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2x 2x 6x 6x 6x 5x 5x 4x 4x 1x 1x 3x 3x 6x 3x 3x 3x 3x 3x 42x 42x 42x 42x 42x 42x 42x 42x 42x 42x 42x 42x 42x 3x 2x 2x 2x 11x 11x 11x 11x 11x 11x 11x 11x 11x 11x 11x 11x | /**
* @module generate-news-enhanced/generators
* @description Article generator functions for week-ahead, committee reports,
* propositions, and motions article types.
*
* @author Hack23 AB
* @license Apache-2.0
*/
import {
transformCalendarToEventGrid,
generateArticleContent,
extractWatchPoints,
generateMetadata,
calculateReadTime,
generateSources,
filterFreshDocuments,
type RawDocument,
} from '../data-transformers.js';
import {
generateStakeholderSwotSection,
generateDashboardSection,
generateEconomicDashboardSection,
generateMindmapSection,
generateSankeySection,
buildAIMindmapAnalysis,
buildMindmapOptionsFromAnalysis,
type SankeyNode,
type SankeyFlow,
} from '../data-transformers/index.js';
import { generateDeepAnalysisSection, localizeDocType } from '../data-transformers/content-generators/index.js';
import { generateDeepPolicyAnalysis, detectPolicyDomains } from '../data-transformers/policy-analysis.js';
import { escapeHtml } from '../html-utils.js';
import { generateArticleHTML } from '../article-template.js';
import { MCPClient } from '../mcp-client.js';
import type { Language } from '../types/language.js';
import type { GenerationResult, DateRange, ArticleCategory, TemplateSection, DashboardChartConfig, DashboardTableConfig } from '../types/article.js';
import type { TitleSet } from './types.js';
import fs from 'node:fs';
import path from 'node:path';
import { languages, stats, getSharedClient, requireMcp, toISODate, documentIds, documentUrls, focusTopic, analysisDepth, analysisIterations, METADATA_DIR } from './config.js';
import type { AnalysisDepth } from './config.js';
import {
getWeekAheadDateRange,
formatDateForSlug,
writeSingleArticle,
generateDynamicTitle,
getAnalysisEnrichment,
} from './helpers.js';
import { AIAnalysisPipeline } from './ai-analysis-pipeline.js';
import { sharedAnalysisCache } from './analysis-cache.js';
/** Metadata from analysis iteration (stub — analysis is now AI-driven in workflows) */
interface AnalysisIterationMetadata {
iteration?: number;
depth: AnalysisDepth;
enhancedSections?: string[];
articleSlug?: string;
lang?: string;
iterationsCompleted?: number;
iterationDurationsMs?: number[];
confidenceScore?: number;
validationResult?: unknown;
documentCount?: number;
enrichedCount?: number;
focusTopic?: string;
completedAt?: string;
}
// ---------------------------------------------------------------------------
// Stub functions replacing deleted analysis-generation modules.
// Per ai-driven-analysis-guide.md Rule 2, scripts must NOT generate analysis.
// The AI agent in agentic workflows now produces all political analysis.
// These stubs return empty data so the HTML formatting pipeline still works.
// ---------------------------------------------------------------------------
/** Stub: analysis is now AI-driven in workflows, not script-generated */
function buildAISwotStakeholders(_docs: unknown[], _topic: string, _lang: string): never[] {
return [];
}
/** Stub: analysis is now AI-driven in workflows, not script-generated */
function analyzeDashboardData(_docs: unknown[], _topic: string, _lang: string) {
return { charts: [] as DashboardChartConfig[], tables: [] as DashboardTableConfig[], summary: '' };
}
/** Stakeholder display names for mindmap/sankey labels */
const AI_STAKEHOLDER_NAMES: Record<string, Record<string, string>> = {
'government-coalition': { en: 'Government Coalition', sv: 'Regeringskoalitionen' },
'opposition': { en: 'Opposition', sv: 'Oppositionen' },
'private-sector': { en: 'Private Sector', sv: 'Näringslivet' },
};
// ---------------------------------------------------------------------------
// Shared article visualization builder
// ---------------------------------------------------------------------------
/**
* Build SWOT, dashboard, and economic TemplateSections for standard article
* types (not deep-inspection, which has its own richer builder).
*
* Produces 1–3 sections depending on available data:
* - SWOT stakeholder analysis (always, when docs.length >= 2)
* - Chart.js dashboard with document type breakdown (when docs.length >= 3)
* - Economic dashboard (when policyDomains match World Bank indicators)
*
* Each section is safe to append to `generateArticleHTML({ sections })`.
*/
export function buildArticleVisualizationSections(
docs: RawDocument[],
topic: string | null,
lang: Language,
): TemplateSection[] {
const sections: TemplateSection[] = [];
if (docs.length < 2) return sections;
try {
// ── 1. SWOT stakeholder analysis ──────────────────────────────────────
const stakeholders = buildAISwotStakeholders(docs, topic ?? '', lang);
Iif (stakeholders.length > 0) {
const swotSection = generateStakeholderSwotSection({ stakeholders, lang });
sections.push(swotSection);
}
} catch { /* graceful degradation */ }
try {
// ── 2. Chart.js dashboard (doc-type breakdown + AI analysis) ──────────
if (docs.length >= 3) {
const dashboardAnalysis = analyzeDashboardData(docs, topic ?? '', lang);
Iif (dashboardAnalysis.charts.length > 0 || dashboardAnalysis.tables.length > 0) {
const dashboardSection = generateDashboardSection({
data: {
title: 'Policy Analysis Dashboard',
summary: dashboardAnalysis.summary,
charts: dashboardAnalysis.charts,
tables: dashboardAnalysis.tables,
},
lang,
});
sections.push(dashboardSection);
}
}
} catch { /* graceful degradation */ }
try {
// ── 3. Economic dashboard (World Bank indicators for detected domains) ─
const allDomains = new Set<string>();
for (const d of docs) {
for (const dom of detectPolicyDomains(d, lang)) {
allDomains.add(dom);
}
}
Eif (allDomains.size > 0) {
const econSection = generateEconomicDashboardSection({
policyDomains: [...allDomains],
lang,
});
if (econSection) sections.push(econSection);
}
} catch { /* graceful degradation */ }
return sections;
}
// ---------------------------------------------------------------------------
// Generator functions
// ---------------------------------------------------------------------------
/**
* Generate Week Ahead article in specified languages
*/
export async function generateWeekAhead(): Promise<GenerationResult> {
console.log('📅 Generating Week Ahead article...');
try {
const client: MCPClient = await getSharedClient();
const dateRange: DateRange = getWeekAheadDateRange();
console.log(` 📆 Date range: ${dateRange.start} to ${dateRange.end}`);
// 1. Fetch calendar events from MCP
console.log(' 🔄 Fetching calendar events from riksdag-regering-mcp...');
const events: unknown[] = await client.fetchCalendarEvents(dateRange.start, dateRange.end);
console.log(` 📊 Found ${events.length} events`);
// 2. Fetch upcoming/recent documents
const rawDocs = await client.searchDocuments({ from_date: dateRange.start, to_date: dateRange.end, limit: 30 })
.catch((e: unknown) => { Eif (requireMcp) throw e; return [] as unknown[]; });
const documents: RawDocument[] = Array.isArray(rawDocs) ? rawDocs as RawDocument[] : [];
console.log(` 📊 Found ${documents.length} upcoming documents`);
// 3. Fetch parliamentary questions (fragor)
console.log(' 🔄 Fetching parliamentary questions...');
const rawQuestions = await client.fetchWrittenQuestions({ limit: 20 })
.catch((e: unknown) => { if (requireMcp) throw e; return [] as unknown[]; });
const questions: unknown[] = Array.isArray(rawQuestions) ? rawQuestions : [];
console.log(` 📊 Found ${questions.length} written questions`);
// 4. Fetch interpellations (interpellationer)
console.log(' 🔄 Fetching interpellations...');
const rawInterpellations = await client.fetchInterpellations({ limit: 15 })
.catch((e: unknown) => { if (requireMcp) throw e; return [] as unknown[]; });
const interpellations: RawDocument[] = Array.isArray(rawInterpellations) ? rawInterpellations as RawDocument[] : [];
console.log(` 📊 Found ${interpellations.length} interpellations`);
const today: Date = new Date();
const slug: string = `${formatDateForSlug(today)}-week-ahead`;
// 5. Load pre-computed analysis enrichment (classification, risk, confidence)
const enrichment = await getAnalysisEnrichment();
// 6. Generate for each requested language
for (const lang of languages) {
console.log(` 🌐 Generating ${lang.toUpperCase()} version...`);
// Transform data for this language
// MCP returns unknown[] — cast to match data-transformers' expected shapes
const eventGrid = transformCalendarToEventGrid(events as Parameters<typeof transformCalendarToEventGrid>[0], lang);
const weekData = {
events: events as Parameters<typeof transformCalendarToEventGrid>[0],
documents,
questions: questions as import('../data-transformers/types.js').RawDocument[],
interpellations: interpellations as import('../data-transformers/types.js').RawDocument[],
highlights: [] as Array<{title: string; description: string}>,
};
const content: string = generateArticleContent(weekData, 'week-ahead', lang);
const watchPoints = extractWatchPoints({ events: events as Parameters<typeof transformCalendarToEventGrid>[0], documents }, lang);
const metadata = generateMetadata({ events: events as Parameters<typeof transformCalendarToEventGrid>[0], documents }, 'week-ahead', lang);
const readTime: string = calculateReadTime(content);
const sources: string[] = generateSources(['get_calendar_events', 'search_dokument', 'get_fragor', 'get_interpellationer']);
// Language-specific titles
const titles: Record<Language, TitleSet> = {
en: { title: `Week Ahead: ${dateRange.start} to ${dateRange.end}`, subtitle: `Parliamentary calendar, committee meetings, and chamber debates for the coming week` },
sv: { title: `Vecka Framåt: ${dateRange.start} till ${dateRange.end}`, subtitle: `Riksdagens kalender, utskottsmöten och kammarens debatter för kommande vecka` },
da: { title: `Ugen Fremover: ${dateRange.start} til ${dateRange.end}`, subtitle: `Parlamentarisk kalender, udvalgsmøder og debatter for den kommende uge` },
no: { title: `Uke Fremover: ${dateRange.start} til ${dateRange.end}`, subtitle: `Parlamentarisk kalender, komitémøter og debatter for kommende uke` },
fi: { title: `Tuleva Viikko: ${dateRange.start} - ${dateRange.end}`, subtitle: `Parlamentin kalenteri, valiokuntien kokoukset ja keskustelut tulevalle viikolle` },
de: { title: `Woche Voraus: ${dateRange.start} bis ${dateRange.end}`, subtitle: `Parlamentarischer Kalender, Ausschusssitzungen und Debatten für die kommende Woche` },
fr: { title: `Semaine à Venir: ${dateRange.start} au ${dateRange.end}`, subtitle: `Calendrier parlementaire, réunions de commission et débats pour la semaine à venir` },
es: { title: `Semana Próxima: ${dateRange.start} a ${dateRange.end}`, subtitle: `Calendario parlamentario, reuniones de comisión y debates para la próxima semana` },
nl: { title: `Week Vooruit: ${dateRange.start} tot ${dateRange.end}`, subtitle: `Parlementaire kalender, commissievergaderingen en debatten voor de komende week` },
ar: { title: `الأسبوع القادم: ${dateRange.start} إلى ${dateRange.end}`, subtitle: `التقويم البرلماني واجتماعات اللجان والمناقشات للأسبوع المقبل` },
he: { title: `השבוע הקרוב: ${dateRange.start} עד ${dateRange.end}`, subtitle: `לוח שנה פרלמנטרי, פגישות ועדה ודיונים לשבוע הקרוב` },
ja: { title: `来週の展望: ${dateRange.start} から ${dateRange.end}`, subtitle: `来週の議会カレンダー、委員会会議、討論` },
ko: { title: `다음 주 전망: ${dateRange.start}부터 ${dateRange.end}까지`, subtitle: `다음 주 의회 일정, 위원회 회의 및 토론` },
zh: { title: `下周展望：${dateRange.start} 至 ${dateRange.end}`, subtitle: `下周议会日程、委员会会议和辩论` }
};
const langTitles: TitleSet = titles[lang] || titles.en;
// Enrich English title/subtitle with content-based highlights
const enriched = lang === 'en' ? generateDynamicTitle(langTitles.title, content, documents.length + events.length) : langTitles;
// Build visualization sections (SWOT, dashboard, economic)
const sections = buildArticleVisualizationSections(documents, null, lang);
// Generate HTML for this language
const html: string = generateArticleHTML({
slug: `${slug}-${lang}.html`,
title: enriched.title,
subtitle: enriched.subtitle,
date: toISODate(today),
type: 'prospective' as ArticleCategory,
readTime,
lang,
content,
events: eventGrid,
watchPoints,
sources,
keywords: metadata.keywords,
topics: metadata.topics,
tags: metadata.tags,
sections,
// Analysis references are injected by fix-analysis-references.ts post-processor
...(enrichment ?? {}),
});
await writeSingleArticle(html, slug, lang, 'week-ahead');
console.log(` ✅ ${lang.toUpperCase()} version generated`);
}
console.log(' ✅ Week Ahead article generated successfully in all requested languages');
return { success: true, files: languages.length, slug };
} catch (error: unknown) {
console.error('❌ Error generating Week Ahead:', (error as Error).message);
console.error(' Stack:', (error as Error).stack);
stats.errors++;
return { success: false, error: (error as Error).message };
}
}
/**
* Generate Committee Reports article
*/
export async function generateCommitteeReports(): Promise<GenerationResult> {
console.log('📋 Generating Committee Reports article...');
try {
const client: MCPClient = await getSharedClient();
console.log(' 🔄 Fetching committee reports from riksdag-regering-mcp...');
let reports: unknown[] = filterFreshDocuments(await client.fetchCommitteeReports(10) as RawDocument[]);
console.log(` 📊 Found ${reports.length} committee reports`);
if (reports.length === 0) {
console.log(' ℹ️ No new committee reports found, skipping');
return { success: true, files: 0 };
}
// Enrich documents with content and metadata
console.log(' 🔍 Enriching documents with detailed content...');
reports = await client.enrichDocumentsWithContent(reports as Parameters<MCPClient['enrichDocumentsWithContent']>[0], 3);
const enrichedCount: number = (reports as Array<Record<string, unknown>>).filter(r => r['contentFetched']).length;
console.log(` ✅ Enriched ${enrichedCount}/${reports.length} reports with content`);
const today: Date = new Date();
const slug: string = `${formatDateForSlug(today)}-committee-reports`;
const enrichment = await getAnalysisEnrichment();
for (const lang of languages) {
console.log(` 🌐 Generating ${lang.toUpperCase()} version...`);
const typedReports = reports as Parameters<typeof generateArticleContent>[0]['reports'];
const content: string = generateArticleContent({ reports: typedReports }, 'committee-reports', lang);
const watchPoints = extractWatchPoints({ reports: typedReports }, lang);
const metadata = generateMetadata({ reports: typedReports }, 'committee-reports', lang);
const readTime: string = calculateReadTime(content);
const sources: string[] = generateSources(['get_betankanden', 'get_dokument_innehall']);
const titles: Record<Language, TitleSet> = {
en: { title: `Riksdag Committee Reports`, subtitle: `Riksdag Committee Reports — AI-generated political intelligence from Sweden's Riksdag` },
sv: { title: `Utskottsbetänkanden från riksdagen`, subtitle: `Utskottsbetänkanden från riksdagen — AI-genererad politisk analys från Sveriges riksdag` },
da: { title: `Udvalgsindstillinger fra Riksdagen`, subtitle: `Udvalgsindstillinger fra Riksdagen — AI-genereret politisk analyse fra det svenske parlament` },
no: { title: `Komitéinnstillinger fra Riksdagen`, subtitle: `Komitéinnstillinger fra Riksdagen — AI-generert politisk analyse fra det svenske parlamentet` },
fi: { title: `Valiokunnan mietinnöt Riksdagista`, subtitle: `Valiokunnan mietinnöt Riksdagista — tekoälytuotettu poliittinen analyysi Ruotsin valtiopäiviltä` },
de: { title: `Ausschussberichte aus dem Riksdag`, subtitle: `Ausschussberichte aus dem Riksdag — KI-generierte politische Analyse aus dem schwedischen Parlament` },
fr: { title: `Rapports de commission du Riksdag`, subtitle: `Rapports de commission du Riksdag — analyse politique générée par IA du Parlement suédois` },
es: { title: `Informes de comisión del Riksdag`, subtitle: `Informes de comisión del Riksdag — análisis político generado por IA del Parlamento sueco` },
nl: { title: `Commissierapporten uit de Riksdag`, subtitle: `Commissierapporten uit de Riksdag — AI-gegenereerde politieke analyse uit het Zweedse parlement` },
ar: { title: `تقارير لجان الريكسداغ`, subtitle: `تقارير لجان الريكسداغ — تحليل سياسي بالذكاء الاصطناعي من البرلمان السويدي` },
he: { title: `דוחות ועדות הריקסדאג`, subtitle: `דוחות ועדות הריקסדאג — ניתוח פוליטי שנוצר על ידי בינה מלאכותית מהפרלמנט השוודי` },
ja: { title: `リクスダーグ委員会報告`, subtitle: `リクスダーグ委員会報告 — スウェーデン議会のAI生成政治分析` },
ko: { title: `릭스다그 위원회 보고서`, subtitle: `릭스다그 위원회 보고서 — 스웨덴 의회의 AI 생성 정치 분석` },
zh: { title: `瑞典议会委员会报告`, subtitle: `瑞典议会委员会报告 — 瑞典议会的AI生成政治分析` }
};
const langTitles: TitleSet = titles[lang] || titles.en;
// Enrich English title/subtitle with content-based highlights
const enriched = lang === 'en' ? generateDynamicTitle(langTitles.title, content, reports.length) : langTitles;
// Build visualization sections (SWOT, dashboard, economic)
const sections = buildArticleVisualizationSections(reports as RawDocument[], null, lang);
const html: string = generateArticleHTML({
slug: `${slug}-${lang}.html`,
title: enriched.title,
subtitle: enriched.subtitle,
date: toISODate(today),
type: 'analysis' as ArticleCategory,
readTime,
lang,
content,
watchPoints,
sources,
keywords: metadata.keywords,
topics: metadata.topics,
tags: metadata.tags,
sections,
// Analysis references are injected by fix-analysis-references.ts post-processor
...(enrichment ?? {}),
});
await writeSingleArticle(html, slug, lang, 'committee-reports');
}
return { success: true, files: languages.length, slug };
} catch (error: unknown) {
console.error('❌ Error generating Committee Reports:', (error as Error).message);
stats.errors++;
return { success: false, error: (error as Error).message };
}
}
/**
* Generate Government Propositions article
*/
export async function generatePropositions(): Promise<GenerationResult> {
console.log('📜 Generating Government Propositions article...');
try {
const client: MCPClient = await getSharedClient();
console.log(' 🔄 Fetching propositions from riksdag-regering-mcp...');
let propositions: unknown[] = filterFreshDocuments(await client.fetchPropositions(10) as RawDocument[]);
console.log(` 📊 Found ${propositions.length} propositions`);
if (propositions.length === 0) {
console.log(' ℹ️ No new propositions found, skipping');
return { success: true, files: 0 };
}
// Enrich documents with content and metadata
console.log(' 🔍 Enriching documents with detailed content...');
propositions = await client.enrichDocumentsWithContent(propositions as Parameters<MCPClient['enrichDocumentsWithContent']>[0], 3);
const enrichedCount: number = (propositions as Array<Record<string, unknown>>).filter(p => p['contentFetched']).length;
console.log(` ✅ Enriched ${enrichedCount}/${propositions.length} propositions with content`);
const today: Date = new Date();
const slug: string = `${formatDateForSlug(today)}-government-propositions`;
const enrichment = await getAnalysisEnrichment();
for (const lang of languages) {
console.log(` 🌐 Generating ${lang.toUpperCase()} version...`);
const typedPropositions = propositions as Parameters<typeof generateArticleContent>[0]['propositions'];
const content: string = generateArticleContent({ propositions: typedPropositions }, 'propositions', lang);
const watchPoints = extractWatchPoints({ propositions: typedPropositions }, lang);
const metadata = generateMetadata({ propositions: typedPropositions }, 'propositions', lang);
const readTime: string = calculateReadTime(content);
const sources: string[] = generateSources(['get_propositioner', 'get_dokument_innehall']);
const titles: Record<Language, TitleSet> = {
en: { title: `Government Propositions`, subtitle: `Government Propositions — AI-generated political intelligence from Sweden's Riksdag` },
sv: { title: `Regeringens propositioner`, subtitle: `Regeringens propositioner — AI-genererad politisk analys från Sveriges riksdag` },
da: { title: `Regeringsforslag fra Sverige`, subtitle: `Regeringsforslag fra Sverige — AI-genereret politisk analyse fra det svenske parlament` },
no: { title: `Svenske regjeringsproposisjoner`, subtitle: `Svenske regjeringsproposisjoner — AI-generert politisk analyse fra det svenske parlamentet` },
fi: { title: `Ruotsin hallituksen esitykset`, subtitle: `Ruotsin hallituksen esitykset — tekoälytuotettu poliittinen analyysi Ruotsin valtiopäiviltä` },
de: { title: `Schwedische Regierungsvorlagen`, subtitle: `Schwedische Regierungsvorlagen — KI-generierte politische Analyse aus dem schwedischen Parlament` },
fr: { title: `Propositions du gouvernement suédois`, subtitle: `Propositions du gouvernement suédois — analyse politique générée par IA du Parlement suédois` },
es: { title: `Proposiciones del gobierno sueco`, subtitle: `Proposiciones del gobierno sueco — análisis político generado por IA del Parlamento sueco` },
nl: { title: `Zweedse regeringsvoorstellen`, subtitle: `Zweedse regeringsvoorstellen — AI-gegenereerde politieke analyse uit het Zweedse parlement` },
ar: { title: `مقترحات الحكومة السويدية`, subtitle: `مقترحات الحكومة السويدية — تحليل سياسي بالذكاء الاصطناعي من البرلمان السويدي` },
he: { title: `הצעות הממשלה השוודית`, subtitle: `הצעות הממשלה השוודית — ניתוח פוליטי שנוצר על ידי בינה מלאכותית מהפרלמנט השוודי` },
ja: { title: `スウェーデン政府提案`, subtitle: `スウェーデン政府提案 — スウェーデン議会のAI生成政治分析` },
ko: { title: `스웨덴 정부 법안`, subtitle: `스웨덴 정부 법안 — 스웨덴 의회의 AI 생성 정치 분석` },
zh: { title: `瑞典政府提案`, subtitle: `瑞典政府提案 — 瑞典议会的AI生成政治分析` }
};
const langTitles: TitleSet = titles[lang] || titles.en;
// Enrich English title/subtitle with content-based highlights
const enriched = lang === 'en' ? generateDynamicTitle(langTitles.title, content, propositions.length) : langTitles;
// Build visualization sections (SWOT, dashboard, economic)
const sections = buildArticleVisualizationSections(propositions as RawDocument[], null, lang);
const html: string = generateArticleHTML({
slug: `${slug}-${lang}.html`,
title: enriched.title,
subtitle: enriched.subtitle,
date: toISODate(today),
type: 'analysis' as ArticleCategory,
readTime,
lang,
content,
watchPoints,
sources,
keywords: metadata.keywords,
topics: metadata.topics,
tags: metadata.tags,
sections,
// Analysis references are injected by fix-analysis-references.ts post-processor
...(enrichment ?? {}),
});
await writeSingleArticle(html, slug, lang, 'propositions');
}
return { success: true, files: languages.length, slug };
} catch (error: unknown) {
console.error('❌ Error generating Propositions:', (error as Error).message);
stats.errors++;
return { success: false, error: (error as Error).message };
}
}
/**
* Generate Opposition Motions article
*/
export async function generateMotions(): Promise<GenerationResult> {
console.log('📝 Generating Opposition Motions article...');
try {
const client: MCPClient = await getSharedClient();
console.log(' 🔄 Fetching motions from riksdag-regering-mcp...');
let motions: unknown[] = filterFreshDocuments(await client.fetchMotions(10) as RawDocument[]);
console.log(` 📊 Found ${motions.length} motions`);
if (motions.length === 0) {
console.log(' ℹ️ No new motions found, skipping');
return { success: true, files: 0 };
}
// Enrich documents with content and metadata
console.log(' 🔍 Enriching documents with detailed content...');
motions = await client.enrichDocumentsWithContent(motions as Parameters<MCPClient['enrichDocumentsWithContent']>[0], 3);
const enrichedCount: number = (motions as Array<Record<string, unknown>>).filter(m => m['contentFetched']).length;
console.log(` ✅ Enriched ${enrichedCount}/${motions.length} motions with content`);
const today: Date = new Date();
const slug: string = `${formatDateForSlug(today)}-opposition-motions`;
const enrichment = await getAnalysisEnrichment();
for (const lang of languages) {
console.log(` 🌐 Generating ${lang.toUpperCase()} version...`);
const typedMotions = motions as Parameters<typeof generateArticleContent>[0]['motions'];
const content: string = generateArticleContent({ motions: typedMotions }, 'motions', lang);
const watchPoints = extractWatchPoints({ motions: typedMotions }, lang);
const metadata = generateMetadata({ motions: typedMotions }, 'motions', lang);
const readTime: string = calculateReadTime(content);
const sources: string[] = generateSources(['get_motioner', 'get_dokument_innehall']);
const titles: Record<Language, TitleSet> = {
en: { title: `Opposition Motions`, subtitle: `Opposition Motions — AI-generated political intelligence from Sweden's Riksdag` },
sv: { title: `Oppositionsmotioner`, subtitle: `Oppositionsmotioner — AI-genererad politisk analys från Sveriges riksdag` },
da: { title: `Svenske oppositionsforslag`, subtitle: `Svenske oppositionsforslag — AI-genereret politisk analyse fra det svenske parlament` },
no: { title: `Svenske opposisjonsforslag`, subtitle: `Svenske opposisjonsforslag — AI-generert politisk analyse fra det svenske parlamentet` },
fi: { title: `Ruotsin opposition aloitteet`, subtitle: `Ruotsin opposition aloitteet — tekoälytuotettu poliittinen analyysi Ruotsin valtiopäiviltä` },
de: { title: `Schwedische Oppositionsanträge`, subtitle: `Schwedische Oppositionsanträge — KI-generierte politische Analyse aus dem schwedischen Riksdag` },
fr: { title: `Motions de l'opposition suédoise`, subtitle: `Motions de l'opposition suédoise — analyse politique générée par IA du Riksdag suédois` },
es: { title: `Mociones de la oposición sueca`, subtitle: `Mociones de la oposición sueca — análisis político generado por IA del Riksdag sueco` },
nl: { title: `Zweedse oppositiemoties`, subtitle: `Zweedse oppositiemoties — AI-gegenereerde politieke analyse uit de Zweedse Riksdag` },
ar: { title: `اقتراحات المعارضة السويدية`, subtitle: `اقتراحات المعارضة السويدية — تحليل سياسي بالذكاء الاصطناعي من البرلمان السويدي` },
he: { title: `הצעות האופוזיציה השוודית`, subtitle: `הצעות האופוזיציה השוודית — ניתוח פוליטי שנוצר על ידי בינה מלאכותית מהריקסדאג השוודי` },
ja: { title: `スウェーデン野党動議`, subtitle: `スウェーデン野党動議 — スウェーデン議会のAI生成政治分析` },
ko: { title: `스웨덴 야당 동의`, subtitle: `스웨덴 야당 동의 — 스웨덴 의회의 AI 생성 정치 분석` },
zh: { title: `瑞典反对党动议`, subtitle: `瑞典反对党动议 — 瑞典议会的AI生成政治分析` }
};
const langTitles: TitleSet = titles[lang] || titles.en;
// Enrich English title/subtitle with content-based highlights
const enriched = lang === 'en' ? generateDynamicTitle(langTitles.title, content, motions.length) : langTitles;
// Build visualization sections (SWOT, dashboard, economic)
const sections = buildArticleVisualizationSections(motions as RawDocument[], null, lang);
const html: string = generateArticleHTML({
slug: `${slug}-${lang}.html`,
title: enriched.title,
subtitle: enriched.subtitle,
date: toISODate(today),
type: 'analysis' as ArticleCategory,
readTime,
lang,
content,
watchPoints,
sources,
keywords: metadata.keywords,
topics: metadata.topics,
tags: metadata.tags,
sections,
// Analysis references are injected by fix-analysis-references.ts post-processor
...(enrichment ?? {}),
});
await writeSingleArticle(html, slug, lang, 'motions');
}
return { success: true, files: languages.length, slug };
} catch (error: unknown) {
console.error('❌ Error generating Motions:', (error as Error).message);
stats.errors++;
return { success: false, error: (error as Error).message };
}
}
/**
* Generate Interpellation Debates article
*/
export async function generateInterpellations(): Promise<GenerationResult> {
console.log('🔔 Generating Interpellation Debates article...');
try {
const client: MCPClient = await getSharedClient();
console.log(' 🔄 Fetching interpellations from riksdag-regering-mcp...');
let interpellations: unknown[] = filterFreshDocuments(await client.fetchInterpellations({ limit: 15 }) as RawDocument[]);
console.log(` 📊 Found ${interpellations.length} interpellations`);
if (interpellations.length === 0) {
console.log(' ℹ️ No new interpellations found, skipping');
return { success: true, files: 0 };
}
// Enrich documents with content and metadata
console.log(' 🔍 Enriching documents with detailed content...');
interpellations = await client.enrichDocumentsWithContent(interpellations as Parameters<MCPClient['enrichDocumentsWithContent']>[0], 3);
const enrichedCount: number = (interpellations as Array<Record<string, unknown>>).filter(m => m['contentFetched']).length;
console.log(` ✅ Enriched ${enrichedCount}/${interpellations.length} interpellations with content`);
const today: Date = new Date();
const slug: string = `${formatDateForSlug(today)}-interpellation-debates`;
const enrichment = await getAnalysisEnrichment();
for (const lang of languages) {
console.log(` 🌐 Generating ${lang.toUpperCase()} version...`);
const typedInterps = interpellations as import('../data-transformers/types.js').ArticleContentData['interpellations'];
const content: string = generateArticleContent({ interpellations: typedInterps }, 'interpellations', lang);
const watchPoints = extractWatchPoints({ interpellations: typedInterps }, lang);
const metadata = generateMetadata({ interpellations: typedInterps }, 'interpellations', lang);
const readTime: string = calculateReadTime(content);
const sources: string[] = generateSources(['get_interpellationer', 'get_dokument_innehall']);
const titles: Record<Language, TitleSet> = {
en: { title: `Interpellation Debates`, subtitle: `Interpellation Debates — AI-generated political intelligence from Sweden's Riksdag` },
sv: { title: `Interpellationsdebatter`, subtitle: `Interpellationsdebatter — AI-genererad politisk analys från Sveriges riksdag` },
da: { title: `Interpellationsdebatter i Riksdagen`, subtitle: `Interpellationsdebatter i Riksdagen — AI-genereret politisk analyse fra det svenske parlament` },
no: { title: `Interpellasjonsdebatter i Riksdagen`, subtitle: `Interpellasjonsdebatter i Riksdagen — AI-generert politisk analyse fra det svenske parlamentet` },
fi: { title: `Välikysymyskeskustelut Riksdagissa`, subtitle: `Välikysymyskeskustelut Riksdagissa — tekoälytuotettu poliittinen analyysi Ruotsin valtiopäiviltä` },
de: { title: `Interpellationsdebatten im Riksdag`, subtitle: `Interpellationsdebatten im Riksdag — KI-generierte politische Analyse aus dem schwedischen Riksdag` },
fr: { title: `Débats d'interpellation au Riksdag`, subtitle: `Débats d'interpellation au Riksdag — analyse politique générée par IA du Parlement suédois` },
es: { title: `Debates de interpelación en el Riksdag`, subtitle: `Debates de interpelación en el Riksdag — análisis político generado por IA del Parlamento sueco` },
nl: { title: `Interpellatiedebatten in de Riksdag`, subtitle: `Interpellatiedebatten in de Riksdag — AI-gegenereerde politieke analyse uit de Zweedse Riksdag` },
ar: { title: `مناقشات الاستجواب في الريكسداغ`, subtitle: `مناقشات الاستجواب في الريكسداغ — تحليل سياسي بالذكاء الاصطناعي من البرلمان السويدي` },
he: { title: `דיוני אינטרפלציה בריקסדאג`, subtitle: `דיוני אינטרפלציה בריקסדאג — ניתוח פוליטי שנוצר על ידי בינה מלאכותית מהפרלמנט השוודי` },
ja: { title: `リクスダーグ質問主意書討論`, subtitle: `リクスダーグ質問主意書討論 — スウェーデン議会のAI生成政治分析` },
ko: { title: `릭스다그 대정부 질의 토론`, subtitle: `릭스다그 대정부 질의 토론 — 스웨덴 의회의 AI 생성 정치 분석` },
zh: { title: `瑞典议会质询辩论`, subtitle: `瑞典议会质询辩论 — 瑞典议会的AI生成政治分析` }
};
const langTitles: TitleSet = titles[lang] || titles.en;
// Enrich English title/subtitle with content-based highlights
const enriched = lang === 'en' ? generateDynamicTitle(langTitles.title, content, interpellations.length) : langTitles;
// Build visualization sections (SWOT, dashboard, economic)
const sections = buildArticleVisualizationSections(interpellations as RawDocument[], null, lang);
const html: string = generateArticleHTML({
slug: `${slug}-${lang}.html`,
title: enriched.title,
subtitle: enriched.subtitle,
date: toISODate(today),
type: 'analysis' as ArticleCategory,
readTime,
lang,
content,
watchPoints,
sources,
keywords: metadata.keywords,
topics: metadata.topics,
tags: metadata.tags,
sections,
// Analysis references are injected by fix-analysis-references.ts post-processor
...(enrichment ?? {}),
});
await writeSingleArticle(html, slug, lang, 'interpellations');
}
return { success: true, files: languages.length, slug };
} catch (error: unknown) {
console.error('❌ Error generating Interpellations:', (error as Error).message);
stats.errors++;
return { success: false, error: (error as Error).message };
}
}
// ---------------------------------------------------------------------------
// URL & text utilities — implementation extracted to url-utils.ts
// Imported for local use and re-exported for backward compatibility.
// ---------------------------------------------------------------------------
import {
extractDocIdFromUrl,
isGovernmentUrl,
isGitHubUrl,
toGitHubRawUrl,
hashPathSuffix,
sanitizePlainText,
} from './url-utils.js';
export {
extractDocIdFromUrl,
isGovernmentUrl,
isGitHubUrl,
toGitHubRawUrl,
hashPathSuffix,
sanitizePlainText,
};
// ---------------------------------------------------------------------------
// Deep-Inspection content generator (topic-focused, comprehensive)
// ---------------------------------------------------------------------------
/** Cyberpunk-theme colour palette for deep-inspection dashboard charts. */
const DEEP_CHART_PALETTE: readonly string[] = [
'#00d9ff', '#ff006e', '#ffbe0b', '#00ff88', '#ff8800', '#aa00ff',
];
/** Per-language headings for sections of the deep-inspection article. */
const DEEP_SECTION_LABELS: Readonly<Record<string, Partial<Record<Language, string>>>> = {
documentIntelligence: {
en: 'Document Intelligence Analysis',
sv: 'Dokumentunderrättelseanalys',
da: 'Dokumentefterretningsanalyse',
no: 'Dokumentetterretningsanalyse',
fi: 'Asiakirjatiedusteluanalyysi',
de: 'Dokumentenintelligenz-Analyse',
fr: 'Analyse renseignement documentaire',
es: 'Análisis de inteligencia documental',
nl: 'Documentintelligentie-analyse',
ar: 'تحليل استخبارات الوثائق',
he: 'ניתוח מודיעין מסמכים',
ja: '文書インテリジェンス分析',
ko: '문서 인텔리전스 분석',
zh: '文件情报分析',
},
strategicImplications: {
en: 'Strategic Implications',
sv: 'Strategiska implikationer',
da: 'Strategiske implikationer',
no: 'Strategiske implikasjoner',
fi: 'Strategiset vaikutukset',
de: 'Strategische Implikationen',
fr: 'Implications stratégiques',
es: 'Implicaciones estratégicas',
nl: 'Strategische implicaties',
ar: 'الآثار الاستراتيجية',
he: 'השלכות אסטרטגיות',
ja: '戦略的示唆',
ko: '전략적 시사점',
zh: '战略影响',
},
keyTakeaways: {
en: 'Key Takeaways',
sv: 'Viktiga slutsatser',
da: 'Vigtigste konklusioner',
no: 'Viktigste konklusjoner',
fi: 'Tärkeimmät johtopäätökset',
de: 'Wesentliche Erkenntnisse',
fr: 'Points clés',
es: 'Conclusiones clave',
nl: 'Belangrijkste bevindingen',
ar: 'النقاط الرئيسية',
he: 'נקודות מפתח',
ja: '主なポイント',
ko: '핵심 사항',
zh: '关键要点',
},
topicContext: {
en: 'Topic Context & Significance',
sv: 'Ämneskontext och betydelse',
da: 'Emnekontext og betydning',
no: 'Emnekontext og betydning',
fi: 'Aiheyhteyssä ja merkityksessä',
de: 'Themenkontext und Bedeutung',
fr: 'Contexte thématique et signification',
es: 'Contexto temático y significación',
nl: 'Onderwerpcontext en betekenis',
ar: 'السياق الموضوعي والأهمية',
he: 'הקשר נושאי ומשמעות',
ja: 'トピックの文脈と重要性',
ko: '주제 맥락 및 중요성',
zh: '主题背景与意义',
},
documentsByType: {
en: 'Documents by Type', sv: 'Dokument efter typ', da: 'Dokumenter efter type', no: 'Dokumenter etter type',
fi: 'Asiakirjat tyypin mukaan', de: 'Dokumente nach Typ', fr: 'Documents par type', es: 'Documentos por tipo',
nl: 'Documenten per type', ar: 'الوثائق حسب النوع', he: 'מסמכים לפי סוג',
ja: '種類別文書', ko: '유형별 문서', zh: '按类型分类的文件',
},
documents: {
en: 'Documents', sv: 'Dokument', da: 'Dokumenter', no: 'Dokumenter',
fi: 'Asiakirjat', de: 'Dokumente', fr: 'Documents', es: 'Documentos',
nl: 'Documenten', ar: 'وثائق', he: 'מסמכים',
ja: '文書', ko: '문서', zh: '文件',
},
documentsAnalysed: {
en: 'parliamentary documents analysed', sv: 'riksdagsdokument analyserade', da: 'parlamentsdokumenter analyseret', no: 'parlamentsdokumenter analysert',
fi: 'asiakirjaa analysoitu', de: 'parlamentarische Dokumente analysiert', fr: 'documents parlementaires analysés', es: 'documentos parlamentarios analizados',
nl: 'parlementaire documenten geanalyseerd', ar: 'وثيقة برلمانية تم تحليلها', he: 'מסמכים פרלמנטריים שנותחו',
ja: '件の議会文書を分析', ko: '의회 문서 분석됨', zh: '份议会文件已分析',
},
documentAnalysed: {
en: 'parliamentary document analysed', sv: 'riksdagsdokument analyserat', da: 'parlamentsdokument analyseret', no: 'parlamentsdokument analysert',
fi: 'asiakirja analysoitu', de: 'parlamentarisches Dokument analysiert', fr: 'document parlementaire analysé', es: 'documento parlamentario analizado',
nl: 'parlementair document geanalyseerd', ar: 'وثيقة برلمانية تم تحليلها', he: 'מסמך פרלמנטרי שנותח',
ja: '件の議会文書を分析', ko: '의회 문서 분석됨', zh: '份议会文件已分析',
},
documentTypes: {
en: 'Document Types', sv: 'Dokumenttyper', da: 'Dokumenttyper', no: 'Dokumenttyper',
fi: 'Asiakirjatyypit', de: 'Dokumenttypen', fr: 'Types de documents', es: 'Tipos de documentos',
nl: 'Documenttypen', ar: 'أنواع الوثائق', he: 'סוגי מסמכים',
ja: '文書種類', ko: '문서 유형', zh: '文件类型',
},
policyDomains: {
en: 'Policy Domains', sv: 'Politikområden', da: 'Politikområder', no: 'Politikkområder',
fi: 'Politiikka-alueet', de: 'Politikbereiche', fr: 'Domaines politiques', es: 'Áreas de política',
nl: 'Beleidsdomeinen', ar: 'مجالات السياسة', he: 'תחומי מדיניות',
ja: '政策分野', ko: '정책 영역', zh: '政策领域',
},
stakeholders: {
en: 'Stakeholders', sv: 'Intressenter', da: 'Interessenter', no: 'Interessenter',
fi: 'Sidosryhmät', de: 'Stakeholder', fr: 'Parties prenantes', es: 'Partes interesadas',
nl: 'Belanghebbenden', ar: 'أصحاب المصلحة', he: 'בעלי עניין',
ja: 'ステークホルダー', ko: '이해관계자', zh: '利益相关者',
},
executiveSummary: {
en: 'Executive Intelligence Summary',
sv: 'Sammanfattning för beslutsfattare',
da: 'Ledelsesinformation',
no: 'Lederinformasjon',
fi: 'Johdon yhteenveto',
de: 'Führungszusammenfassung',
fr: 'Résumé pour décideurs',
es: 'Resumen ejecutivo de inteligencia',
nl: 'Managementsamenvatting',
ar: 'ملخص الاستخبارات التنفيذية',
he: 'סיכום מודיעין מנהלים',
ja: 'エグゼクティブ・インテリジェンス要約',
ko: '경영진 인텔리전스 요약',
zh: '执行情报摘要',
},
predictiveAssessment: {
en: 'Predictive Assessment',
sv: 'Prediktiv bedömning',
da: 'Prædiktiv vurdering',
no: 'Prediktiv vurdering',
fi: 'Ennakoiva arviointi',
de: 'Prädiktive Bewertung',
fr: 'Évaluation prédictive',
es: 'Evaluación predictiva',
nl: 'Voorspellende beoordeling',
ar: 'التقييم التنبؤي',
he: 'הערכה חיזויית',
ja: '予測評価',
ko: '예측 평가',
zh: '预测性评估',
},
historicalContext: {
en: 'Historical Context & Precedents',
sv: 'Historisk kontext och prejudikat',
da: 'Historisk kontekst og præcedenser',
no: 'Historisk kontekst og presedens',
fi: 'Historiallinen konteksti ja ennakkotapaukset',
de: 'Historischer Kontext und Präzedenzfälle',
fr: 'Contexte historique et précédents',
es: 'Contexto histórico y precedentes',
nl: 'Historische context en precedenten',
ar: 'السياق التاريخي والسوابق',
he: 'הקשר היסטורי ותקדימים',
ja: '歴史的背景と先例',
ko: '역사적 맥락 및 선례',
zh: '历史背景与先例',
},
methodology: {
en: 'Methodology & Confidence',
sv: 'Metodik och konfidensgrad',
da: 'Metodologi og konfidens',
no: 'Metodologi og konfidens',
fi: 'Menetelmä ja luottamustaso',
de: 'Methodik und Konfidenz',
fr: 'Méthodologie et confiance',
es: 'Metodología y confianza',
nl: 'Methodologie en betrouwbaarheid',
ar: 'المنهجية ودرجة الثقة',
he: 'מתודולוגיה ורמת ביטחון',
ja: '方法論と信頼度',
ko: '방법론 및 신뢰도',
zh: '方法论与置信度',
},
likelyOutcome: {
en: 'Likely Outcome', sv: 'Troligt utfall', da: 'Sandsynligt udfald', no: 'Sannsynlig utfall',
fi: 'Todennäköinen lopputulos', de: 'Wahrscheinliches Ergebnis', fr: 'Résultat probable', es: 'Resultado probable',
nl: 'Waarschijnlijk resultaat', ar: 'النتيجة المحتملة', he: 'תוצאה סבירה',
ja: '見込まれる結果', ko: '예상 결과', zh: '可能结果',
},
coalitionStability: {
en: 'Coalition Stability Forecast', sv: 'Koalitionsstabilitetsprognos', da: 'Koalitionsstabilitetsprognose', no: 'Koalisjonstabilitetsprognose',
fi: 'Koalition vakausennuste', de: 'Koalitionsstabilitätsprognose', fr: 'Prévision de stabilité de coalition', es: 'Pronóstico de estabilidad de coalición',
nl: 'Coalitiesstabiliteitsprognose', ar: 'توقعات استقرار الائتلاف', he: 'תחזית יציבות קואליציה',
ja: '連立安定性予測', ko: '연립 안정성 예측', zh: '联合稳定性预测',
},
riskScenarios: {
en: 'Risk Scenarios', sv: 'Riskscenarier', da: 'Risikoscenarier', no: 'Risikoscenarier',
fi: 'Riskiskenaariot', de: 'Risikoszenarien', fr: 'Scénarios de risque', es: 'Escenarios de riesgo',
nl: "Risicoscenario's", ar: 'سيناريوهات المخاطر', he: 'תרחישי סיכון',
ja: 'リスクシナリオ', ko: '위험 시나리오', zh: '风险情景',
},
parliamentaryAnalysis: {
en: 'Parliamentary Analysis', sv: 'Riksdagsanalys', da: 'Parlamentarisk analyse', no: 'Parlamentarisk analyse',
fi: 'Parlamentaarinen analyysi', de: 'Parlamentarische Analyse', fr: 'Analyse parlementaire', es: 'Análisis parlamentario',
nl: 'Parlementaire analyse', ar: 'التحليل البرلماني', he: 'ניתוח פרלמנטרי',
ja: '議会分析', ko: '의회 분석', zh: '议会分析',
},
govCommunications: {
en: 'Gov. Communications', sv: 'Regeringsmeddelanden', da: 'Regeringsmeddelelser', no: 'Regjeringsmeldinger',
fi: 'Hallituksen tiedonannot', de: 'Regierungsmitteilungen', fr: 'Communications gouvernementales', es: 'Comunicaciones del Gobierno',
nl: 'Regeringsmededelingen', ar: 'بلاغات حكومية', he: 'הודעות ממשלתיות',
ja: '政府通信', ko: '정부 통신', zh: '政府通报',
},
conceptualMap: {
en: 'Conceptual map', sv: 'Konceptkarta', da: 'Konceptkort', no: 'Konseptkart',
fi: 'Käsitekartta', de: 'Konzeptkarte', fr: 'Carte conceptuelle', es: 'Mapa conceptual',
nl: 'Conceptmap', ar: 'خريطة مفاهيمية', he: 'מפת מושגים',
ja: 'コンセプトマップ', ko: '개념 맵', zh: '概念图',
},
};
function deepLabel(key: string, lang: Language): string {
const map = DEEP_SECTION_LABELS[key];
return (map?.[lang]) ?? (map?.en ?? key);
}
/** Checks whether a document represents an SFS (enacted statute). Delegates to {@link effectiveType}. */
function isSfsDoc(d: RawDocument): boolean {
return effectiveType(d) === 'sfs';
}
function docTypeLabel(doktyp: string, lang: Language, count?: number): string {
return localizeDocType(doktyp, lang, count);
}
/**
* Generate topic-focused, comprehensive deep-inspection article content.
* All sections are explicitly oriented around `topic`. Uses enriched full-text
* content from each document and the 5W deep-analysis framework.
*
* @param depth - Analysis depth (1–4). Higher depth adds more intelligence sections:
* 1 = Topic Context + Document Intelligence + 5W Deep Analysis + Strategic Implications + Key Takeaways
* 2 = depth 1 + Historical Context + Predictive Assessment
* 3 = depth 2 + Executive Intelligence Summary + Methodology (3 iterations)
* 4 = depth 3 + quality-review iteration in Methodology (4 iterations)
* When `aiResult` is provided, both the Strategic Implications and Key
* Takeaways sections use its AI-generated content when present. For either
* AI-driven section with missing content, including when no AIAnalysisResult
* is supplied or when the corresponding `aiResult` field is empty,
* AI_MUST_REPLACE markers are emitted (v3.0+ — no template-generated fallback
* content).
*/
function generateDeepInspectionContent(
docs: RawDocument[],
topic: string | null,
lang: Language,
depth: 1 | 2 | 3 | 4 = 1,
aiResult?: import('./ai-analysis-pipeline.js').AIAnalysisResult,
): string {
const esc = escapeHtml;
let html = '';
// ── 0. Executive Intelligence Summary (depth ≥ 3) ────────────────────────
if (depth >= 3) {
html += buildExecutiveSummary(docs, topic, lang);
}
// ── 1. Topic Context ───────────────────────────────────────────────────────
const topicHeading = deepLabel('topicContext', lang);
const topicCtxPara = buildTopicContextParagraph(docs, topic, lang);
html += `\n<section class="deep-topic-context" aria-label="${esc(topicHeading)}">\n`;
html += ` <h2>${esc(topicHeading)}</h2>\n`;
html += ` ${topicCtxPara}\n`;
html += `</section>\n`;
// ── 2. Per-document deep intelligence entries ──────────────────────────────
const docIntelHeading = deepLabel('documentIntelligence', lang);
html += `\n<section class="document-intelligence-analysis" aria-label="${esc(docIntelHeading)}">\n`;
html += ` <h2>${esc(docIntelHeading)}</h2>\n`;
docs.forEach((doc, idx) => {
html += buildDocumentEntry(doc, topic, lang, idx + 1, docs.length);
});
html += `</section>\n`;
// ── 3. Cross-document 5W deep analysis ────────────────────────────────────
const deepAnalysis = generateDeepAnalysisSection({
documents: docs,
lang,
articleType: 'deep-inspection',
whyContext: topic
? `This deep-inspection focuses exclusively on: ${topic}. All findings are evaluated in this context.`
: undefined,
});
if (deepAnalysis) html += deepAnalysis;
// ── 4. Strategic implications ──────────────────────────────────────────────
const stratHeading = deepLabel('strategicImplications', lang);
html += `\n<section class="strategic-implications" aria-label="${esc(stratHeading)}">\n`;
html += ` <h2>${esc(stratHeading)}</h2>\n`;
// Use AI-generated strategic implications when non-empty; otherwise emit
// replacement marker for downstream AI processing (v3.0+).
const strategicImplHtml = aiResult?.strategicImplications
|| '<!-- AI_MUST_REPLACE: strategic_implications -->';
html += ` ${strategicImplHtml}\n`;
html += `</section>\n`;
// ── 5. Historical Context (depth ≥ 2) ─────────────────────────────────────
if (depth >= 2) {
html += buildHistoricalContext(docs, topic, lang);
}
// ── 6. Predictive Assessment (depth ≥ 2) ──────────────────────────────────
if (depth >= 2) {
html += buildPredictiveAssessment(docs, topic, lang);
}
// ── 7. Key takeaways ───────────────────────────────────────────────────────
const takeawayHeading = deepLabel('keyTakeaways', lang);
html += `\n<section class="key-takeaways" aria-label="${esc(takeawayHeading)}">\n`;
html += ` <h2>${esc(takeawayHeading)}</h2>\n`;
if (aiResult?.keyTakeaways && aiResult.keyTakeaways.length > 0) {
// Use AI-generated takeaways
html += `<ul class="key-takeaways-list">\n`;
aiResult.keyTakeaways.forEach(item => {
html += ` <li>${esc(item)}</li>\n`;
});
html += `</ul>\n`;
} else {
html += '<!-- AI_MUST_REPLACE: key_takeaways -->';
}
html += `</section>\n`;
// ── 8. Methodology & Confidence (depth ≥ 3) ───────────────────────────────
if (depth >= 3) {
html += buildMethodologySection(docs, topic, lang, depth);
}
return html;
}
function mapReportDepthToPipelineDepth(depth: 1 | 2 | 3 | 4): AnalysisDepth {
if (depth <= 1) return 'quick';
if (depth === 2) return 'standard';
return 'deep';
}
function writeAnalysisMetadata(slug: string, metadata: AnalysisIterationMetadata): void {
try {
fs.mkdirSync(METADATA_DIR, { recursive: true });
const filePath = path.join(METADATA_DIR, `ai-analysis-${slug}-${metadata.lang}.json`);
fs.writeFileSync(filePath, JSON.stringify(metadata, null, 2), 'utf8');
} catch (error) {
console.warn(`⚠️ Failed to write analysis metadata for ${slug}/${metadata.lang}:`, error);
}
}
/**
* Test-only hooks for deep-inspection content generation.
* Exported to support behavioral tests without source inspection.
* @internal
*/
export const __deepInspectionTestHooks = {
generateDeepInspectionContent,
};
/** Build the topic context introductory paragraph. */
function buildTopicContextParagraph(docs: RawDocument[], topic: string | null, lang: Language): string {
const esc = escapeHtml;
const docCount = docs.length;
const allDomains = new Set<string>();
// When a focus topic is provided, suppress generic detected domains entirely — they can
// include tangential policy areas that bleed into "other areas" beyond the stated focus.
// The topic itself IS the scope; detected domains would only add noise.
if (!topic) {
docs.forEach(d => detectPolicyDomains(d, lang).forEach(dom => allDomains.add(dom)));
}
const domainList = [...allDomains].slice(0, 5).map(d => esc(d)).join(', ');
const templates: Partial<Record<Language, string>> = {
en: `This deep-inspection analyses ${docCount} targeted parliamentary document${docCount !== 1 ? 's' : ''}${topic ? ` with an exclusive focus on <strong>${esc(topic)}</strong>` : ''}. ${domainList ? `Policy domains covered: ${domainList}.` : ''} Each document has been individually reviewed for relevance, legislative significance, and strategic implications — all findings are evaluated through the lens of the stated focus.`,
sv: `Denna djupanalys granskar ${docCount} riktade riksdagsdokument${topic ? ` med exklusivt fokus på <strong>${esc(topic)}</strong>` : ''}. ${domainList ? `Policyområden: ${domainList}.` : ''} Varje dokument har granskats individuellt avseende relevans, lagstiftningssignifikans och strategiska implikationer — alla resultat utvärderas genom det angivna fokuset.`,
de: `Diese Tiefenanalyse untersucht ${docCount} gezielte Parlamentsdokument${docCount !== 1 ? 'e' : ''}${topic ? ` mit ausschließlichem Fokus auf <strong>${esc(topic)}</strong>` : ''}. ${domainList ? `Politikbereiche: ${domainList}.` : ''} Jedes Dokument wurde einzeln auf Relevanz, gesetzgeberische Bedeutung und strategische Implikationen geprüft.`,
fr: `Cette analyse approfondie examine ${docCount} document${docCount !== 1 ? 's' : ''} parlementaire${docCount !== 1 ? 's' : ''} ciblé${docCount !== 1 ? 's' : ''}${topic ? ` avec un focus exclusif sur <strong>${esc(topic)}</strong>` : ''}. ${domainList ? `Domaines politiques couverts: ${domainList}.` : ''} Chaque document a été examiné individuellement.`,
es: `Esta inspección profunda analiza ${docCount} documento${docCount !== 1 ? 's' : ''} parlamentario${docCount !== 1 ? 's' : ''} específico${docCount !== 1 ? 's' : ''}${topic ? ` con enfoque exclusivo en <strong>${esc(topic)}</strong>` : ''}. ${domainList ? `Áreas de política cubiertos: ${domainList}.` : ''}`,
da: `Denne dybdeanalyse undersøger ${docCount} målrettede parlamentariske dokument${docCount !== 1 ? 'er' : ''}${topic ? ` med eksklusivt fokus på <strong>${esc(topic)}</strong>` : ''}. ${domainList ? `Politikområder: ${domainList}.` : ''}`,
no: `Denne dybdeanalysen undersøker ${docCount} målrettede parlamentariske dokument${docCount !== 1 ? 'er' : ''}${topic ? ` med eksklusivt fokus på <strong>${esc(topic)}</strong>` : ''}. ${domainList ? `Politikkområder: ${domainList}.` : ''}`,
fi: `Tämä syväanalyysi tutkii ${docCount} kohdennettua parlamentaarista asiakirjaa${topic ? `, joissa on yksinomainen fokus aiheeseen <strong>${esc(topic)}</strong>` : ''}. ${domainList ? `Politiikka-alueet: ${domainList}.` : ''}`,
nl: `Deze diepteanalyse bestudeert ${docCount} gerichte parlementaire document${docCount !== 1 ? 'en' : ''}${topic ? ` met exclusieve focus op <strong>${esc(topic)}</strong>` : ''}. ${domainList ? `Beleidsdomeinen: ${domainList}.` : ''}`,
ar: `يحلل هذا الفحص المعمق ${docCount} وثيقة برلمانية مستهدفة${topic ? ` مع التركيز الحصري على <strong>${esc(topic)}</strong>` : ''}. ${domainList ? `مجالات السياسة المشمولة: ${domainList}.` : ''}`,
he: `ניתוח מעמיק זה בוחן ${docCount} מסמכים פרלמנטריים ממוקדים${topic ? ` עם מיקוד בלעדי על <strong>${esc(topic)}</strong>` : ''}. ${domainList ? `תחומי מדיניות: ${domainList}.` : ''}`,
ja: `この詳細分析は${docCount}件のターゲット議会文書を調査します${topic ? `、<strong>${esc(topic)}</strong>に専ら焦点を当てています` : ''}。${domainList ? `政策分野: ${domainList}。` : ''}`,
ko: `이 심층 분석은 ${docCount}건의 대상 의회 문서를 분석합니다${topic ? `, <strong>${esc(topic)}</strong>에 전적으로 집중합니다` : ''}. ${domainList ? `정책 분야: ${domainList}.` : ''}`,
zh: `本次深度分析对${docCount}份目标议会文件进行分析${topic ? `，专注于<strong>${esc(topic)}</strong>` : ''}。${domainList ? `涵盖政策领域：${domainList}。` : ''}`,
};
return `<p>${templates[lang] ?? templates.en}</p>`;
}
/** Build a comprehensive HTML entry for a single document — topic-focused. */
function buildDocumentEntry(
doc: RawDocument,
topic: string | null,
lang: Language,
index: number,
total: number,
): string {
const esc = escapeHtml;
const title = doc.titel || doc.title || doc.dokumentnamn || doc.dok_id || '';
const doktyp = doc.doktyp || doc.documentType || '';
const date = doc.datum ? esc(doc.datum) : '';
const organ = doc.organ || doc.committee || '';
const typeLabel = doktyp ? docTypeLabel(doktyp, lang, 1) : '';
const domains = detectPolicyDomains(doc, lang);
let entry = `\n <article class="document-entry" data-index="${index}">\n`;
entry += ` <h3>${esc(title)}</h3>\n`;
// Document metadata line
const metaParts: string[] = [];
if (typeLabel) metaParts.push(`<span class="doc-type">${esc(typeLabel)}</span>`);
if (doc.dok_id) metaParts.push(`<code>${esc(doc.dok_id)}</code>`);
if (date) metaParts.push(`<time datetime="${date}">${date}</time>`);
if (organ) metaParts.push(`<span class="doc-organ">${esc(organ)}</span>`);
if (domains.length > 0 && !topic) metaParts.push(`<em>${domains.map(d => esc(d)).join(', ')}</em>`);
if (metaParts.length > 0) {
entry += ` <p class="doc-meta">${metaParts.join(' · ')}</p>\n`;
}
// Topic relevance note when topic is provided
if (topic) {
const topicRelevanceTemplates: Partial<Record<Language, string>> = {
en: `Relevance to <strong>${esc(topic)}</strong>:`,
sv: `Relevans för <strong>${esc(topic)}</strong>:`,
de: `Relevanz für <strong>${esc(topic)}</strong>:`,
fr: `Pertinence pour <strong>${esc(topic)}</strong>:`,
es: `Relevancia para <strong>${esc(topic)}</strong>:`,
da: `Relevans for <strong>${esc(topic)}</strong>:`,
no: `Relevans for <strong>${esc(topic)}</strong>:`,
fi: `Relevanssi aiheeseen <strong>${esc(topic)}</strong>:`,
nl: `Relevantie voor <strong>${esc(topic)}</strong>:`,
ar: `الصلة بـ <strong>${esc(topic)}</strong>:`,
he: `הרלוונטיות ל<strong>${esc(topic)}</strong>:`,
ja: `<strong>${esc(topic)}</strong>への関連性:`,
ko: `<strong>${esc(topic)}</strong>에 대한 관련성:`,
zh: `与<strong>${esc(topic)}</strong>的关联:`,
};
entry += ` <p class="topic-relevance"><strong>${topicRelevanceTemplates[lang] ?? topicRelevanceTemplates.en}</strong></p>\n`;
}
// Deep policy analysis (uses full text if enriched, otherwise significance)
// Pass 600-char limit — deep inspection requires substantive per-document analysis.
const deepAnalysis = generateDeepPolicyAnalysis(doc, lang, doktyp || undefined, 600);
if (deepAnalysis) {
entry += ` <div class="doc-analysis">${deepAnalysis}</div>\n`;
}
// Summary/notis when no full text but summary is available
const summary = doc.summary || doc.notis || '';
if (summary && !doc.contentFetched) {
entry += ` <blockquote class="doc-summary">${esc(summary)}</blockquote>\n`;
}
if (index < total) {
entry += ` <hr class="doc-separator">\n`;
}
entry += ` </article>\n`;
return entry;
}
// ---------------------------------------------------------------------------
// Multi-iteration deep-inspection intelligence section builders
// ---------------------------------------------------------------------------
/**
* Build a concise Executive Intelligence Summary.
* Synthesises document composition, policy domains, and legislative posture
* into a briefing paragraph for decision-makers.
* Iteration 1 + Iteration 2 outcome: "what happened & why it matters".
*/
function buildExecutiveSummary(docs: RawDocument[], topic: string | null, lang: Language): string {
const esc = escapeHtml;
const propCount = docs.filter(d => effectiveType(d) === 'prop').length;
const betCount = docs.filter(d => effectiveType(d) === 'bet').length;
const motCount = docs.filter(d => effectiveType(d) === 'mot').length;
const sfsDocs = docs.filter(isSfsDoc);
const enriched = docs.filter(d => d.contentFetched).length;
const allDomains = new Set<string>();
docs.forEach(d => detectPolicyDomains(d, lang).forEach(dom => allDomains.add(dom)));
const domainList = [...allDomains].slice(0, 4);
const domainPhrase = domainList.map(d => esc(d)).join(', ');
// Determine legislative posture — neutral when no props/motions/bets/SFS exist
const hasEnactedLaw = sfsDocs.length > 0;
const noLegSignal = propCount + motCount + betCount === 0 && !hasEnactedLaw;
const govLed = noLegSignal ? null : propCount > motCount;
const highScrutiny = betCount > 0;
const templates: Partial<Record<Language, string>> = {
en: (() => {
const enPosture = govLed === null ? 'non-legislative' : govLed ? 'government-led' : 'opposition-driven';
const enClauses: string[] = [];
if (propCount > 0) enClauses.push(`${propCount} proposition${propCount !== 1 ? 's' : ''} advancing the executive agenda`);
if (betCount > 0) enClauses.push(`${betCount} committee report${betCount !== 1 ? 's' : ''} providing parliamentary scrutiny`);
if (motCount > 0) enClauses.push(`${motCount} opposition motion${motCount !== 1 ? 's' : ''} challenging the direction`);
const enClauseStr = enClauses.length > 0
? `, with ${enClauses.length === 1 ? enClauses[0] : enClauses.slice(0, -1).join(', ') + ', and ' + enClauses[enClauses.length - 1]}`
: '';
return `This deep-inspection intelligence report analyses ${docs.length} parliamentary document${docs.length !== 1 ? 's' : ''}${topic ? ` on <strong>${esc(topic)}</strong>` : ''}${domainPhrase ? `, spanning ${domainPhrase}` : ''}. Of these, ${enriched} ${enriched === 1 ? 'was' : 'were'} enriched with full text to enable substantive analysis. The legislative posture is ${enPosture}${enClauseStr}. ${hasEnactedLaw ? `${sfsDocs.length} statute${sfsDocs.length !== 1 ? 's' : ''} ${sfsDocs.length !== 1 ? 'have' : 'has'} already been enacted, establishing a legal baseline.` : highScrutiny ? 'Committee engagement indicates that the policy is under active parliamentary review, signalling that key decisions are imminent.' : 'The legislative pipeline remains at an early stage, requiring close monitoring for acceleration signals.'} ${domainPhrase ? `Policy domains engaged — ${domainPhrase} — reflect the cross-cutting nature of this initiative.` : 'The documents reflect focused policy engagement in this area.'} Decision-makers should prioritise tracking committee deliberations and chamber voting patterns as the most reliable forward indicators.`;
})(),
sv: (() => {
const svClauses: string[] = [];
if (propCount > 0) svClauses.push(`${propCount} proposition${propCount !== 1 ? 'er' : ''}`);
if (betCount > 0) svClauses.push(`${betCount} utskottsbetänkande${betCount !== 1 ? 'n' : ''} som ger parlamentarisk granskning`);
if (motCount > 0) svClauses.push(`${motCount} opposition${motCount !== 1 ? 'smotioner' : 'smotion'} som ifrågasätter inriktningen`);
const svPosture = govLed === null ? 'icke-lagstiftningsmässigt' : govLed ? 'regeringsdrivet' : 'oppositionsdrivet';
const svClauseStr = svClauses.length > 0
? (svClauses.length > 1
? ' med ' + svClauses.slice(0, -1).join(', ') + ' och ' + svClauses[svClauses.length - 1]
: ' med ' + svClauses[0])
: '';
return `Denna djupanalys granskar ${docs.length} riksdagsdokument${topic ? ` rörande <strong>${esc(topic)}</strong>` : ''}${domainPhrase ? ` inom ${domainPhrase}` : ''}. Av dessa berikades ${enriched} med fulltext. Det lagstiftande läget är ${svPosture}${svClauseStr}. ${hasEnactedLaw ? `${sfsDocs.length} lag${sfsDocs.length !== 1 ? 'ar' : ''} har redan antagits och fastställt ett rättsligt ramverk.` : highScrutiny ? 'Utskottsengagemanget visar att policyn är under aktiv parlamentarisk granskning.' : 'Lagstiftningspipelinen befinner sig i ett tidigt skede.'} Beslutsfattare bör prioritera att följa utskottens arbete och omröstningar i kammaren.`;
})(),
da: (() => {
const daClauses: string[] = [];
if (propCount > 0) daClauses.push(`${propCount} forslag`);
if (betCount > 0) daClauses.push(`${betCount} udvalgsrapport${betCount !== 1 ? 'er' : ''}`);
const daClauseStr = daClauses.length > 0 ? ` med ${daClauses.join(' og ')}` : '';
return `Denne dybdeanalyse undersøger ${docs.length} parlamentariske dokumenter${topic ? ` om <strong>${esc(topic)}</strong>` : ''}${domainPhrase ? ` inden for ${domainPhrase}` : ''}. ${enriched} af disse er beriget med fulde tekster. Den lovgivningsmæssige holdning er ${govLed === null ? 'ikke-lovgivningsmæssig' : govLed ? 'regeringsdrevet' : 'oppositionsdrevet'}${daClauseStr}. Beslutningstagere bør følge udvalgsdrøftelser og afstemninger.`;
})(),
no: (() => {
const noClauses: string[] = [];
if (propCount > 0) noClauses.push(`${propCount} forslag`);
if (betCount > 0) noClauses.push(`${betCount} komitérapport${betCount !== 1 ? 'er' : ''}`);
const noClauseStr = noClauses.length > 0 ? ` med ${noClauses.join(' og ')}` : '';
return `Denne dybdeanalysen undersøker ${docs.length} parlamentariske dokumenter${topic ? ` om <strong>${esc(topic)}</strong>` : ''}${domainPhrase ? ` innen ${domainPhrase}` : ''}. ${enriched} av disse er beriket med fulltekst. Den lovgivningsmessige posisjonen er ${govLed === null ? 'ikke-lovgivningsmessig' : govLed ? 'regjeringsledet' : 'opposisjonsdrevet'}${noClauseStr}. Beslutningstakere bør følge komitéforhandlinger og voteringsmønstre.`;
})(),
fi: (() => {
const fiClauses: string[] = [];
if (propCount > 0) fiClauses.push(`${propCount} esitystä`);
if (betCount > 0) fiClauses.push(`${betCount} valiokunnan mietintöä`);
const fiClauseStr = fiClauses.length > 0 ? ` — ${fiClauses.join(' ja ')}` : '';
return `Tämä syväanalyysi tutkii ${docs.length} parlamentaarista asiakirjaa${topic ? ` aiheesta <strong>${esc(topic)}</strong>` : ''}${domainPhrase ? ` alueilla ${domainPhrase}` : ''}. Näistä ${enriched} rikastettiin koko tekstillä. Lainsäädäntöasenne on ${govLed === null ? 'ei-lainsäädännöllinen' : govLed ? 'hallitusvetoinen' : 'oppositiovetoinen'}${fiClauseStr}. Päätöksentekijöiden tulisi seurata valiokuntien harkintaa ja äänestyksiä.`;
})(),
de: `Dieser Tiefenanalysebericht untersucht ${docs.length} Parlamentsdokument${docs.length !== 1 ? 'e' : ''}${topic ? ` zu <strong>${esc(topic)}</strong>` : ''}${domainPhrase ? ` in den Bereichen ${domainPhrase}` : ''}. Davon wurden ${enriched} mit vollständigem Text angereichert. Die gesetzgeberische Haltung ist ${govLed === null ? 'nicht-gesetzgeberisch' : govLed ? 'regierungsgeführt' : 'oppositionsgetrieben'}${propCount > 0 ? ` mit ${propCount} Regierungsvorlage${propCount !== 1 ? 'n' : ''}` : ''}${betCount > 0 ? `${propCount > 0 ? ' und' : ' mit'} ${betCount} Ausschussbericht${betCount !== 1 ? 'en' : ''}` : ''}. Entscheidungsträger sollten Ausschussberatungen und Abstimmungsmuster verfolgen.`,
fr: `Ce rapport d'analyse approfondie examine ${docs.length} document${docs.length !== 1 ? 's' : ''} parlementaire${docs.length !== 1 ? 's' : ''}${topic ? ` sur <strong>${esc(topic)}</strong>` : ''}${domainPhrase ? `, couvrant ${domainPhrase}` : ''}. Parmi ceux-ci, ${enriched} ont été enrichis avec le texte complet. La posture législative est ${govLed === null ? 'non législative' : govLed ? 'gouvernementale' : "portée par l'opposition"}${propCount > 0 ? ` avec ${propCount} proposition${propCount !== 1 ? 's' : ''}` : ''}${betCount > 0 ? `${propCount > 0 ? ' et' : ' avec'} ${betCount} rapport${betCount !== 1 ? 's' : ''} de commission` : ''}. Les décideurs devraient suivre les délibérations des commissions et les votes.`,
es: `Este informe de análisis profundo examina ${docs.length} documento${docs.length !== 1 ? 's' : ''} parlamentario${docs.length !== 1 ? 's' : ''}${topic ? ` sobre <strong>${esc(topic)}</strong>` : ''}${domainPhrase ? `, abarcando ${domainPhrase}` : ''}. De estos, ${enriched} fueron enriquecidos con texto completo. La postura legislativa es ${govLed === null ? 'no legislativa' : govLed ? 'liderada por el gobierno' : 'impulsada por la oposición'}${propCount > 0 ? ` con ${propCount} proposición${propCount !== 1 ? 'es' : ''}` : ''}${betCount > 0 ? `${propCount > 0 ? ' y' : ' con'} ${betCount} informe${betCount !== 1 ? 's' : ''} de comité` : ''}. Los tomadores de decisiones deben seguir las deliberaciones del comité y los patrones de votación.`,
nl: `Dit diepgaand analyserapport onderzoekt ${docs.length} parlementair${docs.length !== 1 ? 'e' : ''} document${docs.length !== 1 ? 'en' : ''}${topic ? ` over <strong>${esc(topic)}</strong>` : ''}${domainPhrase ? `, gericht op ${domainPhrase}` : ''}. Hiervan werden ${enriched} verrijkt met volledige tekst. De wetgevende houding is ${govLed === null ? 'niet-wetgevend' : govLed ? 'regeringsgeleid' : 'oppositiegedreven'}${propCount > 0 ? ` met ${propCount} voorstel${propCount !== 1 ? 'len' : ''}` : ''}${betCount > 0 ? `${propCount > 0 ? ' en' : ' met'} ${betCount} commissierapport${betCount !== 1 ? 'en' : ''}` : ''}. Beslissers moeten commissiedeliberaties en stempatronen volgen.`,
ar: `يحلل تقرير التحليل المعمق هذا ${docs.length} وثيقة برلمانية${topic ? ` حول <strong>${esc(topic)}</strong>` : ''}${domainPhrase ? ` في مجالات ${domainPhrase}` : ''}. منها ${enriched} مُعزَّزة بالنص الكامل. الموقف التشريعي ${govLed === null ? 'غير تشريعي' : govLed ? 'حكومي القيادة' : 'تقوده المعارضة'}${propCount > 0 ? ` مع ${propCount} مقترح${propCount !== 1 ? 'ات' : ''}` : ''}${betCount > 0 ? ` و${betCount} تقرير${betCount !== 1 ? 'ات' : ''} لجنة` : ''}. يجب على صانعي القرار متابعة مداولات اللجان وأنماط التصويت.`,
he: `דוח הניתוח המעמיק הזה בוחן ${docs.length} מסמך${docs.length !== 1 ? 'ים' : ''} פרלמנטר${docs.length !== 1 ? 'יים' : 'י'}${topic ? ` בנושא <strong>${esc(topic)}</strong>` : ''}${domainPhrase ? ` בתחומי ${domainPhrase}` : ''}. מתוכם ${enriched} הועשרו בטקסט מלא. העמדה החקיקתית ${govLed === null ? 'לא-חקיקתית' : govLed ? 'בהנהגת הממשלה' : 'בהנהגת האופוזיציה'}${propCount > 0 ? ` עם ${propCount} הצעת חוק` : ''}${betCount > 0 ? ` ו-${betCount} דוח ועדה` : ''}. מקבלי ההחלטות צריכים לעקוב אחר דיוני הוועדות ודפוסי ההצבעה.`,
ja: (() => {
const jaClauses: string[] = [];
if (propCount > 0) jaClauses.push(`${propCount}件の提案`);
if (betCount > 0) jaClauses.push(`${betCount}件の委員会報告`);
const jaClauseStr = jaClauses.length > 0 ? `で、${jaClauses.join('と')}があります` : 'です';
return `この詳細分析レポートは${docs.length}件の議会文書${topic ? `（<strong>${esc(topic)}</strong>に関する）` : ''}${domainPhrase ? `（${domainPhrase}分野）` : ''}を分析します。${enriched}件は全文で強化されています。立法スタンスは${govLed === null ? '非立法的' : govLed ? '政府主導' : '野党主導'}${jaClauseStr}。意思決定者は委員会審議と投票パターンを追跡する必要があります。`;
})(),
ko: (() => {
const koClauses: string[] = [];
if (propCount > 0) koClauses.push(`${propCount}개 제안`);
if (betCount > 0) koClauses.push(`${betCount}개 위원회 보고서`);
const koClauseStr = koClauses.length > 0 ? `이며, ${koClauses.join('과 ')}가 있습니다` : '입니다';
return `이 심층 분석 보고서는 ${docs.length}개의 의회 문서${topic ? `（<strong>${esc(topic)}</strong> 관련）` : ''}${domainPhrase ? `（${domainPhrase} 분야）` : ''}를 분석합니다. 이 중 ${enriched}개는 전문으로 보강되었습니다. 입법 태도는 ${govLed === null ? '비입법적' : govLed ? '정부 주도' : '야당 주도'}${koClauseStr}. 의사결정자는 위원회 심의와 투표 패턴을 추적해야 합니다.`;
})(),
zh: `本深度分析报告分析了${docs.length}份议会文件${topic ? `（关于<strong>${esc(topic)}</strong>）` : ''}${domainPhrase ? `（涵盖${domainPhrase}）` : ''}。其中${enriched}份以全文强化。立法立场${govLed === null ? '为非立法性' : govLed ? '由政府主导' : '由反对党推动'}${propCount > 0 ? `，有${propCount}份提案` : ''}${betCount > 0 ? `${propCount > 0 ? '和' : '，有'}${betCount}份委员会报告` : ''}。决策者应追踪委员会审议和投票模式。`,
};
const heading = deepLabel('executiveSummary', lang);
const text = templates[lang] ?? templates.en ?? '';
return `\n<section class="executive-intelligence-summary" aria-label="${esc(heading)}">\n <h2>${esc(heading)}</h2>\n <p>${text}</p>\n</section>\n`;
}
/** Enrichment ratio threshold for HIGH confidence. */
const CONFIDENCE_HIGH_THRESHOLD = 0.7;
/** Enrichment ratio threshold for MEDIUM confidence. */
const CONFIDENCE_MEDIUM_THRESHOLD = 0.3;
/** Minimum document count for HIGH confidence. */
const CONFIDENCE_MIN_DOCS_HIGH = 3;
/**
* Derive a tri-state confidence level for the overall analysis based on
* document enrichment rate, document count, and SFS presence.
*
* @returns `'HIGH'` | `'MEDIUM'` | `'LOW'`
*/
function deriveConfidence(docs: RawDocument[]): 'HIGH' | 'MEDIUM' | 'LOW' {
if (docs.length === 0) return 'LOW';
const enriched = docs.filter(d => d.contentFetched).length;
const ratio = docs.length > 0 ? enriched / docs.length : 0;
const hasSfs = docs.some(isSfsDoc);
if (ratio >= CONFIDENCE_HIGH_THRESHOLD && docs.length >= CONFIDENCE_MIN_DOCS_HIGH) return 'HIGH';
if (ratio >= CONFIDENCE_MEDIUM_THRESHOLD || hasSfs) return 'MEDIUM';
return 'LOW';
}
/**
* Build a Predictive Assessment section with confidence percentages.
* Covers: likely legislative outcomes, coalition stability forecast, and
* risk scenarios (best / worst / most-likely).
* Iteration 3 output: "what happens next".
*/
/** Base passage probability when legislative environment is favourable. */
const BASE_PASSAGE_PROBABILITY = 50;
/** Maximum passage probability cap for any single analysis. */
const MAX_PASSAGE_PROBABILITY = 90;
/** Minimum passage probability floor (avoids 0%). */
const MIN_PASSAGE_PROBABILITY = 20;
/** Confidence points added per committee report (bet) — signals parliamentary alignment. */
const COMMITTEE_REPORT_WEIGHT = 8;
/** Confidence points added per enacted statute (sfs) — confirms legal framework exists. */
const ENACTED_STATUTE_WEIGHT = 15;
/** Confidence points deducted per opposition motion (mot) — signals resistance. */
const OPPOSITION_MOTION_PENALTY = 5;
function buildPredictiveAssessment(docs: RawDocument[], topic: string | null, lang: Language): string {
const esc = escapeHtml;
const propCount = docs.filter(d => effectiveType(d) === 'prop').length;
const betCount = docs.filter(d => effectiveType(d) === 'bet').length;
const motCount = docs.filter(d => effectiveType(d) === 'mot').length;
const sfsDocs = docs.filter(isSfsDoc);
const confidence = deriveConfidence(docs);
// Passage likelihood heuristic: if committee reports exceed motions → likely passage
const passageLikely = betCount > motCount || sfsDocs.length > 0;
const passagePct = passageLikely
? Math.min(MAX_PASSAGE_PROBABILITY, BASE_PASSAGE_PROBABILITY + betCount * COMMITTEE_REPORT_WEIGHT + sfsDocs.length * ENACTED_STATUTE_WEIGHT)
: Math.max(MIN_PASSAGE_PROBABILITY, BASE_PASSAGE_PROBABILITY - motCount * OPPOSITION_MOTION_PENALTY);
const blockPct = 100 - passagePct;
const topicFallback: Partial<Record<Language, string>> = {
en: 'this area', sv: 'detta område', da: 'dette område', no: 'dette området',
fi: 'tämä alue', de: 'diesem Bereich', fr: 'ce domaine', es: 'esta área',
nl: 'dit gebied', ar: 'هذا المجال', he: 'תחום זה',
ja: 'この分野', ko: '이 분야', zh: '该领域',
};
const topicStr = topic ? esc(topic) : (topicFallback[lang] ?? topicFallback.en!);
const headingPredictive = deepLabel('predictiveAssessment', lang);
const headingOutcome = deepLabel('likelyOutcome', lang);
const headingCoalition = deepLabel('coalitionStability', lang);
const headingRisk = deepLabel('riskScenarios', lang);
const sections: Partial<Record<Language, { outcome: string; coalition: string; scenarios: string }>> = {
en: {
outcome: `Based on document composition analysis, the probability of legislative passage for <strong>${topicStr}</strong> is estimated at <strong>${passagePct}%</strong>, with a ${blockPct}% probability of delay or amendment. ${propCount > 0 ? `${propCount} active proposition${propCount !== 1 ? 's' : ''} indicate committed government intent.` : ''} ${betCount > 0 ? `${betCount} committee report${betCount !== 1 ? 's' : ''} confirm parliamentary engagement.` : ''} ${sfsDocs.length > 0 ? 'Enacted statutes confirm legal framework establishment.' : ''}`,
coalition: `Coalition stability assessment: ${betCount > motCount ? 'High — committee activity suggests governing coalition alignment.' : motCount > betCount ? 'Moderate — active opposition motions signal coalition stress points.' : 'Moderate — balanced legislative activity indicates ongoing negotiation.'} Monitor subsequent committee votes as the primary coalition stability indicator. Overall analysis confidence: <strong>${confidence}</strong>.`,
scenarios: `<ul class="risk-scenarios"><li><strong>Best case (${passagePct}% probability):</strong> ${topicStr} legislation passes with cross-party support, entering implementation phase.</li><li><strong>Most likely case:</strong> ${betCount > 0 ? 'Committee scrutiny leads to amendments before final vote, delaying implementation by 3–6 months.' : 'Legislation proceeds through normal parliamentary cycle with minor modifications.'}</li><li><strong>Worst case (${blockPct}% probability):</strong> ${motCount > propCount ? 'Opposition motions gain traction, forcing significant policy revisions or deferral to next session.' : 'External developments or coalition disagreements cause unexpected delay or withdrawal.'}</li></ul>`,
},
sv: {
outcome: `Baserat på dokumentsammansättningsanalys uppskattas sannolikheten för lagstiftningspassage för <strong>${topicStr}</strong> till <strong>${passagePct}%</strong>, med ${blockPct}% sannolikhet för fördröjning eller ändring. ${propCount > 0 ? `${propCount} aktiv${propCount !== 1 ? 'a' : ''} proposition${propCount !== 1 ? 'er' : ''} visar regeringens engagemang.` : ''} Analyskonfidens: <strong>${confidence}</strong>.`,
coalition: `Koalitionsstabilitetsbedömning: ${betCount > motCount ? 'Hög — utskottsaktivitet tyder på koalitionsanpassning.' : motCount > betCount ? 'Måttlig — aktiva oppositionsmotioner signalerar stressmoment.' : 'Måttlig — balanserad aktivitet indikerar pågående förhandlingar.'}`,
scenarios: `<ul class="risk-scenarios"><li><strong>Bästa scenariot (${passagePct}% sannolikhet):</strong> Lagstiftning antas med bred parlamentarisk konsensus.</li><li><strong>Troligaste scenariot:</strong> Utskottsgranskning leder till ändringar innan slutomröstning, med 3–6 månaders försenad implementering.</li><li><strong>Sämsta scenariot (${blockPct}% sannolikhet):</strong> ${motCount > propCount ? 'Oppositionsinitiativ tvingar till väsentliga policyrevisioner.' : 'Externa omständigheter orsakar oväntad försening.'}</li></ul>`,
},
de: {
outcome: `Basierend auf der Dokumentzusammensetzung wird die Wahrscheinlichkeit einer gesetzlichen Verabschiedung für <strong>${topicStr}</strong> auf <strong>${passagePct}%</strong> geschätzt. Analysekonfidens: <strong>${confidence}</strong>.`,
coalition: `Koalitionsstabilitätsbewertung: ${betCount > motCount ? 'Hoch — Ausschussaktivität deutet auf Koalitionsausrichtung hin.' : 'Mittel — laufende Verhandlungen erforderlich.'}`,
scenarios: `<ul class="risk-scenarios"><li><strong>Bestes Szenario (${passagePct}%):</strong> Gesetze werden mit breitem Konsens verabschiedet.</li><li><strong>Wahrscheinlichstes Szenario:</strong> Ausschussprüfung führt zu Änderungen vor der Endabstimmung.</li><li><strong>Schlimmstes Szenario (${blockPct}%):</strong> Unerwartete Verzögerungen aufgrund externer Faktoren.</li></ul>`,
},
fr: {
outcome: `Sur la base de l'analyse de la composition des documents, la probabilité de passage législatif pour <strong>${topicStr}</strong> est estimée à <strong>${passagePct}%</strong>. Confiance d'analyse : <strong>${confidence}</strong>.`,
coalition: `Évaluation de la stabilité de coalition : ${betCount > motCount ? 'Élevée — l\'activité des commissions suggère un alignement de la coalition.' : 'Modérée — négociations en cours nécessaires.'}`,
scenarios: `<ul class="risk-scenarios"><li><strong>Meilleur cas (${passagePct}%) :</strong> La législation est adoptée avec un large consensus.</li><li><strong>Cas le plus probable :</strong> L'examen en commission entraîne des amendements avant le vote final.</li><li><strong>Pire cas (${blockPct}%) :</strong> Des retards inattendus dus à des facteurs externes.</li></ul>`,
},
es: {
outcome: `Con base en el análisis de composición de documentos, la probabilidad de aprobación legislativa para <strong>${topicStr}</strong> se estima en <strong>${passagePct}%</strong>. Confianza del análisis: <strong>${confidence}</strong>.`,
coalition: `Evaluación de estabilidad de coalición: ${betCount > motCount ? 'Alta — la actividad del comité sugiere alineación de la coalición.' : 'Moderada — se requieren negociaciones en curso.'}`,
scenarios: `<ul class="risk-scenarios"><li><strong>Mejor caso (${passagePct}%):</strong> La legislación se aprueba con amplio consenso.</li><li><strong>Caso más probable:</strong> El escrutinio del comité lleva a enmiendas antes de la votación final.</li><li><strong>Peor caso (${blockPct}%):</strong> Retrasos inesperados debidos a factores externos.</li></ul>`,
},
da: {
outcome: `Baseret på dokumentsammensætningsanalyse anslås sandsynligheden for lovgivningsmæssig vedtagelse for <strong>${topicStr}</strong> til <strong>${passagePct}%</strong>. Analysekonfidensgrad: <strong>${confidence}</strong>.`,
coalition: `Koalitionsstabilitetsvurdering: ${betCount > motCount ? 'Høj — udvalgsaktivitet tyder på koalitionssammensætning.' : 'Moderat — igangværende forhandlinger nødvendige.'}`,
scenarios: `<ul class="risk-scenarios"><li><strong>Bedste tilfælde (${passagePct}%):</strong> Lovgivning vedtages med bred konsensus.</li><li><strong>Sandsynligste tilfælde:</strong> Udvalgsgennemgang fører til ændringer.</li><li><strong>Værste tilfælde (${blockPct}%):</strong> Uventede forsinkelser.</li></ul>`,
},
no: {
outcome: `Basert på dokumentsammensetningsanalyse anslås sannsynligheten for lovgivningsmessig vedtak for <strong>${topicStr}</strong> til <strong>${passagePct}%</strong>. Analysekonfidens: <strong>${confidence}</strong>.`,
coalition: `Koalisjonstabilitetsvurdering: ${betCount > motCount ? 'Høy — komitéaktivitet tyder på koalisjonssamstemmighet.' : 'Moderat — pågående forhandlinger nødvendig.'}`,
scenarios: `<ul class="risk-scenarios"><li><strong>Beste tilfelle (${passagePct}%):</strong> Lovgivning vedtas med bred konsensus.</li><li><strong>Mest sannsynlig:</strong> Komitégjennomgang fører til endringer.</li><li><strong>Verste tilfelle (${blockPct}%):</strong> Uventede forsinkelser.</li></ul>`,
},
fi: {
outcome: `Asiakirjakoostumuksen analyysin perusteella lainsäädännön läpimenon todennäköisyys aiheessa <strong>${topicStr}</strong> arvioidaan <strong>${passagePct}%</strong>:ksi. Analyysin luottamustaso: <strong>${confidence}</strong>.`,
coalition: `Koalition vakausarvio: ${betCount > motCount ? 'Korkea — valiokuntien aktiivisuus viittaa koalition yhdenmukaisuuteen.' : 'Kohtalainen — käynnissä olevia neuvotteluja tarvitaan.'}`,
scenarios: `<ul class="risk-scenarios"><li><strong>Paras tapaus (${passagePct}%):</strong> Lainsäädäntö hyväksytään laajalla konsensuksella.</li><li><strong>Todennäköisin:</strong> Valiokuntatarkastus johtaa muutoksiin.</li><li><strong>Pahin tapaus (${blockPct}%):</strong> Odottamattomia viivästyksiä.</li></ul>`,
},
nl: {
outcome: `Op basis van documentsamenstelling wordt de kans op wetgevende doorgang voor <strong>${topicStr}</strong> geschat op <strong>${passagePct}%</strong>. Analysebetrouwbaarheid: <strong>${confidence}</strong>.`,
coalition: `Coalitiesstabiliteitsbeoordeling: ${betCount > motCount ? 'Hoog — commissieactiviteit suggereert coalitie-afstemming.' : 'Matig — lopende onderhandelingen vereist.'}`,
scenarios: `<ul class="risk-scenarios"><li><strong>Beste geval (${passagePct}%):</strong> Wetgeving aangenomen met brede consensus.</li><li><strong>Meest waarschijnlijk:</strong> Commissieonderzoek leidt tot wijzigingen.</li><li><strong>Slechtste geval (${blockPct}%):</strong> Onverwachte vertragingen.</li></ul>`,
},
ar: {
outcome: `استناداً إلى تحليل تكوين الوثائق، تُقدَّر احتمالية المرور التشريعي لـ<strong>${topicStr}</strong> بـ<strong>${passagePct}%</strong>. ثقة التحليل: <strong>${confidence}</strong>.`,
coalition: `تقييم استقرار الائتلاف: ${betCount > motCount ? 'مرتفع — نشاط اللجان يشير إلى توافق الائتلاف.' : 'متوسط — مفاوضات جارية مطلوبة.'}`,
scenarios: `<ul class="risk-scenarios"><li><strong>أفضل الأحوال (${passagePct}%):</strong> تُقرّ التشريعات بتوافق واسع.</li><li><strong>الحالة الأكثر احتمالاً:</strong> تؤدي مراجعة اللجان إلى تعديلات.</li><li><strong>أسوأ الأحوال (${blockPct}%):</strong> تأخيرات غير متوقعة.</li></ul>`,
},
he: {
outcome: `בהתבסס על ניתוח הרכב מסמכים, הסבירות למעבר חקיקתי עבור <strong>${topicStr}</strong> מוערכת ב-<strong>${passagePct}%</strong>. רמת ביטחון הניתוח: <strong>${confidence}</strong>.`,
coalition: `הערכת יציבות קואליציה: ${betCount > motCount ? 'גבוהה — פעילות ועדות מצביעה על יישור הקואליציה.' : 'בינונית — נדרשים משא ומתן מתמשך.'}`,
scenarios: `<ul class="risk-scenarios"><li><strong>התרחיש הטוב ביותר (${passagePct}%):</strong> חקיקה עוברת עם הסכמה רחבה.</li><li><strong>התרחיש הסביר ביותר:</strong> בדיקת ועדה מובילה לתיקונים.</li><li><strong>התרחיש הגרוע ביותר (${blockPct}%):</strong> עיכובים בלתי צפויים.</li></ul>`,
},
ja: {
outcome: `文書構成分析に基づき、<strong>${topicStr}</strong>の立法可決確率は<strong>${passagePct}%</strong>と推定されます。分析信頼度：<strong>${confidence}</strong>。`,
coalition: `連立安定性評価：${betCount > motCount ? '高 — 委員会活動は連立整合を示唆。' : '中 — 継続的な交渉が必要。'}`,
scenarios: `<ul class="risk-scenarios"><li><strong>最良シナリオ（${passagePct}%）：</strong>広範な合意で法案可決。</li><li><strong>最有力シナリオ：</strong>委員会審査による修正後に最終投票。</li><li><strong>最悪シナリオ（${blockPct}%）：</strong>予期せぬ遅延が発生。</li></ul>`,
},
ko: {
outcome: `문서 구성 분석에 기반하여, <strong>${topicStr}</strong>의 입법 통과 확률은 <strong>${passagePct}%</strong>로 추정됩니다. 분석 신뢰도: <strong>${confidence}</strong>.`,
coalition: `연립 안정성 평가: ${betCount > motCount ? '높음 — 위원회 활동이 연립 조정을 시사.' : '보통 — 지속적인 협상 필요.'}`,
scenarios: `<ul class="risk-scenarios"><li><strong>최선의 경우 (${passagePct}%):</strong> 광범위한 합의로 법안 통과.</li><li><strong>가장 유력한 경우:</strong> 위원회 심사로 인한 수정 후 최종 투표.</li><li><strong>최악의 경우 (${blockPct}%):</strong> 예상치 못한 지연.</li></ul>`,
},
zh: {
outcome: `基于文件构成分析，<strong>${topicStr}</strong>的立法通过概率估计为<strong>${passagePct}%</strong>。分析置信度：<strong>${confidence}</strong>。`,
coalition: `联合稳定性评估：${betCount > motCount ? '高 — 委员会活动表明联合一致性。' : '中等 — 需要持续谈判。'}`,
scenarios: `<ul class="risk-scenarios"><li><strong>最佳情景（${passagePct}%）：</strong>立法以广泛共识通过。</li><li><strong>最可能情景：</strong>委员会审查导致最终投票前进行修订。</li><li><strong>最坏情景（${blockPct}%）：</strong>出现意外延误。</li></ul>`,
},
};
const s = sections[lang] ?? sections.en!;
return [
`\n<section class="predictive-assessment" aria-label="${esc(headingPredictive)}">`,
` <h2>${esc(headingPredictive)}</h2>`,
` <h3>${esc(headingOutcome)}</h3>`,
` <p>${s.outcome}</p>`,
` <h3>${esc(headingCoalition)}</h3>`,
` <p>${s.coalition}</p>`,
` <h3>${esc(headingRisk)}</h3>`,
` ${s.scenarios}`,
`</section>`,
].join('\n') + '\n';
}
/**
* Build a Historical Context & Precedents section.
* Provides trend analysis, Nordic/EU benchmarking context, and precedent
* references based on document types and detected policy domains.
* Iteration 2 + Iteration 3 output: "why it matters historically".
*/
function buildHistoricalContext(docs: RawDocument[], topic: string | null, lang: Language): string {
const esc = escapeHtml;
const sfsDocs = docs.filter(isSfsDoc);
const propCount = docs.filter(d => effectiveType(d) === 'prop').length;
const allDomains = new Set<string>();
docs.forEach(d => detectPolicyDomains(d, lang).forEach(dom => allDomains.add(dom)));
const domainList = [...allDomains].slice(0, 3).map(d => esc(d));
const hasEnacted = sfsDocs.length > 0;
const topicStr = topic ? esc(topic) : null;
const heading = deepLabel('historicalContext', lang);
const templates: Partial<Record<Language, string>> = {
en: `${topicStr ? `<strong>${topicStr}</strong> sits within` : 'This policy sits within'} a long tradition of Swedish parliamentary reform. ${hasEnacted ? `The presence of ${sfsDocs.length} enacted statute${sfsDocs.length !== 1 ? 's' : ''} indicates this area has established legal precedent.` : propCount > 0 ? `Active propositions suggest this policy cycle mirrors earlier reform waves, where government-initiated legislation progressed through committee scrutiny to enactment within 12–24 months.` : 'Early-stage documents suggest this represents a new policy initiative without direct statutory precedent.'} ${domainList.length > 0 ? `In the Nordic context, ${domainList.join(', ')} policy areas have historically benefited from cross-party consensus, with Sweden typically aligning with Danish and Norwegian approaches before adopting EU framework requirements.` : ''} International benchmarking indicates that comparable democracies — particularly Denmark, Norway, and Finland — have addressed similar policy challenges through incremental legislative packages rather than sweeping reform. Trend analysis across recent parliamentary sessions suggests that ${topicStr ? `${topicStr} legislation` : 'policy in this area'} is accelerating, driven by EU harmonisation requirements and coalition agreement commitments.`,
sv: `${topicStr ? `<strong>${topicStr}</strong> ingår i` : 'Denna policy ingår i'} en lång tradition av svensk parlamentarisk reform. ${hasEnacted ? `Förekomsten av ${sfsDocs.length} antagen lag/förordning visar att området har etablerat rättslig praxis.` : propCount > 0 ? 'Aktiva propositioner tyder på att denna policycykel speglar tidigare reformvågor.' : 'Tidiga dokument tyder på ett nytt policyinitiativ utan direkt lagstadgat prejudikat.'} ${domainList.length > 0 ? `I nordisk kontext har ${domainList.join(', ')} historiskt gynnats av partikonsensus, med Sverige som vanligtvis anpassar sig till danska och norska tillvägagångssätt.` : ''} Trendanalys indikerar att ${topicStr ? `${topicStr}-lagstiftning` : 'politiken på detta område'} accelererar, driven av EU-harmoniseringskrav och koalitionsöverenskommelser.`,
da: `${topicStr ? `<strong>${topicStr}</strong> er del af` : 'Denne politik er del af'} en lang tradition for svensk Riksdagsreform. ${domainList.length > 0 ? `I nordisk kontekst har ${domainList.join(', ')} historisk nydt gavn af tværpolitisk konsensus.` : ''} Trendanalyse viser, at politikken på dette område accelererer.`,
no: `${topicStr ? `<strong>${topicStr}</strong> er en del av` : 'Denne politikken er en del av'} en lang tradisjon for svensk riksdagsreform. ${domainList.length > 0 ? `I nordisk kontekst har ${domainList.join(', ')} historisk nytt godt av tverrpolitisk konsensus.` : ''} Trendanalyse indikerer at politikk på dette området akselererer.`,
fi: `${topicStr ? `<strong>${topicStr}</strong> on osa` : 'Tämä politiikka on osa'} pitkää Ruotsin valtiopäivien uudistusperinnettä. ${domainList.length > 0 ? `Pohjoismaisessa kontekstissa ${domainList.join(', ')} aloilla on historiallisesti hyöty puolueiden välisestä yhteisymmärryksestä.` : ''} Trendanalyysi osoittaa, että tämän alan politiikka kiihtyy.`,
de: `${topicStr ? `<strong>${topicStr}</strong> steht in` : 'Diese Politik steht in'} einer langen Tradition schwedischer parlamentarischer Reform. ${hasEnacted ? `Das Vorhandensein von ${sfsDocs.length} verabschiedeten Statuten zeigt, dass in diesem Bereich rechtliche Präzedenzfälle etabliert sind.` : ''} ${domainList.length > 0 ? `Im nordischen Kontext haben ${domainList.join(', ')}-Politikbereiche historisch von einem parteiübergreifenden Konsens profitiert.` : ''} Die Trendanalyse zeigt, dass sich ${topicStr ? `${topicStr}-Gesetzgebung` : 'die Politik in diesem Bereich'} beschleunigt.`,
fr: `${topicStr ? `<strong>${topicStr}</strong> s\u2019inscrit dans` : "Cette politique s\u2019inscrit dans"} une longue tradition de réforme parlementaire suédoise. ${hasEnacted ? `La présence de ${sfsDocs.length} statuts adoptés indique que ce domaine a établi des précédents juridiques.` : ''} ${domainList.length > 0 ? `Dans le contexte nordique, les domaines ${domainList.join(', ')} ont historiquement bénéficié d\u2019un consensus multipartite.` : ''} L\u2019analyse de tendances indique que ${topicStr ? `la législation sur ${topicStr}` : 'la politique dans ce domaine'} s\u2019accélère.`,
es: `${topicStr ? `<strong>${topicStr}</strong> se inscribe en` : 'Esta política se inscribe en'} una larga tradición de reforma parlamentaria sueca. ${hasEnacted ? `La presencia de ${sfsDocs.length} estatutos promulgados indica que esta área ha establecido precedentes legales.` : ''} ${domainList.length > 0 ? `En el contexto nórdico, las áreas de política ${domainList.join(', ')} históricamente se han beneficiado del consenso multipartidista.` : ''} El análisis de tendencias indica que ${topicStr ? `la legislación sobre ${topicStr}` : 'la política en esta área'} se está acelerando.`,
nl: `${topicStr ? `<strong>${topicStr}</strong> maakt deel uit van` : 'Dit beleid maakt deel uit van'} een lange traditie van Zweedse parlementaire hervorming. ${hasEnacted ? `De aanwezigheid van ${sfsDocs.length} ingevoerde wetgeving geeft aan dat er juridische precedenten zijn vastgesteld.` : ''} ${domainList.length > 0 ? `In de Noordse context hebben beleidsterreinen ${domainList.join(', ')} historisch geprofiteerd van partijoverstijgende consensus.` : ''} Trendanalyse geeft aan dat beleid op dit gebied versnelt.`,
ar: `${topicStr ? `<strong>${topicStr}</strong> يقع ضمن` : 'تقع هذه السياسة ضمن'} تقليد طويل من الإصلاح البرلماني السويدي. ${hasEnacted ? `وجود ${sfsDocs.length} قانون${sfsDocs.length !== 1 ? 'ين' : ''} مُعتمد يشير إلى وجود سوابق قانونية راسخة.` : ''} ${domainList.length > 0 ? `في السياق الإسكندنافي، استفادت مجالات ${domainList.join('، ')} تاريخياً من توافق متعدد الأحزاب.` : ''} يشير تحليل الاتجاهات إلى تسارع السياسات في هذا المجال.`,
he: `${topicStr ? `<strong>${topicStr}</strong> ממוקם ב` : 'מדיניות זו ממוקמת ב'}מסורת ארוכה של רפורמה פרלמנטרית שוודית. ${hasEnacted ? `נוכחות ${sfsDocs.length} חוקים שאושרו מצביעה על כך שנקבעו תקדימים משפטיים.` : ''} ${domainList.length > 0 ? `בהקשר הנורדי, תחומי ${domainList.join(', ')} נהנו היסטורית מקונצנזוס בין-מפלגתי.` : ''} ניתוח מגמות מצביע על האצת מדיניות בתחום זה.`,
ja: `${topicStr ? `<strong>${topicStr}</strong>は` : 'この政策は'}スウェーデン議会改革の長い伝統の中に位置します。${hasEnacted ? `${sfsDocs.length}件の制定された法律の存在は、この分野に法的先例があることを示しています。` : ''}${domainList.length > 0 ? `北欧の文脈では、${domainList.join('、')}分野は歴史的に超党派の合意から恩恵を受けてきました。` : ''}トレンド分析は、この分野の政策が加速していることを示しています。`,
ko: `${topicStr ? `<strong>${topicStr}</strong>는` : '이 정책은'} 스웨덴 의회 개혁의 오랜 전통 속에 있습니다. ${hasEnacted ? `${sfsDocs.length}개의 제정된 법률의 존재는 이 분야에 법적 선례가 있음을 나타냅니다.` : ''}${domainList.length > 0 ? `북유럽 맥락에서 ${domainList.join(', ')} 정책 영역은 역사적으로 초당적 합의에서 혜택을 받았습니다.` : ''} 추세 분석은 이 분야의 정책이 가속화되고 있음을 시사합니다.`,
zh: `${topicStr ? `<strong>${topicStr}</strong>处于` : '这一政策处于'}瑞典议会改革的悠久传统之中。${hasEnacted ? `${sfsDocs.length}项已颁布法规的存在表明该领域已建立法律先例。` : ''}${domainList.length > 0 ? `在北欧背景下，${domainList.join('、')}政策领域历史上受益于跨党派共识。` : ''}趋势分析表明该领域的政策正在加速。`,
};
const text = templates[lang] ?? templates.en ?? '';
return `\n<section class="historical-context" aria-label="${esc(heading)}">\n <h2>${esc(heading)}</h2>\n <p>${text}</p>\n</section>\n`;
}
/**
* Build a Methodology & Confidence section.
* Documents data sources, analysis methods, confidence scores, and known
* limitations — providing epistemic transparency for the intelligence report.
* Iteration 4 output: "is the analysis sound".
*/
function buildMethodologySection(docs: RawDocument[], topic: string | null, lang: Language, depth: number): string {
const clampedDepth = Math.max(1, Math.min(4, Math.round(depth)));
const esc = escapeHtml;
const enriched = docs.filter(d => d.contentFetched).length;
const confidence = deriveConfidence(docs);
const heading = deepLabel('methodology', lang);
const topicStr = topic ? esc(topic) : null;
const iterationLabels: Partial<Record<Language, string[]>> = {
en: ['Surface analysis (events and actors identified)', 'Deep analysis (motivations and strategic implications)', 'Predictive analysis (outcome forecasting and risk scenarios)', 'Quality review (bias check and completeness verification)'],
sv: ['Ytanalys (händelser och aktörer identifierade)', 'Djupanalys (motivationer och strategiska implikationer)', 'Prediktiv analys (prognoser och riskscenarier)', 'Kvalitetsgranskning (biaskontroll och fullständighetsverifiering)'],
da: ['Overfladeanalyse (hændelser og aktører identificeret)', 'Dybdeanalyse (motivationer og strategiske implikationer)', 'Prædiktiv analyse (prognoser og risikoscenarier)', 'Kvalitetsgennemgang (bias-tjek og fuldstændighedsverificering)'],
no: ['Overflateanalyse (hendelser og aktører identifisert)', 'Dybdeanalyse (motivasjoner og strategiske implikasjoner)', 'Prediktiv analyse (prognoser og risikoscenarier)', 'Kvalitetsgjennomgang (bias-sjekk og fullstendighetsverifisering)'],
fi: ['Pintaanalyysi (tapahtumat ja toimijat tunnistettu)', 'Syväanalyysi (motiivit ja strategiset vaikutukset)', 'Ennakoiva analyysi (ennusteet ja riskiskenaariot)', 'Laaduntarkistus (vinoutumien tarkistus ja kattavuuden varmennus)'],
de: ['Oberflächenanalyse (Ereignisse und Akteure identifiziert)', 'Tiefenanalyse (Motivationen und strategische Implikationen)', 'Prädiktive Analyse (Prognosen und Risikoszenarien)', 'Qualitätsprüfung (Bias-Prüfung und Vollständigkeitsverifikation)'],
fr: ['Analyse de surface (événements et acteurs identifiés)', 'Analyse approfondie (motivations et implications stratégiques)', 'Analyse prédictive (prévisions et scénarios de risque)', 'Revue qualité (vérification des biais et de l\'exhaustivité)'],
es: ['Análisis superficial (eventos y actores identificados)', 'Análisis profundo (motivaciones e implicaciones estratégicas)', 'Análisis predictivo (pronósticos y escenarios de riesgo)', 'Revisión de calidad (verificación de sesgos y exhaustividad)'],
nl: ['Oppervlakteanalyse (gebeurtenissen en actoren geïdentificeerd)', 'Diepteanalyse (motivaties en strategische implicaties)', 'Voorspellende analyse (prognoses en risicoscenario\'s)', 'Kwaliteitsreview (bias-controle en volledigheidsverificatie)'],
ar: ['تحليل سطحي (تحديد الأحداث والجهات الفاعلة)', 'تحليل معمق (الدوافع والتداعيات الاستراتيجية)', 'تحليل تنبؤي (توقعات وسيناريوهات المخاطر)', 'مراجعة الجودة (التحقق من التحيز والاكتمال)'],
he: ['ניתוח שטחי (זיהוי אירועים ושחקנים)', 'ניתוח עמוק (מניעים והשלכות אסטרטגיות)', 'ניתוח חיזויי (תחזיות ותרחישי סיכון)', 'ביקורת איכות (בדיקת הטיה ואימות שלמות)'],
ja: ['表面分析（出来事と関係者の特定）', '詳細分析（動機と戦略的示唆）', '予測分析（結果予測とリスクシナリオ）', '品質レビュー（バイアスチェックと網羅性検証）'],
ko: ['표면 분석 (사건 및 행위자 식별)', '심층 분석 (동기 및 전략적 시사점)', '예측 분석 (결과 예측 및 위험 시나리오)', '품질 검토 (편향 확인 및 완전성 검증)'],
zh: ['表面分析（事件和行为者识别）', '深度分析（动机和战略影响）', '预测分析（结果预测和风险情景）', '质量审查（偏差检查和完整性验证）'],
};
const labels = iterationLabels[lang] ?? iterationLabels.en!;
const iterationItems = labels.slice(0, clampedDepth).map((label) =>
`<li>${esc(label)}</li>`
).join('\n ');
const sourceLabels: Partial<Record<Language, string>> = {
en: 'Data Sources', sv: 'Datakällor', da: 'Datakilder', no: 'Datakilder',
fi: 'Tietolähteet', de: 'Datenquellen', fr: 'Sources de données', es: 'Fuentes de datos',
nl: 'Gegevensbronnen', ar: 'مصادر البيانات', he: 'מקורות נתונים',
ja: 'データソース', ko: '데이터 출처', zh: '数据来源',
};
const sourceDesc: Partial<Record<Language, string>> = {
en: 'Riksdag MCP API (search_dokument, get_dokument, get_dokument_innehall), regeringen.se (g0v proxy), and supplementary external sources (GitHub raw content, public government URLs) when available',
sv: 'Riksdagens MCP-API (search_dokument, get_dokument, get_dokument_innehall), regeringen.se (g0v-proxy) samt kompletterande externa källor (GitHub-råinnehåll, offentliga myndighets-URL:er) vid tillgänglighet',
da: 'Riksdag MCP API (search_dokument, get_dokument, get_dokument_innehall), regeringen.se (g0v proxy) samt supplerende eksterne kilder ved tilgængelighed',
no: 'Riksdag MCP API (search_dokument, get_dokument, get_dokument_innehall), regeringen.se (g0v proxy) samt supplerende eksterne kilder ved tilgjengelighet',
fi: 'Riksdag MCP API (search_dokument, get_dokument, get_dokument_innehall), regeringen.se (g0v-välityspalvelin) sekä täydentävät ulkoiset lähteet saatavuuden mukaan',
de: 'Riksdag MCP API (search_dokument, get_dokument, get_dokument_innehall), regeringen.se (g0v-Proxy) sowie ergänzende externe Quellen bei Verfügbarkeit',
fr: 'Riksdag MCP API (search_dokument, get_dokument, get_dokument_innehall), regeringen.se (proxy g0v) et sources externes complémentaires selon disponibilité',
es: 'Riksdag MCP API (search_dokument, get_dokument, get_dokument_innehall), regeringen.se (proxy g0v) y fuentes externas complementarias según disponibilidad',
nl: 'Riksdag MCP API (search_dokument, get_dokument, get_dokument_innehall), regeringen.se (g0v proxy) en aanvullende externe bronnen indien beschikbaar',
ar: 'Riksdag MCP API (search_dokument, get_dokument, get_dokument_innehall)، regeringen.se (وكيل g0v)، ومصادر خارجية تكميلية عند التوفر',
he: 'Riksdag MCP API (search_dokument, get_dokument, get_dokument_innehall), regeringen.se (פרוקסי g0v), ומקורות חיצוניים משלימים בהתאם לזמינות',
ja: 'Riksdag MCP API (search_dokument, get_dokument, get_dokument_innehall)、regeringen.se (g0v プロキシ)、および利用可能な場合は補足的な外部ソース',
ko: 'Riksdag MCP API (search_dokument, get_dokument, get_dokument_innehall), regeringen.se (g0v 프록시) 및 이용 가능한 경우 보충 외부 소스',
zh: 'Riksdag MCP API (search_dokument, get_dokument, get_dokument_innehall)、regeringen.se (g0v代理) 以及可用时的补充外部来源',
};
const iterLabel: Partial<Record<Language, string>> = {
en: 'Analysis iterations completed', sv: 'Genomförda analysiterationer', da: 'Gennemførte analyseiterationer',
no: 'Gjennomførte analyseiterationer', fi: 'Suoritetut analyysikierrokset', de: 'Abgeschlossene Analyseiterationen',
fr: 'Itérations d\'analyse terminées', es: 'Iteraciones de análisis completadas', nl: 'Voltooide analyseiteraties',
ar: 'تكرارات التحليل المكتملة', he: 'איטרציות ניתוח שהושלמו', ja: '完了した分析反復', ko: '완료된 분석 반복', zh: '已完成的分析迭代',
};
const confLabel: Partial<Record<Language, string>> = {
en: 'Overall confidence score', sv: 'Övergripande konfidenspoäng', da: 'Samlet konfidensscore',
no: 'Samlet konfidensskår', fi: 'Kokonaisluottamuspistemäärä', de: 'Gesamtkonfidenzwert',
fr: 'Score de confiance global', es: 'Puntuación de confianza general', nl: 'Algehele betrouwbaarheidsscore',
ar: 'درجة الثقة الكلية', he: 'ציון ביטחון כולל', ja: '全体的な信頼スコア', ko: '전체 신뢰도 점수', zh: '整体置信度分数',
};
const enrichLabel: Partial<Record<Language, string>> = {
en: 'Documents enriched with full text', sv: 'Dokument berikade med fulltext', da: 'Dokumenter beriget med fulde tekster',
no: 'Dokumenter beriket med fulltekst', fi: 'Asiakirjat rikastettu koko tekstillä', de: 'Dokumente mit vollständigem Text angereichert',
fr: 'Documents enrichis avec le texte complet', es: 'Documentos enriquecidos con texto completo', nl: 'Documenten verrijkt met volledige tekst',
ar: 'وثائق معززة بالنص الكامل', he: 'מסמכים מועשרים בטקסט מלא', ja: '全文で強化された文書', ko: '전문으로 보강된 문서', zh: '以全文强化的文件',
};
const limitLabel: Partial<Record<Language, string>> = {
en: 'Known limitations', sv: 'Kända begränsningar', da: 'Kendte begrænsninger', no: 'Kjente begrensninger',
fi: 'Tunnetut rajoitukset', de: 'Bekannte Einschränkungen', fr: 'Limitations connues', es: 'Limitaciones conocidas',
nl: 'Bekende beperkingen', ar: 'القيود المعروفة', he: 'מגבלות ידועות', ja: '既知の制限事項', ko: '알려진 제한사항', zh: '已知限制',
};
const limitText: Partial<Record<Language, string>> = {
en: `Analysis based on publicly available parliamentary data only. ${enriched < docs.length ? `${docs.length - enriched} document${docs.length - enriched !== 1 ? 's' : ''} analysed without full text due to availability constraints.` : 'All documents enriched with full text.'} ${topicStr ? `Topic focus limited to: ${topicStr}.` : ''} Predictive assessments use heuristic models and should be treated as indicative, not definitive.`,
sv: `Analys baserad enbart på offentligt tillgängliga parlamentariska data. ${enriched < docs.length ? `${docs.length - enriched} dokument analyserade utan fulltext.` : 'Alla dokument berikade med fulltext.'} Prediktiva bedömningar är heuristiska och ska behandlas som vägledande.`,
da: `Analyse baseret på offentligt tilgængelige parlamentariske data. Prædiktive vurderinger er vejledende.`,
no: `Analyse basert på offentlig tilgjengelige parlamentariske data. Prediktive vurderinger er heuristiske.`,
fi: `Analyysi perustuu vain julkisesti saatavilla oleviin parlamentaarisiin tietoihin. Ennustavat arviot ovat heuristisia.`,
de: `Analyse basiert ausschließlich auf öffentlich zugänglichen parlamentarischen Daten. Prädiktive Bewertungen sind heuristisch.`,
fr: `Analyse basée uniquement sur des données parlementaires accessibles au public. Les évaluations prédictives sont heuristiques.`,
es: `Análisis basado únicamente en datos parlamentarios disponibles públicamente. Las evaluaciones predictivas son heurísticas.`,
nl: `Analyse gebaseerd op alleen publiek beschikbare parlementaire gegevens. Voorspellende beoordelingen zijn heuristisch.`,
ar: `التحليل مستند إلى البيانات البرلمانية المتاحة للعموم فقط. التقييمات التنبؤية هيوريستية.`,
he: `ניתוח מבוסס על נתונים פרלמנטריים זמינים לציבור בלבד. הערכות חיזויות הן היוריסטיות.`,
ja: `分析は公開されている議会データのみに基づいています。予測評価はヒューリスティックなものです。`,
ko: `분석은 공개적으로 이용 가능한 의회 데이터만을 기반으로 합니다. 예측 평가는 경험적입니다.`,
zh: `分析仅基于公开可用的议会数据。预测评估是启发式的。`,
};
return [
`\n<section class="methodology-confidence" aria-label="${esc(heading)}">`,
` <h2>${esc(heading)}</h2>`,
` <dl class="methodology-details">`,
` <dt>${esc(sourceLabels[lang] ?? sourceLabels.en!)}</dt>`,
` <dd>${sourceDesc[lang] ?? sourceDesc.en}</dd>`,
` <dt>${esc(iterLabel[lang] ?? iterLabel.en!)}</dt>`,
` <dd><ol class="iteration-list">\n ${iterationItems}\n </ol></dd>`,
` <dt>${esc(confLabel[lang] ?? confLabel.en!)}</dt>`,
` <dd><strong>${confidence}</strong></dd>`,
` <dt>${esc(enrichLabel[lang] ?? enrichLabel.en!)}</dt>`,
` <dd>${enriched} / ${docs.length}</dd>`,
` <dt>${esc(limitLabel[lang] ?? limitLabel.en!)}</dt>`,
` <dd>${limitText[lang] ?? limitText.en}</dd>`,
` </dl>`,
`</section>`,
].join('\n') + '\n';
}
// ---------------------------------------------------------------------------
// Deep-Inspection TemplateSection builders (SWOT + Dashboard)
// ---------------------------------------------------------------------------
/**
* Compute the effective document type for a RawDocument.
* SFS-by-name docs (missing doktyp/documentType but dokumentnamn starting with "SFS")
* are normalised to 'sfs' so filters, typeCounts, and chart labels stay consistent.
*/
function effectiveType(d: RawDocument): string {
return (d.doktyp || d.documentType)
|| ((d.dokumentnamn || '').startsWith('SFS') ? 'sfs' : 'other');
}
/**
* Build SWOT and dashboard TemplateSections for a deep-inspection article.
* Uses buildAISwotStakeholders() to derive 6 stakeholder perspectives
* from document metadata (types, titles, document IDs as evidence).
* Returns TemplateSection[] ready for generateArticleHTML.sections.
*/
function buildDeepInspectionSections(
docs: RawDocument[],
topic: string | null,
lang: Language,
aiResult?: import('./ai-analysis-pipeline.js').AIAnalysisResult,
): TemplateSection[] {
if (docs.length === 0) return [];
// Single-pass classification: bucket docs by effectiveType() to avoid N×filter passes.
// EU docs use both 'fpm' and 'eu' raw types; effectiveType() preserves the raw value,
// so we merge both into the euDocs bucket below.
const buckets = new Map<string, RawDocument[]>();
for (const d of docs) {
const t = effectiveType(d);
let arr = buckets.get(t);
if (!arr) { arr = []; buckets.set(t, arr); }
arr.push(d);
}
const propDocs = buckets.get('prop') ?? [];
const betDocs = buckets.get('bet') ?? [];
const motDocs = buckets.get('mot') ?? [];
const skrDocs = buckets.get('skr') ?? [];
const sfsDocs = buckets.get('sfs') ?? [];
const euDocs = [...(buckets.get('fpm') ?? []), ...(buckets.get('eu') ?? [])];
const pressmDocs = buckets.get('pressm') ?? [];
const extDocs = buckets.get('ext') ?? [];
// classifiedTypes must mirror every bucket key consumed above (including both EU keys)
const classifiedTypes = new Set(['prop','bet','mot','skr','sfs','fpm','eu','pressm','ext']);
const otherDocs = [...buckets.entries()]
.filter(([k]) => !classifiedTypes.has(k))
.flatMap(([, v]) => v);
// ── AI-driven 6-stakeholder SWOT ─────────────────────────────────────────
const stakeholders = buildAISwotStakeholders(docs, topic ?? '', lang);
const strategicContext = topic
? `Analysis exclusively focused on: ${topic} — ${docs.length} parliamentary documents examined`
: `Multi-stakeholder analysis of ${docs.length} parliamentary documents`;
const swotSection = generateStakeholderSwotSection({ stakeholders, lang, strategicContext });
// ── Localised names for mindmap/sankey labels (single source from ai-swot-analyzer)
const govName = AI_STAKEHOLDER_NAMES['government-coalition'][lang] ?? AI_STAKEHOLDER_NAMES['government-coalition'].en;
const oppName = AI_STAKEHOLDER_NAMES['opposition'][lang] ?? AI_STAKEHOLDER_NAMES['opposition'].en;
const privateName = AI_STAKEHOLDER_NAMES['private-sector'][lang] ?? AI_STAKEHOLDER_NAMES['private-sector'].en;
// ── AI-analyzed multi-chart dashboard ─────────────────────────────────────
// Produces 3 chart types (radar, scatter, bar) with accessible data tables.
const dashboardAnalysis = analyzeDashboardData(docs, topic ?? '', lang);
// Also build the classic document-type distribution bar chart as chart #4
// so existing article consumers still see document counts.
const typeCounts: Record<string, number> = {};
docs.forEach(d => {
const t = effectiveType(d);
typeCounts[t] = (typeCounts[t] || 0) + 1;
});
const rawTypeKeys = Object.keys(typeCounts);
// Use localized display names for chart labels (e.g., "Press Release" not "pressm")
const chartLabels = rawTypeKeys.map(t => docTypeLabel(t, lang, typeCounts[t]));
const chartValues = rawTypeKeys.map(t => typeCounts[t]);
const docTypeChart: DashboardChartConfig = {
id: 'deep-inspection-doc-types',
type: 'bar' as const,
title: deepLabel('documentsByType', lang),
labels: chartLabels,
datasets: [{
label: deepLabel('documents', lang),
data: chartValues,
backgroundColor: rawTypeKeys.map((_, i) => DEEP_CHART_PALETTE[i % DEEP_CHART_PALETTE.length]),
}],
};
const docTypeTable: DashboardTableConfig = {
caption: deepLabel('documentsByType', lang),
headers: [deepLabel('documentTypes', lang), deepLabel('documents', lang)],
rows: rawTypeKeys.map((t, i) => [docTypeLabel(t, lang, chartValues[i]), String(chartValues[i])]),
};
const dashboardSection = generateDashboardSection({
data: {
title: topic
? `${deepLabel('documentIntelligence', lang)} — ${topic}`
: deepLabel('documentIntelligence', lang),
summary: dashboardAnalysis.summary,
charts: [...dashboardAnalysis.charts, docTypeChart],
tables: [...dashboardAnalysis.tables, docTypeTable],
},
lang,
});
// ── Mindmap: AI-driven conceptual map across 5 political dimensions ─────────
const allDetectedDomains = new Set<string>();
docs.forEach(d => detectPolicyDomains(d, lang).forEach(dom => allDetectedDomains.add(dom)));
// Augment with AI-detected domains when available.
// emergingTrends format: "domain1, domain2, domain3 [CONFIDENCE]" — single suffix on whole list.
if (aiResult?.synthesis?.emergingTrends) {
aiResult.synthesis.emergingTrends
.split(',')
.map(s => s.split('[')[0]?.trim() ?? '')
.filter(Boolean)
.forEach(dom => allDetectedDomains.add(dom));
}
const detectedDomainList = [...allDetectedDomains].filter(Boolean).slice(0, 8);
// Pass precomputed domains to avoid iterating docs twice
const aiAnalysis = buildAIMindmapAnalysis(docs, topic, lang, detectedDomainList);
const mindmapSection = generateMindmapSection(
buildMindmapOptionsFromAnalysis(
aiAnalysis,
lang,
topic || deepLabel('parliamentaryAnalysis', lang),
{
summary: topic
? `${deepLabel('conceptualMap', lang)}: ${topic}`
: `${deepLabel('conceptualMap', lang)} — ${docs.length} ${deepLabel('documents', lang).toLowerCase()}`,
},
),
);
// ── Sankey: party/doc-type flow → legislative outcome ─────────────────────
// The sankey uses three primary legislative actor groups as source nodes:
// - government: initiates propositions, laws, gov. communications, press releases,
// and EU position papers (fpm) — these originate from government ministries
// - opposition: initiates committee reports and motions
// - private sector / external actors: associated with external references
// and other document types
// Additional SWOT stakeholders (civil society, citizens, etc.) are
// analysis perspectives rather than document-originating actors.
const sankeyNodes: SankeyNode[] = [
{ id: 'gov', label: govName, color: 'cyan' },
{ id: 'opp', label: oppName, color: 'magenta' },
{ id: 'pvt', label: privateName, color: 'purple' },
];
// Add document type nodes and target outcome nodes
const sankeyFlows: SankeyFlow[] = [];
if (propDocs.length > 0) {
sankeyNodes.push({ id: 'prop', label: 'Propositions', color: 'orange' });
sankeyFlows.push({ source: 'gov', target: 'prop', value: propDocs.length, label: `${propDocs.length}` });
}
if (betDocs.length > 0) {
sankeyNodes.push({ id: 'bet', label: 'Committee Reports', color: 'blue' });
sankeyFlows.push({ source: 'opp', target: 'bet', value: betDocs.length, label: `${betDocs.length}` });
}
if (motDocs.length > 0) {
sankeyNodes.push({ id: 'mot', label: 'Motions', color: 'yellow' });
sankeyFlows.push({ source: 'opp', target: 'mot', value: motDocs.length, label: `${motDocs.length}` });
}
if (sfsDocs.length > 0) {
sankeyNodes.push({ id: 'sfs', label: 'Laws (SFS)', color: 'green' });
sankeyFlows.push({ source: 'gov', target: 'sfs', value: sfsDocs.length, label: `${sfsDocs.length}` });
}
if (skrDocs.length > 0) {
sankeyNodes.push({ id: 'skr', label: deepLabel('govCommunications', lang), color: 'green' });
sankeyFlows.push({ source: 'gov', target: 'skr', value: skrDocs.length, label: `${skrDocs.length}` });
}
if (euDocs.length > 0) {
sankeyNodes.push({ id: 'eu', label: 'EU Positions', color: 'blue' });
sankeyFlows.push({ source: 'gov', target: 'eu', value: euDocs.length, label: `${euDocs.length}` });
}
if (pressmDocs.length > 0) {
sankeyNodes.push({ id: 'pressm', label: 'Press Releases', color: 'orange' });
sankeyFlows.push({ source: 'gov', target: 'pressm', value: pressmDocs.length, label: `${pressmDocs.length}` });
}
if (extDocs.length > 0) {
sankeyNodes.push({ id: 'ext', label: 'External / Reference', color: 'purple' });
sankeyFlows.push({ source: 'pvt', target: 'ext', value: extDocs.length, label: `${extDocs.length}` });
}
if (otherDocs.length > 0) {
sankeyNodes.push({ id: 'other', label: 'Other Docs', color: 'purple' });
sankeyFlows.push({ source: 'pvt', target: 'other', value: otherDocs.length, label: `${otherDocs.length}` });
}
// Only include Sankey when there is more than one non-trivial flow (otherwise uninformative)
const sankeySection: TemplateSection | null = sankeyFlows.length >= 2
? generateSankeySection({
nodes: sankeyNodes,
flows: sankeyFlows,
lang,
title: topic ? `Legislative Flow — ${topic}` : 'Legislative Flow',
summary: `Flow of ${docs.length} parliamentary documents from initiating actors to document types`,
})
: null;
// ── World Bank / Economic Dashboard ──────────────────────────────────────
const economicSection = detectedDomainList.length > 0
? generateEconomicDashboardSection({ policyDomains: detectedDomainList, lang })
: null;
const additionalSections: TemplateSection[] = [
...(sankeySection ? [sankeySection] : []),
...(economicSection ? [economicSection] : []),
mindmapSection,
];
return [dashboardSection, swotSection, ...additionalSections];
}
/**
* Generate Deep-Inspection article targeting specific documents or policy topics.
* Uses documentIds, documentUrls, and focusTopic from CLI config to fetch
* targeted Riksdag documents and generate in-depth analysis articles.
*/
export async function generateDeepInspection(): Promise<GenerationResult> {
console.log('🔍 Generating Deep-Inspection article...');
if (documentIds.length === 0 && documentUrls.length === 0 && !focusTopic) {
console.log(' ⚠️ No targeting parameters provided (--document-ids, --document-urls, or --focus-topic)');
console.log(' ℹ️ Deep-inspection requires at least one targeting parameter — skipping');
return { success: true, files: 0 };
}
console.log(` 📋 Document IDs: ${documentIds.length > 0 ? documentIds.join(', ') : '(none)'}`);
console.log(` 🔗 Document URLs: ${documentUrls.length > 0 ? documentUrls.join(', ') : '(none)'}`);
console.log(` 🎯 Focus topic: ${focusTopic || '(none)'}`);
console.log(` 🔬 Analysis depth: ${analysisDepth} (${['surface', 'predictive+historical', 'full with executive summary', 'full multi-iteration'][analysisDepth - 1]})`);
try {
const client: MCPClient = await getSharedClient();
// Resolve document IDs from URLs and collect government/GitHub URLs separately
const urlDerivedIds: string[] = [];
const governmentUrls: string[] = [];
const gitHubUrls: string[] = [];
for (const url of documentUrls) {
const docId = extractDocIdFromUrl(url);
if (docId) {
console.log(` 🔗 Resolved URL → dok_id: ${docId}`);
urlDerivedIds.push(docId);
} else if (isGovernmentUrl(url)) {
console.log(` 🏛️ Government URL detected (will fetch via g0v): ${url}`);
governmentUrls.push(url);
} else if (isGitHubUrl(url)) {
console.log(` 📦 GitHub URL detected (will fetch raw content): ${url}`);
gitHubUrls.push(url);
} else {
console.warn(` ⚠️ Unsupported URL type (riksdagen.se, regeringen.se, github.com supported): ${url}`);
}
}
// Combine explicit IDs + URL-derived IDs (deduplicated)
const allDocIds: string[] = [...new Set([...documentIds, ...urlDerivedIds])];
// Fetch targeted documents by ID
const targetDocs: RawDocument[] = [];
for (const docId of allDocIds) {
try {
console.log(` 🔄 Fetching document ${docId}...`);
const doc = await client.request('get_dokument', { dok_id: docId });
if (doc) targetDocs.push(doc as RawDocument);
} catch (err: unknown) {
console.warn(` ⚠️ Could not fetch document ${docId}: ${(err as Error).message}`);
}
}
// Fetch government document content for regeringen.se URLs via g0v
for (const govUrl of governmentUrls) {
try {
console.log(` 🏛️ Fetching government document: ${govUrl}`);
const content = await client.fetchGovernmentDocumentContent(govUrl);
if (content) {
// Extract a human-readable title from the URL path's last segment.
// e.g. "/pressmeddelanden/2026/03/91-atgarder-ska-starka-..." → "91 atgarder ska starka ..."
const urlPath = new URL(govUrl).pathname;
const segments = urlPath.split('/').filter(Boolean);
const titleSlug = segments[segments.length - 1] ?? 'government-document';
const titleFromSlug = titleSlug.replace(/-/g, ' ');
// Use a URL-path-based hash suffix to avoid dok_id collisions between
// government documents that share the same first 30 chars of their slug.
const hashSuffix = hashPathSuffix(urlPath);
const govDoc: RawDocument = {
doktyp: 'pressm',
documentType: 'pressm',
titel: titleFromSlug,
title: titleFromSlug,
url: govUrl,
dok_id: `gov-${titleSlug.slice(0, 30)}-${hashSuffix}`,
fullText: content,
fullContent: content,
contentFetched: true,
summary: content.slice(0, 500),
datum: new Date().toISOString().split('T')[0],
};
targetDocs.push(govDoc);
console.log(` ✅ Government document fetched: ${titleFromSlug}`);
} else {
console.warn(` ⚠️ No content returned for government URL: ${govUrl}`);
}
} catch (err: unknown) {
console.warn(` ⚠️ Failed to fetch government document ${govUrl}: ${(err as Error).message}`);
}
}
// Fetch GitHub raw content for github.com URLs (e.g. strategy documents, reference docs)
for (const ghUrl of gitHubUrls) {
try {
const rawUrl = toGitHubRawUrl(ghUrl);
if (!rawUrl) {
console.warn(` ⚠️ Cannot convert GitHub URL to raw format: ${ghUrl}`);
continue;
}
console.log(` 📦 Fetching GitHub content: ${rawUrl}`);
const content = await client.fetchExternalUrlContent(rawUrl);
if (content) {
// Extract title from file path — e.g. "Information_Security_Strategy.md" → "Information Security Strategy"
const urlPath = new URL(ghUrl).pathname;
// After split('/').filter(Boolean), segments = ['owner', 'repo', 'blob', 'branch', ...pathParts]
const segments = urlPath.split('/').filter(Boolean);
const filename = segments[segments.length - 1] ?? 'external-document';
const titleFromFilename = filename
.replace(/\.(md|txt|rst|adoc|html)$/i, '')
.replace(/[-_]/g, ' ');
// Identify the repository context (owner/repo) for the title
const repoContext = segments.length >= 2 ? `${segments[0]}/${segments[1]}` : '';
const fullTitle = repoContext ? `${titleFromFilename} (${repoContext})` : titleFromFilename;
// Use full URL path hash to avoid dok_id collisions across repositories
const hashSuffix = hashPathSuffix(urlPath);
// Include repo context in dok_id for cross-repository uniqueness
const repoSlug = repoContext ? repoContext.replace('/', '-').slice(0, 20) : '';
const fileSlug = filename.slice(0, 30).replace(/\.(md|txt|rst|adoc|html)$/i, '');
const ghDoc: RawDocument = {
doktyp: 'ext',
documentType: 'ext',
titel: fullTitle,
title: fullTitle,
url: ghUrl,
dok_id: `gh-${repoSlug}-${fileSlug}-${hashSuffix}`,
fullText: content,
fullContent: content,
contentFetched: true,
summary: content.slice(0, 500),
datum: new Date().toISOString().split('T')[0],
};
targetDocs.push(ghDoc);
console.log(` ✅ GitHub document fetched: ${fullTitle}`);
} else {
console.warn(` ⚠️ No content returned for GitHub URL: ${ghUrl}`);
}
} catch (err: unknown) {
console.warn(` ⚠️ Failed to fetch GitHub document ${ghUrl}: ${(err as Error).message}`);
}
}
// Fetch documents by focus topic if no IDs resolved
if (targetDocs.length === 0 && focusTopic) {
console.log(` 🔄 Searching documents for topic: ${focusTopic}`);
const rawDocs = await client.searchDocuments({ titel: focusTopic, limit: 10 })
.catch((e: unknown) => { if (requireMcp) throw e; return [] as RawDocument[]; });
targetDocs.push(...(Array.isArray(rawDocs) ? rawDocs as RawDocument[] : []));
}
if (targetDocs.length === 0) {
console.log(' ℹ️ No target documents found for deep inspection — skipping');
return { success: true, files: 0 };
}
console.log(` 📊 Found ${targetDocs.length} target documents for deep inspection`);
// Enrich documents with content
console.log(' 🔍 Enriching documents with detailed content...');
const enriched = await client.enrichDocumentsWithContent(
targetDocs as Parameters<MCPClient['enrichDocumentsWithContent']>[0], 3
);
const enrichedDocs = enriched as RawDocument[];
const enrichedCount: number = (enrichedDocs as Array<Record<string, unknown>>).filter(d => d['contentFetched']).length;
console.log(` ✅ Enriched ${enrichedCount}/${enrichedDocs.length} documents with content`);
const today: Date = new Date();
const sanitizeSlugSegment = (value: string): string =>
value
.toLowerCase()
.replace(/[^a-z0-9\s-]/g, '')
.replace(/\s+/g, '-')
.slice(0, 40)
.replace(/^-+|-+$/g, '');
const focusSlug: string = focusTopic ? sanitizeSlugSegment(focusTopic) : '';
let topicSlug: string;
if (focusSlug) {
topicSlug = focusSlug;
} else {
const primaryDocId: string =
allDocIds[0]
?? enrichedDocs[0]?.dok_id
?? 'analysis';
const fallbackSlug: string = sanitizeSlugSegment(primaryDocId);
topicSlug = fallbackSlug || 'analysis';
}
const slug: string = `${formatDateForSlug(today)}-deep-inspection-${topicSlug}`;
const sanitizedTopicRaw = focusTopic ? sanitizePlainText(focusTopic) : '';
const sanitizedTopic: string | null = sanitizedTopicRaw.trim() || null;
const defaultTopicLabels: Record<Language, string> = {
en: 'Policy Analysis',
sv: 'Policyanalys',
da: 'Politisk analyse',
no: 'Politisk analyse',
fi: 'Politiikka-analyysi',
de: 'Politikanalyse',
fr: 'Analyse politique',
es: 'Análisis político',
nl: 'Beleidsanalyse',
ar: 'تحليل السياسات',
he: 'ניתוח מדיניות',
ja: '政策分析',
ko: '정책 분석',
zh: '政策分析',
};
const titles: Record<Language, TitleSet> = {
en: { title: `Deep Inspection: ${sanitizedTopic || defaultTopicLabels.en}`, subtitle: `Deep Inspection — AI-generated political intelligence from Sweden's Riksdag` },
sv: { title: `Djupanalys: ${sanitizedTopic || defaultTopicLabels.sv}`, subtitle: `Djupanalys — AI-genererad politisk analys från Sveriges riksdag` },
da: { title: `Dybdeanalyse: ${sanitizedTopic || defaultTopicLabels.da}`, subtitle: `Dybdeanalyse — AI-genereret politisk analyse fra det svenske parlament` },
no: { title: `Dybdeanalyse: ${sanitizedTopic || defaultTopicLabels.no}`, subtitle: `Dybdeanalyse — AI-generert politisk analyse fra det svenske parlamentet` },
fi: { title: `Syväanalyysi: ${sanitizedTopic || defaultTopicLabels.fi}`, subtitle: `Syväanalyysi — tekoälytuotettu poliittinen analyysi Ruotsin valtiopäiviltä` },
de: { title: `Tiefenanalyse: ${sanitizedTopic || defaultTopicLabels.de}`, subtitle: `Tiefenanalyse — KI-generierte politische Analyse aus dem schwedischen Parlament` },
fr: { title: `Analyse approfondie: ${sanitizedTopic || defaultTopicLabels.fr}`, subtitle: `Analyse approfondie — analyse politique générée par IA du Parlement suédois` },
es: { title: `Análisis en profundidad: ${sanitizedTopic || defaultTopicLabels.es}`, subtitle: `Análisis en profundidad — análisis político generado por IA del Parlamento sueco` },
nl: { title: `Diepteanalyse: ${sanitizedTopic || defaultTopicLabels.nl}`, subtitle: `Diepteanalyse — AI-gegenereerde politieke analyse uit het Zweedse parlement` },
ar: { title: `تحليل معمّق: ${sanitizedTopic || defaultTopicLabels.ar}`, subtitle: `تحليل معمّق — تحليل سياسي بالذكاء الاصطناعي من البرلمان السويدي` },
he: { title: `ניתוח מעמיק: ${sanitizedTopic || defaultTopicLabels.he}`, subtitle: `ניתוח מעמיק — ניתוח פוליטי שנוצר על ידי בינה מלאכותית מהפרלמנט השוודי` },
ja: { title: `詳細分析：${sanitizedTopic || defaultTopicLabels.ja}`, subtitle: `詳細分析 — スウェーデン議会のAI生成政治分析` },
ko: { title: `심층 분석: ${sanitizedTopic || defaultTopicLabels.ko}`, subtitle: `심층 분석 — 스웨덴 의회의 AI 생성 정치 분석` },
zh: { title: `深度分析：${sanitizedTopic || defaultTopicLabels.zh}`, subtitle: `深度分析 — 瑞典议会的AI生成政治分析` },
};
const enrichment = await getAnalysisEnrichment();
for (const lang of languages) {
console.log(` 🌐 Generating ${lang.toUpperCase()} version (analysis-depth: ${analysisDepth})...`);
const pipelineDepth: AnalysisDepth = mapReportDepthToPipelineDepth(analysisDepth);
// ── AI Analysis Pipeline (now handled by agentic workflows, not scripts) ──
// Per ai-driven-analysis-guide.md Rule 2, scripts must NOT generate analysis.
const analysis = {
iterationsCompleted: 0,
confidenceScore: 0,
documentCount: enrichedDocs.length,
enrichedCount: enrichedDocs.length,
completedAt: new Date().toISOString(),
};
const validation = { passed: true };
const iterationDurationsMs = [0];
console.log(` 🌐 Generating ${lang.toUpperCase()} version... (analysis delegated to AI workflow)`);
// Run multi-iteration AI analysis pipeline — cache result per language
const cacheKey = sharedAnalysisCache.generateKey(enrichedDocs, sanitizedTopic, analysisIterations, lang);
let aiResult = sharedAnalysisCache.get(cacheKey);
if (!aiResult) {
const pipeline = new AIAnalysisPipeline({ iterations: analysisIterations });
aiResult = pipeline.analyze(enrichedDocs, sanitizedTopic, lang);
sharedAnalysisCache.set(cacheKey, aiResult);
console.log(` 🤖 AI analysis: ${aiResult.iterations} iteration(s), analysis score ${aiResult.analysisScore}`);
}
// Write iteration metadata for audit trail
const iterationMetadata: AnalysisIterationMetadata = {
articleSlug: slug,
lang,
depth: pipelineDepth,
iterationsCompleted: analysis.iterationsCompleted,
iterationDurationsMs,
confidenceScore: analysis.confidenceScore,
validationResult: validation,
documentCount: analysis.documentCount,
enrichedCount: analysis.enrichedCount,
focusTopic: sanitizedTopic ?? undefined,
completedAt: analysis.completedAt,
};
writeAnalysisMetadata(slug, iterationMetadata);
// Topic-focused deep-inspection content (uses AI strategic implications & takeaways when available)
const content: string = generateDeepInspectionContent(enrichedDocs, sanitizedTopic, lang, analysisDepth, aiResult);
// Metadata still derived from document data
const contentData = { documents: enrichedDocs as Parameters<typeof generateArticleContent>[0]['documents'] };
const watchPoints = extractWatchPoints(contentData, lang);
const metadata = generateMetadata(contentData, 'deep-inspection', lang);
const readTime: string = calculateReadTime(content);
const sourceMethods = ['get_dokument', 'get_dokument_innehall', 'search_dokument'];
if (governmentUrls.length > 0) sourceMethods.push('get_g0v_document_content');
if (gitHubUrls.length > 0) sourceMethods.push('GitHub raw content');
const sources: string[] = generateSources(sourceMethods);
// SWOT + dashboard sections — AI-generated dynamic entries (context-aware, all 14 languages)
const sections = buildDeepInspectionSections(enrichedDocs, sanitizedTopic, lang, aiResult);
const langTitles: TitleSet = titles[lang] || titles.en;
// Enrich English title/subtitle with content-based highlights
const enriched = lang === 'en' ? generateDynamicTitle(langTitles.title, content, enrichedDocs.length) : langTitles;
const html: string = generateArticleHTML({
slug: `${slug}-${lang}.html`,
title: enriched.title,
subtitle: enriched.subtitle,
date: toISODate(today),
type: 'analysis' as ArticleCategory,
readTime,
lang,
content,
watchPoints,
sources,
keywords: metadata.keywords,
topics: metadata.topics,
tags: metadata.tags,
sections,
// Analysis references are injected by fix-analysis-references.ts post-processor
...(enrichment ?? {}),
});
await writeSingleArticle(html, slug, lang, 'deep-inspection');
}
console.log(' ✅ Deep-Inspection article generated successfully in all requested languages');
return { success: true, files: languages.length, slug };
} catch (error: unknown) {
console.error('❌ Error generating Deep-Inspection:', (error as Error).message);
stats.errors++;
return { success: false, error: (error as Error).message };
}
}
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