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Removed pdftotext from the requirements, move unpaper calling to the OCR app

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This commit is contained in:
Roberto Rosario
2011-07-18 04:06:19 -04:00
parent ac43e294b3
commit 5bfd607b31
5 changed files with 89 additions and 114 deletions
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apps/converter/api.py
-49
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@@ -5,8 +5,6 @@ import hashlib
from common import TEMPORARY_DIRECTORY
from documents.utils import document_save_to_temp_dir
from converter.conf.settings import UNPAPER_PATH
from converter.conf.settings import OCR_OPTIONS
from converter.conf.settings import UNOCONV_PATH
from converter.exceptions import UnpaperError, OfficeConversionError
from converter.literals import DEFAULT_PAGE_NUMBER, \
@@ -36,21 +34,6 @@ def cleanup(filename):
pass
def execute_unpaper(input_filepath, output_filepath):
"""
Executes the program unpaper using subprocess's Popen
"""
command = []
command.append(UNPAPER_PATH)
command.append(u'--overwrite')
command.append(input_filepath)
command.append(output_filepath)
proc = subprocess.Popen(command, close_fds=True, stderr=subprocess.PIPE)
return_code = proc.wait()
if return_code != 0:
raise UnpaperError(proc.stderr.readline())
def execute_unoconv(input_filepath, arguments=''):
"""
Executes the program unoconv using subprocess's Popen
@@ -164,38 +147,6 @@ def get_document_dimensions(document, *args, **kwargs):
return [0, 0]
def convert_document_for_ocr(document, page=DEFAULT_PAGE_NUMBER, file_format=DEFAULT_OCR_FILE_FORMAT):
#Extract document file
input_filepath = document_save_to_temp_dir(document, document.uuid)
#Convert for OCR
temp_filename, separator = os.path.splitext(os.path.basename(input_filepath))
temp_path = os.path.join(TEMPORARY_DIRECTORY, temp_filename)
transformation_output_file = u'%s_trans%s%s%s' % (temp_path, page, os.extsep, file_format)
unpaper_input_file = u'%s_unpaper_in%s%spnm' % (temp_path, page, os.extsep)
unpaper_output_file = u'%s_unpaper_out%s%spnm' % (temp_path, page, os.extsep)
convert_output_file = u'%s_ocr%s%s%s' % (temp_path, page, os.extsep, file_format)
try:
document_page = document.documentpage_set.get(page_number=page)
transformations, warnings = document_page.get_transformation_list()
#Apply default transformations
backend.convert_file(input_filepath=input_filepath, page=page, quality=QUALITY_HIGH, transformations=transformations, output_filepath=transformation_output_file)
#Do OCR operations
backend.convert_file(input_filepath=transformation_output_file, arguments=OCR_OPTIONS, output_filepath=unpaper_input_file)
# Process by unpaper
execute_unpaper(input_filepath=unpaper_input_file, output_filepath=unpaper_output_file)
# Convert to tif
backend.convert_file(input_filepath=unpaper_output_file, output_filepath=convert_output_file)
finally:
cleanup(transformation_output_file)
cleanup(unpaper_input_file)
cleanup(unpaper_output_file)
return convert_output_file
def get_available_transformations_choices():
result = []
for transformation in backend.get_available_transformations():