scripts/stats.js

#!/usr/bin/env node
'use strict';
/**
 * PLT Dataset — Statistics & Composition Report
 */
const fs = require('fs');
const path = require('path');
const DATA = path.join(__dirname, '..', 'data');

const files = fs.readdirSync(DATA).filter(f => f.endsWith('.jsonl')).sort();
let grandTotal = 0;

console.log('=== PLT Dataset — Composition Report ===\n');

for (const file of files) {
  const rows = fs.readFileSync(path.join(DATA, file), 'utf8')
    .split('\n').filter(Boolean);
  const parsed = rows.map(l => JSON.parse(l));
  grandTotal += parsed.length;

  // PLB distribution
  const pl = { p: [], l: [], t: [] };
  for (const r of parsed) {
    pl.p.push(r.plb.profit);
    pl.l.push(r.plb.love);
    pl.t.push(r.plb.tax);
  }
  const avg = (arr) => (arr.reduce((a,b)=>a+b,0) / arr.length).toFixed(2);
  const max = (arr) => Math.max(...arr);

  const byType = {};
  for (const r of parsed) byType[r.type] = (byType[r.type]||0) + 1;

  console.log(`\n● ${file.replace('.jsonl','')} — ${parsed.length} rows`);
  console.log(`  Avg PLB:  P:${avg(pl.p)}  L:${avg(pl.l)}  T:${avg(pl.t)}`);
  console.log(`  Max Tax:  ${max(pl.t)}  (teaches tax_form detectors)`);
  const horizons = {};
  for (const r of parsed) horizons[r.plb.time_horizon] = (horizons[r.plb.time_horizon]||0) + 1;
  console.log(`  Horizons: ${Object.entries(horizons).map(([h,n])=>`${h}:${n}`).join('  ')}`);
  console.log(`  Types:    ${Object.entries(byType).map(([t,n])=>`${t}:${n}`).join('  ')}`);
}

console.log(`\n=== Grand Total: ${grandTotal} PLT trajectory tuples ===`);
console.log('Extensible. Add decisions/reflections as the library grows.\n');