Integration with Third-Party Services and Modules

1.1 Overview of Third-Party Integrations

CapsureLabs enables smooth communication with external services through API clients, SDKs, and custom middleware. Primary use cases include:

Data Storage and Retrieval

Storing large datasets or media assets on cloud storage solutions (e.g., AWS S3, Google Cloud Storage).

Data Analysis and Machine Learning

Notifications and Messaging

1.1.1 Prerequisites and Security Considerations

API Keys and Authentication

Ensure that you use secure, encrypted storage for API keys (e.g., environment variables or vaults) and apply access controls to restrict API usage.

Rate Limits

Error Handling

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1.2 Integration Examples

This section provides sample code snippets to help you integrate with third-party services, using AWS S3 for cloud storage and Google Cloud Translation API for language translation as examples.

1.2.1 Integration with AWS S3 for File Storage

Step 1: Install the AWS SDK:

npm install aws-sdk

Step 2: Configure and initialize the S3 client with your credentials

const AWS = require('aws-sdk');

// Configure AWS SDK
AWS.config.update({
    accessKeyId: process.env.AWS_ACCESS_KEY_ID,
    secretAccessKey: process.env.AWS_SECRET_ACCESS_KEY,
    region: 'us-west-2'  // Specify your AWS region
});

const s3 = new AWS.S3();

// Function to upload file to S3
async function uploadFileToS3(bucketName, filePath, fileContent) {
    const params = {
        Bucket: bucketName,
        Key: filePath,
        Body: fileContent,
        ACL: 'public-read'
    };

    try {
        const data = await s3.upload(params).promise();
        console.log('File uploaded successfully:', data.Location);
        return data.Location;  // Return the file URL
    } catch (error) {
        console.error('Error uploading file:', error);
        throw error;
    }
}

Usage:

const fs = require('fs');
const fileContent = fs.readFileSync('path/to/local/file.jpg');
uploadFileToS3('capsurelabs-bucket', 'uploads/file.jpg', fileContent);

1.2.2 Integration with Google Cloud Translation API

Purpose: Translate user-generated text to different languages using Google Cloud Translation.

Step 1: Install the Google Cloud Translation library:

npm install @google-cloud/translate

Step 2: Configure and initialize the Google Cloud Translation client with your credentials.

const { Translate } = require('@google-cloud/translate').v2;

// Configure Google Cloud credentials
const translate = new Translate({
    projectId: process.env.GOOGLE_CLOUD_PROJECT_ID,
    keyFilename: process.env.GOOGLE_APPLICATION_CREDENTIALS  // Path to your service account JSON file
});

// Function to translate text
async function translateText(text, targetLanguage) {
    try {
        const [translation] = await translate.translate(text, targetLanguage);
        console.log(`Text translated to ${targetLanguage}: ${translation}`);
        return translation;
    } catch (error) {
        console.error('Error translating text:', error);
        throw error;
    }
}

Usage:

translateText('Hello, CapsureLabs!', 'es');  // Output: "Hola, CapsureLabs!"

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1.3 Error Handling and Retry Logic

For reliable integration, handle errors such as network issues or rate limit responses. A retry mechanism ensures resilience in case of temporary service unavailability.

async function retryOperation(operation, retries) {
    for (let i = 0; i < retries; i++) {
        try {
            return await operation();
        } catch (error) {
            console.error(`Attempt ${i + 1} failed. Retrying...`, error);
            if (i === retries - 1) throw error;  // Throw error if last attempt fails
            await new Promise(res => setTimeout(res, 1000));  // Wait before retry
        }
    }
}

// Usage
retryOperation(() => uploadFileToS3('capsurelabs-bucket', 'uploads/file.jpg', fileContent), 3);

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1.4 Security and Best Practices

Environment Variables

Store sensitive keys and configuration values in environment variables or use a secrets manager to keep them secure.

Timeouts and Limits