嗨，我已经使用docker compose在本地设置了气流，我正在使用mac，气流docker版本为 apache/airflow:2.1.0 . 任务日志有很多星号，如下所示。我需要帮助来纠正它，我搜索了很多，但什么也找不到。

***Reading local file: /opt/airflow/logs/bi_sf_snowflake/git_clone/2021-07-09T11:41:24.189880+00:00/1.log

[2021-07-09 11:41:28,633] {logging_mixin.py:104} WARNING -***-***-***-******L***o***g***g***i***n***g******e***r***r***o***r******-***-***-***
[2021-07-09 11:41:28,634] {logging_mixin.py:104} WARNING -***T***r***a***c***e***b***a***c***k******(***m***o***s***t******r***e***c***e***n***t******c***a***l***l******l***a***s***t***)***:***
[2021-07-09 11:41:28,635] {logging_mixin.py:104} WARNING -*********F***i***l***e******"***/***u***s***r***/***l***o***c***a***l***/***l***i***b***/***p***y***t***h***o***n***3***.***6***/***l***o***g***g***i***n***g***/***_***_***i***n***i***t***_***_***.***p***y***"***,******l***i***n***e******9***9***4***,******i***n******e***m***i***t***

docker compose文件如下所示开始-

version: '3'
x-airflow-common:
  &airflow-common
  image: ${AIRFLOW_IMAGE_NAME:-mc-airflow:Dockerfile}
  environment:
    &airflow-common-env
    AIRFLOW__CORE__EXECUTOR: CeleryExecutor
    AIRFLOW__CORE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
    AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://airflow:airflow@postgres/airflow
    AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0
    AIRFLOW__CORE__FERNET_KEY: ''
    AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true'
    AIRFLOW__CORE__LOAD_EXAMPLES: 'true'
    AIRFLOW__API__AUTH_BACKEND: 'airflow.api.auth.backend.basic_auth'
  volumes:
    - ./dags/:/opt/airflow/dags
    - ./logs:/opt/airflow/logs
    - ./plugins:/opt/airflow/plugins
  user: "${AIRFLOW_UID:-50000}:${AIRFLOW_GID:-50000}"
  depends_on:
    redis:
      condition: service_healthy
    postgres:
      condition: service_healthy
  command: bash -c pip

气流配置有以下日志配置

logging_level = INFO

# Logging level for Flask-appbuilder UI.

# 

# Supported values: ``CRITICAL``, ``ERROR``, ``WARNING``, ``INFO``, ``DEBUG``.

fab_logging_level = WARN

# Logging class

# Specify the class that will specify the logging configuration

# This class has to be on the python classpath

# Example: logging_config_class = my.path.default_local_settings.LOGGING_CONFIG

logging_config_class =

# Flag to enable/disable Colored logs in Console

# Colour the logs when the controlling terminal is a TTY.

colored_console_log = False

# Log format for when Colored logs is enabled

colored_log_format = [%%(blue)s%%(asctime)s%%(reset)s] {%%(blue)s%%(filename)s:%%(reset)s%%(lineno)d} %%(log_color)s%%(levelname)s%%(reset)s - %%(log_color)s%%(message)s%%(reset)s
colored_formatter_class = airflow.utils.log.colored_log.CustomTTYColoredFormatter

# Format of Log line

log_format = [%%(asctime)s] {%%(filename)s:%%(lineno)d} %%(levelname)s - %%(message)s
simple_log_format = %%(asctime)s %%(levelname)s - %%(message)s

# Specify prefix pattern like mentioned below with stream handler TaskHandlerWithCustomFormatter

# Example: task_log_prefix_template = {ti.dag_id}-{ti.task_id}-{execution_date}-{try_number}

task_log_prefix_template =

# Formatting for how airflow generates file names/paths for each task run.

log_filename_template = {{ ti.dag_id }}/{{ ti.task_id }}/{{ ts }}/{{ try_number }}.log

# Formatting for how airflow generates file names for log

log_processor_filename_template = {{ filename }}.log

# full path of dag_processor_manager logfile

dag_processor_manager_log_location = /opt/airflow/logs/dag_processor_manager/dag_processor_manager.log

# Name of handler to read task instance logs.

# Defaults to use ``task`` handler.

task_log_reader = task

# A comma\-separated list of third-party logger names that will be configured to print messages to

# consoles\.

# Example: extra_loggers = connexion,sqlalchemy

extra_loggers =