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* @module ContentGeneration/WeeklyReview
* @category ContentGeneration
*
* @title Weekly Review Article Generator - Deep Intelligence Analysis
*
* @description
* Generates retrospective weekly review articles with full-document analysis.
* Pipeline: search_dokument (IDs) → get_dokument_innehall per doc (full text)
* → search_anforanden (speeches) → CIA static data → deep intelligence analysis.
*
* **DATA PIPELINE:**
* 1. search_dokument – find document IDs and types for the period
* 2. get_dokument_innehall – load every document completely (concurrency 3)
* 3. search_anforanden – fetch speeches from the same period
* 4. get_betankanden / get_propositioner / get_motioner – typed metadata
* 5. CIA static context – party performance, motion success rates, coalition data
*
* @author Hack23 AB
* @license Apache-2.0
*/
import { readFileSync, existsSync } from 'fs';
import { join, dirname } from 'path';
import { fileURLToPath } from 'url';
import { MCPClient } from '../mcp-client.js';
import {
generateArticleContent,
extractWatchPoints,
generateMetadata,
calculateReadTime,
generateSources,
isPersonProfileText,
type RawDocument,
type CIAContext
} from '../data-transformers.js';
import { generateArticleHTML } from '../article-template.js';
import { escapeHtml } from '../html-utils.js';
import {
calculateCoalitionRiskIndex,
detectAnomalousPatterns,
generateTrendComparison,
} from '../data-transformers/risk-analysis.js';
import type {
CoalitionRiskIndex,
AnomalyFlag,
TrendComparison,
} from '../data-transformers/risk-analysis.js';
import type { Language } from '../types/language.js';
import type { ArticleCategory, GeneratedArticle, GenerationResult, MCPCallRecord } from '../types/article.js';
import { getCurrentRiksmote } from './motions.js';
/** Swedish government coalition parties (current Tidö coalition) */
const GOVERNMENT_PARTIES = new Set(['M', 'KD', 'L', 'SD']);
/** Swedish opposition parties */
const OPPOSITION_PARTIES = new Set(['S', 'V', 'MP', 'C']);
/** Allowlist of severity values for anomaly CSS class injection */
const VALID_SEVERITIES = new Set(['low', 'medium', 'high', 'critical']);
/**
* Required MCP tools for weekly-review articles
*/
export const REQUIRED_TOOLS: readonly string[] = [
'search_dokument',
'get_dokument_innehall',
'search_anforanden',
'get_betankanden',
'get_propositioner',
'get_motioner',
'search_voteringar',
];
export interface TitleSet {
title: string;
subtitle: string;
}
export interface WeeklyReviewValidationResult {
hasWeeklySummary: boolean;
hasMinimumSources: boolean;
hasRetrospectiveTone: boolean;
hasKeyOutcomes: 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;
}
/** Shape of a single voting record returned by search_voteringar */
export interface VotingRecord {
parti?: string;
/** Ja | Nej | Avstår | Frånvarande */
rost?: string;
bet?: string;
punkt?: string;
/** ISO date string (YYYY-MM-DD) used for post-query date filtering */
datum?: string;
[key: string]: unknown;
}
/** Coalition stress analysis result derived from voting records */
export interface CoalitionStressResult {
/** Number of vote points where the government bloc position (Ja/Nej) matched the chamber majority */
governmentWins: number;
/** Number of vote points where the government bloc position did not match the chamber majority */
governmentLosses: number;
/** Vote points where opposition parties voted with the government */
crossPartyVotes: number;
/** Vote points with internal government-bloc defections */
defections: number;
/** Composite risk index from risk-analysis.ts */
riskIndex: CoalitionRiskIndex;
/** Detected anomaly flags from risk-analysis.ts */
anomalies: AnomalyFlag[];
/** Total distinct vote-points analysed */
totalVotes: number;
}
/** Weekly activity metrics — current-week counts with CIA coalition-stability trend direction (not a prior-week comparison) */
export interface WeeklyActivityMetrics {
currentDocuments: number;
currentSpeeches: number;
currentVotes: number;
trendComparison: TrendComparison;
activityChange: 'increasing' | 'stable' | 'declining';
}
/**
* Format date for article slug
*/
export function formatDateForSlug(date: Date = new Date()): string {
return date.toISOString().split('T')[0] ?? '';
}
/**
* Resolve the repo data directory path.
* Works both in Node.js ESM and from compiled paths.
*/
export function repoDataDir(): string {
try {
const __dirname = dirname(fileURLToPath(import.meta.url));
// From scripts/news-types/ → up two levels to repo root → data/
return join(__dirname, '..', '..', 'data');
} catch {
return join(process.cwd(), 'data');
}
}
/**
* Resolve the cia-data directory path (repo root/cia-data).
*/
function resolveCIADataDir(): string {
try {
const __dirname = dirname(fileURLToPath(import.meta.url));
// From scripts/news-types/ → up two levels to repo root → cia-data/
return join(__dirname, '..', '..', 'cia-data');
} catch {
return join(process.cwd(), 'cia-data');
}
}
/**
* Parse a single CSV line handling double-quoted fields.
*/
function parseCsvLine(line: string): string[] {
const result: string[] = [];
let current = '';
let inQuotes = false;
for (let i = 0; i < line.length; i++) {
const char = line[i];
if (char === '"') {
inQuotes = !inQuotes;
} else if (char === ',' && !inQuotes) {
result.push(current);
current = '';
} else {
current += char;
}
}
result.push(current);
return result;
}
/**
* Parse a CSV file into an array of row objects keyed by header names.
* Returns an empty array if the file does not exist or cannot be parsed.
*/
function parseCsvFile(filePath: string): Array<Record<string, string>> {
Iif (!existsSync(filePath)) {
console.warn(`CIA data file not found: ${filePath}`);
return [];
}
try {
const text = readFileSync(filePath, 'utf-8');
const lines = text.trim().split('\n');
Iif (lines.length < 2) return [];
const headers = parseCsvLine(lines[0]).map(h => h.trim());
return lines.slice(1)
.filter(line => line.trim())
.map(line => {
const vals = parseCsvLine(line);
const row: Record<string, string> = {};
headers.forEach((h, i) => { row[h] = (vals[i] ?? '').trim(); });
return row;
});
} catch (err) {
console.error(`Failed to parse CSV ${filePath}:`, err);
return [];
}
}
/** Current Riksdag parties (2022 election onwards). */
const RIKSDAG_PARTIES = new Set(['M', 'SD', 'KD', 'L', 'C', 'S', 'V', 'MP']);
/**
* Load CIA intelligence context from real CSV files in cia-data/.
* Sources:
* • cia-data/party/view_party_performance_metrics_sample.csv – win rates, documents, rebel rate
* • cia-data/view_riksdagen_party_summary_sample.csv – current seat counts
* • cia-data/party/distribution_coalition_alignment.csv – inter-party alignment
* • cia-data/view_riksdagen_committee_decisions.csv – committee decision outcomes
*
* Returns a populated CIAContext or a minimal fallback when files are missing.
*/
export function loadCIAContext(): CIAContext {
const ciaDir = resolveCIADataDir();
// ── 1. Seat counts from view_riksdagen_party_summary_sample.csv ──────────
const seatMap = new Map<string, number>();
const partySummaryRows = parseCsvFile(join(ciaDir, 'view_riksdagen_party_summary_sample.csv'));
for (const row of partySummaryRows) {
const party = row['party']?.trim();
if (party) seatMap.set(party, parseInt(row['total_active_parliament'] ?? '0', 10) || 0);
}
// ── 2. Party performance from view_party_performance_metrics_sample.csv ──
const partyPerformance: CIAContext['partyPerformance'] = [];
const partyMetricsRows = parseCsvFile(join(ciaDir, 'party', 'view_party_performance_metrics_sample.csv'));
for (const row of partyMetricsRows) {
const id = row['party']?.trim() ?? '';
if (!RIKSDAG_PARTIES.has(id)) continue;
const avgWinRate = parseFloat(row['avg_win_rate'] ?? '0') || 0;
const avgRebelRate = parseFloat(row['avg_rebel_rate'] ?? '0') || 0;
const docsLastYear = parseInt(row['documents_last_year'] ?? '0', 10) || 0;
const ministers = parseInt(row['current_ministers'] ?? '0', 10) || 0;
const perfLevel = row['performance_level']?.trim() ?? '';
partyPerformance.push({
id,
partyName: row['party_name']?.trim() ?? id,
metrics: {
seats: seatMap.get(id) ?? 0,
// avg_win_rate is 0-100 percentage (e.g. M=86.49, S=43.40)
successRate: avgWinRate,
motionsSubmitted: docsLastYear,
motionsPassed: Math.round(avgWinRate * docsLastYear / 100),
// avg_rebel_rate is a 0-1 decimal ratio (e.g. S=0.06 → 6% rebel rate)
cohesionScore: Math.round((1 - avgRebelRate) * 100),
},
trends: {
supportTrend: ministers > 0 ? 'stable' : (avgWinRate < 50 ? 'declining' : 'stable'),
activityTrend: perfLevel === 'EXCELLENT' ? 'increasing' : perfLevel === 'BELOW_AVERAGE' ? 'declining' : 'stable',
},
});
}
// ── 3. Coalition stability from distribution_coalition_alignment.csv ─────
const coalignRows = parseCsvFile(join(ciaDir, 'party', 'distribution_coalition_alignment.csv'));
// Government bloc: M + KD + L + SD (SD provides confidence-and-supply support)
const GOV_PARTIES = new Set(['M', 'KD', 'L', 'SD']);
const govSeats = partyPerformance
.filter(p => GOV_PARTIES.has(p.id))
.reduce((s, p) => s + p.metrics.seats, 0);
const totalSeats = 349;
const majorityNeeded = Math.floor(totalSeats / 2) + 1; // 175
const majorityMargin = govSeats - majorityNeeded;
// Average alignment among the three formal government parties (M, KD, L)
const coreGovPairs = new Set(['M-KD', 'M-L', 'KD-L', 'KD-M', 'L-M', 'L-KD']);
let alignmentSum = 0; let alignmentCount = 0;
for (const row of coalignRows) {
const pair = `${row['party1']?.trim() ?? ''}-${row['party2']?.trim() ?? ''}`;
if (coreGovPairs.has(pair)) {
alignmentSum += parseFloat(row['alignment_rate'] ?? '0') || 0;
alignmentCount++;
}
}
const stabilityScore = alignmentCount > 0
? Math.round((alignmentSum / alignmentCount) * 100)
: 75;
const riskLevel = majorityMargin <= 0 ? 'high' : majorityMargin <= 2 ? 'moderate' : 'low';
const coalitionStability: CIAContext['coalitionStability'] = {
stabilityScore,
riskLevel,
// Base 20% defection probability, reduced 3% per seat of margin, minimum 5%
defectionProbability: Math.max(5, Math.round(20 - majorityMargin * 3)),
majorityMargin: Math.max(0, majorityMargin),
};
// ── 4. Voting patterns from coalition alignment (top 5 party pairs) ───────
const votingPatterns: CIAContext['votingPatterns'] = {
keyIssues: coalignRows.slice(0, 5).map(row => ({
topic: `${row['party1']?.trim() ?? ''}-${row['party2']?.trim() ?? ''} alignment`,
coalitionAlignment: Math.round((parseFloat(row['alignment_rate'] ?? '0') || 0) * 100),
oppositionAlignment: Math.round((1 - (parseFloat(row['alignment_rate'] ?? '0') || 0)) * 100),
crossPartyVotes: parseInt(row['aligned_votes'] ?? '0', 10) || 0,
})),
};
// ── 5. Motion denial rate from committee decision outcomes ────────────────
let overallMotionDenialRate = 96; // historical baseline from CIA data
const decisionsRows = parseCsvFile(join(ciaDir, 'view_riksdagen_committee_decisions.csv'));
Eif (decisionsRows.length > 0) {
const committeeWins = decisionsRows.filter(r =>
r['winner']?.trim().toLowerCase() === 'utskottet'
).length;
overallMotionDenialRate = Math.round((committeeWins / decisionsRows.length) * 100);
}
console.log(
` 📊 CIA CSV context: ${partyPerformance.length} parties, ` +
`gov seats ${govSeats}/${totalSeats} (margin ${majorityMargin}), ` +
`stability ${stabilityScore}/100, denial rate ${overallMotionDenialRate}%`
);
return { partyPerformance, coalitionStability, votingPatterns, overallMotionDenialRate };
}
/**
* Enrich a flat list of documents with full text via get_dokument_innehall.
* Mutates each document in place; never throws — failures are logged and skipped.
*/
export async function enrichWithFullText(
client: MCPClient,
documents: RawDocument[],
mcpCalls: MCPCallRecord[],
concurrency = 3,
): Promise<void> {
console.log(` 📖 Enriching ${documents.length} documents with full text (concurrency ${concurrency})...`);
let enriched = 0;
for (let i = 0; i < documents.length; i += concurrency) {
const batch = documents.slice(i, i + concurrency);
await Promise.allSettled(batch.map(async (doc) => {
const dokId = (doc as Record<string, string>).dok_id
?? (doc as Record<string, string>).dokumentnamn
?? (doc as Record<string, string>).id;
Iif (!dokId) return;
try {
const details = await client.fetchDocumentDetails(dokId, true);
mcpCalls.push({ tool: 'get_dokument_innehall', result: details });
// Merge full text fields into document.
// NOTE: details['text'] from get_dokument_innehall is a raw database metadata
// dump (IDs, dates, URLs), NOT human-readable prose — do not use as fullText.
// Also: some documents return politician profile text (MP status like
// "Tjänstgörande riksdagsledamot..." or "Avliden YYYY-MM-DD...") in their
// notis/summary/fullText fields — discard these to prevent them from
// appearing as article content.
const sanitize = (s: unknown): string => {
const str = (s as string) ?? '';
return isPersonProfileText(str) ? '' : str;
};
const d = doc as Record<string, unknown>;
d['fullText'] = sanitize(details['fullText'])
|| sanitize(details['summary'])
|| sanitize(details['notis'])
|| '';
d['fullContent'] = (details['html'] as string) ?? '';
if (!d['summary'] && details['summary']) d['summary'] = sanitize(details['summary']);
Iif (!d['notis'] && details['notis']) d['notis'] = sanitize(details['notis']);
d['contentFetched'] = true;
enriched++;
} catch (err: unknown) {
console.error(` ⚠ Failed to fetch full text for ${dokId}:`, (err as Error).message);
}
}));
// Small delay between batches to avoid rate limiting
if (i + concurrency < documents.length) {
await new Promise<void>(r => setTimeout(r, 300));
}
}
console.log(` ✅ Enriched ${enriched}/${documents.length} documents with full text`);
}
/**
* Attach related speeches to documents that share the same dokId.
*/
export function attachSpeechesToDocuments(
documents: RawDocument[],
speeches: Array<Record<string, unknown>>,
): void {
if (speeches.length === 0) return;
// Build a loose index: dok_id → speeches
const speechIndex = new Map<string, Array<{ talare?: string; parti?: string; text?: string; anforande_nummer?: string }>>();
for (const s of speeches) {
const ref = String(s['intressent_id'] ?? s['dok_id'] ?? s['rel_dok_id'] ?? '');
Eif (!ref) continue;
if (!speechIndex.has(ref)) speechIndex.set(ref, []);
speechIndex.get(ref)!.push({
talare: s['talare'] as string | undefined,
parti: s['parti'] as string | undefined,
text: (s['anforande_text'] as string | undefined)?.slice(0, 300),
anforande_nummer: s['anforande_nummer'] as string | undefined,
});
}
for (const doc of documents) {
const dokId = (doc as Record<string, string>).dok_id ?? '';
const related = speechIndex.get(dokId);
Iif (related && related.length > 0) {
(doc as Record<string, unknown>).speeches = related;
}
}
}
/**
* Normalize CIAContext so defectionProbability is in [0, 1].
*
* risk-analysis.ts multiplies it by 100, so out-of-range values can
* explode scores. Expected input formats:
* - (0, 1] — already a proper probability fraction; kept as-is.
* Note: exactly 1.0 is treated as 100% (not as 1% whole-percent).
* - (1, ∞) — treated as a whole-percent (loadCIAContext returns min 5,
* e.g. 50 means 50% → normalized to 0.5); clamped to 1.
* - Non-finite or ≤ 0 — coerced to 0 (no defection risk).
*/
function normalizedCIAContext(ctx: CIAContext): CIAContext {
const defProb = ctx.coalitionStability?.defectionProbability;
Iif (typeof defProb !== 'number') return ctx;
let normalized: number;
if (!Number.isFinite(defProb) || defProb <= 0) {
// Non-finite or non-positive: no defection risk.
normalized = 0;
} else if (defProb <= 1) {
// Already a fraction in (0, 1]: keep as-is (1.0 = 100% probability).
normalized = defProb;
} else {
// Whole-percent value (e.g. loadCIAContext min 5): convert to fraction and clamp.
normalized = Math.min(1, defProb / 100);
}
if (normalized === defProb) return ctx;
return {
...ctx,
coalitionStability: {
...ctx.coalitionStability!,
defectionProbability: normalized,
},
};
}
/**
* Analyse coalition stress from a list of voting records.
*
* Groups records by vote-point (bet + punkt), then counts:
* - Government wins/losses (M/KD/L/SD bloc)
* - Cross-party votes (opposition voting with government)
* - Internal defections (government parties split)
*
* Also integrates risk scoring via calculateCoalitionRiskIndex and
* detectAnomalousPatterns from scripts/data-transformers/risk-analysis.ts.
*
* @param votingRecords - Raw records from search_voteringar
* @param ciaContext - CIA intelligence context for risk scoring
*/
export function analyzeCoalitionStress(
votingRecords: VotingRecord[],
ciaContext: CIAContext,
): CoalitionStressResult {
const GOV_PARTIES = GOVERNMENT_PARTIES;
const OPP_PARTIES = OPPOSITION_PARTIES;
// Group records by vote-point
const byPoint = new Map<string, VotingRecord[]>();
for (const record of votingRecords) {
const key = `${record.bet ?? 'unknown'}-${record.punkt ?? '0'}`;
if (!byPoint.has(key)) byPoint.set(key, []);
byPoint.get(key)!.push(record);
}
let governmentWins = 0;
let governmentLosses = 0;
let crossPartyVotes = 0;
let defections = 0;
for (const records of byPoint.values()) {
const totalYes = records.filter(r => r.rost === 'Ja').length;
const totalNo = records.filter(r => r.rost === 'Nej').length;
const govYes = records.filter(r => GOV_PARTIES.has(r.parti ?? '') && r.rost === 'Ja').length;
const govNo = records.filter(r => GOV_PARTIES.has(r.parti ?? '') && r.rost === 'Nej').length;
const oppYes = records.filter(r => OPP_PARTIES.has(r.parti ?? '') && r.rost === 'Ja').length;
const oppNo = records.filter(r => OPP_PARTIES.has(r.parti ?? '') && r.rost === 'Nej').length;
// Determine government position — skip if the bloc is evenly split (no clear position)
const govPositionClear = govYes !== govNo;
const govPosition = govYes > govNo ? 'Ja' : 'Nej';
// Government wins when its position matches the chamber majority
if (govPositionClear && totalYes !== totalNo) {
const governmentWon =
(govPosition === 'Ja' && totalYes > totalNo) ||
(govPosition === 'Nej' && totalNo > totalYes);
if (governmentWon) { governmentWins++; }
else E{ governmentLosses++; }
}
// Cross-party: opposition aligned with government position (Ja or Nej)
const oppAlignedWithGov = govPosition === 'Ja' ? oppYes > 0 : oppNo > 0;
if (govPositionClear && oppAlignedWithGov) crossPartyVotes++;
// Defection: government bloc members split
if (govYes > 0 && govNo > 0) defections++;
}
const normCtx = normalizedCIAContext(ciaContext);
return {
governmentWins,
governmentLosses,
crossPartyVotes,
defections,
riskIndex: calculateCoalitionRiskIndex(normCtx),
anomalies: detectAnomalousPatterns(normCtx),
totalVotes: byPoint.size,
};
}
/**
* Calculate current-week activity metrics with CIA trend direction.
*
* Returns the count of documents, speeches, and distinct vote-points
* collected during the current week, together with the CIA trend comparison
* (30/90/365-day coalition stability trajectory) mapped to a simple
* increasing/stable/declining direction.
*
* NOTE: This is not a prior-week comparison — `activityChange` reflects the
* CIA coalition-stability trend direction, not a delta against last week.
*
* @param documents - Documents collected this week
* @param speeches - Speeches collected this week
* @param votingRecords - Voting records collected this week (already date-filtered)
* @param ciaContext - CIA intelligence context for trend analysis
*/
export function calculateWeeklyActivityMetrics(
documents: RawDocument[],
speeches: unknown[],
votingRecords: VotingRecord[],
ciaContext: CIAContext,
): WeeklyActivityMetrics {
const trendComparison = generateTrendComparison(ciaContext);
const activityChange: WeeklyActivityMetrics['activityChange'] =
trendComparison.overallDirection === 'IMPROVING'
? 'increasing'
: trendComparison.overallDirection === 'DECLINING' || trendComparison.overallDirection === 'VOLATILE'
? 'declining'
: 'stable';
// Count distinct vote-points (bet + punkt) to align with coalition analysis semantics
const uniqueVotePoints = new Set<string>();
for (const record of votingRecords) {
Eif (record.bet && record.punkt) {
uniqueVotePoints.add(`${record.bet}-${record.punkt}`);
}
}
const currentVotes = uniqueVotePoints.size;
return {
currentDocuments: documents.length,
currentSpeeches: speeches.length,
currentVotes,
trendComparison,
activityChange,
};
}
/** Coalition Dynamics section labels for all 14 languages */
const COALITION_DYNAMICS_LABELS: Readonly<Record<Language, string>> = {
en: 'Coalition Dynamics',
sv: 'Koalitionsdynamik',
da: 'Koalitionsdynamik',
no: 'Koalisjonsdynamikk',
fi: 'Koalitionidynamiikka',
de: 'Koalitionsdynamik',
fr: 'Dynamique de coalition',
es: 'Dinámica de coalición',
nl: 'Coalitiedynamiek',
ar: 'ديناميكيات الائتلاف',
he: 'דינמיקת קואליציה',
ja: '連立の動向',
ko: '연립 동향',
zh: '联合政府动态',
};
/** Risk level labels for all 14 languages */
const RISK_LEVEL_LABELS: Readonly<Record<Language, Record<string, string>>> = {
en: { LOW: 'Low', MEDIUM: 'Moderate', HIGH: 'High', CRITICAL: 'Critical' },
sv: { LOW: 'Låg', MEDIUM: 'Måttlig', HIGH: 'Hög', CRITICAL: 'Kritisk' },
da: { LOW: 'Lav', MEDIUM: 'Moderat', HIGH: 'Høj', CRITICAL: 'Kritisk' },
no: { LOW: 'Lav', MEDIUM: 'Moderat', HIGH: 'Høy', CRITICAL: 'Kritisk' },
fi: { LOW: 'Matala', MEDIUM: 'Kohtalainen', HIGH: 'Korkea', CRITICAL: 'Kriittinen' },
de: { LOW: 'Gering', MEDIUM: 'Moderat', HIGH: 'Hoch', CRITICAL: 'Kritisch' },
fr: { LOW: 'Faible', MEDIUM: 'Modéré', HIGH: 'Élevé', CRITICAL: 'Critique' },
es: { LOW: 'Bajo', MEDIUM: 'Moderado', HIGH: 'Alto', CRITICAL: 'Crítico' },
nl: { LOW: 'Laag', MEDIUM: 'Matig', HIGH: 'Hoog', CRITICAL: 'Kritiek' },
ar: { LOW: 'منخفض', MEDIUM: 'معتدل', HIGH: 'مرتفع', CRITICAL: 'حرج' },
he: { LOW: 'נמוך', MEDIUM: 'בינוני', HIGH: 'גבוה', CRITICAL: 'קריטי' },
ja: { LOW: '低', MEDIUM: '中程度', HIGH: '高', CRITICAL: '危機的' },
ko: { LOW: '낮음', MEDIUM: '보통', HIGH: '높음', CRITICAL: '위급' },
zh: { LOW: '低', MEDIUM: '中等', HIGH: '高', CRITICAL: '危急' },
};
/** Coalition Dynamics stats labels for all 14 languages */
const COALITION_STATS_LABELS: Readonly<Record<Language, {
score: string; level: string; wins: string; losses: string;
cross: string; defections: string; votes: string;
}>> = {
en: { score: 'Risk score', level: 'Risk level', wins: 'Government wins', losses: 'Government losses', cross: 'Cross-party votes', defections: 'Internal defections', votes: 'Vote points analysed' },
sv: { score: 'Riskpoäng', level: 'Risknivå', wins: 'Regeringsvinster', losses: 'Regeringsförluster', cross: 'Partiöverskridande röster', defections: 'Interna avhopp', votes: 'Analyserade röstpunkter' },
da: { score: 'Risikoscore', level: 'Risikoniveau', wins: 'Regeringsgevinster', losses: 'Regeringstab', cross: 'Tværpartilige stemmer', defections: 'Interne afhopp', votes: 'Analyserede afstemningspunkter' },
no: { score: 'Risikoscore', level: 'Risikonivå', wins: 'Regjeringsseire', losses: 'Regjeringstap', cross: 'Tverrpartistemmer', defections: 'Interne avhopp', votes: 'Analyserte voteringspunkter' },
fi: { score: 'Riskipisteet', level: 'Riskitaso', wins: 'Hallituksen voitot', losses: 'Hallituksen tappiot', cross: 'Puoluerajat ylittävät äänet', defections: 'Sisäiset loikkaukset', votes: 'Analysoidut äänestyskohteet' },
de: { score: 'Risikowert', level: 'Risikoniveau', wins: 'Regierungssiege', losses: 'Regierungsniederlagen', cross: 'Überparteiliche Abstimmungen', defections: 'Interne Abweichungen', votes: 'Analysierte Abstimmungspunkte' },
fr: { score: 'Score de risque', level: 'Niveau de risque', wins: 'Victoires gouvernementales', losses: 'Défaites gouvernementales', cross: 'Votes transpartisans', defections: 'Défections internes', votes: 'Points de vote analysés' },
es: { score: 'Puntuación de riesgo', level: 'Nivel de riesgo', wins: 'Victorias gubernamentales', losses: 'Derrotas gubernamentales', cross: 'Votos transversales', defections: 'Defecciones internas', votes: 'Puntos de votación analizados' },
nl: { score: 'Risicoscore', level: 'Risiconiveau', wins: 'Regeringsoverwinningen', losses: 'Regeringsnederlagen', cross: 'Stemmen over partijgrenzen', defections: 'Interne defecties', votes: 'Geanalyseerde stempunten' },
ar: { score: 'درجة الخطر', level: 'مستوى الخطر', wins: 'انتصارات الحكومة', losses: 'خسائر الحكومة', cross: 'تصويتات متعددة الأحزاب', defections: 'الانشقاقات الداخلية', votes: 'نقاط التصويت المحللة' },
he: { score: 'ציון סיכון', level: 'רמת סיכון', wins: 'ניצחונות ממשלתיים', losses: 'הפסדים ממשלתיים', cross: 'הצבעות חוצות-מפלגות', defections: 'עריקות פנימיות', votes: 'נקודות הצבעה שנותחו' },
ja: { score: 'リスクスコア', level: 'リスクレベル', wins: '政府の勝利', losses: '政府の敗北', cross: '超党派投票', defections: '内部離反', votes: '分析された投票点' },
ko: { score: '위험 점수', level: '위험 수준', wins: '정부 승리', losses: '정부 패배', cross: '초당파 표결', defections: '내부 이탈', votes: '분석된 표결 항목' },
zh: { score: '风险评分', level: '风险等级', wins: '政府获胜', losses: '政府失败', cross: '跨党派投票', defections: '内部叛离', votes: '分析的表决点' },
};
/**
* Generate the "Coalition Dynamics" HTML section for the given language.
* Shows risk index, government wins/losses, cross-party votes, defections,
* and any anomaly flags detected this week.
*/
export function generateCoalitionDynamicsSection(
stress: CoalitionStressResult,
lang: Language,
): string {
const heading = COALITION_DYNAMICS_LABELS[lang] ?? COALITION_DYNAMICS_LABELS.en;
const riskLabels = RISK_LEVEL_LABELS[lang] ?? RISK_LEVEL_LABELS.en;
const riskLevelLabel = riskLabels[stress.riskIndex.level] ?? stress.riskIndex.level;
const lbl = COALITION_STATS_LABELS[lang] ?? COALITION_STATS_LABELS.en;
let html = `\n <h2>${escapeHtml(heading)}</h2>\n`;
html += ` <div class="context-box">\n`;
html += ` <p>${escapeHtml(stress.riskIndex.summary)}</p>\n`;
html += ` <ul>\n`;
html += ` <li><strong>${escapeHtml(lbl.score)}:</strong> ${stress.riskIndex.score}/100</li>\n`;
html += ` <li><strong>${escapeHtml(lbl.level)}:</strong> ${escapeHtml(riskLevelLabel)}</li>\n`;
if (stress.totalVotes > 0) {
html += ` <li><strong>${escapeHtml(lbl.votes)}:</strong> ${stress.totalVotes}</li>\n`;
html += ` <li><strong>${escapeHtml(lbl.wins)}:</strong> ${stress.governmentWins}</li>\n`;
html += ` <li><strong>${escapeHtml(lbl.losses)}:</strong> ${stress.governmentLosses}</li>\n`;
if (stress.crossPartyVotes > 0) {
html += ` <li><strong>${escapeHtml(lbl.cross)}:</strong> ${stress.crossPartyVotes}</li>\n`;
}
if (stress.defections > 0) {
html += ` <li><strong>${escapeHtml(lbl.defections)}:</strong> ${stress.defections}</li>\n`;
}
}
html += ` </ul>\n`;
if (stress.anomalies.length > 0) {
html += ` <ul>\n`;
for (const anomaly of stress.anomalies.slice(0, 3)) {
const severityRaw = anomaly.severity;
const severityNormalized = severityRaw.toLowerCase();
const isValidSeverity = VALID_SEVERITIES.has(severityNormalized);
Iif (!isValidSeverity) {
console.warn(`WeeklyReview: Unexpected anomaly severity '${severityRaw}', falling back to 'low'.`);
}
const severityClass = isValidSeverity ? severityNormalized : 'low';
html += ` <li class="anomaly-flag severity-${severityClass}">${escapeHtml(anomaly.description)}</li>\n`;
}
html += ` </ul>\n`;
}
html += ` </div>\n`;
return html;
}
/** Weekly Activity section labels for all 14 languages */
const WEEK_OVER_WEEK_LABELS: Readonly<Record<Language, string>> = {
en: 'Weekly Activity',
sv: 'Veckans aktivitet',
da: 'Ugentlig aktivitet',
no: 'Ukentlig aktivitet',
fi: 'Viikon toiminta',
de: 'Wöchentliche Aktivität',
fr: 'Activité hebdomadaire',
es: 'Actividad semanal',
nl: 'Wekelijkse activiteit',
ar: 'النشاط الأسبوعي',
he: 'פעילות שבועית',
ja: '今週の活動',
ko: '주간 활동',
zh: '本周活动',
};
/** Weekly Activity metric labels for all 14 languages */
const WEEKLY_ACTIVITY_LABELS: Readonly<Record<Language, {
documents: string; speeches: string; votes: string; trend: string;
direction: string; insights: string; increasing: string; stable: string; declining: string;
}>> = {
en: { documents: 'Documents', speeches: 'Speeches', votes: 'Votes', trend: 'Stability trend', direction: 'CIA stability trend', insights: 'Trend insights', increasing: 'Improving ↑', stable: 'Stable →', declining: 'Declining ↓' },
sv: { documents: 'Dokument', speeches: 'Anföranden', votes: 'Voteringar', trend: 'Stabilitetstrend', direction: 'CIA-stabilitetstrend', insights: 'Trendinsikter', increasing: 'Förbättrad ↑', stable: 'Stabilt →', declining: 'Minskande ↓' },
da: { documents: 'Dokumenter', speeches: 'Taler', votes: 'Afstemninger', trend: 'Stabilitetstrend', direction: 'CIA-stabilitetstrend', insights: 'Trendindsigter', increasing: 'Forbedret ↑', stable: 'Stabilt →', declining: 'Faldende ↓' },
no: { documents: 'Dokumenter', speeches: 'Taler', votes: 'Voteringer', trend: 'Stabilitetstrend', direction: 'CIA-stabilitetstrend', insights: 'Trendinnsikter', increasing: 'Forbedret ↑', stable: 'Stabilt →', declining: 'Synkende ↓' },
fi: { documents: 'Asiakirjat', speeches: 'Puheenvuorot', votes: 'Äänestykset', trend: 'Vakaustrendit', direction: 'CIA-vakaustrendi', insights: 'Trendianalyysit', increasing: 'Paraneva ↑', stable: 'Vakaa →', declining: 'Laskeva ↓' },
de: { documents: 'Dokumente', speeches: 'Reden', votes: 'Abstimmungen', trend: 'Stabilitätstrend', direction: 'CIA-Stabilitätstrend', insights: 'Trendeinblicke', increasing: 'Verbessernd ↑', stable: 'Stabil →', declining: 'Abnehmend ↓' },
fr: { documents: 'Documents', speeches: 'Discours', votes: 'Votes', trend: 'Tendance de stabilité', direction: 'Tendance stabilité CIA', insights: 'Aperçus des tendances', increasing: 'En amélioration ↑', stable: 'Stable →', declining: 'En baisse ↓' },
es: { documents: 'Documentos', speeches: 'Discursos', votes: 'Votaciones', trend: 'Tendencia de estabilidad', direction: 'Tendencia estabilidad CIA', insights: 'Perspectivas de tendencia', increasing: 'Mejorando ↑', stable: 'Estable →', declining: 'En descenso ↓' },
nl: { documents: 'Documenten', speeches: 'Toespraken', votes: 'Stemmingen', trend: 'Stabiliteitstrend', direction: 'CIA-stabiliteitstrend', insights: 'Trendinzichten', increasing: 'Verbeterend ↑', stable: 'Stabiel →', declining: 'Afnemend ↓' },
ar: { documents: 'وثائق', speeches: 'خطب', votes: 'عمليات التصويت', trend: 'اتجاه الاستقرار', direction: 'اتجاه استقرار CIA', insights: 'رؤى الاتجاه', increasing: 'تحسّن ↑', stable: 'مستقر →', declining: 'متناقص ↓' },
he: { documents: 'מסמכים', speeches: 'נאומים', votes: 'הצבעות', trend: 'מגמת יציבות', direction: 'מגמת יציבות CIA', insights: 'תובנות מגמה', increasing: 'משתפר ↑', stable: 'יציב →', declining: 'יורד ↓' },
ja: { documents: '文書', speeches: '演説', votes: '採決', trend: '安定性トレンド', direction: 'CIA安定性トレンド', insights: 'トレンド考察', increasing: '改善中 ↑', stable: '安定 →', declining: '低下中 ↓' },
ko: { documents: '문서', speeches: '연설', votes: '표결', trend: '안정성 추세', direction: 'CIA 안정성 추세', insights: '추세 인사이트', increasing: '개선 중 ↑', stable: '안정적 →', declining: '감소 중 ↓' },
zh: { documents: '文件', speeches: '演讲', votes: '表决', trend: '稳定性趋势', direction: 'CIA稳定性趋势', insights: '趋势洞察', increasing: '改善中 ↑', stable: '稳定 →', declining: '下降中 ↓' },
};
/**
* Generate the "Weekly Activity" HTML section for the given language.
* Shows current-week activity counts (documents, speeches, vote-points),
* the CIA coalition-stability trend direction, and trend insights.
*
* NOTE: The "direction" field reflects the CIA stability trend (30/90/365-day),
* not a comparison against last week's counts.
*/
export function generateWeeklyActivitySection(
metrics: WeeklyActivityMetrics,
lang: Language,
): string {
const heading = WEEK_OVER_WEEK_LABELS[lang] ?? WEEK_OVER_WEEK_LABELS.en;
const lbl = WEEKLY_ACTIVITY_LABELS[lang] ?? WEEKLY_ACTIVITY_LABELS.en;
const directionText = metrics.activityChange === 'increasing'
? lbl.increasing
: metrics.activityChange === 'declining'
? lbl.declining
: lbl.stable;
let html = `\n <h2>${escapeHtml(heading)}</h2>\n`;
html += ` <div class="context-box">\n`;
html += ` <ul>\n`;
html += ` <li><strong>${escapeHtml(lbl.documents)}:</strong> ${metrics.currentDocuments}</li>\n`;
html += ` <li><strong>${escapeHtml(lbl.speeches)}:</strong> ${metrics.currentSpeeches}</li>\n`;
if (metrics.currentVotes > 0) {
html += ` <li><strong>${escapeHtml(lbl.votes)}:</strong> ${metrics.currentVotes}</li>\n`;
}
html += ` <li><strong>${escapeHtml(lbl.direction)}:</strong> ${escapeHtml(directionText)}</li>\n`;
html += ` </ul>\n`;
Eif (metrics.trendComparison.insights.length > 0) {
html += ` <p><strong>${escapeHtml(lbl.insights)}:</strong> ${escapeHtml(metrics.trendComparison.insights[0] ?? '')}</p>\n`;
}
html += ` </div>\n`;
return html;
}
/**
* Generate Weekly Review article in specified languages
*/
export async function generateWeeklyReview(options: GenerationOptions = {}): Promise<GenerationResult> {
const { languages = ['en', 'sv'], lookbackDays = 7, writeArticle = null } = options;
console.log('📊 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(` 🔄 Step 1 — Searching documents ${fromStr} → ${toStr}...`);
// ── Step 1: search_dokument to discover IDs and types ──────────────────
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;
});
// ── Step 2: type-specific fetchers for richer metadata (non-fatal) ─────
console.log(' 🔄 Step 2 — 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(` 📊 Found ${documents.length} documents (${recentReports.length} reports, ${recentPropositions.length} propositions, ${recentMotions.length} motions)`);
if (documents.length === 0) {
console.log(' ℹ️ No documents found for the past week, skipping');
return { success: true, files: 0, mcpCalls };
}
// ── Step 3: load each document completely via get_dokument_innehall ────
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 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(` 🗣 Found ${speeches.length} speeches`);
// ── Step 5: load CIA intelligence context from static data ─────────────
console.log(' 🔄 Step 5 — Loading CIA intelligence context...');
const ciaContext = loadCIAContext();
console.log(` 🧠 CIA context: ${ciaContext.partyPerformance.length} parties, coalition stability ${ciaContext.coalitionStability.stabilityScore}/100, motion denial rate ${ciaContext.overallMotionDenialRate}%`);
// ── Step 6: fetch voting records for coalition stress analysis ─────────
console.log(' 🔄 Step 6 — 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 riksmöte(s) from both ends of the date range using the shared
// getCurrentRiksmote utility (Sep boundary: month >= 8 → 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(` 🗳 Found ${votingRecords.length} voting records`);
// ── Compute coalition stress and week-over-week metrics ────────────────
const coalitionStress = analyzeCoalitionStress(votingRecords as VotingRecord[], ciaContext);
const weekMetrics = calculateWeeklyActivityMetrics(documents, speeches, votingRecords as VotingRecord[], ciaContext);
console.log(` 📈 Coalition risk: ${coalitionStress.riskIndex.level} (${coalitionStress.riskIndex.score}/100), activity: ${weekMetrics.activityChange}`);
// ── Generate articles ──────────────────────────────────────────────────
const slug = `${formatDateForSlug(today)}-weekly-review`;
const articles: GeneratedArticle[] = [];
for (const lang of languages) {
console.log(` 🌐 Generating ${lang.toUpperCase()} version...`);
const content: string = generateArticleContent({ documents, ciaContext }, 'weekly-review', lang);
const coalitionSection: string = generateCoalitionDynamicsSection(coalitionStress, lang);
const weekOverWeekSection: string = generateWeeklyActivitySection(weekMetrics, lang);
const fullContent: string = content + coalitionSection + weekOverWeekSection;
const watchPoints = extractWatchPoints({ documents, ciaContext }, lang);
const metadata = generateMetadata({ documents, ciaContext }, 'weekly-review', lang);
const readTime: string = calculateReadTime(fullContent);
const sources: string[] = generateSources([
'search_dokument',
'get_dokument_innehall',
'search_anforanden',
'get_betankanden',
'get_propositioner',
'get_motioner',
'search_voteringar',
]);
const titles: TitleSet = getTitles(lang, documents.length);
const html: string = generateArticleHTML({
slug: `${slug}-${lang}.html`,
title: titles.title,
subtitle: titles.subtitle,
date: today.toISOString().split('T')[0] ?? '',
type: 'retrospective' as ArticleCategory,
readTime,
lang,
content: fullContent,
watchPoints,
sources,
keywords: metadata.keywords,
topics: metadata.topics,
tags: metadata.tags
});
articles.push({
lang,
html,
filename: `${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', 'search_voteringar']
}
};
} catch (error: unknown) {
console.error('❌ 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: `Analysis of ${documentCount} key developments from the past week in Swedish politics`
},
sv: {
title: `Veckans sammanfattning: Riksdagen i retrospektiv`,
subtitle: `Analys av ${documentCount} viktiga händelser från den gångna veckan`
},
da: {
title: `Ugentlig gennemgang: Parlamentet i tilbageblik`,
subtitle: `Analyse af ${documentCount} vigtige begivenheder fra den forgangne uge`
},
no: {
title: `Ukentlig gjennomgang: Stortinget i retrospekt`,
subtitle: `Analyse av ${documentCount} viktige hendelser fra den siste uken`
},
fi: {
title: `Viikkokatsaus: Eduskunta jälkikäteen`,
subtitle: `Analyysi ${documentCount} tärkeästä tapahtumasta viime viikolta`
},
de: {
title: `Wochenrückblick: Parlament in Rückschau`,
subtitle: `Analyse von ${documentCount} wichtigen Entwicklungen der vergangenen Woche`
},
fr: {
title: `Revue hebdomadaire : Le Parlement en rétrospective`,
subtitle: `Analyse de ${documentCount} développements clés de la semaine écoulée`
},
es: {
title: `Revisión semanal: El Parlamento en retrospectiva`,
subtitle: `Análisis de ${documentCount} desarrollos clave de la semana pasada`
},
nl: {
title: `Wekelijkse terugblik: Parlement in retrospectief`,
subtitle: `Analyse van ${documentCount} belangrijke ontwikkelingen van de afgelopen week`
},
ar: {
title: `المراجعة الأسبوعية: البرلمان في استعراض`,
subtitle: `تحليل ${documentCount} تطورات رئيسية من الأسبوع الماضي`
},
he: {
title: `סקירה שבועית: הפרלמנט בראי`,
subtitle: `ניתוח ${documentCount} התפתחויות מרכזיות מהשבוע שעבר`
},
ja: {
title: `週間レビュー：議会の振り返り`,
subtitle: `先週の${documentCount}件の主要な動向の分析`
},
ko: {
title: `주간 리뷰: 의회 회고`,
subtitle: `지난 주 ${documentCount}건의 주요 동향 분석`
},
zh: {
title: `每周回顾：议会回顾`,
subtitle: `过去一周${documentCount}项重要发展的分析`
}
};
return titles[lang] || titles.en;
}
/**
* Validate weekly review article structure
*/
export function validateWeeklyReview(article: ArticleInput): WeeklyReviewValidationResult {
const hasWeeklySummary = checkWeeklySummary(article);
const hasMinimumSources = countSources(article) >= 3;
const hasRetrospectiveTone = checkRetrospectiveTone(article);
const hasKeyOutcomes = checkKeyOutcomes(article);
return {
hasWeeklySummary,
hasMinimumSources,
hasRetrospectiveTone,
hasKeyOutcomes,
passed: hasWeeklySummary && hasMinimumSources && hasRetrospectiveTone && hasKeyOutcomes
};
}
function checkWeeklySummary(article: ArticleInput): boolean {
Iif (!article || !article.content) return false;
return article.content.toLowerCase().includes('week') ||
article.content.toLowerCase().includes('summary') ||
article.content.toLowerCase().includes('review');
}
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'];
return retroKeywords.some(keyword =>
(article.content as string).toLowerCase().includes(keyword)
);
}
function checkKeyOutcomes(article: ArticleInput): boolean {
Iif (!article || !article.content) return false;
const outcomeKeywords = ['outcome', 'result', 'decision', 'passed', 'adopted'];
return outcomeKeywords.some(keyword =>
(article.content as string).toLowerCase().includes(keyword)
);
}
|