# DECOMPOSITION — runnable-test-suite

## Method

Decompose by **capability boundary**, not by file. Each sub-task is independently
verifiable and independently mergeable. Local-LLM context budget per sub-task:
max 9k tokens peak on this box (32GB RAM, no GPU, `Model: auto`).

## Sub-tasks (3)

### subtask-1: `make-tests-runnable`
**Scope:** pytest install path + `python` → `python3` doc sweep + streak verifier.
**Files touched:** `requirements.txt` (new), `AGENTS.md`, `README.md`,
`automaton/dashboard/README.md`, `prompts/orchestrate.md`, `scripts/install.sh`
(append venv snippet, idempotent), `CHANGELOG.md`.
**Not touched:** `vram_detect.py`, `status.py`, any test logic.
**Acceptance:** `pip3 install -r requirements.txt && python3 -m pytest tests/ -v`
exits 0 from a clean clone; 10 consecutive clean streak; `rg "^python "`
returns zero matches in docs/prompts.
**Peak context estimate:** ~4k tokens (mostly mechanical doc edits). Fits easily.
**Run order:** first. Establishes the green-test baseline the other sub-tasks need.

### subtask-2: `vram-detect-cross-platform`
**Scope:** Make `scripts/vram_detect.py` work on macOS, Windows, Linux without
behavior change on Cachyos/Linux. Pure detection logic — no CLI/JSON-shape changes.
**Files touched:** `scripts/vram_detect.py` only.
**Functions to refactor (by line in current file):**
- `detect_gpu_vram()` (vram_detect.py:73-108): branch on `platform.system()`.
  - Linux: keep `nvidia-smi` → `lspci -vnn` path.
  - macOS: add `system_profiler SPDisplaysDataType` → parse `VRAM (Total)` and
    `Chipset Vendor` (Apple Unified Memory counts as VRAM). Probe
    `ioreg -c IOPlatformDevice` only if `system_profiler` is unavailable.
  - Windows: add `wmic path win32_VideoController get AdapterRAM,Name` (deprecated
    but ubiquitous); fallback to PowerShell
    `Get-CimInstance Win32_VideoController -Property AdapterRAM`. Sum across GPUs.
- `detect_ram()` (vram_detect.py:137-162): branch on `platform.system()`.
  - Linux: keep `/proc/meminfo`.
  - macOS: keep `sysctl -n hw.memsize` (already works as fallback).
  - Windows: add `wmic ComputerSystem get TotalPhysicalMemory`; PowerShell fallback
    `(Get-CimInstance Win32_ComputerSystem).TotalPhysicalMemory`.
- `MODEL_CONTEXT_WINDOWS` (vram_detect.py:24-47): add local-LLM entries:
  `llama-3.1-8b`, `llama-3.3-70b`, `qwen2.5-7b`, `qwen2.5-72b`, `mistral-7b`,
  `mistral-large`, `deepseek-r1`, `deepseek-v3`, `glm-4`, `glm-4.5`, `gemma-2`,
  `gemma-2-27b`, `phi-3`, `phi-4`. Use community-published context sizes.
  No fabricating — every entry must cite the source model card in a comment.
- `detect_model_context()` (vram_detect.py:175-228): add `ollama list` probe when
  no config file specifies a model. Pick the first running model name and look it up.
- `run_command()` (vram_detect.py:54-70): on Windows, route PowerShell cmdlets via
  `powershell -NoProfile -Command "..."` wrapper. Keep `shutil.which` gating.
**Not touched:** test files (those are subtask-3), JSON output shape, CLI args.
**Acceptance on this machine (Darwin):** `python3 vram_detect.py` prints macOS VRAM
(non-zero on Apple Silicon), RAM 32GB, recommends ≥8k target. JSON has
`gpu_vram_gb > 0`. On Linux (CI), output unchanged from current.
**Anti-spin rail:** if a new entry in `MODEL_CONTEXT_WINDOWS` is unknown, fail open
with `0`, do NOT guess. Per SPEC, wrong-context detection is worse than none.
**Peak context estimate:** ~7k tokens (single 536-line file, surgical edits). Fits.
**Run order:** second, parallel-ok with subtask-1 (independent files).

### subtask-3: `vram-detect-cross-platform-tests`
**Scope:** pytest tests proving cross-platform branches without hitting real hardware.
**Files touched:** `tests/test_vram_detect.py` only.
**Patterns:**
- Parametrize `detect_ram` across `Linux`/`Darwin`/`Windows` with `monkeypatch` on
  `platform.system`, `Path.exists`, `subprocess.run`, and `Path.read_text`; assert
  correct KB returned and correct print lines emitted (capfd).
- Parametrize `detect_gpu_vram` with mocked `system_profiler` / `wmic` /
  `nvidia-smi` stdout fixtures (kept as multiline string constants).
- Assert unknown model name returns 0 (fail-open contract from subtask-2).
- Assert `_lookup_model_context` picks the longest matching prefix (so
  `llama-3.1-8b-instruct` matches `llama-3.1-8b`).
- Assert existing Linux/Cachyos path still parses `/proc/meminfo` (regression).
- No live `subprocess` against real `system_profiler`/`nvidia-smi` — every call
  goes through `monkeypatch.setattr`.
**Not touched:** `vram_detect.py` itself, any other source file, any prompt.
**Acceptance:** added tests pass; total suite still 10-streak clean.
**Peak context estimate:** ~5k tokens. Fits.
**Run order:** third, AFTER subtask-2 (depends on its function signatures).

## Dependency graph

```
subtask-1 ─┐
            ├─> parent done
subtask-2 ─┤
            └─> subtask-3 ──> parent done
```

Parent `runnable-test-suite` is complete only when ALL three sub-tasks pass the
streak verifier from the SPEC (10 consecutive clean `python3 -m pytest tests/ -v`).

## Parent non-goals

- No usage of `psutil`, `wmi`, `pywin32`, or other new third-party deps. Pure
  stdlib (`platform`, `subprocess`, `shutil`, `re`, `sys`). Per SPEC constraint #1.
- No regression allowed on Cachyos/Linux output — the original author's box
  must produce identical JSON. Add a Linux-fixture test to lock this in.
- No removal of the `MODEL_CONTEXT_WINDOWS` OpenAI/Anthropic entries — additive only.

## Fallback

If any sub-task hits the captures-skipped-behavior it must report back to the
Orchestrator rather than edit a passing test to make itself happy. That is the
SPEC anti-spin rule (#9 in the article).

## Verifier (the independent eyes inside the loop)

The streak verifier — `python3 -m pytest tests/ -v` × 10 — IS the separate
checker model from the article (#2, Boris's verifier loop). The local LLM does
not grade its own homework: a different invocation runs the suite after each
implement pass and the count resets on any non-zero exit.