erp-ai-latest/test.py

from src.services.sop_generator import SopGeneratorDocument, SopGeneratorExecutive
from src.utils.document_loader import load_document

file_path = "/root/ds_erp_ai/data/raw/document.doc"
docs = load_document(file_path)
sop_doc = SopGeneratorDocument()
sop_executive = SopGeneratorExecutive()

if __name__ == "__main__":
    # Test the generate_sops_from_questionnaire function
    questionnaire_data = {
        "organizational_vision": {
            "question_1_answer": "Our vision is to lead the market in innovative product solutions.",
            "question_2_answer": "We see our organization contributing by expanding into new regions and enhancing service quality.",
            "question_3_answer": "The key elements of our vision focus on scalability, customer satisfaction, and technological advancement."
        },
        "organizational_strategic_goals": {
            "question_1_answer": "The strategic direction is to increase market share and improve operational efficiency.",
            "question_2_answer": "We aim to achieve a 20% reduction in operating costs by streamlining internal processes.",
            "question_3_answer": "The process aligns with our goal to reduce costs while maintaining high product quality."
        },
        "departmental_strategic_goals": {
            "sales_department_answer": "Increase sales by 15% in the next fiscal year through better lead generation and customer retention.",
            "finance_department_answer": "Ensure a balanced budget by optimizing resource allocation and reducing overhead costs."
        }
    }
    
    executives = ["CEO", "COO"]
    managers = ["Sales Manager", "Finance Manager"]

    sops_from_questionnaire = sop_executive.generate_sops_from_questionnaire(questionnaire_data, executives, managers)
    
    if sops_from_questionnaire:
        print("Generated SOPs from Questionnaire:")
        
        # Print Executive SOPs
        print("\nExecutive SOPs:")
        for executive, sops in sops_from_questionnaire["executive_sops"].items():
            print(f"  {executive}:")
            print("    Must SOPs:")
            for sop in sops.must:
                print(f"      - {sop}")
            print("    Shall SOPs:")
            for sop in sops.shall:
                print(f"      - {sop}")
            print("    Will SOPs:")
            for sop in sops.will:
                print(f"      - {sop}")
        
        # Print Department Manager SOPs
        print("\nDepartment Manager SOPs:")
        for department in sops_from_questionnaire["department_sops"].departments:
            print(f"  Department: {department.name}")
            for manager in department.managers:
                print(f"    Manager: {manager.title}")
                print("      Must SOPs:")
                for sop in manager.sops.must:
                    print(f"        - {sop}")
                print("      Shall SOPs:")
                for sop in manager.sops.shall:
                    print(f"        - {sop}")
                print("      Will SOPs:")
                for sop in manager.sops.will:
                    print(f"        - {sop}")
    else:
        print("Failed to generate SOPs from questionnaire.")

    # You can keep the previous tests if you want
    departments_and_roles = sop_doc.extract_departments_and_managers(docs)
    if departments_and_roles:
        print("\nExtracted Departments and Roles:")
        for department in departments_and_roles.get('departments', []):
            print(f"\nDepartment: {department['name']}")
            for role in department.get('managerial_roles', []):
                print(f"  Role: {role['title']}")
                print(f"    Responsibilities: {', '.join(role['responsibilities'])}")
    else:
        print("Failed to extract departments and roles.")

    v_ms = sop_doc.extract_vision_mission(docs)
    print(f"\nVision and Mission: {v_ms}")