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* @module news-types/weekly-review/generator
* @description Main generateWeeklyReview function and title generation helper.
* Orchestrates the full data pipeline from MCP API calls to final HTML output.
*
* @author Hack23 AB
* @license Apache-2.0
*/
import { MCPClient } from '../../mcp-client.js';
import {
generateArticleContent,
extractWatchPoints,
generateMetadata,
calculateReadTime,
generateSources,
type RawDocument,
} from '../../data-transformers.js';
import { generateArticleHTML } from '../../article-template.js';
import type { Language } from '../../types/language.js';
import type { ArticleCategory, GeneratedArticle, GenerationResult, MCPCallRecord } from '../../types/article.js';
import { getCurrentRiksmote } from '../motions.js';
import type { GenerationOptions, TitleSet, VotingRecord } from './types.js';
import { REQUIRED_TOOLS } from './types.js';
import { loadCIAContext, enrichWithFullText, attachSpeechesToDocuments, formatDateForSlug } from './data-loader.js';
import {
analyzeCoalitionStress,
calculateWeeklyActivityMetrics,
generateCoalitionDynamicsSection,
generateWeeklyActivitySection,
} from './analysis.js';
import { generateCiaOverviewSection } from '../../data-transformers/content-generators/cia-overview-section.js';
import { generateDynamicTitle, getAnalysisEnrichment } from '../../generate-news-enhanced/helpers.js';
import { buildArticleVisualizationSections } from '../../generate-news-enhanced/generators.js';
export async function generateWeeklyReview(options: GenerationOptions = {}): Promise<GenerationResult> {
const { languages = ['en', 'sv'], lookbackDays = 7, writeArticle = null } = options;
console.log('๐ Generating Weekly Review article (full-document analysis pipeline)...');
const mcpCalls: MCPCallRecord[] = [];
try {
const client = new MCPClient();
const today = new Date();
const startDate = new Date(today);
startDate.setDate(startDate.getDate() - lookbackDays);
const fromStr = formatDateForSlug(startDate);
const toStr = formatDateForSlug(today);
console.log(` ๐ Step 1 โ Searching documents ${fromStr} โ ${toStr}...`);
// โโ Step 1: search_dokument to discover IDs and types โโโโโโโโโโโโโโโโโโ
const allDocs = await client.searchDocuments({
from_date: fromStr,
to_date: toStr,
limit: 200,
});
mcpCalls.push({ tool: 'search_dokument', result: allDocs });
const filterRecent = (docs: unknown[]): RawDocument[] =>
(docs as RawDocument[]).filter(d => {
const date = (d as Record<string, string>).datum ?? (d as Record<string, string>).publicerad ?? '';
return date >= fromStr && date <= toStr;
});
// โโ Step 2: type-specific fetchers for richer metadata (non-fatal) โโโโโ
console.log(' ๐ Step 2 โ Fetching typed metadata (reports, propositions, motions)...');
const rm = getCurrentRiksmote(today);
const [reports, propositions, motions] = await Promise.all([
Promise.resolve()
.then(() => client.fetchCommitteeReports(50, rm) as Promise<unknown[]>)
.catch((err: unknown) => { console.error('Failed to fetch committee reports:', err); return [] as unknown[]; }),
Promise.resolve()
.then(() => client.fetchPropositions(50, rm) as Promise<unknown[]>)
.catch((err: unknown) => { console.error('Failed to fetch propositions:', err); return [] as unknown[]; }),
Promise.resolve()
.then(() => client.fetchMotions(50, rm) as Promise<unknown[]>)
.catch((err: unknown) => { console.error('Failed to fetch motions:', err); return [] as unknown[]; }),
]);
const recentReports = filterRecent(reports);
const recentPropositions = filterRecent(propositions);
const recentMotions = filterRecent(motions);
for (const d of recentReports) { if (!(d as Record<string, string>).doktyp) (d as Record<string, string>).doktyp = 'bet'; }
for (const d of recentPropositions) { if (!(d as Record<string, string>).doktyp) (d as Record<string, string>).doktyp = 'prop'; }
for (const d of recentMotions) { if (!(d as Record<string, string>).doktyp) (d as Record<string, string>).doktyp = 'mot'; }
mcpCalls.push({ tool: 'get_betankanden', result: recentReports });
mcpCalls.push({ tool: 'get_propositioner', result: recentPropositions });
mcpCalls.push({ tool: 'get_motioner', result: recentMotions });
// Merge: typed docs (with dok_id) are highest quality; supplement with
// real documents from general search (those that have both dok_id and doktyp).
const typedDocs = [...recentReports, ...recentPropositions, ...recentMotions];
const typedDocIds = new Set<string>(
typedDocs.flatMap(d => {
const id = (d as Record<string, string>).dok_id;
return id ? [id] : [];
}),
);
const searchExtras = (allDocs as RawDocument[]).filter(d => {
const id = (d as Record<string, string>).dok_id;
const type = (d as Record<string, string>).doktyp;
return id && type && !typedDocIds.has(id);
});
// Use typed + extras when available; fall back to raw search results (test mocks / edge cases)
const documents: RawDocument[] =
typedDocs.length > 0 || searchExtras.length > 0
? [...typedDocs, ...searchExtras]
: (allDocs as RawDocument[]);
console.log(` ๐ Found ${documents.length} documents (${recentReports.length} reports, ${recentPropositions.length} propositions, ${recentMotions.length} motions)`);
if (documents.length === 0) {
console.log(' โน๏ธ No documents found for the past week, skipping');
return { success: true, files: 0, mcpCalls };
}
// โโ Step 3: load each document completely via get_dokument_innehall โโโโ
console.log(' ๐ Step 3 โ Loading full document content...');
await enrichWithFullText(client, documents, mcpCalls, 3);
// โโ Step 4: fetch speeches from the period โโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
console.log(' ๐ Step 4 โ Fetching speeches from the period...');
const speeches = await Promise.resolve()
.then(() => client.searchSpeeches({ rm, from: fromStr, to: toStr, limit: 100 }) as Promise<unknown[]>)
.catch((err: unknown) => { console.error('Failed to fetch speeches:', err); return [] as unknown[]; });
mcpCalls.push({ tool: 'search_anforanden', result: speeches });
attachSpeechesToDocuments(documents, speeches as Array<Record<string, unknown>>);
console.log(` ๐ฃ Found ${speeches.length} speeches`);
// โโ Step 5: load CIA intelligence context from static data โโโโโโโโโโโโโ
console.log(' ๐ Step 5 โ Loading CIA intelligence context...');
const ciaContext = loadCIAContext();
console.log(` ๐ง CIA context: ${ciaContext.partyPerformance.length} parties, coalition stability ${ciaContext.coalitionStability.stabilityScore}/100, motion denial rate ${ciaContext.overallMotionDenialRate}%`);
// โโ Step 6: fetch voting records for coalition stress analysis โโโโโโโโโ
console.log(' ๐ Step 6 โ Fetching voting records for coalition stress analysis...');
let votingRecords: unknown[] = [];
try {
// search_voteringar does not support date params; use rm+limit then filter by datum.
// Derive the riksmรถte(s) from both ends of the date range using the shared
// getCurrentRiksmote utility (Sep boundary: month >= 8 โ new session).
const startRm = getCurrentRiksmote(startDate);
const endRm = getCurrentRiksmote(today);
const rmValues = startRm === endRm ? [startRm] : [startRm, endRm];
const allVotesArrays = await Promise.all(
rmValues.map(rm => client.fetchVotingRecords({ rm, limit: 200 }) as Promise<VotingRecord[]>),
);
const allVotes: VotingRecord[] = allVotesArrays.flat();
// Post-query filter to the weekly window using the datum field.
votingRecords = allVotes.filter(r => {
const d = r.datum;
if (typeof d !== 'string') return false;
// Extract YYYY-MM-DD via regex to handle ISO timestamps and timezone suffixes
// (e.g. '2026-02-10T10:00:00' or '2026-09-05+02:00').
const match = /^\d{4}-\d{2}-\d{2}/.exec(d);
Iif (!match) return false;
const dateStr = match[0];
return dateStr >= fromStr && dateStr <= toStr;
});
} catch (err: unknown) {
console.error('Failed to fetch voting records:', err);
}
mcpCalls.push({ tool: 'search_voteringar', result: votingRecords });
console.log(` ๐ณ Found ${votingRecords.length} voting records`);
// โโ Compute coalition stress and week-over-week metrics โโโโโโโโโโโโโโโโ
const coalitionStress = analyzeCoalitionStress(votingRecords as VotingRecord[], ciaContext);
const weekMetrics = calculateWeeklyActivityMetrics(documents, speeches, votingRecords as VotingRecord[], ciaContext);
console.log(` ๐ Coalition risk: ${coalitionStress.riskIndex.level} (${coalitionStress.riskIndex.score}/100), activity: ${weekMetrics.activityChange}`);
// โโ Generate articles โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
const slug = `${formatDateForSlug(today)}-weekly-review`;
const articles: GeneratedArticle[] = [];
const enrichment = await getAnalysisEnrichment();
for (const lang of languages) {
console.log(` ๐ Generating ${lang.toUpperCase()} version...`);
const content: string = generateArticleContent({ documents, ciaContext }, 'weekly-review', lang);
const coalitionSection: string = generateCoalitionDynamicsSection(coalitionStress, lang);
const weekOverWeekSection: string = generateWeeklyActivitySection(weekMetrics, lang);
const fullContent: string = content + coalitionSection + weekOverWeekSection;
const watchPoints = extractWatchPoints({ documents, ciaContext }, lang);
const metadata = generateMetadata({ documents, ciaContext }, 'weekly-review', lang);
const readTime: string = calculateReadTime(fullContent);
const sources: string[] = generateSources([...REQUIRED_TOOLS]);
const titles: TitleSet = getTitles(lang, documents.length);
// Enrich English title/subtitle with content-based highlights
const enriched = lang === 'en' ? generateDynamicTitle(titles.title, fullContent, documents.length) : titles;
const ciaSection = generateCiaOverviewSection({ cia: ciaContext, lang });
// Build additional visualization sections (SWOT, dashboard, economic)
const extraSections = buildArticleVisualizationSections(documents, null, lang);
const articleDate = today.toISOString().split('T')[0] ?? '';
const html: string = generateArticleHTML({
slug: `${slug}-${lang}.html`,
title: enriched.title,
subtitle: enriched.subtitle,
date: articleDate,
type: 'retrospective' as ArticleCategory,
readTime,
lang,
content: fullContent,
watchPoints,
sources,
keywords: metadata.keywords,
topics: metadata.topics,
tags: metadata.tags,
sections: [ciaSection, ...extraSections],
// Analysis references are injected by fix-analysis-references.ts post-processor
...(enrichment ?? {}),
});
articles.push({
lang,
html,
filename: `${slug}-${lang}.html`,
slug: `${slug}-${lang}`
});
if (writeArticle) {
await writeArticle(html, `${slug}-${lang}.html`);
console.log(` โ
${lang.toUpperCase()} version generated`);
}
}
return {
success: true,
files: languages.length,
slug,
articles,
mcpCalls,
crossReferences: {
event: `${documents.length} documents over ${lookbackDays} days`,
sources: ['search_dokument', 'get_dokument_innehall', 'search_anforanden', 'get_betankanden', 'get_propositioner', 'get_motioner', 'search_voteringar']
}
};
} catch (error: unknown) {
console.error('โ Error generating Weekly Review:', (error as Error).message);
return {
success: false,
error: (error as Error).message,
mcpCalls
};
}
}
/**
* Get language-specific titles
*/
function getTitles(lang: Language, _documentCount: number): TitleSet {
const titles: Record<Language, TitleSet> = {
en: {
title: `Weekly Review: Parliament in Retrospect`,
subtitle: `Weekly Review โ AI-generated political intelligence from Sweden's Riksdag`
},
sv: {
title: `Veckans sammanfattning: Riksdagen i retrospektiv`,
subtitle: `Veckans sammanfattning โ AI-genererad politisk analys frรฅn Sveriges riksdag`
},
da: {
title: `Ugentlig gennemgang: Parlamentet i tilbageblik`,
subtitle: `Ugentlig gennemgang โ AI-genereret politisk analyse fra det svenske parlament`
},
no: {
title: `Ukentlig gjennomgang: Stortinget i retrospekt`,
subtitle: `Ukentlig gjennomgang โ AI-generert politisk analyse fra det svenske parlamentet`
},
fi: {
title: `Viikkokatsaus: Eduskunta jรคlkikรคteen`,
subtitle: `Viikkokatsaus โ tekoรคlytuotettu poliittinen analyysi Ruotsin valtiopรคiviltรค`
},
de: {
title: `Wochenrรผckblick: Parlament in Rรผckschau`,
subtitle: `Wochenrรผckblick โ KI-generierte politische Analyse aus dem schwedischen Parlament`
},
fr: {
title: `Revue hebdomadaire : Le Parlement en rรฉtrospective`,
subtitle: `Revue hebdomadaire โ analyse politique gรฉnรฉrรฉe par IA du Parlement suรฉdois`
},
es: {
title: `Revisiรณn semanal: El Parlamento en retrospectiva`,
subtitle: `Revisiรณn semanal โ anรกlisis polรญtico generado por IA del Parlamento sueco`
},
nl: {
title: `Wekelijkse terugblik: Parlement in retrospectief`,
subtitle: `Wekelijkse terugblik โ AI-gegenereerde politieke analyse uit het Zweedse parlement`
},
ar: {
title: `ุงูู
ุฑุงุฌุนุฉ ุงูุฃุณุจูุนูุฉ: ุงูุจุฑูู
ุงู ูู ุงุณุชุนุฑุงุถ`,
subtitle: `ุงูู
ุฑุงุฌุนุฉ ุงูุฃุณุจูุนูุฉ โ ุชุญููู ุณูุงุณู ุจุงูุฐูุงุก ุงูุงุตุทูุงุนู ู
ู ุงูุจุฑูู
ุงู ุงูุณููุฏู`
},
he: {
title: `ืกืงืืจื ืฉืืืขืืช: ืืคืจืืื ื ืืจืื`,
subtitle: `ืกืงืืจื ืฉืืืขืืช โ ื ืืชืื ืคืืืืื ืฉื ืืฆืจ ืขื ืืื ืืื ื ืืืืืืชืืช ืืืคืจืืื ื ืืฉืืืื`
},
ja: {
title: `้ฑ้ใฌใใฅใผ๏ผ่ญฐไผใฎๆฏใ่ฟใ`,
subtitle: `้ฑ้ใฌใใฅใผ โ ในใฆใงใผใใณ่ญฐไผใฎAI็ๆๆฟๆฒปๅๆ`
},
ko: {
title: `์ฃผ๊ฐ ๋ฆฌ๋ทฐ: ์ํ ํ๊ณ `,
subtitle: `์ฃผ๊ฐ ๋ฆฌ๋ทฐ โ ์ค์จ๋ด ์ํ์ AI ์์ฑ ์ ์น ๋ถ์`
},
zh: {
title: `ๆฏๅจๅ้กพ๏ผ่ฎฎไผๅ้กพ`,
subtitle: `ๆฏๅจๅ้กพ โ ็ๅ
ธ่ฎฎไผ็AI็ๆๆฟๆฒปๅๆ`
}
};
return titles[lang] || titles.en;
}
/**
* Build visualization sections (SWOT, dashboard, economic) for weekly review articles.
*/
/**
* Validate weekly review article structure
*/
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