如何在Airflow(dockercompose)中安装软件包?

2024-05-13 02:34:39 发布

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这个问题与the one already available非常相似。唯一的区别是我在docker中运行气流

逐步:

  1. docker-compose.yaml放入PyCharm项目
  2. requirements.txt放入PyCharm项目
  3. 运行docker-compose up
  4. 运行DAG并接收ModuleNotFoundError

我想从requirements.txt的依赖项开始using docker-compose。PyCharm解释器应在DAG执行期间提供这些依赖项

是否有不需要重建图像的解决方案


Tags: the项目composedockertxtyamlonepycharm
3条回答

在讨论中得到the answer。现在唯一的方法是安装额外的python包来构建自己的映像。我将尝试更详细地解释这个解决方案

步骤1。Dockerfiledocker-compose.yamlrequirements.txt文件放入项目目录

步骤2。粘贴到以下文件代码:

FROM apache/airflow:2.1.0
COPY requirements.txt .
RUN pip install -r requirements.txt

步骤3。粘贴到docker-compose.yaml代码,您可以找到in the official documentation。将第image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.1.0}节替换为build: .

 -
version: '3'
x-airflow-common:
  &airflow-common
  build: .
  # REPLACED # image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.1.0}
  environment:
    &airflow-common-env
    AIRFLOW__CORE__EXECUTOR: CeleryExecutor
    AIRFLOW__CORE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
    AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://airflow:airflow@postgres/airflow
    AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0
    AIRFLOW__CORE__FERNET_KEY: ''
    AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true'
    AIRFLOW__CORE__LOAD_EXAMPLES: 'false'
    AIRFLOW__API__AUTH_BACKEND: 'airflow.api.auth.backend.basic_auth'
  volumes:
    - ./dags:/opt/airflow/dags
    - ./logs:/opt/airflow/logs
    - ./plugins:/opt/airflow/plugins
  user: "${AIRFLOW_UID:-50000}:${AIRFLOW_GID:-50000}"
  depends_on:
    redis:
      condition: service_healthy
    postgres:
      condition: service_healthy

# ...

此时您的项目目录应如下所示:

airflow-project
|docker-compose.yaml
|Dockerfile
|requirements.txt

第4步。运行docker-compose up启动气流,docker-compose应该从Dockerfile自动构建图像。运行docker-compose build重建映像并更新依赖项

Is there a solution that doesn't require rebuilding the image?

是的,现在有:目前(2021年10月v2.2.0)它作为一个环境变量提供:

_PIP_ADDITIONAL_REQUIREMENTS

它在docker-compose.yml文件中使用。 正如其他一些答案所解释的那样,这应该可以在不建立完整形象的情况下实现(实际上非常好:-)

见:https://airflow.apache.org/docs/apache-airflow/stable/docker-compose.yaml

官方文件https://airflow.apache.org/docs/apache-airflow/stable/start/docker.html#environment-variables-supported-by-docker-compose

另一种方法是更新文件docker-compose.yml,将下面的行与所需的所有命令放在一起

  command: -c "pip3 install apache-airflow-providers-sftp  apache-airflow-providers-ssh  user"

并重建图像

docker-compose up airflow-init
docker-compose up

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