pdf2text.py

# -*- coding: utf-8 -*-
"""

easyocr.py - A wrapper for easyocr to convert pdf to images to text
"""

import logging
from pathlib import Path

logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s %(levelname)s %(message)s",
    datefmt="%m/%d/%Y %I:%M:%S",
)


import gc
import os
import pprint as pp
import re
import shutil
import time
from datetime import datetime
from os.path import basename, isfile, join
from pathlib import Path
import re
import pandas as pd
import wordninja
from cleantext import clean
from natsort import natsorted
from tqdm.auto import tqdm

from doctr.io import DocumentFile
from doctr.models import ocr_predictor
def fast_scandir(dirname):
    # return all subfolders in a given filepath

    subfolders = [f.path for f in os.scandir(dirname) if f.is_dir()]
    for dirname in list(subfolders):
        subfolders.extend(fast_scandir(dirname))
    return subfolders  # list


def create_folder(directory):
    os.makedirs(directory, exist_ok=True)


def simple_rename(filepath, target_ext=".txt"):
    _fp = Path(filepath)
    basename = _fp.stem
    return f"OCR_{basename}_{target_ext}"


def load_dir_files(directory, req_extension=".txt", return_type="list", verbose=False):
    appr_files = []
    # r=root, d=directories, f = files
    for r, d, f in os.walk(directory):
        for prefile in f:
            if prefile.endswith(req_extension):
                fullpath = os.path.join(r, prefile)
                appr_files.append(fullpath)

    appr_files = natsorted(appr_files)

    if verbose:
        print("A list of files in the {} directory are: \n".format(directory))
        if len(appr_files) < 10:
            pp.pprint(appr_files)
        else:
            pp.pprint(appr_files[:10])
            print("\n and more. There are a total of {} files".format(len(appr_files)))

    if return_type.lower() == "list":
        return appr_files
    else:
        if verbose:
            print("returning dictionary")

        appr_file_dict = {}
        for this_file in appr_files:
            appr_file_dict[basename(this_file)] = this_file

        return appr_file_dict


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 is_this_needed_in_output(in_string):
    if in_string.isalnum():
        return True
    elif in_string == ".":
        return True
    elif in_string == " ":
        return True
    elif in_string == "\n":
        return True
    elif in_string == "-":
        return True
    else:
        return False


# @title clean filenames
def cleantxt_wrap(ugly_text, txt_lan="en"):
    # 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=True,  # 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=True,  # replace all email addresses with a special token
        no_phone_numbers=True,  # 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=True,  # replace all currency symbols with a special token
        no_punct=True,  # 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=txt_lan,  # set to 'de' for German special handling
    )

    return cleaned_text


def beautify_filename(
    filename, num_words=25, start_reverse=False, word_separator="_"
) -> str:
    """
    beautify_filename takes a filename and returns a beautified version of it

    Args:
        filename (str): the filename to beautify
        num_words (int, optional): _description_. Defaults to 25.
        start_reverse (bool, optional): _description_. Defaults to False.
        word_separator (str, optional): _description_. Defaults to "_".

    Returns:
        str: the beautified filename
    """

    filename = str(filename)
    index_file_Ext = filename.rfind(".")
    current_name = str(filename)[:index_file_Ext]  # get rid of extension
    if current_name[-1].isnumeric():
        current_name = current_name + "s"
    clean_name = cleantxt_wrap(current_name)
    file_words = wordninja.split(clean_name)
    # splits concatenated text into a list of words based on common word freq
    if len(file_words) <= num_words:
        num_words = len(file_words)

    if start_reverse:
        t_file_words = file_words[-num_words:]
    else:
        t_file_words = file_words[:num_words]

    pretty_name = word_separator.join(t_file_words)  # see function argument

    # NOTE IT DOES NOT RETURN THE EXTENSION
    return pretty_name[
        : (len(pretty_name) - 1)
    ]  # there is a space always at the end, so -1


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)


import os
import shutil
from os.path import join

# @markdown move2completed


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
            )
        )


"""### download files

**old versions**
"""

import re


def URL_string_filter(text):
    custom_printable = (
        "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ._"
    )

    filtered = "".join((filter(lambda i: i in custom_printable, text)))

    return filtered


import shutil  # zipfile formats
from datetime import datetime
from os.path import getsize

import requests

# @markdown old download MAIN


def get_zip_URL(
    URLtoget, extract_loc=None, file_header="dropboxexport_", verbose=False
):

    r = requests.get(URLtoget, allow_redirects=True)
    names = "my_file.zip"
    fixed_fnames = names.split(";")  # split the multiple results
    this_filename = file_header + URL_string_filter(fixed_fnames[0])

    # define paths and save the zip file
    if extract_loc is None:
        extract_loc = "dropbox_dl"
    dl_place = Path.cwd() / extract_loc
    create_folder(dl_place)
    save_loc = Path.cwd() / this_filename
    open(save_loc, "wb").write(r.content)
    if verbose:
        print("downloaded file size was {} MB".format(getsize(save_loc) / 1000000))

    # unpack the archive
    shutil.unpack_archive(save_loc, extract_dir=dl_place)
    if verbose:
        print("extracted zip file - ", datetime.now())
        x = load_dir_files(dl_place, req_extension="", verbose=verbose)
    # remove original
    try:
        os.remove(save_loc)
        del save_loc
    except:
        logging.info(
            "unable to delete original zipfile - check if exists", datetime.now()
        )
    print("finished extracting zip - ", datetime.now())

    return dl_place


"""---

**new versions**
"""

# @markdown downloading URL files with python


def clean_file_name(file_path):
    """helper to clean filenames"""
    file_path = Path(file_path)
    # Remove all non-alphanumeric characters
    cln_base = re.sub(r"[^\w\s]", "", file_path.stem)
    # Replace all spaces with underscores
    cln_base = re.sub(r"\s", "_", cln_base)
    return cln_base + file_path.suffix


def download_URL(url: str, file=None, dlpath=None, verbose=False):
    """
    download_URL - download a file from a URL and show progress bar
    Parameters
    ----------
    url : str,        URL to download
    file : str, optional, default None, name of file to save to. If None, will use the filename from the URL
    dlpath : str, optional, default None, path to save the file to. If None, will save to the current working directory
    verbose : bool, optional, default False, print progress bar
    Returns
    -------
    str - path to the downloaded file
    """

    if file is None:
        if "?dl=" in url:
            # is a dropbox link
            prefile = url.split("/")[-1]
            filename = str(prefile).split("?dl=")[0]
        else:
            filename = url.split("/")[-1]
        file = clean_file_name(filename)
    if dlpath is None:
        dlpath = Path.cwd()  # save to current working directory
    else:
        dlpath = Path(dlpath)  # make a path object
    r = requests.get(url, stream=True, allow_redirects=True)
    total_size = int(r.headers.get("content-length"))
    initial_pos = 0
    dl_loc = dlpath / file
    with open(str(dl_loc.resolve()), "wb") as f:
        with tqdm(
            total=total_size,
            unit="B",
            unit_scale=True,
            desc=file,
            initial=initial_pos,
            ascii=True,
        ) as pbar:
            for ch in r.iter_content(chunk_size=1024):
                if ch:
                    f.write(ch)
                    pbar.update(len(ch))
    if verbose:
        print(f"\ndownloaded {file} to {dlpath}\n")
    return str(dl_loc.resolve())


"""## pdf2text functions

- now uses **easyocr**
- link to [docs](https://www.jaided.ai/easyocr/documentation/)
- the [tutorial](https://www.jaided.ai/easyocr/tutorial/)
- a list of available languages is [here](https://www.jaided.ai/easyocr/)

"""



# need to run only once to load model into memory

custom_replace_list = {
    "t0": "to",
    "'$": "'s",
    ",,": ", ",
    "_ ": " ",
    " '": "'",
}

replace_corr_exceptions = {
    "i. e.": "i.e.",
    "e. g.": "e.g.",
    "e. g": "e.g.",
    " ,": ",",
}

# TODO: add logic to 'corr' function to not add space after period when surrounded
# by numbers, example 5.6

from spellchecker import SpellChecker

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
    """

    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
        return text


def cleantxt_ocr(ugly_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=False,  # 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=True,  # 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="en",  # 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)
    # TODO: upgrade corr() function to handle commas
    # proc = proc.replace(" ,", ",")

    for k, v in replace_corr_exceptions.items():
        proc = proc.replace(str(k), str(v))

    return eval_and_replace(proc)

def result2text(result) -> str:
    """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)



    full_text = "\n".join(full_doc)
    return full_text

import warnings
from datetime import date
from os.path import join


# @title define main fn - `convert_PDF_to_Text()`
# @markdown `convert_PDF_to_Text(PDF_file, multilang=False, use_page_labels=False, saveloc="")`
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)

    if len(doc) > max_pages:
        logging.warning(f"PDF has {len(doc)} pages, which is more than {max_pages}.. truncating")
        doc = doc[:max_pages]

    # Analyze
    logging.info(f"running OCR on {len(doc)} pages")
    result = ocr_model(doc)
    raw_text = result2text(result)
    proc_text = format_ocr_out(raw_text)
    output_text = postprocess(proc_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": output_text,
        "length": len(output_text),
    }

    return results_dict


from os.path import basename, dirname, join

# @title translation functions
from libretranslatepy import LibreTranslateAPI

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)
    trgt_folder = join(src_folder, "translated to {}".format(lang_end))
    create_folder(trgt_folder)
    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


"""translation codes


```


print(lt.languages())
call ^
```

- link to their github [here](https://github.com/argosopentech/LibreTranslate-py)

# Load FIles
"""