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Creates a SAM template for a given project

Project description

# SAM Template Creator

## Intro

![Alt Text](

The SAM Template Creator helps you set up Infrastructure as Code for an AWS serverless project.
It reads your project folder and generates a [SAM template][1] containing the necessary functions, globals, environment variables, etc.

Compared to a full-fledged framework like [Serverless][2], the scope of this template creator is *limited*.
On the positive side, it is lightweight (only generating the SAM yaml file), simple to use and requires little config - though to get
the most use out of it, you will have to follow some conventions in your project setup.

Finally, for very complex use cases only original, hand-coded [SAM][1] or Cloudformation templates will suffice.


## Requirements

- python 3
- a project directory to scan

*Currently only Python projects are supported. Node, Go and Java are planned.*

## Usage

Run the `` or clone this project and run `python --location /absolute/path/to/project`.

Additional (optional) arguments are:
- language: can be useful if you think the script will not be able to guess the language (it checks the number of files per language and takes the highest),
or if you want to get an older version of a runtime (the script will default to the latest version of, for example, python)
- memory: memory you want to set for your lambdas. Defaults to 512
- timeout: the timeout for your lambdas. Defaults to 3

The script will create a `template.yaml` file in the root of your project's directory. Check its contents! It might point out some things you have to fill in.

You can then deploy the template to AWS, using

`aws cloudformation package --template-file template.yaml --s3-bucket YOUR-BUCKET-NAME --output-template-file outputSamTemplate.yaml --capabilities CAPABILITY_IAM`


`aws cloudformation deploy --template-file outputSamTemplate.yaml --stack-name YOUR-STACK_NAME --capabilities CAPABILITY_IAM`

### Notes on usage

*SAM Template Creator requires your project to be organised in a certain way.*

#### Directory

Every lambda should have its own directory, under the root of the project. Other files can be present in the same directory.

#### Naming conventions

##### Python

- the name of the Lambda handler function should contain the word 'handler'. The event should end with 'event' and the context should be named 'context'.
For instance `def lambda_handler(s3event, context)`
- if part of the name equals a http method, we assume you want to map it to an api gateway method with the path represented by the rest of the name.
For example, if your handler function's name is `def put_hello_world_hander(event, context)`, the function is mapped to a `PUT` to `/hello/world`.
- if the lambda is triggered by an event source, the name should reflect that.
For example, if s3 is the source, the name of the event should contain `s3`, like this: `s3event` or `s3_event` or...
- we assume that most of the 'setup' (creating clients and getting environment variables) will happen in the file containing the handler.
This a temporary limitation. The plan is to scan other files and add their config as well.

##### Node


##### Go


### Project Structure

There are three main parts to this project
- reader: contains files that help with reading the files in the project. The `` class reads an individual file and retrieves
resources and other configuration information. Because files will look very different depending on the language, it uses the strategy pattern
to aid in these language-specific tasks. For example, when dealing with Python, the `PythonStrategy` class is used.
- middleware: these files and functions take the information from the read side and do transforms, adding/removing certain config, before this is
passed to the writers.
- writer: these files are responsible for writing the information to yaml.

Besides these folders, there is a util folder, the `` file which coordinates the work of the other files and the ``,
which contains the argument parser and calls the coordinator.

### Tests

Unit tests can be run with `python -m unittest`. A relatively simple it-test is run with the bash script `` under tests/it-test.
It requires a bucket as argument (for uploading the lambda zip) and [default AWS credentials][3].


### Planned improvements

* Installation via pip!
* Languages
* Node
* Go
* Java
* Ask questions. See you call dynamo, add to template? generate outputs? how many buckets for events? deploy template? use 'middleware' for this
* Scan other files in the lambda folder, maybe follow imports/requires/...
* Generate requirements.txt for python projects
* Relative location of project
* Config option: set memory/timeout on individual lambdas vs globally
* Option to specify which kind of folders in project contain lambdas

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