ahnyongjooandClaude Sonnet 5.5
964a841de1
- 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>
36 lines
1.9 KiB
Python
36 lines
1.9 KiB
Python
import sys; sys.path.insert(0,".")
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import collections, math, io, json, numpy as np, pickle
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sys.path.insert(0,'pylib')
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from swdots import dots
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o=io.open('swcol2.txt','w',encoding='utf-8')
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def fit(pts):
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A=np.array([[2*x,2*y,1] for x,y in pts]); b=np.array([x*x+y*y for x,y in pts])
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s=np.linalg.lstsq(A,b,rcond=None)[0]; cx,cy=s[0],s[1]; r=math.sqrt(s[2]+cx*cx+cy*cy); return cx,cy,r
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for nm,(y0,y1) in (('C-C',(-271000,-262500)),('D-D',(-279500,-271500)),('E-E',(-287500,-279500))):
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D=[d for d in dots(31500,37500,y0,y1,maxlen=60) if d[2]==22.5 and d[3]==22.5]
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pts=[(d[0],d[1]) for d in D]
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cx,cy,r=fit(pts)
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rr=[math.hypot(x-cx,y-cy) for x,y in pts]
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ang=sorted(math.degrees(math.atan2(y-cy,x-cx))%360 for x,y in pts)
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o.write(u'%s 점 %d 중심 (%.1f, %.1f) 반지름 평균 %.1f (min %.1f max %.1f)\n'%(nm,len(pts),cx,cy,r,min(rr),max(rr)))
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# 반지름 분포 군집
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c=collections.Counter(round(v/10)*10 for v in rr); o.write(u' 반지름 군집 %s\n'%sorted(c.items()))
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# 모델 P1/P2 중심선 반지름
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import rhino3dm
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m3=rhino3dm.File3dm.Read(r"D:\★Pier 자료\심수석님 검토 파일\검토_산외교P1\산외교P1 G5.3dm")
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R=collections.defaultdict(list)
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for ob in m3.Objects:
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g=ob.Geometry
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if isinstance(g,rhino3dm.Brep) or not hasattr(g,'PointAtStart'): continue
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us=dict(ob.Attributes.GetUserStrings()); mk=us.get('mark')
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if mk in ('P1','P2','P3','P4','P5'):
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try:
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n=40
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dom=(g.Domain.T0,g.Domain.T1)
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for i in range(n+1):
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p=g.PointAt(dom[0]+(dom[1]-dom[0])*i/n); R[mk].append((p.X,p.Y,p.Z))
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except Exception as e: pass
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for mk,L in sorted(R.items()):
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rs=np.array([math.hypot(x,y) for x,y,z in L]); zs=np.array([z for x,y,z in L])
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o.write(u'모델 %s 점 %d: r min %.1f median %.1f max %.1f, z %.0f~%.0f\n'%(mk,len(L),rs.min(),np.median(rs),rs.max(),zs.min(),zs.max()))
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