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# 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
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"""This module contains Google Translate links."""
from __future__ import annotations
from typing import TYPE_CHECKING
from airflow.providers.google.cloud.links.base import BASE_LINK, BaseGoogleLink
if TYPE_CHECKING:
from airflow.utils.context import Context
[docs]TRANSLATION_BASE_LINK = BASE_LINK + "/translation"
[docs]TRANSLATION_LEGACY_DATASET_LINK = (
TRANSLATION_BASE_LINK + "/locations/{location}/datasets/{dataset_id}/sentences?project={project_id}"
)
[docs]TRANSLATION_DATASET_LIST_LINK = TRANSLATION_BASE_LINK + "/datasets?project={project_id}"
[docs]TRANSLATION_LEGACY_MODEL_LINK = (
TRANSLATION_BASE_LINK
+ "/locations/{location}/datasets/{dataset_id}/evaluate;modelId={model_id}?project={project_id}"
)
[docs]TRANSLATION_LEGACY_MODEL_TRAIN_LINK = (
TRANSLATION_BASE_LINK + "/locations/{location}/datasets/{dataset_id}/train?project={project_id}"
)
[docs]TRANSLATION_LEGACY_MODEL_PREDICT_LINK = (
TRANSLATION_BASE_LINK
+ "/locations/{location}/datasets/{dataset_id}/predict;modelId={model_id}?project={project_id}"
)
[docs]class TranslationLegacyDatasetLink(BaseGoogleLink):
"""
Helper class for constructing Legacy Translation Dataset link.
Legacy Datasets are created and managed by AutoML API.
"""
[docs] name = "Translation Legacy Dataset"
[docs] key = "translation_legacy_dataset"
@staticmethod
[docs] def persist(
context: Context,
task_instance,
dataset_id: str,
project_id: str,
):
task_instance.xcom_push(
context,
key=TranslationLegacyDatasetLink.key,
value={"location": task_instance.location, "dataset_id": dataset_id, "project_id": project_id},
)
[docs]class TranslationDatasetListLink(BaseGoogleLink):
"""Helper class for constructing Translation Dataset List link."""
[docs] name = "Translation Dataset List"
[docs] key = "translation_dataset_list"
@staticmethod
[docs] def persist(
context: Context,
task_instance,
project_id: str,
):
task_instance.xcom_push(
context,
key=TranslationDatasetListLink.key,
value={
"project_id": project_id,
},
)
[docs]class TranslationLegacyModelLink(BaseGoogleLink):
"""
Helper class for constructing Translation Legacy Model link.
Legacy Models are created and managed by AutoML API.
"""
[docs] name = "Translation Legacy Model"
[docs] key = "translation_legacy_model"
@staticmethod
[docs] def persist(
context: Context,
task_instance,
dataset_id: str,
model_id: str,
project_id: str,
):
task_instance.xcom_push(
context,
key=TranslationLegacyModelLink.key,
value={
"location": task_instance.location,
"dataset_id": dataset_id,
"model_id": model_id,
"project_id": project_id,
},
)
[docs]class TranslationLegacyModelTrainLink(BaseGoogleLink):
"""
Helper class for constructing Translation Legacy Model Train link.
Legacy Models are created and managed by AutoML API.
"""
[docs] name = "Translation Legacy Model Train"
[docs] key = "translation_legacy_model_train"
@staticmethod
[docs] def persist(
context: Context,
task_instance,
project_id: str,
):
task_instance.xcom_push(
context,
key=TranslationLegacyModelTrainLink.key,
value={
"location": task_instance.location,
"dataset_id": task_instance.model["dataset_id"],
"project_id": project_id,
},
)
[docs]class TranslationLegacyModelPredictLink(BaseGoogleLink):
"""
Helper class for constructing Translation Legacy Model Predict link.
Legacy Models are created and managed by AutoML API.
"""
[docs] name = "Translation Legacy Model Predict"
[docs] key = "translation_legacy_model_predict"
@staticmethod
[docs] def persist(
context: Context,
task_instance,
model_id: str,
project_id: str,
):
task_instance.xcom_push(
context,
key=TranslationLegacyModelPredictLink.key,
value={
"location": task_instance.location,
"dataset_id": task_instance.model.dataset_id,
"model_id": model_id,
"project_id": project_id,
},
)