Added overview pages for guides and examples, and improved examples

docs/examples/dall-e3-generate-image.mdx

@@ -29,7 +29,6 @@ export const generateContent = task({
     maxAttempts: 3, // Retry up to 3 times
   },
   run: async ({ theme, description }: Payload) => {
-
     // Generate text
     const textResult = await openai.chat.completions.create({
       model: "gpt-4o",
@@ -64,4 +63,15 @@ function generateTextPrompt(theme: string, description: string): any {
 function generateImagePrompt(theme: string, description: string): any {
   return `Theme: ${theme}\n\nDescription: ${description}`;
 }
-```
+```
+
+## Testing your task
+
+To test this task in the dashboard, you can use the following payload:
+
+```json
+{
+  "theme": "A beautiful sunset",
+  "description": "A sunset over the ocean with a tiny yacht in the distance."
+}
+```

docs/examples/ffmpeg-video-processing.mdx

@@ -98,14 +98,13 @@ export const ffmpegCompressVideo = task({
 
     // Read the compressed video
     const compressedVideo = await fs.readFile(outputPath);
-
     const compressedSize = compressedVideo.length;
 
     // Log compression results
     logger.log(`Compressed video size: ${compressedSize} bytes`);
-    logger.log(`Compressed video saved at: ${outputPath}`);
+    logger.log(`Temporary compressed video file created`, { outputPath });
 
-    // Upload the compressed video to S3, replacing slashes with underscores
+    // Create the r2Key for the extracted audio, using the base name of the output path
     const r2Key = `processed-videos/${path.basename(outputPath)}`;
 
     const uploadParams = {
@@ -116,22 +115,31 @@ export const ffmpegCompressVideo = task({
 
     // Upload the video to R2 and get the URL
     await s3Client.send(new PutObjectCommand(uploadParams));
-    const r2Url = `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com/${process.env.R2_BUCKET}/${r2Key}`;
-    logger.log("Compressed video uploaded to R2", { url: r2Url });
+    logger.log(`Compressed video saved to your r2 bucket`, { r2Key });
 
     // Delete the temporary compressed video file
     await fs.unlink(outputPath);
+    logger.log(`Temporary compressed video file deleted`, { outputPath });
 
-    // Return the compressed video file path, compressed size, and S3 URL
+    // Return the compressed video buffer and r2 key
     return {
-      compressedVideoPath: outputPath,
-      compressedSize,
-      r2Url,
+      Bucket: process.env.R2_BUCKET,
+      r2Key,
     };
   },
 });
 ```
 
+### Testing:
+
+To test this task, use this payload structure:
+
+```json
+{
+  "videoUrl": "<video-url>"
+}
+```
+
 ## Extract audio from a video using FFmpeg
 
 This task demonstrates how to use FFmpeg to extract audio from a video, convert it to WAV format, and upload it to R2 storage.
@@ -145,11 +153,6 @@ This task demonstrates how to use FFmpeg to extract audio from a video, convert
 
 ### Task code
 
-<Warning>
-  When testing, make sure to provide a video URL that contains audio. If the video does not have
-  audio, the task will fail.
-</Warning>
-
 ```ts trigger/ffmpeg-extract-audio.ts
 import { PutObjectCommand, S3Client } from "@aws-sdk/client-s3";
 import { logger, task } from "@trigger.dev/sdk/v3";
@@ -176,63 +179,81 @@ export const ffmpegExtractAudio = task({
   run: async (payload: { videoUrl: string }) => {
     const { videoUrl } = payload;
 
-    // Generate temporary and output file names
+    // Generate temporary file names
     const tempDirectory = os.tmpdir();
-    const outputPath = path.join(tempDirectory, `output_${Date.now()}.wav`);
+    const outputPath = path.join(tempDirectory, `audio_${Date.now()}.wav`);
 
     // Fetch the video
     const response = await fetch(videoUrl);
 
-    // Convert the video to WAV
+    // Extract the audio
     await new Promise((resolve, reject) => {
       if (!response.body) {
         return reject(new Error("Failed to fetch video"));
       }
+
       ffmpeg(Readable.from(response.body))
-        .toFormat("wav")
-        .save(outputPath)
-        .on("end", () => {
-          logger.log(`WAV file saved to ${outputPath}`);
-          resolve(outputPath);
-        })
-        .on("error", (err) => {
-          reject(err);
-        });
+        .outputOptions([
+          "-vn", // Disable video output
+          "-acodec pcm_s16le", // Use PCM 16-bit little-endian encoding
+          "-ar 44100", // Set audio sample rate to 44.1 kHz
+          "-ac 2", // Set audio channels to stereo
+        ])
+        .output(outputPath)
+        .on("end", resolve)
+        .on("error", reject)
+        .run();
     });
 
-    // Read the WAV file
-    const wavBuffer = await fs.readFile(outputPath);
+    // Read the extracted audio
+    const audioBuffer = await fs.readFile(outputPath);
+    const audioSize = audioBuffer.length;
 
-    // Log the output file path
-    logger.log(`Converted video saved at: ${outputPath}`);
+    // Log audio extraction results
+    logger.log(`Extracted audio size: ${audioSize} bytes`);
+    logger.log(`Temporary audio file created`, { outputPath });
 
-    // Upload the compressed video to S3, replacing slashes with underscores
-    const r2Key = `processed-audio/${path.basename(outputPath)}`;
+    // Create the r2Key for the extracted audio, using the base name of the output path
+    const r2Key = `extracted-audio/${path.basename(outputPath)}`;
 
     const uploadParams = {
       Bucket: process.env.R2_BUCKET,
       Key: r2Key,
-      Body: wavBuffer,
+      Body: audioBuffer,
     };
 
     // Upload the audio to R2 and get the URL
     await s3Client.send(new PutObjectCommand(uploadParams));
-    const r2Url = `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com/${process.env.R2_BUCKET}/${r2Key}`;
-    logger.log("Extracted audio uploaded to R2", { url: r2Url });
+    logger.log(`Extracted audio saved to your R2 bucket`, { r2Key });
 
-    // Delete the temporary file
+    // Delete the temporary audio file
     await fs.unlink(outputPath);
+    logger.log(`Temporary audio file deleted`, { outputPath });
 
-    // Return the WAV buffer and file path
+    // Return the audio file path, size, and R2 URL
     return {
-      wavBuffer,
-      wavFilePath: outputPath,
-      r2Url,
+      Bucket: process.env.R2_BUCKET,
+      r2Key,
     };
   },
 });
 ```
 
+### Testing:
+
+To test this task, use this payload structure:
+
+<Warning>
+  Make sure to provide a video URL that contains audio. If the video does not have audio, the task
+  will fail.
+</Warning>
+
+```json
+{
+  "videoUrl": "<video-url>"
+}
+```
+
 ## Generate a thumbnail from a video using FFmpeg
 
 This task demonstrates how to use FFmpeg to generate a thumbnail from a video at a specific time and upload the generated thumbnail to R2 storage.
@@ -298,7 +319,7 @@ export const ffmpegGenerateThumbnail = task({
     // Read the generated thumbnail
     const thumbnail = await fs.readFile(outputPath);
 
-    // Upload the compressed video to S3, replacing slashes with underscores
+    // Create the r2Key for the extracted audio, using the base name of the output path
     const r2Key = `thumbnails/${path.basename(outputPath)}`;
 
     const uploadParams = {
@@ -318,7 +339,7 @@ export const ffmpegGenerateThumbnail = task({
     // Log thumbnail generation results
     logger.log(`Thumbnail uploaded to S3: ${r2Url}`);
 
-    // Return the thumbnail buffer, file path, sizes, and S3 URL
+    // Return the thumbnail buffer, path, and R2 URL
     return {
       thumbnailBuffer: thumbnail,
       thumbnailPath: outputPath,
@@ -327,3 +348,13 @@ export const ffmpegGenerateThumbnail = task({
   },
 });
 ```
+
+## Testing your task
+
+To test this task in the dashboard, you can use the following payload:
+
+```json
+{
+  "videoUrl": "<video-url>"
+}
+```

docs/examples/intro.mdx

@@ -0,0 +1,15 @@
+---
+title: "Introduction"
+sidebarTitle: "Introduction"
+description: "Learn how to use Trigger.dev with these practical task examples."
+---
+
+| Example task                                                  | Description                                                                 |
+| :------------------------------------------------------------ | :-------------------------------------------------------------------------- |
+| [DALL·E 3 image generation](/examples/dall-e3-generate-image) | Use OpenAI's GPT-4o and DALL·E 3 to generate an image and text.             |
+| [FFmpeg video processing](/examples/ffmpeg-video-processing)  | Use FFmpeg to process a video in various ways and save it to Cloudflare R2. |
+| [OpenAI with retrying](/examples/open-ai-with-retrying)       | Create a reusable OpenAI task with custom retry options.                    |
+| [React to PDF](/examples/react-pdf)                           | Use `react-pdf` to generate a PDF and save it to Cloudflare R2.             |
+| [Resend email sequence](/examples/resend-email-sequence)      | Send a sequence of emails over several days using Resend with Trigger.dev.  |
+| [Sharp image processing](/examples/sharp-image-processing)    | Use Sharp to process an image and save it to Cloudflare R2.                 |
+| [Vercel AI SDK](/examples/vercel-ai-sdk)                      | Use Vercel AI SDK to generate text using OpenAI.                            |

docs/examples/open-ai-with-retrying.mdx

@@ -43,5 +43,14 @@ export const openaiTask = task({
     return chatCompletion.choices[0].message.content;
   },
 });
+```
 
-```
+## Testing your task
+
+To test this task in the dashboard, you can use the following payload:
+
+```json
+{
+  "prompt": "What is the meaning of life?"
+}
+```

docs/examples/react-pdf.mdx

@@ -10,16 +10,18 @@ This example demonstrates how to use Trigger.dev to generate a PDF using `react-
 
 ## Task code
 
-```ts trigger/generateResumePDF.ts
+<Info> This example must be a .tsx file to use React components. </Info>
+
+```ts trigger/generateResumePDF.tsx
 import { logger, task } from "@trigger.dev/sdk/v3";
-import { Document, Page, Text, View } from "@react-pdf/renderer";
-import { renderToBuffer } from "@react-pdf/renderer";
+import { renderToBuffer, Document, Page, Text, View } from "@react-pdf/renderer";
 import { PutObjectCommand, S3Client } from "@aws-sdk/client-s3";
 
-// Initialize S3 client
-const s3Client = new S3Client({
+// Initialize R2 client
+const r2Client = new S3Client({
+  // How to authenticate to R2: https://developers.cloudflare.com/r2/api/s3/tokens/
   region: "auto",
-  endpoint: process.env.S3_ENDPOINT,
+  endpoint: process.env.R2_ENDPOINT,
   credentials: {
     accessKeyId: process.env.R2_ACCESS_KEY_ID ?? "",
     secretAccessKey: process.env.R2_SECRET_ACCESS_KEY ?? "",
@@ -29,6 +31,7 @@ const s3Client = new S3Client({
 export const generateResumePDF = task({
   id: "generate-resume-pdf",
   run: async (payload: { text: string }) => {
+    // Log the payload
     logger.log("Generating PDF resume", payload);
 
     // Render the ResumeDocument component to a PDF buffer
@@ -42,28 +45,41 @@ export const generateResumePDF = task({
       </Document>
     );
 
-    // Generate a unique filename
-    const filename = `${payload.text
-      .replace(/\s+/g, "-")
-      .toLowerCase()}-${Date.now()}.pdf`;
+    // Generate a unique filename based on the text and current timestamp
+    const filename = `${payload.text.replace(/\s+/g, "-").toLowerCase()}-${Date.now()}.pdf`;
+
+    // Set the R2 key for the PDF file
+    const r2Key = `resumes/${filename}`;
 
-    // Upload to R2
-    const s3Key = `resumes/${filename}`;
+    // Set the upload parameters for R2
     const uploadParams = {
-      Bucket: process.env.S3_BUCKET,
-      Key: s3Key,
+      Bucket: process.env.R2_BUCKET,
+      Key: r2Key,
       Body: pdfBuffer,
       ContentType: "application/pdf",
     };
 
+    // Log the upload parameters
     logger.log("Uploading to R2 with params", uploadParams);
 
-    // Upload the PDF to R2 and return the URL.
-    await s3Client.send(new PutObjectCommand(uploadParams));
-    const s3Url = `https://${process.env.S3_BUCKET}.s3.amazonaws.com/${s3Key}`;
-    logger.log("PDF uploaded to R2", { url: s3Url });
-    return { pdfUrl: s3Url };
+    // Upload the PDF to R2
+    await r2Client.send(new PutObjectCommand(uploadParams));
+
+    // Return the Bucket and R2 key for the uploaded PDF
+    return {
+      Bucket: process.env.R2_BUCKET,
+      Key: r2Key,
+    };
   },
 });
+```
+
+## Testing your task
+
+To test this task in the dashboard, you can use the following payload:
 
-```
+```json
+{
+  "text": "Hello, world!"
+}
+```