Blog post: Exploring Serverless with Python, StepFunctions, and Web Front-end Serverless
This time, with Serverless framework
This is a 'take two' on Slack Signup with AWS Lambda. It was simple and functional, but working with AWS raw is such a pain in the butt...
Here, I use 1) serverless.com to make working with lambda enjoyable and 2) AWS step-functions for multi-step sign-up workflow that touches multiple services. In this particular example, the workflow does what StackStorm signtup needs:
- call Slack API to create an invitation with Slack's undocumented API
- add a user to ActiveCampaign CRM
- record a user in DynamoDB
It is easy to modify to add your custom steps, have fun!
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Clone this repository.
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Install serverless framework, and the required plugins:
npm install -g serverless npm install
I use serverless-stepfunction plugin to write stepfunction as YAML in serverless.yaml and expose it as an API endpoint, and serverless-apig-s3 for convenient front-end deployment to the same URI (no CORS messing).
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Configure credentials
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For AWS credentials, follow setup docs. I prefer using [AWS CLI with named profiles](http://docs.aws.amazon.com/cli/latest/userguide/ cli-multiple-profiles.html). To use an AWS profile,
export AWS_DEFAULT_PROFILE="profileName"
. Test AWS CLI settings:aws lambda list-functions
.To use an AWS profile in Serverless,
export AWS_PROFILE=$AWS_DEFAULT_PROFILE
, to matchaws
CLI profile and avoid confusion. You MUST also specify the AWS region inAWS_REGION
for serverless, as it won't take it from AWS profile. So, three env vars in total:export AWS_DEFAULT_PROFILE="profileName" export AWS_PROFILE=$AWS_DEFAULT_PROFILE export AWS_REGION=us-west-2
NOTE: Till the bug #3947 fixed,the way to set a region is by
--region
insls
CLI.Or use
--aws-profile profileName
when invokingsls
CLI. Unfortunately there's no way to test it before you try to deploy.Create
./private.yml
file and set up the accountID and region there, seeprivate.yml.example
. Note that region must match -
Slack and ActiveCampaign: place your credentials and config in
./env.yml
, use env.yml.example. To find your Slack credentials for production or testing, use this hint from Stackstorm-Exchange.
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Deploy
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Install Python dependencies:
./build.sh
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Deploy serverless stack
sls deploy -v
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Deploy web client
sls client deploy
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Run, with
curl
:curl -X POST -H "Content-Type: application/json" -d '{"email":"[email protected]", "first_name":"Donald", "last_name":"Trump"}' https://wqftmz3m97.execute-api.us-east-1.amazonaws.com/dev/signup
Or, with
serverless
, for convenience:sls invoke stepf --name signup --data '{"email":"[email protected]", "first_name":"Donald", "last_name":"Trump"}'
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Run
tox
(dah,tox
and all your Python stack needs to be installed)virtualenv .venv source .venv/bin/activate pip install -r tests/test_requirements.txt
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To run unit tests for local testing/development:
# Activate virtualenv from tox source ./tox/py27/bin/activate # Run all tests python -m pytest # Run a single test and print the output ( -s flag ) python -m pytest -s tests/invite_slack_test.py::InviteSlackTest::test_handler_ok
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Call individual lambda functions with serverless
sls invoke -f RecordAC --data '{"email":"[email protected]", "first_name":"Donald", "last_name":"Trump"}'
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Watch the logs:
sls logs -f RecordAC
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On subsequent web client updates, just run
sls client deploy
. However when changes touch API Gateway settings, the full deploy is needed. -
Web updates doesn't [always, ever] deploy the API Gateway changes. Need to deploy manually (Console->Resources->Actions-Deploy API).
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Due to apig-s3 bug, remove the web s3 bucket manually when removing a stack.
aws s3 rb s3://bucketname --force
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Removing the stack does not remove the DynamoDB table. If you really want to start from scratch, delete it manually (export the data first):
aws dynamodb delete-table --table-name slack-signup-dev