Code is loading and never shown

[martin-ubm]

Under which category would you file this issue?

Airflow Core

Apache Airflow version

3.2.1

What happened and how to reproduce it?

After upgrading to Airflow 3.2.1, the DAG code is not loading:

Same goes for Default Args and Params in Details tab:

This worked in Airflow 3.1.8.

What you think should happen instead?

Code and parameters should be loaded and shown on screen.

Operating System

No response

Deployment

Official Apache Airflow Helm Chart

Apache Airflow Provider(s)

No response

Versions of Apache Airflow Providers

apache-airflow-providers-amazon==9.25.0
apache-airflow-providers-celery==3.18.0
apache-airflow-providers-cncf-kubernetes==10.16.0
apache-airflow-providers-common-compat==1.14.3
apache-airflow-providers-common-io==1.7.2
apache-airflow-providers-common-messaging==2.0.3
apache-airflow-providers-common-sql==1.34.0
apache-airflow-providers-docker==4.5.5
apache-airflow-providers-elasticsearch==6.5.2
apache-airflow-providers-fab==3.6.1
apache-airflow-providers-ftp==3.14.3
apache-airflow-providers-git==0.3.1
apache-airflow-providers-google==21.1.0
apache-airflow-providers-grpc==3.9.4
apache-airflow-providers-hashicorp==4.5.2
apache-airflow-providers-http==6.0.2
apache-airflow-providers-microsoft-azure==13.1.1
apache-airflow-providers-mysql==6.5.2
apache-airflow-providers-odbc==4.12.2
apache-airflow-providers-openlineage==2.14.0
apache-airflow-providers-postgres==6.6.3
apache-airflow-providers-redis==4.4.4
apache-airflow-providers-sendgrid==4.2.2
apache-airflow-providers-sftp==5.7.3
apache-airflow-providers-slack==9.10.0
apache-airflow-providers-smtp==2.4.5
apache-airflow-providers-snowflake==6.12.1
apache-airflow-providers-ssh==5.0.0
apache-airflow-providers-standard==1.12.3

Official Helm Chart version

1.21.0 (latest released)

Kubernetes Version

1.33.4

Helm Chart configuration

...
dagProcessor:
  dagBundleConfigList:
    - name: s3-dags
      classpath: "airflow.providers.amazon.aws.bundles.s3.S3DagBundle"
      kwargs:
        aws_conn_id: aws_default
        bucket_name: airflow-dags
        prefix: platform/
        refresh_interval: 60
....

Docker Image customizations

We add:

• pyspark
• pandas
• numpy
• pyarrow
• polars

Anything else?

We run Airflow in an air-gapped environment without Internet access.

Are you willing to submit PR?

• Yes I am willing to submit a PR!

Code of Conduct

• I agree to follow this project's Code of Conduct

[boring-cyborg]

Thanks for opening your first issue here! Be sure to follow the issue template! If you are willing to raise PR to address this issue please do so, no need to wait for approval.

[martin-ubm]

The reason might be the loader.js, which is tried to be fetched from https://cdn.jsdelivr.net/npm/monaco-editor@0.52.2/min/vs/loader.js, fails because of air-gapped environment.

We need this bundled.

[loicmas]

Thank you for raising the issue - not only that but we cannot trigger a DAG with parameters anymore as well. See the loading state here below.

[parkhojeong]

Thanks for the report. I'll take a look

[parkhojeong]

@martin-ubm @loicmas
i made #66647 for this.