Source code for airflow.providers.google.cloud.links.automl

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# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
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#   http://www.apache.org/licenses/LICENSE-2.0
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"""This module contains Google AutoML links."""
from __future__ import annotations

from typing import TYPE_CHECKING

from airflow.providers.google.cloud.links.base import BaseGoogleLink

if TYPE_CHECKING:
    from airflow.utils.context import Context

[docs]AUTOML_BASE_LINK = "https://console.cloud.google.com/automl-tables"
[docs]AUTOML_DATASET_LINK = (
    AUTOML_BASE_LINK + "/locations/{location}/datasets/{dataset_id}/schemav2?project={project_id}"
)
[docs]AUTOML_DATASET_LIST_LINK = AUTOML_BASE_LINK + "/datasets?project={project_id}"
[docs]AUTOML_MODEL_LINK = (
    AUTOML_BASE_LINK
    + "/locations/{location}/datasets/{dataset_id};modelId={model_id}/evaluate?project={project_id}"
)
[docs]AUTOML_MODEL_TRAIN_LINK = (
    AUTOML_BASE_LINK + "/locations/{location}/datasets/{dataset_id}/train?project={project_id}"
)
[docs]AUTOML_MODEL_PREDICT_LINK = (
    AUTOML_BASE_LINK
    + "/locations/{location}/datasets/{dataset_id};modelId={model_id}/predict?project={project_id}"
)


[docs]class AutoMLDatasetLink(BaseGoogleLink):
    """Helper class for constructing AutoML Dataset link."""

[docs]    name = "AutoML Dataset"
[docs]    key = "automl_dataset"
[docs]    format_str = AUTOML_DATASET_LINK

    @staticmethod
[docs]    def persist(
        context: Context,
        task_instance,
        dataset_id: str,
        project_id: str,
    ):
        task_instance.xcom_push(
            context,
            key=AutoMLDatasetLink.key,
            value={"location": task_instance.location, "dataset_id": dataset_id, "project_id": project_id},
        )


[docs]class AutoMLDatasetListLink(BaseGoogleLink):
    """Helper class for constructing AutoML Dataset List link."""

[docs]    name = "AutoML Dataset List"
[docs]    key = "automl_dataset_list"
[docs]    format_str = AUTOML_DATASET_LIST_LINK

    @staticmethod
[docs]    def persist(
        context: Context,
        task_instance,
        project_id: str,
    ):
        task_instance.xcom_push(
            context,
            key=AutoMLDatasetListLink.key,
            value={
                "project_id": project_id,
            },
        )


[docs]class AutoMLModelLink(BaseGoogleLink):
    """Helper class for constructing AutoML Model link."""

[docs]    name = "AutoML Model"
[docs]    key = "automl_model"
[docs]    format_str = AUTOML_MODEL_LINK

    @staticmethod
[docs]    def persist(
        context: Context,
        task_instance,
        dataset_id: str,
        model_id: str,
        project_id: str,
    ):
        task_instance.xcom_push(
            context,
            key=AutoMLModelLink.key,
            value={
                "location": task_instance.location,
                "dataset_id": dataset_id,
                "model_id": model_id,
                "project_id": project_id,
            },
        )


[docs]class AutoMLModelTrainLink(BaseGoogleLink):
    """Helper class for constructing AutoML Model Train link."""

[docs]    name = "AutoML Model Train"
[docs]    key = "automl_model_train"
[docs]    format_str = AUTOML_MODEL_TRAIN_LINK

    @staticmethod
[docs]    def persist(
        context: Context,
        task_instance,
        project_id: str,
    ):
        task_instance.xcom_push(
            context,
            key=AutoMLModelTrainLink.key,
            value={
                "location": task_instance.location,
                "dataset_id": task_instance.model["dataset_id"],
                "project_id": project_id,
            },
        )


[docs]class AutoMLModelPredictLink(BaseGoogleLink):
    """Helper class for constructing AutoML Model Predict link."""

[docs]    name = "AutoML Model Predict"
[docs]    key = "automl_model_predict"
[docs]    format_str = AUTOML_MODEL_PREDICT_LINK

    @staticmethod
[docs]    def persist(
        context: Context,
        task_instance,
        model_id: str,
        project_id: str,
    ):
        task_instance.xcom_push(
            context,
            key=AutoMLModelPredictLink.key,
            value={
                "location": task_instance.location,
                "dataset_id": "-",
                "model_id": model_id,
                "project_id": project_id,
            },
        )