""" WBS Level 2: Create a Work Breakdown Structure (WBS) from a project plan. https://en.wikipedia.org/wiki/Work_breakdown_structure Focus is on the "Process style". Focus is not on the "product style". """ import os import json import time from math import ceil from typing import List, Optional from uuid import uuid4 from dataclasses import dataclass from pydantic import BaseModel, Field from llama_index.core.llms.llm import LLM from src.format_json_for_use_in_query import format_json_for_use_in_query class SubtaskDetails(BaseModel): subtask_wbs_number: str = Field( description="The unique identifier assigned to each subtask. Example: ['1.', '2.', '3.', '6.2.2', '6.2.3', '6.2.4', 'Subtask 5:', 'Subtask 6:', 'S3.', 'S4.']." ) subtask_title: str = Field( description="Start with a verb to clearly indicate the action required. Example: ['Secure funding', 'Obtain construction permits', 'Electrical installation', 'Commissioning and handover']." ) class MajorPhaseDetails(BaseModel): """ A major phase in the project decomposed into smaller tasks. """ major_phase_wbs_number: str = Field( description="The unique identifier assigned to each major phase. Example: ['1.', '2.', '3.', 'Phase 1:', 'Phase 2:', 'P1.', 'P2.']." ) major_phase_title: str = Field( description="Action-oriented title of this primary phase of the project. Example: ['Project Initiation', 'Procurement', 'Construction', 'Operation and Maintenance']." ) subtasks: list[SubtaskDetails] = Field( description="List of the subtasks or activities." ) class WorkBreakdownStructure(BaseModel): """ The Work Breakdown Structure (WBS) is a hierarchical decomposition of the total scope of work to accomplish project objectives. It organizes the project into smaller, more manageable components. """ major_phase_details: list[MajorPhaseDetails] = Field( description="List with each major phase broken down into subtasks or activities." ) QUERY_PREAMBLE = f""" Create a work breakdown structure level 2 for this project. A task can always be broken down into smaller, more manageable subtasks. """ @dataclass class CreateWBSLevel2: """ WBS Level 2: Creating a Work Breakdown Structure (WBS) from a project plan. """ query: str response: dict metadata: dict major_phases_with_subtasks: list[dict] major_phases_uuids: list[str] task_uuids: list[str] @classmethod def format_query(cls, plan_json: dict, wbs_level1_json: dict) -> str: """ Format the query for creating a Work Breakdown Structure (WBS) level 2. """ if not isinstance(plan_json, dict): raise ValueError("Invalid plan_json.") if not isinstance(wbs_level1_json, dict): raise ValueError("Invalid wbs_level1_json.") # Having a uuid in the WBS Level 1 data trend to confuse the LLM, causing the LLM to attempt to insert all kinds of ids in the response. # Removing the id from the WBS Level 1 data, and there is less confusion about what the LLM should do. wbs_level1_json_without_id = wbs_level1_json.copy() wbs_level1_json_without_id.pop("id", None) query = f""" The project plan: {format_json_for_use_in_query(plan_json)} WBS Level 1: {format_json_for_use_in_query(wbs_level1_json_without_id)} """ return query @classmethod def execute(cls, llm: LLM, query: str) -> 'CreateWBSLevel2': """ Invoke LLM to create a Work Breakdown Structure (WBS) from a json representation of a project plan. """ if not isinstance(llm, LLM): raise ValueError("Invalid LLM instance.") if not isinstance(query, str): raise ValueError("Invalid query.") start_time = time.perf_counter() sllm = llm.as_structured_llm(WorkBreakdownStructure) response = sllm.complete(QUERY_PREAMBLE + query) json_response = json.loads(response.text) end_time = time.perf_counter() duration = int(ceil(end_time - start_time)) metadata = dict(llm.metadata) metadata["llm_classname"] = llm.class_name() metadata["duration"] = duration # Cleanup the json response from the LLM model, assign unique ids to each activity. result_major_phases_with_subtasks = [] result_major_phases_uuids = [] result_task_uuids = [] for major_phase_detail in json_response['major_phase_details']: subtask_list = [] for subtask in major_phase_detail['subtasks']: subtask_title = subtask['subtask_title'] uuid = str(uuid4()) subtask_item = { "id": uuid, "description": subtask_title, } subtask_list.append(subtask_item) result_task_uuids.append(uuid) uuid = str(uuid4()) major_phase_item = { "id": uuid, "major_phase_title": major_phase_detail['major_phase_title'], "subtasks": subtask_list, } result_major_phases_with_subtasks.append(major_phase_item) result_major_phases_uuids.append(uuid) result = CreateWBSLevel2( query=query, response=json_response, metadata=metadata, major_phases_with_subtasks=result_major_phases_with_subtasks, major_phases_uuids=result_major_phases_uuids, task_uuids=result_task_uuids ) return result def raw_response_dict(self, include_metadata=True, include_query=True) -> dict: d = self.response.copy() if include_metadata: d['metadata'] = self.metadata if include_query: d['query'] = self.query return d if __name__ == "__main__": from llama_index.llms.ollama import Ollama # TODO: Eliminate hardcoded paths path = '/Users/neoneye/Desktop/planexe_data/plan.json' wbs_level1_json = { "id": "d0169227-bf29-4a54-a898-67d6ff4d1193", "project_title": "Establish a solar farm in Denmark", "final_deliverable": "Solar farm operational", } print(f"file: {path}") with open(path, 'r', encoding='utf-8') as f: plan_json = json.load(f) query = CreateWBSLevel2.format_query(plan_json, wbs_level1_json) model_name = "llama3.1:latest" # model_name = "qwen2.5-coder:latest" # model_name = "phi4:latest" llm = Ollama(model=model_name, request_timeout=120.0, temperature=0.5, is_function_calling_model=False) print(f"Query: {query}") result = CreateWBSLevel2.execute(llm, query) print("Response:") response_dict = result.raw_response_dict(include_query=False) print(json.dumps(response_dict, indent=2)) print("\n\nExtracted result:") print(json.dumps(result.major_phases_with_subtasks, indent=2))