A Serverless face rekognition API to be used in order to validate users. Working with face-rekongnition technology from AWS services
. It supports:
- ES7 syntax in your handler functions
- Use
importandexport
- Use
- Package your functions using Webpack
- Run API Gateway locally
- Use
serverless offline start
- Use
- Support for unit tests
- Run
npm testto run your tests
- Run
- Sourcemaps for proper error messages
- Error message show the correct line numbers
- Works in production with CloudWatch
- Automatic support for multiple handler files
- No need to add a new entry to your
webpack.config.js
- No need to add a new entry to your
- Add environment variables for your stages
To create a new face-rekon project.
$ git clone https://github.com/mendoza-com/face-rekognition.gitEnter the new directory
$ cd face-rekongnitionInstall the Node.js packages
$ npm installTo run unit tests on your local
$ npm testTo run a function on your local
$ serverless invoke local --function helloTo simulate API Gateway locally using serverless-offline
$ serverless offline startRun your tests
$ npm testWe use Jest to run our tests. You can read more about setting up your tests here.
Deploy your project
$ serverless deployDeploy a single function
$ serverless deploy function --function helloTo add another function as a new file to your project, simply add the new file and add the reference to serverless.yml. The webpack.config.js automatically handles functions in different files.
To add environment variables to your project
- Rename
env.exampletoenv.yml. - Add environment variables for the various stages to
env.yml. - Uncomment
environment: ${file(env.yml):${self:provider.stage}}in theserverless.yml. - Make sure to not commit your
env.yml.