feedme 0.2.0

Deterministic streaming data pipeline with mechanical guarantees for Rust
Documentation
# PPT + Invariant Testing Doctrine


This is a copy of the doctrine from the local file `ppt_invariant_guide.md` (Downloads) so it’s versioned alongside the rest of the project documentation.

---

# Unified Guide: PPT + Invariant Testing System for AI-Assisted and Complex Projects


This guide provides a lightweight, enforceable, and extensible framework that combines **Predictive Property-Based Testing (PPT)** with **runtime invariant enforcement**. It's designed for teams or solo devs working in high-churn, AI-assisted, or exploratory projects that still demand test rigor and architectural discipline.

---

## Core Concept


Traditional TDD fails under high-change systems. This system embraces volatility by:

1. **Focusing on Properties**, not implementations.
2. **Embedding Invariants** directly into business logic.
3. **Automating Test Lifecycle** to prevent test bloat.
4. **Tracking Invariant Coverage** to enforce contract-level guarantees.

---

## Layered Test System Overview


| Layer  | Description                                    | Enforced With                  |
| ------ | ---------------------------------------------- | ------------------------------ |
| E-Test | Exploration (temporary)                        | `explore_test()` or free tests |
| P-Test | Property test (generic input, stable behavior) | `property_test()` + invariants |
| C-Test | Contract (permanent, must-pass)                | `contract_test()` + tracking   |

---

## Invariant System Summary


### Define Invariants in Code


```rust
assert_invariant(payment.amount > 0, "Payment must be positive", Some("checkout flow"));
```

- **Logs the assertion**
- **Crashes on violation**
- **Records presence** for later contract checks

### Track Them in Contract Tests


```rust
contract_test("payment processing", &["Payment must be positive"]);
```

### Reset Between Runs (Optional CI Cleanup)


```rust
clear_invariant_log();
```

---

## How It Guides AI or Human Developers


- **Invariant Failures** give immediate semantic feedback.
- **Property Tests** ensure robustness across inputs.
- **Contract Tests** enforce that critical rules are still checked after refactors or codegen.
- **No test passes unless the real-world expectations are still actively enforced.**

---

## Setup and Tooling (Rust)


### Add Dependency


```toml
# Cargo.toml

[dependencies]
lazy_static = "1.4"
```

### Include System


```rust
mod invariant_ppt;
use invariant_ppt::*;
```

### Suggested File Layout


```
src/
  invariant_ppt.rs
  logic.rs
  tests/
    mod.rs
    test_properties.rs
    test_contracts.rs
```

---

## Expansion Ideas


- **CI contract coverage audit**: fail if key invariants are missing.
- **Property test fuzzing**: integrate with proptest/quickcheck.
- **Cross-language parity**: reuse concept in TS, Python, Go.
- **IDE plugins**: mark critical paths without invariants.

---

## Why Use This


- Forces you to **define real expectations**, not just examples.
- Helps AI systems learn and conform to those expectations.
- Protects your system’s **semantic integrity during rapid iteration**.
- Eliminates “silent failure” drift across modules.

---

## Minimal Startup Checklist


-

---

**Status: Production-ready base. Expandable to full verification model.**