 57,
	230	+ "bodyPad": 56,
	231	+ "cls": 0,
	232	+ "errors": [],
	233	+ "file": "countries_canada-360.png"
	234	+ },
	235	+ {
	236	+ "path": "/countries/canada/economy",
	237	+ "width": 360,
	238	+ "overflow": 0,
	239	+ "wide": [
	240	+ "li.snap-start right=383",
	241	+ "a.inline-flex.h-9.items-center right=383",
	242	+ "li.snap-start right=445",
	243	+ "a.inline-flex.h-9.items-center right=445",
	244	+ "li.snap-start right=518",
	245	+ "a.inline-flex.h-9.items-center right=518",
	246	+ "li.snap-start right=597",
	247	+ "a.inline-flex.h-9.items-center right=597"
	248	+ ],
	249	+ "small": [
	250	+ "a \"Skip to content\" 1x1",
	251	+ "a \"REER\" 40x20",
	252	+ "a \"API\" 22x32"
	253	+ ],
	254	+ "smallH": [
	255	+ "a \"Skip to content\" h=1",
	256	+ "a \"Countries\" h=15",
	257	+ "a \"🇨🇦 Canada\" h=15",
	258	+ "a \"GDP (current US$)\" h=20",
	259	+ "a \"GDP, PPP (current internationa\" h=20",
	260	+ "a \"GDP per capita (current US$)\" h=20",
	261	+ "a \"Real GDP\" h=20",
	262	+ "a \"Industrial production index\" h=20",
	263	+ "a \"GDP growth\" h=20",
	264	+ "a \"GDP per capita growth\" h=20",
	265	+ "a \"Inflation\" h=20",
	266	+ "a \"Inflation, GDP deflator\" h=20"
	267	+ ],
	268	+ "tabBar": 57,
	269	+ "bodyPad": 56,
	270	+ "cls": 0,
	271	+ "errors": [],
	272	+ "file": "countries_canada_economy-360.png"
	273	+ },
	274	+ {
	275	+ "path": "/",
	276	+ "width": 375,
	277	+ "overflow": 0,
	278	+ "wide": [
	279	+ "li. right=501",
	280	+ "a.inline-flex.h-9.items-center right=501",
	281	+ "li. right=585",
	282	+ "a.inline-flex.h-9.items-center right=585",
	283	+ "li. right=690",
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	802	+ "a \"GDP (current US$)\" h=20",
	803	+ "a \"GDP, PPP (current internationa\" h=20",
	804	+ "a \"GDP per capita (current US$)\" h=20",
	805	+ "a \"GDP per capita, PPP (current i\" h=20",
	806	+ "a \"Real GDP\" h=20",
	807	+ "a \"Industrial production index\" h=20",
	808	+ "a \"GDP growth\" h=20",
	809	+ "a \"GDP per capita growth\" h=20",
	810	+ "a \"Inflation\" h=20"
	811	+ ],
	812	+ "tabBar": 57,
	813	+ "bodyPad": 56,
	814	+ "cls": 0,
	815	+ "errors": [],
	816	+ "file": "countries_canada_economy-430.png"
	817	+ },
	818	+ {
	819	+ "path": "/",
	820	+ "width": 1280,
	821	+ "overflow": 0,
	822	+ "wide": [],
	823	+ "small": [
	824	+ "a \"Skip to content\" 1x1",
	825	+ "a \"API\" 22x32"
	826	+ ],
	827	+ "smallH": [
	828	+ "a \"Skip to content\" h=1",
	829	+ "a \"See all →\" h=21",
	830	+ "a \"🇨🇦Canada\" h=21",
	831	+ "a \"🇰🇷South Korea\" h=21",
	832	+ "a \"🇦🇪United Arab Emirates\" h=21",
	833	+ "a \"🇨🇱Chile\" h=21",
	834	+ "a \"🇸🇦Saudi Arabia\" h=21",
	835	+ "a \"🇲🇳Mongolia\" h=21",
	836	+ "a \"🇿🇦South Africa\" h=21",
	837	+ "a \"🇩🇿Algeria\" h=21",
	838	+ "a \"🇿🇲Zambia\" h=21",
	839	+ "a \"🇵🇰Pakistan\" h=21"
	840	+ ],
	841	+ "tabBar": 0,
	842	+ "bodyPad": 0,
	843	+ "cls": 0,
	844	+ "errors": [],
	845	+ "file": "home-1280.png"
	846	+ },
	847	+ {
	848	+ "path": "/countries",
	849	+ "width": 1280,
	850	+ "overflow": 0,
	851	+ "wide": [],
	852	+ "small": [
	853	+ "a \"Skip to content\" 1x1",
	854	+ "button \"All\" 38x36",
	855	+ "button \"All\" 38x36",
	856	+ "a \"A\" 24x20",
	857	+ "a \"B\" 24x20",
	858	+ "a \"C\" 24x20",
	859	+ "a \"D\" 24x20",
	860	+ "a \"E\" 24x20",
	861	+ "a \"F\" 24x20",
	862	+ "a \"G\" 24x20"
	863	+ ],
	864	+ "smallH": [
	865	+ "a \"Skip to content\" h=1",
	866	+ "select \"NamePopulationGDP per capitaCo\" h=19",
	867	+ "a \"A\" h=20",
	868	+ "a \"B\" h=20",
	869	+ "a \"C\" h=20",
	870	+ "a \"D\" h=20",
	871	+ "a \"E\" h=20",
	872	+ "a \"F\" h=20",
	873	+ "a \"G\" h=20",
	874	+ "a \"H\" h=20",
	875	+ "a \"I\" h=20",
	876	+ "a \"J\" h=20"
	877	+ ],
	878	+ "tabBar": 0,
	879	+ "bodyPad": 0,
	880	+ "cls": 0,
	881	+ "errors": [],
	882	+ "file": "countries-1280.png"
	883	+ },
	884	+ {
	885	+ "path": "/countries/canada",
	886	+ "width": 1280,
	887	+ "overflow": 0,
	888	+ "wide": [
	889	+ "li.snap-start right=1311",
	890	+ "a.inline-flex.h-9.items-center right=1311",
	891	+ "span.tnum.text-2xs.text-ink-3 right=1301",
	892	+ "li.snap-start right=1438",
	893	+ "a.inline-flex.h-9.items-center right=1438",
	894	+ "span.tnum.text-2xs.text-ink-3 right=1428",
	895	+ "li.snap-start right=1516",
	896	+ "a.inline-flex.h-9.items-center right=1516"
	897	+ ],
	898	+ "small": [
	899	+ "a \"Skip to content\" 1x1",
	900	+ "a \"API\" 22x32"
	901	+ ],
	902	+ "smallH": [
	903	+ "a \"Skip to content\" h=1",
	904	+ "a \"Exports of goods and services \" h=19",
	905	+ "a \"Internet users at a 10-year hi\" h=19",
	906	+ "a \"Gross debt / GDP accelerating \" h=19",
	907	+ "a \"ICT goods exports (% of total \" h=19",
	908	+ "a \"Imports of goods and services \" h=19",
	909	+ "a \"Industrial production index hi\" h=19",
	910	+ "a \"Learning poverty turned positi\" h=19",
	911	+ "a \"🇱🇺Luxembourg\" h=21",
	912	+ "a \"🇸🇪Sweden\" h=21",
	913	+ "a \"🇳🇷Nauru\" h=21",
	914	+ "a \"🇳🇴Norway\" h=21"
	915	+ ],
	916	+ "tabBar": 0,
	917	+ "bodyPad": 0,
	918	+ "cls": 0,
	919	+ "errors": [],
	920	+ "file": "countries_canada-1280.png"
	921	+ },
	922	+ {
	923	+ "path": "/countries/canada/economy",
	924	+ "width": 1280,
	925	+ "overflow": 0,
	926	+ "wide": [
	927	+ "li.snap-start right=1347",
	928	+ "a.inline-flex.h-9.items-center right=1347",
	929	+ "li.snap-start right=1444",
	930	+ "a.inline-flex.h-9.items-center right=1444",
	931	+ "li.snap-start right=1521",
	932	+ "a.inline-flex.h-9.items-center right=1521",
	933	+ "li.snap-start right=1600",
	934	+ "a.inline-flex.h-9.items-center right=1600"
	935	+ ],
	936	+ "small": [
	937	+ "a \"Skip to content\" 1x1",
	938	+ "a \"REER\" 40x20",
	939	+ "a \"API\" 22x32"
	940	+ ],
	941	+ "smallH": [
	942	+ "a \"Skip to content\" h=1",
	943	+ "a \"Countries\" h=15",
	944	+ "a \"🇨🇦 Canada\" h=15",
	945	+ "a \"GDP (current US$)\" h=20",
	946	+ "a \"GDP, PPP (current internationa\" h=20",
	947	+ "a \"GDP per capita (current US$)\" h=20",
	948	+ "a \"Real GDP\" h=20",
	949	+ "a \"Industrial production index\" h=20",
	950	+ "a \"GDP growth\" h=20",
	951	+ "a \"GDP per capita growth\" h=20",
	952	+ "a \"Inflation\" h=20",
	953	+ "a \"Inflation, GDP deflator\" h=20"
	954	+ ],
	955	+ "tabBar": 0,
	956	+ "bodyPad": 0,
	957	+ "cls": 0,
	958	+ "errors": [],
	959	+ "file": "countries_canada_economy-1280.png"
	960	+ },
	961	+ {
	962	+ "path": "/",
	963	+ "width": 1440,
	964	+ "overflow": 0,
	965	+ "wide": [],
	966	+ "small": [
	967	+ "a \"Skip to content\" 1x1",
	968	+ "a \"API\" 22x32"
	969	+ ],
	970	+ "smallH": [
	971	+ "a \"Skip to content\" h=1",
	972	+ "a \"See all →\" h=21",
	973	+ "a \"🇨🇦Canada\" h=21",
	974	+ "a \"🇰🇷South Korea\" h=21",
	975	+ "a \"🇦🇪United Arab Emirates\" h=21",
	976	+ "a \"🇨🇱Chile\" h=21",
	977	+ "a \"🇸🇦Saudi Arabia\" h=21",
	978	+ "a \"🇲🇳Mongolia\" h=21",
	979	+ "a \"🇿🇦South Africa\" h=21",
	980	+ "a \"🇩🇿Algeria\" h=21",
	981	+ "a \"🇿🇲Zambia\" h=21",
	982	+ "a \"🇵🇰Pakistan\" h=21"
	983	+ ],
	984	+ "tabBar": 0,
	985	+ "bodyPad": 0,
	986	+ "cls": 0,
	987	+ "errors": [],
	988	+ "file": "home-1440.png"
	989	+ },
	990	+ {
	991	+ "path": "/countries",
	992	+ "width": 1440,
	993	+ "overflow": 0,
	994	+ "wide": [],
	995	+ "small": [
	996	+ "a \"Skip to content\" 1x1",
	997	+ "button \"All\" 38x36",
	998	+ "button \"All\" 38x36",
	999	+ "a \"A\" 24x20",
	1000	+ "a \"B\" 24x20",
	1001	+ "a \"C\" 24x20",
	1002	+ "a \"D\" 24x20",
	1003	+ "a \"E\" 24x20",
	1004	+ "a \"F\" 24x20",
	1005	+ "a \"G\" 24x20"
	1006	+ ],
	1007	+ "smallH": [
	1008	+ "a \"Skip to content\" h=1",
	1009	+ "select \"NamePopulationGDP per capitaCo\" h=19",
	1010	+ "a \"A\" h=20",
	1011	+ "a \"B\" h=20",
	1012	+ "a \"C\" h=20",
	1013	+ "a \"D\" h=20",
	1014	+ "a \"E\" h=20",
	1015	+ "a \"F\" h=20",
	1016	+ "a \"G\" h=20",
	1017	+ "a \"H\" h=20",
	1018	+ "a \"I\" h=20",
	1019	+ "a \"J\" h=20"
	1020	+ ],
	1021	+ "tabBar": 0,
	1022	+ "bodyPad": 0,
	1023	+ "cls": 0,
	1024	+ "errors": [],
	1025	+ "file": "countries-1440.png"
	1026	+ },
	1027	+ {
	1028	+ "path": "/countries/canada",
	1029	+ "width": 1440,
	1030	+ "overflow": 0,
	1031	+ "wide": [
	1032	+ "li.snap-start right=1458",
	1033	+ "a.inline-flex.h-9.items-center right=1458",
	1034	+ "span.tnum.text-2xs.text-ink-3 right=1448",
	1035	+ "li.snap-start right=1536",
	1036	+ "a.inline-flex.h-9.items-center right=1536",
	1037	+ "span.tnum.text-2xs.text-ink-3 right=1526",
	1038	+ "li.snap-start right=1642",
	1039	+ "a.inline-flex.h-9.items-center right=1642"
	1040	+ ],
	1041	+ "small": [
	1042	+ "a \"Skip to content\" 1x1",
	1043	+ "a \"API\" 22x32"
	1044	+ ],
	1045	+ "smallH": [
	1046	+ "a \"Skip to content\" h=1",
	1047	+ "a \"Exports of goods and services \" h=19",
	1048	+ "a \"Internet users at a 10-year hi\" h=19",
	1049	+ "a \"Gross debt / GDP accelerating \" h=19",
	1050	+ "a \"ICT goods exports (% of total \" h=19",
	1051	+ "a \"High-technology exports (curre\" h=19",
	1052	+ "a \"Imports of goods and services \" h=19",
	1053	+ "a \"Industrial production index hi\" h=19",
	1054	+ "a \"Learning poverty turned positi\" h=19",
	1055	+ "a \"🇱🇺Luxembourg\" h=21",
	1056	+ "a \"🇸🇪Sweden\" h=21",
	1057	+ "a \"🇳🇷Nauru\" h=21"
	1058	+ ],
	1059	+ "tabBar": 0,
	1060	+ "bodyPad": 0,
	1061	+ "cls": 0,
	1062	+ "errors": [],
	1063	+ "file": "countries_canada-1440.png"
	1064	+ },
	1065	+ {
	1066	+ "path": "/countries/canada/economy",
	1067	+ "width": 1440,
	1068	+ "overflow": 0,
	1069	+ "wide": [
	1070	+ "li.snap-start right=1464",
	1071	+ "a.inline-flex.h-9.items-center right=1464",
	1072	+ "li.snap-start right=1541",
	1073	+ "a.inline-flex.h-9.items-center right=1541",
	1074	+ "li.snap-start right=1620",
	1075	+ "a.inline-flex.h-9.items-center right=1620",
	1076	+ "li.snap-start right=1731",
	1077	+ "a.inline-flex.h-9.items-center right=1731"
	1078	+ ],
	1079	+ "small": [
	1080	+ "a \"Skip to content\" 1x1",
	1081	+ "a \"REER\" 40x20",
	1082	+ "a \"API\" 22x32"
	1083	+ ],
	1084	+ "smallH": [
	1085	+ "a \"Skip to content\" h=1",
	1086	+ "a \"Countries\" h=15",
	1087	+ "a \"🇨🇦 Canada\" h=15",
	1088	+ "a \"GDP (current US$)\" h=20",
	1089	+ "a \"GDP, PPP (current internationa\" h=20",
	1090	+ "a \"GDP per capita (current US$)\" h=20",
	1091	+ "a \"Real GDP\" h=20",
	1092	+ "a \"Industrial production index\" h=20",
	1093	+ "a \"GDP growth\" h=20",
	1094	+ "a \"GDP per capita growth\" h=20",
	1095	+ "a \"Inflation\" h=20",
	1096	+ "a \"Inflation, GDP deflator\" h=20"
	1097	+ ],
	1098	+ "tabBar": 0,
	1099	+ "bodyPad": 0,
	1100	+ "cls": 0,
	1101	+ "errors": [],
	1102	+ "file": "countries_canada_economy-1440.png"
	1103	+ }
	1104	+]
		\ No newline at end of file

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added apps/web/qa/segments.mjs +28 −0

		`@@ -0,0 +1,28 @@`
	1	+// Viewport-sized segments for visual review (top of page + scroll offsets).
	2	+import { chromium } from 'playwright';
	3	+const BASE = process.argv[2] ?? 'http://localhost:8290';
	4	+const OUT = new URL('./screens/seg/', import.meta.url).pathname;
	5	+import { mkdirSync } from 'node:fs';
	6	+mkdirSync(OUT, { recursive: true });
	7	+const PAGES = ['/', '/countries', '/countries/canada', '/countries/canada/economy'];
	8	+const browser = await chromium.launch();
	9	+for (const width of [390, 1440]) {
	10	+ const mobile = width < 768;
	11	+ const ctx = await browser.newContext({ viewport: { width, height: mobile ? 844 : 900 }, isMobile: mobile, hasTouch: mobile });
	12	+ const page = await ctx.newPage();
	13	+ for (const path of PAGES) {
	14	+ await page.goto(BASE + path, { waitUntil: 'networkidle' });
	15	+ await page.evaluate(() => document.fonts.ready);
	16	+ const h = await page.evaluate(() => document.documentElement.scrollHeight);
	17	+ const vh = mobile ? 844 : 900;
	18	+ const offsets = [0, Math.round(h * 0.25), Math.round(h * 0.5), Math.round(h * 0.75), h - vh].filter((o, i, a) => a.indexOf(o) === i);
	19	+ const name = path === '/' ? 'home' : path.slice(1).replace(/\//g, '_');
	20	+ for (const [i, o] of offsets.entries()) {
	21	+ await page.evaluate((y) => window.scrollTo(0, y), o);
	22	+ await page.waitForTimeout(400);
	23	+ await page.screenshot({ path: `${OUT}${name}-${width}-${i}.png` });
	24	+ }
	25	+ }
	26	+ await ctx.close();
	27	+}
	28	+await browser.close();

added apps/web/src/app/(home)/loading.tsx +20 −0

		`@@ -0,0 +1,20 @@`
	1	+import { t } from '@/i18n';
	2	+
	3	+/** Root loading UI: a calm, low-contrast skeleton with reserved heights (no spinner, no layout jump). */
	4	+export default function Loading() {
	5	+ return (
	6	+ <div className="animate-fade py-8" aria-busy="true" aria-label={t('common.loading')}>
	7	+ <div className="h-8 w-2/3 max-w-md rounded-sm bg-surface-2" />
	8	+ <div className="mt-3 h-4 w-1/2 max-w-sm rounded-sm bg-surface-2" />
	9	+ <div className="mt-8 grid gap-6 min-[361px]:grid-cols-2 md:grid-cols-4">
	10	+ {Array.from({ length: 8 }, (_, i) => (
	11	+ <div key={i} className="border-t border-rule pt-3">
	12	+ <div className="h-3 w-24 rounded-sm bg-surface-2" />
	13	+ <div className="mt-3 h-7 w-28 rounded-sm bg-surface-2" />
	14	+ <div className="mt-2 h-3 w-20 rounded-sm bg-surface-2" />
	15	+ </div>
	16	+ ))}
	17	+ </div>
	18	+ </div>
	19	+ );
	20	+}

renamed apps/web/src/app/page.tsx → apps/web/src/app/(home)/page.tsx +0 −0

added apps/web/src/app/apple-icon.png +0 −0

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added apps/web/src/app/countries/(list)/loading.tsx +20 −0

		`@@ -0,0 +1,20 @@`
	1	+import { t } from '@/i18n';
	2	+
	3	+/** Root loading UI: a calm, low-contrast skeleton with reserved heights (no spinner, no layout jump). */
	4	+export default function Loading() {
	5	+ return (
	6	+ <div className="animate-fade py-8" aria-busy="true" aria-label={t('common.loading')}>
	7	+ <div className="h-8 w-2/3 max-w-md rounded-sm bg-surface-2" />
	8	+ <div className="mt-3 h-4 w-1/2 max-w-sm rounded-sm bg-surface-2" />
	9	+ <div className="mt-8 grid gap-6 min-[361px]:grid-cols-2 md:grid-cols-4">
	10	+ {Array.from({ length: 8 }, (_, i) => (
	11	+ <div key={i} className="border-t border-rule pt-3">
	12	+ <div className="h-3 w-24 rounded-sm bg-surface-2" />
	13	+ <div className="mt-3 h-7 w-28 rounded-sm bg-surface-2" />
	14	+ <div className="mt-2 h-3 w-20 rounded-sm bg-surface-2" />
	15	+ </div>
	16	+ ))}
	17	+ </div>
	18	+ </div>
	19	+ );
	20	+}

renamed apps/web/src/app/countries/page.tsx → apps/web/src/app/countries/(list)/page.tsx +0 −0

added apps/web/src/app/countries/[slug]/[topic]/page.tsx +137 −0

		`@@ -0,0 +1,137 @@`
	1	+import type { Metadata } from 'next';
	2	+import Link from 'next/link';
	3	+import { notFound } from 'next/navigation';
	4	+import { t } from '@/i18n';
	5	+import { api, isNotBuilt, isNotFound, safe } from '@/lib/api';
	6	+import { routes } from '@/lib/site';
	7	+import { TOPICS, isTopicId, topicById } from '@/lib/topics';
	8	+import type { CountryTopicResponse, MetricValue, SeriesResponse } from '@/lib/types';
	9	+import { IndicatorRow } from '@/components/country/indicator-row';
	10	+import { NotBuiltState } from '@/components/data/empty-state';
	11	+import { Section } from '@/components/data/section';
	12	+import { TopicNav } from '@/components/data/topic-nav';
	13	+
	14	+export const revalidate = 900;
	15	+
	16	+type Params = { slug: string; topic: string };
	17	+const EAGER = 4; // charts rendered with server-fetched full history; the rest mount on scroll
	18	+
	19	+async function load(slug: string, topic: string): Promise<CountryTopicResponse \| 'not-built' \| null> {
	20	+ if (!isTopicId(topic)) return null;
	21	+ try {
	22	+ return await api.countryTopic(slug, topic);
	23	+ } catch (e) {
	24	+ if (isNotFound(e)) return null;
	25	+ if (isNotBuilt(e)) return 'not-built';
	26	+ throw e;
	27	+ }
	28	+}
	29	+
	30	+export async function generateMetadata({ params }: { params: Promise<Params> }): Promise<Metadata> {
	31	+ const { slug, topic } = await params;
	32	+ const data = await load(slug, topic);
	33	+ if (!data \|\| data === 'not-built') return { title: t('topic.notFound'), robots: { index: false } };
	34	+ const country = data.country.name ?? slug;
	35	+ const list = data.subtopics
	36	+ .flatMap((b) => b.indicators)
	37	+ .slice(0, 4)
	38	+ .map((m) => (m.indicator_name ?? m.indicator).toLowerCase())
	39	+ .join(', ');
	40	+ const title = t('topic.title', { country, topic: data.topic.name });
	41	+ const canonical = routes.countryTopic(data.country.slug ?? slug, topic);
	42	+ return {
	43	+ title,
	44	+ description: t('topic.description', { topic: data.topic.name, country, list }),
	45	+ alternates: { canonical },
	46	+ openGraph: { title: `${title} — ${t('site.name')}`, url: canonical, type: 'article' },
	47	+ };
	48	+}
	49	+
	50	+export default async function CountryTopicPage({ params }: { params: Promise<Params> }) {
	51	+ const { slug, topic } = await params;
	52	+ const data = await load(slug, topic);
	53	+ if (data === null) notFound();
	54	+ if (data === 'not-built') return <NotBuiltState />;
	55	+
	56	+ const c = data.country;
	57	+ const countryRef = { id: c.id, slug: c.slug ?? slug, name: c.name ?? c.id, flag: c.flag };
	58	+ const all = data.subtopics.flatMap((b) => b.indicators);
	59	+ const withData = all.filter((m) => m.has_data);
	60	+ const noData = all.filter((m) => !m.has_data);
	61	+ const eagerIds = withData.slice(0, EAGER).map((m) => m.indicator);
	62	+ const eagerSeries = await Promise.all(eagerIds.map((iid) => safe(api.countrySeries(c.id, iid))));
	63	+ const seriesById = new Map<string, SeriesResponse \| null>(eagerIds.map((iid, i) => [iid, eagerSeries[i] ?? null]));
	64	+ const def = topicById(topic);
	65	+ const others = TOPICS.filter((tp) => tp.id !== topic);
	66	+
	67	+ return (
	68	+ <>
	69	+ <header className="pb-3 pt-6 md:pt-10">
	70	+ <nav aria-label="Breadcrumb" className="text-xs text-ink-3">
	71	+ <Link href={routes.countries()} className="hover:text-accent">
	72	+ {t('nav.countries')}
	73	+ </Link>
	74	+ <span className="mx-1.5">/</span>
	75	+ <Link href={routes.country(countryRef.slug)} className="hover:text-accent">
	76	+ <span aria-hidden>{c.flag} </span>
	77	+ {countryRef.name}
	78	+ </Link>
	79	+ </nav>
	80	+ <h1 className="display mt-2 text-3xl leading-tight text-ink md:text-4xl">
	81	+ {countryRef.name} <span className="text-ink-3">·</span> {data.topic.name}
	82	+ </h1>
	83	+ <p className="mt-2 max-w-prose text-sm text-ink-2 md:text-base">{data.topic.blurb ?? def?.blurb}</p>
	84	+ <p className="tnum mt-1 text-xs text-ink-3">
	85	+ {t('topic.indicators', { n: data.n_indicators })} · {t('topic.withData', { n: data.n_with_data })}
	86	+ </p>
	87	+ </header>
	88	+ <TopicNav slug={countryRef.slug} />
	89	+
	90	+ {data.subtopics.map((block) => {
	91	+ const rows = block.indicators.filter((m) => m.has_data);
	92	+ if (rows.length === 0) return null;
	93	+ return (
	94	+ <Section key={block.subtopic} id={`sub-${block.subtopic.toLowerCase().replace(/\W+/g, '-')}`} title={block.subtopic} level={3} tight className="pb-2">
	95	+ <div>
	96	+ {rows.map((m: MetricValue) => (
	97	+ <IndicatorRow key={m.indicator} metric={m} country={countryRef} regionName={c.region_name} series={seriesById.get(m.indicator)} eager={seriesById.has(m.indicator)} />
	98	+ ))}
	99	+ </div>
	100	+ </Section>
	101	+ );
	102	+ })}
	103	+
	104	+ {noData.length ? (
	105	+ <details className="hairline group py-4">
	106	+ <summary className="flex min-h-[44px] cursor-pointer list-none items-center gap-2 text-sm font-medium text-ink-2 hover:text-ink">
	107	+ <span className="inline-block transition-transform group-open:rotate-90">›</span>
	108	+ {t('topic.noData', { n: noData.length })}
	109	+ </summary>
	110	+ <p className="mt-1 text-xs text-ink-3">{t('topic.noDataHint', { country: countryRef.name })}</p>
	111	+ <ul className="mt-2 grid gap-x-6 sm:grid-cols-2 lg:grid-cols-3">
	112	+ {noData.map((m) => (
	113	+ <li key={m.indicator} className="flex justify-between gap-3 border-t border-rule py-2 text-sm">
	114	+ <Link href={routes.indicator(m.indicator)} className="link-quiet truncate text-ink-2">
	115	+ {m.indicator_name ?? m.indicator}
	116	+ </Link>
	117	+ <span className="shrink-0 text-xs text-ink-3">{t('common.noData')}</span>
	118	+ </li>
	119	+ ))}
	120	+ </ul>
	121	+ </details>
	122	+ ) : null}
	123	+
	124	+ <Section id="other-topics" title={t('topic.otherTopics')} level={3} tight>
	125	+ <ul className="flex flex-wrap gap-1.5">
	126	+ {others.map((tp) => (
	127	+ <li key={tp.id}>
	128	+ <Link href={routes.countryTopic(countryRef.slug, tp.id)} className="inline-flex h-9 items-center rounded-sm border border-rule px-2.5 text-sm text-ink-2 hover:border-accent hover:text-accent">
	129	+ {tp.short}
	130	+ </Link>
	131	+ </li>
	132	+ ))}
	133	+ </ul>
	134	+ </Section>
	135	+ </>
	136	+ );
	137	+}

added apps/web/src/app/countries/[slug]/opengraph-image.tsx +48 −0

		`@@ -0,0 +1,48 @@`
	1	+import { ImageResponse } from 'next/og';
	2	+import { t } from '@/i18n';
	3	+import { api, safe } from '@/lib/api';
	4	+import { OG_INK2, OG_INK3, OG_RULE, OG_SIZE_H, OG_SIZE_W, OgFrame, OgWordmark } from '../../og-shared';
	5	+
	6	+export const alt = 'Country statistics on CountryAtlas';
	7	+export const size = { width: OG_SIZE_W, height: OG_SIZE_H };
	8	+export const contentType = 'image/png';
	9	+export const revalidate = 3600;
	10	+
	11	+/** Per-country social image: flag + name + three headline values (population, GDP per capita, life expectancy). */
	12	+export default async function CountryOgImage({ params }: { params: Promise<{ slug: string }> }) {
	13	+ const { slug } = await params;
	14	+ const data = await safe(api.country(slug));
	15	+ const c = data?.country;
	16	+ const name = c?.name ?? slug.replace(/-/g, ' ');
	17	+ const pick = (id: string) => data?.headline.find((m) => m.indicator === id && m.has_data) ?? null;
	18	+ const facts = [pick('population'), pick('gdp-per-capita'), pick('life-expectancy')].filter((m): m is NonNullable<typeof m> => !!m).slice(0, 3);
	19	+ const sub = [c?.capital, c?.region_name, c?.income_name].filter(Boolean).join(' · ');
	20	+ return new ImageResponse(
	21	+ (
	22	+ <OgFrame>
	23	+ <OgWordmark size={28} />
	24	+ <div style={{ display: 'flex', alignItems: 'center', gap: 28, marginTop: 56 }}>
	25	+ <div style={{ fontSize: 120, lineHeight: 1, display: 'flex' }}>{c?.flag ?? ''}</div>
	26	+ <div style={{ display: 'flex', flexDirection: 'column' }}>
	27	+ <div style={{ fontSize: 68, fontWeight: 600, letterSpacing: -1.5, lineHeight: 1.05 }}>{name}</div>
	28	+ {sub ? <div style={{ marginTop: 10, fontSize: 24, color: OG_INK2 }}>{sub}</div> : null}
	29	+ </div>
	30	+ </div>
	31	+ <div style={{ display: 'flex', gap: 48, marginTop: 'auto', paddingTop: 24, borderTop: `1px solid ${OG_RULE}` }}>
	32	+ {facts.length === 0 ? (
	33	+ <div style={{ fontSize: 24, color: OG_INK2 }}>{t('country.description', { name }).split(':')[1]?.trim() ?? ''}</div>
	34	+ ) : null}
	35	+ {facts.map((m) => (
	36	+ <div key={m.indicator} style={{ display: 'flex', flexDirection: 'column' }}>
	37	+ <div style={{ fontSize: 18, color: OG_INK3, textTransform: 'uppercase', letterSpacing: 1.5 }}>{m.indicator_name ?? m.indicator}</div>
	38	+ <div style={{ fontSize: 44, fontWeight: 600, marginTop: 6 }}>{m.formatted ?? String(m.value ?? '')}</div>
	39	+ <div style={{ fontSize: 18, color: OG_INK3, marginTop: 2 }}>{String(m.year ?? '')}</div>
	40	+ </div>
	41	+ ))}
	42	+ </div>
	43	+ <div style={{ position: 'absolute', right: 64, bottom: 24, fontSize: 20, color: OG_INK3 }}>{t('og.site')}</div>
	44	+ </OgFrame>
	45	+ ),
	46	+ { ...size },
	47	+ );
	48	+}

added apps/web/src/app/countries/[slug]/page.tsx +135 −0

		`@@ -0,0 +1,135 @@`
	1	+import type { Metadata } from 'next';
	2	+import Link from 'next/link';
	3	+import { notFound } from 'next/navigation';
	4	+import { t } from '@/i18n';
	5	+import { api, isNotBuilt, isNotFound, safe } from '@/lib/api';
	6	+import { routes } from '@/lib/site';
	7	+import { HEADLINE_TOPIC, type HEADLINE_INDICATORS } from '@/lib/topics';
	8	+import type { CountryResponse } from '@/lib/types';
	9	+import { DnaRadial } from '@/components/charts/dna-radial';
	10	+import { CountryHeader } from '@/components/country/country-header';
	11	+import { KeyFacts } from '@/components/country/key-facts';
	12	+import { SimilarPanel } from '@/components/country/similar-panel';
	13	+import { Timeline } from '@/components/country/timeline';
	14	+import { CountryTopicsGrid } from '@/components/country/topics-grid';
	15	+import { ChangeList } from '@/components/data/change-list';
	16	+import { NotBuiltState } from '@/components/data/empty-state';
	17	+import { Metric, MetricGrid } from '@/components/data/metric';
	18	+import { Section } from '@/components/data/section';
	19	+import { TopicNav } from '@/components/data/topic-nav';
	20	+
	21	+export const revalidate = 900;
	22	+
	23	+type Params = { slug: string };
	24	+
	25	+async function loadCountry(slug: string): Promise<CountryResponse \| 'not-built' \| null> {
	26	+ try {
	27	+ return await api.country(slug);
	28	+ } catch (e) {
	29	+ if (isNotFound(e)) return null;
	30	+ if (isNotBuilt(e)) return 'not-built';
	31	+ throw e;
	32	+ }
	33	+}
	34	+
	35	+export async function generateMetadata({ params }: { params: Promise<Params> }): Promise<Metadata> {
	36	+ const { slug } = await params;
	37	+ const data = await loadCountry(slug);
	38	+ if (!data \|\| data === 'not-built') return { title: t('country.notFound'), robots: { index: false } };
	39	+ const name = data.country.name ?? slug;
	40	+ const title = t('country.title', { name });
	41	+ const description = t('country.description', { name });
	42	+ const canonical = routes.country(data.country.slug ?? slug);
	43	+ return {
	44	+ title,
	45	+ description,
	46	+ alternates: { canonical },
	47	+ openGraph: { title: `${title} — ${t('site.name')}`, description, url: canonical, type: 'article' },
	48	+ twitter: { card: 'summary_large_image', title, description },
	49	+ };
	50	+}
	51	+
	52	+export default async function CountryPage({ params }: { params: Promise<Params> }) {
	53	+ const { slug } = await params;
	54	+ const data = await loadCountry(slug);
	55	+ if (data === null) notFound();
	56	+ if (data === 'not-built') return <NotBuiltState />;
	57	+
	58	+ const c = data.country;
	59	+ const id = c.id;
	60	+ const name = c.name ?? id;
	61	+ const countryRef = { id, slug: c.slug ?? slug, name, flag: c.flag };
	62	+ // Optional panels in parallel; each tolerates failure independently.
	63	+ const [changes, similar, insights, dna, events] = await Promise.all([
	64	+ safe(api.countryChanges(id, 8)),
	65	+ safe(api.countrySimilar(id, 'overall', 8)),
	66	+ safe(api.countryInsights(id)),
	67	+ safe(api.countryDna(id)),
	68	+ safe(api.countryEvents(id, 30)),
	69	+ ]);
	70	+ const counts = Object.fromEntries(data.topics.map((tp) => [tp.id, tp.n_with_data]));
	71	+ const withData = data.topics.reduce((a, tp) => a + tp.n_with_data, 0);
	72	+
	73	+ return (
	74	+ <>
	75	+ <CountryHeader data={data} />
	76	+ <TopicNav slug={c.slug ?? slug} counts={counts} />
	77	+
	78	+ <Section id="headline" title={t('country.headline.title')} subtitle={t('country.headline.sub')} className="border-t-0">
	79	+ <MetricGrid>
	80	+ {data.headline.map((m) => {
	81	+ const topic = HEADLINE_TOPIC[m.indicator as (typeof HEADLINE_INDICATORS)[number]];
	82	+ return <Metric key={m.indicator} metric={m} country={countryRef} regionName={c.region_name} href={topic ? routes.countryIndicator(c.slug ?? slug, topic, m.indicator) : null} />;
	83	+ })}
	84	+ </MetricGrid>
	85	+ </Section>
	86	+
	87	+ <div className="grid gap-x-10 lg:grid-cols-2">
	88	+ <Section id="changes" title={t('country.changes.title', { name })} subtitle={t('country.changes.sub')}>
	89	+ <ChangeList items={changes?.items ?? []} />
	90	+ </Section>
	91	+ <Section id="similar" title={t('country.similar.title', { name })} subtitle={t('country.similar.sub')}>
	92	+ <SimilarPanel countryId={id} initial={similar} />
	93	+ </Section>
	94	+ </div>
	95	+
	96	+ <div className="grid gap-x-10 lg:grid-cols-[minmax(0,2fr)_minmax(0,3fr)]">
	97	+ <Section id="dna" title={t('country.dna.title')} subtitle={t('country.dna.sub')}>
	98	+ <DnaRadial dna={dna} name={name} size={360} />
	99	+ {dna?.year_ref ? <p className="tnum mt-2 text-center text-2xs text-ink-3">{dna.year_ref}</p> : null}
	100	+ </Section>
	101	+ <Section id="facts" title={t('country.facts.title')} subtitle={t('country.facts.sub')}>
	102	+ <KeyFacts items={insights?.items ?? []} country={countryRef} />
	103	+ {data.neighbours.length ? (
	104	+ <p className="mt-4 text-sm text-ink-2">
	105	+ <span className="text-ink-3">{t('country.borders')}: </span>
	106	+ {data.neighbours.map((n, i) => (
	107	+ <span key={n.id}>
	108	+ {i > 0 ? ', ' : ''}
	109	+ <Link href={routes.country(n.slug ?? n.id)} className="link-quiet text-ink hover:text-accent">
	110	+ <span aria-hidden>{n.flag} </span>
	111	+ {n.name}
	112	+ </Link>
	113	+ </span>
	114	+ ))}
	115	+ </p>
	116	+ ) : null}
	117	+ {c.languages?.length ? (
	118	+ <p className="mt-1 text-sm text-ink-2">
	119	+ <span className="text-ink-3">{t('country.languages')}: </span>
	120	+ {c.languages.join(', ')}
	121	+ </p>
	122	+ ) : null}
	123	+ </Section>
	124	+ </div>
	125	+
	126	+ <Section id="timeline" title={t('country.timeline.title')} subtitle={t('country.timeline.sub')}>
	127	+ <Timeline items={events?.items ?? []} slug={c.slug ?? slug} />
	128	+ </Section>
	129	+
	130	+ <Section id="topics" title={t('country.topics.title', { name })} subtitle={t('country.topics.sub', { n: data.topics.length, m: withData })}>
	131	+ <CountryTopicsGrid slug={c.slug ?? slug} topics={data.topics} />
	132	+ </Section>
	133	+ </>
	134	+ );
	135	+}

added apps/web/src/app/error.tsx +20 −0

		`@@ -0,0 +1,20 @@`
	1	+'use client';
	2	+import { useEffect } from 'react';
	3	+import { t } from '@/i18n';
	4	+
	5	+export default function ErrorPage({ error, reset }: { error: Error & { digest?: string }; reset: () => void }) {
	6	+ useEffect(() => {
	7	+ console.error(error);
	8	+ }, [error]);
	9	+ return (
	10	+ <div className="mx-auto max-w-prose py-20 text-center">
	11	+ <div className="eyebrow">{t('site.name')}</div>
	12	+ <h1 className="display mt-2 text-3xl text-ink">{t('common.errorTitle')}</h1>
	13	+ <p className="mt-3 text-ink-2">{t('common.errorHint')}</p>
	14	+ {error.digest ? <p className="tnum mt-2 text-2xs text-ink-3">{error.digest}</p> : null}
	15	+ <button type="button" onClick={reset} className="mt-6 inline-flex h-10 items-center rounded-sm bg-ink px-4 text-sm font-medium text-paper hover:bg-accent hover:text-accent-ink">
	16	+ {t('common.retry')}
	17	+ </button>
	18	+ </div>
	19	+ );
	20	+}

added apps/web/src/app/icon.png +0 −0

Binary file not shown.

added apps/web/src/app/not-found.tsx +21 −0

		`@@ -0,0 +1,21 @@`
	1	+import Link from 'next/link';
	2	+import { t } from '@/i18n';
	3	+import { routes } from '@/lib/site';
	4	+
	5	+export default function NotFound() {
	6	+ return (
	7	+ <div className="mx-auto max-w-prose py-20 text-center">
	8	+ <div className="eyebrow">404</div>
	9	+ <h1 className="display mt-2 text-3xl text-ink">{t('common.notFound')}</h1>
	10	+ <p className="mt-3 text-ink-2">{t('common.notFoundHint')}</p>
	11	+ <div className="mt-6 flex flex-wrap justify-center gap-3 text-sm">
	12	+ <Link href={routes.countries()} className="inline-flex h-10 items-center rounded-sm bg-ink px-4 font-medium text-paper hover:bg-accent hover:text-accent-ink">
	13	+ {t('common.browseCountries')}
	14	+ </Link>
	15	+ <Link href={routes.home()} className="inline-flex h-10 items-center rounded-sm border border-rule px-4 text-ink hover:bg-surface-2">
	16	+ {t('common.goHome')}
	17	+ </Link>
	18	+ </div>
	19	+ </div>
	20	+ );
	21	+}

added apps/web/src/app/og-shared.tsx +3 −0

		`@@ -0,0 +1,3 @@`
	1	+export * from '@/lib/og';
	2	+export const OG_SIZE_W = 1200;
	3	+export const OG_SIZE_H = 630;

added apps/web/src/app/opengraph-image.tsx +24 −0

		`@@ -0,0 +1,24 @@`
	1	+import { ImageResponse } from 'next/og';
	2	+import { t } from '@/i18n';
	3	+import { OG_INK2, OG_INK3, OG_SIZE_H, OG_SIZE_W, OgFrame, OgWordmark } from './og-shared';
	4	+
	5	+export const alt = 'CountryAtlas — Understand the world, one country at a time.';
	6	+export const size = { width: OG_SIZE_W, height: OG_SIZE_H };
	7	+export const contentType = 'image/png';
	8	+
	9	+/** Default social image: dark editorial background, mark + wordmark, tagline, meridian motif. Static (built once). */
	10	+export default function OpenGraphImage() {
	11	+ return new ImageResponse(
	12	+ (
	13	+ <OgFrame>
	14	+ <OgWordmark size={40} />
	15	+ <div style={{ display: 'flex', flexDirection: 'column', marginTop: 'auto', maxWidth: 720 }}>
	16	+ <div style={{ fontSize: 62, lineHeight: 1.08, fontWeight: 600, letterSpacing: -1.5 }}>{t('home.hero.title')}</div>
	17	+ <div style={{ marginTop: 22, fontSize: 26, color: OG_INK2, lineHeight: 1.35 }}>{t('home.hero.sub')}</div>
	18	+ </div>
	19	+ <div style={{ position: 'absolute', left: 64, bottom: 24, fontSize: 20, color: OG_INK3 }}>{t('og.site')}</div>
	20	+ </OgFrame>
	21	+ ),
	22	+ { ...size },
	23	+ );
	24	+}

added apps/web/src/app/robots.ts +10 −0

		`@@ -0,0 +1,10 @@`
	1	+import type { MetadataRoute } from 'next';
	2	+import { SITE_URL } from '@/lib/site';
	3	+
	4	+export default function robots(): MetadataRoute.Robots {
	5	+ return {
	6	+ rules: [{ userAgent: '*', allow: '/', disallow: ['/admin', '/api/'] }],
	7	+ sitemap: `${SITE_URL}/sitemap.xml`,
	8	+ host: SITE_URL,
	9	+ };
	10	+}

added apps/web/src/app/sitemap.ts +26 −0

		`@@ -0,0 +1,26 @@`
	1	+import type { MetadataRoute } from 'next';
	2	+import { api, safe } from '@/lib/api';
	3	+import { SITE_URL, routes } from '@/lib/site';
	4	+import { TOPICS } from '@/lib/topics';
	5	+
	6	+/**
	7	+ * Countries + country topic pages from the API. The next agent adds indicators / rankings / regions entries
	8	+ * here (same pattern: fetch the list with `safe()`, map to URLs, tolerate an empty API).
	9	+ */
	10	+export default async function sitemap(): Promise<MetadataRoute.Sitemap> {
	11	+ const res = await safe(api.countries());
	12	+ const lastModified = res?.meta.built_at ? new Date(res.meta.built_at) : new Date();
	13	+ const staticEntries: MetadataRoute.Sitemap = [
	14	+ { url: SITE_URL, lastModified, changeFrequency: 'daily', priority: 1 },
	15	+ { url: `${SITE_URL}${routes.countries()}`, lastModified, changeFrequency: 'daily', priority: 0.9 },
	16	+ ];
	17	+ const countries = res?.items ?? [];
	18	+ const countryEntries: MetadataRoute.Sitemap = countries.flatMap((c) => {
	19	+ const slug = c.slug ?? c.id;
	20	+ return [
	21	+ { url: `${SITE_URL}${routes.country(slug)}`, lastModified, changeFrequency: 'weekly' as const, priority: 0.8 },
	22	+ ...TOPICS.map((tp) => ({ url: `${SITE_URL}${routes.countryTopic(slug, tp.id)}`, lastModified, changeFrequency: 'weekly' as const, priority: 0.6 })),
	23	+ ];
	24	+ });
	25	+ return [...staticEntries, ...countryEntries];
	26	+}

added apps/web/src/app/twitter-image.tsx +6 −0

		`@@ -0,0 +1,6 @@`
	1	+import OpenGraphImage, { alt as ogAlt, contentType as ogType, size as ogSize } from './opengraph-image';
	2	+
	3	+export const alt = ogAlt;
	4	+export const size = ogSize;
	5	+export const contentType = ogType;
	6	+export default OpenGraphImage;

added apps/web/src/components/country/indicator-row.tsx +134 −0

		`@@ -0,0 +1,134 @@`
	1	+'use client';
	2	+import { useEffect, useRef, useState } from 'react';
	3	+import Link from 'next/link';
	4	+import { t } from '@/i18n';
	5	+import { clientApi } from '@/lib/client-api';
	6	+import { cn } from '@/lib/cn';
	7	+import { formatPeriod, formatValue } from '@/lib/format';
	8	+import { routes } from '@/lib/site';
	9	+import type { MetricValue, SeriesResponse } from '@/lib/types';
	10	+import { LineChart } from '@/components/charts/line-chart';
	11	+import { pointsFromSeries, pointsFromSpark } from '@/components/charts/scales';
	12	+import { ChangeChip } from '@/components/data/change-chip';
	13	+import { EmptyState } from '@/components/data/empty-state';
	14	+import { payloadFor, type MetricCountry } from '@/components/data/metric';
	15	+import { useProvenance } from '@/components/data/provenance-context';
	16	+import { RankBadge } from '@/components/data/rank-badge';
	17	+
	18	+const CHART_H = 220;
	19	+
	20	+/**
	21	+ * One indicator on a topic page: name, latest value + change + rank, full-history LineChart (dashed forecast),
	22	+ * source line, Compare / Ranking / Indicator links. `series` (server-fetched) renders immediately; otherwise
	23	+ * the chart mounts on scroll (IntersectionObserver) and fetches `/countries/{id}/series/{slug}` client-side.
	24	+ * The chart area reserves its height so nothing shifts.
	25	+ */
	26	+export function IndicatorRow({ metric, country, regionName, series: initialSeries, eager = false }: { metric: MetricValue; country: MetricCountry; regionName?: string \| null; series?: SeriesResponse \| null; eager?: boolean }) {
	27	+ const { open } = useProvenance();
	28	+ const m = metric;
	29	+ const ref = useRef<HTMLDivElement>(null);
	30	+ const [series, setSeries] = useState<SeriesResponse \| null \| undefined>(initialSeries);
	31	+ const [visible, setVisible] = useState(eager \|\| !!initialSeries);
	32	+ const [error, setError] = useState(false);
	33	+
	34	+ useEffect(() => {
	35	+ if (visible \|\| !ref.current) return;
	36	+ const el = ref.current;
	37	+ if (typeof IntersectionObserver === 'undefined') {
	38	+ setVisible(true);
	39	+ return;
	40	+ }
	41	+ const io = new IntersectionObserver(
	42	+ (entries) => {
	43	+ if (entries.some((e) => e.isIntersecting)) {
	44	+ setVisible(true);
	45	+ io.disconnect();
	46	+ }
	47	+ },
	48	+ { rootMargin: '400px 0px' },
	49	+ );
	50	+ io.observe(el);
	51	+ return () => io.disconnect();
	52	+ }, [visible]);
	53	+
	54	+ useEffect(() => {
	55	+ if (!visible \|\| series !== undefined \|\| !m.has_data) return;
	56	+ const ctrl = new AbortController();
	57	+ clientApi
	58	+ .countrySeries(country.id, m.indicator, ctrl.signal)
	59	+ .then((r) => setSeries(r))
	60	+ .catch((e) => {
	61	+ if ((e as Error).name !== 'AbortError') {
	62	+ setError(true);
	63	+ setSeries(null);
	64	+ }
	65	+ });
	66	+ return () => ctrl.abort();
	67	+ }, [visible, series, m.has_data, m.indicator, country.id]);
	68	+
	69	+ const name = m.indicator_name ?? m.indicator;
	70	+ const points = series ? pointsFromSeries(series.values) : pointsFromSpark(m.sparkline);
	71	+ const spec = { format: m.format, unit: m.unit, unit_short: m.unit_short, frequency: m.frequency, name, higher_is_better: m.higher_is_better, precision: series?.indicator.precision ?? null };
	72	+ const payload = payloadFor(m, country, { name: series?.indicator.name ?? name });
	73	+
	74	+ return (
	75	+ <article id={m.indicator} ref={ref} className="scroll-mt-32 border-t border-rule py-5 md:py-6" aria-labelledby={`${m.indicator}-h`}>
	76	+ <div className="grid gap-x-8 gap-y-3 md:grid-cols-[minmax(0,17rem)_1fr] lg:grid-cols-[minmax(0,19rem)_1fr]">
	77	+ <div className="min-w-0">
	78	+ <h3 id={`${m.indicator}-h`} className="text-base font-semibold leading-snug text-ink">
	79	+ <Link href={routes.indicator(m.indicator)} className="link-quiet">
	80	+ {series?.indicator.name ?? name}
	81	+ </Link>
	82	+ </h3>
	83	+ {m.unit ? <p className="text-xs text-ink-3">{m.unit}</p> : null}
	84	+ {m.has_data ? (
	85	+ <button type="button" onClick={() => open(payload)} className="-mx-1 mt-2 flex min-h-[44px] flex-col items-start rounded-sm px-1 text-left hover:bg-surface-2" aria-label={t('common.openProvenance')}>
	86	+ <span className="pnum text-2xl font-semibold leading-none text-ink">{m.formatted ?? formatValue(m.value, spec)}</span>
	87	+ <span className="mt-1 flex flex-wrap items-baseline gap-x-2 text-xs text-ink-3">
	88	+ <span className="tnum">{formatPeriod(m.period, m.frequency)}</span>
	89	+ {m.is_estimate ? <span>{t('common.estimate')}</span> : null}
	90	+ <ChangeChip change={m.change} spec={spec} prevPeriod={m.prev?.period} />
	91	+ </span>
	92	+ </button>
	93	+ ) : null}
	94	+ <div className="mt-1 min-h-[1rem]">
	95	+ <RankBadge rank={m} regionName={regionName} />
	96	+ </div>
	97	+ <div className="mt-3 flex flex-wrap gap-x-3 gap-y-1 text-xs">
	98	+ <Link href={routes.compare(country.slug ?? country.id)} className="inline-flex min-h-[32px] items-center text-accent hover:underline">
	99	+ {t('topic.compareLink')}
	100	+ </Link>
	101	+ <Link href={routes.ranking(m.indicator)} className="inline-flex min-h-[32px] items-center text-accent hover:underline">
	102	+ {t('topic.rankingLink')}
	103	+ </Link>
	104	+ <Link href={routes.indicator(m.indicator)} className="inline-flex min-h-[32px] items-center text-ink-2 hover:text-accent hover:underline">
	105	+ {t('topic.indicatorLink')}
	106	+ </Link>
	107	+ </div>
	108	+ </div>
	109	+ <div className="min-w-0" style={{ minHeight: CHART_H + 40 }}>
	110	+ {!m.has_data ? (
	111	+ <EmptyState compact title={t('empty.title', { indicator: name, country: country.name })} />
	112	+ ) : error ? (
	113	+ <EmptyState compact title={t('common.errorHint')} />
	114	+ ) : points.length >= 2 ? (
	115	+ <LineChart
	116	+ series={[{ id: m.indicator, name: country.name, points }]}
	117	+ spec={spec}
	118	+ subject={`${country.name}'s ${(series?.indicator.short_name ?? name).toLowerCase()}`}
	119	+ height={CHART_H}
	120	+ provenance={series?.provenance ?? m.provenance}
	121	+ payload={payload}
	122	+ defaultWidth={720}
	123	+ className={cn(!series && 'opacity-90')}
	124	+ />
	125	+ ) : (
	126	+ <div className="grid h-full place-items-center text-sm text-ink-3" style={{ minHeight: CHART_H }}>
	127	+ {t('common.loading')}
	128	+ </div>
	129	+ )}
	130	+ </div>
	131	+ </div>
	132	+ </article>
	133	+ );
	134	+}

added apps/web/src/components/country/timeline.tsx +47 −0

		`@@ -0,0 +1,47 @@`
	1	+import Link from 'next/link';
	2	+import { t } from '@/i18n';
	3	+import { cn } from '@/lib/cn';
	4	+import { severityLevel } from '@/lib/severity';
	5	+import { routes } from '@/lib/site';
	6	+import { topicById } from '@/lib/topics';
	7	+import type { ChangeItem } from '@/lib/types';
	8	+import { kindLabel } from '@/components/data/change-list';
	9	+
	10	+/** Events grouped by year, compact: a left year rail and one line per event. Server component. */
	11	+export function Timeline({ items, slug, limit = 30 }: { items: ChangeItem[]; slug: string; limit?: number }) {
	12	+ if (items.length === 0) return <p className="py-4 text-sm text-ink-3">{t('country.timeline.none')}</p>;
	13	+ const byYear = new Map<number, ChangeItem[]>();
	14	+ for (const it of items.slice(0, limit)) {
	15	+ const y = it.year ?? 0;
	16	+ if (!byYear.has(y)) byYear.set(y, []);
	17	+ byYear.get(y)!.push(it);
	18	+ }
	19	+ const years = Array.from(byYear.keys()).sort((a, b) => b - a);
	20	+ return (
	21	+ <ol className="divide-y divide-rule">
	22	+ {years.map((y) => (
	23	+ <li key={y} className="grid grid-cols-[3.25rem_1fr] gap-x-3 py-2.5">
	24	+ <span className="tnum display pt-0.5 text-lg leading-none text-ink-2">{y \|\| '—'}</span>
	25	+ <ul className="space-y-1.5">
	26	+ {byYear.get(y)!.map((e, i) => {
	27	+ const ind = e.indicator;
	28	+ const indSlug = (ind as { slug?: string; id: string }).slug ?? ind.id;
	29	+ const topic = 'topic' in ind ? topicById(ind.topic ?? '')?.id : undefined;
	30	+ const href = topic ? routes.countryIndicator(slug, topic, indSlug) : routes.indicator(indSlug);
	31	+ const lvl = severityLevel(e.severity);
	32	+ return (
	33	+ <li key={e.id ?? i} className="text-sm leading-snug">
	34	+ <Link href={href} className="link-quiet">
	35	+ <span className={cn('mr-1.5 inline-block h-1.5 w-1.5 rounded-full align-middle', lvl === 'high' ? 'bg-accent' : 'bg-rule-strong')} aria-hidden />
	36	+ <span className="mr-1.5 text-2xs uppercase tracking-wide text-ink-3">{kindLabel(e.kind, e.window_years)}</span>
	37	+ <span className="text-ink">{e.headline}</span>
	38	+ </Link>
	39	+ </li>
	40	+ );
	41	+ })}
	42	+ </ul>
	43	+ </li>
	44	+ ))}
	45	+ </ol>
	46	+ );
	47	+}

added apps/web/src/components/country/topics-grid.tsx +31 −0

		`@@ -0,0 +1,31 @@`
	1	+import { ChevronRight } from 'lucide-react';
	2	+import Link from 'next/link';
	3	+import { t } from '@/i18n';
	4	+import { routes } from '@/lib/site';
	5	+import { TOPICS } from '@/lib/topics';
	6	+import type { TopicSummary } from '@/lib/types';
	7	+
	8	+/** Navigation to the 19 topic pages with indicator counts (n with data / n total). */
	9	+export function CountryTopicsGrid({ slug, topics }: { slug: string; topics: TopicSummary[] }) {
	10	+ const byId = new Map(topics.map((tp) => [tp.id, tp]));
	11	+ return (
	12	+ <ul className="grid gap-x-8 sm:grid-cols-2 lg:grid-cols-3">
	13	+ {TOPICS.map((def) => {
	14	+ const tp = byId.get(def.id);
	15	+ return (
	16	+ <li key={def.id} className="border-t border-rule">
	17	+ <Link href={routes.countryTopic(slug, def.id)} className="group flex min-h-[56px] items-center justify-between gap-3 py-2.5">
	18	+ <span className="min-w-0">
	19	+ <span className="block truncate text-sm font-medium text-ink group-hover:text-accent">{def.name}</span>
	20	+ <span className="tnum block text-xs text-ink-3">
	21	+ {tp ? `${t('country.topics.withData', { n: tp.n_with_data })} · ${t('country.topics.count', { n: tp.n_indicators })}` : def.blurb}
	22	+ </span>
	23	+ </span>
	24	+ <ChevronRight size={16} aria-hidden className="shrink-0 text-ink-3 group-hover:text-accent" />
	25	+ </Link>
	26	+ </li>
	27	+ );
	28	+ })}
	29	+ </ul>
	30	+ );
	31	+}

modified apps/web/src/lib/fonts.ts +3 −2

		`@@ -1,8 +1,9 @@`
1	1	/**
2	2	* Fonts via next/font/google (self-hosted at build). If the build machine has no network, swap the import in
3	3	* layout.tsx for `./fonts.system` (same exported names, system stack) — the build must never fail on fonts.
	4	+ * Newsreader is variable (optical size + weight axes); `axes` is only allowed without an explicit `weight`.
4	5	*/
5	6	import { Inter, Newsreader } from 'next/font/google';
6	7
7		−export const fontUi = Inter({ variable: '--font-ui', subsets: ['latin'], display: 'swap', axes: ['opsz'] });
8		−export const fontDisplay = Newsreader({ variable: '--font-display', subsets: ['latin'], display: 'swap', weight: ['400', '500', '600'], style: ['normal', 'italic'], axes: ['opsz'] });
	8	+export const fontUi = Inter({ variable: '--font-ui', subsets: ['latin'], display: 'swap' });
	9	+export const fontDisplay = Newsreader({ variable: '--font-display', subsets: ['latin'], display: 'swap', style: ['normal', 'italic'], axes: ['opsz'] });

added apps/web/src/lib/og.tsx +64 −0

		`@@ -0,0 +1,64 @@`
	1	+import type { ReactNode } from 'react';
	2	+
	3	+/**
	4	+ * Shared building blocks for the OG/Twitter images (next/og ImageResponse → Satori). Satori supports a flex
	5	+ * subset of CSS and inline SVG; no CSS variables, so colours are literal. Dark editorial background, the logo
	6	+ * mark, a meridian motif. Fonts: Satori's bundled default sans (loading Google fonts at build would make the
	7	+ * build network-dependent — avoided on purpose).
	8	+ */
	9	+export const OG_BG = '#151513';
	10	+export const OG_INK = '#f2f0ea';
	11	+export const OG_INK2 = '#c9c6bd';
	12	+export const OG_INK3 = '#8a877f';
	13	+export const OG_ACCENT = '#5598e7';
	14	+export const OG_RULE = '#2c2b28';
	15	+
	16	+export function OgMark({ size = 96, color = OG_ACCENT }: { size?: number; color?: string }) {
	17	+ return (
	18	+ <svg width={size} height={size} viewBox="0 0 32 32" fill="none" stroke={color} strokeWidth={2} strokeLinecap="round" strokeLinejoin="round">
	19	+ <circle cx="16" cy="16" r="13" />
	20	+ <path d="M4.1 19.5h23.8" />
	21	+ <path d="M9.6 27.2 16 6.8l6.4 20.4" />
	22	+ <path d="M16 6.8c-3.2 3.1-4.6 7.7-4.6 12.7" opacity="0.55" />
	23	+ <path d="M16 6.8c3.2 3.1 4.6 7.7 4.6 12.7" opacity="0.55" />
	24	+ </svg>
	25	+ );
	26	+}
	27	+
	28	+/** Large, faint globe with meridians and parallels, positioned at the right edge. */
	29	+export function OgMeridians({ size = 760, x = 640, y = -80 }: { size?: number; x?: number; y?: number }) {
	30	+ return (
	31	+ <svg width={size} height={size} viewBox="0 0 200 200" fill="none" stroke={OG_ACCENT} strokeWidth={0.6} style={{ position: 'absolute', left: x, top: y, opacity: 0.35 }}>
	32	+ <circle cx="100" cy="100" r="96" />
	33	+ <ellipse cx="100" cy="100" rx="64" ry="96" />
	34	+ <ellipse cx="100" cy="100" rx="32" ry="96" />
	35	+ <line x1="100" y1="4" x2="100" y2="196" />
	36	+ <line x1="4" y1="100" x2="196" y2="100" />
	37	+ <ellipse cx="100" cy="100" rx="96" ry="48" />
	38	+ <ellipse cx="100" cy="100" rx="96" ry="80" />
	39	+ <path d="M12 60h176M12 140h176" opacity="0.7" />
	40	+ </svg>
	41	+ );
	42	+}
	43	+
	44	+export function OgFrame({ children }: { children: ReactNode }) {
	45	+ return (
	46	+ <div style={{ width: '100%', height: '100%', display: 'flex', flexDirection: 'column', background: OG_BG, color: OG_INK, position: 'relative', overflow: 'hidden', padding: 64, fontFamily: 'sans-serif' }}>
	47	+ <OgMeridians />
	48	+ <div style={{ position: 'absolute', left: 64, right: 64, bottom: 56, height: 1, background: OG_RULE }} />
	49	+ {children}
	50	+ </div>
	51	+ );
	52	+}
	53	+
	54	+export function OgWordmark({ size = 34 }: { size?: number }) {
	55	+ return (
	56	+ <div style={{ display: 'flex', alignItems: 'center', gap: 14 }}>
	57	+ <OgMark size={size * 1.35} />
	58	+ <div style={{ display: 'flex', fontSize: size, letterSpacing: -0.5 }}>
	59	+ <span style={{ fontWeight: 400 }}>Country</span>
	60	+ <span style={{ fontWeight: 700 }}>Atlas</span>
	61	+ </div>
	62	+ </div>
	63	+ );
	64	+}

modified docs/ARCHITECTURE.md +30 −11

		`@@ -63,9 +63,11 @@ observations(country_id, indicator_id, period DATE /* first day of period */, ye`
63	63	value DOUBLE, unit, source_id, source_dataset, source_series_code,
64	64	is_estimate BOOL, is_forecast BOOL, revision INT, retrieved_at TIMESTAMP, source_updated_at TIMESTAMP,
65	65	status TEXT /* verified\|imported\|warning\|stale\|quarantined */, metadata JSON)
66		− -- PK (country_id, indicator_id, period, frequency). Exactly ONE source per (indicator,country,period) is kept in
67		− -- observations: the highest-priority source that has a value. Alternatives are kept in observations_alt.
68		−observations_alt(same columns) -- lower-priority sources, for provenance/inspection and fallbacks
	66	+ -- PK (country_id, indicator_id, period, frequency). Exactly ONE source per WHOLE SERIES (country, indicator,
	67	+ -- frequency): the highest-priority source having non-forecast data for that country, unless a lower-priority
	68	+ -- source is > 3 years fresher (metadata.merge_reason = "priority" \| "fresher"). Sources are never spliced
	69	+ -- inside a series. Every other source's complete series is kept in observations_alt.
	70	+observations_alt(same columns) -- complete alternative series (other sources), for provenance / alternative views
69	71	observation_revisions(country_id, indicator_id, period, frequency, old_value, new_value, old_source_id, new_source_id,
70	72	changed_at TIMESTAMP, run_id) -- never silently overwrite: carry forward from the previous snapshot
71	73	latest(country_id, indicator_id, period, year, value, prev_period, prev_value, change_abs, change_pct,
		@@ -190,10 +192,17 @@ No table or column of `schema.sql` was changed. The following precisions/deviati
190	192	`staging/<connector>/<dataset>__<code>__<indicator>.parquet` — not one per dataset. Error isolation, quarantine and the
191	193	"keep the previous file" rule apply per spec. `import_runs` holds the latest attempt per spec (not the full history);
192	194	`import_runs.dataset` is `"<dataset>:<code>→<indicator>"`; `rows_raw` is the raw payload size in bytes.
	195	+* Series-level source selection (`build.py::_merge_observations`): for each `(country_id, indicator_id, frequency)`
	196	+ the whole series comes from one source — the highest-priority source with any non-forecast data for that country; if a
	197	+ lower-priority source's latest non-forecast year is more than 3 years more recent, the freshest source wins instead.
	198	+ The decision is stored per row in `metadata.merge_reason` (`"priority"` \| `"fresher"`); `meta`/build counts report
	199	+ `series_fresher_source`. Consequence: forecast rows appear in `observations` only when the chosen source itself publishes
	200	+ them (IMF-only indicators, or IMF chosen as fresher); the complete IMF series (history + forecasts) is always available in
	201	+ `observations_alt` for alternative views. Series with forecast-only data fall back to plain priority.
193	202	* Quarantined rows stay in `observations` (never deleted) but are excluded from every derived table (`latest`,
194	203	`rankings`, `changes`, `events`, `similarity`, `insights`, `country_dna`). A lower-priority source is not promoted when
195		− the primary row is quarantined (the value is flagged, not replaced). `observations_alt` = all losing rows of the priority
196		− race, whatever their status.
	204	+ a row is quarantined (the value is flagged, not replaced). `observations_alt` = every row of every non-chosen source,
	205	+ whatever its status.
197	206	* Stale is evaluated on the end of the period (annual 2024 → 2024-12-31) of each country's latest observation, not on
198	207	`source_updated_at` (the WDI vintage date says nothing about a country whose series stops in 2019); only that latest row is
199	208	flagged `stale`. With 800 days, an annual series ending in 2023 is stale in September 2026, one ending in 2024 is not.
		@@ -210,12 +219,22 @@ No table or column of `schema.sql` was changed. The following precisions/deviati
210	219	`rankings` includes every year with ≥ 20 countries for `ranking_eligible` indicators.
211	220	* Changes / events: working scale = points for percent-like indicators, log-differences (reported as % change) for
212	221	positive level series, absolute otherwise. z = (Δ − median)/max(1.4826·MAD, 0.25 × floor); a move must also clear the
213		− floor (`change_floor` in the indicator's unit; default 5 % relative or 2 % of the series range). `severity = 0.6·min(1, \|z\|/4)
214		− + 0.4·min(1, \|Δ\|/(2·floor))` for YoY moves; records 0.6–1.0; N-year highs/lows 0.4–0.6; sign flips 0.7;
215		− acceleration 0.4. `events` (whole history) contain YoY jumps/drops, records reached after a ≥ 5-year gap since the previous
216		− record (monotone series stay silent) and sign flips, at most 30 per series; `changes` add N-year highs/lows (N ∈ {10, 20, 30})
217		− and acceleration/deceleration (3 consecutive increases/decreases of the difference) at the latest period only.
218		− `id = sha1("changes\|"+country+indicator+kind+period)[:16]` (`"events\|"` for events). Headlines are English templates.
	222	+ floor (`change_floor` in the indicator's unit; default 5 % relative, or 2 % of the series range with a 0.5-point minimum
	223	+ for shares/rates). YoY severity = `0.3·min(1,\|z\|/4) + 0.7·min(1,\|Δ\|/(3·floor))` when the registry defines `change_floor`
	224	+ (real-world magnitude dominates), else `0.6·z-part + 0.4·min(1,\|Δ\|/(2·floor))`; records `0.5 + 0.25·min(1,n/100) +
	225	+ 0.25·(exceedance in floor units)`; N-year highs/lows 0.4–0.6; sign flips 0.7; acceleration 0.4. The stored severity is
	226	+ multiplied by an importance weight (headline indicators ×1.0, `featured` ×0.9, others ×0.7; `detail.weight`,
	227	+ `detail.raw_severity`). `changes` are recent by construction: a detection is kept only if the series' latest year is
	228	+ within 2 years of the indicator's max year in the snapshot AND within 3 years of today; older detections exist only in
	229	+ `events`. Record/N-year detectors are skipped for series that are monotone over their whole history, and indicators tagged
	230	+ `cumulative` (e.g. `cumulative-co2`) run no detector at all. `events` (whole history) contain YoY jumps/drops, records
	231	+ reached after a ≥ 5-year gap since the previous record and sign flips, at most 30 per series; `changes` add N-year
	232	+ highs/lows (N ∈ {10, 20, 30}) and acceleration/deceleration (3 consecutive increases/decreases of the difference) at the
	233	+ latest period only. `id = sha1("changes\|"+country+indicator+kind+period)[:16]` (`"events\|"` for events). Headlines are
	234	+ English templates.
	235	+* OWID freshness: raw.githubusercontent.com sends no `Last-Modified`; `source_updated_at` for the co2/energy files is the
	236	+ date of the last GitHub commit touching the file (`api.github.com/repos/owid/<repo>/commits?path=…`), grapher charts use
	237	+ `lastUpdated` from their metadata.
219	238	* Similarity: features/weights/transforms in `registry/similarity.yaml`; z-scores from `latest` (mixed years allowed);
220	239	a pair needs ≥ 50 % of the mode's weight in common (distance rescaled to full weight); `d0` = median pairwise distance of
221	240	the mode; `contributions[feature].contribution` = share of the squared distance. `country_dna` dimensions are defined in

modified docs/PIPELINE.md +13 −6

		`@@ -86,9 +86,13 @@ country's differences, with a floor of 10 % (relative) or 2 % of the series rang`
86	86
87	87	1. `schema.sql` → registry tables (`countries`, `groups`, `group_members`, `sources`, `indicators`,
88	88	`indicator_sources` incl. `source_url`/`notes` from the staging sidecars).
89		−2. All staging parquet files → `staging_all` (joined with `indicator_sources.priority`). For each
90		− `(country, indicator, period, frequency)` the row with the smallest priority (then source id) goes to `observations`,
91		− the rest to `observations_alt`. Forecast rows are kept (dashed on charts) but never enter derived tables.
	89	+2. All staging parquet files whose spec still exists in the registry → `staging_all` (joined with
	90	+ `indicator_sources.priority`); files of removed/renamed specs are orphans, ignored with a warning (delete them or
	91	+ re-map the spec; `ca validate` lists them too). Source selection is per
	92	+ series `(country, indicator, frequency)`: the highest-priority source with non-forecast data for that country wins the
	93	+ whole series, unless a lower-priority source is > 3 years fresher (`metadata.merge_reason` = `priority` \| `fresher`).
	94	+ Sources are never spliced inside a series; every other source's complete series goes to `observations_alt`. Forecast
	95	+ rows of the chosen source are kept (dashed on charts) but never enter derived tables.
92	96	3. `observation_revisions`: the previous `atlas.duckdb` is attached read-only; every key whose value or source changed
93	97	is recorded with the new `run_id`; the previous revisions table is copied over.
94	98	4. `import_runs` (latest `run.json` per spec) and `validation_issues` (issues sidecars).
		`@@ -97,9 +101,12 @@ country's differences, with a floor of 10 % (relative) or 2 % of the series rang`
97	101	countries), `coverage`, indicator/source coverage columns, `search_index`.
98	102	Rank direction: rank 1 = lowest value when `higher_is_better = false`, otherwise highest value ("best" when
99	103	`higher_is_better` is set, "highest" when null). `pct_rank = 1 − (rank−1)/(n−1)`.
100		−6. `changes` / `events` (`pipeline/changes.py`, numpy per series, ≈ 45 k series in ~3 s) — see ARCHITECTURE §7 and the
101		− module docstring; headlines are English templates such as
102		− "Inflation fell 3.4 points to 3.4 % in 2025 (largest drop since 2009)."
	104	+6. `changes` / `events` (`pipeline/changes.py`, numpy per series, ≈ 45 k series in ~3 s) — see ARCHITECTURE §7/§7.1 and
	105	+ the module docstring; headlines are English templates such as
	106	+ "Inflation fell 3.4 points to 3.4 % in 2025 (largest drop since 2009)." `changes` only keep detections at a series'
	107	+ latest period when that period is recent (≤ 2 years behind the indicator's max year and ≤ 3 years behind today);
	108	+ monotone series and `cumulative`-tagged indicators are silent; severity = detector score × importance weight
	109	+ (headline 1.0 / featured 0.9 / other 0.7).
103	110	7. `similarity` (5 modes, `registry/similarity.yaml`) and `country_dna` (9 percentile dimensions, `dna:` section of the
104	111	same file). 8. `insights` (`registry/insights.yaml`, 16 templates, all numbers computed).
105	112	9. `meta` (schema_version, build_run_id, built_at, counts, connectors, duration) → `CHECKPOINT`.

modified registry/indicators.yaml +31 −6

		`@@ -442,8 +442,8 @@ indicators:`
442	442	sources:
443	443	- {connector: imf, dataset: WEO, code: GGXCNL_NGDP, priority: 1}
444	444	- slug: government-revenue-pct-gdp
445		− name: Government revenue, excluding grants (% of GDP)
446		− short_name: Revenue
	445	+ name: Central government revenue, excluding grants (% of GDP)
	446	+ short_name: Central gov. revenue
447	447	topic: government
448	448	subtopic: Revenue & spending
449	449	unit: "% of GDP"
		`@@ -452,10 +452,21 @@ indicators:`
452	452	bounds: [0, 150]
453	453	sources:
454	454	- {connector: worldbank, dataset: WDI, code: GC.REV.XGRT.GD.ZS, priority: 1}
455		− - {connector: imf, dataset: WEO, code: GGR_NGDP, priority: 2}
	455	+- slug: general-government-revenue-pct-gdp
	456	+ name: General government revenue (% of GDP)
	457	+ short_name: Gov. revenue
	458	+ topic: government
	459	+ subtopic: Revenue & spending
	460	+ unit: "% of GDP"
	461	+ unit_short: "% GDP"
	462	+ format: percent
	463	+ bounds: [0, 150]
	464	+ description: Revenue of the general government sector (all levels of government), IMF WEO, including projections.
	465	+ sources:
	466	+ - {connector: imf, dataset: WEO, code: GGR_NGDP, priority: 1}
456	467	- slug: government-expenditure-pct-gdp
457		− name: Government expenditure (% of GDP)
458		− short_name: Expenditure
	468	+ name: Central government expense (% of GDP)
	469	+ short_name: Central gov. expense
459	470	topic: government
460	471	subtopic: Revenue & spending
461	472	unit: "% of GDP"
		`@@ -464,7 +475,20 @@ indicators:`
464	475	bounds: [0, 200]
465	476	sources:
466	477	- {connector: worldbank, dataset: WDI, code: GC.XPN.TOTL.GD.ZS, priority: 1}
467		− - {connector: imf, dataset: WEO, code: GGX_NGDP, priority: 2}
	478	+- slug: general-government-expenditure-pct-gdp
	479	+ name: General government total expenditure (% of GDP)
	480	+ short_name: Gov. expenditure
	481	+ topic: government
	482	+ subtopic: Revenue & spending
	483	+ unit: "% of GDP"
	484	+ unit_short: "% GDP"
	485	+ format: percent
	486	+ featured: true
	487	+ bounds: [0, 200]
	488	+ change_floor: 3
	489	+ description: Total expenditure of the general government sector (all levels of government), IMF WEO, including projections.
	490	+ sources:
	491	+ - {connector: imf, dataset: WEO, code: GGX_NGDP, priority: 1}
468	492	- slug: tax-revenue-pct-gdp
469	493	name: Tax revenue (% of GDP)
470	494	short_name: Tax revenue
		`@@ -2361,6 +2385,7 @@ indicators:`
2361	2385	precision: 0
2362	2386	aggregation: sum
2363	2387	bounds: [0, null]
	2388	+ tags: [cumulative] # monotone stock: change/event detectors are skipped (nothing is newsworthy)
2364	2389	sources:
2365	2390	- {connector: owid, dataset: co2, code: cumulative_co2, priority: 1}
2366	2391	- slug: share-global-co2

modified registry/similarity.yaml +3 −3

		`@@ -14,7 +14,7 @@ modes:`
14	14	- {indicator: urban-population-share}
15	15	- {indicator: trade-pct-gdp}
16	16	- {indicator: fertility-rate}
17		− - {indicator: government-expenditure-pct-gdp}
	17	+ - {indicator: general-government-expenditure-pct-gdp}
18	18	- {indicator: life-expectancy}
19	19	- {indicator: internet-users}
20	20	- {indicator: co2-per-capita, transform: log1p}
		`@@ -31,7 +31,7 @@ modes:`
31	31	- {indicator: agriculture-value-added-pct-gdp}
32	32	- {indicator: gross-capital-formation-pct-gdp}
33	33	- {indicator: unemployment-rate}
34		− - {indicator: government-expenditure-pct-gdp}
	34	+ - {indicator: general-government-expenditure-pct-gdp}
35	35	demographic:
36	36	features:
37	37	- {indicator: median-age, weight: 1.5}
		`@@ -85,4 +85,4 @@ dna:`
85	85	- {indicator: tertiary-enrollment}
86	86	- {indicator: expected-years-of-schooling}
87	87	public_spending:
88		− - {indicator: government-expenditure-pct-gdp}
	88	+ - {indicator: general-government-expenditure-pct-gdp}

modified registry/topics.yaml +1 −1

		`@@ -32,7 +32,7 @@ topics:`
32	32	order: 2
33	33	blurb: Public debt, deficits, revenue, spending and taxation.
34	34	indicators: [government-debt-pct-gdp, general-government-gross-debt-pct-gdp, fiscal-balance-pct-gdp, government-revenue-pct-gdp,
35		− government-expenditure-pct-gdp, tax-revenue-pct-gdp, social-expenditure-pct-gdp, military-expenditure-pct-gdp,
	35	+ government-expenditure-pct-gdp, general-government-revenue-pct-gdp, general-government-expenditure-pct-gdp, tax-revenue-pct-gdp, social-expenditure-pct-gdp, military-expenditure-pct-gdp,
36	36	military-expenditure, health-expenditure-pct-gdp, education-expenditure-pct-gdp, interest-payments-pct-revenue,
37	37	external-debt-pct-gni, government-effectiveness, control-of-corruption, rule-of-law]
38	38	- id: population

modified src/countryatlas/connectors/owid.py +15 −0

		`@@ -48,6 +48,7 @@ GRAPHER_CSV = "https://ourworldindata.org/grapher/{code}.csv?v=1&csvType=full&us`
48	48	GRAPHER_META = "https://ourworldindata.org/grapher/{code}.metadata.json"
49	49	GRAPHER_PAGE = "https://ourworldindata.org/grapher/{code}"
50	50	FORECAST_HORIZON_YEARS = 6 # projected values are kept only up to current year + 6
	51	+GITHUB_COMMITS = "https://api.github.com/repos/{repo}/commits?path={path}&per_page=1"
51	52
52	53
53	54	class OWIDConnector(Connector):
		`@@ -110,10 +111,24 @@ class OWIDConnector(Connector):`
110	111	notes=f"{DATASET_NAMES[dataset]} — {DATASET_HOME[dataset]}",
111	112	)
112	113	p.content_type = "text/csv"
	114	+ if p.source_updated_at is None: # raw.githubusercontent.com sends no Last-Modified → last commit touching the file
	115	+ p.source_updated_at = self._last_commit_date(dataset)
113	116	with self._lock:
114	117	self._cache[dataset] = p
115	118	return p
116	119
	120	+ def _last_commit_date(self, dataset: str) -> datetime \| None:
	121	+ repo = DATASET_HOME[dataset].removeprefix("https://github.com/")
	122	+ path = DATASET_URLS[dataset].rsplit("/", 1)[-1]
	123	+ try:
	124	+ r = self.get(GITHUB_COMMITS.format(repo=repo, path=path))
	125	+ doc = orjson.loads(r.content)
	126	+ iso = doc[0]["commit"]["committer"]["date"] if doc else None
	127	+ return parse_date_utc(iso)
	128	+ except Exception as e: # noqa: BLE001 — freshness metadata is best effort
	129	+ log.warning("owid %s: GitHub commit date unavailable: %s", dataset, e)
	130	+ return None
	131	+
117	132	def _fetch_grapher(self, code: str) -> RawPayload:
118	133	with self._lock:
119	134	if f"grapher:{code}" in self._cache:

modified src/countryatlas/pipeline/build.py +83 −11

		`@@ -172,6 +172,17 @@ def _spec_meta() -> dict[tuple[str, str, str, str], dict[str, Any]]:`
172	172	return out
173	173
174	174
	175	+def _current_staging_files() -> tuple[list[Path], list[Path]]:
	176	+ """Staging parquet files that still correspond to a registry source spec, and the orphans (ignored by the build)."""
	177	+ from countryatlas.pipeline.staging import spec_stem
	178	+
	179	+ valid = {(s.connector, spec_stem(s)) for s in registry.source_specs()}
	180	+ files, orphans = [], []
	181	+ for f in list_staging_files():
	182	+ (files if (f.parent.name, f.stem) in valid else orphans).append(f)
	183	+ return files, orphans
	184	+
	185	+
175	186	# ------------------------------------------------------------------------------------------------ observations
176	187	def _load_staging(con: duckdb.DuckDBPyConnection, files: list[Path]) -> int:
177	188	if not files:
		`@@ -197,23 +208,82 @@ def _load_staging(con: duckdb.DuckDBPyConnection, files: list[Path]) -> int:`
197	208	return con.execute("SELECT count(*) FROM staging_all").fetchone()[0]
198	209
199	210
200		−def _merge_observations(con: duckdb.DuckDBPyConnection) -> tuple[int, int]:
	211	+FRESHER_YEARS = 3 # a lower-priority source wins a series when its latest actual year is > 3 years more recent
	212	+
	213	+
	214	+def _merge_observations(con: duckdb.DuckDBPyConnection) -> tuple[int, int, int]:
	215	+ """Series-level merge: for each (country, indicator, frequency) the WHOLE series comes from ONE source.
	216	+
	217	+ Chosen source = highest priority among sources having non-forecast data for that country, unless a lower-priority
	218	+ source's latest non-forecast year is more than FRESHER_YEARS more recent (then the freshest wins;
	219	+ `metadata.merge_reason` = "priority" \| "fresher"). Series with forecast-only data fall back to plain priority.
	220	+ Every row of every other source goes to observations_alt (complete alternative series).
	221	+ Returns (n_observations, n_alt, n_series_chosen_as_fresher).
	222	+ """
201	223	cols = ("country_id, indicator_id, period, year, frequency, value, unit, source_id, source_dataset, source_series_code, "
202	224	"is_estimate, is_forecast, revision, retrieved_at, source_updated_at, status, metadata")
203	225	con.execute(
204	226	f"""
	227	+ CREATE TEMP TABLE series_src AS
	228	+ SELECT country_id, indicator_id, frequency, source_id, source_dataset, source_series_code, min(priority) AS priority,
	229	+ max(CASE WHEN NOT coalesce(is_forecast, false) THEN year END) AS last_actual_year,
	230	+ count(CASE WHEN NOT coalesce(is_forecast, false) THEN 1 END) AS n_actual
	231	+ FROM staging_all GROUP BY ALL;
	232	+
	233	+ CREATE TEMP TABLE chosen AS
	234	+ WITH actual AS (
	235	+ SELECT *,
	236	+ row_number() OVER (PARTITION BY country_id, indicator_id, frequency
	237	+ ORDER BY priority, source_id, source_dataset, source_series_code) AS prio_rank,
	238	+ first_value(last_actual_year) OVER (PARTITION BY country_id, indicator_id, frequency
	239	+ ORDER BY priority, source_id, source_dataset, source_series_code) AS prio_last_year
	240	+ FROM series_src WHERE n_actual > 0
	241	+ ), pick AS (
	242	+ SELECT *, (last_actual_year > prio_last_year + {FRESHER_YEARS}) AS fresher,
	243	+ row_number() OVER (PARTITION BY country_id, indicator_id, frequency
	244	+ ORDER BY (last_actual_year > prio_last_year + {FRESHER_YEARS}) DESC,
	245	+ CASE WHEN last_actual_year > prio_last_year + {FRESHER_YEARS} THEN -last_actual_year END,
	246	+ priority, source_id, source_dataset, source_series_code) AS rn
	247	+ FROM actual
	248	+ )
	249	+ SELECT country_id, indicator_id, frequency, source_id, source_dataset, source_series_code,
	250	+ CASE WHEN fresher THEN 'fresher' ELSE 'priority' END AS merge_reason
	251	+ FROM pick WHERE rn = 1
	252	+ UNION ALL
	253	+ -- forecast-only series (no source has actual data): plain priority
	254	+ SELECT country_id, indicator_id, frequency, source_id, source_dataset, source_series_code, 'priority'
	255	+ FROM (SELECT *, row_number() OVER (PARTITION BY country_id, indicator_id, frequency
	256	+ ORDER BY priority, source_id, source_dataset, source_series_code) AS rn
	257	+ FROM series_src s
	258	+ WHERE NOT EXISTS (SELECT 1 FROM series_src a WHERE a.country_id = s.country_id AND a.indicator_id = s.indicator_id
	259	+ AND a.frequency = s.frequency AND a.n_actual > 0))
	260	+ WHERE rn = 1;
	261	+
205	262	CREATE TEMP TABLE ranked AS
206		− SELECT *, row_number() OVER (PARTITION BY country_id, indicator_id, period, frequency
207		− ORDER BY priority, source_id, source_dataset, source_series_code) AS rn
208		− FROM staging_all;
209		− INSERT INTO observations SELECT {cols.replace('metadata', 'metadata::JSON')} FROM ranked WHERE rn = 1;
210		− INSERT INTO observations_alt SELECT {cols.replace('metadata', 'metadata::JSON')} FROM ranked WHERE rn > 1;
	263	+ SELECT s.*, c.merge_reason,
	264	+ row_number() OVER (PARTITION BY s.country_id, s.indicator_id, s.period, s.frequency
	265	+ ORDER BY s.source_id, s.source_dataset, s.source_series_code) AS rn
	266	+ FROM staging_all s
	267	+ JOIN chosen c ON c.country_id = s.country_id AND c.indicator_id = s.indicator_id AND c.frequency = s.frequency
	268	+ AND c.source_id = s.source_id AND c.source_dataset = s.source_dataset
	269	+ AND c.source_series_code = s.source_series_code;
	270	+
	271	+ INSERT INTO observations
	272	+ SELECT {cols.replace('metadata', "json_merge_patch(coalesce(metadata, '{}')::JSON, json_object('merge_reason', merge_reason))")}
	273	+ FROM ranked WHERE rn = 1;
	274	+
	275	+ INSERT INTO observations_alt
	276	+ SELECT {cols.replace('metadata', 'metadata::JSON')} FROM staging_all s
	277	+ WHERE NOT EXISTS (SELECT 1 FROM ranked r WHERE r.country_id = s.country_id AND r.indicator_id = s.indicator_id
	278	+ AND r.period = s.period AND r.frequency = s.frequency AND r.source_id = s.source_id
	279	+ AND r.source_dataset = s.source_dataset AND r.source_series_code = s.source_series_code AND r.rn = 1);
211	280	DROP TABLE ranked;
212	281	"""
213	282	)
214	283	n = con.execute("SELECT count(*) FROM observations").fetchone()[0]
215	284	n_alt = con.execute("SELECT count(*) FROM observations_alt").fetchone()[0]
216		− return n, n_alt
	285	+ n_fresher = con.execute("SELECT count(*) FROM chosen WHERE merge_reason = 'fresher'").fetchone()[0]
	286	+ return n, n_alt, n_fresher
217	287
218	288
219	289	def _carry_revisions(con: duckdb.DuckDBPyConnection, previous_db: Path, run_id: str) -> tuple[int, int]:
		`@@ -326,8 +396,10 @@ def build(run_id: str \| None = None, strict: bool = True, swap: bool = True) ->`
326	396	build_path = settings.build_dir / f"atlas-{run_id}.duckdb"
327	397	for stale in settings.build_dir.glob("atlas-.duckdb"):
328	398	stale.unlink(missing_ok=True)
329		− files = list_staging_files()
330		− log.info("build %s: %d staging files → %s", run_id, len(files), build_path)
	399	+ files, orphans = _current_staging_files()
	400	+ for o in orphans: # spec removed/renamed in the registry since the file was staged → must not leak into the snapshot
	401	+ log.warning("ignoring orphan staging file (no matching source spec in the registry): %s", o)
	402	+ log.info("build %s: %d staging files (%d orphans ignored) → %s", run_id, len(files), len(orphans), build_path)
331	403	counts: dict[str, int] = {}
332	404	warnings: list[str] = []
333	405	con = duckdb.connect(str(build_path))
		`@@ -337,7 +409,7 @@ def build(run_id: str \| None = None, strict: bool = True, swap: bool = True) ->`
337	409	_timer("registry tables", t0)
338	410
339	411	counts["staging_rows"] = _load_staging(con, files)
340		− counts["observations"], counts["observations_alt"] = _merge_observations(con)
	412	+ counts["observations"], counts["observations_alt"], counts["series_fresher_source"] = _merge_observations(con)
341	413	_timer("merge observations", t0)
342	414
343	415	counts["revisions_new"], counts["revisions_carried"] = _carry_revisions(con, settings.db_path, run_id)
		`@@ -357,7 +429,7 @@ def build(run_id: str \| None = None, strict: bool = True, swap: bool = True) ->`
357	429	series = con.execute(
358	430	"SELECT country_id, indicator_id, period, year, value FROM obs_ok ORDER BY country_id, indicator_id, period"
359	431	).pl()
360		− ch, ev = compute_changes_and_events(series, ind_by_id)
	432	+ ch, ev = compute_changes_and_events(series, ind_by_id, headline_ids=set(registry.topics()["headline"]))
361	433	con.register("df_changes", ch)
362	434	con.register("df_events", ev)
363	435	con.execute("INSERT INTO changes SELECT id, country_id, indicator_id, kind, period, year, value, ref_value, delta, "

modified src/countryatlas/pipeline/changes.py +83 −16

		`@@ -33,8 +33,11 @@ RECORD_MIN_POINTS = 10`
33	33	N_YEAR_WINDOWS = (30, 20, 10)
34	34	DEFAULT_REL_FLOOR = 0.05 # 5 % for level series without change_floor
35	35	DEFAULT_RANGE_FLOOR = 0.02 # 2 % of the series range for other series without change_floor
	36	+MIN_POINTS_FLOOR = 0.5 # percent-like indicators without change_floor: at least 0.5 point
36	37	MAX_EVENTS_PER_SERIES = 30
37	38	MIN_SCALE_RATIO = 0.25 # lower bound of the robust scale, as a fraction of the floor (see _scale)
	39	+RECENT_YEARS_FROM_MAX = 2 # a change must be within 2 years of the indicator's latest year in the snapshot…
	40	+RECENT_YEARS_FROM_NOW = 3 # …and within 3 years of today
38	41	RECORD_GAP_YEARS = 5
39	42	SIGN_FLIP_HINTS = ("growth", "balance", "net-migration", "inflation", "change")
40	43
		`@@ -72,7 +75,10 @@ def _floor(ind: Indicator, values: np.ndarray, mode: str) -> tuple[float, bool]:`
72	75	if mode == "relative":
73	76	return DEFAULT_REL_FLOOR, False
74	77	rng = float(np.nanmax(values) - np.nanmin(values)) if len(values) else 0.0
75		− return (DEFAULT_RANGE_FLOOR * rng if rng > 0 else 0.0), False
	78	+ floor = DEFAULT_RANGE_FLOOR * rng if rng > 0 else 0.0
	79	+ if mode == "points": # a share/rate must move at least half a point to be news
	80	+ floor = max(floor, MIN_POINTS_FLOOR)
	81	+ return floor, False
76	82
77	83
78	84	def _robust(d: np.ndarray) -> tuple[float, float]:
		`@@ -128,10 +134,51 @@ def _row(`
128	134	"window_years": window,
129	135	"severity": float(min(1.0, max(0.0, severity))),
130	136	"headline": headline,
131		− "detail": json.dumps(detail, default=str),
	137	+ "detail": detail, # dict here; serialised by _finalize once the importance weight is applied
132	138	}
133	139
134	140
	141	+def _finalize(rows: list[dict[str, Any]], weight: float) -> list[dict[str, Any]]:
	142	+ """Apply the indicator importance weight (headline 1.0 / featured 0.9 / other 0.7) and serialise `detail`."""
	143	+ for r in rows:
	144	+ raw = r["severity"]
	145	+ r["detail"] = json.dumps({**r["detail"], "weight": weight, "raw_severity": round(raw, 4)}, default=str)
	146	+ r["severity"] = float(min(1.0, raw * weight))
	147	+ return rows
	148	+
	149	+
	150	+def indicator_weight(ind: Indicator, headline_ids: set[str]) -> float:
	151	+ if ind.slug in headline_ids:
	152	+ return 1.0
	153	+ return 0.9 if ind.featured else 0.7
	154	+
	155	+
	156	+def _is_monotone(v: np.ndarray) -> bool:
	157	+ """Whole-history monotone (non-decreasing or non-increasing): every point is a 'record' → nothing newsworthy."""
	158	+ dv = np.diff(v)
	159	+ dv = dv[np.isfinite(dv)]
	160	+ return len(dv) > 0 and (bool(np.all(dv >= 0)) or bool(np.all(dv <= 0)))
	161	+
	162	+
	163	+def _yoy_severity(z: float, magnitude: float, floor: float, floor_abs: bool) -> float:
	164	+ """Blend of z-score and real-world magnitude; when the registry defines a change_floor the magnitude dominates."""
	165	+ z_part = min(1.0, abs(z) / 4.0)
	166	+ if floor_abs:
	167	+ return 0.3 * z_part + 0.7 * min(1.0, magnitude / (3.0 * floor))
	168	+ return 0.6 * z_part + 0.4 * min(1.0, magnitude / (2.0 * floor))
	169	+
	170	+
	171	+def _record_severity(n: int, cur: float, prev_record: float, floor: float, floor_abs: bool, mode: str) -> float:
	172	+ """0.5 base + series length (≤ 0.25) + how far the record was beaten in floor units (≤ 0.25)."""
	173	+ if floor <= 0:
	174	+ exceed = 0.0
	175	+ elif floor_abs or mode != "relative":
	176	+ exceed = abs(cur - prev_record) / (2.0 * floor)
	177	+ else:
	178	+ exceed = abs(np.log(cur / prev_record)) / (2.0 * floor) if cur > 0 and prev_record > 0 else 0.0
	179	+ return 0.5 + 0.25 * min(1.0, n / 100.0) + 0.25 * min(1.0, exceed)
	180	+
	181	+
135	182	# ------------------------------------------------------------------------------------------------ changes (latest)
136	183	def detect_changes(s: Series, ind: Indicator) -> list[dict[str, Any]]:
137	184	n = len(s.values)
		`@@ -171,7 +218,7 @@ def detect_changes(s: Series, ind: Indicator) -> list[dict[str, Any]]:`
171	218	since_txt = f"largest {'rise' if dl > 0 else 'drop'} since {since_year}"
172	219	else:
173	220	since_txt = f"largest {'rise' if dl > 0 else 'drop'} on record"
174		− sev = 0.6 * min(1.0, abs(z) / 4.0) + 0.4 * min(1.0, magnitude / (2 * floor))
	221	+ sev = _yoy_severity(z, magnitude, floor, floor_abs)
175	222	delta_txt = fmt_delta(cur - prev, _pct(cur, prev), ind)
176	223	headline = f"{name} {verb} {delta_txt} to {fmt_value(cur, ind)} in {year} ({since_txt})."
177	224	out.append(
		`@@ -180,20 +227,20 @@ def detect_changes(s: Series, ind: Indicator) -> list[dict[str, Any]]:`
180	227	"n_points": n, "prev_year": int(s.years[i - 1])}, 1, "changes")
181	228	)
182	229
183		− # --- record high / low, N-year high / low -----------------------------------------------------------------
184		− if n >= RECORD_MIN_POINTS:
	230	+ # --- record high / low, N-year high / low (skipped for monotone series: every point would be a record) --------
	231	+ if n >= RECORD_MIN_POINTS and not _is_monotone(v):
185	232	past = v[:-1]
186	233	pmax, pmin = float(np.nanmax(past)), float(np.nanmin(past))
187	234	first_year = int(s.years[0])
188	235	if cur > pmax:
189		− sev = 0.6 + min(0.4, n / 150.0)
	236	+ sev = _record_severity(n, cur, pmax, floor, floor_abs, mode)
190	237	out.append(
191	238	_row(s, ind, "record_high", i, pmax, sev,
192	239	f"{name} reached a record high of {fmt_value(cur, ind)} in {year} (series since {first_year}).",
193	240	{"previous_max": pmax, "n_points": n, "first_year": first_year}, n, "changes")
194	241	)
195	242	elif cur < pmin:
196		− sev = 0.6 + min(0.4, n / 150.0)
	243	+ sev = _record_severity(n, cur, pmin, floor, floor_abs, mode)
197	244	out.append(
198	245	_row(s, ind, "record_low", i, pmin, sev,
199	246	f"{name} fell to a record low of {fmt_value(cur, ind)} in {year} (series since {first_year}).",
		`@@ -274,13 +321,13 @@ def detect_events(s: Series, ind: Indicator) -> list[dict[str, Any]]:`
274	321	prev, cur = float(v[i - 1]), float(v[i])
275	322	kind = "yoy_jump" if d[j] > 0 else "yoy_drop"
276	323	verb = "rose" if d[j] > 0 else "fell"
277		− sev = 0.6 * min(1.0, abs(float(z[j])) / 4.0) + 0.4 * min(1.0, float(magnitude[j]) / (2 * floor))
	324	+ sev = _yoy_severity(float(z[j]), float(magnitude[j]), floor, floor_abs)
278	325	headline = f"{name} {verb} {fmt_delta(cur - prev, _pct(cur, prev), ind)} to {fmt_value(cur, ind)} in {int(s.years[i])}."
279	326	out.append(_row(s, ind, kind, i, prev, sev, headline,
280	327	{"z": round(float(z[j]), 2), "mode": mode, "prev_year": int(s.years[i - 1])}, 1, "events"))
281	328
282	329	# Records reached after a gap of ≥ RECORD_GAP_YEARS years since the previous record (monotone series stay quiet)
283		− if n >= RECORD_MIN_POINTS:
	330	+ if n >= RECORD_MIN_POINTS and not _is_monotone(v):
284	331	run_max = np.maximum.accumulate(v)
285	332	run_min = np.minimum.accumulate(v)
286	333	last_max_year = int(s.years[0])
		`@@ -338,23 +385,43 @@ def iter_series(df: pl.DataFrame):`
338	385	yield Series(str(countries[a]), str(indicators[a]), periods[a:b], years[a:b], values[a:b])
339	386
340	387
341		−def compute_changes_and_events(df: pl.DataFrame, indicators: dict[str, Indicator]) -> tuple[pl.DataFrame, pl.DataFrame]:
342		− """df: non-forecast, non-quarantined observations (country_id, indicator_id, period, year, value)."""
	388	+def compute_changes_and_events(
	389	+ df: pl.DataFrame, indicators: dict[str, Indicator], headline_ids: set[str] \| None = None, now: datetime \| None = None
	390	+) -> tuple[pl.DataFrame, pl.DataFrame]:
	391	+ """df: non-forecast, non-quarantined observations (country_id, indicator_id, period, year, value).
	392	+
	393	+ `changes` are RECENT by construction: a detection at the latest period of a series is kept only if that period is
	394	+ within RECENT_YEARS_FROM_MAX of the indicator's global max year in the snapshot AND within RECENT_YEARS_FROM_NOW of
	395	+ the current year (a series that stopped in 2008 produces events, not changes). Indicators tagged `cumulative` are
	396	+ skipped entirely. Severity is multiplied by the indicator importance weight (see indicator_weight).
	397	+ """
	398	+ headline_ids = headline_ids or set()
	399	+ now = now or datetime.now(UTC)
343	400	changes: list[dict[str, Any]] = []
344	401	events: list[dict[str, Any]] = []
345		− n_series = 0
	402	+ n_series = n_skipped = 0
	403	+ max_year: dict[str, int] = {}
	404	+ if not df.is_empty():
	405	+ max_year = {r[0]: int(r[1]) for r in df.group_by("indicator_id").agg(pl.col("year").max()).iter_rows()}
346	406	for s in iter_series(df):
347	407	ind = indicators.get(s.indicator_id)
348	408	if ind is None:
349	409	continue
	410	+ if "cumulative" in (ind.tags or []):
	411	+ n_skipped += 1
	412	+ continue
350	413	n_series += 1
	414	+ weight = indicator_weight(ind, headline_ids)
351	415	try:
352		− changes.extend(detect_changes(s, ind))
353		− events.extend(detect_events(s, ind))
	416	+ recent_from = max(max_year.get(s.indicator_id, 0) - RECENT_YEARS_FROM_MAX, now.year - RECENT_YEARS_FROM_NOW)
	417	+ if int(s.years[-1]) >= recent_from:
	418	+ changes.extend(_finalize(detect_changes(s, ind), weight))
	419	+ events.extend(_finalize(detect_events(s, ind), weight))
354	420	except Exception:
355	421	log.exception("detector failed for %s/%s", s.country_id, s.indicator_id)
356		− log.info("detectors: %d series → %d changes, %d events", n_series, len(changes), len(events))
357		− detected_at = datetime.now(UTC).replace(tzinfo=None)
	422	+ log.info("detectors: %d series (%d cumulative skipped) → %d changes, %d events", n_series, n_skipped, len(changes),
	423	+ len(events))
	424	+ detected_at = now.replace(tzinfo=None)
358	425	schema = {
359	426	"id": pl.Utf8, "country_id": pl.Utf8, "indicator_id": pl.Utf8, "kind": pl.Utf8, "period": pl.Date,
360	427	"year": pl.Int32, "value": pl.Float64, "ref_value": pl.Float64, "delta": pl.Float64, "delta_pct": pl.Float64,

modified tests/test_build.py +25 −7

		`@@ -16,11 +16,16 @@ COUNTRIES = ["CAN", "USA", "FRA", "DEU", "JPN", "BRA", "IND", "NGA", "AUS", "MEX`
16	16	"ZAF", "EGY", "TUR", "ARG", "IDN", "SWE", "NOR", "CHL", "POL"]
17	17
18	18
19		−def _stage(spec: IndicatorSourceSpec, unit: str, base: float, growth: float, years: range, forecast_from: int \| None = None) -> None:
	19	+def _stage(spec: IndicatorSourceSpec, unit: str, base: float, growth: float, years: range, forecast_from: int \| None = None,
	20	+ skip: tuple[str, ...] = (), stop_at: dict[str, int] \| None = None) -> None:
20	21	now = datetime.now(UTC)
21	22	rows = []
22	23	for k, c in enumerate(COUNTRIES):
	24	+ if c in skip:
	25	+ continue
23	26	for y in years:
	27	+ if stop_at and c in stop_at and y > stop_at[c]:
	28	+ continue
24	29	v = base * (1 + 0.05 * k) * (growth ** (y - years.start))
25	30	rows.append(NormalizedObservation(country_id=c, indicator_id=spec.indicator_id, period=date(y, 1, 1), year=y,
26	31	frequency="A", value=v, unit=unit, source_id=spec.connector,
		`@@ -33,9 +38,10 @@ def _stage(spec: IndicatorSourceSpec, unit: str, base: float, growth: float, yea`
33	38
34	39
35	40	def _tiny_staging() -> None:
	41	+ # WB: no data for POL (IMF takes the whole series); CHL stops in 2018 (IMF is > 3 years fresher → "fresher")
36	42	wb = IndicatorSourceSpec(indicator_id="gdp-per-capita", connector="worldbank", dataset="WDI", code="NY.GDP.PCAP.CD")
37		− _stage(wb, "current US$", 10_000, 1.03, range(2000, 2025))
38		− # a lower-priority alternative source for the same indicator → observations_alt
	43	+ _stage(wb, "current US$", 10_000, 1.03, range(2000, 2025), skip=("POL",), stop_at={"CHL": 2018})
	44	+ # a lower-priority alternative source for the same indicator (complete series → observations_alt where WB wins)
39	45	imf = IndicatorSourceSpec(indicator_id="gdp-per-capita", connector="imf", dataset="WEO", code="NGDPDPC", priority=2)
40	46	_stage(imf, "current US$", 10_100, 1.03, range(2000, 2027), forecast_from=2025)
41	47	pop = IndicatorSourceSpec(indicator_id="population", connector="worldbank", dataset="WDI", code="SP.POP.TOTL")
		`@@ -63,9 +69,19 @@ def test_build_tiny_staging_produces_all_tables() -> None:`
63	69	assert t in tables, t
64	70	n_obs = con.execute("SELECT count(*) FROM observations").fetchone()[0]
65	71	n_alt = con.execute("SELECT count(*) FROM observations_alt").fetchone()[0]
66		− assert n_obs > 0 and n_alt > 0 # IMF rows lose the priority race where WB has a value
67		− # forecasts kept in observations but excluded from latest/rankings
68		− assert con.execute("SELECT count(*) FROM observations WHERE is_forecast").fetchone()[0] > 0
	72	+ assert n_obs > 0 and n_alt > 0 # IMF series lose the priority race where WB has data
	73	+ # one source per (country, indicator, frequency) series — never spliced
	74	+ assert con.execute("SELECT count(*) FROM (SELECT country_id, indicator_id, frequency FROM observations "
	75	+ "GROUP BY ALL HAVING count(DISTINCT source_id) > 1)").fetchone()[0] == 0
	76	+ assert con.execute("SELECT count(*) FROM observations_alt WHERE country_id='CAN' AND source_id='imf'").fetchone()[0] == 27
	77	+ src = dict(con.execute("SELECT country_id, source_id FROM observations WHERE indicator_id='gdp-per-capita' "
	78	+ "GROUP BY ALL").fetchall())
	79	+ assert src["CAN"] == "worldbank" and src["POL"] == "imf" and src["CHL"] == "imf"
	80	+ reasons = dict(con.execute("SELECT country_id, json_extract_string(metadata, '$.merge_reason') FROM observations "
	81	+ "WHERE indicator_id='gdp-per-capita' GROUP BY ALL").fetchall())
	82	+ assert reasons["CAN"] == "priority" and reasons["POL"] == "priority" and reasons["CHL"] == "fresher"
	83	+ # forecasts (from the chosen source) kept in observations but excluded from latest/rankings
	84	+ assert con.execute("SELECT count() FROM observations WHERE is_forecast").fetchone()[0] == 2 2
69	85	assert con.execute("SELECT count(*) FROM latest WHERE is_forecast").fetchone()[0] == 0
70	86	assert con.execute("SELECT max(year) FROM latest WHERE indicator_id='gdp-per-capita'").fetchone()[0] == 2024
71	87	lat = con.execute("SELECT rank_world, n_world, change_10y_pct FROM latest WHERE country_id='CAN' AND indicator_id='gdp-per-capita'").fetchone()
		`@@ -79,6 +95,7 @@ def test_build_tiny_staging_produces_all_tables() -> None:`
79	95	assert con.execute("SELECT count(*) FROM insights").fetchone()[0] > 0
80	96	assert con.execute("SELECT count(*) FROM country_dna").fetchone()[0] > 0
81	97	assert con.execute("SELECT count(*) FROM import_runs").fetchone()[0] == 6
	98	+ assert r.counts["series_fresher_source"] == 1
82	99	meta = dict(con.execute("SELECT key, value FROM meta").fetchall())
83	100	assert meta["schema_version"] == "1" and meta["build_run_id"] == "20260101T000000Z"
84	101	assert int(meta["observation_count"]) == n_obs
		`@@ -137,6 +154,7 @@ def test_export_helpers(tmp_path: Path) -> None:`
137	154
138	155	p = export_indicator("gdp-per-capita", "json", tmp_path)
139	156	doc = json.loads(p.read_bytes())
140		− assert doc["meta"]["run_id"] == "20260101T000000Z" and len(doc["rows"]) == len(COUNTRIES) * 27
	157	+ # 22 WB series × 25 years + POL and CHL taken whole from IMF (27 rows each, incl. 2 forecasts)
	158	+ assert doc["meta"]["run_id"] == "20260101T000000Z" and len(doc["rows"]) == 22 * 25 + 2 * 27
141	159	c = export_country("CAN", "csv", tmp_path)
142	160	assert c.exists() and c.read_text().count("\n") > 50

modified tests/test_changes.py +34 −0

		`@@ -4,6 +4,7 @@ from datetime import date`
4	4
5	5	import numpy as np
6	6	import polars as pl
	7	+import pytest
7	8
8	9	from countryatlas.pipeline.changes import Series, compute_changes_and_events, detect_changes, detect_events
9	10	from countryatlas.registry import indicators_by_id
		`@@ -37,6 +38,7 @@ def test_floor_blocks_small_moves() -> None:`
37	38	def test_record_high_and_relative_headline() -> None:
38	39	ind = indicators_by_id()["gdp-per-capita"]
39	40	vals = [1000 * 1.03**k for k in range(15)]
	41	+ vals[5] *= 0.9 # a dip: the series must not be monotone, otherwise records are (rightly) not newsworthy
40	42	vals[-1] = vals[-2] * 1.25
41	43	out = detect_changes(_series("gdp-per-capita", vals), ind)
42	44	kinds = {r["kind"] for r in out}
		`@@ -56,6 +58,38 @@ def test_sign_flip_and_events_history() -> None:`
56	58	assert any(r["kind"] == "yoy_drop" and r["year"] == 2006 for r in ev)
57	59
58	60
	61	+def test_monotone_and_cumulative_series_are_silent() -> None:
	62	+ inds = indicators_by_id()
	63	+ vals = [100.0 * 1.02**k for k in range(30)] # strictly increasing: every point is a "record"
	64	+ ch = detect_changes(_series("population", vals), inds["population"])
	65	+ assert not any(r["kind"] in ("record_high", "n_year_high") for r in ch)
	66	+ rows = [{"country_id": "CAN", "indicator_id": "cumulative-co2", "period": date(1990 + k, 1, 1), "year": 1990 + k, "value": v}
	67	+ for k, v in enumerate(vals)]
	68	+ ch2, ev2 = compute_changes_and_events(pl.DataFrame(rows), inds)
	69	+ assert ch2.height == 0 and ev2.height == 0
	70	+
	71	+
	72	+def test_changes_are_recent_and_weighted() -> None:
	73	+ inds = indicators_by_id()
	74	+ old = [2.0, 2.1, 1.9, 2.2, 2.0, 2.3, 2.1, 2.0, 6.8, 3.4] # series ends in 2008
	75	+ rows = [{"country_id": "CAN", "indicator_id": "inflation", "period": date(1999 + k, 1, 1), "year": 1999 + k, "value": v}
	76	+ for k, v in enumerate(old)]
	77	+ rows += [{"country_id": "FRA", "indicator_id": "inflation", "period": date(2016 + k, 1, 1), "year": 2016 + k, "value": v}
	78	+ for k, v in enumerate(old)]
	79	+ from datetime import UTC, datetime
	80	+
	81	+ ch, ev = compute_changes_and_events(pl.DataFrame(rows), inds, headline_ids={"inflation"}, now=datetime(2026, 9, 1, tzinfo=UTC))
	82	+ assert set(ch["country_id"].to_list()) == {"FRA"} # Canada's 2008 drop is an event, not a change
	83	+ assert "CAN" in set(ev["country_id"].to_list())
	84	+ import json
	85	+
	86	+ d = json.loads(ch["detail"][0])
	87	+ assert d["weight"] == 1.0 and "raw_severity" in d
	88	+ ch_w, _ = compute_changes_and_events(pl.DataFrame(rows), inds, headline_ids=set(), now=datetime(2026, 9, 1, tzinfo=UTC))
	89	+ assert json.loads(ch_w["detail"][0])["weight"] == 0.9 # inflation is featured but not headline here
	90	+ assert ch_w["severity"][0] == pytest.approx(min(1.0, d["raw_severity"] * 0.9), rel=1e-3)
	91	+
	92	+
59	93	def test_driver_over_frame() -> None:
60	94	inds = indicators_by_id()
61	95	rows = []
62	96