stephen-bracken opened a new issue, #68075:
URL: https://github.com/apache/airflow/issues/68075
### Under which category would you file this issue?
Airflow Core
### Apache Airflow version
3.2.0
### What happened and how to reproduce it?
The scheduler `_enqueue_task_instances_with_queued_state` function raises a
templating error on the log_filename_template because `ti.logical_date` is not
set before the log filename. Since I am using s3 buckets as the log backend, I
am using `ts_nodash` in the log file name instead of `ti.run_id`, because
standard airflow run ids do not form valid s3 object paths.
config (using S3 remote logging connection)
```
[logging]
colored_console_log = False
dag_processor_log_target = stdout
delete_local_logs = True
enable_task_context_logger = True
encrypt_s3_logs = False
json_logs = True
log_filename_template = shared/{{ ti.dag_id }}/{{ ts_nodash |
default(ti.logical_date.strftime("%%Y%%m%%dT%%H%%M%%S")) }}/{{ ti.task_id
}}/{%% if ti.map_index >= 0 %%}index_{{ ti.map_index }}/{%% endif %%}attempt_{{
try_number | default(ti.try_number) }}.log
remote_logging = True
task_log_reader = task
worker_log_server_port = 8793
```
```
{"timestamp":"2026-06-05T12:13:11.047015Z","level":"critical","event":"Unhandled
exception","logger":"unhandled_exception","filename":"structlog.py","lineno":689,"exception":[{"exc_type":"UndefinedError","exc_value":"'None'
has no attribute
'strftime'","exc_notes":[],"syntax_error":null,"is_cause":false,"frames":[{"filename":"/home/airflow/.local/bin/airflow","lineno":6,"name":"<module>"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/airflow/__main__.py","lineno":55,"name":"main"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/airflow/cli/cli_config.py","lineno":49,"name":"command"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/airflow/utils/cli.py","lineno":113,"name":"wrapper"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/airflow/utils/providers_configuration_loader.py","lineno":54,"name":"wrapped_function"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/airflow/cli/commands/scheduler_command.py"
,"lineno":66,"name":"scheduler"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/airflow/cli/commands/daemon_utils.py","lineno":86,"name":"run_command_with_daemon_option"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/airflow/cli/commands/scheduler_command.py","lineno":69,"name":"<lambda>"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/airflow/utils/memray_utils.py","lineno":59,"name":"wrapper"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/airflow/cli/commands/scheduler_command.py","lineno":48,"name":"_run_scheduler_job"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/airflow/utils/session.py","lineno":100,"name":"wrapper"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/airflow/jobs/job.py","lineno":355,"name":"run_job"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/airflow/jobs/job.py","lineno":384,"name":"execute_job"},{"filename":"/home/airflow/.local/lib/python3.11
/site-packages/airflow/jobs/scheduler_job_runner.py","lineno":1463,"name":"_execute"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/airflow/jobs/scheduler_job_runner.py","lineno":1602,"name":"_run_scheduler_loop"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/airflow/jobs/scheduler_job_runner.py","lineno":1747,"name":"_do_scheduling"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/airflow/jobs/scheduler_job_runner.py","lineno":1036,"name":"_critical_section_enqueue_task_instances"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/airflow/jobs/scheduler_job_runner.py","lineno":982,"name":"_enqueue_task_instances_with_queued_state"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/airflow/executors/workloads/task.py","lineno":94,"name":"make"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/jinja2/environment.py","lineno":1295,"name":"render"},{"filename":"/home/airflow/.local/lib/python3.11/s
ite-packages/jinja2/environment.py","lineno":942,"name":"handle_exception"},{"filename":"<template>","lineno":1,"name":"top-level
template
code"},{"filename":"/home/airflow/.local/lib/python3.11/site-packages/jinja2/utils.py","lineno":92,"name":"from_obj"}],"is_group":false,"exceptions":[]}]}
{"timestamp":"2026-06-05T12:13:11.047459Z","level":"debug","event":"Disposing
DB connection pool (PID
7)","logger":"airflow.settings","filename":"settings.py","lineno":581}
```
### What you think should happen instead?
The `ti.logical_date` (and preferably `ts_nodash`) field needs to be
populated before the scheduler attempts to create the ti's logfile.
### Operating System
Debian GNU/Linux 12 (bookworm)
### Deployment
Other
### Apache Airflow Provider(s)
amazon
### Versions of Apache Airflow Providers
apache-airflow-providers-amazon==9.25.0
apache-airflow-providers-celery==3.18.0
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-standard==1.12.3
### Official Helm Chart version
Not Applicable
### Kubernetes Version
1.33.5
### Helm Chart configuration
_No response_
### Docker Image customizations
some additional pip packages for tasks
### Anything else?
Custom multi team deployment on kubernetes.
Occurs on scheduler startup when tasks are enqueued.
### Are you willing to submit PR?
- [ ] Yes I am willing to submit a PR!
### Code of Conduct
- [x] I agree to follow this project's [Code of
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
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