Superface Testing Library

This library enables easy testing of local Superface capabilities with SuperfaceTest class. It uses these capabilities either with live HTTP traffic or with recorded traffic (More about recording HTTP traffic in section recording).

Background
Install
Usage
Recording traffic
Support
Maintainers
Contributing
Licensing
License

Background

Superface (super-interface) is a higher-order API, an abstraction on top of the modern APIs like GraphQL and REST. Superface is one interface to discover, connect, and query any capabilities available via conventional APIs.

Through its focus on application-level semantics, Superface decouples the clients from servers, enabling fully autonomous evolution. As such it minimizes the code base as well as errors and downtimes while providing unmatched resiliency and redundancy.

Superface allows for switching capability providers without development at a runtime in milliseconds. Furthermore, Superface decentralizes the composition and aggregation, and thus creates an Autonomous Integration Mesh.

Motivation behind Superface is nicely described in this video from APIdays conference.

You can get more information at https://superface.ai and https://docs.superface.ai/.

Install

To install the package, run in the project directory:

# npm users
npm install -D @superfaceai/testing
# yarn users
yarn add -D @superfaceai/testing

Usage

To test Superface capabilities, initialize a new SuperfaceTest instance and call its method run() with test configuration and input specific for your test run. Test configuration should contain profile, provider and useCase. You can enter them either in string format (as ids of corresponding components) or as instances of corresponding components (more about them in One-SDK docs or in Comlink reference).

Initializing SuperfaceTest instance

import { SuperfaceTest } from '@superfaceai/testing';

without any arguments:

const superface = new SuperfaceTest();

with superface configuration:

const profile = await client.getProfile('profile');
const provider = await client.getProvider('provider');
const useCase = await profile.getUseCase('useCase');

const superface = new SuperfaceTest({
  profile,
  provider,
  useCase,
});

Given test configuration is stored in class and used later in run() method.

with superface and nock configuration:

const superface = new SuperfaceTest(
  {
    profile: 'profile',
    provider: 'provider',
    useCase: 'useCase',
  },
  {
    path: 'nock-recordings',
    fixture: 'my-recording',
    enableReqheadersRecording: true,
    testInstance: expect,
  }
);

Since it uses nock to record HTTP traffic during perform, second parameter in SuperfaceTest constructor is nock configuration containing path and fixture to configure location of recordings, property enableReqheadersRecording to enable/disable recording of request headers (This is turned off by default) and also property testInstance to enable testing library accessing current test names to generate unique hashes for recordings (currently supported only Jest and Mocha).

Running

To test your capabilities, use method run(), which encapsulates nock recording and BoundProfileProvider perform. It expects test configuration (similar to initializing SuperfaceTest class) and input. You don't need to specify profile, provider or useCase if you already specified them when initializing SuperfaceTest class.

import { SuperfaceTest } from '@superfaceai/testing';

const superface = new SuperfaceTest({
  profile: 'profile',
  provider: 'provider',
  useCase: 'useCase',
});

superface.run({
  input: {
    some: 'input',
  },
});

Example with jest:

import { SuperfaceTest } from '@superfaceai/testing';

describe('test', () => {
  let superface: SuperfaceTest;

  beforeAll(() => {
    superface = new SuperfaceTest({
      profile: 'profile',
      provider: 'provider',
      useCase: 'useCase',
    });
  });

  it('performs corretly', async () => {
    await expect(
      superface.run({
        input: {
          some: 'input',
        },
      })
    ).resolves.toMatchSnapshot();
  });
});

Method run() initializes BoundProfileProvider class, runs perform for given usecase and returns result or error value from perform (More about perform in One-SDK docs). Since testing library don't use SuperfaceClient anymore, it is limited to local use only.

OneSDK 2.0 does not contain parser anymore, so it looks for compiled files .ast.json next to original ones. To support this, parser was added to testing library and can be used to parse files when no AST is found.

Method run also have second parameter, containing parameters to setup processing of recordings described bellow in Recording. Only one parameter from this group processes result of method run and that is fullError. It enables method run to return full error from OneSDK instead of string.

superface.run(
  {
    profile: 'profile',
    provider: 'provider',
    useCase: 'useCase',
    input: {
      some: 'input',
    },
  },
  {
    fullError: true,
  }
);

You can then use this return value to test your capabilities (We recommend you to use jest snapshot testing as seen in example above).

Recording

Method run() also records HTTP traffic as we mentioned above and saves recorded traffic to json file. Before perform, library will decide to record HTTP traffic based on environmental variable SUPERFACE_LIVE_API and current test configuration.

Variable SUPERFACE_LIVE_API specifies configuration which needs to be matched to record HTTP traffic.

Its format is: <profile>:<provider>:<UseCase> where each component is optional and separated by :. It can start or/and end with wildcard *.

It will be then compared to current test configuration and start recording if they match.

For example in method run() bellow, to record HTTP traffic, SUPERFACE_LIVE_API has to be one of following:

profile:provider:useCase
* or *:*:*
*:*:useCase
*:provider

superface.run({
  profile: 'profile',
  provider: 'provider',
  useCase: 'useCase',
  input: {
    some: 'input',
  },
});

Testing library process recordings to hide sensitive information that might get recorded based on security schemes and integration parameters from provider.json and super.json. To turn this off, specify boolean processRecordings in second parameter for method run():

superface.run(
  {
    profile: 'profile',
    provider: 'provider',
    useCase: 'useCase',
    input: {
      some: 'input',
    },
  },
  {
    processRecordings: false,
  }
);

To hide sensitive information that are passed in method run() as input, you can use parameter hideInput to point to primitive values which will get replaced in recording fixture.

const pass = 'secret';

superface.run(
  {
    profile: 'profile',
    provider: 'provider',
    useCase: 'useCase',
    input: {
      auth: {
        username: 'user',
        password: pass,
      },
    },
  },
  {
    // value found have to be one of following: string, number or boolean
    hideInput: ['auth.value', 'auth.password'],
  }
);

You can also enter your own processing functions along side processRecordings parameter. Both have same function signature and are called either before load or before save of recordings (see this sequence diagram)

import { RecordingDefinitions, SuperfaceTest } from '@superfaceai/testing';

const beforeRecordingLoad = (definitions: RecordingDefinitions) => {
  definitions.forEach(def => {
    def.path = def.path.replace('PLACEHOLDER', process.env.YOUR_SECRET);
  });
};

const beforeRecordingSave = (definitions: RecordingDefinitions) => {
  definitions.forEach(def => {
    def.path = def.path.replace(process.env.YOUR_SECRET, 'PLACEHOLDER');
  });
};

const superface = new SuperfaceTest();

superface.run(
  {
    profile: 'profile',
    provider: 'provider',
    useCase: 'useCase',
    input: {
      some: 'input',
    },
  },
  {
    processRecordings: false,
    beforeRecordingSave,
    beforeRecordingLoad,
  }
);

If you want to differentiate between runs that are used for preparation or teardown of test environment in recordings, you can use parameter recordingsType and recordings for that run will be grouped in recordings file as prepare-profile/provider/useCase or teardown-profile/provider/useCase:

import { RecordingsType } from '@superfaceai/testing';

superface.run(
  {
    profile: 'profile',
    provider: 'provider',
    useCase: 'useCase',
    input: {
      some: 'input',
    },
  },
  {
    recordingsType: RecordingsType.PREPARE,
  }
);

Continuous testing

Testing library supports continuous testing with live provider's traffic. This means that you can run testing library in record mode without worrying that old recording of traffic gets rewritten. Testing library compares old recording with new one and determines changes. If it find changes, it will save new traffic next to old one with suffix -new.

This recording represents new traffic and you can test your capabilities with it. First time it records new traffic, it also uses it for map and therefore you can see if map works with it, but we can also setup environment variable USE_NEW_TRAFFIC=true to mock new traffic instead of old one when not in record mode (it looks for recording with suffix -new next to old one).

When you think the new recording is safe to use for testing, you can set it up as default with env variable UPDATE_TRAFFIC=true.

Reporting

To report found changes in traffic, you can implement your own function for reporting and pass it to SuperfaceTest.report(). It's signiture should be:

type TestReport = {
  impact: MatchImpact;
  profileId: string;
  providerName: string;
  useCaseName: string;
  recordingPath: string;
  input: NonPrimitive;
  result: TestingReturn;
  errors: ErrorCollection<string>;
}[];

type AlertFunction = (report: TestReport) => unknown | Promise<unknown>;

To disable collecting and also reporting these information, you can setup environment variable DISABLE_PROVIDER_CHANGES_COVERAGE=true.

Debug

You can use enviroment variable DEBUG to enable logging throughout testing process.

DEBUG="superface:testing*" will enable all logging
DEBUG="superface:testing" will enable logging of:
- perform results
- start and end of recording/mocking HTTP traffic
- start of beforeRecordingLoad and beforeRecordingSave functions
DEBUG=superface:testing:setup* will enable logging of:
- setup of recording paths and superface components (profile, provider, usecase)
- setup of super.json and local map
DEBUG=superface:testing:hash* will enable logging of hashing recordings
DEBUG="superface:testing:recordings" will enable logging of processing sensitive information in recordings
DEBUG="superface:testing:recordings*" or DEBUG="superface:testing:recordings:sensitive" will also enable logging of replacing actual credentials
DEBUG=superface:testing:matching* enables logging of matching recordings
DEBUG=superface:testing:reporter* enables logging of reporting

You can encounter NetworkError or SdkExecutionError during testing with mocked traffic, it usually means that request didn’t get through. If nock (used for loading mocked traffic) can’t match recording, request is denied. You can debug nock matching of recordings with DEBUG=nock* to see what went wrong.

Known Limitations

Multiple matching requests for the same use case

Recordings make it possible to run tests without calling the live API. This works by trying to match a request to the requests in the existing recordings. If a match is found, the recorded response is returned. However, since the testing client saves recording for each test run in a single file, it means multiple matching requests for the same use-case and input will overwrite each other.

To solve this, you can enter test instance (expect from jest) or specify custom hash phrase to differentiate between runs. Also a workaround is to use different inputs for each each test.

Support

If you need any additional support, have any questions or you just want to talk you can do that through our support page.

Maintainers

@Martin Albert

Contributing

Please open an issue first if you want to make larger changes

Feel free to contribute! Please follow the Contribution Guide.

Licensing

Licenses of node_modules are checked during push CI/CD for every commit. Only the following licenses are allowed:

0BDS
MIT
Apache-2.0
ISC
BSD-3-Clause
BSD-2-Clause
CC-BY-4.0
CC-BY-3.0;BSD
CC0-1.0
Unlicense

@superfaceai/testing

Superface Testing Library

Table of Contents

Background

Install

Usage

Initializing SuperfaceTest instance

Running

Recording

Continuous testing

Reporting

Debug

Known Limitations

Multiple matching requests for the same use case

Support

Maintainers

Contributing

Licensing

License

Readme

Keywords

Package Sidebar

Install

Weekly Downloads

Version

License

Unpacked Size

Total Files

Last publish

Collaborators

@superfaceai/testing

Superface Testing Library

Table of Contents

Background

Install

Usage

Initializing SuperfaceTest instance

Running

Recording

Continuous testing

Reporting

Debug

Known Limitations

Multiple matching requests for the same use case

Support

Maintainers

Contributing

Licensing

License

Readme

Keywords

Package Sidebar

Install

DownloadsWeekly Downloads

Version

License

Unpacked Size

Total Files

Last publish

Collaborators

Weekly Downloads