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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 | 828x 828x 828x 828x 828x 828x 327x 327x 327x 805x 805x 805x 327x 327x 805x 805x 13058x 327x | /**
* @module analysis-framework
* @description Multi-perspective document analysis framework orchestrator.
*
* Applies all six analysis lenses to every parliamentary document:
* 1. Government 🏛️ — Policy execution, budget implications, coalition alignment
* 2. Opposition ⚖️ — Scrutiny opportunities, electoral positioning
* 3. Citizen 👥 — Service delivery, rights, cost-of-living
* 4. Economic 💰 — GDP/employment, business regulation, trade
* 5. International 🌍 — EU alignment, Nordic cooperation, treaty obligations
* 6. Media 📰 — Newsworthiness, narrative framing, controversy
*
* Integration points:
* - **SWOT Generator** — `perspective.swotContribution` entries
* - **Dashboard Generator** — `perspective.dashboardMetrics` entries
* - **Mindmap Generator** — `perspective.mindmapNodes` entries
* - **Article Content** — `result.keyInsights` and per-lens `summary`
* - **Newsworthiness** — `result.overallSignificance` drives article focus
*
* @example
* ```typescript
* import { analyzeDocument, analyzeDocuments } from './analysis-framework/index.js';
* const result = analyzeDocument(doc, cia, 'en');
* console.log(result.overallSignificance); // 1–10
* ```
*
* @author Hack23 AB
* @license Apache-2.0
*/
import type { RawDocument, CIAContext } from '../data-transformers/types.js';
import type { Language } from '../types/language.js';
import type {
DocumentAnalysisResult,
BatchAnalysisResult,
PerspectiveAnalysis,
} from './types.js';
import { detectPolicyDomains } from '../data-transformers/policy-analysis.js';
import { analyzeGovernmentPerspective } from './lenses/government.js';
import { analyzeOppositionPerspective } from './lenses/opposition.js';
import { analyzeCitizenPerspective } from './lenses/citizen.js';
import { analyzeEconomicPerspective } from './lenses/economic.js';
import { analyzeInternationalPerspective } from './lenses/international.js';
import { analyzeMediaPerspective } from './lenses/media.js';
import { detectCrossDocumentLinks, docId } from './cross-reference.js';
import {
computeSignificanceScore,
computeOverallConfidence,
extractKeyInsights,
} from './significance-scorer.js';
// ---------------------------------------------------------------------------
// Core per-document analysis
// ---------------------------------------------------------------------------
/**
* Apply all six analysis lenses to a single parliamentary document.
*
* Cross-document links are set to an empty array because this function
* operates on a single document without batch context. Use
* `analyzeDocuments()` to get inter-document relationships.
*
* @param doc - The parliamentary document to analyse
* @param cia - Optional CIA context (coalition stability, party performance, etc.)
* @param lang - Target language for all generated text (default: 'en')
* @param precomputedDomains - Optional pre-computed policy domains for this document.
* When provided (e.g. from `analyzeDocuments()`), avoids a
* redundant `detectPolicyDomains` call.
* @returns A complete `DocumentAnalysisResult`
*/
export function analyzeDocument(
doc: RawDocument,
cia?: CIAContext,
lang: Language | string = 'en',
precomputedDomains?: string[],
): DocumentAnalysisResult {
// Reuse caller-provided domains or compute once per document
const domains = precomputedDomains ?? detectPolicyDomains(doc, 'en');
const perspectives: PerspectiveAnalysis[] = [
analyzeGovernmentPerspective(doc, cia, lang, domains),
analyzeOppositionPerspective(doc, cia, lang, domains),
analyzeCitizenPerspective(doc, cia, lang, domains),
analyzeEconomicPerspective(doc, cia, lang, domains),
analyzeInternationalPerspective(doc, cia, lang, domains),
analyzeMediaPerspective(doc, cia, lang, domains),
];
const overallSignificance = computeSignificanceScore(doc, cia, perspectives, domains);
const confidenceScore = computeOverallConfidence(doc, perspectives);
const keyInsights = extractKeyInsights(perspectives);
return {
document: doc,
overallSignificance,
perspectives,
crossDocumentLinks: [],
keyInsights,
confidenceScore,
};
}
// ---------------------------------------------------------------------------
// Batch analysis
// ---------------------------------------------------------------------------
/**
* Apply all six analysis lenses to a batch of parliamentary documents.
*
* Also performs cross-document relationship detection across the entire batch.
*
* Performance target: 6 lenses × 30 documents < 120 seconds.
* The implementation is synchronous and CPU-bound; network calls are not made.
* Typical execution: ~1–5ms per document.
*
* @param docs - Documents to analyse
* @param cia - Optional CIA context shared across all documents
* @param lang - Target language for all generated text (default: 'en')
* @returns A `BatchAnalysisResult` containing per-document results and
* cross-document links detected across the whole batch
*/
export function analyzeDocuments(
docs: RawDocument[],
cia?: CIAContext,
lang: Language | string = 'en',
): BatchAnalysisResult {
const startMs = Date.now();
// Per-document analyses (no cross-references yet)
// Build a shared domain map so detectCrossDocumentLinks() doesn't re-compute.
const domainMap = new Map<string, string[]>();
const results: DocumentAnalysisResult[] = docs.map(doc => {
const domains = detectPolicyDomains(doc, 'en');
domainMap.set(docId(doc), domains);
return analyzeDocument(doc, cia, lang, domains);
});
// Cross-document link detection across the full batch — reuses domain map
const crossDocumentLinks = detectCrossDocumentLinks(docs, domainMap);
// Attach relevant links to each document result
for (const result of results) {
const id = docId(result.document);
result.crossDocumentLinks = crossDocumentLinks.filter(
link => link.sourceId === id || link.targetId === id
);
}
return {
results,
crossDocumentLinks,
processingTimeMs: Date.now() - startMs,
};
}
// ---------------------------------------------------------------------------
// Re-exports for convenience
// ---------------------------------------------------------------------------
export type {
AnalysisLens,
ImpactLevel,
Sentiment,
SwotContribution,
DashboardMetric,
MindmapNode,
MindmapNodeWeight,
PerspectiveAnalysis,
DocumentLink,
DocumentLinkType,
DocumentAnalysisResult,
BatchAnalysisResult,
} from './types.js';
export { detectCrossDocumentLinks, docId } from './cross-reference.js';
export { computeSignificanceScore, computeOverallConfidence, extractKeyInsights } from './significance-scorer.js';
export { analyzeGovernmentPerspective } from './lenses/government.js';
export { analyzeOppositionPerspective } from './lenses/opposition.js';
export { analyzeCitizenPerspective } from './lenses/citizen.js';
export { analyzeEconomicPerspective } from './lenses/economic.js';
export { analyzeInternationalPerspective } from './lenses/international.js';
export { analyzeMediaPerspective } from './lenses/media.js';
// ---------------------------------------------------------------------------
// Methodology exports (ISMS-inspired political analysis)
// ---------------------------------------------------------------------------
export type {
PoliticalClassification,
PublicInterestSensitivity,
DemocraticIntegrityImpact,
PolicyUrgency,
EconomicImpact,
GovernanceImpact,
PoliticalCapitalImpact,
LegislativeImpact,
OverallClassification,
PoliticalRiskCategory,
LikelihoodLevel,
RiskImpactLevel,
PoliticalRiskAssessment,
PoliticalRiskProfile,
ThreatCategory,
ThreatAgent,
ThreatSeverity,
PoliticalThreatAnalysis,
PoliticalThreatProfile,
MethodologyAnalysis,
} from './methodology-types.js';
export { LIKELIHOOD_PROBABILITY, IMPACT_WEIGHT } from './methodology-types.js';
export { classifyPoliticalDocument, classifyPoliticalDocuments } from './political-classification.js';
export { assessPoliticalRisk, assessSingleRiskCategory, computeRiskScore, deriveRiskPriority } from './political-risk-assessment.js';
export {
analysePoliticalThreats,
analysePoliticalThreats as analyzePoliticalThreats,
analyseSingleThreatCategory,
analyseSingleThreatCategory as analyzeSingleThreatCategory,
} from './political-threat-analysis.js';
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