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Automattic / node-canvas

Node canvas is a Cairo backed Canvas implementation for NodeJS.
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Prebuilt AWS Lambda Layer #1442

Open robert-moore opened 5 years ago

robert-moore commented 5 years ago

It would be great to have a prebuilt Lambda layer for node-canvas, like the ones for ffmpeg, pandoc, etc found here: https://github.com/mthenw/awesome-layers.

Based off of the Linux deployment from Docker like found here: https://github.com/Automattic/node-canvas/issues/1231#issuecomment-417995088

jwerre commented 5 years ago

Here you go: https://github.com/jwerre/node-canvas-lambda

robert-moore commented 5 years ago

@jwerre thanks! I followed your readme but I'm getting an invalid ELF header error. What does your Lambda code look like? I don't npm install canvas and then my lambda function looks like this: 

const { createCanvas } = require('canvas')
module.exports.canvasTest = function (event, context, callback) {
  const canvas = createCanvas(200, 200)
  const ctx = canvas.getContext('2d')
  console.log(event)
  ctx.font = '30px Impact'
  ctx.fillText('Awesome!', 50, 100)

  callback(null, '<img src="' + canvas.toDataURL() + '" />');
}

When I invoke the function, the error message is this:

{
    "errorMessage": "/var/task/node_modules/canvas/build/Release/canvas.node: invalid ELF header",
    "errorType": "Error",
    "stackTrace": [
        "Module.load (module.js:565:32)",
        "tryModuleLoad (module.js:505:12)",
        "Function.Module._load (module.js:497:3)",
        "Module.require (module.js:596:17)",
        "require (internal/module.js:11:18)",
        "Object.<anonymous> (/var/task/node_modules/canvas/lib/bindings.js:3:18)",
        "Module._compile (module.js:652:30)",
        "Object.Module._extensions..js (module.js:663:10)",
        "Module.load (module.js:565:32)"
    ]
}

Both the node-canvas layer and lib64 layer have been added.

jwerre commented 5 years ago

It may be loading canvas from your node_modules directory. Make sure you're not deploying canvas with your function, you don't need it since it's already in the layer. Maybe just put it as a devDependancy.

robert-moore commented 5 years ago

@jwerre ah I thought I uninstalled but there was still a local canvas dir in node_modules. I also tried with Node version 8 zip that you included in the repo but didn't have any luck getting this to work. Node version 10 version is up and running. Thank you thank you thank you!!

lyzs90 commented 5 years ago

@jwerre just wondering if u managed to get this to work with fabricjs (which uses node canvas under the hood)

update: managed to get it working with your nodejs10.x layer!

eranmit99 commented 4 years ago

Hi, I am using the prebuilt layer that was provided. After exporting the canvas on the lambda all text is shown with squares, locally it works fine. Seems like the lambda OS is missing fonts. did anyone encounter this ?

code example:

ctx.font = '30px Impact'; ctx.rotate(.1); ctx.fillText("Awesome!", 50, 100); canvas.toDataURL();

output:

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jwerre commented 4 years ago

@eranmit99 can you create an issue on the repository and I'll see if I can get that patched for you today.

eranmit99 commented 4 years ago

Did it just now tnx !

tomer183 commented 4 years ago

did you try to use different font ?

const { registerFont, createCanvas, Image } = require('canvas');

registerFont(fontsPath('FONT_FILE_NAME.TTF'), { family: FONT_NAME });

ctx.font = 100px ${FONT_NAME};

JohnGrisham commented 3 years ago

@jwerre I followed the layer instructions and get this logged in cloudwatch.

{
    "errorType": "Runtime.ImportModuleError",
    "errorMessage": "Error: Cannot find module 'canvas'",
    "stack": [
        "Runtime.ImportModuleError: Error: Cannot find module 'canvas'",
        "    at _loadUserApp (/var/runtime/UserFunction.js:100:13)",
        "    at Object.module.exports.load (/var/runtime/UserFunction.js:140:17)",
        "    at Object.<anonymous> (/var/runtime/index.js:43:30)",
        "    at Module._compile (internal/modules/cjs/loader.js:999:30)",
        "    at Object.Module._extensions..js (internal/modules/cjs/loader.js:1027:10)",
        "    at Module.load (internal/modules/cjs/loader.js:863:32)",
        "    at Function.Module._load (internal/modules/cjs/loader.js:708:14)",
        "    at Function.executeUserEntryPoint [as runMain] (internal/modules/run_main.js:60:12)",
        "    at internal/main/run_main_module.js:17:47"
    ]
}

I followed your recommendation to make chart.js chartjs-node-canvas chartjs-plugin-datalabels all dev deps. I'm using serverless with the serverless webpack plugin to deploy and my serverless.yml looks like so.

provider:
  name: aws
  profile: ${opt:aws-profile, 'admin'}
  region: ${opt:region, 'us-east-2'}
  runtime: nodejs12.x
  layers:
    - arn:aws:lambda:us-east-2:846292708457:layer:node12Canvas:1
    - arn:aws:lambda:us-east-2:846292708457:layer:node12CanvasLib64:1
  versionFunctions: false

custom:
  webpack:
    includeModules: true
  profiles:
    admin: admin
shawnmitchell commented 2 years ago

nevermind, thanks for the great library!! I am pretty sure it's a path issue in the lambda

ezraamos commented 2 years ago

@jwerre I followed the layer instructions and get this logged in cloudwatch.

{
    "errorType": "Runtime.ImportModuleError",
    "errorMessage": "Error: Cannot find module 'canvas'",
    "stack": [
        "Runtime.ImportModuleError: Error: Cannot find module 'canvas'",
        "    at _loadUserApp (/var/runtime/UserFunction.js:100:13)",
        "    at Object.module.exports.load (/var/runtime/UserFunction.js:140:17)",
        "    at Object.<anonymous> (/var/runtime/index.js:43:30)",
        "    at Module._compile (internal/modules/cjs/loader.js:999:30)",
        "    at Object.Module._extensions..js (internal/modules/cjs/loader.js:1027:10)",
        "    at Module.load (internal/modules/cjs/loader.js:863:32)",
        "    at Function.Module._load (internal/modules/cjs/loader.js:708:14)",
        "    at Function.executeUserEntryPoint [as runMain] (internal/modules/run_main.js:60:12)",
        "    at internal/main/run_main_module.js:17:47"
    ]
}

I followed your recommendation to make chart.js chartjs-node-canvas chartjs-plugin-datalabels all dev deps. I'm using serverless with the serverless webpack plugin to deploy and my serverless.yml looks like so.

provider:
  name: aws
  profile: ${opt:aws-profile, 'admin'}
  region: ${opt:region, 'us-east-2'}
  runtime: nodejs12.x
  layers:
    - arn:aws:lambda:us-east-2:846292708457:layer:node12Canvas:1
    - arn:aws:lambda:us-east-2:846292708457:layer:node12CanvasLib64:1
  versionFunctions: false

custom:
  webpack:
    includeModules: true
  profiles:
    admin: admin

@jwerre I followed the layer instructions and get this logged in cloudwatch.

{
    "errorType": "Runtime.ImportModuleError",
    "errorMessage": "Error: Cannot find module 'canvas'",
    "stack": [
        "Runtime.ImportModuleError: Error: Cannot find module 'canvas'",
        "    at _loadUserApp (/var/runtime/UserFunction.js:100:13)",
        "    at Object.module.exports.load (/var/runtime/UserFunction.js:140:17)",
        "    at Object.<anonymous> (/var/runtime/index.js:43:30)",
        "    at Module._compile (internal/modules/cjs/loader.js:999:30)",
        "    at Object.Module._extensions..js (internal/modules/cjs/loader.js:1027:10)",
        "    at Module.load (internal/modules/cjs/loader.js:863:32)",
        "    at Function.Module._load (internal/modules/cjs/loader.js:708:14)",
        "    at Function.executeUserEntryPoint [as runMain] (internal/modules/run_main.js:60:12)",
        "    at internal/main/run_main_module.js:17:47"
    ]
}

I followed your recommendation to make chart.js chartjs-node-canvas chartjs-plugin-datalabels all dev deps. I'm using serverless with the serverless webpack plugin to deploy and my serverless.yml looks like so.

provider:
  name: aws
  profile: ${opt:aws-profile, 'admin'}
  region: ${opt:region, 'us-east-2'}
  runtime: nodejs12.x
  layers:
    - arn:aws:lambda:us-east-2:846292708457:layer:node12Canvas:1
    - arn:aws:lambda:us-east-2:846292708457:layer:node12CanvasLib64:1
  versionFunctions: false

custom:
  webpack:
    includeModules: true
  profiles:
    admin: admin

@JohnGrisham have you solved this?

JohnGrisham commented 2 years ago

@ezraamos I think I did awhile back but I don't remember what I did. I'll try to find my code again and let you know.

sacchitchadha commented 2 years ago

@JohnGrisham you mentioned that you fixed this a while back, I am also getting the same error as you, could you please link your code / mention the steps you took to fix the error? thank you!

StackTraceYo commented 2 years ago

Did anyone figure out how to handle the issue with not finding the canvas module? i have it as a dev-dependency

{ "errorType": "Runtime.ImportModuleError", "errorMessage": "Error: Cannot find module 'canvas'", "stack": [ "Runtime.ImportModuleError: Error: Cannot find module 'canvas'",

ttavni commented 2 years ago

Also running into this problem. Is anyone else using AWS cdk to deploy their lambdas?

ttavni commented 2 years ago

I managed to solve this. I set my runtime on my lambda to Node 12 and used the repo published above - https://github.com/jwerre/node-canvas-lambda and added the two layers as instructed. Then add the layers to my lambda

KyleBrown-804 commented 2 years ago

@jwerre Do you know if there is there a way to include the two layers from the build generation for CDK deployment rather than sam? Ideally as a local lambda.LayerVersion and specifying fromAsset('/path/to/layer')?

KyleBrown-804 commented 2 years ago

Update: I was able to to get the layers to work with AWS CDK and Node 16. After running the above mentioned build step (in my case for x86_64), I was able to upload the generated zip files as layers.

From there in my cdk stack definition (under /lib/) I was able to create two lambda layers using lambda.LayerVersion.fromLayerVersionArn() and specifying the arns for those layers and then just included those layers in my lambda.Function definition.

(Tip if you want to still test out canvas locally as well): Install canvas as a dev dependency and make sure that you do not bundle the corresponding node_modules otherwise you will run into the same issue. For me I had a root level node_modules and another under /src/node_modules and made sure to only bundle the /src/node_module dependencies and not the root level node_modules. (Hope that helps someone)