class_docstr: Contains Kubernetes Airflow Worker configuration logic.
  
  Represents a kubernetes pod and manages execution of a single pod.
  Any configuration that is container specific gets applied to
  the first container in the list of containers.
  
  :param pod: The fully specified pod. Mutually exclusive with `pod_template_file`
  :param pod_template_file: Path to YAML file. Mutually exclusive with `pod`
  :param extract_xcom: Whether to bring up a container for xcom
docstr: Create a Pod.
  
  Construct a pod by gathering and consolidating the configuration from 3 places:
      - airflow.cfg
      - executor_config
      - dynamic arguments
docstr_tok: ["Create","a","Pod",".","Construct","a","pod","by","gathering","and","consolidating","the","configuration","from","3","places",":","-","airflow.cfg","-","executor_config","-","dynamic","arguments"]
code: def construct_pod(
      cls,
      dag_id: str,
      task_id: str,
      pod_id: str,
      try_number: int,
      kube_image: str,
      date: datetime.datetime | None,
      args: list[str],
      pod_override_object: k8s.V1Pod | None,
      base_worker_pod: k8s.V1Pod,
      namespace: str,
      scheduler_job_id: str,
      run_id: str | None = None,
      map_index: int = -1,
      *,
      with_mutation_hook: bool = False,
  ) -> k8s.V1Pod:
      """
      Create a Pod.
  
      Construct a pod by gathering and consolidating the configuration from 3 places:
          - airflow.cfg
          - executor_config
          - dynamic arguments
      """
      if len(pod_id) > 253:
          warnings.warn(
              "pod_id supplied is longer than 253 characters; truncating and adding unique suffix."
          )
          pod_id = add_pod_suffix(pod_name=pod_id, max_len=253)
      try:
          image = pod_override_object.spec.containers[0].image  # type: ignore
          if not image:
              image = kube_image
      except Exception:
          image = kube_image
  
      annotations = {
          "dag_id": dag_id,
          "task_id": task_id,
          "try_number": str(try_number),
      }
      if map_index >= 0:
          annotations["map_index"] = str(map_index)
      if date:
          annotations["execution_date"] = date.isoformat()
      if run_id:
          annotations["run_id"] = run_id
  
      dynamic_pod = k8s.V1Pod(
          metadata=k8s.V1ObjectMeta(
              namespace=namespace,
              annotations=annotations,
              name=pod_id,
              labels=cls.build_labels_for_k8s_executor_pod(
                  dag_id=dag_id,
                  task_id=task_id,
                  try_number=try_number,
                  airflow_worker=scheduler_job_id,
                  map_index=map_index,
                  execution_date=date,
                  run_id=run_id,
              ),
          ),
          spec=k8s.V1PodSpec(
              containers=[
                  k8s.V1Container(
                      name="base",
                      args=args,
                      image=image,
                      env=[
                          k8s.V1EnvVar(
                              name="AIRFLOW_IS_K8S_EXECUTOR_POD",
                              value="True",
                          )
                      ],
                  )
              ]
          ),
      )
  
      # Reconcile the pods starting with the first chronologically,
      # Pod from the pod_template_File -> Pod from executor_config arg -> Pod from the K8s executor
      pod_list = [base_worker_pod, pod_override_object, dynamic_pod]
  
      try:
          pod = reduce(PodGenerator.reconcile_pods, pod_list)
      except Exception as e:
          raise PodReconciliationError from e
  
      if with_mutation_hook:
          from airflow.settings import pod_mutation_hook
  
          try:
              pod_mutation_hook(pod)
          except Exception as e:
              raise PodMutationHookException from e
  
      return pod
  
imports: from __future__ import annotations
  import copy
  import logging
  import os
  import secrets
  import string
  import warnings
  from functools import reduce
  from typing import TYPE_CHECKING
  import re2
  from dateutil import parser
  from kubernetes.client import models
  from kubernetes.client.api_client import ApiClient
  from airflow.exceptions import AirflowConfigException, PodMutationHookException, PodReconciliationError, RemovedInAirflow3Warning
  from airflow.kubernetes.pre_7_4_0_compatibility.pod_generator_deprecated import PodDefaults, PodGenerator
  from airflow.utils import yaml
  from airflow.utils.hashlib_wrapper import md5
  from airflow.version import version
label_desc: Use image node_id 10 for calling the PodGenerator obj's underlying member method code with example usage: obj.construct_pod(cls, dag_id, task_id, pod_id, try_number, kube_image, date, args, pod_override_object, base_worker_pod, namespace, scheduler_job_id, run_id, map_index) and returns: pod