#!/usr/bin/env python3 # © 2016 James R. Barlow: github.com/jbarlow83 from contextlib import suppress from tempfile import mkdtemp from functools import partial import sys import os import re import shutil import warnings import multiprocessing import atexit import textwrap import img2pdf import logging import argparse import PyPDF2 as pypdf from PIL import Image from ruffus import formatter, regex, Pipeline, suffix from .hocrtransform import HocrTransform from .pageinfo import pdf_get_all_pageinfo from .pdfa import generate_pdfa_def, file_claims_pdfa from .helpers import re_symlink, is_iterable_notstr, page_number from .exec import ghostscript, tesseract, qpdf from .exceptions import * from . import leptonica from . import PROGRAM_NAME, VERSION VECTOR_PAGE_DPI = 400 # ------------- # Pipeline state manager class JobContext: """Holds our context for a particular run of the pipeline A multiprocessing manager effectively creates a separate process that keeps the master job context object. Other threads access job context via multiprocessing proxy objects. While this would naturally lend itself @property's it seems to make a little more sense to use functions to make it explicitly that the invocation requires marshalling data across a process boundary. """ def __init__(self): self.pdfinfo = [] def get_pdfinfo(self): "What we know about the input PDF" return self.pdfinfo def set_pdfinfo(self, pdfinfo): self.pdfinfo = pdfinfo def get_options(self): return self.options def set_options(self, options): self.options = options def get_work_folder(self): return self.work_folder def set_work_folder(self, work_folder): self.work_folder = work_folder from multiprocessing.managers import BaseManager class JobContextManager(BaseManager): pass def cleanup_working_files(work_folder, options): if options.keep_temporary_files: print("Temporary working files saved at:\n{0}".format(work_folder), file=sys.stderr) else: with suppress(FileNotFoundError): shutil.rmtree(work_folder) # # The Pipeline # def triage_image_file(input_file, output_file, log, options): try: log.info("Input file is not a PDF, checking if it is an image...") im = Image.open(input_file) except EnvironmentError as e: msg = str(e) # Recover the original filename realpath = '' if os.path.islink(input_file): realpath = os.path.realpath(input_file) elif os.path.isfile(input_file): realpath = '' msg = msg.replace(input_file, realpath) log.error(msg) raise UnsupportedImageFormatError() from e else: log.info("Input file is an image") if 'dpi' in im.info: if im.info['dpi'] <= (96, 96) and not options.image_dpi: log.info("Image size: (%d, %d)" % im.size) log.info("Image resolution: (%d, %d)" % im.info['dpi']) log.error( "Input file is an image, but the resolution (DPI) is " "not credible. Estimate the resolution at which the " "image was scanned and specify it using --image-dpi.") raise DpiError() elif not options.image_dpi: log.info("Image size: (%d, %d)" % im.size) log.error( "Input file is an image, but has no resolution (DPI) " "in its metadata. Estimate the resolution at which " "image was scanned and specify it using --image-dpi.") raise DpiError() if 'iccprofile' not in im.info: if im.mode == 'RGB': log.info('Input image has no ICC profile, assuming sRGB') elif im.mode == 'CMYK': log.info('Input CMYK image has no ICC profile, not usable') raise UnsupportedImageFormatError() im.close() try: log.info("Image seems valid. Try converting to PDF...") layout_fun = img2pdf.default_layout_fun if options.image_dpi: layout_fun = img2pdf.get_fixed_dpi_layout_fun( (options.image_dpi, options.image_dpi)) with open(output_file, 'wb') as outf: img2pdf.convert( input_file, layout_fun=layout_fun, with_pdfrw=False, outputstream=outf) log.info("Successfully converted to PDF, processing...") except img2pdf.ImageOpenError as e: log.error(e) raise UnsupportedImageFormatError() from e def triage( input_file, output_file, log, context): try: with open(input_file, 'rb') as f: signature = f.read(4) if signature == b'%PDF': re_symlink(input_file, output_file, log) return except EnvironmentError as e: log.error(e) raise InputFileError() from e options = context.get_options() triage_image_file(input_file, output_file, log, options) def repair_pdf( input_file, output_file, log, context): qpdf.repair(input_file, output_file, log) pdfinfo = pdf_get_all_pageinfo(output_file) context.set_pdfinfo(pdfinfo) log.debug(pdfinfo) def get_pageinfo(input_file, context): pageno = int(os.path.basename(input_file)[0:6]) - 1 pageinfo = context.get_pdfinfo()[pageno] return pageinfo def get_page_dpi(pageinfo, options): "Get the DPI when nonsquare DPI is tolerable" xres = max(pageinfo.get('xres', VECTOR_PAGE_DPI), options.oversample or 0) yres = max(pageinfo.get('yres', VECTOR_PAGE_DPI), options.oversample or 0) return (float(xres), float(yres)) def get_page_square_dpi(pageinfo, options): "Get the DPI when we require xres == yres" return float(max( pageinfo.get('xres', VECTOR_PAGE_DPI), pageinfo.get('yres', VECTOR_PAGE_DPI), options.oversample or 0)) def is_ocr_required(pageinfo, log, options): page = pageinfo['pageno'] + 1 ocr_required = True if not pageinfo['images']: if options.force_ocr and options.oversample: # The user really wants to reprocess this file log.info( "{0:4d}: page has no images - " "rasterizing at {1} DPI because " "--force-ocr --oversample was specified".format( page, options.oversample)) elif options.force_ocr: # Warn the user they might not want to do this log.warning( "{0:4d}: page has no images - " "all vector content will be " "rasterized at {1} DPI, losing some resolution and likely " "increasing file size. Use --oversample to adjust the " "DPI.".format(page, VECTOR_PAGE_DPI)) else: log.info( "{0:4d}: page has no images - " "skipping all processing on this page".format(page)) ocr_required = False elif pageinfo['has_text']: msg = "{0:4d}: page already has text! – {1}" if not options.force_ocr and not options.skip_text: log.error(msg.format(page, "aborting (use --force-ocr to force OCR)")) raise PriorOcrFoundError() elif options.force_ocr: log.info(msg.format(page, "rasterizing text and running OCR anyway")) ocr_required = True elif options.skip_text: log.info(msg.format(page, "skipping all processing on this page")) ocr_required = False if ocr_required and options.skip_big: pixel_count = pageinfo['width_pixels'] * pageinfo['height_pixels'] if pixel_count > (options.skip_big * 1000000): ocr_required = False log.warning( "{0:4d}: page too big, skipping OCR " "({1:.1f} MPixels > {2:.1f} MPixels --skip-big)".format( page, pixel_count / 1000000, options.skip_big)) return ocr_required def split_pages( input_files, output_files, log, context): options = context.get_options() work_folder = context.get_work_folder() if is_iterable_notstr(input_files): input_file = input_files[0] else: input_file = input_files for oo in output_files: with suppress(FileNotFoundError): os.unlink(oo) # If no files were repaired the input will be empty if not input_file: log.error("{0}: file not found or invalid argument".format( options.input_file)) raise InputFileError() pdfinfo = context.get_pdfinfo() npages = len(pdfinfo) qpdf.split_pages(input_file, work_folder, npages) from glob import glob for filename in glob(os.path.join(work_folder, '*.page.pdf')): pageinfo = get_pageinfo(filename, context) alt_suffix = \ '.ocr.page.pdf' if is_ocr_required(pageinfo, log, options) \ else '.skip.page.pdf' re_symlink( filename, os.path.join( work_folder, os.path.basename(filename)[0:6] + alt_suffix), log) def rasterize_preview( input_file, output_file, log, context): ghostscript.rasterize_pdf( input_file=input_file, output_file=output_file, xres=200, yres=200, raster_device='jpeggray', log=log) def orient_page( infiles, output_file, log, context): options = context.get_options() page_pdf = next(ii for ii in infiles if ii.endswith('.page.pdf')) if not options.rotate_pages: re_symlink(page_pdf, output_file, log) return preview = next(ii for ii in infiles if ii.endswith('.preview.jpg')) orient_conf = tesseract.get_orientation( preview, language=options.language, timeout=options.tesseract_timeout, log=log) direction = { 0: '⇧', 90: '⇨', 180: '⇩', 270: '⇦' } apply_correction = False description = '' if orient_conf.confidence >= options.rotate_pages_threshold: if orient_conf.angle != 0: apply_correction = True description = ' - will rotate' else: description = ' - rotation appears correct' else: if orient_conf.angle != 0: description = ' - confidence too low to rotate' else: description = ' - no change' log.info( '{0:4d}: page is facing {1}, confidence {2:.2f}{3}'.format( page_number(preview), direction.get(orient_conf.angle, '?'), orient_conf.confidence, description) ) if not apply_correction: re_symlink(page_pdf, output_file, log) else: writer = pypdf.PdfFileWriter() reader = pypdf.PdfFileReader(page_pdf) page = reader.pages[0] # angle is a clockwise angle, so rotating ccw will correct the error rotated_page = page.rotateCounterClockwise(orient_conf.angle) writer.addPage(rotated_page) with open(output_file, 'wb') as out: writer.write(out) pageno = int(os.path.basename(page_pdf)[0:6]) - 1 pdfinfo = context.get_pdfinfo() pdfinfo[pageno]['rotated'] = orient_conf.angle context.set_pdfinfo(pdfinfo) def rasterize_with_ghostscript( input_file, output_file, log, context): options = context.get_options() pageinfo = get_pageinfo(input_file, context) device = 'png16m' # 24-bit if all(image['comp'] == 1 for image in pageinfo['images']): if all(image['bpc'] == 1 for image in pageinfo['images']): device = 'pngmono' elif all(image['bpc'] > 1 and image['color'] == 'index' for image in pageinfo['images']): device = 'png256' elif all(image['bpc'] > 1 and image['color'] == 'gray' for image in pageinfo['images']): device = 'pnggray' log.debug("Rasterize {0} with {1}".format( os.path.basename(input_file), device)) # Produce the page image with square resolution or else deskew and OCR # will not work properly dpi = get_page_square_dpi(pageinfo, options) ghostscript.rasterize_pdf( input_file, output_file, xres=dpi, yres=dpi, raster_device=device, log=log) def preprocess_remove_background( input_file, output_file, log, context): options = context.get_options() if not options.remove_background: re_symlink(input_file, output_file, log) return pageinfo = get_pageinfo(input_file, context) if any(image['bpc'] > 1 for image in pageinfo['images']): leptonica.remove_background(input_file, output_file) else: log.info("{0:4d}: background removal skipped on mono page".format( pageinfo['pageno'])) re_symlink(input_file, output_file, log) def preprocess_deskew( input_file, output_file, log, context): options = context.get_options() if not options.deskew: re_symlink(input_file, output_file, log) return pageinfo = get_pageinfo(input_file, context) dpi = get_page_square_dpi(pageinfo, options) leptonica.deskew(input_file, output_file, dpi) def preprocess_clean( input_file, output_file, log, context): options = context.get_options() if not options.clean: re_symlink(input_file, output_file, log) return from .exec import unpaper pageinfo = get_pageinfo(input_file, context) dpi = get_page_square_dpi(pageinfo, options) unpaper.clean(input_file, output_file, dpi, log) def ocr_tesseract_hocr( input_file, output_file, log, context): options = context.get_options() tesseract.generate_hocr( input_file=input_file, output_hocr=output_file, language=options.language, tessconfig=options.tesseract_config, timeout=options.tesseract_timeout, pageinfo_getter=partial(get_pageinfo, input_file, context), pagesegmode=options.tesseract_pagesegmode, log=log ) def select_image_for_pdf( infiles, output_file, log, context): options = context.get_options() if options.clean_final: image_suffix = '.pp-clean.png' elif options.deskew: image_suffix = '.pp-deskew.png' elif options.remove_background: image_suffix = '.pp-background.png' else: image_suffix = '.page.png' image = next(ii for ii in infiles if ii.endswith(image_suffix)) pageinfo = get_pageinfo(image, context) if all(orig_image['enc'] == 'jpeg' for orig_image in pageinfo['images']): # If all images were JPEGs originally, produce a JPEG as output im = Image.open(image) # At this point the image should be a .png, but deskew, unpaper might # have removed the DPI information. In this case, fall back to square # DPI used to rasterize. When the preview image was rasterized, it # was also converted to square resolution, which is what we want to # give tesseract, so keep it square. fallback_dpi = get_page_square_dpi(pageinfo, options) dpi = im.info.get('dpi', (fallback_dpi, fallback_dpi)) # Pillow requires integer DPI dpi = round(dpi[0]), round(dpi[1]) im.save(output_file, format='JPEG', dpi=dpi) else: re_symlink(image, output_file, log) def select_image_layer( infiles, output_file, log, context): options = context.get_options() page_pdf = next(ii for ii in infiles if ii.endswith('.ocr.oriented.pdf')) image = next(ii for ii in infiles if ii.endswith('.image')) if options.lossless_reconstruction: log.debug("{:4d}: page eligible for lossless reconstruction".format( page_number(page_pdf))) re_symlink(page_pdf, output_file, log) else: pageinfo = get_pageinfo(image, context) dpi = get_page_dpi(pageinfo, options) dpi = float(dpi[0]), float(dpi[1]) layout_fun = img2pdf.get_fixed_dpi_layout_fun(dpi) with open(image, 'rb') as imfile, \ open(output_file, 'wb') as pdf: rawdata = imfile.read() log.debug('{:4d}: convert'.format(page_number(page_pdf))) img2pdf.convert( rawdata, with_pdfrw=False, layout_fun=layout_fun, outputstream=pdf) log.debug('{:4d}: convert done'.format(page_number(page_pdf))) def render_hocr_page( input_file, output_file, log, context): options = context.get_options() hocr = input_file pageinfo = get_pageinfo(hocr, context) dpi = get_page_square_dpi(pageinfo, options) hocrtransform = HocrTransform(hocr, dpi) hocrtransform.to_pdf(output_file, imageFileName=None, showBoundingboxes=False, invisibleText=True) def render_hocr_debug_page( infiles, output_file, log, context): options = context.get_options() hocr = next(ii for ii in infiles if ii.endswith('.hocr')) image = next(ii for ii in infiles if ii.endswith('.image')) pageinfo = get_pageinfo(image, context) dpi = get_page_square_dpi(pageinfo, options) hocrtransform = HocrTransform(hocr, dpi) hocrtransform.to_pdf(output_file, imageFileName=None, showBoundingboxes=True, invisibleText=False) def add_text_layer( infiles, output_file, log, context): text = next(ii for ii in infiles if ii.endswith('.hocr.pdf')) image = next(ii for ii in infiles if ii.endswith('.image-layer.pdf')) pdf_text = pypdf.PdfFileReader(open(text, "rb")) pdf_image = pypdf.PdfFileReader(open(image, "rb")) page_text = pdf_text.getPage(0) # The text page always will be oriented up by this stage # but if lossless_reconstruction, pdf_image may have a rotation applied # We have to eliminate the /Rotate tag (because it applies to the whole # page) and rotate the image layer to match the text page # Also, pdf_image may not have its mediabox nailed to (0, 0), so may need # translation page_image = pdf_image.getPage(0) try: # pypdf DictionaryObject.get() does not resolve indirect objects but # __getitem__ does rotation = page_image['/Rotate'] except KeyError: rotation = 0 # /Rotate is a clockwise rotation: 90 means page facing "east" # The negative of this value is the angle that eliminates that rotation rotation = -rotation % 360 x1 = page_image.mediaBox.getLowerLeft_x() x2 = page_image.mediaBox.getUpperRight_x() y1 = page_image.mediaBox.getLowerLeft_y() y2 = page_image.mediaBox.getUpperRight_y() # Rotation occurs about the page's (0, 0). Most pages will have the media # box at (0, 0) with all content in the first quadrant but some cropped # files may have an offset mediabox. We translate the page so that its # bottom left corner after rotation is pinned to (0, 0) with the image # in the first quadrant. if rotation == 0: tx, ty = -x1, -y1 elif rotation == 90: tx, ty = y2, -x1 elif rotation == 180: tx, ty = x2, y2 elif rotation == 270: tx, ty = -y1, x2 else: pass if rotation != 0: log.info("{0:4d}: rotating image layer {1} degrees".format( page_number(image), rotation, tx, ty)) try: page_text.mergeRotatedScaledTranslatedPage( page_image, rotation, 1.0, tx, ty, expand=False) except (AttributeError, ValueError) as e: if 'writeToStream' in str(e) or 'invalid literal' in str(e): raise PdfMergeFailedError() from e pdf_output = pypdf.PdfFileWriter() pdf_output.addPage(page_text) with open(output_file, "wb") as out: pdf_output.write(out) def tesseract_ocr_and_render_pdf( input_files, output_file, log, context): options = context.get_options() input_image = next((ii for ii in input_files if ii.endswith('.image')), '') input_pdf = next((ii for ii in input_files if ii.endswith('.pdf'))) if not input_image: # Skipping this page re_symlink(input_pdf, output_file, log) return tesseract.generate_pdf( input_image=input_image, skip_pdf=input_pdf, output_pdf=output_file, language=options.language, tessconfig=options.tesseract_config, timeout=options.tesseract_timeout, pagesegmode=options.tesseract_pagesegmode, log=log) def get_pdfmark(base_pdf, options): def from_document_info(key): # pdf.documentInfo.get() DOES NOT behave as expected for a dict-like # object, so call with precautions. TypeError may occur if the PDF # is missing the optional document info section. try: s = base_pdf.documentInfo[key] return str(s) except (KeyError, TypeError): return '' pdfmark = { '/Title': from_document_info('/Title'), '/Author': from_document_info('/Author'), '/Keywords': from_document_info('/Keywords'), '/Subject': from_document_info('/Subject'), } if options.title: pdfmark['/Title'] = options.title if options.author: pdfmark['/Author'] = options.author if options.keywords: pdfmark['/Keywords'] = options.keywords if options.subject: pdfmark['/Subject'] = options.subject pdfmark['/Creator'] = '{0} {1} / Tesseract OCR{2} {3}'.format( PROGRAM_NAME, VERSION, '+PDF' if options.pdf_renderer == 'tesseract' else '', tesseract.version()) return pdfmark def generate_postscript_stub( input_file, output_file, log, context): options = context.get_options() pdf = pypdf.PdfFileReader(input_file) pdfmark = get_pdfmark(pdf, options) generate_pdfa_def(output_file, pdfmark) def skip_page( input_file, output_file, log): # The purpose of this step is its filter to forward only the skipped # files (.skip.oriented.pdf) while disregarding the processed ones # (.ocr.oriented.pdf). Alternative would be for merge_pages to filter # pages itself if it gets multiple copies of a page. re_symlink(input_file, output_file, log) def merge_pages_ghostscript( input_files, output_file, log, context): options = context.get_options() def input_file_order(s): '''Sort order: All rendered pages followed by their debug page, if any, followed by Postscript stub. Ghostscript documentation has the Postscript stub at the beginning, but it works at the end and also gets document info right that way.''' if s.endswith('.ps'): return 99999999 key = int(os.path.basename(s)[0:6]) * 10 if 'debug' in os.path.basename(s): key += 1 return key pdf_pages = sorted(input_files, key=input_file_order) log.debug("Final pages: " + "\n".join(pdf_pages)) ghostscript.generate_pdfa(pdf_pages, output_file, log, options.jobs or 1) def merge_pages_qpdf( input_files, output_file, log, context): options = context.get_options() metadata_file = next( (ii for ii in input_files if ii.endswith('.repaired.pdf'))) input_files.remove(metadata_file) def input_file_order(s): '''Sort order: All rendered pages followed by their debug page.''' key = int(os.path.basename(s)[0:6]) * 10 if 'debug' in os.path.basename(s): key += 1 return key pdf_pages = sorted(input_files, key=input_file_order) log.debug("Final pages: " + "\n".join(pdf_pages)) reader_metadata = pypdf.PdfFileReader(metadata_file) pdfmark = get_pdfmark(reader_metadata, options) pdfmark['/Producer'] = 'qpdf ' + qpdf.version() first_page = pypdf.PdfFileReader(pdf_pages[0]) writer = pypdf.PdfFileWriter() writer.appendPagesFromReader(first_page) writer.addMetadata(pdfmark) writer_file = pdf_pages[0].replace('.pdf', '.metadata.pdf') with open(writer_file, 'wb') as f: writer.write(f) pdf_pages[0] = writer_file qpdf.merge(pdf_pages, output_file) def copy_final( input_files, output_file, log, context): input_file = next((ii for ii in input_files if ii.endswith('.pdf'))) if output_file == '-': from shutil import copyfileobj with open(input_file, 'rb') as input_stream: copyfileobj(input_stream, sys.stdout.buffer) else: shutil.copy(input_file, output_file) def build_pipeline(options, work_folder, log, context): main_pipeline = Pipeline.pipelines['main'] # Triage task_triage = main_pipeline.transform( task_func=triage, input=os.path.join(work_folder, 'origin'), filter=formatter('(?i)'), output=os.path.join(work_folder, 'origin.pdf'), extras=[log, context]) task_repair_pdf = main_pipeline.transform( task_func=repair_pdf, input=task_triage, filter=suffix('.pdf'), output='.repaired.pdf', output_dir=work_folder, extras=[log, context]) # Split (kwargs for split seems to be broken, so pass plain args) task_split_pages = main_pipeline.split( split_pages, task_repair_pdf, os.path.join(work_folder, '*.page.pdf'), extras=[log, context]) # Rasterize preview task_rasterize_preview = main_pipeline.transform( task_func=rasterize_preview, input=task_split_pages, filter=suffix('.page.pdf'), output='.preview.jpg', output_dir=work_folder, extras=[log, context]) task_rasterize_preview.active_if(options.rotate_pages) # Orient task_orient_page = main_pipeline.collate( task_func=orient_page, input=[task_split_pages, task_rasterize_preview], filter=regex(r".*/(\d{6})(\.ocr|\.skip)(?:\.page\.pdf|\.preview\.jpg)"), output=os.path.join(work_folder, r'\1\2.oriented.pdf'), extras=[log, context]) # Rasterize actual task_rasterize_with_ghostscript = main_pipeline.transform( task_func=rasterize_with_ghostscript, input=task_orient_page, filter=suffix('.ocr.oriented.pdf'), output='.page.png', output_dir=work_folder, extras=[log, context]) # Preprocessing subpipeline task_preprocess_remove_background = main_pipeline.transform( task_func=preprocess_remove_background, input=task_rasterize_with_ghostscript, filter=suffix(".page.png"), output=".pp-background.png", extras=[log, context]) task_preprocess_deskew = main_pipeline.transform( task_func=preprocess_deskew, input=task_preprocess_remove_background, filter=suffix(".pp-background.png"), output=".pp-deskew.png", extras=[log, context]) task_preprocess_clean = main_pipeline.transform( task_func=preprocess_clean, input=task_preprocess_deskew, filter=suffix(".pp-deskew.png"), output=".pp-clean.png", extras=[log, context]) # HOCR OCR task_ocr_tesseract_hocr = main_pipeline.transform( task_func=ocr_tesseract_hocr, input=task_preprocess_clean, filter=suffix(".pp-clean.png"), output=".hocr", extras=[log, context]) task_ocr_tesseract_hocr.graphviz(fillcolor='"#00cc66"') task_ocr_tesseract_hocr.active_if(options.pdf_renderer == 'hocr') task_select_image_for_pdf = main_pipeline.collate( task_func=select_image_for_pdf, input=[task_rasterize_with_ghostscript, task_preprocess_remove_background, task_preprocess_deskew, task_preprocess_clean], filter=regex(r".*/(\d{6})(?:\.page|\.pp-.*)\.png"), output=os.path.join(work_folder, r'\1.image'), extras=[log, context]) task_select_image_for_pdf.graphviz(shape='diamond') task_select_image_layer = main_pipeline.collate( task_func=select_image_layer, input=[task_select_image_for_pdf, task_orient_page], filter=regex(r".*/(\d{6})(?:\.image|\.ocr\.oriented\.pdf)"), output=os.path.join(work_folder, r'\1.image-layer.pdf'), extras=[log, context]) task_select_image_layer.graphviz( fillcolor='"#00cc66"', shape='diamond') task_select_image_layer.active_if(options.pdf_renderer == 'hocr') task_render_hocr_page = main_pipeline.transform( task_func=render_hocr_page, input=task_ocr_tesseract_hocr, filter=suffix('.hocr'), output='.hocr.pdf', extras=[log, context]) task_render_hocr_page.graphviz(fillcolor='"#00cc66"') task_render_hocr_page.active_if(options.pdf_renderer == 'hocr') task_render_hocr_debug_page = main_pipeline.collate( task_func=render_hocr_debug_page, input=[task_select_image_for_pdf, task_ocr_tesseract_hocr], filter=regex(r".*/(\d{6})(?:\.image|\.hocr)"), output=os.path.join(work_folder, r'\1.debug.pdf'), extras=[log, context]) task_render_hocr_debug_page.graphviz(fillcolor='"#00cc66"') task_render_hocr_debug_page.active_if(options.pdf_renderer == 'hocr') task_render_hocr_debug_page.active_if(options.debug_rendering) task_add_text_layer = main_pipeline.collate( task_func=add_text_layer, input=[task_render_hocr_page, task_select_image_layer], filter=regex(r".*/(\d{6})(?:\.hocr\.pdf|\.image-layer\.pdf)"), output=os.path.join(work_folder, r'\1.rendered.pdf'), extras=[log, context]) task_add_text_layer.graphviz(fillcolor='"#00cc66"') task_add_text_layer.active_if(options.pdf_renderer == 'hocr') # Tesseract OCR task_tesseract_ocr_and_render_pdf = main_pipeline.collate( task_func=tesseract_ocr_and_render_pdf, input=[task_select_image_for_pdf, task_orient_page], filter=regex(r".*/(\d{6})(?:\.image|\.ocr\.oriented\.pdf)"), output=os.path.join(work_folder, r'\1.rendered.pdf'), extras=[log, context]) task_tesseract_ocr_and_render_pdf.graphviz(fillcolor='"#66ccff"') task_tesseract_ocr_and_render_pdf.active_if(options.pdf_renderer == 'tesseract') # PDF/A task_generate_postscript_stub = main_pipeline.transform( task_func=generate_postscript_stub, input=task_repair_pdf, filter=formatter(r'\.repaired\.pdf'), output=os.path.join(work_folder, 'pdfa_def.ps'), extras=[log, context]) task_generate_postscript_stub.active_if(options.output_type == 'pdfa') # Bypass valve task_skip_page = main_pipeline.transform( task_func=skip_page, input=task_orient_page, filter=suffix('.skip.oriented.pdf'), output='.done.pdf', output_dir=work_folder, extras=[log]) # Merge pages task_merge_pages_ghostscript = main_pipeline.merge( task_func=merge_pages_ghostscript, input=[task_add_text_layer, task_render_hocr_debug_page, task_skip_page, task_tesseract_ocr_and_render_pdf, task_generate_postscript_stub], output=os.path.join(work_folder, 'merged.pdf'), extras=[log, context]) task_merge_pages_ghostscript.active_if(options.output_type == 'pdfa') task_merge_pages_qpdf = main_pipeline.merge( task_func=merge_pages_qpdf, input=[task_add_text_layer, task_render_hocr_debug_page, task_skip_page, task_tesseract_ocr_and_render_pdf, task_repair_pdf], output=os.path.join(work_folder, 'merged.pdf'), extras=[log, context]) task_merge_pages_qpdf.active_if(options.output_type == 'pdf') # Finalize task_copy_final = main_pipeline.merge( task_func=copy_final, input=[task_merge_pages_ghostscript, task_merge_pages_qpdf], output=options.output_file, extras=[log, context])