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* @module ContentGeneration/MonthlyReview
* @category ContentGeneration
*
* @title Monthly Review Article Generator - Retrospective Monthly Analysis
*
* @description
* Generates comprehensive monthly review articles analyzing the past 30 days
* of parliamentary activity using the same 5-step enrichment pipeline as weekly-review:
* 1. search_dokument – find document IDs and types for the period
* 2. get_betankanden / get_propositioner / get_motioner – typed metadata fetchers
* 3. get_dokument_innehall – load every document completely (concurrency 3)
* 4. search_anforanden – fetch speeches from the same period
* 5. CIA static context – secondary historical context only
*
* @author Hack23 AB
* @license Apache-2.0
*/
import { MCPClient } from '../mcp-client.js';
import {
generateArticleContent,
extractWatchPoints,
generateMetadata,
calculateReadTime,
generateSources,
type RawDocument,
type CIAContext,
type MonthlyMetrics,
} from '../data-transformers.js';
import {
enrichWithFullText,
attachSpeechesToDocuments,
loadCIAContext,
} from './weekly-review.js';
import { getCurrentRiksmote } from './motions.js';
import { generateArticleHTML } from '../article-template.js';
import type { Language } from '../types/language.js';
import type { ArticleCategory, GeneratedArticle, GenerationResult, MCPCallRecord } from '../types/article.js';
/**
* Required MCP tools for monthly-review articles
*/
export const REQUIRED_TOOLS: readonly string[] = [
'search_dokument',
'get_dokument_innehall',
'search_anforanden',
'get_betankanden',
'get_propositioner',
'get_motioner',
];
export interface TitleSet {
title: string;
subtitle: string;
}
export interface MonthlyReviewValidationResult {
hasMonthlySummary: boolean;
hasMinimumSources: boolean;
hasRetrospectiveTone: boolean;
hasTrendAnalysis: boolean;
hasPartyRankings: boolean;
hasLegislativeEfficiency: boolean;
hasMonthInNumbers: boolean;
passed: boolean;
}
export interface ArticleInput {
content?: string;
sources?: string[];
[key: string]: unknown;
}
export interface GenerationOptions {
languages?: Language[];
lookbackDays?: number;
writeArticle?: ((html: string, filename: string) => Promise<void | boolean>) | null;
}
/**
* Format date for article slug
*/
export function formatDateForSlug(date: Date = new Date()): string {
return date.toISOString().split('T')[0] ?? '';
}
/**
* Generate Monthly Review article in specified languages using the full enrichment pipeline.
*/
export async function generateMonthlyReview(options: GenerationOptions = {}): Promise<GenerationResult> {
const { languages = ['en', 'sv'], lookbackDays = 30, writeArticle = null } = options;
console.log('📊 Generating Monthly Review article...');
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);
// Step 1: search_dokument for document IDs and types
console.log(` 🔄 Step 1 — Searching documents ${fromStr} → ${toStr}...`);
const allDocs = await client.searchDocuments({
from_date: fromStr,
to_date: toStr,
limit: 50,
}) as RawDocument[];
mcpCalls.push({ tool: 'search_dokument', result: allDocs });
// Step 2: typed metadata fetchers (robust: errors → empty [])
console.log(' 🔄 Step 2 — Fetching typed metadata (reports, propositions, motions)...');
const rm = getCurrentRiksmote(today);
const [recentReports, recentPropositions, recentMotions] = await Promise.all([
Promise.resolve().then(() => client.fetchCommitteeReports(30, rm))
.catch((err: unknown) => { console.error('Failed to fetch committee reports:', err); return [] as unknown[]; }),
Promise.resolve().then(() => client.fetchPropositions(20, rm))
.catch((err: unknown) => { console.error('Failed to fetch propositions:', err); return [] as unknown[]; }),
Promise.resolve().then(() => client.fetchMotions(20, rm))
.catch((err: unknown) => { console.error('Failed to fetch motions:', err); return [] as unknown[]; }),
]);
// Record MCP calls for traceability
mcpCalls.push({ tool: 'get_betankanden', result: recentReports });
mcpCalls.push({ tool: 'get_propositioner', result: recentPropositions });
mcpCalls.push({ tool: 'get_motioner', result: recentMotions });
// Filter typed results to the lookback window so only in-period documents are merged
const filterByDate = (docs: unknown[]): unknown[] =>
docs.filter(d => {
const rec = d as Record<string, string>;
const docDate: string = rec['datum'] ?? rec['date'] ?? '';
if (!docDate) return true; // no date field — keep (can't filter)
return docDate >= fromStr && docDate <= toStr;
});
const filteredReports = filterByDate(recentReports as unknown[]);
const filteredPropositions = filterByDate(recentPropositions as unknown[]);
const filteredMotions = filterByDate(recentMotions as unknown[]);
// Merge: typed docs first (have dok_id), then search extras
const typedDocs = [...filteredReports, ...filteredPropositions, ...filteredMotions] as RawDocument[];
const typedDocIds = new Set<string>(
typedDocs.flatMap(d => {
const id = (d as Record<string, string>).dok_id;
return id ? [id] : [];
}),
);
const searchExtras = allDocs.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);
});
const documents: RawDocument[] = typedDocs.length > 0
? [...typedDocs, ...searchExtras]
: allDocs;
// Tag doktyp defaults where missing
for (const d of documents) {
const rec = d as Record<string, unknown>;
if (!rec['doktyp']) {
Iif (filteredReports.includes(d as unknown)) rec['doktyp'] = I'bet';
else if (filteredPropositions.includes(d as unknown)) rec['doktyp'] = I'prop';
else if (filteredMotions.includes(d as unknown)) rec['doktyp'] = 'mot';
}
}
console.log(` 📊 Found ${documents.length} documents (${filteredReports.length} reports, ${filteredPropositions.length} propositions, ${filteredMotions.length} motions within lookback window)`);
if (documents.length === 0) {
console.log(' ℹ️ No documents found for the past month, skipping');
return { success: true, files: 0, mcpCalls };
}
// Step 3: enrich each document with full text
console.log(' 🔄 Step 3 — Loading full document content...');
await enrichWithFullText(client, documents, mcpCalls, 3);
// Step 4: fetch speeches from the period
console.log(' 🔄 Step 4 — Fetching speeches from the period...');
const rawSpeeches = await Promise.resolve()
.then(() => client.searchSpeeches({ from: fromStr, to: toStr, limit: 100 }))
.catch((err: unknown) => { console.error('Failed to fetch speeches:', err); return [] as unknown[]; });
const speeches: Array<Record<string, unknown>> = Array.isArray(rawSpeeches) ? rawSpeeches as Array<Record<string, unknown>> : [];
mcpCalls.push({ tool: 'search_anforanden', result: speeches });
console.log(` 🗣 Found ${speeches.length} speeches`);
attachSpeechesToDocuments(documents, speeches);
// Step 5: CIA intelligence context (secondary, historical)
console.log(' 🔄 Step 5 — Loading CIA intelligence context...');
const ciaContext: CIAContext = loadCIAContext();
console.log(` 🧠 CIA context: ${ciaContext.partyPerformance.length} parties, coalition stability ${ciaContext.coalitionStability.stabilityScore}/100, motion denial rate ${ciaContext.overallMotionDenialRate}%`);
// Step 6: Fetch previous 2 months for multi-month trend analysis
console.log(' 🔄 Step 6 — Fetching previous months for trend analysis...');
const prevStart = new Date(startDate);
prevStart.setDate(prevStart.getDate() - lookbackDays);
const prev2Start = new Date(prevStart);
prev2Start.setDate(prev2Start.getDate() - lookbackDays);
const [prevMonthDocs, twoMonthsDocs] = await Promise.all([
// Use a higher per-period cap to better approximate total volume for trend metrics; full-text enrichment is not needed here
client.searchDocuments({ from_date: formatDateForSlug(prevStart), to_date: fromStr, limit: 1000 })
.catch((error) => {
console.error(
'MonthlyReview Step 6 — search_dokument failed for previous month trend window',
{ from_date: formatDateForSlug(prevStart), to_date: fromStr, limit: 1000 },
error,
);
return [] as RawDocument[];
}),
client.searchDocuments({ from_date: formatDateForSlug(prev2Start), to_date: formatDateForSlug(prevStart), limit: 1000 })
.catch((error) => {
console.error(
'MonthlyReview Step 6 — search_dokument failed for two-months-ago trend window',
{ from_date: formatDateForSlug(prev2Start), to_date: formatDateForSlug(prevStart), limit: 1000 },
error,
);
return [] as RawDocument[];
}),
]);
mcpCalls.push({ tool: 'search_dokument', result: prevMonthDocs });
mcpCalls.push({ tool: 'search_dokument', result: twoMonthsDocs });
// Compute MonthlyMetrics from current-month data
const reportCount = documents.filter(d => (d as Record<string, unknown>).doktyp === 'bet').length;
const propositionCount = documents.filter(d => (d as Record<string, unknown>).doktyp === 'prop').length;
const motionCount = documents.filter(d => (d as Record<string, unknown>).doktyp === 'mot').length;
// Party rankings: aggregate motions and speeches by party
// Filter party keys: trim whitespace and drop unknown/empty sentinels (returns null to exclude)
// Note: distinct from the normalizePartyKey helper in helpers.ts which maps unknowns to 'other'
const filterPartyKey = (raw: unknown): string | null => {
const value = String(raw ?? '').trim();
Iif (!value) return null;
const lower = value.toLowerCase();
Iif (lower === 'unknown' || lower === 'okänd') return null;
return value;
};
const partyMotions: Record<string, number> = {};
const partySpeeches: Record<string, number> = {};
for (const doc of documents) {
const rec = doc as Record<string, unknown>;
if (rec['doktyp'] === 'mot') {
const p = filterPartyKey(rec['parti']);
Eif (p !== null) partyMotions[p] = (partyMotions[p] ?? 0) + 1;
}
}
for (const speech of speeches) {
const p = filterPartyKey(speech['parti']);
Eif (p !== null) partySpeeches[p] = (partySpeeches[p] ?? 0) + 1;
}
const allParties = new Set([...Object.keys(partyMotions), ...Object.keys(partySpeeches)]);
const partyRankings = Array.from(allParties)
.map(party => ({
party,
motionCount: partyMotions[party] ?? 0,
speechCount: partySpeeches[party] ?? 0,
}))
.sort((a, b) => (b.motionCount + b.speechCount) - (a.motionCount + a.speechCount));
const monthlyMetrics: MonthlyMetrics = {
totalDocuments: documents.length,
reportCount,
propositionCount,
motionCount,
speechCount: speeches.length,
previousMonthDocCount: Array.isArray(prevMonthDocs) ? prevMonthDocs.length : 0,
twoMonthsAgoDocCount: Array.isArray(twoMonthsDocs) ? twoMonthsDocs.length : 0,
partyRankings,
legislativeEfficiencyRate: propositionCount > 0 ? reportCount / propositionCount : 0,
};
console.log(` 📈 Monthly metrics: ${documents.length} docs this month, ${monthlyMetrics.previousMonthDocCount} last month, ${partyRankings.length} active parties`);
const slug = `${formatDateForSlug(today)}-monthly-review`;
const articles: GeneratedArticle[] = [];
for (const lang of languages) {
console.log(` 🌐 Generating ${lang.toUpperCase()} version...`);
const content: string = generateArticleContent(
{ documents, reports: recentReports as RawDocument[], propositions: recentPropositions as RawDocument[], motions: recentMotions as RawDocument[], ciaContext, monthlyMetrics },
'monthly-review',
lang,
);
const watchPoints = extractWatchPoints({ documents }, lang);
const metadata = generateMetadata({ documents }, 'monthly-review', lang);
const readTime: string = calculateReadTime(content);
const sources: string[] = generateSources([
'search_dokument', 'get_dokument_innehall', 'search_anforanden',
'get_betankanden', 'get_propositioner', 'get_motioner',
]);
const titles: TitleSet = getTitles(lang, documents.length);
const html: string = generateArticleHTML({
slug: `${slug}-${lang}.html`,
title: titles.title,
subtitle: titles.subtitle,
date: today.toISOString().split('T')[0] ?? '',
type: 'retrospective' as ArticleCategory,
readTime,
lang,
content,
watchPoints,
sources,
keywords: metadata.keywords,
topics: metadata.topics,
tags: metadata.tags,
});
articles.push({
lang,
html,
filename: `${slug}-${lang}.html`,
slug: `${slug}-${lang}`,
});
if (writeArticle) {
await writeArticle(html, `${slug}-${lang}.html`);
console.log(` ✅ ${lang.toUpperCase()} version generated`);
}
}
return {
success: true,
files: languages.length,
slug,
articles,
mcpCalls,
crossReferences: {
event: `${documents.length} documents over ${lookbackDays} days`,
sources: ['search_dokument', 'get_dokument_innehall', 'search_anforanden', 'get_betankanden', 'get_propositioner', 'get_motioner'],
}
};
} catch (error: unknown) {
console.error('❌ Error generating Monthly 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: `Monthly Review: Parliament in Perspective`,
subtitle: `Comprehensive analysis of ${documentCount} developments from the past month in Swedish politics`
},
sv: {
title: `Månadskrönika: Riksdagen i perspektiv`,
subtitle: `Omfattande analys av ${documentCount} händelser från den gångna månaden`
},
da: {
title: `Månedsgennemgang: Parlamentet i perspektiv`,
subtitle: `Omfattende analyse af ${documentCount} begivenheder fra den forgangne måned`
},
no: {
title: `Månedsgjennomgang: Stortinget i perspektiv`,
subtitle: `Omfattende analyse av ${documentCount} hendelser fra den siste måneden`
},
fi: {
title: `Kuukausikatsaus: Eduskunta perspektiivissä`,
subtitle: `Kattava analyysi ${documentCount} tapahtumasta viime kuukaudelta`
},
de: {
title: `Monatsrückblick: Parlament in Perspektive`,
subtitle: `Umfassende Analyse von ${documentCount} Entwicklungen des vergangenen Monats`
},
fr: {
title: `Revue mensuelle : Le Parlement en perspective`,
subtitle: `Analyse complète de ${documentCount} développements du mois écoulé`
},
es: {
title: `Revisión mensual: El Parlamento en perspectiva`,
subtitle: `Análisis integral de ${documentCount} desarrollos del mes pasado`
},
nl: {
title: `Maandelijkse terugblik: Parlement in perspectief`,
subtitle: `Uitgebreide analyse van ${documentCount} ontwikkelingen van de afgelopen maand`
},
ar: {
title: `المراجعة الشهرية: البرلمان في منظور`,
subtitle: `تحليل شامل لـ ${documentCount} تطور من الشهر الماضي`
},
he: {
title: `סקירה חודשית: הפרלמנט בפרספקטיבה`,
subtitle: `ניתוח מקיף של ${documentCount} התפתחויות מהחודש שעבר`
},
ja: {
title: `月間レビュー：議会を展望する`,
subtitle: `先月の${documentCount}件の動向の包括的分析`
},
ko: {
title: `월간 리뷰: 의회 전망`,
subtitle: `지난 달 ${documentCount}건의 동향에 대한 종합 분석`
},
zh: {
title: `月度回顾：议会纵览`,
subtitle: `过去一个月${documentCount}项发展的综合分析`
}
};
return titles[lang] || titles.en;
}
/**
* Validate monthly review article structure
*/
export function validateMonthlyReview(article: ArticleInput): MonthlyReviewValidationResult {
const hasMonthlySummary = checkMonthlySummary(article);
const hasMinimumSources = countSources(article) >= 3;
const hasRetrospectiveTone = checkRetrospectiveTone(article);
const hasTrendAnalysis = checkTrendAnalysis(article);
const hasPartyRankings = checkPartyRankings(article);
const hasLegislativeEfficiency = checkLegislativeEfficiency(article);
const hasMonthInNumbers = checkMonthInNumbers(article);
return {
hasMonthlySummary,
hasMinimumSources,
hasRetrospectiveTone,
hasTrendAnalysis,
hasPartyRankings,
hasLegislativeEfficiency,
hasMonthInNumbers,
passed:
hasMonthlySummary &&
hasMinimumSources &&
hasRetrospectiveTone &&
hasTrendAnalysis &&
hasPartyRankings &&
hasLegislativeEfficiency &&
hasMonthInNumbers
};
}
function checkMonthlySummary(article: ArticleInput): boolean {
Iif (!article || !article.content) return false;
return article.content.toLowerCase().includes('month') ||
article.content.toLowerCase().includes('summary') ||
article.content.toLowerCase().includes('review') ||
article.content.toLowerCase().includes('retrospective');
}
function countSources(article: ArticleInput): number {
Iif (!article || !article.sources) return 0;
return Array.isArray(article.sources) ? article.sources.length : 0;
}
function checkRetrospectiveTone(article: ArticleInput): boolean {
Iif (!article || !article.content) return false;
const retroKeywords = ['concluded', 'passed', 'voted', 'decided', 'approved', 'rejected', 'completed', 'achieved'];
return retroKeywords.some(keyword =>
(article.content as string).toLowerCase().includes(keyword)
);
}
function checkTrendAnalysis(article: ArticleInput): boolean {
Iif (!article || !article.content) return false;
const trendKeywords = ['trend', 'pattern', 'increase', 'decrease', 'shift', 'trajectory', 'momentum'];
return trendKeywords.some(keyword =>
(article.content as string).toLowerCase().includes(keyword)
);
}
function checkPartyRankings(article: ArticleInput): boolean {
Iif (!article || !article.content) return false;
return article.content.includes('Party Performance Rankings') ||
article.content.includes('Partiernas prestationsrankning') ||
article.content.includes('🏆');
}
function checkLegislativeEfficiency(article: ArticleInput): boolean {
Iif (!article || !article.content) return false;
return article.content.includes('Legislative Efficiency') ||
article.content.includes('Lagstiftningseffektivitet') ||
article.content.includes('⚖️');
}
function checkMonthInNumbers(article: ArticleInput): boolean {
Iif (!article || !article.content) return false;
return article.content.includes('Month in Numbers') ||
article.content.includes('Månaden i siffror') ||
article.content.includes('📊');
}
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