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get_paper_from_pdf.py
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get_paper_from_pdf.py
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import fitz, io, os
from PIL import Image
class Paper:
def __init__(self, path, title='', url='', abs='', authers=[]):
# 初始化函数,根据pdf路径初始化Paper对象
self.url = url # 文章链接
self.path = path # pdf路径
self.section_names = [] # 段落标题
self.section_texts = {} # 段落内容
self.abs = abs
self.title_page = 0
if title == '':
self.pdf = fitz.open(self.path) # pdf文档
self.title = self.get_title()
self.parse_pdf()
else:
self.title = title
self.authers = authers
self.roman_num = ["I", "II", 'III', "IV", "V", "VI", "VII", "VIII", "IIX", "IX", "X"]
self.digit_num = [str(d+1) for d in range(10)]
self.first_image = ''
def parse_pdf(self):
self.pdf = fitz.open(self.path) # pdf文档
self.text_list = [page.get_text() for page in self.pdf]
self.all_text = ' '.join(self.text_list)
self.section_page_dict = self._get_all_page_index() # 段落与页码的对应字典
print("section_page_dict", self.section_page_dict)
self.section_text_dict = self._get_all_page() # 段落与内容的对应字典
self.section_text_dict.update({"title": self.title})
self.section_text_dict.update({"paper_info": self.get_paper_info()})
self.pdf.close()
def get_paper_info(self):
first_page_text = self.pdf[self.title_page].get_text()
if "Abstract" in self.section_text_dict.keys():
abstract_text = self.section_text_dict['Abstract']
else:
abstract_text = self.abs
first_page_text = first_page_text.replace(abstract_text, "")
return first_page_text
def get_image_path(self, image_path=''):
"""
将PDF中的第一张图保存到image.png里面,存到本地目录,返回文件名称,供gitee读取
:param filename: 图片所在路径,"C:\\Users\\Administrator\\Desktop\\nwd.pdf"
:param image_path: 图片提取后的保存路径
:return:
"""
# open file
max_size = 0
image_list = []
with fitz.Document(self.path) as my_pdf_file:
# 遍历所有页面
for page_number in range(1, len(my_pdf_file) + 1):
# 查看独立页面
page = my_pdf_file[page_number - 1]
# 查看当前页所有图片
images = page.get_images()
# 遍历当前页面所有图片
for image_number, image in enumerate(page.get_images(), start=1):
# 访问图片xref
xref_value = image[0]
# 提取图片信息
base_image = my_pdf_file.extract_image(xref_value)
# 访问图片
image_bytes = base_image["image"]
# 获取图片扩展名
ext = base_image["ext"]
# 加载图片
image = Image.open(io.BytesIO(image_bytes))
image_size = image.size[0] * image.size[1]
if image_size > max_size:
max_size = image_size
image_list.append(image)
for image in image_list:
image_size = image.size[0] * image.size[1]
if image_size == max_size:
image_name = f"image.{ext}"
im_path = os.path.join(image_path, image_name)
print("im_path:", im_path)
max_pix = 480
origin_min_pix = min(image.size[0], image.size[1])
if image.size[0] > image.size[1]:
min_pix = int(image.size[1] * (max_pix/image.size[0]))
newsize = (max_pix, min_pix)
else:
min_pix = int(image.size[0] * (max_pix/image.size[1]))
newsize = (min_pix, max_pix)
image = image.resize(newsize)
image.save(open(im_path, "wb"))
return im_path, ext
return None, None
# 定义一个函数,根据字体的大小,识别每个章节名称,并返回一个列表
def get_chapter_names(self,):
# # 打开一个pdf文件
doc = fitz.open(self.path) # pdf文档
text_list = [page.get_text() for page in doc]
all_text = ''
for text in text_list:
all_text += text
# # 创建一个空列表,用于存储章节名称
chapter_names = []
for line in all_text.split('\n'):
line_list = line.split(' ')
if '.' in line:
point_split_list = line.split('.')
space_split_list = line.split(' ')
if 1 < len(space_split_list) < 5:
if 1 < len(point_split_list) < 5 and (point_split_list[0] in self.roman_num or point_split_list[0] in self.digit_num):
print("line:", line)
chapter_names.append(line)
# 这段代码可能会有新的bug,本意是为了消除"Introduction"的问题的!
elif 1 < len(point_split_list) < 5:
print("line:", line)
chapter_names.append(line)
return chapter_names
def get_title(self):
doc = self.pdf # 打开pdf文件
max_font_size = 0 # 初始化最大字体大小为0
max_string = "" # 初始化最大字体大小对应的字符串为空
max_font_sizes = [0]
for page_index, page in enumerate(doc): # 遍历每一页
text = page.get_text("dict") # 获取页面上的文本信息
blocks = text["blocks"] # 获取文本块列表
for block in blocks: # 遍历每个文本块
if block["type"] == 0 and len(block['lines']): # 如果是文字类型
if len(block["lines"][0]["spans"]):
font_size = block["lines"][0]["spans"][0]["size"] # 获取第一行第一段文字的字体大小
max_font_sizes.append(font_size)
if font_size > max_font_size: # 如果字体大小大于当前最大值
max_font_size = font_size # 更新最大值
max_string = block["lines"][0]["spans"][0]["text"] # 更新最大值对应的字符串
max_font_sizes.sort()
print("max_font_sizes", max_font_sizes[-10:])
cur_title = ''
for page_index, page in enumerate(doc): # 遍历每一页
text = page.get_text("dict") # 获取页面上的文本信息
blocks = text["blocks"] # 获取文本块列表
for block in blocks: # 遍历每个文本块
if block["type"] == 0 and len(block['lines']): # 如果是文字类型
if len(block["lines"][0]["spans"]):
cur_string = block["lines"][0]["spans"][0]["text"] # 更新最大值对应的字符串
font_flags = block["lines"][0]["spans"][0]["flags"] # 获取第一行第一段文字的字体特征
font_size = block["lines"][0]["spans"][0]["size"] # 获取第一行第一段文字的字体大小
# print(font_size)
if abs(font_size - max_font_sizes[-1]) < 0.3 or abs(font_size - max_font_sizes[-2]) < 0.3:
# print("The string is bold.", max_string, "font_size:", font_size, "font_flags:", font_flags)
if len(cur_string) > 4 and "arXiv" not in cur_string:
# print("The string is bold.", max_string, "font_size:", font_size, "font_flags:", font_flags)
if cur_title == '' :
cur_title += cur_string
else:
cur_title += ' ' + cur_string
self.title_page = page_index
# break
title = cur_title.replace('\n', ' ')
return title
def _get_all_page_index(self):
# 定义需要寻找的章节名称列表
section_list = ["Abstract",
'Introduction', 'Related Work', 'Background',
"Preliminary", "Problem Formulation",
'Methods', 'Methodology', "Method", 'Approach', 'Approaches',
# exp
"Materials and Methods", "Experiment Settings",
'Experiment', "Experimental Results", "Evaluation", "Experiments",
"Results", 'Findings', 'Data Analysis',
"Discussion", "Results and Discussion", "Conclusion",
'References']
# 初始化一个字典来存储找到的章节和它们在文档中出现的页码
section_page_dict = {}
# 遍历每一页文档
for page_index, page in enumerate(self.pdf):
# 获取当前页面的文本内容
cur_text = page.get_text()
# 遍历需要寻找的章节名称列表
for section_name in section_list:
# 将章节名称转换成大写形式
section_name_upper = section_name.upper()
# 如果当前页面包含"Abstract"这个关键词
if "Abstract" == section_name and section_name in cur_text:
# 将"Abstract"和它所在的页码加入字典中
section_page_dict[section_name] = page_index
# 如果当前页面包含章节名称,则将章节名称和它所在的页码加入字典中
else:
if section_name + '\n' in cur_text:
section_page_dict[section_name] = page_index
elif section_name_upper + '\n' in cur_text:
section_page_dict[section_name] = page_index
# 返回所有找到的章节名称及它们在文档中出现的页码
return section_page_dict
def _get_all_page(self):
"""
获取PDF文件中每个页面的文本信息,并将文本信息按照章节组织成字典返回。
Returns:
section_dict (dict): 每个章节的文本信息字典,key为章节名,value为章节文本。
"""
text = ''
text_list = []
section_dict = {}
# 再处理其他章节:
text_list = [page.get_text() for page in self.pdf]
for sec_index, sec_name in enumerate(self.section_page_dict):
print(sec_index, sec_name, self.section_page_dict[sec_name])
if sec_index <= 0 and self.abs:
continue
else:
# 直接考虑后面的内容:
start_page = self.section_page_dict[sec_name]
if sec_index < len(list(self.section_page_dict.keys()))-1:
end_page = self.section_page_dict[list(self.section_page_dict.keys())[sec_index+1]]
else:
end_page = len(text_list)
print("start_page, end_page:", start_page, end_page)
cur_sec_text = ''
if end_page - start_page == 0:
if sec_index < len(list(self.section_page_dict.keys()))-1:
next_sec = list(self.section_page_dict.keys())[sec_index+1]
if text_list[start_page].find(sec_name) == -1:
start_i = text_list[start_page].find(sec_name.upper())
else:
start_i = text_list[start_page].find(sec_name)
if text_list[start_page].find(next_sec) == -1:
end_i = text_list[start_page].find(next_sec.upper())
else:
end_i = text_list[start_page].find(next_sec)
cur_sec_text += text_list[start_page][start_i:end_i]
else:
for page_i in range(start_page, end_page):
# print("page_i:", page_i)
if page_i == start_page:
if text_list[start_page].find(sec_name) == -1:
start_i = text_list[start_page].find(sec_name.upper())
else:
start_i = text_list[start_page].find(sec_name)
cur_sec_text += text_list[page_i][start_i:]
elif page_i < end_page:
cur_sec_text += text_list[page_i]
elif page_i == end_page:
if sec_index < len(list(self.section_page_dict.keys()))-1:
next_sec = list(self.section_page_dict.keys())[sec_index+1]
if text_list[start_page].find(next_sec) == -1:
end_i = text_list[start_page].find(next_sec.upper())
else:
end_i = text_list[start_page].find(next_sec)
cur_sec_text += text_list[page_i][:end_i]
section_dict[sec_name] = cur_sec_text.replace('-\n', '').replace('\n', ' ')
return section_dict
def main():
path = r'demo.pdf'
paper = Paper(path=path)
paper.parse_pdf()
for key, value in paper.section_text_dict.items():
print(key, value)
print("*"*40)
if __name__ == '__main__':
main()