homemaker-layout/README.md
Bruno Postle e68bfe53e5 Fix parity gap: oracle.py must run with URB_NO_OCCLUSION=1
Python fitness always pins quality_daylight to 1.0 (URB_NO_OCCLUSION semantics),
but oracle.py was invoking urb-fitness.pl without the flag, causing outside leaves
to receive real sun-model daylight scores and producing a ~9% gap.

Changes:
- oracle.py: add URB_NO_OCCLUSION=1 to score_batch env
- oracle.py: Score.fail_lines now parses structured YAML failures from the
  llm-agent-mcp branch and converts them to plain-text equivalents, so
  parity tests can compare oracle vs native failure sets regardless of format
- Regenerated all 36 corpus .score/.fails files with URB_NO_OCCLUSION=1
  (no .score files are tracked in git; the script generates them locally)
- All 183 tests pass; closes homemaker-py-gpx

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-17 18:40:56 +01:00

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2.3 KiB
Markdown

# homemaker-layout
Programme-driven building-layout search over slicing trees. A clean-room Python
successor to the Perl [Urb](../urb) project, intended to eventually be 100% Python.
## Why a rewrite
Urb represents a building as a binary slicing tree where room sizes are derived
**top-down** from division ratios. That makes room area an emergent property of
every cut above it, which:
- gives the genome low locality (a cut near the root rescales every descendant),
- makes target room sizes nearly impossible to hit, so the gaussian size penalty
dominates fitness, and
- defeats crossover (transplanted subtrees lose their proportions).
homemaker inverts this: leaves carry **target dimensions** from the programme and
division ratios are **solved bottom-up** for a fixed topology. The evolutionary
search then only explores topology + types + adjacency.
## Phase plan
1. ~~Solver experiment: port Urb's geometry, re-solve ratios from programme
targets, score the result against the original via the Perl oracle.~~ ✓
2. ~~Native Python fitness (retire the Perl oracle).~~
3. **Memetic search** (current): canonical slicing genome + high-locality
operators + Nelder-Mead inner loop.
## Layout
- `src/homemaker_layout/dom.py` — read/write Urb `.dom` YAML into a `Node` tree.
- `src/homemaker_layout/geometry.py` — faithful port of Urb's top-down geometry.
- `src/homemaker_layout/programme.py` — parse `patterns.config` space requirements.
- `src/homemaker_layout/solver.py` — bottom-up ratio solve (scipy).
- `src/homemaker_layout/fitness.py` — native Python fitness evaluator.
- `src/homemaker_layout/fitness_cmd.py``homemaker-fitness` CLI (drop-in for `urb-fitness.pl`).
- `src/homemaker_layout/graph.py` — leaf-adjacency graph for programme-driven checks.
- `src/homemaker_layout/genome.py` — topology genome: base-floor tree + per-storey deltas.
- `src/homemaker_layout/operators.py` — high-locality mutation and subtree crossover.
- `src/homemaker_layout/innerloop.py` — ratio optimisation inner loop (Nelder-Mead / CMA-ES).
- `src/homemaker_layout/driver.py` — memetic search outer loop.
- `src/homemaker_layout/evolve.py``homemaker-evolve` CLI entry point.
- `src/homemaker_layout/oracle.py` — legacy Perl shim, kept for cross-validation only.