# Copyright 2023 The Kubeflow Authors. All Rights Reserved.
#
# Licensed 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 typing import Dict

from google_cloud_pipeline_components.types.artifact_types import VertexDataset
from kfp.dsl import ConcatPlaceholder
from kfp.dsl import container_component
from kfp.dsl import ContainerSpec
from kfp.dsl import IfPresentPlaceholder
from kfp.dsl import Output


@container_component
def text_dataset_create(
    project: str,
    display_name: str,
    dataset: Output[VertexDataset],
    location: str = 'us-central1',
    data_item_labels: Dict[str, str] = {},
    gcs_source: str = '',
    import_schema_uri: str = '',
    labels: Dict[str, str] = {},
    encryption_spec_key_name: str = '',
):
  # fmt: off
  """Creates a new text dataset and optionally imports data into dataset when source and import_schema_uri are passed.

  Args:
      display_name (String):
        Required. The user-defined name of the
        Dataset. The name can be up to 128 characters long and can be
        consist of any UTF-8 characters.
      gcs_source (Union[str, Sequence[str]]):
        Google Cloud Storage URI(-s)
        to the input file(s). May contain wildcards. For more information
        on wildcards, see
          https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
          examples:
              str: "gs://bucket/file.csv" Sequence[str]:
                ["gs://bucket/file1.csv", "gs://bucket/file2.csv"]
      import_schema_uri (String):
        Points to a YAML file stored on Google
        Cloud Storage describing the import format. Validation will be
        done against the schema. The schema is defined as an `OpenAPI
        3.0.2 Schema Object <https://tinyurl.com/y538mdwt>`__.
      data_item_labels (Dict):
        Optiona. Labels that will be applied to
        newly imported DataItems. If an identical DataItem as one being
        imported already exists in the Dataset, then these labels will be
        appended to these of the already existing one, and if labels with
        identical key is imported before, the old label value will be
        overwritten. If two DataItems are identical in the same import
        data operation, the labels will be combined and if key collision
        happens in this case, one of the values will be picked randomly.
        Two DataItems are considered identical if their content bytes are
        identical (e.g. image bytes or pdf bytes). These labels will be
        overridden by Annotation labels specified inside index file
        refenced by ``import_schema_uri``, e.g. jsonl file.
      project (String):
        Required. project to retrieve dataset from.
      location (String):
        Optional location to retrieve dataset from.
      labels (Dict):
        Optional. Labels with user-defined metadata to
        organize your Tensorboards. Label keys and values can be no longer
        than 64 characters (Unicode codepoints), can only contain
        lowercase letters, numeric characters, underscores and dashes.
        International characters are allowed. No more than 64 user labels
        can be associated with one Tensorboard (System labels are
        excluded). See https://goo.gl/xmQnxf for more information and
        examples of labels. System reserved label keys are prefixed with
        "aiplatform.googleapis.com/" and are immutable.
      encryption_spec_key_name (Optional[String]):
        Optional. The Cloud KMS
        resource identifier of the customer managed encryption key used to
        protect the dataset. Has the form
        ``projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key``.
        The key needs to be in the same region as where the compute
        resource is created. If set, this Dataset and all
        sub-resources of this Dataset will be secured by this key.
        Overrides encryption_spec_key_name set in aiplatform.init.

  Returns:
      text_dataset (VertexDataset):
          Instantiated representation of the managed text dataset
          resource.
  """
  # fmt: on
  return ContainerSpec(
      image='gcr.io/ml-pipeline/google-cloud-pipeline-components:2.0.0b1',
      command=[
          'python3',
          '-m',
          'google_cloud_pipeline_components.container.aiplatform.remote_runner',
          '--cls_name',
          'TextDataset',
          '--method_name',
          'create',
      ],
      args=[
          '--method.project',
          project,
          '--method.location',
          location,
          '--method.display_name',
          display_name,
          '--method.data_item_labels',
          data_item_labels,
          IfPresentPlaceholder(
              input_name='gcs_source',
              then=ConcatPlaceholder(['--method.gcs_source', gcs_source]),
          ),
          IfPresentPlaceholder(
              input_name='import_schema_uri',
              then=ConcatPlaceholder(
                  ['--method.import_schema_uri', import_schema_uri]
              ),
          ),
          '--method.labels',
          labels,
          IfPresentPlaceholder(
              input_name='encryption_spec_key_name',
              then=ConcatPlaceholder([
                  '--method.encryption_spec_key_name',
                  encryption_spec_key_name,
              ]),
          ),
          '--executor_input',
          '{{$}}',
          '--resource_name_output_artifact_uri',
          dataset.uri,
      ],
  )
