Updated sharp docs

docs/guides/examples/ffmpeg-video-processing.mdx

@@ -6,7 +6,12 @@ description: "These examples show you how to process videos in various ways usin
 
 import LocalDevelopment from "/snippets/local-development-extensions.mdx";
 
-## Adding the FFmpeg build extension
+## Prerequisites
+
+- A project with [Trigger.dev initialized](/quick-start)
+- [FFmpeg](https://www.ffmpeg.org/download.html) installed on your machine
+
+### Adding the FFmpeg build extension
 
 To use these example tasks, you'll first need to add our FFmpeg extension to your project configuration like this:
 

docs/guides/examples/puppeteer.mdx

@@ -7,6 +7,11 @@ description: "These examples demonstrate how to use Puppeteer with Trigger.dev."
 import LocalDevelopment from "/snippets/local-development-extensions.mdx";
 import ScrapingWarning from "/snippets/web-scraping-warning.mdx";
 
+## Prerequisites
+
+- A project with [Trigger.dev initialized](/quick-start)
+- [Puppeteer](https://pptr.dev/guides/installation) installed on your machine
+
 ## Overview
 
 There are 3 example tasks to follow on this page:
@@ -15,7 +20,7 @@ There are 3 example tasks to follow on this page:
 2. [Generate a PDF from a web page](/guides/examples/puppeteer#generate-a-pdf-from-a-web-page)
 3. [Scrape content from a web page](/guides/examples/puppeteer#scrape-content-from-a-web-page)
 
-<ScrapingWarning/>
+<ScrapingWarning />
 
 ## Build configurations
 
@@ -133,7 +138,6 @@ export const puppeteerWebpageToPDF = task({
     return { pdfUrl: s3Url };
   },
 });
-
 ```
 
 ### Testing your task
@@ -146,9 +150,10 @@ There's no payload required for this task so you can just click "Run test" from
 
 In this example we use [Puppeteer](https://pptr.dev/) with a [BrowserBase](https://www.browserbase.com/) proxy to scrape the GitHub stars count from the [Trigger.dev](https://trigger.dev) landing page and log it out. See [this list](/guides/examples/puppeteer#proxying) for more proxying services we recommend.
 
-<Note>
-  When web scraping, you MUST use the technique below which uses a proxy with Puppeteer. Direct scraping without using `browserWSEndpoint` is prohibited and will result in account suspension.
-</Note>
+<Warning>
+  When web scraping, you MUST use the technique below which uses a proxy with Puppeteer. Direct
+  scraping without using `browserWSEndpoint` is prohibited and will result in account suspension.
+</Warning>
 
 ### Task code
 
@@ -209,4 +214,4 @@ Here are a list of proxy services we recommend:
 - [Browserless](https://browserless.io/)
 - [Oxylabs](https://oxylabs.io/)
 - [ScrapingBee](https://scrapingbee.com/)
-- [Smartproxy](https://smartproxy.com/)
+- [Smartproxy](https://smartproxy.com/)

docs/guides/examples/sharp-image-processing.mdx

@@ -8,9 +8,15 @@ import LocalDevelopment from "/snippets/local-development-extensions.mdx";
 
 ## Overview
 
-This task optimizes and watermarks an image using the Sharp library, and then uploads the processed image to R2 storage.
+This task processes and watermarks an image using the Sharp library, and then uploads it to R2 storage.
 
-## Adding build configurations
+## Prerequisites
+
+- A project with [Trigger.dev initialized](/quick-start)
+- The [Sharp](https://sharp.pixelplumbing.com/install) library installed on your machine
+- An R2-compatible object storage service, such as [Cloudflare R2](https://developers.cloudflare.com/r2)
+
+## Adding the build configuration
 
 To use this example, you'll first need to add these build settings to your `trigger.config.ts` file:
 
@@ -34,22 +40,22 @@ export default defineConfig({
 
 ## Key features
 
-    - Resizes and rotates an image
-    - Adds a watermark to the image
-    - Uploads the processed image to R2 storage
+- Resizes a JPEG image to 800x800 pixels
+- Adds a watermark to the image, positioned in the bottom-right corner, using a PNG image
+- Uploads the processed image to R2 storage
 
 ## Task code
 
 ```ts trigger/sharp-image-processing.ts
-import { PutObjectCommand, S3Client } from "@aws-sdk/client-s3";
+import { S3Client } from "@aws-sdk/client-s3";
+import { Upload } from "@aws-sdk/lib-storage";
 import { logger, task } from "@trigger.dev/sdk/v3";
 import fs from "fs/promises";
-import fetch from "node-fetch";
 import os from "os";
 import path from "path";
 import sharp from "sharp";
 
-// Initialize R2 client
+// Initialize R2 client using your R2 account details
 const r2Client = new S3Client({
   region: "auto",
   endpoint: process.env.R2_ENDPOINT,
@@ -61,63 +67,51 @@ const r2Client = new S3Client({
 
 export const sharpProcessImage = task({
   id: "sharp-process-image",
+  retry: { maxAttempts: 1 },
   run: async (payload: { imageUrl: string; watermarkUrl: string }) => {
     const { imageUrl, watermarkUrl } = payload;
+    const outputPath = path.join(os.tmpdir(), `output_${Date.now()}.jpg`);
 
-    // Generate temporary and output file names
-    const tempDirectory = os.tmpdir();
-    const outputPath = path.join(tempDirectory, `output_${Date.now()}.jpg`);
-
-    // Fetch the image and watermark
     const [imageResponse, watermarkResponse] = await Promise.all([
       fetch(imageUrl),
       fetch(watermarkUrl),
     ]);
     const imageBuffer = await imageResponse.arrayBuffer();
     const watermarkBuffer = await watermarkResponse.arrayBuffer();
 
-    // Optimize the image using Sharp
     await sharp(Buffer.from(imageBuffer))
-      .rotate(90) // Rotate the image by 90 degrees
-      .resize(800, 600) // Resize the image to 800x600
+      .resize(800, 800) // Resize the image to 800x800px
       .composite([
         {
           input: Buffer.from(watermarkBuffer),
           gravity: "southeast", // Position the watermark in the bottom-right corner
         },
       ])
-      .toFormat("jpeg")
-      .toFile(outputPath);
-
-    // Log the output file path
-    logger.log(`Optimized image saved at: ${outputPath}`);
-
-    // Read the optimized image file
-    const optimizedImageBuffer = await fs.readFile(outputPath);
-
-    // Upload the optimized image to R2, replacing slashes with underscores
-    const r2Key = `processed-images/${path.basename(outputPath)}`;
-
-    const uploadParams = {
-      Bucket: process.env.R2_BUCKET,
-      Key: r2Key,
-      Body: optimizedImageBuffer,
-    };
-
-    // Upload the image to R2 and get the URL
-    await r2Client.send(new PutObjectCommand(uploadParams));
-    const r2Url = `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com/${process.env.R2_BUCKET}/${r2Key}`;
-    logger.log("Optimized image uploaded to R2", { url: r2Url });
-
-    // Delete the temporary file
-    await fs.unlink(outputPath);
-
-    // Return the optimized image buffer, file path, and R2 URL
-    return {
-      optimizedImageBuffer,
-      optimizedImagePath: outputPath,
-      r2Url,
-    };
+      .jpeg() // Convert to jpeg
+      .toBuffer() // Convert to buffer
+      .then(async (outputBuffer) => {
+        await fs.writeFile(outputPath, outputBuffer); // Write the buffer to file
+
+        const r2Key = `processed-images/${path.basename(outputPath)}`;
+        const uploadParams = {
+          Bucket: process.env.R2_BUCKET,
+          Key: r2Key,
+          Body: await fs.readFile(outputPath),
+        };
+
+        const upload = new Upload({
+          client: r2Client,
+          params: uploadParams,
+        });
+
+        await upload.done();
+        logger.log("Image uploaded to R2 storage.", {
+          path: `/${process.env.R2_BUCKET}/${r2Key}`,
+        });
+
+        await fs.unlink(outputPath); // Clean up the temporary file
+        return { r2Key };
+      });
   },
 });
 ```
@@ -133,4 +127,4 @@ To test this task in the dashboard, you can use the following payload:
 }
 ```
 
-<LocalDevelopment packages={"the Sharp image processing library"} />
+<LocalDevelopment packages={"the Sharp image processing library"} />