v0.3.1: bounded exact cut-list search, cost-first ranking, output-contract docs - #7
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Add steel-cutlist, a deterministic 1D bar-nesting engine for long products (beams, HSS, angles, pipe) that packs required member lengths onto purchasable mill lengths with explicit kerf and end-trim allowances. - Strategy portfolio per designation+grade group: mixed-stock greedy plus each single-stock-length restriction, ranked by unplaced count, total stock length, known cost, then bar count. - Independent post-placement verification (overcommitment, material mismatch, duplicate or missing instances) gates publication. - Weights resolve from explicit plf or the bundled AISC database; unknown weights surface as warnings, never silent zeros. - Publishes manifested runs: bar diagrams, purchase summary, drop candidates, rfq_linear.json handoff, and a cutting_list.csv emitted only for verified fully placed runs. - Register cutlist_partial/cutlist_verified package statuses and add a versioned cutlist-result schema. Co-Authored-By: Claude <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MquyTzVAPKpV1V8Vt3XxnJ
Wire the steel-cutlist engine into the review-gated estimate pipeline and carry its results into the draft RFQ workbook. - Member items (designation + length, no plate geometry) now optimize onto configurable mill lengths (--mill-lengths-ft, default 40,50,60) with cut-list kerf, end-trim, and drop-threshold settings. - Cut-list validation errors, verifier findings, and unplaced members gate the pipeline exactly like nest blockers; a member longer than every mill length blocks the run as cutlist_partial. - Ready runs publish cutlist-result.json, rfq-linear.json, a verified cutting_list.csv, and reference bar diagrams alongside the nest artifacts. - The RFQ compiler accepts a validated linear handoff (--linear on the standalone CLI) and renders a LINEAR STOCK / CUT-LIST REFERENCE section, with staleness checks against the estimate identity. Co-Authored-By: Claude <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MquyTzVAPKpV1V8Vt3XxnJ
- Add CHANGELOG.md with dated release history from the git record. - README: cut-list section, skill table row, workflow diagram, prompts. - steel-estimate and steel-rfq SKILL.md document the cut-list stage and the --linear handoff; steel-nest description defers long products to steel-cutlist to keep trigger boundaries unambiguous. - Bump package and runtime versions to 0.3.0 and ship CHANGELOG.md in the npm package. Co-Authored-By: Claude <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MquyTzVAPKpV1V8Vt3XxnJ
- A negative member quantity now records its finding and publishes a structured blocked run instead of crashing instance expansion. - Members without a grade are excluded from pipeline cut-list optimization with an explicit warning, restoring the pre-cutlist review_required outcome instead of hard-blocking the estimate. - Blocked runs report verification.status 'not_run' rather than claiming a verification that never executed; schema updated. - rfq_linear rows carry their own stock group's utilization instead of the job-wide blend. - --mill-lengths-ft rejects non-finite entries as a usage error and no longer double-wraps its own failure message. - Display formatting is decimal-exact, so cutting_list.csv preserves sixteenth-inch lengths instead of rounding at six significant digits. - Deduplicate is_sha256, missing_optional_modules, and normalize_designation into the shared pi_steel package; nest, takeoff, and cutlist now share one copy. - Hoist the placed-instance set out of the per-unplaced-row loop. Co-Authored-By: Claude <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MquyTzVAPKpV1V8Vt3XxnJ
Extend the estimate-package contract with stock_form 'linear' entries so vendor lengths and on-hand sticks flow into cut-list optimization. - Schema: additive linearStock variant (designation, grade, length_ft, quantity, optional unlimited for purchasable supply, and the same hash-bound reviewer_confirmation as plate stock). - Validation: unlimited on-hand linear stock is a blocker; new eligible_on_hand_linear_stock and linear_purchasable_stock helpers mirror the plate gating. - Engine: stock entries carry stock_kind; on-hand stock must be finite and carries no cost basis, reports as cost_basis 'on_hand', and never degrades cost-known status. The portfolio now ranks by purchased length first (on-hand consumption is free), then known cost, purchased bars, and total length, so confirmed sticks eliminate purchases whenever they genuinely can. - Pipeline: declared purchasable linear lengths replace the default mill lengths for their designation+grade group; confirmed on-hand sticks join as finite inventory; plate nesting skips linear entries. - Purchase summaries, rfq_linear rows, bar reports, and the text report label on_hand rows explicitly. Co-Authored-By: Claude <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MquyTzVAPKpV1V8Vt3XxnJ
The full-render smoke caught two problems with the cut-list additions: - cutting_list.csv was published with geometry_verified readiness even when the overall run was review_required (e.g. irregular plate geometry), breaking the invariant that non-ready runs carry no verified-authority artifacts. The verified cutting list now requires the whole run to be ready, mirroring burn-DXF suppression, with a base-tier regression assertion. - The workbook PDF page-count assertions assumed one total page, but the linear reference section grows the sheet and pagination varies by LibreOffice version (24.2 renders one page where CI renders two). The smoke test now asserts the actual contract: uniform page width (one page wide), all words within their own page bounds, document-order section ordering across pages, page-1 logo bounds, and a sanity cap on total pages. Co-Authored-By: Claude <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MquyTzVAPKpV1V8Vt3XxnJ
- Reject non-boolean 'unlimited' values with an invalid_unlimited_flag finding instead of coercing truthy strings into unlimited supply, which could understate purchase requirements. - Include stock_kind in generated stock identities so anonymous on-hand and purchasable rows of the same designation, grade, and length no longer collide as duplicates. - README: list channels and tube among supported cut-list member types, matching the changelog. Co-Authored-By: Claude <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MquyTzVAPKpV1V8Vt3XxnJ
Co-Authored-By: Claude <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MquyTzVAPKpV1V8Vt3XxnJ
- Small designation+grade groups (up to 12 pieces) now run a deterministic branch-and-bound search over complete bar assignments, seeded and pruned by the portfolio rank with a fixed node budget; it only ever replaces the greedy plan with a strictly better one. On the classic best-fit-decreasing failure (5,5,4,4,3,3,3,3 onto capacity 10) it finds the 3-bar optimum where the greedy needs 4. - The ranking objective is now economically honest: when every stock entry in a group carries a known cost basis, lowest purchase cost decides before purchased length (buying cheaper beats buying shorter); unpriced groups keep the least-purchased-length objective. Without prices, the exact search finds a 230 ft plan on the reference case where the greedy bought 240 ft. - output-contract.md documents cutlist artifacts and cutlist_partial; the estimate-package example gains member items and vendor linear stock; version 0.3.1. Co-Authored-By: Claude <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MquyTzVAPKpV1V8Vt3XxnJ
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📝 WalkthroughWalkthroughThe cut-list engine now uses bounded exact optimization for groups of up to 12 units and revised cost or length ranking. Documentation, examples, tests, and package metadata were updated for version 0.3.1. ChangesCut-list optimization
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🟡 Moderate · up to The new exact search can keep a worse cut plan when some pieces cannot all be placed, leaving more material unassigned even though a better partial plan exists. This is a concrete correctness risk, so the PR is not merge-ready until partial placements are handled and covered by a regression test. Sequence Diagram(s)sequenceDiagram
participant _solve_group
participant PortfolioStrategies
participant BranchAndBoundSolver
participant _rank_solution
_solve_group->>PortfolioStrategies: Generate candidate placements
PortfolioStrategies->>_rank_solution: Rank portfolio candidates
_solve_group->>BranchAndBoundSolver: Refine groups up to 12 units
BranchAndBoundSolver->>_rank_solution: Compare exact and portfolio results
_rank_solution-->>_solve_group: Return the better solution
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches 💡 1📝 Generate docstrings 💡
🧪 Generate unit tests (beta)
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In `@skills/steel-cutlist/scripts/cutlist.py`:
- Around line 681-724: Update _exact_solve_group’s descend search to include a
branch that skips the current placeable unit and increments the actual unplaced
count. Pass that count through recursive states and use it when building
solution rankings, while retaining placement branches unchanged. Adjust
primary_bound pruning so states capable of reducing unplaced units are not
eliminated solely due to higher purchase cost or remaining length. Add a
regression test covering two 10-inch bars with units 8, 6, 4, 4, 4 and verify
the solution leaves only the 8-inch unit unplaced.
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CHANGELOG.mdREADME.mdpackage.jsonpyproject.tomlskills/steel-cutlist/SKILL.mdskills/steel-cutlist/scripts/cutlist.pyskills/steel-estimate/references/estimate-package-example.jsonskills/steel-estimate/references/output-contract.mdtests/test_cutlist_engine.py
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The branch-and-bound now branches over leaving each piece unplaced (stock_exhausted) in addition to every placement, so when finite stock cannot hold everything it finds the partial plan stranding the fewest members instead of falling back to the greedy's weaker cut. Pruning compares (unplaced, primary objective) lexicographically — both grow monotonically along a path — and the never-worse guarantee is unchanged. Adds docstrings to the search internals and a regression test where the greedy strands three pieces but the optimum strands two. Co-Authored-By: Claude <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MquyTzVAPKpV1V8Vt3XxnJ
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The merge-risk note about partial placements was a fair catch — the exact search previously required complete assignments and fell back to the greedy when finite stock couldn't hold everything, missing better partial plans. Pushed a fix: the branch-and-bound now branches over leaving each piece unplaced ( The docstring-coverage warning is also addressed — the search internals now carry docstrings. Generated by Claude Code |
Two capacity-10 bars with pieces 8,6,4,4,4: the exact search strands only the 8 where the greedy stranded two 4s. Co-Authored-By: Claude <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MquyTzVAPKpV1V8Vt3XxnJ
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Aug 23, 2026
Co-Authored-By: Claude <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MquyTzVAPKpV1V8Vt3XxnJ
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Summary
Follow-up to #6: measurably better cut plans and the remaining documentation debt.
Bounded exact search
Economically honest ranking
Docs
output-contract.mdnow documentscutlist-result.json,rfq-linear.json, the ready-onlycutting_list.csv, and thecutlist_partialstatus.readythrough the pipeline.Test plan
npm run release:check.🤖 Generated with Claude Code
https://claude.ai/code/session_01MquyTzVAPKpV1V8Vt3XxnJ
Generated by Claude Code
Summary by CodeRabbit
New Features
Bug Fixes
Documentation