- Code\rebar_pipeline, review_pipeline, pier-program을 정션에서 실제 폴더로 전환 - Code\rhino_mcp 및 CLAUDE_rhino배경.md 추가, .mcp.json은 PYTHONPATH로 새 위치 사용 - pier-program 내부 .git 제거(이력은 backup\pier-program_20261028.bundle에 보관) - worktree 가이드 반영(CLAUDE.local.md, HANDOFF.md) - D:\Rhino-MCP 경로 참조를 새 위치로 치환 Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
18 lines
1.1 KiB
Markdown
18 lines
1.1 KiB
Markdown
# DWG deployment runtime
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The Linux/amd64 image includes LibreDWG **0.11.3876**, the same decoder
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version/package as the local host. Geometry/rebar generation code is unchanged.
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The build downloads a fixed conda-forge artifact and verifies its SHA-256 before
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installing only dwg2dxf, its shared library, GPL license and source metadata.
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The runtime does not depend on a host PC path or install Conda/Python bindings.
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- License: GPL-3.0-or-later, installed at `/opt/libredwg/licenses/COPYING`.
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- Corresponding upstream source: https://github.com/LibreDWG/libredwg/releases/download/0.11.3876/libredwg-0.11.3876.tar.gz
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- Source SHA-256: `ba65e77adb3099bec9f8f6c2ec2c6d97457a148be0a485d7fd3c00679f332e52`.
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- Package recipe and source references: `/opt/libredwg/licenses/package-source.yaml`.
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Run the existing private `deploy-server.bat` on the deployment server again.
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It fast-forwards the clean clone and rebuilds the image. Existing named model
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and AI-auth volumes remain in place. This is not automatic deployment on push.
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DWG conversion success is not full drawing/model approval.
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