import json,re,io
S=json.load(open('ok_shapes.json',encoding='utf-8'))
Mo=json.load(open('ok_model_dims.json',encoding='utf-8'))
T=json.load(open('ok_texts.json',encoding='utf-8'))
# 표
rows={}
for x,y,l,t,h in T:
    if l!='CS-TABL-TEX2' or not(324000<y<340000) or x<715000: continue
    rows.setdefault(round(y/10),{})[round(x)]=t.strip()
tab={}
for y in sorted(rows,reverse=True):
    r=rows[y]
    if 715129 in r and re.match(r'^[A-Z]{1,2}\d+$',r[715129]):
        tab[r[715129]]={'dia':r.get(715879),'L':float(r[717004])*1000,'n':int(r[717629]),'tot':float(r[719004])}
json.dump(tab,open('ok_table.json','w',encoding='utf-8'),ensure_ascii=False)
def mm(s):
    s=s.strip()
    out=[]
    for p in s.split('~'):
        p=re.sub(r'[^\d.]','',p)
        if not p: continue
        v=float(p); out.append(v*1000 if '.' in p and v<100 else v)
    return out
D={}
for e in S:
    if e['mark'] in D: continue
    D[e['mark']]=e
o=io.open('ok_analysis.txt','w',encoding='utf-8')
for mk,t in tab.items():
    m=Mo.get(mk)
    if not m:
        o.write(u'%s 모델 없음 table n=%d L=%.0f\n'%(mk,t['n'],t['L'])); continue
    n=m['n']//(2 if mk in('P3','P4') else 1)
    dl=m['dl']; mean=sum(dl)/len(dl)
    if mk in ('P3','P4'): mean*=2
    tot=sum(dl)/1000.0
    if mk in ('P3','P4'): pass
    line=u'%s n 표%d/모델%d L 표%.0f 모델평균%.0f(min%.0f max%.0f) 총 표%.3f 모델%.3f'%(mk,t['n'],n,t['L'],mean,min(dl)*(2 if mk in('P3','P4') else 1),max(dl)*(2 if mk in('P3','P4') else 1),t['tot'],tot)
    d=D.get(mk)
    if d:
        miss=[]
        vals=m['values']
        for s in d['dims']:
            k,_,v=s.partition('=')
            k=k.strip()
            if k in('j','r','d') and False: continue
            if k.startswith('j') or k.startswith('x'): continue
            for val in mm(v):
                if not any(abs(val-q)<=3 for q in vals): miss.append('%s=%s'%(k,v))
        line+=u' | 도면 %s | 모델값 %s | 못 찾음 %s'%(' '.join(d['dims']), m['values'][:14], miss)
    o.write(line+u'\n')