Alxander64 opened a new issue #16125:
URL: https://github.com/apache/airflow/issues/16125
**Apache Airflow version**: v2.0.1
**Kubernetes version (if you are using kubernetes)** (use `kubectl
version`): 1.16
**Environment**: Kubernetes (EKS)
- **Cloud provider or hardware configuration**: AWS
- **OS** (e.g. from /etc/os-release):
- **Kernel** (e.g. `uname -a`):
- **Install tools**: Helm
- **Others**:
**What happened**:
Using task instance of KubernetesPodOperator as shown below, when the DAG
runs the Jinja templating is applied for the `arguments` parameter, but not for
the `env_vars` parameter, as we see in the logs from the task no all lines have
the expected values substituted.
```
from airflow.contrib.operators.kubernetes_pod_operator import
KubernetesPodOperator
ds = "{{ ds }}"
ts = "{{ ts }}"
passing = KubernetesPodOperator(
namespace='airflow',
image="python:3.6",
cmds=["python", "-c"],
arguments=[f"import os; print('{my_secret}'); print('{ds}');
print('{ts}'); print(os.environ['TEST_DS']); print(os.environ['TEST_TS']);
exit(0)"],
env_vars={
"TEST_DS": ds,
"TEST_TS": "{{ ts }}"
},
labels={"foo": "bar"},
name="passing-task",
task_id="passing-task",
is_delete_operator_pod=True,
get_logs=True,
dag=dag,
)
```
```
[2021-05-27 19:17:33,424] {pod_launcher.py:136} INFO - this is the value for
this variable
[2021-05-27 19:17:33,424] {pod_launcher.py:136} INFO - 2021-05-27
[2021-05-27 19:17:33,425] {pod_launcher.py:136} INFO -
2021-05-27T19:17:25.205147+00:00
[2021-05-27 19:17:33,425] {pod_launcher.py:136} INFO - {{ ds }}
[2021-05-27 19:17:33,425] {pod_launcher.py:136} INFO - {{ ts }}
```
**What you expected to happen**:
It is documented
[here](https://airflow.apache.org/docs/apache-airflow-providers-cncf-kubernetes/stable/_api/airflow/providers/cncf/kubernetes/operators/kubernetes_pod/index.html#airflow.providers.cncf.kubernetes.operators.kubernetes_pod.KubernetesPodOperator.template_fields)
that both `arguments` and `env_vars` are templated fields.
I expect that Jinja templating is applied as expected to values in both
paramters, being the items in the `arguments` list, and the values of the
`env_vars` dictionary.
**How to reproduce it**:
Create a sample DAG with a task defined as above, and run the DAG.
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