Source code for airflow.providers.amazon.aws.operators.sagemaker_base

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import json
from typing import Iterable

try:
    from functools import cached_property
except ImportError:
    from cached_property import cached_property

from airflow.models import BaseOperator
from airflow.providers.amazon.aws.hooks.sagemaker import SageMakerHook


[docs]class SageMakerBaseOperator(BaseOperator): """ This is the base operator for all SageMaker operators. :param config: The configuration necessary to start a training job (templated) :type config: dict :param aws_conn_id: The AWS connection ID to use. :type aws_conn_id: str """
[docs] template_fields = ['config']
[docs] template_ext = ()
[docs] template_fields_renderers = {"config": "json"}
[docs] ui_color = '#ededed'
[docs] integer_fields = [] # type: Iterable[Iterable[str]]
def __init__(self, *, config: dict, aws_conn_id: str = 'aws_default', **kwargs): super().__init__(**kwargs) self.aws_conn_id = aws_conn_id self.config = config
[docs] def parse_integer(self, config, field): """Recursive method for parsing string fields holding integer values to integers.""" if len(field) == 1: if isinstance(config, list): for sub_config in config: self.parse_integer(sub_config, field) return head = field[0] if head in config: config[head] = int(config[head]) return if isinstance(config, list): for sub_config in config: self.parse_integer(sub_config, field) return head, tail = field[0], field[1:] if head in config: self.parse_integer(config[head], tail) return
[docs] def parse_config_integers(self): """ Parse the integer fields of training config to integers in case the config is rendered by Jinja and all fields are str. """ for field in self.integer_fields: self.parse_integer(self.config, field)
[docs] def expand_role(self):
"""Placeholder for calling boto3's `expand_role`, which expands an IAM role name into an ARN."""
[docs] def preprocess_config(self): """Process the config into a usable form.""" self.log.info('Preprocessing the config and doing required s3_operations') self.hook.configure_s3_resources(self.config) self.parse_config_integers() self.expand_role() self.log.info( "After preprocessing the config is:\n %s", json.dumps(self.config, sort_keys=True, indent=4, separators=(",", ": ")),
)
[docs] def execute(self, context): raise NotImplementedError('Please implement execute() in sub class!')
@cached_property
[docs] def hook(self): """Return SageMakerHook""" return SageMakerHook(aws_conn_id=self.aws_conn_id)

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