Merge pull request #335 from serverless/layers

lambda layers example!

Author: dschep

Diff for: README.md

@@ -43,6 +43,7 @@ serverless install -u https://github.com/serverless/examples/tree/master/folder-
 | Example | Runtime  |
 |:--------------------------- |:-----|
 | [Aws Dotnet Rest Api With Dynamodb](https://github.com/serverless/examples/tree/master/aws-dotnet-rest-api-with-dynamodb/src/DotNetServerless.Lambda) <br/> Reading/Writing operations using .NET Core and DynamoDB | dotnet |
+| [Aws Lambda Layer](https://github.com/serverless/examples/tree/master/aws-ffmpeg-layer)  | nodeJS |
 | [Aws Golang Simple Http Endpoint](https://github.com/serverless/examples/tree/master/aws-golang-simple-http-endpoint) <br/> Example demonstrates how to setup a simple HTTP GET endpoint with golang | golang |
 | [Aws Golang Stream Kinesis To Elasticsearch](https://github.com/serverless/examples/tree/master/aws-golang-stream-kinesis-to-elasticsearch) <br/> Pull data from AWS Kinesis streams and forward to elasticsearch | golang |
 | [Aws Alexa Skill](https://github.com/serverless/examples/tree/master/aws-node-alexa-skill) <br/> This example demonstrates how to use an AWS Lambdas for your custom Alexa skill. | nodeJS |

Diff for: aws-ffmpeg-layer/.gitignore

@@ -0,0 +1,3 @@
+.serverless/
+node_modules/
+layer/

Diff for: aws-ffmpeg-layer/README.md

@@ -0,0 +1,9 @@
+# AWS FFmepg Layer & a service using it to create GIFs
+```
+git clone https://github.com/serverless/examples
+cd examples/aws-ffmpeg-layer
+sls deploy
+```
+
+See the blog post about this example for more details:
+https://serverless.com/blog/publish-aws-lambda-layers-serverless-framework/

Diff for: aws-ffmpeg-layer/build.sh

@@ -0,0 +1,8 @@
+#!/bin/bash
+mkdir -p layer
+cd layer
+rm -rf *
+curl -O https://johnvansickle.com/ffmpeg/builds/ffmpeg-git-amd64-static.tar.xz
+tar xf ffmpeg-git-amd64-static.tar.xz
+mv ffmpeg-git-*-amd64-static ffmpeg
+rm ffmpeg-git-amd64-static.tar.xz

Diff for: aws-ffmpeg-layer/handler.js

@@ -0,0 +1,56 @@
+const { spawnSync } = require("child_process");
+const { readFileSync, writeFileSync, unlinkSync } = require("fs");
+const AWS = require("aws-sdk");
+
+const s3 = new AWS.S3();
+
+module.exports.mkgif = async (event, context) => {
+  if (!event.Records) {
+    console.log("not an s3 invocation!");
+    return;
+  }
+  for (const record of event.Records) {
+    if (!record.s3) {
+      console.log("not an s3 invocation!");
+      continue;
+    }
+    if (record.s3.object.key.endsWith(".gif")) {
+      console.log("already a gif");
+      continue;
+    }
+    // get the file
+    const s3Object = await s3
+      .getObject({
+        Bucket: record.s3.bucket.name,
+        Key: record.s3.object.key
+      })
+      .promise();
+    // write file to disk
+    writeFileSync(`/tmp/${record.s3.object.key}`, s3Object.Body);
+    // convert to gif!
+    spawnSync(
+      "/opt/ffmpeg/ffmpeg",
+      [
+        "-i",
+        `/tmp/${record.s3.object.key}`,
+        "-f",
+        "gif",
+        `/tmp/${record.s3.object.key}.gif`
+      ],
+      { stdio: "inherit" }
+    );
+    // read gif from disk
+    const gifFile = readFileSync(`/tmp/${record.s3.object.key}.gif`);
+    // delete the temp files
+    unlinkSync(`/tmp/${record.s3.object.key}.gif`);
+    unlinkSync(`/tmp/${record.s3.object.key}`);
+    // upload gif to s3
+    await s3
+      .putObject({
+        Bucket: record.s3.bucket.name,
+        Key: `${record.s3.object.key}.gif`,
+        Body: gifFile
+      })
+      .promise();
+  }
+};

Diff for: aws-ffmpeg-layer/package.json

@@ -0,0 +1,7 @@
+{
+  "name": "aws-lambda-layer",
+  "description": "",
+  "version": "0.1.0",
+  "dependencies": {},
+  "devDependencies": {}
+}

Diff for: aws-ffmpeg-layer/serverless.yml

@@ -0,0 +1,27 @@
+service: gifmaker
+frameworkVersion: ">=1.34.0 <2.0.0"
+
+provider:
+  name: aws
+  runtime: nodejs8.10
+  iamRoleStatements:
+    - Effect: Allow
+      Action:
+        - s3:PutObject
+        - s3:GetObject
+      Resource: "arn:aws:s3:::${self:custom.bucket}/*"
+
+functions:
+  mkgif:
+    handler: handler.mkgif
+    events:
+      - s3: ${self:custom.bucket}
+    layers:
+      - {Ref: FfmpegLambdaLayer}
+
+layers:
+  ffmpeg:
+    path: layer
+
+custom:
+  bucket: ${env:BUCKET, 'ffmpeg-layer-gif-maker'}