#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations
from functools import cached_property
from typing import TYPE_CHECKING, ClassVar, Collection, Sequence
import attr
import papermill as pm
from airflow.lineage.entities import File
from airflow.models import BaseOperator
from airflow.providers.papermill.hooks.kernel import REMOTE_KERNEL_ENGINE, KernelHook
if TYPE_CHECKING:
from airflow.utils.context import Context
@attr.s(auto_attribs=True)
[docs]class NoteBook(File):
"""Jupyter notebook."""
[docs] template_fields: ClassVar[Collection[str]] = {"parameters", *File.template_fields}
[docs] type_hint: str | None = "jupyter_notebook"
[docs] parameters: dict | None = {}
[docs]class PapermillOperator(BaseOperator):
"""
Executes a jupyter notebook through papermill that is annotated with parameters.
:param input_nb: input notebook, either path or NoteBook inlet.
:param output_nb: output notebook, either path or NoteBook outlet.
:param parameters: the notebook parameters to set
:param kernel_name: (optional) name of kernel to execute the notebook against
(ignores kernel name in the notebook document metadata)
"""
[docs] supports_lineage = True
[docs] template_fields: Sequence[str] = (
"input_nb",
"output_nb",
"parameters",
"kernel_name",
"language_name",
"kernel_conn_id",
)
def __init__(
self,
*,
input_nb: str | NoteBook | None = None,
output_nb: str | NoteBook | None = None,
parameters: dict | None = None,
kernel_name: str | None = None,
language_name: str | None = None,
kernel_conn_id: str | None = None,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.parameters = parameters
if not input_nb:
raise ValueError("Input notebook is not specified")
self.input_nb = input_nb
if not output_nb:
raise ValueError("Output notebook is not specified")
self.output_nb = output_nb
self.kernel_name = kernel_name
self.language_name = language_name
self.kernel_conn_id = kernel_conn_id
[docs] def execute(self, context: Context):
if not isinstance(self.input_nb, NoteBook):
self.input_nb = NoteBook(url=self.input_nb, parameters=self.parameters)
if not isinstance(self.output_nb, NoteBook):
self.output_nb = NoteBook(url=self.output_nb)
self.inlets.append(self.input_nb)
self.outlets.append(self.output_nb)
remote_kernel_kwargs = {}
kernel_hook = self.hook
if kernel_hook:
engine_name = REMOTE_KERNEL_ENGINE
kernel_connection = kernel_hook.get_conn()
remote_kernel_kwargs = {
"kernel_ip": kernel_connection.ip,
"kernel_shell_port": kernel_connection.shell_port,
"kernel_iopub_port": kernel_connection.iopub_port,
"kernel_stdin_port": kernel_connection.stdin_port,
"kernel_control_port": kernel_connection.control_port,
"kernel_hb_port": kernel_connection.hb_port,
"kernel_session_key": kernel_connection.session_key,
}
else:
engine_name = None
pm.execute_notebook(
self.input_nb.url,
self.output_nb.url,
parameters=self.input_nb.parameters,
progress_bar=False,
report_mode=True,
kernel_name=self.kernel_name,
language=self.language_name,
engine_name=engine_name,
**remote_kernel_kwargs,
)
@cached_property
[docs] def hook(self) -> KernelHook | None:
"""Get valid hook."""
if self.kernel_conn_id:
return KernelHook(kernel_conn_id=self.kernel_conn_id)
else:
return None