Anleitung für die Nutzung der Produktsuche

import (
	"context"
	"fmt"
	"io"

	vision "cloud.google.com/go/vision/apiv1"
	"cloud.google.com/go/vision/v2/apiv1/visionpb"
)

import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.vision.v1.BatchOperationMetadata;
import com.google.cloud.vision.v1.ImportProductSetsGcsSource;
import com.google.cloud.vision.v1.ImportProductSetsGcsSource.Builder;
import com.google.cloud.vision.v1.ImportProductSetsInputConfig;
import com.google.cloud.vision.v1.ImportProductSetsResponse;
import com.google.cloud.vision.v1.LocationName;
import com.google.cloud.vision.v1.ProductSearchClient;
import com.google.cloud.vision.v1.ReferenceImage;
import java.io.PrintStream;
import javax.swing.JPanel;
import net.sourceforge.argparse4j.ArgumentParsers;
import net.sourceforge.argparse4j.inf.ArgumentParser;
import net.sourceforge.argparse4j.inf.ArgumentParserException;
import net.sourceforge.argparse4j.inf.Namespace;
import net.sourceforge.argparse4j.inf.Subparser;
import net.sourceforge.argparse4j.inf.Subparsers;

const vision = require('@google-cloud/vision');

from google.cloud import vision

import (
	"context"
	"fmt"
	"io"

	vision "cloud.google.com/go/vision/apiv1"
	"cloud.google.com/go/vision/v2/apiv1/visionpb"
)

// createProductSet creates a product set.
func createProductSet(w io.Writer, projectID string, location string, productSetID string, productSetDisplayName string) error {
	ctx := context.Background()
	c, err := vision.NewProductSearchClient(ctx)
	if err != nil {
		return fmt.Errorf("NewProductSearchClient: %w", err)
	}
	defer c.Close()

	req := &visionpb.CreateProductSetRequest{
		Parent:       fmt.Sprintf("projects/%s/locations/%s", projectID, location),
		ProductSetId: productSetID,
		ProductSet: &visionpb.ProductSet{
			DisplayName: productSetDisplayName,
		},
	}

	resp, err := c.CreateProductSet(ctx, req)
	if err != nil {
		return fmt.Errorf("CreateProductSet: %w", err)
	}

	fmt.Fprintf(w, "Product set name: %s\n", resp.Name)

	return nil
}

/**
 * Create a product set
 *
 * @param projectId - Id of the project.
 * @param computeRegion - Region name.
 * @param productSetId - Id of the product set.
 * @param productSetDisplayName - Display name of the product set.
 * @throws IOException - on I/O errors.
 */
public static void createProductSet(
    String projectId, String computeRegion, String productSetId, String productSetDisplayName)
    throws IOException {
  try (ProductSearchClient client = ProductSearchClient.create()) {

    // A resource that represents Google Cloud Platform location.
    String formattedParent = LocationName.format(projectId, computeRegion);

    // Create a product set with the product set specification in the region.
    ProductSet myProductSet =
        ProductSet.newBuilder().setDisplayName(productSetDisplayName).build();
    CreateProductSetRequest request =
        CreateProductSetRequest.newBuilder()
            .setParent(formattedParent)
            .setProductSet(myProductSet)
            .setProductSetId(productSetId)
            .build();
    ProductSet productSet = client.createProductSet(request);
    // Display the product set information
    System.out.println(String.format("Product set name: %s", productSet.getName()));
  }
}

// Imports the Google Cloud client library
const vision = require('@google-cloud/vision');

// Creates a client
const client = new vision.ProductSearchClient();

async function createProductSet() {
  /**
   * TODO(developer): Uncomment the following line before running the sample.
   */
  // const projectId = 'Your Google Cloud project Id';
  // const location = 'A compute region name';
  // const productSetId = 'Id of the product set';
  // const productSetDisplayName = 'Display name of the product set';

  // Resource path that represents Google Cloud Platform location.
  const locationPath = client.locationPath(projectId, location);

  const productSet = {
    displayName: productSetDisplayName,
  };

  const request = {
    parent: locationPath,
    productSet: productSet,
    productSetId: productSetId,
  };

  const [createdProductSet] = await client.createProductSet(request);
  console.log(`Product Set name: ${createdProductSet.name}`);
}
createProductSet();

from google.cloud import vision

def create_product_set(project_id, location, product_set_id, product_set_display_name):
    """Create a product set.
    Args:
        project_id: Id of the project.
        location: A compute region name.
        product_set_id: Id of the product set.
        product_set_display_name: Display name of the product set.
    """
    client = vision.ProductSearchClient()

    # A resource that represents Google Cloud Platform location.
    location_path = f"projects/{project_id}/locations/{location}"

    # Create a product set with the product set specification in the region.
    product_set = vision.ProductSet(display_name=product_set_display_name)

    # The response is the product set with `name` populated.
    response = client.create_product_set(
        parent=location_path, product_set=product_set, product_set_id=product_set_id
    )

    # Display the product set information.
    print(f"Product set name: {response.name}")

import (
	"context"
	"fmt"
	"io"

	vision "cloud.google.com/go/vision/apiv1"
	"cloud.google.com/go/vision/v2/apiv1/visionpb"
)

// createProduct creates a product.
func createProduct(w io.Writer, projectID string, location string, productID string, productDisplayName string, productCategory string) error {
	ctx := context.Background()
	c, err := vision.NewProductSearchClient(ctx)
	if err != nil {
		return fmt.Errorf("NewProductSearchClient: %w", err)
	}
	defer c.Close()

	req := &visionpb.CreateProductRequest{
		Parent:    fmt.Sprintf("projects/%s/locations/%s", projectID, location),
		ProductId: productID,
		Product: &visionpb.Product{
			DisplayName:     productDisplayName,
			ProductCategory: productCategory,
		},
	}

	resp, err := c.CreateProduct(ctx, req)
	if err != nil {
		return fmt.Errorf("CreateProduct: %w", err)
	}

	fmt.Fprintf(w, "Product name: %s\n", resp.Name)

	return nil
}

/**
 * Create one product.
 *
 * @param projectId - Id of the project.
 * @param computeRegion - Region name.
 * @param productId - Id of the product.
 * @param productDisplayName - Display name of the product.
 * @param productCategory - Category of the product.
 * @throws IOException - on I/O errors.
 */
public static void createProduct(
    String projectId,
    String computeRegion,
    String productId,
    String productDisplayName,
    String productCategory)
    throws IOException {
  try (ProductSearchClient client = ProductSearchClient.create()) {

    // A resource that represents Google Cloud Platform location.
    String formattedParent = LocationName.format(projectId, computeRegion);
    // Create a product with the product specification in the region.
    // Multiple labels are also supported.
    Product myProduct =
        Product.newBuilder()
            .setName(productId)
            .setDisplayName(productDisplayName)
            .setProductCategory(productCategory)
            .build();
    Product product = client.createProduct(formattedParent, myProduct, productId);
    // Display the product information
    System.out.println(String.format("Product name: %s", product.getName()));
  }
}

// Imports the Google Cloud client library
const vision = require('@google-cloud/vision');

// Creates a client
const client = new vision.ProductSearchClient();
async function createProduct() {
  /**
   * TODO(developer): Uncomment the following line before running the sample.
   */
  // const projectId = 'Your Google Cloud project Id';
  // const location = 'A compute region name';
  // const productId = 'Id of the product';
  // const productDisplayName = 'Display name of the product';
  // const productCategory = 'Catoegory of the product';

  // Resource path that represents Google Cloud Platform location.
  const locationPath = client.locationPath(projectId, location);

  const product = {
    displayName: productDisplayName,
    productCategory: productCategory,
  };

  const request = {
    parent: locationPath,
    product: product,
    productId: productId,
  };

  const [createdProduct] = await client.createProduct(request);
  console.log(`Product name: ${createdProduct.name}`);
}
createProduct();

from google.cloud import vision
from google.protobuf import field_mask_pb2 as field_mask

def create_product(
    project_id, location, product_id, product_display_name, product_category
):
    """Create one product.
    Args:
        project_id: Id of the project.
        location: A compute region name.
        product_id: Id of the product.
        product_display_name: Display name of the product.
        product_category: Category of the product.
    """
    client = vision.ProductSearchClient()

    # A resource that represents Google Cloud Platform location.
    location_path = f"projects/{project_id}/locations/{location}"

    # Create a product with the product specification in the region.
    # Set product display name and product category.
    product = vision.Product(
        display_name=product_display_name, product_category=product_category
    )

    # The response is the product with the `name` field populated.
    response = client.create_product(
        parent=location_path, product=product, product_id=product_id
    )

    # Display the product information.
    print(f"Product name: {response.name}")

import (
	"context"
	"fmt"
	"io"

	vision "cloud.google.com/go/vision/apiv1"
	"cloud.google.com/go/vision/v2/apiv1/visionpb"
)

// addProductToProductSet adds a product to a product set.
func addProductToProductSet(w io.Writer, projectID string, location string, productID string, productSetID string) error {
	ctx := context.Background()
	c, err := vision.NewProductSearchClient(ctx)
	if err != nil {
		return fmt.Errorf("NewProductSearchClient: %w", err)
	}
	defer c.Close()

	req := &visionpb.AddProductToProductSetRequest{
		Name:    fmt.Sprintf("projects/%s/locations/%s/productSets/%s", projectID, location, productSetID),
		Product: fmt.Sprintf("projects/%s/locations/%s/products/%s", projectID, location, productID),
	}

	if err = c.AddProductToProductSet(ctx, req); err != nil {
		return fmt.Errorf("NewProductSearchClient: %w", err)
	}

	fmt.Fprintf(w, "Product added to product set.\n")

	return nil
}

/**
 * Add a product to a product set.
 *
 * @param projectId - Id of the project.
 * @param computeRegion - Region name.
 * @param productId - Id of the product.
 * @param productSetId - Id of the product set.
 * @throws IOException - on I/O errors.
 */
public static void addProductToProductSet(
    String projectId, String computeRegion, String productId, String productSetId)
    throws IOException {
  try (ProductSearchClient client = ProductSearchClient.create()) {

    // Get the full path of the product set.
    String formattedName = ProductSetName.format(projectId, computeRegion, productSetId);

    // Get the full path of the product.
    String productPath = ProductName.of(projectId, computeRegion, productId).toString();

    // Add the product to the product set.
    client.addProductToProductSet(formattedName, productPath);

    System.out.println(String.format("Product added to product set."));
  }
}

const vision = require('@google-cloud/vision');
const client = new vision.ProductSearchClient();

async function addProductToProductSet() {
  /**
   * TODO(developer): Uncomment the following line before running the sample.
   */
  // const projectId = 'Your Google Cloud project Id';
  // const location = 'A compute region name';
  // const productId = 'Id of the product';
  // const productSetId = 'Id of the product set';

  const productPath = client.productPath(projectId, location, productId);
  const productSetPath = client.productSetPath(
    projectId,
    location,
    productSetId
  );

  const request = {
    name: productSetPath,
    product: productPath,
  };

  await client.addProductToProductSet(request);
  console.log('Product added to product set.');
}
addProductToProductSet();

from google.cloud import vision

def add_product_to_product_set(project_id, location, product_id, product_set_id):
    """Add a product to a product set.
    Args:
        project_id: Id of the project.
        location: A compute region name.
        product_id: Id of the product.
        product_set_id: Id of the product set.
    """
    client = vision.ProductSearchClient()

    # Get the full path of the product set.
    product_set_path = client.product_set_path(
        project=project_id, location=location, product_set=product_set_id
    )

    # Get the full path of the product.
    product_path = client.product_path(
        project=project_id, location=location, product=product_id
    )

    # Add the product to the product set.
    client.add_product_to_product_set(name=product_set_path, product=product_path)
    print("Product added to product set.")

import (
	"context"
	"fmt"
	"io"

	vision "cloud.google.com/go/vision/apiv1"
	"cloud.google.com/go/vision/v2/apiv1/visionpb"
	field_mask "google.golang.org/genproto/protobuf/field_mask"
)

// updateProductLabels updates product labels of a product.
func updateProductLabels(w io.Writer, projectID string, location string, productID string, key string, value string) error {
	ctx := context.Background()
	c, err := vision.NewProductSearchClient(ctx)
	if err != nil {
		return fmt.Errorf("NewProductSearchClient: %w", err)
	}
	defer c.Close()

	req := &visionpb.UpdateProductRequest{
		UpdateMask: &field_mask.FieldMask{
			Paths: []string{
				"product_labels",
			},
		},
		Product: &visionpb.Product{
			Name: fmt.Sprintf("projects/%s/locations/%s/products/%s", projectID, location, productID),
			ProductLabels: []*visionpb.Product_KeyValue{
				{
					Key:   key,
					Value: value,
				},
			},
		},
	}

	resp, err := c.UpdateProduct(ctx, req)
	if err != nil {
		return fmt.Errorf("UpdateProduct: %w", err)
	}

	fmt.Fprintf(w, "Product name: %s\n", resp.Name)
	fmt.Fprintf(w, "Updated product labels: %s\n", resp.ProductLabels)

	return nil
}

/**
 * Update the product labels.
 *
 * @param projectId - Id of the project.
 * @param computeRegion - Region name.
 * @param productId -Id of the product.
 * @param productLabels - Labels of the product.
 * @throws IOException - on I/O errors.
 */
public static void updateProductLabels(
    String projectId, String computeRegion, String productId, String productLabels)
    throws IOException {
  try (ProductSearchClient client = ProductSearchClient.create()) {

    // Get the full path of the product.
    String formattedName = ProductName.format(projectId, computeRegion, productId);

    // Set product name, product labels and product display name.
    // Multiple labels are also supported.
    Product product =
        Product.newBuilder()
            .setName(formattedName)
            .addProductLabels(
                KeyValue.newBuilder()
                    .setKey(productLabels.split(",")[0].split("=")[0])
                    .setValue(productLabels.split(",")[0].split("=")[1])
                    .build())
            .build();

    // Set product update field name.
    FieldMask updateMask = FieldMask.newBuilder().addPaths("product_labels").build();

    // Update the product.
    Product updatedProduct = client.updateProduct(product, updateMask);
    // Display the product information
    System.out.println(String.format("Product name: %s", updatedProduct.getName()));
    System.out.println(String.format("Updated product labels: "));
    for (Product.KeyValue element : updatedProduct.getProductLabelsList()) {
      System.out.println(String.format("%s: %s", element.getKey(), element.getValue()));
    }
  }
}

// Imports the Google Cloud client library
const vision = require('@google-cloud/vision');

// Creates a client
const client = new vision.ProductSearchClient();

async function updateProductLabels() {
  /**
   * TODO(developer): Uncomment the following line before running the sample.
   */
  // const projectId = 'Your Google Cloud project Id';
  // const location = 'A compute region name';
  // const productId = 'Id of the product';
  // const key = 'The key of the label';
  // const value = 'The value of the label';

  // Resource path that represents full path to the product.
  const productPath = client.productPath(projectId, location, productId);

  const product = {
    name: productPath,
    productLabels: [
      {
        key: key,
        value: value,
      },
    ],
  };

  const updateMask = {
    paths: ['product_labels'],
  };

  const request = {
    product: product,
    updateMask: updateMask,
  };

  const [updatedProduct] = await client.updateProduct(request);
  console.log(`Product name: ${updatedProduct.name}`);
  console.log(`Product display name: ${updatedProduct.displayName}`);
  console.log(`Product description: ${updatedProduct.description}`);
  console.log(`Product category: ${updatedProduct.productCategory}`);
  console.log(
    `Product Labels: ${updatedProduct.productLabels[0].key}: ${updatedProduct.productLabels[0].value}`
  );
}
updateProductLabels();

from google.cloud import vision
from google.protobuf import field_mask_pb2 as field_mask

def update_product_labels(project_id, location, product_id, key, value):
    """Update the product labels.
    Args:
        project_id: Id of the project.
        location: A compute region name.
        product_id: Id of the product.
        key: The key of the label.
        value: The value of the label.
    """
    client = vision.ProductSearchClient()

    # Get the name of the product.
    product_path = client.product_path(
        project=project_id, location=location, product=product_id
    )

    # Set product name, product label and product display name.
    # Multiple labels are also supported.
    key_value = vision.Product.KeyValue(key=key, value=value)
    product = vision.Product(name=product_path, product_labels=[key_value])

    # Updating only the product_labels field here.
    update_mask = field_mask.FieldMask(paths=["product_labels"])

    # This overwrites the product_labels.
    updated_product = client.update_product(product=product, update_mask=update_mask)

    # Display the updated product information.
    print(f"Product name: {updated_product.name}")
    print(f"Updated product labels: {product.product_labels}")

import (
	"context"
	"fmt"
	"io"

	vision "cloud.google.com/go/vision/apiv1"
	"cloud.google.com/go/vision/v2/apiv1/visionpb"
)

// createReferenceImage creates a reference image for a product.
func createReferenceImage(w io.Writer, projectID string, location string, productID string, referenceImageID string, gcsURI string) error {
	ctx := context.Background()
	c, err := vision.NewProductSearchClient(ctx)
	if err != nil {
		return fmt.Errorf("NewProductSearchClient: %w", err)
	}
	defer c.Close()

	req := &visionpb.CreateReferenceImageRequest{
		Parent: fmt.Sprintf("projects/%s/locations/%s/products/%s", projectID, location, productID),
		ReferenceImage: &visionpb.ReferenceImage{
			Uri: gcsURI,
		},
		ReferenceImageId: referenceImageID,
	}

	resp, err := c.CreateReferenceImage(ctx, req)
	if err != nil {
		return fmt.Errorf("CreateReferenceImage: %w", err)
	}

	fmt.Fprintf(w, "Reference image name: %s\n", resp.Name)
	fmt.Fprintf(w, "Reference image uri: %s\n", resp.Uri)

	return nil
}

/**
 * Create a reference image.
 *
 * @param projectId - Id of the project.
 * @param computeRegion - Region name.
 * @param productId - Id of the product.
 * @param referenceImageId - Id of the image.
 * @param gcsUri - Google Cloud Storage path of the input image.
 * @throws IOException - on I/O errors.
 */
public static void createReferenceImage(
    String projectId,
    String computeRegion,
    String productId,
    String referenceImageId,
    String gcsUri)
    throws IOException {
  try (ProductSearchClient client = ProductSearchClient.create()) {

    // Get the full path of the product.
    String formattedParent = ProductName.format(projectId, computeRegion, productId);
    // Create a reference image.
    ReferenceImage referenceImage = ReferenceImage.newBuilder().setUri(gcsUri).build();

    ReferenceImage image =
        client.createReferenceImage(formattedParent, referenceImage, referenceImageId);
    // Display the reference image information.
    System.out.println(String.format("Reference image name: %s", image.getName()));
    System.out.println(String.format("Reference image uri: %s", image.getUri()));
  }
}

const vision = require('@google-cloud/vision');

const client = new vision.ProductSearchClient();

async function createReferenceImage() {
  /**
   * TODO(developer): Uncomment the following line before running the sample.
   */
  // const projectId = 'Your Google Cloud project Id';
  // const location = 'A compute region name';
  // const productId = 'Id of the product';
  // const referenceImageId = 'Id of the reference image';
  // const gcsUri = 'Google Cloud Storage path of the input image';

  const formattedParent = client.productPath(projectId, location, productId);

  const referenceImage = {
    uri: gcsUri,
  };

  const request = {
    parent: formattedParent,
    referenceImage: referenceImage,
    referenceImageId: referenceImageId,
  };

  const [response] = await client.createReferenceImage(request);
  console.log(`response.name: ${response.name}`);
  console.log(`response.uri: ${response.uri}`);
}
createReferenceImage();

from google.cloud import vision

def create_reference_image(
    project_id, location, product_id, reference_image_id, gcs_uri
):
    """Create a reference image.
    Args:
        project_id: Id of the project.
        location: A compute region name.
        product_id: Id of the product.
        reference_image_id: Id of the reference image.
        gcs_uri: Google Cloud Storage path of the input image.
    """
    client = vision.ProductSearchClient()

    # Get the full path of the product.
    product_path = client.product_path(
        project=project_id, location=location, product=product_id
    )

    # Create a reference image.
    reference_image = vision.ReferenceImage(uri=gcs_uri)

    # The response is the reference image with `name` populated.
    image = client.create_reference_image(
        parent=product_path,
        reference_image=reference_image,
        reference_image_id=reference_image_id,
    )

    # Display the reference image information.
    print(f"Reference image name: {image.name}")
    print(f"Reference image uri: {image.uri}")

import (
	"context"
	"fmt"
	"io"
	"os"

	vision "cloud.google.com/go/vision/apiv1"
	"cloud.google.com/go/vision/v2/apiv1/visionpb"
)

// getSimilarProducts searches for products from a product set similar to products in an image file.
func getSimilarProducts(w io.Writer, projectID string, location string, productSetID string, productCategory string, file string, filter string) error {
	ctx := context.Background()
	c, err := vision.NewImageAnnotatorClient(ctx)
	if err != nil {
		return fmt.Errorf("NewImageAnnotatorClient: %w", err)
	}
	defer c.Close()

	f, err := os.Open(file)
	if err != nil {
		return fmt.Errorf("Open: %w", err)
	}
	defer f.Close()

	image, err := vision.NewImageFromReader(f)
	if err != nil {
		return fmt.Errorf("NewImageFromReader: %w", err)
	}

	ictx := &visionpb.ImageContext{
		ProductSearchParams: &visionpb.ProductSearchParams{
			ProductSet:        fmt.Sprintf("projects/%s/locations/%s/productSets/%s", projectID, location, productSetID),
			ProductCategories: []string{productCategory},
			Filter:            filter,
		},
	}

	response, err := c.ProductSearch(ctx, image, ictx)
	if err != nil {
		return fmt.Errorf("ProductSearch: %w", err)
	}

	fmt.Fprintf(w, "Product set index time:\n")
	fmt.Fprintf(w, "seconds: %d\n", response.IndexTime.Seconds)
	fmt.Fprintf(w, "nanos: %d\n", response.IndexTime.Nanos)

	fmt.Fprintf(w, "Search results:\n")
	for _, result := range response.Results {
		fmt.Fprintf(w, "Score(Confidence): %f\n", result.Score)
		fmt.Fprintf(w, "Image name: %s\n", result.Image)

		fmt.Fprintf(w, "Prodcut name: %s\n", result.Product.Name)
		fmt.Fprintf(w, "Product display name: %s\n", result.Product.DisplayName)
		fmt.Fprintf(w, "Product labels: %s\n", result.Product.ProductLabels)
	}

	return nil
}

/**
 * Search similar products to image in local file.
 *
 * @param projectId - Id of the project.
 * @param computeRegion - Region name.
 * @param productSetId - Id of the product set.
 * @param productCategory - Category of the product.
 * @param filePath - Local file path of the image to be searched
 * @param filter - Condition to be applied on the labels. Example for filter: (color = red OR
 *     color = blue) AND style = kids It will search on all products with the following labels:
 *     color:red AND style:kids color:blue AND style:kids
 * @throws IOException - on I/O errors.
 */
public static void getSimilarProductsFile(
    String projectId,
    String computeRegion,
    String productSetId,
    String productCategory,
    String filePath,
    String filter)
    throws IOException {
  try (ImageAnnotatorClient queryImageClient = ImageAnnotatorClient.create()) {

    // Get the full path of the product set.
    String productSetPath = ProductSetName.format(projectId, computeRegion, productSetId);

    // Read the image as a stream of bytes.
    File imgPath = new File(filePath);
    byte[] content = Files.readAllBytes(imgPath.toPath());

    // Create annotate image request along with product search feature.
    Feature featuresElement = Feature.newBuilder().setType(Type.PRODUCT_SEARCH).build();
    // The input image can be a HTTPS link or Raw image bytes.
    // Example:
    // To use HTTP link replace with below code
    //  ImageSource source = ImageSource.newBuilder().setImageUri(imageUri).build();
    //  Image image = Image.newBuilder().setSource(source).build();
    Image image = Image.newBuilder().setContent(ByteString.copyFrom(content)).build();
    ImageContext imageContext =
        ImageContext.newBuilder()
            .setProductSearchParams(
                ProductSearchParams.newBuilder()
                    .setProductSet(productSetPath)
                    .addProductCategories(productCategory)
                    .setFilter(filter))
            .build();

    AnnotateImageRequest annotateImageRequest =
        AnnotateImageRequest.newBuilder()
            .addFeatures(featuresElement)
            .setImage(image)
            .setImageContext(imageContext)
            .build();
    List<AnnotateImageRequest> requests = Arrays.asList(annotateImageRequest);

    // Search products similar to the image.
    BatchAnnotateImagesResponse response = queryImageClient.batchAnnotateImages(requests);

    List<Result> similarProducts =
        response.getResponses(0).getProductSearchResults().getResultsList();
    System.out.println("Similar Products: ");
    for (Result product : similarProducts) {
      System.out.println(String.format("\nProduct name: %s", product.getProduct().getName()));
      System.out.println(
          String.format("Product display name: %s", product.getProduct().getDisplayName()));
      System.out.println(
          String.format("Product description: %s", product.getProduct().getDescription()));
      System.out.println(String.format("Score(Confidence): %s", product.getScore()));
      System.out.println(String.format("Image name: %s", product.getImage()));
    }
  }
}

// Imports the Google Cloud client library
const vision = require('@google-cloud/vision');
const fs = require('fs');
// Creates a client
const productSearchClient = new vision.ProductSearchClient();
const imageAnnotatorClient = new vision.ImageAnnotatorClient();

async function getSimilarProductsFile() {
  /**
   * TODO(developer): Uncomment the following line before running the sample.
   */
  // const projectId = 'nodejs-docs-samples';
  // const location = 'us-west1';
  // const productSetId = 'indexed_product_set_id_for_testing';
  // const productCategory = 'apparel';
  // const filePath = './resources/shoes_1.jpg';
  // const filter = '';
  const productSetPath = productSearchClient.productSetPath(
    projectId,
    location,
    productSetId
  );
  const content = fs.readFileSync(filePath, 'base64');
  const request = {
    // The input image can be a GCS link or HTTPS link or Raw image bytes.
    // Example:
    // To use GCS link replace with below code
    // image: {source: {gcsImageUri: filePath}}
    // To use HTTP link replace with below code
    // image: {source: {imageUri: filePath}}
    image: {content: content},
    features: [{type: 'PRODUCT_SEARCH'}],
    imageContext: {
      productSearchParams: {
        productSet: productSetPath,
        productCategories: [productCategory],
        filter: filter,
      },
    },
  };
  const [response] = await imageAnnotatorClient.batchAnnotateImages({
    requests: [request],
  });
  console.log('Search Image:', filePath);
  const results = response['responses'][0]['productSearchResults']['results'];
  console.log('\nSimilar product information:');
  results.forEach(result => {
    console.log('Product id:', result['product'].name.split('/').pop(-1));
    console.log('Product display name:', result['product'].displayName);
    console.log('Product description:', result['product'].description);
    console.log('Product category:', result['product'].productCategory);
  });
}
getSimilarProductsFile();

from google.cloud import vision

def get_similar_products_file(
    project_id,
    location,
    product_set_id,
    product_category,
    file_path,
    filter,
    max_results,
):
    """Search similar products to image.
    Args:
        project_id: Id of the project.
        location: A compute region name.
        product_set_id: Id of the product set.
        product_category: Category of the product.
        file_path: Local file path of the image to be searched.
        filter: Condition to be applied on the labels.
                Example for filter: (color = red OR color = blue) AND style = kids
                It will search on all products with the following labels:
                color:red AND style:kids
                color:blue AND style:kids
        max_results: The maximum number of results (matches) to return. If omitted, all results are returned.
    """
    # product_search_client is needed only for its helper methods.
    product_search_client = vision.ProductSearchClient()
    image_annotator_client = vision.ImageAnnotatorClient()

    # Read the image as a stream of bytes.
    with open(file_path, "rb") as image_file:
        content = image_file.read()

    # Create annotate image request along with product search feature.
    image = vision.Image(content=content)

    # product search specific parameters
    product_set_path = product_search_client.product_set_path(
        project=project_id, location=location, product_set=product_set_id
    )
    product_search_params = vision.ProductSearchParams(
        product_set=product_set_path,
        product_categories=[product_category],
        filter=filter,
    )
    image_context = vision.ImageContext(product_search_params=product_search_params)

    # Search products similar to the image.
    response = image_annotator_client.product_search(
        image, image_context=image_context, max_results=max_results
    )

    index_time = response.product_search_results.index_time
    print("Product set index time: ")
    print(index_time)

    results = response.product_search_results.results

    print("Search results:")
    for result in results:
        product = result.product

        print(f"Score(Confidence): {result.score}")
        print(f"Image name: {result.image}")

        print(f"Product name: {product.name}")
        print("Product display name: {}".format(product.display_name))
        print(f"Product description: {product.description}\n")
        print(f"Product labels: {product.product_labels}\n")