Update README.md
Browse files
README.md
CHANGED
|
@@ -1,281 +1,144 @@
|
|
| 1 |
```
|
| 2 |
-
import
|
| 3 |
-
import
|
| 4 |
-
from
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
|
| 22 |
-
|
| 23 |
-
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
|
| 28 |
-
|
| 29 |
-
|
| 30 |
-
|
| 31 |
-
|
| 32 |
-
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
|
| 36 |
-
|
| 37 |
-
|
| 38 |
-
|
| 39 |
-
|
| 40 |
-
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
|
| 44 |
-
|
| 45 |
-
|
| 46 |
-
|
| 47 |
-
|
| 48 |
-
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
|
| 52 |
-
|
| 53 |
-
|
| 54 |
-
|
| 55 |
-
|
| 56 |
-
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
|
| 60 |
-
|
| 61 |
-
|
| 62 |
-
|
| 63 |
-
|
| 64 |
-
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
|
| 68 |
-
|
| 69 |
-
|
| 70 |
-
|
| 71 |
-
|
| 72 |
-
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
|
| 76 |
-
|
| 77 |
-
|
| 78 |
-
|
| 79 |
-
|
| 80 |
-
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
|
| 84 |
-
|
| 85 |
-
|
| 86 |
-
|
| 87 |
-
|
| 88 |
-
|
| 89 |
-
|
| 90 |
-
|
| 91 |
-
|
| 92 |
-
|
| 93 |
-
|
| 94 |
-
|
| 95 |
-
|
| 96 |
-
|
| 97 |
-
|
| 98 |
-
|
| 99 |
-
|
| 100 |
-
|
| 101 |
-
|
| 102 |
-
|
| 103 |
-
|
| 104 |
-
|
| 105 |
-
|
| 106 |
-
|
| 107 |
-
|
| 108 |
-
|
| 109 |
-
|
| 110 |
-
|
| 111 |
-
|
| 112 |
-
|
| 113 |
-
|
| 114 |
-
|
| 115 |
-
|
| 116 |
-
|
| 117 |
-
|
| 118 |
-
|
| 119 |
-
|
| 120 |
-
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
|
| 124 |
-
|
| 125 |
-
|
| 126 |
-
|
| 127 |
-
|
| 128 |
-
|
| 129 |
-
|
| 130 |
-
|
| 131 |
-
|
| 132 |
-
|
| 133 |
-
|
| 134 |
-
|
| 135 |
-
|
| 136 |
-
|
| 137 |
-
|
| 138 |
-
|
| 139 |
-
|
| 140 |
-
|
| 141 |
-
|
| 142 |
-
|
| 143 |
-
|
| 144 |
-
# retry_sampling_params = SamplingParams(temperature=0.1*attempt, max_tokens=8192)
|
| 145 |
-
# responses = [get_response(retry_page_to_markdown_query, 0.1*attempt) for retry_page_to_markdown_query in retry_page_to_markdown_query_list]
|
| 146 |
-
# responses = llm.generate(retry_page_to_markdown_query_list, sampling_params=retry_sampling_params)
|
| 147 |
-
tasks = [
|
| 148 |
-
get_response(query, 0.1*attempt)
|
| 149 |
-
for query in retry_page_to_markdown_query_list
|
| 150 |
-
]
|
| 151 |
-
responses = await asyncio.gather(*tasks)
|
| 152 |
-
results = [response for response in responses]
|
| 153 |
-
next_retry_list = []
|
| 154 |
-
for i,result in zip(retry_list,results):
|
| 155 |
-
try:
|
| 156 |
-
json_data = json.loads(result)
|
| 157 |
-
page_response = PageResponse(**json_data)
|
| 158 |
-
natural_text = page_response.natural_text
|
| 159 |
-
markdown_element_list = []
|
| 160 |
-
for text in natural_text.split('\n\n'):
|
| 161 |
-
if text.startswith("<Image>") and text.endswith("</Image>"):
|
| 162 |
-
pass
|
| 163 |
-
elif text.startswith("<table>") and text.endswith("</table>"):
|
| 164 |
-
try:
|
| 165 |
-
new_text = table_matrix2html(text)
|
| 166 |
-
except:
|
| 167 |
-
new_text = text.replace("<t>","").replace("<l>","").replace("<lt>","")
|
| 168 |
-
markdown_element_list.append(new_text)
|
| 169 |
-
else:
|
| 170 |
-
markdown_element_list.append(text)
|
| 171 |
-
page_to_markdown_result[i+1] = markdown_element_list
|
| 172 |
-
except:
|
| 173 |
-
next_retry_list.append(i)
|
| 174 |
-
retry_list = next_retry_list
|
| 175 |
-
attempt += 1
|
| 176 |
-
|
| 177 |
-
page_texts = {}
|
| 178 |
-
fallback_pages = []
|
| 179 |
-
for page_number in range(1, num_pages+1):
|
| 180 |
-
if page_number not in page_to_markdown_result.keys():
|
| 181 |
-
fallback_pages.append(page_number-1)
|
| 182 |
-
else:
|
| 183 |
-
page_texts[str(page_number-1)] = "\n\n".join(page_to_markdown_result[page_number])
|
| 184 |
-
|
| 185 |
-
if skip_cross_page_merge:
|
| 186 |
-
document_text_list = []
|
| 187 |
-
for i in range(num_pages):
|
| 188 |
-
if i not in fallback_pages:
|
| 189 |
-
document_text_list.append(page_texts[str(i)])
|
| 190 |
-
document_text = "\n\n".join(document_text_list)
|
| 191 |
-
return {
|
| 192 |
-
"orig_path": file_path,
|
| 193 |
-
"num_pages": num_pages,
|
| 194 |
-
"document_text": document_text,
|
| 195 |
-
"page_texts": page_texts,
|
| 196 |
-
"fallback_pages": fallback_pages,
|
| 197 |
-
}
|
| 198 |
-
|
| 199 |
-
# Stage 2: Element Merge Detect
|
| 200 |
-
element_merge_detect_keys = []
|
| 201 |
-
element_merge_detect_query_list = []
|
| 202 |
-
for page_num in range(1,num_pages):
|
| 203 |
-
if page_num in page_to_markdown_result.keys() and page_num+1 in page_to_markdown_result.keys():
|
| 204 |
-
element_merge_detect_query_list.append(build_element_merge_detect_query(page_to_markdown_result[page_num],page_to_markdown_result[page_num+1]))
|
| 205 |
-
element_merge_detect_keys.append((page_num,page_num+1))
|
| 206 |
-
|
| 207 |
-
# responses = [get_response(element_merge_detect_query, 0.0) for element_merge_detect_query in element_merge_detect_query_list]
|
| 208 |
-
# responses = llm.generate(element_merge_detect_query_list, sampling_params=sampling_params)
|
| 209 |
-
tasks = [
|
| 210 |
-
get_response(query, 0.0)
|
| 211 |
-
for query in element_merge_detect_query_list
|
| 212 |
-
]
|
| 213 |
-
responses = await asyncio.gather(*tasks)
|
| 214 |
-
results = [response for response in responses]
|
| 215 |
-
element_merge_detect_result = {}
|
| 216 |
-
for key,result in zip(element_merge_detect_keys,results):
|
| 217 |
-
try:
|
| 218 |
-
element_merge_detect_result[key] = eval(result)
|
| 219 |
-
except:
|
| 220 |
-
pass
|
| 221 |
-
|
| 222 |
-
# Stage 3: HTML Table Merge
|
| 223 |
-
html_table_merge_keys = []
|
| 224 |
-
for key,result in element_merge_detect_result.items():
|
| 225 |
-
page_1,page_2 = key
|
| 226 |
-
for elem_idx_1,elem_idx_2 in result:
|
| 227 |
-
text_1 = page_to_markdown_result[page_1][elem_idx_1]
|
| 228 |
-
text_2 = page_to_markdown_result[page_2][elem_idx_2]
|
| 229 |
-
if text_1.startswith("<table>") and text_1.endswith("</table>") and text_2.startswith("<table>") and text_2.endswith("</table>"):
|
| 230 |
-
html_table_merge_keys.append((page_1,page_2,elem_idx_1,elem_idx_2))
|
| 231 |
-
|
| 232 |
-
html_table_merge_keys = sorted(html_table_merge_keys,key=lambda x: -x[0])
|
| 233 |
-
|
| 234 |
-
html_table_merge_result = {}
|
| 235 |
-
page_to_markdown_result_tmp = copy.deepcopy(page_to_markdown_result)
|
| 236 |
-
i = 0
|
| 237 |
-
while i < len(html_table_merge_keys):
|
| 238 |
-
tmp = set()
|
| 239 |
-
keys = []
|
| 240 |
-
while i < len(html_table_merge_keys):
|
| 241 |
-
page_1,page_2,elem_idx_1,elem_idx_2 = html_table_merge_keys[i]
|
| 242 |
-
if (page_2,elem_idx_2) in tmp:
|
| 243 |
-
break
|
| 244 |
-
tmp.add((page_1,elem_idx_1))
|
| 245 |
-
keys.append((page_1,page_2,elem_idx_1,elem_idx_2))
|
| 246 |
-
i += 1
|
| 247 |
-
|
| 248 |
-
html_table_merge_query_list = [build_html_table_merge_query(page_to_markdown_result_tmp[page_1][elem_idx_1],page_to_markdown_result_tmp[page_2][elem_idx_2]) for page_1,page_2,elem_idx_1,elem_idx_2 in keys]
|
| 249 |
-
# responses = [get_response(html_table_merge_query, 0.0) for html_table_merge_query in html_table_merge_query_list]
|
| 250 |
-
# responses = llm.generate(html_table_merge_query_list, sampling_params=sampling_params)
|
| 251 |
-
tasks = [
|
| 252 |
-
get_response(query, 0.0)
|
| 253 |
-
for query in html_table_merge_query_list
|
| 254 |
-
]
|
| 255 |
-
responses = await asyncio.gather(*tasks)
|
| 256 |
-
results = [response for response in responses]
|
| 257 |
-
for key,result in zip(keys,results):
|
| 258 |
-
if result.startswith("<table>") and result.endswith("</table>"):
|
| 259 |
-
html_table_merge_result[key] = result
|
| 260 |
-
page_to_markdown_result_tmp[page_1][elem_idx_1] = result
|
| 261 |
-
|
| 262 |
-
document_text = bulid_document_text(page_to_markdown_result, element_merge_detect_result, html_table_merge_result)
|
| 263 |
-
return {
|
| 264 |
-
"orig_path": file_path,
|
| 265 |
-
"num_pages": num_pages,
|
| 266 |
-
"document_text": document_text,
|
| 267 |
-
"page_texts": page_texts,
|
| 268 |
-
"fallback_pages": fallback_pages,
|
| 269 |
-
}
|
| 270 |
-
|
| 271 |
-
|
| 272 |
-
file_path = '/content/test.pdf'
|
| 273 |
-
result = await parse(file_path)
|
| 274 |
-
if result != None:
|
| 275 |
-
document_markdown = result['document_text']
|
| 276 |
-
print(document_markdown)
|
| 277 |
-
with open('test.md','w') as f:
|
| 278 |
-
f.write(document_markdown)
|
| 279 |
-
else:
|
| 280 |
-
print("Parse failed.")
|
| 281 |
```
|
|
|
|
| 1 |
```
|
| 2 |
+
import ezdxf
|
| 3 |
+
import matplotlib.pyplot as plt
|
| 4 |
+
from matplotlib.patches import Arc
|
| 5 |
+
import numpy as np
|
| 6 |
+
import math
|
| 7 |
+
|
| 8 |
+
doc = ezdxf.readfile("plan.dxf")
|
| 9 |
+
msp = doc.modelspace()
|
| 10 |
+
|
| 11 |
+
fig, ax = plt.subplots(figsize=(8, 8))
|
| 12 |
+
|
| 13 |
+
# 1) LINE
|
| 14 |
+
for e in msp.query("LINE"):
|
| 15 |
+
x = [e.dxf.start.x, e.dxf.end.x]
|
| 16 |
+
y = [e.dxf.start.y, e.dxf.end.y]
|
| 17 |
+
ax.plot(x, y, linewidth=0.6, color="black")
|
| 18 |
+
|
| 19 |
+
# 2) LWPOLYLINE / POLYLINE
|
| 20 |
+
def plot_poly(points, closed, lw=0.6):
|
| 21 |
+
xs, ys = zip(*points)
|
| 22 |
+
ax.plot(xs, ys, linewidth=lw, color="black")
|
| 23 |
+
if closed and (points[0] != points[-1]):
|
| 24 |
+
ax.plot([points[-1][0], points[0][0]],
|
| 25 |
+
[points[-1][1], points[0][1]], linewidth=lw, color="black")
|
| 26 |
+
|
| 27 |
+
for e in msp.query("LWPOLYLINE"):
|
| 28 |
+
pts = [(p[0], p[1]) for p in e.get_points()] # (x, y, [bulge...])
|
| 29 |
+
plot_poly(pts, e.closed)
|
| 30 |
+
|
| 31 |
+
for e in msp.query("POLYLINE"):
|
| 32 |
+
pts = [(v.dxf.location.x, v.dxf.location.y) for v in e.vertices]
|
| 33 |
+
plot_poly(pts, e.is_closed)
|
| 34 |
+
|
| 35 |
+
# 3) ARC (중심, 반경, 시작각, 끝각)
|
| 36 |
+
for e in msp.query("ARC"):
|
| 37 |
+
c = e.dxf.center
|
| 38 |
+
r = e.dxf.radius
|
| 39 |
+
start = e.dxf.start_angle
|
| 40 |
+
end = e.dxf.end_angle
|
| 41 |
+
# matplotlib Arc는 도(deg) 기준
|
| 42 |
+
arc = Arc((c.x, c.y), width=2*r, height=2*r, angle=0,
|
| 43 |
+
theta1=start, theta2=end, linewidth=0.6, color="black")
|
| 44 |
+
ax.add_patch(arc)
|
| 45 |
+
|
| 46 |
+
# 4) CIRCLE
|
| 47 |
+
for e in msp.query("CIRCLE"):
|
| 48 |
+
c = e.dxf.center
|
| 49 |
+
r = e.dxf.radius
|
| 50 |
+
circle = plt.Circle((c.x, c.y), r, fill=False, linewidth=0.6, color="black")
|
| 51 |
+
ax.add_patch(circle)
|
| 52 |
+
|
| 53 |
+
# 5) ELLIPSE (파라메트릭 샘플링)
|
| 54 |
+
for e in msp.query("ELLIPSE"):
|
| 55 |
+
# 중심, 주축 벡터, 종축비, 시작/끝 파라미터(t in [0, 2π))
|
| 56 |
+
center = np.array([e.dxf.center.x, e.dxf.center.y])
|
| 57 |
+
major = np.array([e.dxf.major_axis.x, e.dxf.major_axis.y])
|
| 58 |
+
ratio = e.dxf.ratio # minor_len / major_len
|
| 59 |
+
t0 = e.dxf.start_param
|
| 60 |
+
t1 = e.dxf.end_param
|
| 61 |
+
|
| 62 |
+
# 주축/종축 벡터
|
| 63 |
+
u = major
|
| 64 |
+
v = np.array([-major[1], major[0]]) # 직교 벡터
|
| 65 |
+
v = v / (np.linalg.norm(v) + 1e-12) * (np.linalg.norm(major) * ratio)
|
| 66 |
+
|
| 67 |
+
ts = np.linspace(t0, t1, 200)
|
| 68 |
+
xs = center[0] + u[0]*np.cos(ts) + v[0]*np.sin(ts)
|
| 69 |
+
ys = center[1] + u[1]*np.cos(ts) + v[1]*np.sin(ts)
|
| 70 |
+
ax.plot(xs, ys, linewidth=0.6, color="black")
|
| 71 |
+
|
| 72 |
+
# 6) SPLINE (근사)
|
| 73 |
+
for e in msp.query("SPLINE"):
|
| 74 |
+
pts = e.approximate(segments=200) # 복잡하면 세그먼트 수 증가
|
| 75 |
+
xs, ys = zip(*[(p[0], p[1]) for p in pts])
|
| 76 |
+
ax.plot(xs, ys, linewidth=0.6, color="black")
|
| 77 |
+
|
| 78 |
+
# 7) TEXT
|
| 79 |
+
for e in msp.query("TEXT"):
|
| 80 |
+
ins = e.dxf.insert
|
| 81 |
+
text = e.dxf.text
|
| 82 |
+
height = e.dxf.height if e.dxf.height else 2.5 # 기본값
|
| 83 |
+
rot = e.dxf.rotation if e.dxf.hasattr("rotation") else 0.0
|
| 84 |
+
# Matplotlib 텍스트: 폰트/정렬은 완벽히 CAD와 동일하진 않음
|
| 85 |
+
ax.text(ins.x, ins.y, text,
|
| 86 |
+
fontsize=height, rotation=rot, rotation_mode="anchor",
|
| 87 |
+
ha="left", va="baseline", color="black")
|
| 88 |
+
|
| 89 |
+
# 8) MTEXT
|
| 90 |
+
for e in msp.query("MTEXT"):
|
| 91 |
+
ins = e.dxf.insert
|
| 92 |
+
text = e.plain_text() # 포맷 태그 제거된 순수 텍스트
|
| 93 |
+
# MTEXT는 폭/높이/줄바꿈/정렬 등 복잡: 간단히만 표시
|
| 94 |
+
rot = e.dxf.rotation if e.dxf.hasattr("rotation") else 0.0
|
| 95 |
+
char_height = e.dxf.char_height if e.dxf.hasattr("char_height") else 2.5
|
| 96 |
+
ax.text(ins.x, ins.y, text,
|
| 97 |
+
fontsize=char_height, rotation=rot, rotation_mode="anchor",
|
| 98 |
+
ha="left", va="top", color="black")
|
| 99 |
+
|
| 100 |
+
# (선택) HATCH: 경계만 외곽선으로 스케치 (간단 버전)
|
| 101 |
+
for e in msp.query("HATCH"):
|
| 102 |
+
for path in e.paths:
|
| 103 |
+
if path.PATH_TYPE_EDGE: # EDGE path
|
| 104 |
+
# EDGE는 Line/Arc/Ellipse/Spline 세그먼트, 여기선 샘플링하여 폴리라인화
|
| 105 |
+
pts = []
|
| 106 |
+
for edge in path.edges:
|
| 107 |
+
typ = edge.EDGE_TYPE
|
| 108 |
+
if typ == "LineEdge":
|
| 109 |
+
pts += [(edge.start[0], edge.start[1]), (edge.end[0], edge.end[1])]
|
| 110 |
+
elif typ == "ArcEdge":
|
| 111 |
+
cx, cy = edge.center
|
| 112 |
+
r = edge.radius
|
| 113 |
+
a0 = math.radians(edge.start_angle)
|
| 114 |
+
a1 = math.radians(edge.end_angle)
|
| 115 |
+
ts = np.linspace(a0, a1, 50)
|
| 116 |
+
pts += [(cx + r*np.cos(t), cy + r*np.sin(t)) for t in ts]
|
| 117 |
+
elif typ == "EllipseEdge":
|
| 118 |
+
(cx, cy) = edge.center
|
| 119 |
+
major = np.array(edge.major_axis)
|
| 120 |
+
ratio = edge.ratio
|
| 121 |
+
t0, t1 = edge.start_param, edge.end_param
|
| 122 |
+
u = major
|
| 123 |
+
v = np.array([-major[1], major[0]])
|
| 124 |
+
v = v / (np.linalg.norm(v) + 1e-12) * (np.linalg.norm(major) * ratio)
|
| 125 |
+
ts = np.linspace(t0, t1, 100)
|
| 126 |
+
pts += [(cx + u[0]*np.cos(t) + v[0]*np.sin(t),
|
| 127 |
+
cy + u[1]*np.cos(t) + v[1]*np.sin(t)) for t in ts]
|
| 128 |
+
elif typ == "SplineEdge":
|
| 129 |
+
ap = edge.spline.approximate(segments=100)
|
| 130 |
+
pts += [(p[0], p[1]) for p in ap]
|
| 131 |
+
if len(pts) >= 2:
|
| 132 |
+
xs, ys = zip(*pts)
|
| 133 |
+
ax.plot(xs, ys, linewidth=0.4, color="black")
|
| 134 |
+
elif path.PATH_TYPE_POLYLINE:
|
| 135 |
+
pts = [(v[0], v[1]) for v in path.vertices]
|
| 136 |
+
xs, ys = zip(*pts)
|
| 137 |
+
ax.plot(xs, ys, linewidth=0.4, color="black")
|
| 138 |
+
|
| 139 |
+
ax.set_aspect("equal")
|
| 140 |
+
ax.axis("off")
|
| 141 |
+
plt.savefig("output.png", dpi=300)
|
| 142 |
+
plt.savefig("output.pdf")
|
| 143 |
+
plt.close()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 144 |
```
|