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* @module data-transformers/content-generators/economic-dashboard-section
* @description Generates an embeddable economic dashboard section powered by
* World Bank data indicators. Automatically selects relevant indicators based
* on detected policy domains in the article content, creating Chart.js
* dashboards with Nordic country comparisons.
*
* Used by agentic workflows and deep inspection analysis to add economic
* context dashboards to articles when policy areas match World Bank indicators.
*
* @author Hack23 AB
* @license Apache-2.0
*/
import { escapeHtml } from '../../html-utils.js';
import type { Language } from '../../types/language.js';
import type {
TemplateSection,
DashboardChartConfig,
DashboardTableConfig,
} from '../../types/article.js';
import {
type EconomicIndicatorContext,
findRelevantIndicators,
getEconomicHeading,
NORDIC_COMPARISON,
} from '../../world-bank-context.js';
import { generateDashboardSection } from './dashboard-section.js';
// ---------------------------------------------------------------------------
// Types
// ---------------------------------------------------------------------------
/** A World Bank data point for dashboard rendering */
export interface EconomicDataPoint {
/** Country code (e.g. 'SWE', 'DNK') */
countryCode: string;
/** Country name */
countryName: string;
/** Indicator ID */
indicatorId: string;
/** Year or date string */
date: string;
/** Numeric value */
value: number;
}
/** Options for the economic dashboard section generator */
export interface EconomicDashboardOptions {
/** Policy domains detected in the article (e.g. ['fiscal', 'defence']) */
policyDomains: string[];
/** Optional pre-fetched World Bank data points */
dataPoints?: EconomicDataPoint[];
/** Target language */
lang: Language | string;
/** Custom title override */
title?: string;
/** Optional narrative summary */
summary?: string;
}
// ---------------------------------------------------------------------------
// Helpers
// ---------------------------------------------------------------------------
/** Sanitize an indicator ID into a safe HTML element id */
function sanitizeChartId(indicatorId: string): string {
return indicatorId.replace(/[^a-zA-Z0-9]/g, '-').toLowerCase();
}
const COUNTRY_COLORS: Readonly<Record<string, string>> = {
SWE: '#00d9ff', // Cyan (primary)
DNK: '#ff006e', // Magenta
NOR: '#ffbe0b', // Yellow
FIN: '#83cf39', // Green
DEU: '#9d4edd', // Purple
};
const COUNTRY_BORDER_COLORS: Readonly<Record<string, string>> = {
SWE: '#00b8d4',
DNK: '#d4004e',
NOR: '#d4a00b',
FIN: '#6daf2d',
DEU: '#7d3ebd',
};
// ---------------------------------------------------------------------------
// Helper functions
// ---------------------------------------------------------------------------
/**
* Sort data points into a stable order based on NORDIC_COMPARISON.countries,
* falling back to alphabetical country name for any unknown codes.
*/
function sortByNordicOrder(pts: EconomicDataPoint[]): EconomicDataPoint[] {
const order = NORDIC_COMPARISON.countries;
return [...pts].sort((a, b) => {
const idxA = order.indexOf(a.countryCode);
const idxB = order.indexOf(b.countryCode);
Eif (idxA !== -1 && idxB !== -1) return idxA - idxB;
if (idxA !== -1) return -1;
if (idxB !== -1) return 1;
return a.countryName.localeCompare(b.countryName);
});
}
/**
* Find relevant World Bank indicators for a set of policy domains.
*/
export function findIndicatorsForDomains(domains: string[]): EconomicIndicatorContext[] {
const seen = new Set<string>();
const result: EconomicIndicatorContext[] = [];
for (const domain of domains) {
for (const indicator of findRelevantIndicators(domain)) {
if (!seen.has(indicator.indicatorId)) {
seen.add(indicator.indicatorId);
result.push(indicator);
}
}
}
return result;
}
/**
* Build Chart.js chart configurations from economic data points.
* Groups data by indicator and creates bar charts comparing Nordic countries,
* radar charts for multi-indicator overviews, and line charts for trends.
*/
export function buildEconomicCharts(
indicators: EconomicIndicatorContext[],
dataPoints: EconomicDataPoint[],
): DashboardChartConfig[] {
const charts: DashboardChartConfig[] = [];
// Track indicators with latest-year bar data for potential radar chart
const radarLabels: string[] = [];
const radarDataByCountry = new Map<string, number[]>();
for (const indicator of indicators) {
const points = dataPoints.filter(p => p.indicatorId === indicator.indicatorId);
if (points.length === 0) continue;
// Group by country for comparison chart
const byCountry = new Map<string, EconomicDataPoint[]>();
for (const p of points) {
if (!byCountry.has(p.countryCode)) byCountry.set(p.countryCode, []);
byCountry.get(p.countryCode)!.push(p);
}
// Get latest year's data for comparison bar chart
const latestYear = points.reduce((max, p) => p.date > max ? p.date : max, '');
const latestPoints = points.filter(p => p.date === latestYear);
Eif (latestPoints.length > 0) {
const sorted = sortByNordicOrder(latestPoints);
const labels = sorted.map(p =>
NORDIC_COMPARISON.countryNames[p.countryCode] ?? p.countryName
);
const data = sorted.map(p => p.value);
const bgColors = sorted.map(p => COUNTRY_COLORS[p.countryCode] ?? '#888');
const borderColors = sorted.map(p => COUNTRY_BORDER_COLORS[p.countryCode] ?? '#666');
const idBase = sanitizeChartId(indicator.indicatorId);
// Compute average for annotation
const avg = data.reduce((s, v) => s + v, 0) / data.length;
charts.push({
id: `econ-${idBase}`,
type: 'bar',
title: `${indicator.name} (${latestYear})`,
labels,
datasets: [{
label: `${indicator.name} (${indicator.unit})`,
data,
backgroundColor: bgColors,
borderColor: borderColors,
borderWidth: 1,
}],
annotations: [{
type: 'line',
value: Math.round(avg * 100) / 100,
label: `Avg: ${avg.toFixed(1)}`,
borderColor: 'rgba(255,190,11,0.6)',
}],
});
// Collect data for radar chart
radarLabels.push(indicator.name);
for (const p of sorted) {
Eif (!radarDataByCountry.has(p.countryCode)) {
radarDataByCountry.set(p.countryCode, []);
}
radarDataByCountry.get(p.countryCode)!.push(p.value);
}
}
// If we have multi-year data, add a trend line chart
const swedenPoints = (byCountry.get('SWE') ?? []).sort((a, b) => a.date.localeCompare(b.date));
if (swedenPoints.length >= 3) {
const trendLabels = swedenPoints.map(p => p.date);
const trendData = swedenPoints.map(p => p.value);
const idBase = sanitizeChartId(indicator.indicatorId);
charts.push({
id: `econ-trend-${idBase}`,
type: 'line',
title: `Sweden: ${indicator.name} Trend`,
labels: trendLabels,
datasets: [{
label: `Sweden ${indicator.name} (${indicator.unit})`,
data: trendData,
backgroundColor: 'rgba(0, 217, 255, 0.2)',
borderColor: '#00d9ff',
borderWidth: 2,
}],
});
}
}
// Add radar overview chart when we have 3+ indicators with cross-country data
Iif (radarLabels.length >= 3 && radarDataByCountry.size >= 2) {
// Normalize values per indicator to 0–100 scale for radar comparability
const normed = normalizeRadarData(radarLabels, radarDataByCountry);
const radarDatasets: DashboardChartConfig['datasets'] = [];
const countryOrder = NORDIC_COMPARISON.countries;
for (const code of countryOrder) {
if (!normed.has(code)) continue;
const color = COUNTRY_COLORS[code] ?? '#888';
radarDatasets.push({
label: NORDIC_COMPARISON.countryNames[code] ?? code,
data: normed.get(code)!,
backgroundColor: `${color}33`, // 20% opacity
borderColor: color,
borderWidth: 2,
});
}
if (radarDatasets.length >= 2) {
charts.push({
id: 'econ-radar-overview',
type: 'radar',
title: 'Nordic Economic Comparison',
labels: radarLabels,
datasets: radarDatasets,
});
}
}
return charts;
}
/**
* Normalize radar data so each indicator is scaled to 0–100 for visual comparability.
* Higher is "better" for all indicators after normalization.
*/
function normalizeRadarData(
labels: string[],
dataByCountry: Map<string, number[]>,
): Map<string, number[]> {
const result = new Map<string, number[]>();
// Compute min/max per indicator column
const mins: number[] = [];
const maxs: number[] = [];
for (let i = 0; i < labels.length; i++) {
let min = Infinity;
let max = -Infinity;
for (const values of dataByCountry.values()) {
const v = values[i] ?? 0;
if (v < min) min = v;
if (v > max) max = v;
}
mins.push(min);
maxs.push(max);
}
for (const [code, values] of dataByCountry.entries()) {
const normed: number[] = [];
for (let i = 0; i < labels.length; i++) {
const range = maxs[i] - mins[i];
const v = values[i] ?? 0;
normed.push(range > 0 ? Math.round(((v - mins[i]) / range) * 100) : 50);
}
result.set(code, normed);
}
return result;
}
/**
* Build data tables from economic data points for accessibility fallback.
* Table headers are localized based on the target language.
*/
export function buildEconomicTables(
indicators: EconomicIndicatorContext[],
dataPoints: EconomicDataPoint[],
lang: Language | string = 'en',
): DashboardTableConfig[] {
const tables: DashboardTableConfig[] = [];
const countryHeader = getEconomicHeading(lang, 'country');
const unitHeader = getEconomicHeading(lang, 'unit');
for (const indicator of indicators) {
const points = dataPoints.filter(p => p.indicatorId === indicator.indicatorId);
if (points.length === 0) continue;
const latestYear = points.reduce((max, p) => p.date > max ? p.date : max, '');
const latestPoints = points.filter(p => p.date === latestYear);
Eif (latestPoints.length > 0) {
const sorted = sortByNordicOrder(latestPoints);
tables.push({
caption: `${indicator.name} (${latestYear}) — ${indicator.unit}`,
headers: [countryHeader, indicator.name, unitHeader],
rows: sorted.map(p => [
NORDIC_COMPARISON.countryNames[p.countryCode] ?? p.countryName,
p.value.toFixed(2),
indicator.unit,
]),
});
}
}
return tables;
}
// ---------------------------------------------------------------------------
// Public API
// ---------------------------------------------------------------------------
/**
* Generate an economic dashboard section based on detected policy domains.
*
* Automatically finds relevant World Bank indicators for the given policy
* domains, builds Chart.js charts (comparison + trend), and generates
* accessible data tables.
*
* If no data points are provided but indicators are found, returns a
* placeholder section describing the relevant indicators (agentic workflows
* should fetch the actual data from World Bank API).
*
* @example
* ```ts
* const section = generateEconomicDashboardSection({
* policyDomains: ['fiscal policy', 'defense'],
* dataPoints: worldBankData,
* lang: 'en',
* });
* if (section) {
* articleData.sections = [...(articleData.sections ?? []), section];
* }
* ```
*/
export function generateEconomicDashboardSection(opts: EconomicDashboardOptions): TemplateSection | null {
const { policyDomains, dataPoints, lang } = opts;
// Find relevant indicators
const indicators = findIndicatorsForDomains(policyDomains);
if (indicators.length === 0) return null;
// Explicit empty dataPoints array signals "caller attempted to fetch
// World Bank data and got nothing back" — never fall back to the
// placeholder in that case, so the quality gate in
// `scripts/validate-economic-context.ts` can surface a hard failure
// instead of publishing a deceptive bullet list.
//
// A missing `dataPoints` key (undefined) still yields the placeholder
// to preserve legacy callers that have not yet been migrated to the
// load-economic-context loader.
if (Array.isArray(dataPoints) && dataPoints.length === 0) return null;
const headingText = opts.title?.trim() || getEconomicHeading(lang, 'economicContext');
// If we have actual data points, build charts
if (dataPoints && dataPoints.length > 0) {
const charts = buildEconomicCharts(indicators, dataPoints);
const tables = buildEconomicTables(indicators, dataPoints, lang);
if (charts.length === 0 && tables.length === 0) return null;
const section = generateDashboardSection({
data: {
title: headingText,
summary: opts.summary?.trim() || undefined,
charts,
tables: tables.length > 0 ? tables : undefined,
},
lang,
});
// Normalize id/className so both placeholder and data paths return
// consistent metadata (avoids DOM id collisions with generic dashboard).
return {
...section,
id: 'economic-dashboard',
className: 'economic-dashboard-section',
};
}
// No data points: generate a placeholder section describing relevant indicators
const indicatorItems = indicators.map(ind =>
` <li><strong>${escapeHtml(ind.name)}</strong> (${escapeHtml(ind.unit)}): ${escapeHtml(ind.description)}</li>`
).join('\n');
const policyLabel = getEconomicHeading(lang, 'policyImplications');
const html = `<section class="economic-dashboard-placeholder" aria-label="${escapeHtml(headingText)}">
<h2>${escapeHtml(headingText)}</h2>
<h3>${escapeHtml(policyLabel)}</h3>
<ul class="economic-indicators-list">
${indicatorItems}
</ul>
</section>`;
return {
id: 'economic-dashboard',
html,
className: 'economic-dashboard-section',
};
}
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