Luxx/luxx/agent/task.py

313 lines
9.8 KiB
Python

from dataclasses import dataclass, field
from datetime import datetime
from enum import Enum
from typing import List, Optional, Dict, Any
from luxx.agent.agent import agent_service
from luxx.utils.helpers import generate_id
class TaskStatus(Enum):
"""Task status enum"""
PENDING = "pending"
READY = "ready"
RUNNING = "running"
BLOCK = "block"
TERMINATED = "terminated"
class StepStatus(Enum):
"""Step status enum"""
PENDING = "pending"
RUNNING = "running"
COMPLETED = "completed"
FAILED = "failed"
SKIPPED = "skipped"
@dataclass
class Step:
"""Task step"""
id: str
name: str
description: str = ""
depends_on: List[str] = field(default_factory=list)
status: StepStatus = StepStatus.PENDING
result: Optional[Dict[str, Any]] = None
created_at: datetime = field(default_factory=datetime.now)
updated_at: datetime = field(default_factory=datetime.now)
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
"id": self.id,
"name": self.name,
"description": self.description,
"depends_on": self.depends_on,
"status": self.status.value,
"result": self.result,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None
}
@dataclass
class Task:
"""Task entity"""
id: str
name: str
description: str = ""
goal: str = ""
status: TaskStatus = TaskStatus.PENDING
steps: List[Step] = field(default_factory=list)
subtasks: List["Task"] = field(default_factory=list)
result: Optional[Dict[str, Any]] = None
created_at: datetime = field(default_factory=datetime.now)
updated_at: datetime = field(default_factory=datetime.now)
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
"id": self.id,
"name": self.name,
"description": self.description,
"goal": self.goal,
"status": self.status.value,
"steps": [s.to_dict() for s in self.steps],
"subtasks": [t.to_dict() for t in self.subtasks],
"result": self.result,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None
}
class TaskGraph:
"""Task graph for managing step dependencies"""
def __init__(self, task: Task):
self.task = task
self._adjacency: Dict[str, List[str]] = {} # step_id -> [dependent_step_ids]
self._reverse_adjacency: Dict[str, List[str]] = {} # step_id -> [dependency_step_ids]
self._in_degree: Dict[str, int] = {} # step_id -> in-degree count
self._build_graph()
def _build_graph(self) -> None:
"""Build graph from task steps"""
# Initialize adjacency lists
for step in self.task.steps:
self._adjacency[step.id] = []
self._reverse_adjacency[step.id] = []
self._in_degree[step.id] = 0
# Build edges based on dependencies
for step in self.task.steps:
for dep_id in step.depends_on:
if dep_id in self._adjacency:
self._adjacency[dep_id].append(step.id)
self._reverse_adjacency[step.id].append(dep_id)
self._in_degree[step.id] += 1
def topological_sort(self) -> List[Step]:
"""Get steps in topological order (Kahn's algorithm)"""
# Create a copy of in-degrees
in_degree = self._in_degree.copy()
# Queue for steps with no dependencies
queue = [step_id for step_id, degree in in_degree.items() if degree == 0]
result = []
# Get step map for easy lookup
step_map = {step.id: step for step in self.task.steps}
while queue:
# Sort for deterministic order
queue.sort()
current = queue.pop(0)
result.append(step_map[current])
# Reduce in-degree for dependent steps
for dependent_id in self._adjacency[current]:
in_degree[dependent_id] -= 1
if in_degree[dependent_id] == 0:
queue.append(dependent_id)
return result
def get_ready_steps(self, completed_step_ids: List[str]) -> List[Step]:
"""Get steps that are ready to execute (all dependencies completed)"""
step_map = {step.id: step for step in self.task.steps}
ready = []
for step in self.task.steps:
if step.id in completed_step_ids:
continue
if step.status != StepStatus.PENDING:
continue
# Check if all dependencies are completed
deps_completed = all(dep_id in completed_step_ids for dep_id in step.depends_on)
if deps_completed:
ready.append(step)
return ready
def detect_cycles(self) -> List[List[str]]:
"""Detect cycles in the graph using DFS"""
WHITE, GRAY, BLACK = 0, 1, 2
color = {step.id: WHITE for step in self.task.steps}
cycles = []
def dfs(node: str, path: List[str]) -> bool:
color[node] = GRAY
path.append(node)
for neighbor in self._adjacency.get(node, []):
if color[neighbor] == GRAY:
# Found cycle
cycle_start = path.index(neighbor)
cycles.append(path[cycle_start:] + [neighbor])
return True
elif color[neighbor] == WHITE:
if dfs(neighbor, path):
return True
path.pop()
color[node] = BLACK
return False
for step in self.task.steps:
if color[step.id] == WHITE:
dfs(step.id, [])
return cycles
def validate(self) -> tuple[bool, Optional[str]]:
"""Validate the graph structure"""
# Check for cycles
cycles = self.detect_cycles()
if cycles:
return False, f"Circular dependency detected: {cycles[0]}"
# Check for missing dependencies
step_ids = {step.id for step in self.task.steps}
for step in self.task.steps:
for dep_id in step.depends_on:
if dep_id not in step_ids:
return False, f"Step '{step.name}' depends on non-existent step '{dep_id}'"
return True, None
class TaskService:
"""Task service for managing tasks"""
def __init__(self):
self._tasks: Dict[str, Task] = {}
def create_task(
self,
agent_id: str,
name: str,
goal: str,
description: str = "",
steps: List[Dict[str, Any]] = None
) -> Optional[Task]:
"""Create task for agent, optionally as subtask"""
agent = agent_service.get_agent(agent_id)
if not agent:
return None
task_id = generate_id("task")
task = Task(
id=task_id,
name=name,
description=description,
goal=goal
)
# Add steps
if steps:
for step_data in steps:
step = Step(
id=generate_id("step"),
name=step_data.get("name", ""),
description=step_data.get("description", "")
)
task.steps.append(step)
agent.current_task = task
self._tasks[task_id] = task
self._logger.info(f"Created task: {task_id} for agent: {agent_id}")
return task
def get_task(self, task_id: str) -> Optional[Task]:
"""Get task by ID"""
return self._tasks.get(task_id)
def list_tasks(self, agent_id: str = None) -> List[Task]:
"""List tasks, optionally filtered by agent"""
if agent_id:
agent = self._agent_service.get_agent(agent_id)
if agent and agent.current_task:
return [agent.current_task]
return []
return list(self._tasks.values())
def update_task_status(
self,
task_id: str,
status: TaskStatus,
result: Any = None
) -> Optional[Task]:
"""Update task status"""
task = self._tasks.get(task_id)
if not task:
return None
task.status = status
task.result = result
task.updated_at = datetime.now()
return task
def add_steps(
self,
task_id: str,
steps: List[Dict[str, Any]]
) -> Optional[List[Step]]:
"""Add steps to task"""
task = self._tasks.get(task_id)
if not task:
return None
result = []
for step_data in steps:
step = Step(
id=generate_id("step"),
name=step_data.get("name", ""),
description=step_data.get("description", ""),
depends_on=step_data.get("depends_on", [])
)
task.steps.append(step)
result.append(step)
task.updated_at = datetime.now()
return result
def delete_task(self, task_id: str) -> bool:
"""Delete task"""
if task_id not in self._tasks:
return False
del self._tasks[task_id]
return True
def build_graph(self, task_id: str) -> Optional[TaskGraph]:
"""Build task graph for a task"""
task = self._tasks.get(task_id)
if not task:
return None
return TaskGraph(task)
task_service = TaskService()