from src.services.sop_generator import  SopGeneratorExecutive
from src.utils.document_loader import load_document
from src.services.document_parser import DocumentParser
from src.services.sop_generator import SopGeneratorExecutive
file_path = r"C:\Users\User\Desktop\Blessing_AI\MKD\test_erp_ai\erp_ai\test\erp_ai\data\raw\document.doc"
docs = load_document(file_path)


if __name__ == "__main__":
    SOP = DocumentParser()
    so = SopGeneratorExecutive()
    referencs_roles = ["AR Director "]
    workers_list = [
    {
      
        "position": "AR dIRECTOR ",
        "role": "Developer",
        "department": "IT"
    },
    {
        "name": "Jane Smith",
        "position": "Project Manager",
        "role": "Manager",
        "department": "IT"
    }
]

    departments_and_roles = SOP.extract_sops_for_workers_by_department(docs,workers_list)
    # Prepare extracted roles (only managers)
    '''extracted_managers = []
    for department in departments_and_roles['departments']:
        extracted_managers.extend([
            {
                'name': manager['name'],
                'position': manager.get('position', 'Unknown Position'),
                'role': manager.get('role', 'Unknown Role')  # PRP or SRP classification
            }
            for manager in department['managers']
        ])'''

    print(departments_and_roles)