nvembar opened a new issue #14682:
URL: https://github.com/apache/airflow/issues/14682
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**Apache Airflow version**:
**Kubernetes version (if you are using kubernetes)** (use `kubectl version`):
**Environment**:
- **Cloud provider or hardware configuration**:
- **OS** (e.g. from /etc/os-release):
- **Kernel** (e.g. `uname -a`):
- **Install tools**: Docker
**What happened**:
When passing a templatized `dest_gcs` argument to the `S3ToGCSOperator`
operator, the DAG fails to import because the constructor attempts to test the
validity of the URL before the template has been populated in `execute`.
The error is:
```
Broken DAG: [/opt/airflow/dags/bad_gs_dag.py] Traceback (most recent call
last):
File
"/home/airflow/.local/lib/python3.8/site-packages/airflow/providers/google/cloud/hooks/gcs.py",
line 1051, in gcs_object_is_directory
_, blob = _parse_gcs_url(bucket)
File
"/home/airflow/.local/lib/python3.8/site-packages/airflow/providers/google/cloud/hooks/gcs.py",
line 1063, in _parse_gcs_url
raise AirflowException('Please provide a bucket name')
airflow.exceptions.AirflowException: Please provide a bucket name
```
**What you expected to happen**:
The DAG should successfully parse when using a templatized `dest_gcs` value.
**How to reproduce it**:
Instantiating a `S3ToGCSOperator` task with `dest_gcs="{{ var.gcs_url }}"`
fails.
<details>
```python
from airflow.decorators import dag
from airflow.utils.dates import days_ago
from airflow.providers.google.cloud.transfers.s3_to_gcs import
S3ToGCSOperator
@dag(
schedule_interval=None,
description="Demo S3-to-GS Bug",
catchup=False,
start_date=days_ago(1),
)
def demo_bug():
S3ToGCSOperator(
task_id="transfer_task",
bucket="example_bucket",
prefix="fake/prefix",
dest_gcs="{{ var.gcs_url }}",
)
demo_dag = demo_bug()
```
</details>
**Anything else we need to know**:
Should be fixable by moving the code that evaluates whether the URL is a
folder to `execute()`.
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