import ray
from pydantic_ai import Agent
from pretor.core.workflow_manager.workflow import PretorWorkflow, WorkStep, WorkerGroup
import uuid

@ray.remote
class ConsciousnessNode:
    def __init__(self, agent: Agent):
        self.agent = agent

    async def generate_workflow(self, template: dict, task_description: str) -> PretorWorkflow:
        prompt = f"Given the template {template} and task '{task_description}', generate a list of actionable steps."
        # Simulated parsing logic: in a real implementation we would parse structured output from the agent
        # response = await self.agent.run(prompt)

        wg = WorkerGroup(
            name="default_squad",
            primary_individual={"coder": 1},
            composite_individual={}
        )

        steps = [
            WorkStep(step=1, node="consciousness_node", action="analyze", desc="Analyze task details: " + task_description),
            WorkStep(step=2, node="control_node", action="execute", desc="Execute default execution logic", input=["1"])
        ]

        return PretorWorkflow(
            title=f"Workflow for {task_description[:10]}",
            workgroup_list=[wg],
            work_link=steps
        )

    async def check_task(self, task_status: dict) -> bool:
        if task_status.get("status") == "completed":
            return True
        return False

    async def process_complex_transaction(self, transaction_data: dict) -> dict:
        prompt = f"Process the following complex transaction data and extract key entities: {transaction_data}"
        result = await self.agent.run(prompt)
        return {"processed": True, "analysis": result.data}