Files
acdl/schemas/README.md
T
Jon Chery d5bae868a4 feat(P2): Nova rebrand — code/env-vars/consumer-path (REQ-158/159/160)
core/env.py dual-read helper (D-108); 21 ACDL_*→NOVA_* env vars migrated
across core/scripts/adapters/tests/workflows + .env/.env.secrets (key
rename, values stay). G-106 binding: run_platform.sh:288-289 +
regression_verify.py:309-312 dual-read (NOVA first, ACDL fallback).
G-108 binding: Gitea NOVA_* secrets created via API + workflow secrets:
refs updated (deploy.yml + modules-lifecycle.yml, .gitea + .github).
acdl_tagging.py→nova_tagging.py (D-109 warn mode, nova:* enforced).
.acdl/→.nova/ consumer path (resolver + deploy workflow + schema +
tests + docs). Test fixtures updated; pytest + run_ci.sh PASS.

---ci---
project: acdl
phase: 2
milestone: v1.15
status: execute
---/ci---
2026-07-30 01:25:24 +00:00

58 lines
4.5 KiB
Markdown

# Nova Schemas
## Overview
Nova uses JSON Schema draft 2020-12 for all declarative contracts. Schemas are the single source of truth for validation. Every contract, stack instance, pipeline, and policy result in the platform is validated against a schema in this directory before it is consumed by any downstream code path. The resolver, the pipeline runner, the CI workflows, and the test suite all load these schemas directly.
## Existing Schemas
| Schema | File | Purpose | Where Validated |
| --- | --- | --- | --- |
| Nova Consumer Contract | `contract.schema.json` | Consumer contract validation (id, name, environment, infrastructure map with module versions + inputs) | `core/contract_resolver.py`, `scripts/run_platform.sh` Step 1, CI `schema-validation` job |
| Nova Target Stack | `stack.schema.json` | Target Stack instance validation (resources, relationships, composition tree, NFRs) | `core/contract_resolver.py` (post-resolution), `tests/conftest.py` |
| Nova Central Pipeline Contract | `pipeline.schema.json` | Central CI pipeline contract (stages, commands, triggers, runner) | `tests/test_pipeline_contract.py` |
| Nova Central Deployment Pipeline Contract | `deploy-pipeline.schema.json` | Central deploy pipeline contract (validate → resolve → plan → checkov → confidence → apply → publish → uptime → comment) | `tests/test_pipeline_contract.py` |
| Nova PolicyCheckResult | `policy_check_result.schema.json` | Normalized policy check result schema (the contract between policy engines and the confidence signal) | `tests/conftest.py`, all adapter tests |
| Nova Tagging Standard | `tagging-standard.json` | Required tag set for all taggable AWS resources | `adapters/terraform/policy/custom_rules/nova_tagging.py` |
## How to Write a Schema
1. Use JSON Schema draft 2020-12: `"$schema": "https://json-schema.org/draft/2020-12/schema"`.
2. Set `$id` to `https://nova.cloudinit.dev/schemas/<name>.schema.json`.
3. Include `title` and `description` at the document root.
4. Set `type: object` at the document root.
5. Declare a `required` array listing the mandatory top-level property names.
6. Define `properties` with explicit `type`, `pattern`, `enum`, and `description` for every field.
7. Use `$defs` for reusable sub-schemas (e.g. resource definitions, input maps) and `$ref` them from the main document.
## How to Wire a Schema into the Platform
- **Contract validation** — load the schema in `core/contract_resolver.py` and in `scripts/run_platform.sh` Step 1 (`validate-contract`).
- **Stack validation** — load the schema in `core/contract_resolver.py` after the contract is resolved to a stack instance.
- **Pipeline validation** — load the schema in `tests/test_pipeline_contract.py`, which validates `pipelines/ci.yml` and `pipelines/contract.yml`.
- **Module interface validation** — structural checks in `.github/workflows/platform-test.yml` (`schema-validation` job) that validate each module's `interface.json` / `composition.json`.
- **Policy result validation** — the schema is loaded as a fixture in `tests/conftest.py` and reused by every adapter test to validate emitted `PolicyCheckResult` records.
## Dependencies
- `jsonschema` (Python) — installed via `requirements-test.txt`.
- `pyyaml` — for YAML contract loading (`core/contract_resolver.py`, `scripts/run_platform.sh`, tests).
## How to Test Schemas in CI
- `tests/test_pipeline_contract.py` — validates the pipeline schemas and asserts workflow conformance (byte-identical Gitea/GitHub workflows, same stages/commands/triggers).
- `tests/conftest.py` — provides `stack_schema` and `policy_check_result_schema` fixtures for reuse across the test suite.
- `.github/workflows/platform-test.yml` `schema-validation` job — self-validates every schema in `schemas/` (each schema is loaded and meta-validated), validates module interfaces, and validates example contracts.
## Where to Write Tests
- `tests/test_<schema_name>.py` for schema-specific tests (e.g. `tests/test_contract_schema.py`).
- Extend `tests/test_pipeline_contract.py` for pipeline-schema changes.
- Module interface validation lives in the CI workflow (`.github/workflows/platform-test.yml`).
## Adding a New Schema
1. Create `schemas/<name>.schema.json` using the draft 2020-12 conventions above.
2. Add it to the CI validation glob in `.github/workflows/platform-test.yml` (`schema-validation` job).
3. Write a test in `tests/test_<name>.py` that loads the schema and validates representative valid/invalid documents.
4. Wire it into the consuming code path (resolver, script, or test) so it is enforced at runtime.