201 lines
7.0 KiB
Python
201 lines
7.0 KiB
Python
import os
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import subprocess
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from django.utils.importlib import import_module
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from django.template.defaultfilters import slugify
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from django.core.exceptions import ImproperlyConfigured
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from common import TEMPORARY_DIRECTORY
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from documents.utils import document_save_to_temp_dir
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from converter.conf.settings import UNPAPER_PATH
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from converter.conf.settings import OCR_OPTIONS
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from converter.conf.settings import UNOCONV_PATH
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from converter.exceptions import UnpaperError, OfficeConversionError
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from converter.utils import load_backend
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from converter.literals import DEFAULT_PAGE_INDEX_NUMBER, \
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DEFAULT_OCR_FILE_FORMAT, QUALITY_DEFAULT, DEFAULT_ZOOM_LEVEL, \
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DEFAULT_ROTATION, DEFAULT_FILE_FORMAT, QUALITY_PRINT
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CONVERTER_OFFICE_FILE_EXTENSIONS = [
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u'ods', u'docx', u'doc'
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]
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try:
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backend = load_backend().ConverterClass()
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except ImproperlyConfigured:
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raise ImproperlyConfigured(u'Missing or incorrect converter backend: %s' % GRAPHICS_BACKEND)
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def cleanup(filename):
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"""
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Tries to remove the given filename. Ignores non-existent files
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"""
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try:
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os.remove(filename)
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except OSError:
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pass
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def execute_unpaper(input_filepath, output_filepath):
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"""
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Executes the program unpaper using subprocess's Popen
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"""
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command = []
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command.append(UNPAPER_PATH)
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command.append(u'--overwrite')
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command.append(input_filepath)
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command.append(output_filepath)
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proc = subprocess.Popen(command, close_fds=True, stderr=subprocess.PIPE)
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return_code = proc.wait()
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if return_code != 0:
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raise UnpaperError(proc.stderr.readline())
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def execute_unoconv(input_filepath, arguments=''):
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"""
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Executes the program unoconv using subprocess's Popen
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"""
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command = []
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command.append(UNOCONV_PATH)
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command.extend(unicode(arguments).split())
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command.append(input_filepath)
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proc = subprocess.Popen(command, close_fds=True, stderr=subprocess.PIPE)
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return_code = proc.wait()
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if return_code != 0:
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raise OfficeConversionError(proc.stderr.readline())
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def cache_cleanup(input_filepath, *args, **kwargs):
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try:
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os.remove(create_image_cache_filename(input_filepath, *args, **kwargs))
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except OSError:
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pass
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def create_image_cache_filename(input_filepath, *args, **kwargs):
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if input_filepath:
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temp_filename, separator = os.path.splitext(os.path.basename(input_filepath))
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temp_path = os.path.join(TEMPORARY_DIRECTORY, temp_filename)
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final_filepath = []
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[final_filepath.append(str(arg)) for arg in args]
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final_filepath.extend([u'%s_%s' % (key, value) for key, value in kwargs.items()])
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temp_path += slugify(u'_'.join(final_filepath))
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return temp_path
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else:
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return None
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def convert_office_document(input_filepath):
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if os.path.exists(UNOCONV_PATH):
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execute_unoconv(input_filepath, arguments='-f pdf')
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return input_filepath + u'.pdf'
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return None
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def convert_document(document, *args, **kwargs):
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document_filepath = create_image_cache_filename(document.checksum, *args, **kwargs)
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if os.path.exists(document_filepath):
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return document_filepath
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return convert(document_save_to_temp_dir(document, document.checksum), *args, **kwargs)
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def convert(input_filepath, *args, **kwargs):
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size = kwargs.get('size')
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file_format = kwargs.get('file_format', DEFAULT_FILE_FORMAT)
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extra_options = kwargs.get('extra_options', u'')
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zoom = kwargs.get('zoom', DEFAULT_ZOOM_LEVEL)
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rotation = kwargs.get('rotation', DEFAULT_ROTATION)
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page = kwargs.get('page', DEFAULT_PAGE_INDEX_NUMBER)
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cleanup_files = kwargs.get('cleanup_files', True)
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quality = kwargs.get('quality', QUALITY_DEFAULT)
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unoconv_output = None
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output_filepath = create_image_cache_filename(input_filepath, *args, **kwargs)
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if os.path.exists(output_filepath):
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return output_filepath
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path, extension = os.path.splitext(input_filepath)
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if extension[1:].lower() in CONVERTER_OFFICE_FILE_EXTENSIONS:
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result = convert_office_document(input_filepath)
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if result:
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unoconv_output = result
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input_filepath = result
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extra_options = u''
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input_arg = u'%s[%s]' % (input_filepath, page)
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extra_options += u' -resize %s' % size
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if zoom != 100:
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extra_options += u' -resize %d%% ' % zoom
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if rotation != 0 and rotation != 360:
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extra_options += u' -rotate %d ' % rotation
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if format == u'jpg':
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extra_options += u' -quality 85'
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try:
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backend.convert_file(input_filepath=input_arg, arguments=extra_options, output_filepath=u'%s:%s' % (file_format, output_filepath), quality=quality)
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finally:
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if cleanup_files:
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cleanup(input_filepath)
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if unoconv_output:
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cleanup(unoconv_output)
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return output_filepath
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def get_page_count(input_filepath):
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try:
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return len(backend.identify_file(unicode(input_filepath)).splitlines())
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except:
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#TODO: send to other page number identifying program
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return 1
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def get_document_dimensions(document, *args, **kwargs):
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document_filepath = create_image_cache_filename(document.checksum, *args, **kwargs)
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if os.path.exists(document_filepath):
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options = [u'-format', u'%w %h']
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return [int(dimension) for dimension in backend.identify_file(unicode(document_filepath), options).split()]
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else:
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return [0, 0]
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def convert_document_for_ocr(document, page=DEFAULT_PAGE_INDEX_NUMBER, file_format=DEFAULT_OCR_FILE_FORMAT):
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#Extract document file
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input_filepath = document_save_to_temp_dir(document, document.uuid)
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#Convert for OCR
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temp_filename, separator = os.path.splitext(os.path.basename(input_filepath))
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temp_path = os.path.join(TEMPORARY_DIRECTORY, temp_filename)
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transformation_output_file = u'%s_trans%s%s%s' % (temp_path, page, os.extsep, file_format)
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unpaper_input_file = u'%s_unpaper_in%s%spnm' % (temp_path, page, os.extsep)
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unpaper_output_file = u'%s_unpaper_out%s%spnm' % (temp_path, page, os.extsep)
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convert_output_file = u'%s_ocr%s%s%s' % (temp_path, page, os.extsep, file_format)
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input_arg = u'%s[%s]' % (input_filepath, page)
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try:
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document_page = document.documentpage_set.get(page_number=page + 1)
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transformation_string, warnings = document_page.get_transformation_string()
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#Apply default transformations
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backend.convert_file(input_filepath=input_arg, quality=QUALITY_HIGH, arguments=transformation_string, output_filepath=transformation_output_file)
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#Do OCR operations
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backend.convert_file(input_filepath=transformation_output_file, arguments=OCR_OPTIONS, output_filepath=unpaper_input_file)
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# Process by unpaper
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execute_unpaper(input_filepath=unpaper_input_file, output_filepath=unpaper_output_file)
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# Convert to tif
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backend.convert_file(input_filepath=unpaper_output_file, output_filepath=convert_output_file)
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finally:
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cleanup(transformation_output_file)
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cleanup(unpaper_input_file)
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cleanup(unpaper_output_file)
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return convert_output_file
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