// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: google/cloud/vision/v1p3beta1/product_search_service.proto

package com.google.cloud.vision.v1p3beta1;

/**
 *
 *
 * <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.v1p3beta1.ImportProductSetsGcsSource}
 */
public final class ImportProductSetsGcsSource extends com.google.protobuf.GeneratedMessageV3
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  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 6 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
   * Columns 1, 3, 4, and 5 are required, other columns are optional. A new
   * ProductSet/Product with the same id will be created on the fly
   * if the ProductSet/Product specified by product_set_id/product_id does not
   * exist.
   * The image_id field is optional but has to be unique if provided. If it is
   * empty, we will automatically assign an unique id to the image.
   * The product_display_name field is optional. If it is empty, a space (" ")
   * is used as the place holder for the product display_name, which can
   * be updated later through the realtime API.
   * If the Product with product_id already exists, the fields
   * product_display_name, product_category and labels are ignored.
   * If a Product doesn't exist and needs to be created on the fly, the
   * product_display_name field refers to [Product.display_name][google.cloud.vision.v1p3beta1.Product.display_name], the
   * product_category field refers to [Product.product_category][google.cloud.vision.v1p3beta1.Product.product_category], and the
   * labels field refers to [Product.labels][].
   * Labels (optional) should be a line containing a list of comma-separated
   * key-value pairs, with the format
   *     "key_1=value_1,key_2=value_2,...,key_n=value_n".
   * The bounding_poly (optional) field is used to identify one region of
   * interest from the image in the same manner as CreateReferenceImage. If no
   * bounding_poly is specified, the system will try to detect regions of
   * interest automatically.
   * Note that the pipeline will resize the image if the image resolution is too
   * large to process (above 20MP).
   * Also note that at most one bounding_poly is allowed per line. If the image
   * contains multiple regions of interest, the csv should contain one line per
   * region of interest.
   * The bounding_poly column should contain an even number of comma-separated
   * numbers, with the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Nonnegative
   * integers should be used for absolute bounding polygons, and float values
   * in [0, 1] should be used for normalized bounding polygons.
   * </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 6 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
   * Columns 1, 3, 4, and 5 are required, other columns are optional. A new
   * ProductSet/Product with the same id will be created on the fly
   * if the ProductSet/Product specified by product_set_id/product_id does not
   * exist.
   * The image_id field is optional but has to be unique if provided. If it is
   * empty, we will automatically assign an unique id to the image.
   * The product_display_name field is optional. If it is empty, a space (" ")
   * is used as the place holder for the product display_name, which can
   * be updated later through the realtime API.
   * If the Product with product_id already exists, the fields
   * product_display_name, product_category and labels are ignored.
   * If a Product doesn't exist and needs to be created on the fly, the
   * product_display_name field refers to [Product.display_name][google.cloud.vision.v1p3beta1.Product.display_name], the
   * product_category field refers to [Product.product_category][google.cloud.vision.v1p3beta1.Product.product_category], and the
   * labels field refers to [Product.labels][].
   * Labels (optional) should be a line containing a list of comma-separated
   * key-value pairs, with the format
   *     "key_1=value_1,key_2=value_2,...,key_n=value_n".
   * The bounding_poly (optional) field is used to identify one region of
   * interest from the image in the same manner as CreateReferenceImage. If no
   * bounding_poly is specified, the system will try to detect regions of
   * interest automatically.
   * Note that the pipeline will resize the image if the image resolution is too
   * large to process (above 20MP).
   * Also note that at most one bounding_poly is allowed per line. If the image
   * contains multiple regions of interest, the csv should contain one line per
   * region of interest.
   * The bounding_poly column should contain an even number of comma-separated
   * numbers, with the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Nonnegative
   * integers should be used for absolute bounding polygons, and float values
   * in [0, 1] should be used for normalized bounding polygons.
   * </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.v1p3beta1.ImportProductSetsGcsSource}
   */
  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
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      // @@protoc_insertion_point(builder_implements:google.cloud.vision.v1p3beta1.ImportProductSetsGcsSource)
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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 6 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
     * Columns 1, 3, 4, and 5 are required, other columns are optional. A new
     * ProductSet/Product with the same id will be created on the fly
     * if the ProductSet/Product specified by product_set_id/product_id does not
     * exist.
     * The image_id field is optional but has to be unique if provided. If it is
     * empty, we will automatically assign an unique id to the image.
     * The product_display_name field is optional. If it is empty, a space (" ")
     * is used as the place holder for the product display_name, which can
     * be updated later through the realtime API.
     * If the Product with product_id already exists, the fields
     * product_display_name, product_category and labels are ignored.
     * If a Product doesn't exist and needs to be created on the fly, the
     * product_display_name field refers to [Product.display_name][google.cloud.vision.v1p3beta1.Product.display_name], the
     * product_category field refers to [Product.product_category][google.cloud.vision.v1p3beta1.Product.product_category], and the
     * labels field refers to [Product.labels][].
     * Labels (optional) should be a line containing a list of comma-separated
     * key-value pairs, with the format
     *     "key_1=value_1,key_2=value_2,...,key_n=value_n".
     * The bounding_poly (optional) field is used to identify one region of
     * interest from the image in the same manner as CreateReferenceImage. If no
     * bounding_poly is specified, the system will try to detect regions of
     * interest automatically.
     * Note that the pipeline will resize the image if the image resolution is too
     * large to process (above 20MP).
     * Also note that at most one bounding_poly is allowed per line. If the image
     * contains multiple regions of interest, the csv should contain one line per
     * region of interest.
     * The bounding_poly column should contain an even number of comma-separated
     * numbers, with the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Nonnegative
     * integers should be used for absolute bounding polygons, and float values
     * in [0, 1] should be used for normalized bounding polygons.
     * </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 6 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
     * Columns 1, 3, 4, and 5 are required, other columns are optional. A new
     * ProductSet/Product with the same id will be created on the fly
     * if the ProductSet/Product specified by product_set_id/product_id does not
     * exist.
     * The image_id field is optional but has to be unique if provided. If it is
     * empty, we will automatically assign an unique id to the image.
     * The product_display_name field is optional. If it is empty, a space (" ")
     * is used as the place holder for the product display_name, which can
     * be updated later through the realtime API.
     * If the Product with product_id already exists, the fields
     * product_display_name, product_category and labels are ignored.
     * If a Product doesn't exist and needs to be created on the fly, the
     * product_display_name field refers to [Product.display_name][google.cloud.vision.v1p3beta1.Product.display_name], the
     * product_category field refers to [Product.product_category][google.cloud.vision.v1p3beta1.Product.product_category], and the
     * labels field refers to [Product.labels][].
     * Labels (optional) should be a line containing a list of comma-separated
     * key-value pairs, with the format
     *     "key_1=value_1,key_2=value_2,...,key_n=value_n".
     * The bounding_poly (optional) field is used to identify one region of
     * interest from the image in the same manner as CreateReferenceImage. If no
     * bounding_poly is specified, the system will try to detect regions of
     * interest automatically.
     * Note that the pipeline will resize the image if the image resolution is too
     * large to process (above 20MP).
     * Also note that at most one bounding_poly is allowed per line. If the image
     * contains multiple regions of interest, the csv should contain one line per
     * region of interest.
     * The bounding_poly column should contain an even number of comma-separated
     * numbers, with the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Nonnegative
     * integers should be used for absolute bounding polygons, and float values
     * in [0, 1] should be used for normalized bounding polygons.
     * </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 6 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
     * Columns 1, 3, 4, and 5 are required, other columns are optional. A new
     * ProductSet/Product with the same id will be created on the fly
     * if the ProductSet/Product specified by product_set_id/product_id does not
     * exist.
     * The image_id field is optional but has to be unique if provided. If it is
     * empty, we will automatically assign an unique id to the image.
     * The product_display_name field is optional. If it is empty, a space (" ")
     * is used as the place holder for the product display_name, which can
     * be updated later through the realtime API.
     * If the Product with product_id already exists, the fields
     * product_display_name, product_category and labels are ignored.
     * If a Product doesn't exist and needs to be created on the fly, the
     * product_display_name field refers to [Product.display_name][google.cloud.vision.v1p3beta1.Product.display_name], the
     * product_category field refers to [Product.product_category][google.cloud.vision.v1p3beta1.Product.product_category], and the
     * labels field refers to [Product.labels][].
     * Labels (optional) should be a line containing a list of comma-separated
     * key-value pairs, with the format
     *     "key_1=value_1,key_2=value_2,...,key_n=value_n".
     * The bounding_poly (optional) field is used to identify one region of
     * interest from the image in the same manner as CreateReferenceImage. If no
     * bounding_poly is specified, the system will try to detect regions of
     * interest automatically.
     * Note that the pipeline will resize the image if the image resolution is too
     * large to process (above 20MP).
     * Also note that at most one bounding_poly is allowed per line. If the image
     * contains multiple regions of interest, the csv should contain one line per
     * region of interest.
     * The bounding_poly column should contain an even number of comma-separated
     * numbers, with the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Nonnegative
     * integers should be used for absolute bounding polygons, and float values
     * in [0, 1] should be used for normalized bounding polygons.
     * </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 6 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
     * Columns 1, 3, 4, and 5 are required, other columns are optional. A new
     * ProductSet/Product with the same id will be created on the fly
     * if the ProductSet/Product specified by product_set_id/product_id does not
     * exist.
     * The image_id field is optional but has to be unique if provided. If it is
     * empty, we will automatically assign an unique id to the image.
     * The product_display_name field is optional. If it is empty, a space (" ")
     * is used as the place holder for the product display_name, which can
     * be updated later through the realtime API.
     * If the Product with product_id already exists, the fields
     * product_display_name, product_category and labels are ignored.
     * If a Product doesn't exist and needs to be created on the fly, the
     * product_display_name field refers to [Product.display_name][google.cloud.vision.v1p3beta1.Product.display_name], the
     * product_category field refers to [Product.product_category][google.cloud.vision.v1p3beta1.Product.product_category], and the
     * labels field refers to [Product.labels][].
     * Labels (optional) should be a line containing a list of comma-separated
     * key-value pairs, with the format
     *     "key_1=value_1,key_2=value_2,...,key_n=value_n".
     * The bounding_poly (optional) field is used to identify one region of
     * interest from the image in the same manner as CreateReferenceImage. If no
     * bounding_poly is specified, the system will try to detect regions of
     * interest automatically.
     * Note that the pipeline will resize the image if the image resolution is too
     * large to process (above 20MP).
     * Also note that at most one bounding_poly is allowed per line. If the image
     * contains multiple regions of interest, the csv should contain one line per
     * region of interest.
     * The bounding_poly column should contain an even number of comma-separated
     * numbers, with the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Nonnegative
     * integers should be used for absolute bounding polygons, and float values
     * in [0, 1] should be used for normalized bounding polygons.
     * </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 6 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
     * Columns 1, 3, 4, and 5 are required, other columns are optional. A new
     * ProductSet/Product with the same id will be created on the fly
     * if the ProductSet/Product specified by product_set_id/product_id does not
     * exist.
     * The image_id field is optional but has to be unique if provided. If it is
     * empty, we will automatically assign an unique id to the image.
     * The product_display_name field is optional. If it is empty, a space (" ")
     * is used as the place holder for the product display_name, which can
     * be updated later through the realtime API.
     * If the Product with product_id already exists, the fields
     * product_display_name, product_category and labels are ignored.
     * If a Product doesn't exist and needs to be created on the fly, the
     * product_display_name field refers to [Product.display_name][google.cloud.vision.v1p3beta1.Product.display_name], the
     * product_category field refers to [Product.product_category][google.cloud.vision.v1p3beta1.Product.product_category], and the
     * labels field refers to [Product.labels][].
     * Labels (optional) should be a line containing a list of comma-separated
     * key-value pairs, with the format
     *     "key_1=value_1,key_2=value_2,...,key_n=value_n".
     * The bounding_poly (optional) field is used to identify one region of
     * interest from the image in the same manner as CreateReferenceImage. If no
     * bounding_poly is specified, the system will try to detect regions of
     * interest automatically.
     * Note that the pipeline will resize the image if the image resolution is too
     * large to process (above 20MP).
     * Also note that at most one bounding_poly is allowed per line. If the image
     * contains multiple regions of interest, the csv should contain one line per
     * region of interest.
     * The bounding_poly column should contain an even number of comma-separated
     * numbers, with the format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Nonnegative
     * integers should be used for absolute bounding polygons, and float values
     * in [0, 1] should be used for normalized bounding polygons.
     * </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.v1p3beta1.ImportProductSetsGcsSource)
  }

  // @@protoc_insertion_point(class_scope:google.cloud.vision.v1p3beta1.ImportProductSetsGcsSource)
  private static final com.google.cloud.vision.v1p3beta1.ImportProductSetsGcsSource
      DEFAULT_INSTANCE;

  static {
    DEFAULT_INSTANCE = new com.google.cloud.vision.v1p3beta1.ImportProductSetsGcsSource();
  }

  public static com.google.cloud.vision.v1p3beta1.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.v1p3beta1.ImportProductSetsGcsSource getDefaultInstanceForType() {
    return DEFAULT_INSTANCE;
  }
}
