vpp-ai-platform/packages/domain/scripts/export-schemas.ts
stewart hu f681e134cc M1: domain schemas, contracts pipeline, ledger and snapshot services
- packages/domain: zod schemas for the 07-scenario object set with a
  schemaRegistry driving schema export, fixture generation, and Python
  module naming; decimal-string/sha256/curve primitives enforce the
  docs/11 §3.3 representation rules at the type layer
- contracts/: 12 JSON Schemas (draft 2020-12), 12 golden fixtures, 3
  invalid fixtures crafted to fail on both sides (float money, bad
  digest, missing concurrency version)
- skills-py: generated pydantic models (committed, never hand-edited),
  regeneration script, mirror pytest using JSON-mode validation —
  dual-side contract tests agree on all 15 fixtures
- packages/services: content-addressed immutable snapshot store
  (memory + fs, rejects floats), LedgerService v1 with optimistic
  concurrency and the P7 constraint cascade (monthly position bounds
  day-ahead bids; no-anchor bids rejected), quality-gate stub
- cascade band shape is an OPEN-QUESTION A5 placeholder (pro-rata
  daily share ±band) — see ledger.ts checkCascade

All green: tsc typecheck, 41 TS tests, 15 Python tests.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019u5SLNweVio6ozJX7yfxQr

🔮 View transcript: https://logs.lojong.info/s/e8u90k3t33w590r7b5y7yzqh
2026-09-01 21:50:22 -04:00

23 lines
1004 B
TypeScript

/**
* Exports every registry schema to contracts/schema/<name>.json (JSON Schema,
* draft 2020-12). These committed files are the neutral cross-language contract
* (ADR-0002); the Python side generates pydantic models from them.
*/
import { mkdirSync, writeFileSync } from 'node:fs'
import { fileURLToPath } from 'node:url'
import { z } from 'zod'
import { schemaRegistry } from '../src/index.js'
const outDir = fileURLToPath(new URL('../../../contracts/schema/', import.meta.url))
mkdirSync(outDir, { recursive: true })
const pascal = (s: string) => s.split('_').map((w) => w[0]!.toUpperCase() + w.slice(1)).join('')
for (const [name, schema] of Object.entries(schemaRegistry)) {
const json = z.toJSONSchema(schema) as Record<string, unknown>
json['$id'] = `https://vpp-ai-platform/contracts/${name}.json`
json['title'] = pascal(name) // becomes the pydantic class name
writeFileSync(`${outDir}${name}.json`, JSON.stringify(json, null, 2) + '\n')
console.log(`exported ${name}.json`)
}