GeezerVison

import argparse import math from docx import Document import os import argparse import math from docx import Document import os import spacy import subprocess import sys import re def process_word(word, ratio): # Calculate the number of characters to make bold num_chars = math.ceil(len(word) * ratio) # Split the word into the part that should be bold and the part that shouldn't bold_part = word[:num_chars] normal_part = word[num_chars:] # Create runs for the bold part and the normal part bold_run = (bold_part, True) normal_run = (normal_part, False) # Return the runs as a list return [bold_run, normal_run] def process_document(doc_path, ratio): output_path = os.path.splitext(doc_path)[0] + '_modified.docx' # Check if the file path is for a .docx file if doc_path.endswith('.docx'): print("Already in docx format") elif doc_path.endswith('.pdf'): docx_path = doc_path.replace('.pdf', '.docx') try: # Run the conversion script as a subprocess subprocess.run([sys.executable, 'converter.py', '--pdf', doc_path, '--docx', docx_path]) # Modify this command to run in the absolute path (with relation to this script) to converter.py subprocess.run([sys.executable, 'converter.py', '--pdf', doc_path, '--docx', docx_path]) # Replace '.pdf' with '.docx' in the file path doc_path = docx_path except subprocess.CalledProcessError as e: print("Error converting PDF:", e) sys.exit(1) else: print("Files of this format are not supported yet") print("Please use either .pdf or .docx files") sys.exit() # Load the spacy model for word recognition (wrap in try-except) try: nlp = spacy.load('en_core_web_sm') except OSError as e: print("Error loading spaCy model:", e) sys.exit(1) try: # Open the .docx file word_doc = Document(doc_path) for paragraph in word_doc.paragraphs: for run in paragraph.runs: # Skip if the run is already bold if run.bold: continue # Split the run text into words words = run.text.split(' ') words = [' ' + word if i != 0 else word for i, word in enumerate(words)] # Process each word new_runs = [] for word in words: # Use spacy to recognize the words doc = nlp(word) for token in doc: # Bolden a ratio of the characters in the word runs = process_word(token.text, ratio) new_runs.extend(runs) # Clear the original run run.text = '' # Add new runs with the appropriate formatting for text, is_bold in new_runs: new_run = paragraph.add_run(text) new_run.bold = is_bold # Save the document (wrap in try-except) try: word_doc.save(output_path) except PermissionError as e: print("Error saving document:", e) sys.exit(1) except Exception as e: # Catch any other unexpected errors print("Unexpected error processing document:", e) sys.exit(1) # Get the directory and filename from the input path dir_name, file_name = os.path.split(doc_path) # Prepend 'processed_' to the filename new_file_name = 'processed_' + file_name # Combine the directory and new filename to get the output path # output_path = os.path.splitext(doc_path)[0] + '_modified.docx' print(output_path) def main(): parser = argparse.ArgumentParser() parser.add_argument('doc_path', help='Path to the .docx file') parser.add_argument('--ratio', type=float, default=0.5, help='Ratio of characters to make bold') args = parser.parse_args() process_document(args.doc_path, args.ratio) if __name__ == '__main__': main() # def process_document(doc_path, ratio): # # Check if the file path is for a .docx file # if not doc_path.endswith('.docx'): # print("Invalid file format. Please provide a .docx file.") # return # # Load the spacy model for word recognition # nlp = spacy.load('en_core_web_sm') # # Open the .docx file # doc = Document(doc_path) # for paragraph in doc.paragraphs: # for run in paragraph.runs: # # Skip if the run is already bold # if run.bold: # continue # # Split the run text into words # words = run.text.split() # # Process each word # new_runs = [] # for word in words: # # Use spacy to recognize the words # doc = nlp(word) # for token in doc: # # Bolden a ratio of the characters in the word # runs = process_word(token.text, ratio) # new_runs.extend(runs) # # Clear the original run # run.text = '' # # Add new runs with the appropriate formatting # for text, is_bold in new_runs: # new_run = paragraph.add_run(text) # new_run.bold = is_bold # # Get the directory and filename from the input path # dir_name, file_name = os.path.split(doc_path) # # Prepend 'processed_' to the filename # new_file_name = 'processed_' + file_name # # Combine the directory and new filename to get the output path # output_path = os.path.join(dir_name, new_file_name) # doc.save(output_path) # def process_word(word, ratio): # # Calculate the number of characters to make bold # num_chars = math.ceil(len(word) * ratio) # # Make the specified number of characters bold # bold_word = word[:num_chars] + word[num_chars:].bold() # return bold_word # def process_document(doc_path, ratio): # # Check if the file path is for a .docx file # if not doc_path.endswith('.docx'): # print("Invalid file format. Please provide a .docx file.") # return # # Load the spacy model for word recognition # nlp = spacy.load('en_core_web_sm') # # Open the .docx file # doc = Document(doc_path) # for paragraph in doc.paragraphs: # for run in paragraph.runs: # # Skip if the run is already bold # if run.bold: # continue # # Split the run text into words # words = run.text.split() # # Process each word # new_words = [] # for word in words: # # Use spacy to recognize the words # doc = nlp(word) # for token in doc: # # Bolden a ratio of the characters in the word # bold_word = process_word(token.text, ratio) # new_words.append(bold_word) # # Replace the run text with the processed words # run.text = ' '.join(new_words) # print("processed another paragraph...") # # Get the directory and filename from the input path # dir_name, file_name = os.path.split(doc_path) # # Prepend 'processed_' to the filename # new_file_name = 'processed_' + file_name # # Combine the directory and new filename to get the output path # output_path = os.path.join(dir_name, new_file_name) # doc.save(output_path) # def main(): # parser = argparse.ArgumentParser() # parser.add_argument('doc_path', help='Path to the .docx file') # parser.add_argument('--ratio', type=float, default=0.5, help='Ratio of characters to make bold') # args = parser.parse_args() # process_document(args.doc_path, args.ratio) # if __name__ == '__main__': # main() # python bionic.py /path/to/your/document.docx # def process_word(word, ratio): # # Calculate the number of characters to make bold # num_bold_chars = math.ceil(len(word) * ratio) # # Create a new run for each part of the word # bold_run = word[:num_bold_chars] # normal_run = word[num_bold_chars:] # return bold_run, normal_run # # def process_document(doc_path, ratio): # # doc = Document(doc_path) # # for paragraph in doc.paragraphs: # # for run in paragraph.runs: # # # Skip if the run is already bold # # if run.bold: # # continue # # # Split the run text into words # # words = run.text.split() # # # Process each word # # new_words = [] # # for word in words: # # bold_run, normal_run = process_word(word, ratio) # # new_words.append(bold_run) # # new_words.append(normal_run) # # # Replace the run text with the processed words # # run.text = ' '.join(new_words) # # doc.save('processed_' + doc_path) # # def process_document(doc_path, ratio): # # doc = Document(doc_path) # # for paragraph in doc.paragraphs: # # for run in paragraph.runs: # # # Skip if the run is already bold # # if run.bold: # # continue # # # Split the run text into words # # words = run.text.split() # # # Process each word # # new_words = [] # # for word in words: # # bold_run, normal_run = process_word(word, ratio) # # new_words.append(bold_run) # # new_words.append(normal_run) # # # Replace the run text with the processed words # # run.text = ' '.join(new_words) # # # Get the directory and filename from the input path # # dir_name, file_name = os.path.split(doc_path) # # # Prepend 'processed_' to the filename # # new_file_name = 'processed_' + file_name # # # Combine the directory and new filename to get the output path # # output_path = os.path.join(dir_name, new_file_name) # # doc.save(output_path) # def process_document(doc_path, ratio): # doc = Document(doc_path) # new_doc = Document() # for paragraph in doc.paragraphs: # new_paragraph = new_doc.add_paragraph() # for run in paragraph.runs: # # Skip if the run is already bold # if run.bold: # continue # # Split the run text into words # words = run.text.split() # # Process each word # for word in words: # bold_run_text, normal_run_text = process_word(word, ratio) # # Add new runs to the new paragraph # if bold_run_text: # bold_run = new_paragraph.add_run(bold_run_text) # bold_run.bold = True # if normal_run_text: # normal_run = new_paragraph.add_run(normal_run_text) # # Get the directory and filename from the input path # dir_name, file_name = os.path.split(doc_path) # # Prepend 'processed_' to the filename # new_file_name = 'processed_' + file_name # # Combine the directory and new filename to get the output path # output_path = os.path.join(dir_name, new_file_name) # new_doc.save(output_path) # def main(): # parser = argparse.ArgumentParser() # parser.add_argument('doc_path', help='Path to the .docx file') # parser.add_argument('--ratio', type=float, default=0.5, help='Ratio of characters to make bold') # args = parser.parse_args() # process_document(args.doc_path, args.ratio) # if __name__ == '__main__': # main()