MinerU / magic_pdf /pre_proc /fix_table.py
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from magic_pdf.libs.commons import fitz # pyMuPDF库
import re
from magic_pdf.libs.boxbase import _is_in_or_part_overlap, _is_part_overlap, find_bottom_nearest_text_bbox, find_left_nearest_text_bbox, find_right_nearest_text_bbox, find_top_nearest_text_bbox # json
## version 2
def get_merged_line(page):
"""
这个函数是为了从pymuPDF中提取出的矢量里筛出水平的横线,并且将断开的线段进行了合并。
:param page :fitz读取的当前页的内容
"""
drawings_bbox = []
drawings_line = []
drawings = page.get_drawings() # 提取所有的矢量
for p in drawings:
drawings_bbox.append(p["rect"].irect) # (L, U, R, D)
lines = []
for L, U, R, D in drawings_bbox:
if abs(D - U) <= 3: # 筛出水平的横线
lines.append((L, U, R, D))
U_groups = []
visited = [False for _ in range(len(lines))]
for i, (L1, U1, R1, D1) in enumerate(lines):
if visited[i] == True:
continue
tmp_g = [(L1, U1, R1, D1)]
for j, (L2, U2, R2, D2) in enumerate(lines):
if i == j:
continue
if visited[j] == True:
continue
if max(U1, D1, U2, D2) - min(U1, D1, U2, D2) <= 5: # 把高度一致的线放进一个group
tmp_g.append((L2, U2, R2, D2))
visited[j] = True
U_groups.append(tmp_g)
res = []
for group in U_groups:
group.sort(key = lambda LURD: (LURD[0], LURD[2]))
LL, UU, RR, DD = group[0]
for i, (L1, U1, R1, D1) in enumerate(group):
if (L1 - RR) >= 5:
cur_line = (LL, UU, RR, DD)
res.append(cur_line)
LL = L1
else:
RR = max(RR, R1)
cur_line = (LL, UU, RR, DD)
res.append(cur_line)
return res
def fix_tables(page: fitz.Page, table_bboxes: list, include_table_title: bool, scan_line_num: int):
"""
:param page :fitz读取的当前页的内容
:param table_bboxes: list类型,每一个元素是一个元祖 (L, U, R, D)
:param include_table_title: 是否将表格的标题也圈进来
:param scan_line_num: 在与表格框临近的上下几个文本框里扫描搜索标题
"""
drawings_lines = get_merged_line(page)
fix_table_bboxes = []
for table in table_bboxes:
(L, U, R, D) = table
fix_table_L = []
fix_table_U = []
fix_table_R = []
fix_table_D = []
width = R - L
width_range = width * 0.1 # 只看距离表格整体宽度10%之内偏差的线
height = D - U
height_range = height * 0.1 # 只看距离表格整体高度10%之内偏差的线
for line in drawings_lines:
if (L - width_range) <= line[0] <= (L + width_range) and (R - width_range) <= line[2] <= (R + width_range): # 相近的宽度
if (U - height_range) < line[1] < (U + height_range): # 上边界,在一定的高度范围内
fix_table_U.append(line[1])
fix_table_L.append(line[0])
fix_table_R.append(line[2])
elif (D - height_range) < line[1] < (D + height_range): # 下边界,在一定的高度范围内
fix_table_D.append(line[1])
fix_table_L.append(line[0])
fix_table_R.append(line[2])
if fix_table_U:
U = min(fix_table_U)
if fix_table_D:
D = max(fix_table_D)
if fix_table_L:
L = min(fix_table_L)
if fix_table_R:
R = max(fix_table_R)
if include_table_title: # 需要将表格标题包括
text_blocks = page.get_text("dict", flags=fitz.TEXTFLAGS_TEXT)["blocks"] # 所有的text的block
incolumn_text_blocks = [block for block in text_blocks if not ((block['bbox'][0] < L and block['bbox'][2] < L) or (block['bbox'][0] > R and block['bbox'][2] > R))] # 将与表格完全没有任何遮挡的文字筛除掉(比如另一栏的文字)
upper_text_blocks = [block for block in incolumn_text_blocks if (U - block['bbox'][3]) > 0] # 将在表格线以上的text block筛选出来
sorted_filtered_text_blocks = sorted(upper_text_blocks, key=lambda x: (U - x['bbox'][3], x['bbox'][0])) # 按照text block的下边界距离表格上边界的距离升序排序,如果是同一个高度,则先左再右
for idx in range(scan_line_num):
if idx+1 <= len(sorted_filtered_text_blocks):
line_temp = sorted_filtered_text_blocks[idx]['lines']
if line_temp:
text = line_temp[0]['spans'][0]['text'] # 提取出第一个span里的text内容
check_en = re.match('Table', text) # 检查是否有Table开头的(英文)
check_ch = re.match('表', text) # 检查是否有Table开头的(中文)
if check_en or check_ch:
if sorted_filtered_text_blocks[idx]['bbox'][1] < D: # 以防出现负的bbox
U = sorted_filtered_text_blocks[idx]['bbox'][1]
fix_table_bboxes.append([L-2, U-2, R+2, D+2])
return fix_table_bboxes
def __check_table_title_pattern(text):
"""
检查文本段是否是表格的标题
"""
patterns = [r'^table\s\d+']
for pattern in patterns:
match = re.match(pattern, text, re.IGNORECASE)
if match:
return True
else:
return False
def fix_table_text_block(pymu_blocks, table_bboxes: list):
"""
调整table, 如果table和上下的text block有相交区域,则将table的上下边界调整到text block的上下边界
例如 tmp/unittest/unittest_pdf/纯2列_ViLT_6_文字 表格.pdf
"""
for tb in table_bboxes:
(L, U, R, D) = tb
for block in pymu_blocks:
if _is_in_or_part_overlap((L, U, R, D), block['bbox']):
txt = " ".join(span['text'] for line in block['lines'] for span in line['spans'])
if not __check_table_title_pattern(txt) and block.get("_table", False) is False: # 如果是table的title,那么不调整。因为下一步会统一调整,如果这里进行了调整,后面的调整会造成调整到其他table的title上(在连续出现2个table的情况下)。
tb[0] = min(tb[0], block['bbox'][0])
tb[1] = min(tb[1], block['bbox'][1])
tb[2] = max(tb[2], block['bbox'][2])
tb[3] = max(tb[3], block['bbox'][3])
block['_table'] = True # 占位,防止其他table再次占用
"""如果是个table的title,但是有部分重叠,那么修正这个title,使得和table不重叠"""
if _is_part_overlap(tb, block['bbox']) and __check_table_title_pattern(txt):
block['bbox'] = list(block['bbox'])
if block['bbox'][3] > U:
block['bbox'][3] = U-1
if block['bbox'][1] < D:
block['bbox'][1] = D+1
return table_bboxes
def __get_table_caption_text(text_block):
txt = " ".join(span['text'] for line in text_block['lines'] for span in line['spans'])
line_cnt = len(text_block['lines'])
txt = txt.replace("Ž . ", '')
return txt, line_cnt
def include_table_title(pymu_blocks, table_bboxes: list):
"""
把表格的title也包含进来,扩展到table_bbox上
"""
for tb in table_bboxes:
max_find_cnt = 3 # 上上最多找3次
temp_box = tb.copy()
while max_find_cnt>0:
text_block_top = find_top_nearest_text_bbox(pymu_blocks, temp_box)
if text_block_top:
txt, line_cnt = __get_table_caption_text(text_block_top)
if len(txt.strip())>0:
if not __check_table_title_pattern(txt) and max_find_cnt>0 and line_cnt<3:
max_find_cnt = max_find_cnt -1
temp_box[1] = text_block_top['bbox'][1]
continue
else:
break
else:
temp_box[1] = text_block_top['bbox'][1] # 宽度不变,扩大
max_find_cnt = max_find_cnt - 1
else:
break
max_find_cnt = 3 # 向下找
temp_box = tb.copy()
while max_find_cnt>0:
text_block_bottom = find_bottom_nearest_text_bbox(pymu_blocks, temp_box)
if text_block_bottom:
txt, line_cnt = __get_table_caption_text(text_block_bottom)
if len(txt.strip())>0:
if not __check_table_title_pattern(txt) and max_find_cnt>0 and line_cnt<3:
max_find_cnt = max_find_cnt - 1
temp_box[3] = text_block_bottom['bbox'][3]
continue
else:
break
else:
temp_box[3] = text_block_bottom['bbox'][3]
max_find_cnt = max_find_cnt - 1
else:
break
if text_block_top and text_block_bottom and text_block_top.get("_table_caption", False) is False and text_block_bottom.get("_table_caption", False) is False :
btn_text, _ = __get_table_caption_text(text_block_bottom)
top_text, _ = __get_table_caption_text(text_block_top)
if __check_table_title_pattern(btn_text) and __check_table_title_pattern(top_text): # 上下都有一个tbale的caption
# 取距离最近的
btn_text_distance = text_block_bottom['bbox'][1] - tb[3]
top_text_distance = tb[1] - text_block_top['bbox'][3]
text_block = text_block_bottom if btn_text_distance<top_text_distance else text_block_top
tb[0] = min(tb[0], text_block['bbox'][0])
tb[1] = min(tb[1], text_block['bbox'][1])
tb[2] = max(tb[2], text_block['bbox'][2])
tb[3] = max(tb[3], text_block['bbox'][3])
text_block_bottom['_table_caption'] = True
continue
# 如果以上条件都不满足,那么就向下找
text_block = text_block_top
if text_block and text_block.get("_table_caption", False) is False:
first_text_line = " ".join(span['text'] for line in text_block['lines'] for span in line['spans'])
if __check_table_title_pattern(first_text_line) and text_block.get("_table", False) is False:
tb[0] = min(tb[0], text_block['bbox'][0])
tb[1] = min(tb[1], text_block['bbox'][1])
tb[2] = max(tb[2], text_block['bbox'][2])
tb[3] = max(tb[3], text_block['bbox'][3])
text_block['_table_caption'] = True
continue
text_block = text_block_bottom
if text_block and text_block.get("_table_caption", False) is False:
first_text_line, _ = __get_table_caption_text(text_block)
if __check_table_title_pattern(first_text_line) and text_block.get("_table", False) is False:
tb[0] = min(tb[0], text_block['bbox'][0])
tb[1] = min(tb[1], text_block['bbox'][1])
tb[2] = max(tb[2], text_block['bbox'][2])
tb[3] = max(tb[3], text_block['bbox'][3])
text_block['_table_caption'] = True
continue
"""向左、向右寻找,暂时只寻找一次"""
left_text_block = find_left_nearest_text_bbox(pymu_blocks, tb)
if left_text_block and left_text_block.get("_image_caption", False) is False:
first_text_line, _ = __get_table_caption_text(left_text_block)
if __check_table_title_pattern(first_text_line):
tb[0] = min(tb[0], left_text_block['bbox'][0])
tb[1] = min(tb[1], left_text_block['bbox'][1])
tb[2] = max(tb[2], left_text_block['bbox'][2])
tb[3] = max(tb[3], left_text_block['bbox'][3])
left_text_block['_image_caption'] = True
continue
right_text_block = find_right_nearest_text_bbox(pymu_blocks, tb)
if right_text_block and right_text_block.get("_image_caption", False) is False:
first_text_line, _ = __get_table_caption_text(right_text_block)
if __check_table_title_pattern(first_text_line):
tb[0] = min(tb[0], right_text_block['bbox'][0])
tb[1] = min(tb[1], right_text_block['bbox'][1])
tb[2] = max(tb[2], right_text_block['bbox'][2])
tb[3] = max(tb[3], right_text_block['bbox'][3])
right_text_block['_image_caption'] = True
continue
return table_bboxes