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# Licensed under the Apache License, Version 2.0 (the "License");
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"""`gcloud dataplex datascans create data-profile` command."""

from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals

from googlecloudsdk.api_lib.dataplex import datascan
from googlecloudsdk.api_lib.dataplex import util as dataplex_util
from googlecloudsdk.api_lib.util import exceptions as gcloud_exception
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.dataplex import resource_args
from googlecloudsdk.command_lib.util.args import labels_util
from googlecloudsdk.core import log


@base.ReleaseTracks(base.ReleaseTrack.ALPHA, base.ReleaseTrack.GA)
class DataProfile(base.Command):
  """Create a Dataplex data profile scan job.

  Represents a user-visible job which provides the insights for the
  related data source about the structure, content and relationships
  (such as null percent, cardinality, min/max/mean, etc).
  """

  detailed_help = {
      'EXAMPLES': """\

          To create a data profile scan `data-profile-datascan`
          in project `test-project` located in `us-central1` on bigquery resource table `test-table` in dataset `test-dataset`, run:

            $ {command} data-profile-datascan --project=test-project --location=us-central1 --data-source-resource="//bigquery.googleapis.com/projects/test-project/datasets/test-dataset/tables/test-table"

          """,
  }

  @staticmethod
  def Args(parser):
    resource_args.AddDatascanResourceArg(
        parser, 'to create a data profile scan for.'
    )
    parser.add_argument(
        '--description',
        required=False,
        help='Description of the data profile scan.',
    )
    parser.add_argument(
        '--display-name',
        required=False,
        help='Display name of the data profile scan.',
    )
    data_source = parser.add_group(
        mutex=True,
        required=True,
        help='Data source for the data profile scan.',
    )
    data_source.add_argument(
        '--data-source-entity',
        help=(
            'Dataplex entity that contains the data for the data profile scan,'
            ' of the'
            ' form:'
            ' `projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}`.'
        ),
    )
    data_source.add_argument(
        '--data-source-resource',
        help=(
            'Fully-qualified service resource name of the cloud resource that'
            ' contains the data for the data profile scan, of the form:'
            ' `//bigquery.googleapis.com/projects/{project_number}/datasets/{dataset_id}/tables/{table_id}`.'
        ),
    )
    data_spec = parser.add_group(
        mutex=True,
        help='Data spec for the data profile scan.',
    )
    data_spec.add_argument(
        '--data-profile-spec-file',
        help=(
            'path to the JSON/YAML file containing the spec for'
            ' the data profile scan. The JSON representation reference:'
            ' https://cloud.google.com/dataplex/docs/reference/rest/v1/DataProfileSpec'
        ),
    )
    data_spec_arg = data_spec.add_group(
        help='Command line spec arguments for the data profile scan.',
    )
    data_spec_arg.add_argument(
        '--row-filter',
        help='A filter applied to all rows in a single data profile scan job.',
    )
    data_spec_arg.add_argument(
        '--sampling-percent',
        help=(
            'The percentage of the records to be selected from the dataset for'
            ' data profile scan.'
        ),
    )
    data_spec_arg.add_argument(
        '--include-field-names',
        help=(
            'Names of the fields to include in data profile. If not specified,'
            ' all fields at the time of profile scan job execution are'
            ' included. The fields listed in the `--exclude-field-names`'
            ' flag are excluded.'
        ),
    )
    data_spec_arg.add_argument(
        '--exclude-field-names',
        help=(
            'Names of the fields to exclude from data profile. If'
            ' specified, the respective fields will be excluded from data'
            ' profile, regardless of the fields specified in the'
            ' `--include-field-names` flag.'
        ),
    )
    data_spec_arg.add_argument(
        '--export-results-table',
        help=(
            'path to the resource table to export data profile scan results, of'
            ' the form:'
            ' `//bigquery.googleapis.com/projects/{project_number}/datasets/{dataset_id}/tables/{table_id}`.'
            ' The table will be created if not present.'
        ),
    )
    execution_spec = parser.add_group(
        help=(
            'Data profile scan execution settings.'
        )
    )
    execution_spec.add_argument(
        '--incremental-field',
        help=(
            'Field that contains values that monotonically increase over time'
            ' (e.g. timestamp).'
        ),
    )
    trigger = execution_spec.add_group(
        mutex=True, help='Data profile scan scheduling and trigger settings.'
    )
    trigger.add_argument(
        '--on-demand',
        type=bool,
        help=(
            'If set, the scan runs one-time shortly after data profile scan'
            ' creation.'
        ),
    )
    trigger.add_argument(
        '--schedule',
        help=(
            'Cron schedule (https://en.wikipedia.org/wiki/Cron) for running'
            ' scans periodically. To explicitly set a timezone to the cron tab,'
            ' apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or'
            ' "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid'
            ' string from IANA time zone database. For example,'
            ' `CRON_TZ=America/New_York 1 * * * *` or `TZ=America/New_York 1 *'
            ' * * *`. This field is required for RECURRING scans.'
        ),
    )
    async_group = parser.add_group(
        mutex=True,
        required=False,
        help='At most one of --async | --validate-only can be specified.',
    )
    async_group.add_argument(
        '--validate-only',
        action='store_true',
        default=False,
        help="Validate the create action, but don't actually perform it.",
    )
    base.ASYNC_FLAG.AddToParser(async_group)
    labels_util.AddCreateLabelsFlags(parser)

  @gcloud_exception.CatchHTTPErrorRaiseHTTPException(
      'Status code: {status_code}. {status_message}.'
  )
  def Run(self, args):
    datascan_ref = args.CONCEPTS.datascan.Parse()
    setattr(args, 'scan_type', 'PROFILE')
    dataplex_client = dataplex_util.GetClientInstance()
    create_req_op = dataplex_client.projects_locations_dataScans.Create(
        dataplex_util.GetMessageModule().DataplexProjectsLocationsDataScansCreateRequest(
            dataScanId=datascan_ref.Name(),
            parent=datascan_ref.Parent().RelativeName(),
            googleCloudDataplexV1DataScan=datascan.GenerateDatascanForCreateRequest(
                args
            ),
        )
    )

    if getattr(args, 'validate_only', False):
      log.status.Print('Validation completed. Skipping resource creation.')
      return

    async_ = getattr(args, 'async_', False)
    if not async_:
      response = datascan.WaitForOperation(create_req_op)
      log.CreatedResource(
          response.name,
          details=(
              'Data profile scan created in project [{0}] with location [{1}]'
              .format(datascan_ref.projectsId, datascan_ref.locationsId)
          ),
      )
      return response

    log.status.Print(
        'Creating data profile scan with path [{0}] and operation [{1}].'
        .format(datascan_ref, create_req_op.name)
    )
    return create_req_op