@gooddata/sdk-backend-bear NPM

Analytical Backend SPI implementation for the GoodData Platform

Testing

The testing strategy for the Bear backend consists of two parts and is designed to make testing efficient - taking into the account the nature of the code: the bear backend is essentially a mapper to and from API requests and responses. It is tightly coupled with the backend implementation and there are many functions and methods that either interface directly with the client or work with complex structures returned by the client.

In this context, any efforts to manually write and maintain test fixtures and mocks would mean painful effort full of mindless repetitive tasks.

Unit tests

Use unit tests and typical means to create test fixtures for any crucial algorithms and functions that do not require interaction with the backend and do not require mocking of server responses. Factor the important code into such functions.

A good example for this are the tests for the toAfmResultSpec code - this particular conversion logic works with simple types that are easy to mock.

In other words, use unit tests to verify that code sends correct requests to the backend.

Integrated Tests

Use integrated tests to where mocking responses would be impractical. The integrated tests use Wiremock standalone server to create and serve data recorded from the live backend. With this in place, you can focus on writing just the tests and let the infrastructure handle the rest for you.

Use the integrated tests to verify code that transforms responses into domain objects as defined by the backend SPI and for end-to-end verification of use cases exposed via the SPI.

On use of Jest snapshots

When asserting that the conversion results match the expectations, use Jest snapshots instead of hardcoded objects. Let the machine generate the right side of the equation > verify the snapshot > commit. This is all about efficiency, don't spend time writing same thing that the infrastructure can create automatically.

Wiremock and Integrated tests

This project uses Wiremock in standalone mode to create and serve recordings of API interactions. Wiremock runs inside a Docker container. There is scripting support in tests/wiremock and several of NPM scripts in the package.json.

The scripts in package.json 'orchestrate' the typical tasks end to end - you should use these most of the time:

integrated-test - runs integrated tests in watch mode, tests work only with the recordings and are completely offline; this is useful you are adding new tests on top of existing SPI invocations
refresh-recordings - cleans up all the recordings, then runs all the integrated tests with the Wiremock server set up to record all interactions. Once done, the server is stopped and recordings flushed to disk.

The test script runs just the unit tests located in the src directory. This is by choice - the integrated tests require an additional setup and node environment monkey-patching.

The test-once and test-ci scripts run both unit tests and integrated tests.

Refreshing recordings

You can do this by running the refresh-recordings script. This will run all tests in all the integrated test suites sequentially while the Wiremock will be running in recording mode, proxying calls to the live backend.

To obtain authentication credentials, integrated test backend uses dotenv which will load .env file with the credentials. You must create the env file (ideally in this directory) and specify credentials using the GD_USERNAME and GD_PASSWORD environment variables.

The .env file is included in the .gitignore. Recordings of login and token resources are both deleted and also included in the .gitignore file

Note: you do not need the .env file if you are just running the tests.

Writing tests

Writing integrated tests is Jest business as usual. However focus on blackbox testing and exercise the different SPI methods and make assertions. You can obtain an instance of IAnalyticalBackend implemented by bear by using the testBackend function.

It is important to remember, that all test suites (test files) must include explicit authentication against the bear backend - using the backend.authenticate(true). Without this, the authentication will be triggered after the first 401 response from the backend -> and this response will be recorded -> the recordings are then harder to reason about and debug.

Here is snippet to include in the new test suites:

import { testBackend } from "./backend";
const backend = testBackend();

beforeAll(async () => {
    await backend.authenticate(true);
});

// your tests

Note: the authenticate call is noop when integrated tests run against recordings

License

This project is under MIT License. See LICENSE.

date-fns http-status-codes json-stable-stringify lodash spark-md5 ts-invariant tslib uuid @gooddata/api-client-bear @gooddata/api-model-bear @gooddata/sdk-backend-base @gooddata/sdk-backend-spi @gooddata/sdk-model @gooddata/sdk-embedding

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