Fake Devicedb

Fake for Seam Devicedb. Use with Fake Seam Connect.

Description

This module allows you to spin up an in-memory server for the Seam Devicedb.

📓 Notes

Text Search

Full-text search on real devicedb API (using the ?text_search parameter) is far more flexible than the simple matching provided by this fake.

Seeding with Data

This fake can be seeded with data from the API. To do so, either call POST /_fake/seed_from_api or use the exported helper:

import axios from "axios"
import { createFake, seedDatabaseFromApi } from "@seamapi/fake-devicedb"

const fake = createFake()

const client = axios.create({
  baseURL: "https://devicedb.seam.tube",
  headers: {
    "x-vercel-protection-bypass": "<secret>",
  },
})

await seedDatabaseFromApi(fake.database, client)

Images

There is a single bundled image available for testing. To test with more images, populate the database using the method described above. The image_ids in the fake database will then point to image_ids from the live API and requests to the fake's /images/view endpoint will proxy through to the live API.

Installation

Add this as a dependency to your project using npm with

$ npm install @seamapi/fake-devicedb

Development and Testing

Quickstart

$ git clone https://github.com/seamapi/fake-devicedb.git
$ cd fake-devicedb
$ nvm install
$ npm install
$ npm run test:watch

Primary development tasks are defined under scripts in package.json and available via npm run. View them with

$ npm run

Source code

The source code is hosted on GitHub. Clone the project with

$ git clone [email protected]:seamapi/fake-devicedb.git

Requirements

You will need Node.js with npm and a Node.js debugging client.

Be sure that all commands run under the correct Node version, e.g., if using nvm, install the correct version with

$ nvm install

Set the active version for each shell session with

$ nvm use

Install the development dependencies with

$ npm install

Publishing

Automatic

New versions are released automatically with semantic-release as long as commits follow the Angular Commit Message Conventions.

Manual

Publish a new version by triggering a version workflow_dispatch on GitHub Actions. The version input will be passed as the first argument to npm-version.

This may be done on the web or using the GitHub CLI with

$ gh workflow run version.yml --raw-field version=<version>

GitHub Actions

GitHub Actions should already be configured: this section is for reference only.

The following repository secrets must be set on GitHub Actions:

• NPM_TOKEN: npm token for installing and publishing packages.
• GH_TOKEN: A personal access token for the bot user with packages:write and contents:write permission.
• GIT_USER_NAME: The GitHub bot user's real name.
• GIT_USER_EMAIL: The GitHub bot user's email.
• GPG_PRIVATE_KEY: The GitHub bot user's GPG private key.
• GPG_PASSPHRASE: The GitHub bot user's GPG passphrase.

Contributing

If using squash merge, edit and ensure the commit message follows the Angular Commit Message Conventions specification. Otherwise, each individual commit must follow the Angular Commit Message Conventions specification.

1. Create your feature branch (git checkout -b my-new-feature).
2. Make changes.
3. Commit your changes (git commit -am 'Add some feature').
4. Push to the branch (git push origin my-new-feature).
5. Create a new draft pull request.
6. Ensure all checks pass.
7. Mark your pull request ready for review.
8. Wait for the required approval from the code owners.
9. Merge when ready.

License

This npm package is Copyright (c) 2021-2023 Seam Labs, Inc.

Warranty

This software is provided by the copyright holders and contributors "as is" and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the copyright holder or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage.