### Apache Airflow version

2.6.0

### What happened

Stream logging works as long as the task is running. Once the task finishes, no logs are printed to the UI (only the hostname of the worker is printed)
<img width="1657" alt="image" src="https://user-images.githubusercontent.com/16529101/236212701-aecf6cdc-4d87-4817-a685-0778b94d182b.png">


### What you think should happen instead

Expected to see the complete log of a task

### How to reproduce

Start an airflow task. You should be able to see the logs coming in as a stream, once it finishes, the logs are gone

### Operating System

CentOS 7

### Versions of Apache Airflow Providers

airflow-provider-great-expectations==0.1.5
apache-airflow==2.6.0
apache-airflow-providers-airbyte==3.1.0
apache-airflow-providers-apache-hive==4.0.1
apache-airflow-providers-apache-spark==3.0.0
apache-airflow-providers-celery==3.1.0
apache-airflow-providers-common-sql==1.4.0
apache-airflow-providers-ftp==3.3.1
apache-airflow-providers-http==4.3.0
apache-airflow-providers-imap==3.1.1
apache-airflow-providers-mysql==5.0.0
apache-airflow-providers-oracle==3.4.0
apache-airflow-providers-postgres==5.4.0
apache-airflow-providers-sqlite==3.3.2

### Deployment

Virtualenv installation

### Deployment details

Celery with 4 workers nodes/VMs. Scheduler and Webserver on a different VM

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

#
#
#
from __future__ import annotations
import logging
import logging.config
import os
import re
import tempfile
from pathlib import Path
from unittest import mock
from unittest.mock import patch
import pendulum
import pytest
from kubernetes.client import models as k8s
from airflow.config_templates.airflow_local_settings import DEFAULT_LOGGING_CONFIG
from airflow.jobs.job import Job
from airflow.jobs.triggerer_job_runner import TriggererJobRunner
from airflow.models import DAG, DagRun, TaskInstance, Trigger
from airflow.operators.python import PythonOperator
from airflow.utils.log.file_task_handler import (
    FileTaskHandler,
    LogType,
    _interleave_logs,
    _parse_timestamps_in_log_file,
)