OwusuBlessing
43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
from src.services.sop_generator import SopGeneratorExecutive
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from src.utils.document_loader import load_document
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from src.services.document_parser import DocumentParser
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from src.services.sop_generator import SopGeneratorExecutive
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file_path = r"C:\Users\User\Desktop\Blessing_AI\MKD\test_erp_ai\erp_ai\test\erp_ai\data\raw\document.doc"
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docs = load_document(file_path)
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if __name__ == "__main__":
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SOP = DocumentParser()
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so = SopGeneratorExecutive()
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referencs_roles = ["AR Director "]
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workers_list = [
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{
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"position": "AR dIRECTOR ",
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"role": "Developer",
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"department": "IT"
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},
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{
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"name": "Jane Smith",
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"position": "Project Manager",
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"role": "Manager",
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"department": "IT"
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}
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]
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departments_and_roles = SOP.extract_sops_for_workers_by_department(docs,workers_list)
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# Prepare extracted roles (only managers)
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'''extracted_managers = []
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for department in departments_and_roles['departments']:
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extracted_managers.extend([
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{
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'name': manager['name'],
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'position': manager.get('position', 'Unknown Position'),
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'role': manager.get('role', 'Unknown Role') # PRP or SRP classification
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}
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for manager in department['managers']
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])'''
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print(departments_and_roles)
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