# -*- coding: utf-8 -*-
"""Data models for lightweight process supervision."""

from dataclasses import dataclass, field
from datetime import datetime
from enum import Enum
from typing import Any, Dict


class ProcessRunState(str, Enum):
    """Execution state for supervised runs."""

    PENDING = "pending"
    RUNNING = "running"
    COMPLETED = "completed"
    FAILED = "failed"
    CANCELLED = "cancelled"


@dataclass
class ProcessRun:
    """Represents a supervised process run."""

    run_id: str
    command: str
    scope_key: str
    state: ProcessRunState = ProcessRunState.PENDING
    metadata: Dict[str, Any] = field(default_factory=dict)
    created_at: datetime = field(default_factory=datetime.utcnow)
    updated_at: datetime = field(default_factory=datetime.utcnow)

    def to_dict(self) -> Dict[str, Any]:
        return {
            "run_id": self.run_id,
            "command": self.command,
            "scope_key": self.scope_key,
            "state": self.state.value,
            "metadata": self.metadata,
            "created_at": self.created_at.isoformat(),
            "updated_at": self.updated_at.isoformat(),
        }