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import os
import fitz # PyMuPDF
import pytesseract
from pdf2image import convert_from_path
from PIL import Image
from abc import ABC, abstractmethod
pytesseract.pytesseract.tesseract_cmd = "/usr/bin/tesseract"
#Abstract Base Class (Interface)
class FileProcessor(ABC):
"""Abstract class for file processing."""
@abstractmethod
def extract_text(self, file_path):
"""Method to extract text from a file."""
pass
#PDF Processor (Handles Text + OCR for Scanned PDFs)
class PDFProcessor(FileProcessor):
def extract_text(self, pdf_path):
text = ""
doc = fitz.open(pdf_path)
for page_num in range(len(doc)):
page = doc.load_page(page_num)
page_text = page.get_text("text").strip() # Extract text from page
# Extract Images for OCR
images = page.get_images(full=True)
ocr_text = ""
if images:
img_pages = convert_from_path(pdf_path, first_page=page_num + 1, last_page=page_num + 1)
for img in img_pages:
ocr_text += pytesseract.image_to_string(img).strip() + "\n"
# Combine both text extraction methods
combined_text = f"{page_text}\n{ocr_text}".strip()
text += combined_text + "\n\n"
return text.strip() if text else "No text found in PDF."
#Image Processor (OCR)
class ImageProcessor(FileProcessor):
def extract_text(self, image_path):
img = Image.open(image_path)
text = pytesseract.image_to_string(img).strip()
return text if text else "No text found in Image."
#Factory to Select the Right Processor
class FileProcessorFactory:
"""Factory class to get the correct file processor based on file extension."""
_processors = {
".pdf": PDFProcessor(),
".png": ImageProcessor(),
".jpg": ImageProcessor(),
".jpeg": ImageProcessor(),
}
@classmethod
def get_processor(cls, file_path):
ext = os.path.splitext(file_path)[-1].lower()
return cls._processors.get(ext, None)
#Unified File Reading Function
def read_file(file_path):
processor = FileProcessorFactory.get_processor(file_path)
if processor:
return processor.extract_text(file_path)
else:
return f"Unsupported file format: {file_path}"
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