import logging from pathlib import Path import os import pprint as pp import re import shutil import time from datetime import date, datetime from os.path import basename, dirname, join from pathlib import Path from cleantext import clean from doctr.io import DocumentFile from doctr.models import ocr_predictor from libretranslatepy import LibreTranslateAPI from natsort import natsorted from spellchecker import SpellChecker from tqdm.auto import tqdm import nltk import contextlib import img2pdf from PIL import Image nltk.download("stopwords") # TODO=find where this requirement originates from def simple_rename(filepath, target_ext=".txt"): _fp = Path(filepath) basename = _fp.stem return f"OCR_{basename}_{target_ext}" def convert_image_to_pdf(image_path,model=None): print(image_path) pdf_path = image_path.replace('.jpg','.pdf') print(pdf_path) image = Image.open(image_path) pdf_bytes = img2pdf.convert(image.filename) file = open(pdf_path, "wb") file.write(pdf_bytes) image.close() file.close() return convert_PDF_to_Text(PDF_file=pdf_path,ocr_model=model) def rm_local_text_files(name_contains="RESULT_"): """ rm_local_text_files - remove local text files Args: name_contains (str, optional): [description]. Defaults to "OCR_". """ files = [ f for f in Path.cwd().iterdir() if f.is_file() and f.suffix == ".txt" and name_contains in f.name ] logging.info(f"removing {len(files)} text files") for f in files: os.remove(f) logging.info("done") def corr( s: str, add_space_when_numerics=False, exceptions=["e.g.", "i.e.", "etc.", "cf.", "vs.", "p."], ) -> str: """corrects spacing in a string Args: s (str): the string to correct add_space_when_numerics (bool, optional): [add a space when a period is between two numbers, example 5.73]. Defaults to False. exceptions (list, optional): [do not change these substrings]. Defaults to ['e.g.', 'i.e.', 'etc.', 'cf.', 'vs.', 'p.']. Returns: str: the corrected string """ if add_space_when_numerics: s = re.sub(r"(\d)\.(\d)", r"\1. \2", s) s = re.sub(r"\s+", " ", s) s = re.sub(r'\s([?.!"](?:\s|$))', r"\1", s) # fix space before apostrophe s = re.sub(r"\s\'", r"'", s) # fix space after apostrophe s = re.sub(r"'\s", r"'", s) # fix space before comma s = re.sub(r"\s,", r",", s) for e in exceptions: expected_sub = re.sub(r"\s", "", e) s = s.replace(expected_sub, e) return s def fix_punct_spaces(string): """ fix_punct_spaces - replace spaces around punctuation with punctuation. For example, "hello , there" -> "hello, there" Parameters ---------- string : str, required, input string to be corrected Returns ------- str, corrected string """ fix_spaces = re.compile(r"\s*([?!.,]+(?:\s+[?!.,]+)*)\s*") string = fix_spaces.sub(lambda x: "{} ".format(x.group(1).replace(" ", "")), string) string = string.replace(" ' ", "'") string = string.replace(' " ', '"') return string.strip() def clean_OCR(ugly_text: str): """ clean_OCR - clean the OCR text files. Parameters ---------- ugly_text : str, required, input string to be cleaned Returns ------- str, cleaned string """ # Remove all the newlines. cleaned_text = ugly_text.replace("\n", " ") # Remove all the tabs. cleaned_text = cleaned_text.replace("\t", " ") # Remove all the double spaces. cleaned_text = cleaned_text.replace(" ", " ") # Remove all the spaces at the beginning of the text. cleaned_text = cleaned_text.lstrip() # remove all instances of "- " and " - " cleaned_text = cleaned_text.replace("- ", "") cleaned_text = cleaned_text.replace(" -", "") return fix_punct_spaces(cleaned_text) def move2completed(from_dir, filename, new_folder="completed", verbose=False): # this is the better version old_filepath = join(from_dir, filename) new_filedirectory = join(from_dir, new_folder) if not os.path.isdir(new_filedirectory): os.mkdir(new_filedirectory) if verbose: print("created new directory for files at: \n", new_filedirectory) new_filepath = join(new_filedirectory, filename) try: shutil.move(old_filepath, new_filepath) logging.info("successfully moved the file {} to */completed.".format(filename)) except: logging.info( "ERROR! unable to move file to \n{}. Please investigate".format( new_filepath ) ) """## pdf2text functions """ custom_replace_list = { "t0": "to", "'$": "'s", ",,": ", ", "_ ": " ", " '": "'", } replace_corr_exceptions = { "i. e.": "i.e.", "e. g.": "e.g.", "e. g": "e.g.", " ,": ",", } spell = SpellChecker() def check_word_spelling(word: str) -> bool: """ check_word_spelling - check the spelling of a word Args: word (str): word to check Returns: bool: True if word is spelled correctly, False if not """ misspelled = spell.unknown([word]) return len(misspelled) == 0 def eval_and_replace(text: str, match_token: str = "- ") -> str: """ eval_and_replace - conditionally replace all instances of a substring in a string based on whether the eliminated substring results in a valid word Args: text (str): text to evaluate match_token (str, optional): token to replace. Defaults to "- ". Returns: str: text with replaced tokens """ try: if match_token not in text: return text else: while True: full_before_text = text.split(match_token, maxsplit=1)[0] before_text = [ char for char in full_before_text.split()[-1] if char.isalpha() ] before_text = "".join(before_text) full_after_text = text.split(match_token, maxsplit=1)[-1] after_text = [char for char in full_after_text.split()[0] if char.isalpha()] after_text = "".join(after_text) full_text = before_text + after_text if check_word_spelling(full_text): text = full_before_text + full_after_text else: text = full_before_text + " " + full_after_text if match_token not in text: break except Exception as e: logging.error(f"Error spell-checking OCR output, returning default text:\t{e}") return text def cleantxt_ocr(ugly_text, lower=False, lang: str = "en") -> str: """ cleantxt_ocr - clean text from OCR Args: ugly_text (str): text to clean lower (bool, optional): _description_. Defaults to False. lang (str, optional): _description_. Defaults to "en". Returns: str: cleaned text """ # a wrapper for clean text with options different than default # https://pypi.org/project/clean-text/ cleaned_text = clean( ugly_text, fix_unicode=True, # fix various unicode errors to_ascii=True, # transliterate to closest ASCII representation lower=lower, # lowercase text no_line_breaks=True, # fully strip line breaks as opposed to only normalizing them no_urls=True, # replace all URLs with a special token no_emails=False, # replace all email addresses with a special token no_phone_numbers=False, # replace all phone numbers with a special token no_numbers=False, # replace all numbers with a special token no_digits=False, # replace all digits with a special token no_currency_symbols=False, # replace all currency symbols with a special token no_punct=False, # remove punctuations replace_with_punct="", # instead of removing punctuations you may replace them replace_with_url="", replace_with_email="", replace_with_phone_number="", replace_with_number="", replace_with_digit="0", replace_with_currency_symbol="", lang=lang, # set to 'de' for German special handling ) return cleaned_text def format_ocr_out(OCR_data): if isinstance(OCR_data, list): text = " ".join(OCR_data) else: text = str(OCR_data) _clean = cleantxt_ocr(text) return corr(_clean) def postprocess(text: str) -> str: """to be used after recombining the lines""" proc = corr(cleantxt_ocr(text)) for k, v in custom_replace_list.items(): proc = proc.replace(str(k), str(v)) proc = corr(proc) for k, v in replace_corr_exceptions.items(): proc = proc.replace(str(k), str(v)) return eval_and_replace(proc) def result2text(result, as_text=False): """Convert OCR result to text""" full_doc = [] for i, page in enumerate(result.pages, start=1): text = "" for block in page.blocks: text += "\n\t" for line in block.lines: for word in line.words: # print(dir(word)) text += word.value + " " full_doc.append(text) return "\n".join(full_doc) if as_text else full_doc def convert_PDF_to_Text( PDF_file, ocr_model=None, max_pages: int = 20, ): st = time.perf_counter() PDF_file = Path(PDF_file) ocr_model = ocr_predictor(pretrained=True) if ocr_model is None else ocr_model logging.info(f"starting OCR on {PDF_file.name}") doc = DocumentFile.from_pdf(PDF_file) truncated = False if len(doc) > max_pages: logging.warning( f"PDF has {len(doc)} pages, which is more than {max_pages}.. truncating" ) doc = doc[:max_pages] truncated = True # Analyze logging.info(f"running OCR on {len(doc)} pages") result = ocr_model(doc) raw_text = result2text(result) proc_text = [format_ocr_out(r) for r in raw_text] fin_text = [postprocess(t) for t in proc_text] ocr_results = "\n\n".join(fin_text) fn_rt = time.perf_counter() - st logging.info("OCR complete") results_dict = { "num_pages": len(doc), "runtime": round(fn_rt, 2), "date": str(date.today()), "converted_text": ocr_results, "truncated": truncated, "length": len(ocr_results), } return results_dict # @title translation functions lt = LibreTranslateAPI("https://translate.astian.org/") def translate_text(text, source_l, target_l="en"): return str(lt.translate(text, source_l, target_l)) def translate_doc(filepath, lang_start, lang_end="en", verbose=False): """translate a document from lang_start to lang_end {'code': 'en', 'name': 'English'}, {'code': 'fr', 'name': 'French'}, {'code': 'de', 'name': 'German'}, {'code': 'it', 'name': 'Italian'},""" src_folder = dirname(filepath) src_folder = Path(src_folder) trgt_folder = src_folder / f"translated_{lang_end}" trgt_folder.mkdir(exist_ok=True) with open(filepath, "r", encoding="utf-8", errors="ignore") as f: foreign_t = f.readlines() in_name = basename(filepath) translated_doc = [] for line in tqdm( foreign_t, total=len(foreign_t), desc="translating {}...".format(in_name[:10]) ): translated_line = translate_text(line, lang_start, lang_end) translated_doc.append(translated_line) t_out_name = "[To {}]".format(lang_end) + simple_rename(in_name) + ".txt" out_path = join(trgt_folder, t_out_name) with open(out_path, "w", encoding="utf-8", errors="ignore") as f_o: f_o.writelines(translated_doc) if verbose: print("finished translating the document! - ", datetime.now()) return out_path