o-nikolas commented on code in PR #28161:
URL: https://github.com/apache/airflow/pull/28161#discussion_r1043628357
##########
airflow/utils/log/file_task_handler.py:
##########
@@ -173,88 +170,15 @@ def _read(self, ti: TaskInstance, try_number: int,
metadata: dict[str, Any] | No
log = f"*** Failed to load local log file: {location}\n"
log += f"*** {str(e)}\n"
return log, {"end_of_log": True}
- elif conf.get("core", "executor") == "KubernetesExecutor":
- try:
- from airflow.kubernetes.kube_client import get_kube_client
-
- kube_client = get_kube_client()
-
- if len(ti.hostname) >= 63:
- # Kubernetes takes the pod name and truncates it for the
hostname. This truncated hostname
- # is returned for the fqdn to comply with the 63 character
limit imposed by DNS standards
- # on any label of a FQDN.
- pod_list =
kube_client.list_namespaced_pod(conf.get("kubernetes_executor", "namespace"))
- matches = [
- pod.metadata.name
- for pod in pod_list.items
- if pod.metadata.name.startswith(ti.hostname)
- ]
- if len(matches) == 1:
- if len(matches[0]) > len(ti.hostname):
- ti.hostname = matches[0]
-
- log += f"*** Trying to get logs (last 100 lines) from worker
pod {ti.hostname} ***\n\n"
-
- res = kube_client.read_namespaced_pod_log(
- name=ti.hostname,
- namespace=conf.get("kubernetes_executor", "namespace"),
- container="base",
- follow=False,
- tail_lines=100,
- _preload_content=False,
- )
-
- for line in res:
- log += line.decode()
-
- except Exception as f:
- log += f"*** Unable to fetch logs from worker pod
{ti.hostname} ***\n{str(f)}\n\n"
- return log, {"end_of_log": True}
else:
- import httpx
- url = self._get_log_retrieval_url(ti, log_relative_path)
- log += f"*** Log file does not exist: {location}\n"
- log += f"*** Fetching from: {url}\n"
- try:
- timeout = None # No timeout
- try:
- timeout = conf.getint("webserver", "log_fetch_timeout_sec")
- except (AirflowConfigException, ValueError):
- pass
-
- signer = JWTSigner(
- secret_key=conf.get("webserver", "secret_key"),
- expiration_time_in_seconds=conf.getint(
- "webserver", "log_request_clock_grace", fallback=30
- ),
- audience="task-instance-logs",
- )
- response = httpx.get(
- url,
- timeout=timeout,
- headers={"Authorization":
signer.generate_signed_token({"filename": log_relative_path})},
- )
- response.encoding = "utf-8"
-
- if response.status_code == 403:
- log += (
- "*** !!!! Please make sure that all your Airflow
components (e.g. "
- "schedulers, webservers and workers) have "
- "the same 'secret_key' configured in 'webserver'
section and "
- "time is synchronized on all your machines (for
example with ntpd) !!!!!\n***"
- )
- log += (
- "*** See more at
https://airflow.apache.org/docs/apache-airflow/";
- "stable/configurations-ref.html#secret-key\n***"
- )
- # Check if the resource was properly fetched
- response.raise_for_status()
-
- log += "\n" + response.text
- except Exception as e:
- log += f"*** Failed to fetch log file from worker. {str(e)}\n"
- return log, {"end_of_log": True}
+ executor = ExecutorLoader.get_default_executor()
+ task_log = executor.get_task_log(ti,
log_relative_path=log_relative_path)
+
+ if isinstance(task_log, tuple):
+ return task_log
Review Comment:
Previously in the exception/end of log cases the `log` as well as
`{"end_of_log": True}` was returned. So shouldn't you return the whole tuple
here?
##########
airflow/executors/base_executor.py:
##########
@@ -373,6 +374,62 @@ def validate_airflow_tasks_run_command(command: list[str])
-> tuple[str | None,
return dag_id, task_id
return None, None
+ @staticmethod
+ def _get_log_retrieval_url(ti: TaskInstance, log_relative_path: str) ->
str:
+ url = urljoin(
+ f"http://{ti.hostname}:{conf.get('logging',
'WORKER_LOG_SERVER_PORT')}/log/",
+ log_relative_path,
+ )
+ return url
+
+ def get_task_log(self, ti: TaskInstance, log_relative_path: str) -> str |
tuple[str, dict[str, bool]]:
Review Comment:
This code to fetch logs from workers over the network is not related to
executors, so I don't think this implementation belongs in the base executor.
I'd actually propose to put this back into `file_task_handler.py` and for this
method on the base executor to just be a stub method with a `pass`.
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