Source code for airflow.providers.cncf.kubernetes.kubernetes_helper_functions

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from __future__ import annotations

import logging
import secrets
import string
import warnings
from typing import TYPE_CHECKING

import pendulum
from slugify import slugify

from airflow.compat.functools import cache
from airflow.configuration import conf
from airflow.exceptions import AirflowProviderDeprecationWarning

if TYPE_CHECKING:
    from airflow.models.taskinstancekey import TaskInstanceKey

[docs]log = logging.getLogger(__name__)
[docs]alphanum_lower = string.ascii_lowercase + string.digits
[docs]POD_NAME_MAX_LENGTH = 63 # Matches Linux kernel's HOST_NAME_MAX default value minus 1.
def rand_str(num): """Generate random lowercase alphanumeric string of length num. :meta private: """ return "".join(secrets.choice(alphanum_lower) for _ in range(num)) def add_unique_suffix(*, name: str, rand_len: int = 8, max_len: int = POD_NAME_MAX_LENGTH) -> str: """Add random string to pod or job name while staying under max length. :param name: name of the pod or job :param rand_len: length of the random string to append :param max_len: maximum length of the pod name :meta private: """ suffix = "-" + rand_str(rand_len) return name[: max_len - len(suffix)].strip("-.") + suffix def add_pod_suffix(*, pod_name: str, rand_len: int = 8, max_len: int = POD_NAME_MAX_LENGTH) -> str: """Add random string to pod name while staying under max length. :param pod_name: name of the pod :param rand_len: length of the random string to append :param max_len: maximum length of the pod name :meta private: """ warnings.warn( "This function is deprecated. Please use `add_unique_suffix`.", AirflowProviderDeprecationWarning, stacklevel=2, ) suffix = "-" + rand_str(rand_len) return pod_name[: max_len - len(suffix)].strip("-.") + suffix
[docs]def create_unique_id( dag_id: str | None = None, task_id: str | None = None, *, max_length: int = POD_NAME_MAX_LENGTH, unique: bool = True, ) -> str: """ Generate unique pod or job ID given a dag_id and / or task_id. :param dag_id: DAG ID :param task_id: Task ID :param max_length: max number of characters :param unique: whether a random string suffix should be added :return: A valid identifier for a kubernetes pod name """ if not (dag_id or task_id): raise ValueError("Must supply either dag_id or task_id.") name = "" if dag_id: name += dag_id if task_id: if name: name += "-" name += task_id base_name = slugify(name, lowercase=True)[:max_length].strip(".-") if unique: return add_unique_suffix(name=base_name, rand_len=8, max_len=max_length) else: return base_name
[docs]def create_pod_id( dag_id: str | None = None, task_id: str | None = None, *, max_length: int = POD_NAME_MAX_LENGTH, unique: bool = True, ) -> str: """ Generate unique pod ID given a dag_id and / or task_id. :param dag_id: DAG ID :param task_id: Task ID :param max_length: max number of characters :param unique: whether a random string suffix should be added :return: A valid identifier for a kubernetes pod name """ warnings.warn( "This function is deprecated. Please use `create_unique_id`.", AirflowProviderDeprecationWarning, stacklevel=2, ) if not (dag_id or task_id): raise ValueError("Must supply either dag_id or task_id.") name = "" if dag_id: name += dag_id if task_id: if name: name += "-" name += task_id base_name = slugify(name, lowercase=True)[:max_length].strip(".-") if unique: return add_pod_suffix(pod_name=base_name, rand_len=8, max_len=max_length) else: return base_name
[docs]def annotations_to_key(annotations: dict[str, str]) -> TaskInstanceKey: """Build a TaskInstanceKey based on pod annotations.""" log.debug("Creating task key for annotations %s", annotations) dag_id = annotations["dag_id"] task_id = annotations["task_id"] try_number = int(annotations["try_number"]) annotation_run_id = annotations.get("run_id") map_index = int(annotations.get("map_index", -1)) # Compat: Look up the run_id from the TI table! from airflow.models.dagrun import DagRun from airflow.models.taskinstance import TaskInstance, TaskInstanceKey from airflow.settings import Session if not annotation_run_id and "execution_date" in annotations: execution_date = pendulum.parse(annotations["execution_date"]) # Do _not_ use create-session, we don't want to expunge session = Session() task_instance_run_id = ( session.query(TaskInstance.run_id) .join(TaskInstance.dag_run) .filter( TaskInstance.dag_id == dag_id, TaskInstance.task_id == task_id, DagRun.execution_date == execution_date, ) .scalar() ) else: task_instance_run_id = annotation_run_id return TaskInstanceKey( dag_id=dag_id, task_id=task_id, run_id=task_instance_run_id, try_number=try_number, map_index=map_index, )
@cache
[docs]def get_logs_task_metadata() -> bool: return conf.getboolean("kubernetes_executor", "logs_task_metadata")
[docs]def annotations_for_logging_task_metadata(annotation_set): if get_logs_task_metadata(): annotations_for_logging = annotation_set else: annotations_for_logging = "<omitted>" return annotations_for_logging

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