import json, subprocess, sys, re
F = r"D:\★Pier 자료\심수석님 검토 파일\검토_산외교P1\교각배근도(울산P1)_2016.10.28.dxf"
T = json.load(open('sw_texts.json', encoding='utf-8'))
rowy = {}
for x, y, l, t, h in T:
    if l.startswith('CS-TABL') and abs(x - 97922) < 5 and re.match(r'^[A-Z]{1,2}\d+$', t.strip()):
        rowy[t.strip()] = y
jobs = []
for mk, y in rowy.items():
    jobs.append(('row_%s' % mk, 97400, 117600, y - 150, y + 150, 2000))
jobs.append(('row_head400', 97400, 117600, -265300, -264850, 2000))
jobs.append(('row_head500', 97400, 117600, -275300, -274850, 2000))
cols = [(5, 331), (331, 657), (658, 984)]
rows = [(117, 361), (361, 606), (606, 851), (851, 1096)]
names = [['I', 'II', 'III'], ['IV', 'V', 'VI'], ['VII', 'VIII', 'IX'], ['X', 'XI', 'XII']]
for ri, rr in enumerate(rows):
    for ci, cc in enumerate(cols):
        x0 = 118500 + cc[0] * 12.248
        x1 = 118500 + cc[1] * 12.248
        y1 = -264000 - rr[0] * 12.25
        y0 = -264000 - rr[1] * 12.25
        jobs.append(('shape_%s' % names[ri][ci], x0, x1, y0, y1, 900))
jobs.append(('coupler_tab', 108000, 114600, -285300, -282500, 1500))
jobs.append(('coupler_cnt', 108000, 114600, -285200, -284300, 1500))
for name, x0, x1, y0, y1, w in jobs:
    subprocess.run([sys.executable, '-I', 'fastrender.py', F, str(x0), str(x1), str(y0), str(y1), 'sw_crops/%s.png' % name, str(w), 'dark'], check=True, stdout=subprocess.DEVNULL)
print(len(jobs), sorted(rowy)[:5])