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// SPDX-License-Identifier: Apache-2.0
/**
* @module Utils/IntelligenceAnalysis
* @description Pure intelligence analysis utility functions for structured
* assessment of European Parliament data. All functions are stateless and
* safely handle malformed or missing MCP data. No side effects.
*/
import { escapeHTML } from './file-utils.js';
import type {
VotingAnomalyIntelligence,
CoalitionIntelligence,
MEPInfluenceScore,
LegislativeVelocity,
StakeholderPerspective,
StakeholderOutcomeMatrix,
AnalysisStakeholderType,
} from '../types/index.js';
import { ALL_STAKEHOLDER_TYPES } from '../types/index.js';
// ─── Internal type aliases ────────────────────────────────────────────────────
type SignificanceLevel = VotingAnomalyIntelligence['significance'];
type RiskLevel = CoalitionIntelligence['riskLevel'];
type AlignmentTrend = CoalitionIntelligence['alignmentTrend'];
// ─── Validation constants ─────────────────────────────────────────────────────
/** Valid significance levels in descending priority order */
const SIGNIFICANCE_LEVELS: readonly string[] = ['critical', 'high', 'medium', 'low'];
/** Valid risk levels for coalition and bottleneck assessment */
const RISK_LEVELS: readonly string[] = ['high', 'medium', 'low'];
/** Valid alignment trend values */
const ALIGNMENT_TRENDS: readonly string[] = ['strengthening', 'weakening', 'stable'];
/** Priority weights for significance-based ranking */
const SIGNIFICANCE_WEIGHTS: Readonly<Record<string, number>> = {
critical: 4,
high: 3,
medium: 2,
low: 1,
};
// ─── Private value-extraction helpers ────────────────────────────────────────
/**
* Safely extract a string from an unknown field value
*
* @param val - Unknown value to coerce
* @returns The string value or empty string if not a string
*/
function asStr(val: unknown): string {
return typeof val === 'string' ? val : '';
}
/**
* Safely extract a finite number from an unknown field value
*
* @param val - Unknown value to coerce
* @param fallback - Value returned when input is not a finite number
* @returns Finite number or fallback
*/
function asNum(val: unknown, fallback = 0): number {
return typeof val === 'number' && Number.isFinite(val) ? val : fallback;
}
/**
* Safely extract an array of strings from an unknown field value
*
* @param val - Unknown value to coerce
* @returns Array of strings (empty array if input is not an array)
*/
function asStrArr(val: unknown): string[] {
if (!Array.isArray(val)) return [];
return (val as unknown[]).filter((v): v is string => typeof v === 'string');
}
/**
* Coerce an unknown value to a non-null Record or return null
*
* @param input - Value to cast
* @returns Record or null for null/undefined/non-object input
*/
function toRecord(input: unknown): Record<string, unknown> | null {
if (input === null || input === undefined || typeof input !== 'object') return null;
return input as Record<string, unknown>;
}
// ─── Private parsing validators ───────────────────────────────────────────────
/**
* Validate and normalise a raw significance level string
*
* @param raw - Raw string from MCP data
* @returns Validated SignificanceLevel, defaulting to 'low'
*/
function parseSignificance(raw: string): SignificanceLevel {
const lower = raw.toLowerCase();
return SIGNIFICANCE_LEVELS.includes(lower) ? (lower as SignificanceLevel) : 'low';
}
/**
* Validate and normalise a raw risk level string
*
* @param raw - Raw string from MCP data
* @returns Validated RiskLevel, defaulting to 'medium'
*/
function parseRiskLevel(raw: string): RiskLevel {
const lower = raw.toLowerCase();
return RISK_LEVELS.includes(lower) ? (lower as RiskLevel) : 'medium';
}
/**
* Validate and normalise a raw alignment trend string
*
* @param raw - Raw string from MCP data
* @returns Validated AlignmentTrend, defaulting to 'stable'
*/
function parseAlignmentTrend(raw: string): AlignmentTrend {
const lower = raw.toLowerCase();
return ALIGNMENT_TRENDS.includes(lower) ? (lower as AlignmentTrend) : 'stable';
}
// ─── Exported intelligence functions ─────────────────────────────────────────
/**
* Parse and score a voting anomaly from raw MCP data.
* Returns null for null, undefined, non-object, or inputs missing a valid
* anomaly identifier.
*
* @param rawAnomaly - Raw MCP anomaly data (unknown shape)
* @returns Structured VotingAnomalyIntelligence or null if input is invalid
*/
export function scoreVotingAnomaly(rawAnomaly: unknown): VotingAnomalyIntelligence | null {
const a = toRecord(rawAnomaly);
if (!a) return null;
const anomalyId = asStr(a['anomalyId']) || asStr(a['id']);
if (!anomalyId) return null;
return {
anomalyId,
significance: parseSignificance(asStr(a['significance'])),
description: asStr(a['description']),
affectedGroups: asStrArr(a['affectedGroups']),
deviationPercentage: asNum(a['deviationPercentage']),
historicalContext: asStr(a['historicalContext']),
implication: asStr(a['implication']),
};
}
/**
* Analyse a coalition's cohesion from raw MCP coalition data.
* Returns null for null, undefined, non-object, or inputs missing a valid
* coalition identifier.
*
* @param rawCoalition - Raw MCP coalition data (unknown shape)
* @returns Structured CoalitionIntelligence or null if input is invalid
*/
export function analyzeCoalitionCohesion(rawCoalition: unknown): CoalitionIntelligence | null {
const c = toRecord(rawCoalition);
if (!c) return null;
const coalitionId = asStr(c['coalitionId']) || asStr(c['id']);
if (!coalitionId) return null;
return {
coalitionId,
groups: asStrArr(c['groups']),
cohesionScore: Math.min(1, Math.max(0, asNum(c['cohesionScore']))),
alignmentTrend: parseAlignmentTrend(asStr(c['alignmentTrend'])),
keyVotes: Math.max(0, Math.round(asNum(c['keyVotes']))),
riskLevel: parseRiskLevel(asStr(c['riskLevel'])),
};
}
/**
* Extract and score MEP influence from raw MCP influence data.
* Returns null for null, undefined, non-object, or inputs missing both a
* valid MEP identifier and display name.
*
* @param rawInfluence - Raw MCP MEP influence data (unknown shape)
* @returns Structured MEPInfluenceScore or null if input is invalid
*/
export function scoreMEPInfluence(rawInfluence: unknown): MEPInfluenceScore | null {
const m = toRecord(rawInfluence);
if (!m) return null;
const mepId = asStr(m['mepId']) || asStr(m['id']);
const mepName = asStr(m['mepName']) || asStr(m['name']);
if (!mepId || !mepName) return null;
return {
mepId,
mepName,
overallScore: Math.min(100, Math.max(0, asNum(m['overallScore']))),
votingActivity: Math.min(100, Math.max(0, asNum(m['votingActivity']))),
legislativeOutput: Math.min(100, Math.max(0, asNum(m['legislativeOutput']))),
committeeEngagement: Math.min(100, Math.max(0, asNum(m['committeeEngagement']))),
rank: asStr(m['rank']),
};
}
/**
* Calculate legislative velocity from raw MCP procedure data.
* Returns null for null, undefined, non-object, or inputs missing a valid
* procedure identifier or title.
*
* @param rawProcedure - Raw MCP procedure data (unknown shape)
* @returns Structured LegislativeVelocity or null if input is invalid
*/
export function calculateLegislativeVelocity(rawProcedure: unknown): LegislativeVelocity | null {
const p = toRecord(rawProcedure);
if (!p) return null;
const procedureId = asStr(p['procedureId']) || asStr(p['id']);
const title = asStr(p['title']);
if (!procedureId || !title) return null;
return {
procedureId,
title,
stage: asStr(p['stage']) || 'Unknown',
daysInCurrentStage: Math.max(0, Math.round(asNum(p['daysInCurrentStage']))),
velocityScore: Math.min(1, Math.max(0, asNum(p['velocityScore']))),
bottleneckRisk: parseRiskLevel(asStr(p['bottleneckRisk'])),
predictedCompletion: asStr(p['predictedCompletion']),
};
}
/**
* Sort items by significance level descending, with numeric score as
* tie-breaker. Items with higher significance or scores appear first.
* The original array is not mutated.
*
* @param items - Array of items with optional significance and score fields
* @returns New sorted array ordered by significance then score
*/
export function rankBySignificance<
T extends {
significance?: string | undefined;
overallScore?: number | undefined;
cohesionScore?: number | undefined;
},
>(items: T[]): T[] {
return [...items].sort((a, b) => {
const sigA = SIGNIFICANCE_WEIGHTS[a.significance ?? ''] ?? 0;
const sigB = SIGNIFICANCE_WEIGHTS[b.significance ?? ''] ?? 0;
if (sigA !== sigB) return sigB - sigA;
const scoreA = a.overallScore ?? a.cohesionScore ?? 0;
const scoreB = b.overallScore ?? b.cohesionScore ?? 0;
return scoreB - scoreA;
});
}
/**
* Build an HTML section element for displaying intelligence items as a list.
* All title, className, and item strings are HTML-escaped to prevent XSS.
* Returns an empty string when the items array is empty.
*
* @param title - Section heading text (will be HTML-escaped)
* @param items - Array of text items to display as list entries (will be HTML-escaped)
* @param className - CSS class name for the section element (will be HTML-escaped)
* @returns HTML string for the intelligence section, or empty string if no items
*/
export function buildIntelligenceSection(
title: string,
items: string[],
className: string
): string {
if (items.length === 0) return '';
const safeClass = escapeHTML(className);
const safeTitle = escapeHTML(title);
const itemsHtml = items.map((item) => `<li>${escapeHTML(item)}</li>`).join('\n ');
return `<section class="${safeClass}">
<h2>${safeTitle}</h2>
<ul>
${itemsHtml}
</ul>
</section>`;
}
// ─── Stakeholder scoring functions ───────────────────────────────────────────
/**
* Derive a severity level from a numeric 0-1 importance score.
*
* @param score - Normalised importance score (0 = least important, 1 = most)
* @returns Severity level
*/
function severityFromScore(score: number): StakeholderPerspective['severity'] {
if (score >= 0.7) return 'high';
if (score >= 0.4) return 'medium';
return 'low';
}
/**
* Build a default set of stakeholder perspectives for a parliamentary action.
* Each perspective is seeded with a reasoning string and evidence items derived
* from the provided topic and impact scores. All six stakeholder groups receive
* a perspective entry.
*
* @param topic - Short description of the parliamentary action (e.g. vote title)
* @param scores - Optional per-stakeholder importance scores (0-1); defaults to 0.5
* @returns Array of six StakeholderPerspective objects, one per stakeholder group
*/
export function buildDefaultStakeholderPerspectives(
topic: string,
scores?: Partial<Record<AnalysisStakeholderType, number>>
): StakeholderPerspective[] {
return ALL_STAKEHOLDER_TYPES.map((stakeholder) => {
const score = scores?.[stakeholder] ?? 0.5;
const severity = severityFromScore(score);
return {
stakeholder,
impact:
score >= 0.6
? ('positive' as const)
: score <= 0.3
? ('negative' as const)
: ('neutral' as const),
severity,
reasoning: `Impact on this stakeholder group: ${severity} significance based on "${topic}".`,
evidence: [topic],
};
});
}
/**
* Score stakeholder influence from raw MCP data.
* Returns null for null, undefined, non-object, or missing stakeholder type.
*
* @param rawData - Raw stakeholder influence data (unknown shape)
* @returns Structured StakeholderPerspective or null if input is invalid
*/
export function scoreStakeholderInfluence(rawData: unknown): StakeholderPerspective | null {
const d = toRecord(rawData);
if (!d) return null;
const stakeholderRaw = asStr(d['stakeholder']);
if (!(ALL_STAKEHOLDER_TYPES as readonly string[]).includes(stakeholderRaw)) return null;
const stakeholder = stakeholderRaw as AnalysisStakeholderType;
const impactRaw = asStr(d['impact']).toLowerCase();
const validImpacts = ['positive', 'negative', 'neutral', 'mixed'] as const;
const impact = (validImpacts as readonly string[]).includes(impactRaw)
? (impactRaw as StakeholderPerspective['impact'])
: 'neutral';
const severityRaw = asStr(d['severity']).toLowerCase();
const validSeverities = ['high', 'medium', 'low'] as const;
const severity = (validSeverities as readonly string[]).includes(severityRaw)
? (severityRaw as StakeholderPerspective['severity'])
: 'medium';
return {
stakeholder,
impact,
severity,
reasoning: asStr(d['reasoning']),
evidence: asStrArr(d['evidence']),
};
}
/**
* Build a StakeholderOutcomeMatrix row for a single parliamentary action.
* Derives outcomes from per-stakeholder scores: score > 0.6 → winner,
* score < 0.4 → loser, otherwise neutral.
*
* @param action - The parliamentary action being assessed
* @param scores - Per-stakeholder importance scores (0-1); defaults to 0.5
* @param confidence - Confidence level for the outcome assessments
* @returns A StakeholderOutcomeMatrix row
*/
export function buildStakeholderOutcomeMatrix(
action: string,
scores: Partial<Record<AnalysisStakeholderType, number>> = {},
confidence: StakeholderOutcomeMatrix['confidence'] = 'medium'
): StakeholderOutcomeMatrix {
const outcomes = Object.fromEntries(
ALL_STAKEHOLDER_TYPES.map((stakeholder) => {
const score = scores[stakeholder] ?? 0.5;
const outcome: 'winner' | 'loser' | 'neutral' =
score > 0.6 ? 'winner' : score < 0.4 ? 'loser' : 'neutral';
return [stakeholder, outcome];
})
) as Record<AnalysisStakeholderType, 'winner' | 'loser' | 'neutral'>;
return { action, outcomes, confidence };
}
/**
* Map an array of StakeholderPerspective objects to a simple influence ranking.
* Returns stakeholder types sorted by severity (high → medium → low), then by
* impact direction (negative before positive, as negative impacts require more
* political attention).
*
* @param perspectives - Array of stakeholder perspectives to rank
* @returns Stakeholder types sorted by influence priority
*/
export function rankStakeholdersByInfluence(
perspectives: readonly StakeholderPerspective[]
): AnalysisStakeholderType[] {
const severityWeight: Record<StakeholderPerspective['severity'], number> = {
high: 3,
medium: 2,
low: 1,
};
const impactWeight: Record<StakeholderPerspective['impact'], number> = {
negative: 3,
mixed: 2,
positive: 1,
neutral: 0,
};
return [...perspectives]
.sort((a, b) => {
const sw = severityWeight[b.severity] - severityWeight[a.severity];
if (sw !== 0) return sw;
const iw = impactWeight[b.impact] - impactWeight[a.impact];
Eif (iw !== 0) return iw;
// Deterministic tie-breaker: canonical ALL_STAKEHOLDER_TYPES order
return (
ALL_STAKEHOLDER_TYPES.indexOf(a.stakeholder) - ALL_STAKEHOLDER_TYPES.indexOf(b.stakeholder)
);
})
.map((p) => p.stakeholder);
}
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