import sys
import os
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..')))

import numpy as np
import cv2
from draft_computation_app import calculate_draft
from draft_computation_app.dummy_data import results2 as results

def test_calculate_draft():
    pose_results = results.pose
    segment_data = results.segment

    # Load the test image
    image_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), "dummy_data", "test2.jpg")
    original_image = cv2.imread(image_path)

    # Set the ocr placeholder to return a specific value for the test
    from draft_computation_app import ocr_placeholder
    ocr_placeholder.perform_ocr = lambda image: "12m"

    draft = calculate_draft(pose_results, segment_data, original_image)

    print(f"The calculated draft is: {draft}")

    # Add an assertion to check if the result is within a reasonable range
    # This expected value is just a placeholder and should be adjusted
    # based on the actual expected output.
    expected_draft = 11.41
    assert abs(draft - expected_draft) < 0.1

if __name__ == "__main__":
    test_calculate_draft()