我已经创建了一个DAG，用于将本地文件上载到个人S3存储桶中。但是，当访问http：//localhost：9099/home时，我收到以下错误：
未找到文件错误：[Errno 2]没有这样的文件或目录：'C：\用户\平台\OneDrive\π ο λ ο γ ι σ τ ς\项目备份\数据库\数据库\价格数据. xlsx'
Ariflow error - broken dag
我有一台Windows PC，我正在码头集装箱上运行气流。
下面是DAG的代码：

# airflow related
from airflow import DAG
from airflow.operators.python import PythonOperator
# other packages
from datetime import datetime
import boto3

with DAG(
    dag_id='file_to_s3',
    start_date=datetime(2022, 12, 5),
    catchup=False,
) as dag:
    pass

def file_to_s3():
    #Creating Session With Boto3.
    session = boto3.Session(
    aws_access_key_id='my_access_key_id',
    aws_secret_access_key='my_secret_access_key'
    )

    #Creating S3 Resource From the Session.
    s3 = session.resource('s3')

    result = s3.Bucket('flight-data-test-bucket').upload_file(r'C:\Users\plata\OneDrive\Υπολογιστής\projects backups\airflow-sqlserver\dags\pricedata.xlsx', 'pricedata.xlsx')

    return (result)

with DAG(
    dag_id='file_to_s3',
    start_date=datetime(2022, 12, 5),
    catchup=False
) as dag:
    # Upload the file
    task_file_to_s3 = PythonOperator(
        task_id='file_to_s3',
        python_callable=file_to_s3()
    )

我不明白为什么会发生这种情况，因为我已经将我的本地文件存储到我的"dags"文件夹：
pricedata.xlsx location
我的"dags"文件夹已经安装在 * docker-compose. yml * 文件中，如下所示：

environment:
    &airflow-common-env
    AIRFLOW__CORE__EXECUTOR: CeleryExecutor
    AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
    # For backward compatibility, with Airflow <2.3
    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'
    _PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-}
  volumes:
    - ./dags:/opt/airflow/dags
    - ./logs:/opt/airflow/logs
    - ./plugins:/opt/airflow/plugins
    - ./data:/opt/airflow/data
  user: "${AIRFLOW_UID:-50000}:0"

有什么想法吗？这个问题会不会是我通过Docker在Windows上运行Airflow造成的？