Build and run your own advanced state machine as a service.

• AWS: API Gateway, Lambda, DynamoDB
• Python 3.7
• Transitions

• AWS Account
• AWS CLI
• SAM CLI
• Python 3.7
• (Optional) jq

The serverless app in this repository is an example built on the state machine as a service template. It is a code template, all the pieces are in place for your own implementation. The functions folder holds all the code for the example, everything else is part of the reusable template. The state maching implementation is based on the Transitions library. "A lightweight, object-oriented state machine implementation in Python"

The example state machine - for a fictitious document approval procedure - is depicted on the next diagram.

The is_long condition checks if the document is too long. The idea is that long documents are then processed through a summarizer.

1. Run the template generator script.

    python template.py > template.yaml
   

2. Create S3 bucket for deployment

   BUCKET NAME is where the deployment artefacts are placed

   REGION is where your bucket is created

    aws s3api create-bucket --bucket [BUCKET NAME] --create-bucket-configuration LocationConstraint=[REGION]
   

3. Build the project with SAM

    sam build --template template.yaml --build-dir ./dist
   

4. Package the project with SAM

    sam package --s3-bucket [BUCKET NAME] --template-file dist/template.yaml --output-template-file dist/packaged.yaml
   

5. Deploy the project with CloudFormation

    aws cloudformation deploy --template-file dist/packaged.yaml\
      --stack-name DocumentApprovalStack --s3-bucket [BUCKET NAME]\
      --capabilities CAPABILITY_NAMED_IAM
   

Remove the deployment (deleting stack) if the app is not needed anymore, or if something goes wrong during deployment that needs fixing before trying it again.

aws cloudformation delete-stack --stack-name DocumentApprovalStack

Soon coming to the fnAttic website.