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scrubber-lib's Introduction

@naturalcycles/scrubber-lib

Scrub data in JavaScript plain objects by using rules defined in a configuration object

npm Maintainability Test Coverage code style: prettier

How to use

Install it:

yarn add -D @naturalcycles/scrubber-lib

Define a scrubber configuration object:

import { ScrubberConfig, Scrubber } from '@naturalcycles/scrubber-lib'

const cfg: ScrubberConfig = {
  fields: {
    name: {
      scrubber: 'staticScrubber',
      params: {
        replacement: 'John Doe',
      },
    },
    password: {
      scrubber: 'undefinedScrubber',
    },
  },
  throwOnError: true, // default: false,
  preserveFalsy: false, // default: true
}

Scrub a single object:

const object = { name: 'Real Name', password: 'secret' }

const scrubber = new Scrubber(cfg)
const scrubbedObject = scrubber.scrub(object)

// scrubbedObject =  name: 'John Doe', password: undefined }

Scrub an array of objects:

const objects = [object1, object2, object3]

const scrubbedObjects = scrubber.scrub(objects)

Public API

constructor (private cfg: ScrubberConfig, additionalScrubbersImpl?: ScrubbersImpl)
scrub<T> (data: T): T

Features

  • Objects are deep traversed
  • Immutable changes (does not mutate the original object)
  • TypeScript library, compatible both on browsers and NodeJS
  • Fields are scrubbed if object keys match the field names on the configuration file
  • Provides a few built-in scrubber functions
  • Allows additional scrubber functions
  • Validates config object on class initialization to ensure all defined scrubber functions exist
  • Supports field names to be comma-separated on configuration file
  • Error handling: all errors are logged and allows a cfg.throwOnError optional configuration to re-throw errors
  • Falsy values: allows a cfg.preserveFalsy optional configuration to control if falsy values should be preserved or passed to scrubber functions. When inspecting scrubbed objects for debugging purposes, it might be useful to set it to true to identify potential interesting fields
  • [since 2.9] - support matching key only if parent key name(s) also match. Supported using dots . in key name. Config with key a.b will match object key literally AND it will match object key b if parent object key was a. Works at arbitrary depth. LIMITATION: parent matching currently assumes final key (b) is unique. If multiple parent references end with the same key (e.g. a.b & c.b), only last one will work.

Limitations

  • Objects of types Map, Set and Buffer are currently not traversed or modified

Vocabulary

The scrubber-lib supports a ScrubberConfig parameter on initialization which is usually defined by clients on a scrubber configuration file (YAML or JSON) with multiple scrubbing profiles (such as anonymization, pseudonymization, etc).

The library applies scrubber functions to the given objects. It provides some built-in scrubber functions while also allowing custom scrubber functions implementations.

Possible use cases

Allows, for example, removal of sensitive data for:

  • Logs
  • Error reporting to third-party services
  • Data exports (such as staging or other data exports)
  • Anonymizing production users (GDPR "right to be forgotten")

scrubber-lib's People

Contributors

dependabot[bot] avatar fernandobrito avatar flo-monin avatar kirillgroshkov avatar kribor avatar semantic-release-bot avatar

Stargazers

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scrubber-lib's Issues

created_at and updated_at are scrubbed away

This is my data

{
  "created_at": "2020-06-09T07:51:58.000Z",
  "password": "abcd",
  "secret": "secret",
  "project_id": 1,
  "updated_at": "2020-06-09T07:51:58.000Z"
}

When I try to use this config

const scrubberConfig = {
  fields: {
    password: {
      scrubber: "staticScrubber",
      params: {
        replacement: "***"
      }
    },
    secret: {
      scrubber: "staticScrubber",
      params: {
        replacement: "***"
      }
    }
  },
  throwOnError: true, // default: false,
  preserveFalsy: false // default: true
};

It does scrubber the secrets, but the created_at and updated_at will become to {}

{
  "created_at": {},
  "password": "***",
  "secret": "***",
  "project_id": 1,
  "updated_at": {}
}

The automated release is failing 🚨

🚨 The automated release from the master branch failed. 🚨

I recommend you give this issue a high priority, so other packages depending on you can benefit from your bug fixes and new features again.

You can find below the list of errors reported by semantic-release. Each one of them has to be resolved in order to automatically publish your package. I’m sure you can fix this πŸ’ͺ.

Errors are usually caused by a misconfiguration or an authentication problem. With each error reported below you will find explanation and guidance to help you to resolve it.

Once all the errors are resolved, semantic-release will release your package the next time you push a commit to the master branch. You can also manually restart the failed CI job that runs semantic-release.

If you are not sure how to resolve this, here are some links that can help you:

If those don’t help, or if this issue is reporting something you think isn’t right, you can always ask the humans behind semantic-release.


Invalid npm token.

The npm token configured in the NPM_TOKEN environment variable must be a valid token allowing to publish to the registry https://registry.npmjs.org/.

If you are using Two Factor Authentication for your account, set its level to "Authorization only" in your account settings. semantic-release cannot publish with the default "
Authorization and writes" level.

Please make sure to set the NPM_TOKEN environment variable in your CI with the exact value of the npm token.


Good luck with your project ✨

Your semantic-release bot πŸ“¦πŸš€

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