// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: google/cloud/vision/v1p4beta1/product_search_service.proto

package com.google.cloud.vision.v1p4beta1;

/**
 *
 *
 * <pre>
 * The Google Cloud Storage location for a csv file which preserves a list of
 * ImportProductSetRequests in each line.
 * </pre>
 *
 * Protobuf type {@code google.cloud.vision.v1p4beta1.ImportProductSetsGcsSource}
 */
public final class ImportProductSetsGcsSource extends com.google.protobuf.GeneratedMessageV3
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  public static final int CSV_FILE_URI_FIELD_NUMBER = 1;
  private volatile java.lang.Object csvFileUri_;
  /**
   *
   *
   * <pre>
   * The Google Cloud Storage URI of the input csv file.
   * The URI must start with `gs://`.
   * The format of the input csv file should be one image per line.
   * In each line, there are 8 columns.
   * 1.  image-uri
   * 2.  image-id
   * 3.  product-set-id
   * 4.  product-id
   * 5.  product-category
   * 6.  product-display-name
   * 7.  labels
   * 8.  bounding-poly
   * The `image-uri`, `product-set-id`, `product-id`, and `product-category`
   * columns are required. All other columns are optional.
   * If the `ProductSet` or `Product` specified by the `product-set-id` and
   * `product-id` values does not exist, then the system will create a new
   * `ProductSet` or `Product` for the image. In this case, the
   * `product-display-name` column refers to
   * [display_name][google.cloud.vision.v1p4beta1.Product.display_name], the
   * `product-category` column refers to
   * [product_category][google.cloud.vision.v1p4beta1.Product.product_category],
   * and the `labels` column refers to
   * [product_labels][google.cloud.vision.v1p4beta1.Product.product_labels].
   * The `image-id` column is optional but must be unique if provided. If it is
   * empty, the system will automatically assign a unique id to the image.
   * The `product-display-name` column is optional. If it is empty, the system
   * sets the [display_name][google.cloud.vision.v1p4beta1.Product.display_name]
   * field for the product to a space (" "). You can update the `display_name`
   * later by using the API.
   * If a `Product` with the specified `product-id` already exists, then the
   * system ignores the `product-display-name`, `product-category`, and `labels`
   * columns.
   * The `labels` column (optional) is a line containing a list of
   * comma-separated key-value pairs, in the following format:
   *     "key_1=value_1,key_2=value_2,...,key_n=value_n"
   * The `bounding-poly` column (optional) identifies one region of
   * interest from the image in the same manner as `CreateReferenceImage`. If
   * you do not specify the `bounding-poly` column, then the system will try to
   * detect regions of interest automatically.
   * At most one `bounding-poly` column is allowed per line. If the image
   * contains multiple regions of interest, add a line to the CSV file that
   * includes the same product information, and the `bounding-poly` values for
   * each region of interest.
   * The `bounding-poly` column must contain an even number of comma-separated
   * numbers, in the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Use
   * non-negative integers for absolute bounding polygons, and float values
   * in [0, 1] for normalized bounding polygons.
   * The system will resize the image if the image resolution is too
   * large to process (larger than 20MP).
   * </pre>
   *
   * <code>string csv_file_uri = 1;</code>
   */
  public java.lang.String getCsvFileUri() {
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      csvFileUri_ = s;
      return s;
    }
  }
  /**
   *
   *
   * <pre>
   * The Google Cloud Storage URI of the input csv file.
   * The URI must start with `gs://`.
   * The format of the input csv file should be one image per line.
   * In each line, there are 8 columns.
   * 1.  image-uri
   * 2.  image-id
   * 3.  product-set-id
   * 4.  product-id
   * 5.  product-category
   * 6.  product-display-name
   * 7.  labels
   * 8.  bounding-poly
   * The `image-uri`, `product-set-id`, `product-id`, and `product-category`
   * columns are required. All other columns are optional.
   * If the `ProductSet` or `Product` specified by the `product-set-id` and
   * `product-id` values does not exist, then the system will create a new
   * `ProductSet` or `Product` for the image. In this case, the
   * `product-display-name` column refers to
   * [display_name][google.cloud.vision.v1p4beta1.Product.display_name], the
   * `product-category` column refers to
   * [product_category][google.cloud.vision.v1p4beta1.Product.product_category],
   * and the `labels` column refers to
   * [product_labels][google.cloud.vision.v1p4beta1.Product.product_labels].
   * The `image-id` column is optional but must be unique if provided. If it is
   * empty, the system will automatically assign a unique id to the image.
   * The `product-display-name` column is optional. If it is empty, the system
   * sets the [display_name][google.cloud.vision.v1p4beta1.Product.display_name]
   * field for the product to a space (" "). You can update the `display_name`
   * later by using the API.
   * If a `Product` with the specified `product-id` already exists, then the
   * system ignores the `product-display-name`, `product-category`, and `labels`
   * columns.
   * The `labels` column (optional) is a line containing a list of
   * comma-separated key-value pairs, in the following format:
   *     "key_1=value_1,key_2=value_2,...,key_n=value_n"
   * The `bounding-poly` column (optional) identifies one region of
   * interest from the image in the same manner as `CreateReferenceImage`. If
   * you do not specify the `bounding-poly` column, then the system will try to
   * detect regions of interest automatically.
   * At most one `bounding-poly` column is allowed per line. If the image
   * contains multiple regions of interest, add a line to the CSV file that
   * includes the same product information, and the `bounding-poly` values for
   * each region of interest.
   * The `bounding-poly` column must contain an even number of comma-separated
   * numbers, in the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Use
   * non-negative integers for absolute bounding polygons, and float values
   * in [0, 1] for normalized bounding polygons.
   * The system will resize the image if the image resolution is too
   * large to process (larger than 20MP).
   * </pre>
   *
   * <code>string csv_file_uri = 1;</code>
   */
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  /**
   *
   *
   * <pre>
   * The Google Cloud Storage location for a csv file which preserves a list of
   * ImportProductSetRequests in each line.
   * </pre>
   *
   * Protobuf type {@code google.cloud.vision.v1p4beta1.ImportProductSetsGcsSource}
   */
  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
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    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
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    private java.lang.Object csvFileUri_ = "";
    /**
     *
     *
     * <pre>
     * The Google Cloud Storage URI of the input csv file.
     * The URI must start with `gs://`.
     * The format of the input csv file should be one image per line.
     * In each line, there are 8 columns.
     * 1.  image-uri
     * 2.  image-id
     * 3.  product-set-id
     * 4.  product-id
     * 5.  product-category
     * 6.  product-display-name
     * 7.  labels
     * 8.  bounding-poly
     * The `image-uri`, `product-set-id`, `product-id`, and `product-category`
     * columns are required. All other columns are optional.
     * If the `ProductSet` or `Product` specified by the `product-set-id` and
     * `product-id` values does not exist, then the system will create a new
     * `ProductSet` or `Product` for the image. In this case, the
     * `product-display-name` column refers to
     * [display_name][google.cloud.vision.v1p4beta1.Product.display_name], the
     * `product-category` column refers to
     * [product_category][google.cloud.vision.v1p4beta1.Product.product_category],
     * and the `labels` column refers to
     * [product_labels][google.cloud.vision.v1p4beta1.Product.product_labels].
     * The `image-id` column is optional but must be unique if provided. If it is
     * empty, the system will automatically assign a unique id to the image.
     * The `product-display-name` column is optional. If it is empty, the system
     * sets the [display_name][google.cloud.vision.v1p4beta1.Product.display_name]
     * field for the product to a space (" "). You can update the `display_name`
     * later by using the API.
     * If a `Product` with the specified `product-id` already exists, then the
     * system ignores the `product-display-name`, `product-category`, and `labels`
     * columns.
     * The `labels` column (optional) is a line containing a list of
     * comma-separated key-value pairs, in the following format:
     *     "key_1=value_1,key_2=value_2,...,key_n=value_n"
     * The `bounding-poly` column (optional) identifies one region of
     * interest from the image in the same manner as `CreateReferenceImage`. If
     * you do not specify the `bounding-poly` column, then the system will try to
     * detect regions of interest automatically.
     * At most one `bounding-poly` column is allowed per line. If the image
     * contains multiple regions of interest, add a line to the CSV file that
     * includes the same product information, and the `bounding-poly` values for
     * each region of interest.
     * The `bounding-poly` column must contain an even number of comma-separated
     * numbers, in the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Use
     * non-negative integers for absolute bounding polygons, and float values
     * in [0, 1] for normalized bounding polygons.
     * The system will resize the image if the image resolution is too
     * large to process (larger than 20MP).
     * </pre>
     *
     * <code>string csv_file_uri = 1;</code>
     */
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    /**
     *
     *
     * <pre>
     * The Google Cloud Storage URI of the input csv file.
     * The URI must start with `gs://`.
     * The format of the input csv file should be one image per line.
     * In each line, there are 8 columns.
     * 1.  image-uri
     * 2.  image-id
     * 3.  product-set-id
     * 4.  product-id
     * 5.  product-category
     * 6.  product-display-name
     * 7.  labels
     * 8.  bounding-poly
     * The `image-uri`, `product-set-id`, `product-id`, and `product-category`
     * columns are required. All other columns are optional.
     * If the `ProductSet` or `Product` specified by the `product-set-id` and
     * `product-id` values does not exist, then the system will create a new
     * `ProductSet` or `Product` for the image. In this case, the
     * `product-display-name` column refers to
     * [display_name][google.cloud.vision.v1p4beta1.Product.display_name], the
     * `product-category` column refers to
     * [product_category][google.cloud.vision.v1p4beta1.Product.product_category],
     * and the `labels` column refers to
     * [product_labels][google.cloud.vision.v1p4beta1.Product.product_labels].
     * The `image-id` column is optional but must be unique if provided. If it is
     * empty, the system will automatically assign a unique id to the image.
     * The `product-display-name` column is optional. If it is empty, the system
     * sets the [display_name][google.cloud.vision.v1p4beta1.Product.display_name]
     * field for the product to a space (" "). You can update the `display_name`
     * later by using the API.
     * If a `Product` with the specified `product-id` already exists, then the
     * system ignores the `product-display-name`, `product-category`, and `labels`
     * columns.
     * The `labels` column (optional) is a line containing a list of
     * comma-separated key-value pairs, in the following format:
     *     "key_1=value_1,key_2=value_2,...,key_n=value_n"
     * The `bounding-poly` column (optional) identifies one region of
     * interest from the image in the same manner as `CreateReferenceImage`. If
     * you do not specify the `bounding-poly` column, then the system will try to
     * detect regions of interest automatically.
     * At most one `bounding-poly` column is allowed per line. If the image
     * contains multiple regions of interest, add a line to the CSV file that
     * includes the same product information, and the `bounding-poly` values for
     * each region of interest.
     * The `bounding-poly` column must contain an even number of comma-separated
     * numbers, in the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Use
     * non-negative integers for absolute bounding polygons, and float values
     * in [0, 1] for normalized bounding polygons.
     * The system will resize the image if the image resolution is too
     * large to process (larger than 20MP).
     * </pre>
     *
     * <code>string csv_file_uri = 1;</code>
     */
    public com.google.protobuf.ByteString getCsvFileUriBytes() {
      java.lang.Object ref = csvFileUri_;
      if (ref instanceof String) {
        com.google.protobuf.ByteString b =
            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
        csvFileUri_ = b;
        return b;
      } else {
        return (com.google.protobuf.ByteString) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * The Google Cloud Storage URI of the input csv file.
     * The URI must start with `gs://`.
     * The format of the input csv file should be one image per line.
     * In each line, there are 8 columns.
     * 1.  image-uri
     * 2.  image-id
     * 3.  product-set-id
     * 4.  product-id
     * 5.  product-category
     * 6.  product-display-name
     * 7.  labels
     * 8.  bounding-poly
     * The `image-uri`, `product-set-id`, `product-id`, and `product-category`
     * columns are required. All other columns are optional.
     * If the `ProductSet` or `Product` specified by the `product-set-id` and
     * `product-id` values does not exist, then the system will create a new
     * `ProductSet` or `Product` for the image. In this case, the
     * `product-display-name` column refers to
     * [display_name][google.cloud.vision.v1p4beta1.Product.display_name], the
     * `product-category` column refers to
     * [product_category][google.cloud.vision.v1p4beta1.Product.product_category],
     * and the `labels` column refers to
     * [product_labels][google.cloud.vision.v1p4beta1.Product.product_labels].
     * The `image-id` column is optional but must be unique if provided. If it is
     * empty, the system will automatically assign a unique id to the image.
     * The `product-display-name` column is optional. If it is empty, the system
     * sets the [display_name][google.cloud.vision.v1p4beta1.Product.display_name]
     * field for the product to a space (" "). You can update the `display_name`
     * later by using the API.
     * If a `Product` with the specified `product-id` already exists, then the
     * system ignores the `product-display-name`, `product-category`, and `labels`
     * columns.
     * The `labels` column (optional) is a line containing a list of
     * comma-separated key-value pairs, in the following format:
     *     "key_1=value_1,key_2=value_2,...,key_n=value_n"
     * The `bounding-poly` column (optional) identifies one region of
     * interest from the image in the same manner as `CreateReferenceImage`. If
     * you do not specify the `bounding-poly` column, then the system will try to
     * detect regions of interest automatically.
     * At most one `bounding-poly` column is allowed per line. If the image
     * contains multiple regions of interest, add a line to the CSV file that
     * includes the same product information, and the `bounding-poly` values for
     * each region of interest.
     * The `bounding-poly` column must contain an even number of comma-separated
     * numbers, in the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Use
     * non-negative integers for absolute bounding polygons, and float values
     * in [0, 1] for normalized bounding polygons.
     * The system will resize the image if the image resolution is too
     * large to process (larger than 20MP).
     * </pre>
     *
     * <code>string csv_file_uri = 1;</code>
     */
    public Builder setCsvFileUri(java.lang.String value) {
      if (value == null) {
        throw new NullPointerException();
      }

      csvFileUri_ = value;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * The Google Cloud Storage URI of the input csv file.
     * The URI must start with `gs://`.
     * The format of the input csv file should be one image per line.
     * In each line, there are 8 columns.
     * 1.  image-uri
     * 2.  image-id
     * 3.  product-set-id
     * 4.  product-id
     * 5.  product-category
     * 6.  product-display-name
     * 7.  labels
     * 8.  bounding-poly
     * The `image-uri`, `product-set-id`, `product-id`, and `product-category`
     * columns are required. All other columns are optional.
     * If the `ProductSet` or `Product` specified by the `product-set-id` and
     * `product-id` values does not exist, then the system will create a new
     * `ProductSet` or `Product` for the image. In this case, the
     * `product-display-name` column refers to
     * [display_name][google.cloud.vision.v1p4beta1.Product.display_name], the
     * `product-category` column refers to
     * [product_category][google.cloud.vision.v1p4beta1.Product.product_category],
     * and the `labels` column refers to
     * [product_labels][google.cloud.vision.v1p4beta1.Product.product_labels].
     * The `image-id` column is optional but must be unique if provided. If it is
     * empty, the system will automatically assign a unique id to the image.
     * The `product-display-name` column is optional. If it is empty, the system
     * sets the [display_name][google.cloud.vision.v1p4beta1.Product.display_name]
     * field for the product to a space (" "). You can update the `display_name`
     * later by using the API.
     * If a `Product` with the specified `product-id` already exists, then the
     * system ignores the `product-display-name`, `product-category`, and `labels`
     * columns.
     * The `labels` column (optional) is a line containing a list of
     * comma-separated key-value pairs, in the following format:
     *     "key_1=value_1,key_2=value_2,...,key_n=value_n"
     * The `bounding-poly` column (optional) identifies one region of
     * interest from the image in the same manner as `CreateReferenceImage`. If
     * you do not specify the `bounding-poly` column, then the system will try to
     * detect regions of interest automatically.
     * At most one `bounding-poly` column is allowed per line. If the image
     * contains multiple regions of interest, add a line to the CSV file that
     * includes the same product information, and the `bounding-poly` values for
     * each region of interest.
     * The `bounding-poly` column must contain an even number of comma-separated
     * numbers, in the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Use
     * non-negative integers for absolute bounding polygons, and float values
     * in [0, 1] for normalized bounding polygons.
     * The system will resize the image if the image resolution is too
     * large to process (larger than 20MP).
     * </pre>
     *
     * <code>string csv_file_uri = 1;</code>
     */
    public Builder clearCsvFileUri() {

      csvFileUri_ = getDefaultInstance().getCsvFileUri();
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * The Google Cloud Storage URI of the input csv file.
     * The URI must start with `gs://`.
     * The format of the input csv file should be one image per line.
     * In each line, there are 8 columns.
     * 1.  image-uri
     * 2.  image-id
     * 3.  product-set-id
     * 4.  product-id
     * 5.  product-category
     * 6.  product-display-name
     * 7.  labels
     * 8.  bounding-poly
     * The `image-uri`, `product-set-id`, `product-id`, and `product-category`
     * columns are required. All other columns are optional.
     * If the `ProductSet` or `Product` specified by the `product-set-id` and
     * `product-id` values does not exist, then the system will create a new
     * `ProductSet` or `Product` for the image. In this case, the
     * `product-display-name` column refers to
     * [display_name][google.cloud.vision.v1p4beta1.Product.display_name], the
     * `product-category` column refers to
     * [product_category][google.cloud.vision.v1p4beta1.Product.product_category],
     * and the `labels` column refers to
     * [product_labels][google.cloud.vision.v1p4beta1.Product.product_labels].
     * The `image-id` column is optional but must be unique if provided. If it is
     * empty, the system will automatically assign a unique id to the image.
     * The `product-display-name` column is optional. If it is empty, the system
     * sets the [display_name][google.cloud.vision.v1p4beta1.Product.display_name]
     * field for the product to a space (" "). You can update the `display_name`
     * later by using the API.
     * If a `Product` with the specified `product-id` already exists, then the
     * system ignores the `product-display-name`, `product-category`, and `labels`
     * columns.
     * The `labels` column (optional) is a line containing a list of
     * comma-separated key-value pairs, in the following format:
     *     "key_1=value_1,key_2=value_2,...,key_n=value_n"
     * The `bounding-poly` column (optional) identifies one region of
     * interest from the image in the same manner as `CreateReferenceImage`. If
     * you do not specify the `bounding-poly` column, then the system will try to
     * detect regions of interest automatically.
     * At most one `bounding-poly` column is allowed per line. If the image
     * contains multiple regions of interest, add a line to the CSV file that
     * includes the same product information, and the `bounding-poly` values for
     * each region of interest.
     * The `bounding-poly` column must contain an even number of comma-separated
     * numbers, in the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Use
     * non-negative integers for absolute bounding polygons, and float values
     * in [0, 1] for normalized bounding polygons.
     * The system will resize the image if the image resolution is too
     * large to process (larger than 20MP).
     * </pre>
     *
     * <code>string csv_file_uri = 1;</code>
     */
    public Builder setCsvFileUriBytes(com.google.protobuf.ByteString value) {
      if (value == null) {
        throw new NullPointerException();
      }
      checkByteStringIsUtf8(value);

      csvFileUri_ = value;
      onChanged();
      return this;
    }

    @java.lang.Override
    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
      return super.setUnknownFieldsProto3(unknownFields);
    }

    @java.lang.Override
    public final Builder mergeUnknownFields(
        final com.google.protobuf.UnknownFieldSet unknownFields) {
      return super.mergeUnknownFields(unknownFields);
    }

    // @@protoc_insertion_point(builder_scope:google.cloud.vision.v1p4beta1.ImportProductSetsGcsSource)
  }

  // @@protoc_insertion_point(class_scope:google.cloud.vision.v1p4beta1.ImportProductSetsGcsSource)
  private static final com.google.cloud.vision.v1p4beta1.ImportProductSetsGcsSource
      DEFAULT_INSTANCE;

  static {
    DEFAULT_INSTANCE = new com.google.cloud.vision.v1p4beta1.ImportProductSetsGcsSource();
  }

  public static com.google.cloud.vision.v1p4beta1.ImportProductSetsGcsSource getDefaultInstance() {
    return DEFAULT_INSTANCE;
  }

  private static final com.google.protobuf.Parser<ImportProductSetsGcsSource> PARSER =
      new com.google.protobuf.AbstractParser<ImportProductSetsGcsSource>() {
        @java.lang.Override
        public ImportProductSetsGcsSource parsePartialFrom(
            com.google.protobuf.CodedInputStream input,
            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws com.google.protobuf.InvalidProtocolBufferException {
          return new ImportProductSetsGcsSource(input, extensionRegistry);
        }
      };

  public static com.google.protobuf.Parser<ImportProductSetsGcsSource> parser() {
    return PARSER;
  }

  @java.lang.Override
  public com.google.protobuf.Parser<ImportProductSetsGcsSource> getParserForType() {
    return PARSER;
  }

  @java.lang.Override
  public com.google.cloud.vision.v1p4beta1.ImportProductSetsGcsSource getDefaultInstanceForType() {
    return DEFAULT_INSTANCE;
  }
}
