sanctuary_queer_faker 0.1.0

A Dart package for generating realistic and inclusive test data, with a focus on LGBTQ+ identities.

sanctuary_queer_faker

A Dart package for generating realistic and inclusive test data, with a focus on LGBTQ+ identities.

This package helps you test your apps with a more representative set of user data, making it easier to build UIs and logic that respect and reflect the diversity of your users.

Features

Generate pronouns, gender identities, and sexual orientations.

Simple, intuitive API.

Powered by the community-sourced data in sanctuary_l10n_core.

Getting started

Add the package to your dev_dependencies in pubspec.yaml:

dev_dependencies: sanctuary_queer_faker: ^0.1.0

Usage

Import the package and create an instance of QueerFaker.

import 'package:sanctuary_queer_faker/sanctuary_queer_faker.dart';

void main() { // For repeatable tests, use a seed final faker = QueerFaker(seed: 123);

// Generate a random gender identity final gender = faker.gender.identity(); print(gender); // Possible output: "Agender"

// Generate a random sexual orientation final sexuality = faker.sexuality.orientation(); print(sexuality); // Possible output: "Lesbian"

// Generate a pronoun set final pronounSet = faker.pronoun.any();

// You can now use all parts of the pronoun set print(pronounSet.display); // "they/them" print(pronounSet.subjective); // "they" }

More Details

For Queer Devs, By Queer Devs You know the drill. You're building a new feature, you need some test data, and every single data faker gives you a list of cishet-sounding names with no concept of chosen names, pronouns, or anything that reflects our actual community.

sanctuary_queer_faker is a data generation tool built to fix that. It's a simple, no-nonsense package for populating your tests and mockups with data that actually looks like the people we're building for. It's built on top of the sanctuary_l10n_core vocabulary, so the data is community-sourced and respectful.

The API: What You Get

The goal is a simple and predictable API. Instantiate the faker and go.

QueerFaker Class

This is your main entry point.

Constructor: QueerFaker({int? seed})

seed: If you're writing tests that need to be repeatable (and you probably are), pass an int here. You'll get the same "random" data every time. Omit it for truly random data.

Generators

You access the generators directly from your faker instance.

faker.pronoun

any() -> PronounSet: Gets a random pronoun set. Crucially, this returns the full PronounSet object from the core package, not just a string like "they/them". This means you can immediately access pronounSet.subjective, pronounSet.objective, etc., which is what you actually need for building sentences and UI.

faker.gender

identity() -> String: Returns a random gender identity (e.g., "Genderqueer").

faker.sexuality

orientation() -> String: Returns a random sexual orientation (e.g., "Bisexual").

What You Can Do With It Now (v0.1)

Actually Test Your UI: Does your profile card break when a gender identity string is long? Can you build a sentence correctly using user.pronouns.reflexive? Now you can write a real test for it.

Seed Your Dev Database: Populate your local database with data that isn't just a sea of cishet defaults. This helps you catch bugs in filtering or display logic early.

Make Realistic Mocks: Give your designers and stakeholders mockups that use data reflecting a queer user base.

What It's Not (Yet)

Let's be real, this is v0.1. Here's what it doesn't do:

It's Not a Profile Generator: This is the big one. It generates individual data points, not a whole, logically consistent person. It won't give you a chosenName that matches a legalName or ensure a user's pronouns align with their identity. That's the goal for the next major version.

No Names, No Other Demographics: It's laser-focused on queer identity data. It won't generate names, ages, etc. You'll need another faker library for that (for now).

No Grammar Engine Integration: It only uses the SanctuaryVocabulary from the core package. It can't generate full sentences.

No Localization: The QueerFaker class doesn't take a locale yet. It only uses the default English data from the core package.