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SearchAPI-v3

This project contains source code and supporting files for a serverless application that you can deploy with the SAM CLI. It includes the following files and folders.

  • SearchAPI - Code for the application's Lambda function.
  • events - Invocation events that you can use to invoke the function.
  • tests - Unit tests for the application code.
  • template.yaml - A template that defines the application's AWS resources.

The application uses several AWS resources, including Lambda functions and an API Gateway API. These resources are defined in the template.yaml file in this project. You can update the template to add AWS resources through the same deployment process that updates your application code.

Default Parameters

I added the parameters for deploying to samconfig.toml to have sensible default params specific to this project. Thus SAM may not behave the same as on other projects!

Quick start: Develop the app locally

To develop against anything inside the container itself (FastAPI), run these commands to build/start the server:

sam build --template-file template-docker.yaml
sam local start-api --env-vars local-env-vars.conf

If you haven't done so, you'll have to pull the asf_search repo to the root of this project (and switch to the cs.searchapi-v3-edits branch if it's not merged yet).

Once that branch is merged, we can remove the local install from the dockerfile and delete the local repo. This helps with developing against asf_search until then.

Deploy the sample application

To use the SAM CLI, you need the following tools.

To build and deploy your application for the first time, run the following in your shell:

For Python-based Lambda

export AWS_PROFILE=<your-profile>
sam validate --template-file template-python.yaml
sam build --template-file template-python.yaml
sam package
sam deploy /
    --stack-name SearchAPI-v3-SAM-python

For Docker-based Lambda

export AWS_PROFILE=<your-profile>
sam validate --template-file template-docker.yaml
sam build --template-file template-docker.yaml
sam package --image-repository "$(aws sts get-caller-identity --query Account --output text).dkr.ecr.us-east-1.amazonaws.com/searchapi-v3"
sam deploy \ 
    --stack-name SearchAPI-v3-SAM-docker \ 
    --image-repository "$(aws sts get-caller-identity --query Account --output text).dkr.ecr.us-east-1.amazonaws.com/searchapi-v3"

Use the SAM CLI to build and test locally

Build your application with the sam build ... command above.

The SAM CLI installs dependencies defined in SearchAPI/requirements.txt, creates a deployment package, and saves it in the .aws-sam/build folder.

Test a single function by invoking it directly with a test event. An event is a JSON document that represents the input that the function receives from the event source. Test events are included in the events folder in this project.

Run functions locally and invoke them with the sam local invoke command.

# THIS WON'T WORK until we add API Gateway events to events/*
# for now, use `sam local start-api` in the next part instead.
sam local invoke SearchApiFunction --event events/event.json

The SAM CLI can also emulate your application's API. Use the sam local start-api to run the API locally on port 3000.

sam local start-api --env-vars local-env-vars.conf
curl http://localhost:3000/

Fetch, tail, and filter Lambda function logs

To simplify troubleshooting, SAM CLI has a command called sam logs. sam logs lets you fetch logs generated by your deployed Lambda function from the command line. In addition to printing the logs on the terminal, this command has several nifty features to help you quickly find the bug.

NOTE: This command works for all AWS Lambda functions; not just the ones you deploy using SAM.

sam logs -n SearchApiFunction --stack-name SearchAPI-v3-SAM --tail

You can find more information and examples about filtering Lambda function logs in the SAM CLI Documentation.

Tests

Tests are defined in the tests folder in this project. Use PIP to install the test dependencies and run tests.

pip install -r tests/requirements.txt --user
# unit test
python -m pytest tests/unit -v
# integration test, requiring deploying the stack first.
# Create the env variable AWS_SAM_STACK_NAME with the name of the stack we are testing
AWS_SAM_STACK_NAME=<stack-name> python -m pytest tests/integration -v

Cleanup

To delete the sample application that you created, use the AWS CLI. Assuming you used your project name for the stack name, you can run the following:

sam delete --stack-name SearchAPI-v3-SAM

Resources

See the AWS SAM developer guide for an introduction to SAM specification, the SAM CLI, and serverless application concepts.

Next, you can use AWS Serverless Application Repository to deploy ready to use Apps that go beyond hello world samples and learn how authors developed their applications: AWS Serverless Application Repository main page