A production-quality .NET MAUI reference application for Canada's Wonderland that delivers real-time ride wait times, AI-powered park assistance, GPS-based parking, meal-time tracking, and intelligent background notifications — all built on the Shiny ecosystem.
Live ride data is sourced from ThemeParks.wiki.
Note
This app is under active development and serves as both a functional park companion and a living showcase for best practices across the Shiny .NET libraries.
- Real-Time Ride Wait Times — View current standby and paid wait times for every ride, with distance-based sorting when inside the park
- Interactive Map — Browse ride locations on a native map with live wait-time pins
- AI Assistant — Voice-driven AI assistant powered by Microsoft.Extensions.AI with animated phase feedback (listening, thinking, speaking)
- Parking Locator — Save your parking location via GPS, capture a photo of your spot with zoomable image viewer, and clear it when you leave
- Meal-Time Tracking — Track food and drink pass usage with countdown timers
- Park Hours — View daily hours of operation at a glance
- Ride History — Log rides you've been on and review your history across visits
- Smart Caching — Cross-session persistent caching keeps the app functional when connectivity drops
- Background Notifications — GPS-driven alerts when ride wait times drop, geofence reminders on park entry/exit, and automatic GPS shutdown outside the park to save battery
- Light & Dark Mode — Fully themed UI across all screens
| Ride Times | Map | AI Assistant |
|---|---|---|
 |
 |
 |
| Parking | Meal Times | Settings |
|---|---|---|
 |
 |
 |
| Library | Description | Links |
|---|---|---|
| Shiny.Mediator.Maui | In-process mediator with middleware pipeline, caching, offline support, and MAUI lifecycle integration | GitHub · Docs |
| Shiny.Locations | Background GPS tracking and geofencing with automatic lifecycle management | GitHub · Docs |
| Shiny.Jobs | Periodic background jobs that survive app restarts | GitHub · Docs |
| Shiny.Notifications | Cross-platform local notifications | GitHub · Docs |
| Shiny.Extensions.Configuration | Mobile-friendly appsettings.json for Microsoft.Extensions.Configuration |
GitHub · Docs |
| Shiny.Maui.Shell | Strongly-typed Shell navigation with ViewModel lifecycle and route source generation | GitHub |
| Shiny.Maui.Controls | MAUI controls including zoomable ImageViewer and floating panels |
GitHub |
| Shiny.Extensions.MauiHosting | Streamlined DI registration and saved-state helpers | GitHub |
| Shiny.Extensions.Localization.Generator | Source generator for strongly-typed IStringLocalizer access |
GitHub |
| Shiny.DocumentDb.Sqlite | Lightweight SQLite-backed document store for local persistence | GitHub |
| Shiny.Reflector | Source-generated reflection metadata for settings and configuration binding | GitHub |
| Microsoft.Extensions.AI | Unified AI abstraction layer for model integration | Docs |
| Microsoft.Extensions.AI.OpenAI | OpenAI provider for Microsoft.Extensions.AI | NuGet |
| CommunityToolkit.Maui | Essential MAUI controls, converters, and behaviors | GitHub · Docs |
| CommunityToolkit.Mvvm | Source-generated MVVM infrastructure (ObservableProperty, RelayCommand) |
GitHub · Docs |
| Sentry.Maui | Crash reporting and performance monitoring | GitHub · Docs |
| Microsoft.Maui.Controls.Maps | Native map controls for iOS, Android, and Mac Catalyst | Docs |
| Library | Description | Links |
|---|---|---|
| Redth.MauiDevFlow.Agent | In-app agent for UI automation, visual tree inspection, and CLI-driven testing | GitHub |
| TUnit | Modern .NET test framework with source-generated test discovery | GitHub |
| Shouldly | Human-readable assertion library | GitHub |
| Imposter | Lightweight HTTP mocking for integration tests | NuGet |
Source-Generated HTTP Client — The ThemeParks.wiki API client is generated at compile time from the OpenAPI spec via Shiny Mediator:
<MediatorHttp Include="OpenApiRemote"
Uri="https://api.themeparks.wiki/docs/v1.yaml"
Namespace="ShinyWonderland.ThemeParksApi"
ContractPostfix="HttpRequest"
Visible="false" />Mediator-Driven Architecture — All data calls, GPS events, connectivity changes, and AI interactions flow through Shiny Mediator. Caching, offline support, and error handling are applied via middleware configuration in appsettings.json — no manual wiring required.
Composable ViewModel Services — Shared services (navigation, dialogs, mediator, localization) are bundled into ViewModelServices to reduce constructor injection noise across ViewModels.
- Open
themepark.httpand run the ALL PARKS endpoint - Find your park's
entityIdand coordinates - Update
appsettings.jsonwith those values - Build and run
- .NET 10 SDK
- Xcode 26+ (iOS/Mac Catalyst) or Android SDK 36+ (Android)
This project includes automated UI tests powered by MauiDevFlow.
# Install the CLI
dotnet tool install --global Redth.MauiDevFlow.CLI
# Boot simulator & deploy
xcrun simctl boot <UDID>
dotnet build src/ShinyWonderland/ShinyWonderland.csproj -f net10.0-ios -t:Run -p:_DeviceName=:v2:udid=<UDID>
# Wait for agent & run tests
maui devflow wait
dotnet test tests/ShinyWonderland.UITests/The test suite covers startup, tab navigation, ride times, map, settings, parking, meal times, hours, and ride history.
- Android maps require manual API key configuration
- ThemeParks API may return data when the park is closed
Can I run this for a different park?
Yes — find your park via the ThemeParks.wiki API, copy the entityId and coordinates into appsettings.json, and you're set.
Why route GPS, connectivity, and data refreshes through Mediator? Mediator handles subscription lifecycle automatically — no manual event hookup or cleanup. Everything is managed with near-zero boilerplate.
Why use Mediator for data calls? Mediator enables persistent caching, offline fallback, and middleware pipelines through configuration alone — no service layers or DI complexity.