from dataclasses import dataclass
from typing import Any, Dict, List, Optional, Union
from datetime import datetime
from metorial.utils import parse_iso_datetime
import dataclasses


@dataclass
class ManagementInstanceServersImplementationsDeleteOutputServerVariant:
  object: str
  id: str
  identifier: str
  server_id: str
  source: Dict[str, Any]
  created_at: datetime


@dataclass
class ManagementInstanceServersImplementationsDeleteOutputServer:
  object: str
  id: str
  name: str
  type: str
  created_at: datetime
  updated_at: datetime
  description: Optional[str] = None


@dataclass
class ManagementInstanceServersImplementationsDeleteOutput:
  object: str
  id: str
  status: str
  name: str
  metadata: Dict[str, Any]
  server_variant: ManagementInstanceServersImplementationsDeleteOutputServerVariant
  server: ManagementInstanceServersImplementationsDeleteOutputServer
  created_at: datetime
  updated_at: datetime
  description: Optional[str] = None
  get_launch_params: Optional[str] = None


class mapManagementInstanceServersImplementationsDeleteOutputServerVariant:
  @staticmethod
  def from_dict(
    data: Dict[str, Any]
  ) -> ManagementInstanceServersImplementationsDeleteOutputServerVariant:
    return ManagementInstanceServersImplementationsDeleteOutputServerVariant(
      object=data.get("object"),
      id=data.get("id"),
      identifier=data.get("identifier"),
      server_id=data.get("server_id"),
      source=data.get("source"),
      created_at=parse_iso_datetime(data.get("created_at"))
      if data.get("created_at")
      else None,
    )

  @staticmethod
  def to_dict(
    value: Union[
      ManagementInstanceServersImplementationsDeleteOutputServerVariant,
      Dict[str, Any],
      None,
    ]
  ) -> Optional[Dict[str, Any]]:
    if value is None:
      return None
    if isinstance(value, dict):
      return value
    return dataclasses.asdict(value)


class mapManagementInstanceServersImplementationsDeleteOutputServer:
  @staticmethod
  def from_dict(
    data: Dict[str, Any]
  ) -> ManagementInstanceServersImplementationsDeleteOutputServer:
    return ManagementInstanceServersImplementationsDeleteOutputServer(
      object=data.get("object"),
      id=data.get("id"),
      name=data.get("name"),
      description=data.get("description"),
      type=data.get("type"),
      created_at=parse_iso_datetime(data.get("created_at"))
      if data.get("created_at")
      else None,
      updated_at=parse_iso_datetime(data.get("updated_at"))
      if data.get("updated_at")
      else None,
    )

  @staticmethod
  def to_dict(
    value: Union[
      ManagementInstanceServersImplementationsDeleteOutputServer, Dict[str, Any], None
    ]
  ) -> Optional[Dict[str, Any]]:
    if value is None:
      return None
    if isinstance(value, dict):
      return value
    return dataclasses.asdict(value)


class mapManagementInstanceServersImplementationsDeleteOutput:
  @staticmethod
  def from_dict(
    data: Dict[str, Any]
  ) -> ManagementInstanceServersImplementationsDeleteOutput:
    return ManagementInstanceServersImplementationsDeleteOutput(
      object=data.get("object"),
      id=data.get("id"),
      status=data.get("status"),
      name=data.get("name"),
      description=data.get("description"),
      metadata=data.get("metadata"),
      get_launch_params=data.get("get_launch_params"),
      server_variant=mapManagementInstanceServersImplementationsDeleteOutputServerVariant.from_dict(
        data.get("server_variant")
      )
      if data.get("server_variant")
      else None,
      server=mapManagementInstanceServersImplementationsDeleteOutputServer.from_dict(
        data.get("server")
      )
      if data.get("server")
      else None,
      created_at=parse_iso_datetime(data.get("created_at"))
      if data.get("created_at")
      else None,
      updated_at=parse_iso_datetime(data.get("updated_at"))
      if data.get("updated_at")
      else None,
    )

  @staticmethod
  def to_dict(
    value: Union[
      ManagementInstanceServersImplementationsDeleteOutput, Dict[str, Any], None
    ]
  ) -> Optional[Dict[str, Any]]:
    if value is None:
      return None
    if isinstance(value, dict):
      return value
    # assume dataclass for generated models
    return dataclasses.asdict(value)
