import pickle, math, collections, json, sys
segs,texts=pickle.load(open('cache_교각배근도(울산P1)_2016.10.28.dxf.pkl','rb'))
def dots(x0,x1,y0,y1,maxlen=40,lay=None):
    S=[s for s in segs if x0<=s[0][0]<=x1 and y0<=s[0][1]<=y1 and x0<=s[1][0]<=x1 and y0<=s[1][1]<=y1 and math.hypot(s[0][0]-s[1][0],s[0][1]-s[1][1])<maxlen and (lay is None or s[3] in lay)]
    # grid-hash union-find on endpoints
    key=lambda p:(round(p[0]/0.5),round(p[1]/0.5))
    par={}
    def f(a):
        while par.setdefault(a,a)!=a:
            par[a]=par[par[a]]; a=par[a]
        return a
    for a,b,c,l in S:
        ka,kb=key(a),key(b)
        par[f(ka)]=f(kb)
    comp=collections.defaultdict(list)
    for a,b,c,l in S:
        comp[f(key(a))].append((a,b,l))
    out=[]
    for k,L in comp.items():
        xs=[p[0] for a,b,l in L for p in (a,b)]; ys=[p[1] for a,b,l in L for p in (a,b)]
        w=max(xs)-min(xs); h=max(ys)-min(ys)
        out.append((round((max(xs)+min(xs))/2,1),round((max(ys)+min(ys))/2,1),round(w,1),round(h,1),len(L),L[0][2]))
    return out
if __name__=='__main__':
    D=dots(6700,14250,-285300,-282700)
    print(len(D)); 
    c=collections.Counter((d[2],d[3],d[4]) for d in D); print(c.most_common(10))
    for d in sorted(D,key=lambda d:(d[1],d[0]))[:10]: print(d)