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parse.py
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parse.py
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from operator import itemgetter
import fitz
import json
import re
def fonts(doc, granularity=False):
styles = {}
font_counts = {}
for page in doc:
blocks = page.getText("dict")["blocks"]
for b in blocks: # iterate through the text blocks
if b['type'] == 0: # block contains text
for l in b["lines"]: # iterate through the text lines
for s in l["spans"]: # iterate through the text spans
if granularity:
identifier = "{0}_{1}_{2}_{3}".format(s['size'], s['flags'], s['font'], s['color'])
styles[identifier] = {'size': s['size'], 'flags': s['flags'], 'font': s['font'],
'color': s['color']}
else:
identifier = "{0}".format(s['size'])
styles[identifier] = {'size': s['size'], 'font': s['font']}
font_counts[identifier] = font_counts.get(identifier, 0) + 1 # count the fonts usage
font_counts = sorted(font_counts.items(), key=itemgetter(1), reverse=True)
if len(font_counts) < 1:
raise ValueError("Zero discriminating fonts found!")
return font_counts, styles
def font_tags(font_counts, styles):
p_style = styles[font_counts[0][0]] # get style for most used font by count (paragraph)
p_size = p_style['size'] # get the paragraph's size
# sorting the font sizes high to low, so that we can append the right integer to each tag
font_sizes = []
for (font_size, count) in font_counts:
font_sizes.append(float(font_size))
font_sizes.sort(reverse=True)
# aggregating the tags for each font size
idx = 0
size_tag = {}
for size in font_sizes:
idx += 1
if size == p_size:
idx = 0
size_tag[size] = '<p>'
if size > p_size:
size_tag[size] = '<h{0}>'.format(idx)
elif size < p_size:
size_tag[size] = '<s{0}>'.format(idx)
return size_tag
def headers_para(doc, size_tag):
header_para = [] # list with headers and paragraphs
first = True # boolean operator for first header
previous_s = {} # previous span
for page in doc:
blocks = page.getText("dict")["blocks"]
for b in blocks: # iterate through the text blocks
if b['type'] == 0: # this block contains text
# REMEMBER: multiple fonts and sizes are possible IN one block
block_string = "" # text found in block
for l in b["lines"]: # iterate through the text lines
for s in l["spans"]: # iterate through the text spans
if s['text'].strip(): # removing whitespaces:
if first:
previous_s = s
first = False
block_string = size_tag[s['size']] + s['text']
else:
if s['size'] == previous_s['size']:
if block_string and all((c == "|") for c in block_string):
# block_string only contains pipes
block_string = size_tag[s['size']] + s['text']
if block_string == "":
# new block has started, so append size tag
block_string = size_tag[s['size']] + s['text']
else: # in the same block, so concatenate strings
block_string += " " + s['text']
else:
header_para.append(block_string)
block_string = size_tag[s['size']] + s['text']
previous_s = s
# new block started, indicating with a pipe
block_string += ""
header_para.append(block_string)
return header_para
def clear_data(file_name):
with open(file_name+'.json', 'r') as f:
separated = f.read().split('",')
elements = []
for t in separated:
try:
if t[3] == 'h':
t+="</h>"
m = re.search('h(.+?)>', t)
if m:
headerNo = m.group(1)
if int(headerNo) > 5:
t = re.sub('h[^>]+>', 'p>', t)
elif t[3] == 's':
t+="</s>"
elements.append(t[2:])
except IndexError:
pass
allText = ' '.join(elements)
removed = allText.replace("<p>", "")
removed.split("<h")
result = re.split(r'.(?=<h)', removed)
return result
def main():
file_name = 'paper' #paper file name
document = file_name + '.pdf'
doc = fitz.open(document)
font_counts, styles = fonts(doc, granularity=False)
size_tag = font_tags(font_counts, styles)
elements = headers_para(doc, size_tag)
with open(file_name + ".json", 'w') as json_out:
json.dump(elements, json_out)
result = clear_data(file_name)
with open(file_name + "_clear" + ".json", 'w') as json_out:
json.dump(result, json_out, indent=2)
if __name__ == '__main__':
main()