grading_logic.py

import docx
from ocr_processing import OCRProcessor

class GradingSystem:
    def __init__(self, ocr_handler):
        self.ocr_handler = ocr_handler

    def extract_answers(self, student_images):
        responses = []
        for image_path in student_images:
            try:
                encoded_img = self.ocr_handler.encode_image(image_path)
                prompt = "Extract the visible text from the provided image and organize it as structured responses."
                result = self.ocr_handler.extract_text_from_image(encoded_img, prompt)
                responses.append(result.content)
            except Exception as err:
                responses.append(f"[Error extracting {image_path}: {err}]")
        return "\n".join(responses)

    def extract_marking_criteria(self, docx_file):
        try:
            doc = docx.Document(docx_file)
            criteria = [para.text.strip() for para in doc.paragraphs if para.text.strip()]
            return "\n".join(criteria)
        except Exception as err:
            raise Exception(f"Failed to extract criteria: {err}")

    def grade_answers(self, student_text, marking_criteria):
        prompt = f"Compare the student's responses with the marking scheme and assign grades accordingly. Marking Scheme:\n{marking_criteria}\n\nStudent Response:\n{student_text}"

        try:
            result = self.ocr_handler.extract_text_from_image("", prompt)
            return result.content
        except Exception as err:
            raise Exception(f"Grading failed: {err}")