code: def __init__(
      self,
      name,
      graph,
      flow,
      code_package_sha,
      code_package_url,
      metadata,
      flow_datastore,
      environment,
      event_logger,
      monitor,
      production_token,
      tags=None,
      namespace=None,
      username=None,
      max_workers=None,
      worker_pool=None,
      description=None,
      file_path=None,
      workflow_timeout=None,
      is_paused_upon_creation=True,
  ):
      self.name = name
      self.graph = graph
      self.flow = flow
      self.code_package_sha = code_package_sha
      self.code_package_url = code_package_url
      self.metadata = metadata
      self.flow_datastore = flow_datastore
      self.environment = environment
      self.event_logger = event_logger
      self.monitor = monitor
      self.tags = tags
      self.namespace = namespace  # this is the username space
      self.username = username
      self.max_workers = max_workers
      self.description = description
      self._depends_on_upstream_sensors = False
      self._file_path = file_path
      _, self.graph_structure = self.graph.output_steps()
      self.worker_pool = worker_pool
      self.is_paused_upon_creation = is_paused_upon_creation
      self.workflow_timeout = workflow_timeout
      self.schedule = self._get_schedule()
      self.parameters = self._process_parameters()
      self.production_token = production_token
      self.contains_foreach = self._contains_foreach()
  
imports: import json
  import os
  import random
  import string
  import sys
  from datetime import datetime, timedelta
  from io import BytesIO
  import metaflow.util
  from metaflow import current
  from metaflow.decorators import flow_decorators
  from metaflow.exception import MetaflowException
  from metaflow.includefile import FilePathClass
  from metaflow.metaflow_config import AIRFLOW_KUBERNETES_CONN_ID, AIRFLOW_KUBERNETES_KUBECONFIG_CONTEXT, AIRFLOW_KUBERNETES_KUBECONFIG_FILE, AIRFLOW_KUBERNETES_STARTUP_TIMEOUT_SECONDS, AWS_SECRETS_MANAGER_DEFAULT_REGION, AZURE_STORAGE_BLOB_SERVICE_ENDPOINT, CARD_AZUREROOT, CARD_GSROOT, CARD_S3ROOT, DATASTORE_SYSROOT_AZURE, DATASTORE_SYSROOT_GS, DATASTORE_SYSROOT_S3, DATATOOLS_S3ROOT, DEFAULT_SECRETS_BACKEND_TYPE, KUBERNETES_SECRETS, KUBERNETES_SERVICE_ACCOUNT, S3_ENDPOINT_URL, SERVICE_HEADERS, SERVICE_INTERNAL_URL
  from metaflow.metaflow_config_funcs import config_values
  from metaflow.parameters import DelayedEvaluationParameter, JSONTypeClass, deploy_time_eval
  from metaflow.plugins.cards.card_modules import chevron
  from metaflow.plugins.kubernetes.kubernetes import Kubernetes
  from metaflow.plugins.timeout_decorator import get_run_time_limit_for_task
  from metaflow.util import compress_list, dict_to_cli_options, get_username
  from .None import airflow_utils
  from .airflow_utils import AIRFLOW_MACROS, TASK_ID_XCOM_KEY, AirflowTask, Workflow
  from .exception import AirflowException
  from .sensors import SUPPORTED_SENSORS
label_desc: Use image node_id 1 to create a new Airflow object from inherited base classes: object with example: obj = Airflow(name, graph, flow, code_package_sha, code_package_url, metadata, flow_datastore, environment, event_logger, monitor, production_token, tags, namespace, username, max_workers, worker_pool, description, file_path, workflow_timeout, is_paused_upon_creation)