Perform text anaylysis for incoming emails to the specified email address on IBM Watson NLP and store email content with emotion score into DynamoDB table
- Python3.8
- Pipenv
- NodeJS v14 over
- Yarn
- Serverless Framework
- AWS CLI
$ aws configure --profile stealth # configure the credentials and region: us-east-1
- Configure Parameter Store
Set SENDER and RECIPIENT parameters in AWS SSM's Parameter Store console before deploying the app below.
These are environment variables for the app.
Install dev dependencies
$ yarn # in root directory
Install dependencies for app
$ pipenv --three --site-packages # this creates venv for the project
$ pipenv shell # get into the venv
$ pipenv # install dependencies
$ sls deploy # This deployes the app to AWS
You might also want to deploy only updated function after you'd make some changes in handler.py file.
In this case, you don't have to deploy the entire app as it will take much longer time.
$ sls deploy -f Analyze # This is very fast deployment
$ sls remove # This removes all deployed resources from AWS