read_photodocument.py

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="<URL>",
        replace_with_email="<EMAIL>",
        replace_with_phone_number="<PHONE>",
        replace_with_number="<NUM>",
        replace_with_digit="0",
        replace_with_currency_symbol="<CUR>",
        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