aws-samples / aws-samples/sample-autonomous-cloud-coding-agents
feat(testing): property-based tests for validation, numeric utils, and Cedar determinism (CA-02)
- 主要言語
- TypeScript
- スター
- 143
- フォーク
- 46
- 平均マージ
- 3日 10時間
- マージ済み PR(30日)
- 24
説明
> **This is a finding from https://github.com/krokoko/cairn** (action item **CA-02**).
### Component
API or orchestration / Agent (Python runtime)
### Describe the feature
Add **property-based tests** (`fast-check` for TypeScript, `Hypothesis` for Python) for the exactly-verifiable surfaces of the codebase:
- **Validation / bounds** (`cdk/src/handlers/shared/validation.ts`, `numeric.ts`) — generators **driven from `contracts/constants.json`** so the oracle cannot rot when bounds change. Assert: in-range values accepted, out-of-range rejected, normalization is idempotent (`normalize(normalize(x)) == normalize(x)`), parse↔serialize round-trips, monotonic clamping.
- **Numeric / timestamp utils** — round-trip and monotonicity properties.
- **Cedar decision determinism** — decision invariant under attribute reordering; deny overrides permit; unknown action → default deny (complements the existing `contracts/cedar-parity/` differential golden suite).
Mirror the validation properties in Python with Hypothesis where the agent re-validates input.
### Use case
The validation/bounds and numeric suites today assert **hardcoded expected values** duplicated from `contracts/constants.json`. This is an oracle-rot risk: when a bound changes in `constants.json`, the hardcoded expectations silently drift and the suite proves nothing. Property-based testing replaces brittle example-based oracles with invariants derived from the single source of truth, and is the cheapest high-leverage oracle for the deterministic, "exactly-verifiable" surfaces. This also closes AI009 (happy-path-only coverage) on these surfaces.
### Proposed solution
1. Add `fast-check` as a dev dependency to `cdk` (and `cli` where `format.ts` warrants it).
2. For each bounded field, load the bound from `contracts/constants.json` and generate values inside/outside the range, asserting accept/reject.
3. Assert normalization idempotence and parse↔serialize round-trips.
4. Add `Hypothesis` to `agent/` and mirror the validation properties where the agent re-validates.
5. Add a permutation property for Cedar decision determinism alongside the existing parity fixtures.
### Acceptance criteria
- [ ] `fast-check` (TS) and `Hypothesis` (Py) are wired into the existing test tasks (`mise //cdk:test`, `mise //agent:test`).
- [ ] Validation/bounds generators read ranges from `contracts/constants.json` — **no** hardcoded bound literals in the property tests.
- [ ] Properties cover: in-range accept, out-of-range reject, idempotent normalize, round-trip serialize.
- [ ] Cedar decision-determinism property added (attribute reordering invariant; unknown action → deny).
- [ ] Tests run in the standard unit lane and pass in CI's required `build` check.
### Other information
Source reports: `readiness-roadmap.md`, `verification-report.md` (Missing Oracles / oracle-rot watch), `verification-strategy.md` (§"Validation / bounds (highest impact-per-effort)"), `ai-smells-gates-report.md` (AI009). Effort: **M**. Depends on CA-01 (coverage floor) landing first. Per ADR-003 this issue needs the `approved` label before work begins.
コントリビューションガイド
調査の方向性
cdk/src/handlers/shared/validation.ts、numeric.ts、contracts/constants.json、および既存の contracts/cedar-parity/ fixtures から始め、mise //cdk:test と mise //agent:test を実行して現在の unit lane を理解します。次に、agent の validation path と既存の Cedar tests を調査します。TypeScript と Python の properties が contract から導出された bounds を使用し、Cedar の determinism がカバーされ、両方の standard test task が必須の build check に合格すれば完了です。
索引モデルが issue の本文から書いたものです。
評価
- 技術スタック
- python, typescript
- 領域
- backend-api-design, testing
- issue の種類
- 機能追加
- 難易度
- 4/5
- 見積もり時間
- 3〜5日
- 活発さ
- 静か
- 明瞭さ
- おおむね明確
- 初心者へのやさしさ
- 42/100