README

fauna-test-setup

A package for setting up Fauna Dev servers with minimal hassel.

yarn add --dev https://github.com/concentricio/fauna-test-setup

FaunaTestDb()
teardown()

Motivation

The process of setting up Fauna Dev servers to test Fauna logic can be cumbersome and detached from the actual development of test suites. This package automates test server setup, so you can do it inline and in a single line.

const testDb = await FaunaTestDb();

Besides this package, you only need to make sure you have Docker installed and running.

`FaunaTestDb()`

You can create a database and test against it without any additional setup:

import {FaunaTestDB} from "fauna-test-setup";

// Jest example
describe("Basic functionality", ()=>{
        test("Addition", async ()=>{

            const {
                client
            } = await FaunaTestDb();
    
            const result = await client.query(Add(2, 2));
            expect(result).toBe(4)

        }, 5000)
})

Automation

If needed, FaunaTestDb() will automatically...

pull the fauna/faunadb Docker image,
deploy a container with the fauna/faunadb Docker image,
create a Fauna endpoint and forward it to the desired port,
create a test database.

Reuse

By default, FaunaTestDb() will...

reuse Docker containers running with the fauna/faunadb image,
reuse endpoints deployed on the desired port,
NOT reuse previous test databases.

`teardown()`

fauna-test-setup will NOT automatically tear down your testing environment. However, a teardown() method is provided.

import {teardown} from "fauna-test-setup";
// Jest example
afterAll(async ()=>{
  await teardown();
})

Default

By default, teardown() will...

delete any test databases used within the running of the application.

Additional

teardown() can additionally be configured to...

delete databases used without the context of the application,
delete Fauna endpoints within or without the context of the application,
remove fauna/faunadb Docker containers within or without the context of the application.

Docs

From within the package directory, yarn run docs.

Usage no npm install needed!