Serverless-aliyun-function-compute-wnj NPM

Aliyun Function Compute Serverless Plugin

This plugin enables Aliyun Function Compute support within the Serverless Framework.

Getting started

Pre-requisites

Node.js v8.x for using the plugin.
- Note that at the moment, Aliyun Function Compute only supports Node.js v4.4 and v6.x. v8.x support will be added to Function Compute later, but for now we still need to use a higher version of runtime to use the CLI.
Serverless CLI v1.20.0+. You can get it by running npm i -g serverless.
An Aliyun account.

Example

You can install the following example via:

serverless install --url https://github.com/aliyun/serverless-function-compute-examples/tree/master/aliyun-nodejs

The structure of the project should look something like this:

├── index.js
├── node_modules
├── package.json
└── serverless.yml

serverless.yml:

service: serverless-aliyun-hello-world

provider:
  name: aliyun
  runtime: nodejs6
  credentials: ~/.aliyuncli/credentials # path must be absolute

plugins:
  - serverless-aliyun-function-compute

package:
  exclude:
    - package-lock.json
    - .gitignore
    - .git/**

functions:
  hello:
    handler: index.hello
    events:
      - http:
          path: /foo
          method: get

package.json:

{
  "name": "serverless-aliyun-hello-world",
  "version": "0.1.0",
  "description": "Hello World example for aliyun provider with Serverless Framework.",
  "main": "index.js",
  "license": "MIT",
  "devDependencies": {
    "serverless-aliyun-function-compute": "^1.0.0"
  }
}

index.js:

'use strict';

exports.hello = (event, context, callback) => {
  const response = {
    statusCode: 200,
    body: JSON.stringify({ message: 'Hello!' }),
  };

  callback(null, response);
};

Note that ~/.aliyuncli/credentials is where the aliyun-cli puts the crendentials after running aliyuncli configure. You don't have to use aliyuncli though, you can just create a similar file with your own access keys and make sure pointing the value of the credentials field in serverless.yml to it.

In addition to aliyun_access_key_secret and aliyun_access_key_id, please configure aliyun_account_id (a numeric number for identifying your account, available in Aliyun Console) as well. This credential file should look something like this:

[default]
aliyun_access_key_secret = 098f6bcd4621d373cade4e832627b4f6
aliyun_access_key_id = nA5hjMhbg9BOoVo
aliyun_account_id = 1504163990726

See test/project for a more detailed example (including how to access other Aliyun services, how to set up a HTTP POST endpoint, how to set up OSS triggers, etc.).

Workflow

Deploy your service to Aliyun:
```
serverless deploy
```
If your service contains HTTP endpoints, you will see the URLs for invoking your functions after a successful deployment.
Note: you can use serverless deploy function --function <function name> to deploy a single function instead of the entire service.
Invoke a function directly (without going through the API gateway):
```
serverless invoke --function hello
```
Retrieve the LogHub logs generated by your function:
```
serverless logs --function hello
```
Get information on your deployed functions
```
serverless info
```
When you no longer needs your service, you can remove the service, functions, along with deployed endpoints and triggers using:
```
serverless remove
```
Note: by default RAM roles and policies created during the deployment are not removed. You can use serverless remove --remove-roles if you do want to remove them.

Develop

# clone this repo
git clone git@github.com:aliyun/serverless-aliyun-function-compute.git

# link this module to global node_modules
cd serverless-aliyun-function-compute
npm install
npm link

# try it out by packaging the test project
cd test/project
npm install
npm link serverless-aliyun-function-compute
serverless package