from json import loads from pathlib import Path from pkg_resources import resource_string from re import sub as re_sub import pandas as pd from PIL import Image from ocrd import Processor from ocrd_utils import getLogger, make_file_id, assert_file_grp_cardinality, MIMETYPE_PAGE from ocrd_models import OcrdExif from ocrd_models.constants import NAMESPACES as NS from ocrd_models.ocrd_page import TextEquivType, to_xml from ocrd_modelfactory import page_from_file from .cli import page2tsv OCRD_TOOL = loads(resource_string(__name__, 'ocrd-tool.json')) class OcrdNeatExportProcessor(Processor): def __init__(self, *args, **kwargs): kwargs['ocrd_tool'] = OCRD_TOOL['tools']['ocrd-neat-export'] kwargs['version'] = OCRD_TOOL['version'] super().__init__(*args, **kwargs) def process(self): """ Convert PAGE-XML to TSV loadable by the neat GT editor. """ log = getLogger('ocrd_neat.export') assert_file_grp_cardinality(self.input_file_grp, 1) assert_file_grp_cardinality(self.output_file_grp, 1) iiif_url_template = self.parameter['iiif_url_template'] noproxy = self.parameter['noproxy'] ppn_found = self.workspace.mets._tree.find('//mods:recordIdentifier[@source="gbv-ppn"]', NS) if ppn_found is not None: ppn = ppn_found.text else: ppn = '' for n, input_file in enumerate(self.input_files): page_id = input_file.pageId or input_file.ID log.info('Processing: %d / %s of %d', n, page_id, len(list(self.input_files))) file_id = make_file_id(input_file, self.output_file_grp) pcgts = page_from_file(self.workspace.download_file(input_file)) page = pcgts.get_Page() iiif_url = iiif_url_template\ .replace('{{ unique_identifier }}', self.workspace.mets.unique_identifier)\ .replace('{{ PPN }}', ppn)\ .replace('{{ page_id }}', page_id)\ .replace('{{ page_no }}', re_sub('[^0-9]', '', page_id)) Path(self.output_file_grp).mkdir(exist_ok=True) tsv_filepath = Path(self.output_file_grp, file_id + '.tsv') page2tsv(input_file.local_filename, tsv_filepath, 'OCR', iiif_url, None, None, noproxy, 1.0, None, None, None, 1) self.workspace.add_file( file_id=file_id, file_grp=self.output_file_grp, page_id=page_id, mimetype='text/tab-separated-values', local_filename=str(tsv_filepath)) class OcrdNeatImportProcessor(Processor): def __init__(self, *args, **kwargs): kwargs['ocrd_tool'] = OCRD_TOOL['tools']['ocrd-neat-import'] kwargs['version'] = OCRD_TOOL['version'] super().__init__(*args, **kwargs) def process(self): """ Merge neat TSV results back into PAGE-XML. """ log = getLogger('ocrd_neat.import') assert_file_grp_cardinality(self.input_file_grp, 2) assert_file_grp_cardinality(self.output_file_grp, 1) keep_words = self.parameter['keep_words'] for n, (page_in_file, tsv_file) in enumerate(self.zip_input_files()): page_id = page_in_file.pageId or page_in_file.ID log.info('Processing: %d / %s of %d', n, page_id, len(list(self.zip_input_files()))) file_id = make_file_id(page_in_file, self.output_file_grp) pcgts = page_from_file(self.workspace.download_file(page_in_file)) page = pcgts.get_Page() tsv = pd.read_csv(tsv_file.local_filename, sep='\t', comment='#', quoting=3) id_to_text = {} for _, row in tsv.iterrows(): if str(row.TEXT).strip(): id_to_text[row.line_id] = row.TEXT for textline in page.get_AllTextLines(): if textline.id in id_to_text: textline.set_TextEquiv([TextEquivType(Unicode=id_to_text[textline.id])]) if not keep_words: textline.set_Word([]) self.add_metadata(pcgts) pcgts.set_pcGtsId(file_id) self.workspace.add_file( file_id=file_id, file_grp=self.output_file_grp, page_id=page_id, mimetype=MIMETYPE_PAGE, local_filename="%s/%s.xml" % (self.output_file_grp, file_id), content=to_xml(pcgts) )