/**
 * WorthDoing.ai
 * Author: Simon-Pierre Boucher
 * Contact: contact@spboucher.ai
 * File: src/lib/agent/scoring.ts
 * Description: Worth Score computation — evidence-weighted aggregate with separate evidence-confidence figure.
 */

export type DimensionScore = {
  dimension: "demand" | "neglectedness" | "feasibility" | "why_now" | "impact" | "competition" | "risk";
  score: number; // 0..100, higher = better for the opportunity (risk scored as "risk manageability")
  confidence: number; // 0..1 — how well the evidence supports this score
};

const WEIGHTS: Record<DimensionScore["dimension"], number> = {
  demand: 0.22,
  neglectedness: 0.16,
  feasibility: 0.16,
  why_now: 0.14,
  impact: 0.18,
  competition: 0.08,
  risk: 0.06,
};

/**
 * Worth Score = weighted mean of dimension scores (weights renormalized over
 * the dimensions actually provided). Evidence confidence is the same weighted
 * mean over per-dimension confidences — reported separately, never blended in:
 * a 93 backed by 41% confidence must look different from an 84 backed by 91%.
 */
export function computeWorthScore(scores: DimensionScore[]): {
  worthScore: number;
  evidenceConfidence: number;
} {
  const totalWeight = scores.reduce((sum, s) => sum + WEIGHTS[s.dimension], 0);
  if (totalWeight === 0) return { worthScore: 0, evidenceConfidence: 0 };
  let worth = 0;
  let conf = 0;
  for (const s of scores) {
    const w = WEIGHTS[s.dimension] / totalWeight;
    worth += w * s.score;
    conf += w * s.confidence;
  }
  return {
    worthScore: Math.round(worth * 10) / 10,
    evidenceConfidence: Math.round(conf * 1000) / 1000,
  };
}