Cloud service integration of golang functions

Cloud service integration allows developers to access key services such as object storage and machine learning through the Go language. To integrate Amazon S3, use github.com/aws/aws-sdk-go/s3; to integrate the Google Cloud Vision API, use cloud.google.com/go/vision.

Cloud Service Integration in Go Functions

Cloud services provide key services such as object storage, data analysis, and machine learning. By integrating cloud services into applications, developers can access these capabilities without having to develop and maintain the infrastructure themselves.

Go is a popular programming language that is well suited for cloud development due to its excellent concurrency and performance. Go provides several libraries and packages that simplify integration with cloud services.

Integrating Amazon S3 using Go

Amazon S3 (Simple Storage Service) is a popular object storage service. To integrate Amazon S3 using Go, you can use the github.com/aws/aws-sdk-go/s3 package.

import (
    "context"
    "fmt"
    "io"

    "github.com/aws/aws-sdk-go/aws"
    "github.com/aws/aws-sdk-go/aws/session"
    "github.com/aws/aws-sdk-go/service/s3"
)

// uploadFileToS3 上传文件到 Amazon S3 存储桶中。
func uploadFileToS3(w io.Writer, bucket, key, filePath string) error {
    // 创建一个新的 S3 客户端。
    sess := session.Must(session.NewSession())
    client := s3.New(sess)

    // 使用文件路径打开一个文件。
    file, err := os.Open(filePath)
    if err != nil {
        return fmt.Errorf("os.Open: %v", err)
    }
    defer file.Close()

    // 上传文件到指定的存储桶和键中。
    _, err = client.PutObjectWithContext(context.Background(), &s3.PutObjectInput{
        Bucket: aws.String(bucket),
        Key:    aws.String(key),
        Body:   file,
    })
    if err != nil {
        return fmt.Errorf("PutObjectWithContext: %v", err)
    }

    fmt.Fprintf(w, "Uploaded file to %s/%s\n", bucket, key)
    return nil
}

Integrating Google Cloud Vision API using Go

Google Cloud Vision API is an image analysis service. To integrate the Google Cloud Vision API using Go, you can use the cloud.google.com/go/vision package.

import (
    "context"
    "fmt"
    "log"

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

// detectLabelsFromGCS 分析存储在 Google Cloud Storage 的图像。
func detectLabelsFromGCS(w io.Writer, gcsURI string) error {
    ctx := context.Background()
    c, err := vision.NewImageAnnotatorClient(ctx)
    if err != nil {
        return fmt.Errorf("vision.NewImageAnnotatorClient: %v", err)
    }
    defer c.Close()

    image := &visionpb.Image{
        Source: &visionpb.ImageSource{
            GcsImageUri: gcsURI,
        },
    }
    annotations, err := c.DetectLabels(ctx, image, nil, 10)
    if err != nil {
        return fmt.Errorf("DetectLabels: %v", err)
    }

    if len(annotations) == 0 {
        fmt.Fprintln(w, "No labels found.")
    } else {
        fmt.Fprintln(w, "Labels:")
        for _, annotation := range annotations {
            fmt.Fprintln(w, annotation.Description)
        }
    }

    return nil
}

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