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This project has been generated using the aws-nodejs-typescript
template from the Serverless framework.
For detailed instructions, please refer to the documentation.
Depending on your preferred package manager, follow the instructions below to deploy your project.
Requirements: NodeJS
lts/fermium (v.14.15.0)
. If you're using nvm, runnvm use
to ensure you're using the same Node version in local and in your lambda's runtime.
- Run
npm i
to install the project dependencies - Run
npx sls deploy
to deploy this stack to AWS
- Run
yarn
to install the project dependencies - Run
yarn sls deploy
to deploy this stack to AWS
This template contains a single lambda function triggered by an HTTP request made on the provisioned API Gateway REST API /hello
route with POST
method. The request body must be provided as application/json
. The body structure is tested by API Gateway against src/functions/hello/schema.ts
JSON-Schema definition: it must contain the name
property.
- requesting any other path than
/hello
with any other method thanPOST
will result in API Gateway returning a403
HTTP error code - sending a
POST
request to/hello
with a payload not containing a string property namedname
will result in API Gateway returning a400
HTTP error code - sending a
POST
request to/hello
with a payload containing a string property namedname
will result in API Gateway returning a200
HTTP status code with a message saluting the provided name and the detailed event processed by the lambda
⚠️ As is, this template, once deployed, opens a public endpoint within your AWS account resources. Anybody with the URL can actively execute the API Gateway endpoint and the corresponding lambda. You should protect this endpoint with the authentication method of your choice.
In order to test the hello function locally, run the following command:
npx sls invoke local -f hello --path src/functions/hello/mock.json
if you're using NPMyarn sls invoke local -f hello --path src/functions/hello/mock.json
if you're using Yarn
Check the sls invoke local command documentation for more information.
Copy and replace your url
- found in Serverless deploy
command output - and name
parameter in the following curl
command in your terminal or in Postman to test your newly deployed application.
curl --location --request POST 'https://myApiEndpoint/dev/hello' \
--header 'Content-Type: application/json' \
--data-raw '{
"name": "Frederic"
}'
The project code base is mainly located within the src
folder. This folder is divided in:
functions
- containing code base and configuration for your lambda functionslibs
- containing shared code base between your lambdas
.
├── src
│ ├── functions # Lambda configuration and source code folder
│ │ ├── hello
│ │ │ ├── handler.ts # `Hello` lambda source code
│ │ │ ├── index.ts # `Hello` lambda Serverless configuration
│ │ │ ├── mock.json # `Hello` lambda input parameter, if any, for local invocation
│ │ │ └── schema.ts # `Hello` lambda input event JSON-Schema
│ │ │
│ │ └── index.ts # Import/export of all lambda configurations
│ │
│ └── libs # Lambda shared code
│ └── apiGateway.ts # API Gateway specific helpers
│ └── handlerResolver.ts # Sharable library for resolving lambda handlers
│ └── lambda.ts # Lambda middleware
│
├── package.json
├── serverless.ts # Serverless service file
├── tsconfig.json # Typescript compiler configuration
├── tsconfig.paths.json # Typescript paths
└── webpack.config.js # Webpack configuration
- json-schema-to-ts - uses JSON-Schema definitions used by API Gateway for HTTP request validation to statically generate TypeScript types in your lambda's handler code base
- middy - middleware engine for Node.Js lambda. This template uses http-json-body-parser to convert API Gateway
event.body
property, originally passed as a stringified JSON, to its corresponding parsed object - @serverless/typescript - provides up-to-date TypeScript definitions for your
serverless.ts
service file
Any tsconfig.json can be used, but if you do, set the environment variable TS_NODE_CONFIG
for building the application, eg TS_NODE_CONFIG=./tsconfig.app.json npx serverless webpack
To make it easy for you to get started with GitLab, here's a list of recommended next steps.
Already a pro? Just edit this README.md and make it your own. Want to make it easy? Use the template at the bottom!
- Create or upload files
- Add files using the command line or push an existing Git repository with the following command:
cd existing_repo
git remote add origin https://gitlab.com/LDJ/lambda-test-serverless.git
git branch -M master
git push -uf origin master
- Invite team members and collaborators
- Create a new merge request
- Automatically close issues from merge requests
- Enable merge request approvals
- Automatically merge when pipeline succeeds
Use the built-in continuous integration in GitLab.
- Get started with GitLab CI/CD
- Analyze your code for known vulnerabilities with Static Application Security Testing(SAST)
- Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy
- Use pull-based deployments for improved Kubernetes management
- Set up protected environments
When you're ready to make this README your own, just edit this file and use the handy template below (or feel free to structure it however you want - this is just a starting point!). Thank you to makeareadme.com for this template.
Every project is different, so consider which of these sections apply to yours. The sections used in the template are suggestions for most open source projects. Also keep in mind that while a README can be too long and detailed, too long is better than too short. If you think your README is too long, consider utilizing another form of documentation rather than cutting out information.
Choose a self-explaining name for your project.
Let people know what your project can do specifically. Provide context and add a link to any reference visitors might be unfamiliar with. A list of Features or a Background subsection can also be added here. If there are alternatives to your project, this is a good place to list differentiating factors.
On some READMEs, you may see small images that convey metadata, such as whether or not all the tests are passing for the project. You can use Shields to add some to your README. Many services also have instructions for adding a badge.
Depending on what you are making, it can be a good idea to include screenshots or even a video (you'll frequently see GIFs rather than actual videos). Tools like ttygif can help, but check out Asciinema for a more sophisticated method.
Within a particular ecosystem, there may be a common way of installing things, such as using Yarn, NuGet, or Homebrew. However, consider the possibility that whoever is reading your README is a novice and would like more guidance. Listing specific steps helps remove ambiguity and gets people to using your project as quickly as possible. If it only runs in a specific context like a particular programming language version or operating system or has dependencies that have to be installed manually, also add a Requirements subsection.
Use examples liberally, and show the expected output if you can. It's helpful to have inline the smallest example of usage that you can demonstrate, while providing links to more sophisticated examples if they are too long to reasonably include in the README.
Tell people where they can go to for help. It can be any combination of an issue tracker, a chat room, an email address, etc.
If you have ideas for releases in the future, it is a good idea to list them in the README.
State if you are open to contributions and what your requirements are for accepting them.
For people who want to make changes to your project, it's helpful to have some documentation on how to get started. Perhaps there is a script that they should run or some environment variables that they need to set. Make these steps explicit. These instructions could also be useful to your future self.
You can also document commands to lint the code or run tests. These steps help to ensure high code quality and reduce the likelihood that the changes inadvertently break something. Having instructions for running tests is especially helpful if it requires external setup, such as starting a Selenium server for testing in a browser.
Show your appreciation to those who have contributed to the project.
For open source projects, say how it is licensed.
If you have run out of energy or time for your project, put a note at the top of the README saying that development has slowed down or stopped completely. Someone may choose to fork your project or volunteer to step in as a maintainer or owner, allowing your project to keep going. You can also make an explicit request for maintainers.
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