vpp-ai-platform/skills-py/scripts/generate_models.sh
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

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#!/usr/bin/env bash
# Regenerates skills-py/vpp_contracts from contracts/schema (ADR-0002).
# Generated files are committed but NEVER hand-edited.
set -euo pipefail
cd "$(dirname "$0")/.."
datamodel-codegen \
--input ../contracts/schema \
--input-file-type jsonschema \
--output vpp_contracts \
--output-model-type pydantic_v2.BaseModel \
--target-python-version 3.11 \
--use-standard-collections \
--disable-timestamp
echo "models regenerated in skills-py/vpp_contracts"