2014-05-04 17:26:43 +00:00
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# -*- coding: utf-8 -*-
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# vi:si:et:sw=4:sts=4:ts=4
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from __future__ import division
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import sys
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import tempfile
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import subprocess
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import os
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import shutil
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from glob import glob
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from pyPdf import PdfFileReader
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import stdnum.isbn
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import settings
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from utils import normalize_isbn, find_isbns
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2014-05-18 03:01:24 +00:00
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import logging
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logger = logging.getLogger('oml.meta.pdf')
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2014-05-04 17:26:43 +00:00
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def cover(pdf):
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if sys.platform == 'darwin':
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return ql_cover(pdf)
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else:
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return page(pdf, 1)
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def ql_cover(pdf):
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tmp = tempfile.mkdtemp()
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cmd = [
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'qlmanage',
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'-t',
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'-s',
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'1024',
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'-o',
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tmp,
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pdf
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]
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p = subprocess.Popen(cmd)
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p.wait()
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image = glob('%s/*' % tmp)[0]
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with open(image, 'rb') as fd:
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data = fd.read()
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shutil.rmtree(tmp)
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return data
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def page(pdf, page):
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image = tempfile.mkstemp('.jpg')[1]
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cmd = [
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'gs', '-q',
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'-dBATCH', '-dSAFER', '-dNOPAUSE', '-dNOPROMPT',
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'-dMaxBitmap=500000000',
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'-dAlignToPixels=0', '-dGridFitTT=2',
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'-sDEVICE=jpeg', '-dTextAlphaBits=4', '-dGraphicsAlphaBits=4',
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'-r72',
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'-dUseCropBox',
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'-dFirstPage=%d' % page,
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'-dLastPage=%d' % page,
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'-sOutputFile=%s' % image,
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pdf
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]
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p = subprocess.Popen(cmd)
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p.wait()
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with open(image, 'rb') as fd:
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data = fd.read()
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os.unlink(image)
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return data
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def info(pdf):
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data = {}
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with open(pdf, 'rb') as fd:
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try:
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pdfreader = PdfFileReader(fd)
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2014-05-18 23:24:04 +00:00
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data['pages'] = pdfreader.numPages
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2014-05-04 17:26:43 +00:00
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info = pdfreader.getDocumentInfo()
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if info:
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for key in info:
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2014-05-18 23:24:04 +00:00
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print key, info
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2014-05-04 17:26:43 +00:00
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if info[key]:
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data[key[1:].lower()] = info[key]
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xmp =pdfreader.getXmpMetadata()
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if xmp:
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for key in dir(xmp):
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if key.startswith('dc_'):
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value = getattr(xmp, key)
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if isinstance(value, dict) and 'x-default' in value:
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value = value['x-default']
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elif isinstance(value, list):
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value = [v.strip() for v in value if v.strip()]
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_key = key[3:]
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if value and _key not in data:
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data[_key] = value
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except:
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2014-05-18 03:01:24 +00:00
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logger.debug('FAILED TO PARSE %s', pdf, exc_info=1)
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2014-05-04 17:26:43 +00:00
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if 'identifier' in data:
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value = normalize_isbn(data['identifier'])
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if stdnum.isbn.is_valid(value):
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data['isbn'] = value
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del data['identifier']
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'''
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cmd = ['pdfinfo', pdf]
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p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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stdout, stderr = p.communicate()
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for line in stdout.strip().split('\n'):
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parts = line.split(':')
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key = parts[0].lower().strip()
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if key:
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data[key] = ':'.join(parts[1:]).strip()
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for key in data.keys():
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if not data[key]:
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del data[key]
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'''
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text = extract_text(pdf)
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data['textsize'] = len(text)
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if settings.server['extract_text']:
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if not 'isbn' in data:
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isbn = extract_isbn(text)
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if isbn:
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data['isbn'] = isbn
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return data
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'''
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#possbile alternative with gs
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tmp = tempfile.mkstemp('.txt')[1]
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cmd = ['gs', '-dBATCH', '-dNOPAUSE', '-sDEVICE=txtwrite', '-dFirstPage=3', '-dLastPage=5', '-sOutputFile=%s'%tmp, pdf]
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'''
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def extract_text(pdf):
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if sys.platform == 'darwin':
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2014-05-16 17:08:10 +00:00
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cmd = ['/usr/bin/mdimport', '-d2', pdf]
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2014-05-04 17:26:43 +00:00
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else:
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cmd = ['pdftotext', pdf, '-']
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p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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stdout, stderr = p.communicate()
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if sys.platform == 'darwin':
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stdout = stderr.split('kMDItemTextContent = "')[-1].split('\n')[0][:-2]
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return stdout.strip()
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def extract_isbn(text):
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isbns = find_isbns(text)
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if isbns:
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return isbns[0]
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