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extract.py
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extract.py
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from docx import Document
import os
import re
import pandas as pd
def extract_data(paragraph_text, keyword):
segment = paragraph_text.split(keyword)
return segment[1].strip() if len(segment) > 1 else None
def capitalize_except_prepositions(text):
words = text.split()
prepositions = ['a', 'an', 'the', 'and', 'but', 'or', 'for', 'nor', 'on', 'at', 'to', 'from', 'by', 'with', 'in', 'of']
capitalized_text = ' '.join(word.capitalize() if word.lower() not in prepositions else word.lower() for word in words)
return capitalized_text
def extract_information(doc):
data_attributes = {
"Invoice #:": "invoice",
"Formats:": "formats",
"Format:": "formats",
"Type:": "formats",
"Use:": "formats",
"Author:": "author",
"Authors:": "author",
"Author/s:": "author",
"Editor:": "editor",
"Editors:": "editor",
"Title of Publication:": "title",
"Title of the Publication:": "title",
"Title:": "title",
"Publisher:": "publisher",
"Permission granted to:": "publisher",
"Publication date:": "publication_year",
"Publication Date:": "publication_year",
"Date of publication:": "publication_year",
"Print Date:": "publication_year",
"Print-run:": "print_num",
"Print run:": "print_num",
"Print run/number of units:": "print_num",
"Print Run:": "print_num",
"Size of print run:": "print_num",
"Print run size:": "print_num",
"Distribution:": "distribution",
"distribution:": "distribution",
"distributed by:": "distribution",
"Type of Use:": "type_of_use",
"Language:": "language",
"Languages:": "language",
"Language of Publication:": "language",
"Language of publication:": "language",
}
extracted_data = {attr: None for attr in data_attributes.values()}
for paragraph in doc.paragraphs:
for keyword, attribute in data_attributes.items():
if keyword in paragraph.text:
extracted_data[attribute] = capitalize_except_prepositions(extract_data(paragraph.text, keyword))
if keyword == "Invoice #:":
match_invoice = re.search(r'\b\d{3}\b', extracted_data[attribute])
if match_invoice:
extracted_data[attribute] = match_invoice.group()
if keyword == "Formats:" or keyword == "Format:" or keyword == "Use:" or keyword == "Type:":
match_print = re.search(r'\bPrint\b', extracted_data[attribute])
if match_print:
extracted_data[attribute] = extracted_data[attribute].replace('Print', 'Book')
lang_position = extracted_data[attribute].find('Language:')
if lang_position != -1:
extracted_data[attribute] = extracted_data[attribute][:lang_position]
loc_position = extracted_data[attribute].find('Location:')
if loc_position != -1:
extracted_data[attribute] = extracted_data[attribute][:loc_position]
if keyword == "Author:" or keyword == "Authors:" or keyword == "Author/s:":
title_position = extracted_data[attribute].find('Title')
date_position = extracted_data[attribute].find('Date')
if title_position != -1:
extracted_data[attribute] = extracted_data[attribute][:title_position]
if date_position != -1:
extracted_data[attribute] = extracted_data[attribute][:date_position]
if keyword == "Editor:" or keyword == "Editors:":
title_position = extracted_data[attribute].find('Title')
if title_position != -1:
extracted_data[attribute] = extracted_data[attribute][:title_position]
if keyword == "Publisher:" or keyword == "Permission granted to:":
pub_position = extracted_data[attribute].find('Publication date')
if pub_position != -1:
extracted_data[attribute] = extracted_data[attribute][:pub_position]
if keyword == "Title of Publication:" or keyword == "Title:" or keyword == "Title of the Publication:":
publisher_position = extracted_data[attribute].find('Publisher')
if publisher_position != -1:
extracted_data[attribute] = extracted_data[attribute][:publisher_position]
if keyword == "Publication date:" or keyword == "Date of publication:" or keyword == "Publication Date:" or keyword == "Print Date:":
match = re.search(r'\b\d{4}\b', extracted_data[attribute])
if match:
extracted_data[attribute] = match.group()
dis_position = extracted_data[attribute].find('Distribution:')
if dis_position != -1:
extracted_data[attribute] = extracted_data[attribute][:dis_position]
if keyword == "Print-run:" or keyword == "Print run:" or keyword == "Print Run:" or keyword == "Print run/number of units:" or keyword == "Size of print run:" or keyword == "Print run size:":
term_position = extracted_data[attribute].find('Term:')
if term_position != -1:
extracted_data[attribute] = extracted_data[attribute][:term_position]
loc_position = extracted_data[attribute].find('Location:')
if loc_position != -1:
extracted_data[attribute] = extracted_data[attribute][:loc_position]
format_position = extracted_data[attribute].find('Format:')
if format_position != -1:
extracted_data[attribute] = extracted_data[attribute][:format_position]
if keyword == "Distribution:" or keyword == "distribution:" or keyword == "distributed by:":
lang_position = extracted_data[attribute].find('Language:')
if lang_position != -1:
extracted_data[attribute] = extracted_data[attribute][:lang_position]
langp_position = extracted_data[attribute].find('Language of Publication:')
if langp_position != -1:
extracted_data[attribute] = extracted_data[attribute][:langp_position]
pub_position = extracted_data[attribute].find('Publication Date:')
if pub_position != -1:
extracted_data[attribute] = extracted_data[attribute][:pub_position]
if keyword == "Language:" or keyword == "Languages:" or keyword == "Language of Publication" or keyword == "Language of publication":
print_position = extracted_data[attribute].find('Print-run:')
if print_position != -1:
extracted_data[attribute] = extracted_data[attribute][:print_position]
dis_position = extracted_data[attribute].find('Distribution:')
if dis_position != -1:
extracted_data[attribute] = extracted_data[attribute][:dis_position]
if keyword == "Type of Use:":
print_position = extracted_data[attribute].find('Print-run:')
lang_position = extracted_data[attribute].find('Language:')
pub_position = extracted_data[attribute].find('Publication date')
if print_position != -1:
extracted_data[attribute] = extracted_data[attribute][:print_position]
if lang_position != -1:
extracted_data[attribute] = extracted_data[attribute][:lang_position]
if pub_position != -1:
extracted_data[attribute] = extracted_data[attribute][:pub_position]
if extracted_data[attribute] is not None:
if isinstance(extracted_data['distribution'], str) and isinstance(extracted_data[attribute], str):
extracted_data['distribution'] += f"; {extracted_data[attribute]}"
elif extracted_data['distribution'] is None:
extracted_data['distribution'] = extracted_data[attribute]
return extracted_data
def create_note(row):
print_run = f"Print-run: {row['print_num']}. " if row['print_num'] else ''
distribution = f"Distribution: {row['distribution']}. " if row['distribution'] else ''
language = f"Language: {row['language']}. " if row['language'] else ''
note = f"{print_run}{distribution}{language}".strip()
return note
def process_documents(folder_path):
all_data = []
try:
if os.path.exists(folder_path) and os.path.isdir(folder_path):
file_names = [file_name for file_name in os.listdir(folder_path) if file_name.endswith('.docx')]
for file_name in file_names:
file_path = os.path.join(folder_path, file_name)
print(f"Processing file '{file_name}' at: {file_path}")
doc = Document(file_path)
extracted_info = extract_information(doc)
all_data.append(extracted_info)
df = pd.DataFrame(all_data)
df['note'] = df.apply(create_note, axis=1)
df = df.rename(columns={
"invoice": "Invoice Number",
"formats": "File Formats",
"author": "Author",
"editor": "Editor",
"title": "Publication Title",
"publisher": "Publisher",
"publication_year": "Publication Year",
"print_num": "Print Run",
"distribution": "Distribution",
"language": "Language",
"type_of_use": "Type of Use",
"note": "Note"
})
df = df.drop(columns=['Type of Use'])
output_file = os.path.join(folder_path, "combined_extracted_info.xlsx")
df.to_excel(output_file, index=False)
print(f"Combined extracted information has been exported to '{output_file}'.")
else:
print(f"Folder not found at path: '{folder_path}'.")
except Exception as e:
print(f"An error occurred: {e}")
if __name__ == "__main__":
desktop_path = os.path.expanduser("~/Desktop")
folder_name = "SCMA_invoice"
folder_path = os.path.join(desktop_path, folder_name)
process_documents(folder_path)