ocr_utils.py

import easyocr
import os

# Initialize the OCR reader once to save time
# 'en' is for English language
# Set both model storage and user network directories inside /app (writable)

MODELS_DIR = "/app/easyocr_models"
USER_NETWORK_DIR = "/app/easyocr_models/user_network"

# Ensure directories exist
os.makedirs(MODELS_DIR, exist_ok=True)
os.makedirs(USER_NETWORK_DIR, exist_ok=True)

# DEBUG: Verify the directories
print(f"[DEBUG] EasyOCR models directory: {MODELS_DIR}")
print(f"[DEBUG] EasyOCR user network directory: {USER_NETWORK_DIR}")

# Initialize EasyOCR reader with both directories specified
reader = easyocr.Reader(
    ['en'],
    model_storage_directory=MODELS_DIR,
    user_network_directory=USER_NETWORK_DIR
)

def extract_keywords_from_report(file_path):
    """
    Performs OCR on the uploaded file and extracts relevant text.
    """
    try:
        results = reader.readtext(file_path, detail=0)
        full_text = " ".join(results).lower()
        return full_text
    except Exception as e:
        print(f"OCR Error: {e}")
        return ""

def score_text_for_risk(text):
    """
    Scores the extracted text and lists the keywords found.
    """
    high_risk_keywords = [
        "nodule", "abnormal cell", "squamous", "carcinoma", "malignant", 
        "adenocarcinoma", "biopsy positive", "tumor", "mass"
    ]
    
    score = 0
    keywords_found = []
    
    for keyword in high_risk_keywords:
        if keyword in text:
            score += 0.1 
            keywords_found.append(keyword.title())
            
    return min(score, 1.0), keywords_found

# Example test
if __name__ == '__main__':
    test_file_path = 'test_report.png' 
    if os.path.exists(test_file_path):
        extracted_text = extract_keywords_from_report(test_file_path)
        risk_score = score_text_for_risk(extracted_text)
        print("--- OCR Test Results ---")
        print(f"Extracted Text: {extracted_text}")
        print(f"Calculated Risk Score: {risk_score}")
    else:
        print("Error: test_report.png not found. Cannot run direct test.")