42 lines
1.6 KiB
Python
42 lines
1.6 KiB
Python
import ray
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from pydantic_ai import Agent
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from pretor.core.workflow_manager.workflow import PretorWorkflow, WorkStep, WorkerGroup
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import uuid
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@ray.remote
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class ConsciousnessNode:
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def __init__(self, agent: Agent):
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self.agent = agent
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async def generate_workflow(self, template: dict, task_description: str) -> PretorWorkflow:
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prompt = f"Given the template {template} and task '{task_description}', generate a list of actionable steps."
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# Simulated parsing logic: in a real implementation we would parse structured output from the agent
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# response = await self.agent.run(prompt)
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wg = WorkerGroup(
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name="default_squad",
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primary_individual={"coder": 1},
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composite_individual={}
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)
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steps = [
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WorkStep(step=1, node="consciousness_node", action="analyze", desc="Analyze task details: " + task_description),
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WorkStep(step=2, node="control_node", action="execute", desc="Execute default execution logic", input=["1"])
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]
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return PretorWorkflow(
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title=f"Workflow for {task_description[:10]}",
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workgroup_list=[wg],
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work_link=steps
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)
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async def check_task(self, task_status: dict) -> bool:
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if task_status.get("status") == "completed":
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return True
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return False
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async def process_complex_transaction(self, transaction_data: dict) -> dict:
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prompt = f"Process the following complex transaction data and extract key entities: {transaction_data}"
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result = await self.agent.run(prompt)
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return {"processed": True, "analysis": result.data}
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