该组件为 JupyterLab 提供了一个 DAG 的可视化编辑组件, 能够将 Notebook 或 Python 脚本连接形成工作流, 并基于 Airflow 做定时调度执行. 本项目 fork 自 https://github.com/elyra-ai/elyra, 在官方代码的基础上进行二次开发.
make install
配置文件路径:
<sys-prefix>/share/jupyter/metadata/runtimes/<文件名>.json
对应的 JupyterHub Docker 镜像的挂载路径:
/usr/local/share/jupyter/metadata/runtimes/yili-test.json
配置文件样例 (yili-test.json):
{
"display_name": "yili-test",
"metadata": {
"tags": [],
"display_name": "yili-test",
"user_namespace": "airflow01",
"git_type": "GITLAB",
"github_api_endpoint": "http://XXXX/",
"api_endpoint": "http://XXXX/",
"github_repo": "repo/dags",
"github_branch": "master",
"github_repo_token": "XXXXXXXXXXXX",
"cos_auth_type": "USER_CREDENTIALS",
"cos_endpoint": "http://XXXX/",
"cos_bucket": "mybucket",
"cos_username": "local",
"cos_password": "local1234",
"runtime_type": "APACHE_AIRFLOW"
},
"schema_name": "airflow"
}