An Openfass Serverless Function template for Magda. You can also use faas-cli to create a Openfaas function. However, this template leverage our own toolset and works with our own deployment / CI system better.
You can click the
Use this template
Github function button above to create a new repository from this template repository instead of forking it. More details see Github Help Document: Creating a repository from a template
You can supply your own function code in src/index.ts
. e.g.:
export default async function myFunction(input: any) {
return "hello world!\n";
}
Invoke you function with
Content-Type: application/json
header will make your function receive unserialised data as input parameter.
yarn install
- Deploy Magda v0.0.57-0 or later
- Build the function
- Run
yarn build
- Run
- Push docker image to minikube
- Run
eval $(minikube docker-env)
- Run
yarn docker-build-local
- Run
- Deploy function to Minikube
- Make sure
namespacePrefix
field indeploy/minikube-dev.yaml
contains correctmagda-core
deploy namespace. By default, it'sdefault
and it works if you've deployed Magda todefault
namespace. - Run
yarn deploy-local
- Make sure
- Invoke your Function:
- Install
faas-cli
- Run
kubectl --namespace=[openfaas gateway namespace] port-forward svc/gateway 8080
to port-forward openfaas gateway- Here, [openfaas gateway namespace] is
[magda-core namespace]-openfaas
. e.g. if magda is deployed todefault
namespace,[openfaas gateway namespace]
would bedefault-openfaas
- Here, [openfaas gateway namespace] is
- Invoke by Run
echo "" | faas-cli faas-cli invoke magda-function-template
- Alternatively, you can use Postman to send a HTTP Request (HTTP method doesn't matter here) to Magda gateway
/api/v0/openfaas/function/magda-function-template
- Install
- Add as Magda dependencies:
- name: magda-function-template
version: 0.0.57-0
repository: https://charts.magda.io
tags:
- all
- magda-function-template
- Run
helm dep build
to pull the dependency - Deploy Magda
- Method One:
- Access Magda Gateway:
/api/v0/openfaas/system/function
with your web browser- You might need Admin access to access this endpoint. However, you can disable the admin auth in Magda config.
- Access Magda Gateway:
- Method Two:
- Run
kubectl --namespace=[openfaas function namespace] get functions
- Here, [openfaas function namespace] is
[magda-core namespace]-openfaas-fn
. e.g. if magda is deployed todefault
namespace,[openfaas function namespace]
would bedefault-openfaas-fn
- Here, [openfaas function namespace] is
- Run
If the
Scale to Zero
option is set for the function (it's set to true by default), you won't see function pod in openfaas function namespace until you invoke the function
This repo comes with script to build, test & release script to release docker image & helm chart to Magda repo. You need to setup the following Github action secrets to make it work:
AWS_ACCESS_KEY_ID
: Magda helm chart repo S3 bucket access keyAWS_SECRET_ACCESS_KEY
: Magda helm chart repo S3 bucket access key secretDOCKER_HUB_PASSWORD
: Magda docker hub bot passwordGITHUB_ACCESS_TOKEN
: Magda github bot access token
Kubernetes: >= 1.14.0-0
Repository | Name | Version |
---|---|---|
https://charts.magda.io | magda-common | 1.0.0-alpha.4 |
Key | Type | Default | Description |
---|---|---|---|
defaultImage.imagePullSecret | bool | false |
|
defaultImage.pullPolicy | string | "IfNotPresent" |
|
defaultImage.repository | string | "docker.io/data61" |
|
global.image | object | {} |
|
global.openfaas | object | {} |
|
image.name | string | "magda-function-template" |
|
resources.limits.cpu | string | "100m" |
|
resources.requests.cpu | string | "50m" |
|
resources.requests.memory | string | "30Mi" |