Resolves#79
This Pull Request completes the visual implementation of the premium **"Warm Paper / Soft Sepia"** light theme across all user dashboard sub-modules and components.
### 🎨 Styling Refactoring & Light Sepia Layout
We refactored isolated component styles (`.razor.css`) to ensure proper contrast, remove hardcoded dark tokens, and fix text visibility under the `.theme-light` environment:
1. **Dashboard & Sidebar Layouts:**
* **MainHubLayout.razor.css** & **Dashboard.razor.css**: Replaced hardcoded dark backgrounds with `var(--bg-surface)` and `var(--bg-base)`. Overrode user name brackets, progress bar elements, active quiz cards, graph nodes, and buttons.
2. **Catalog & Library Pages:**
* **Catalog.razor.css** & **MyBooks.razor.css**: Adjusted cover hover actions, overlay transparency, and progress tracks. Fixed course tile background gradients to use a warm, elegant `#e4e1d9` layer and `var(--text-main)` code text.
3. **Profile & Settings Views:**
* **Profile.razor.css** & **Settings.razor.css**: Overrode token usage progress tracks, page title gradient transparency, section descriptions, and diagnostic button styling.
4. **Concepts Dashboard & Interactive Widgets:**
* **ConceptsDashboard.razor.css** & **ConceptsMap.razor.css**: Transitioned node headers, unlocked/locked badges, warning blocks, and term pills to semantic colors. Removed neon glow animations for locked nodes.
5. **Intelligence Workspace & AI Responses:**
* **Intelligence.razor.css** & **AiResponseRenderer.razor.css**: Refactored empty state welcome messages, placeholder styles, input fields, and robot avatar borders. Refined the linear-gradient mask fade effect to blend correctly into the light sepia surface environment rather than dropping into dark transparent channels.
6. **Dashboard Sidebar Widgets:**
* **CurrentReadingWidget.razor.css** & **ContextualRecommendationsWidget.razor.css**: Replaced hardcoded `#1a1a1e` card containers and light text colors with semantic variables (`var(--bg-surface)`, `var(--border)`, `var(--text-main)`, and `var(--text-muted)`).
### 🛠️ Blazor CSS Isolation Compiler Compliance
* Avoided the use of `:global(.theme-light)` selector overrides within isolated CSS rules because they are unsupported by Blazor's CSS isolation compiler and cause the compiled stylesheet to ignore them.
* Replaced them with the correct standard selector format `.theme-light .some-class` which properly compiles to `.theme-light .some-class[b-xxxx]`, applying correct theme styles recursively to child scoped markup.
### 🧪 Verification
* Checked that the solution builds cleanly with 0 compiler errors: `dotnet build NexusReader.slnx --no-restore`
* Ran all unit tests successfully: `dotnet test NexusReader.slnx --no-restore`
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Co-authored-by: Marek Jasiński <jasins.marek@gmail.com>
Reviewed-on: #78
Co-authored-by: Antigravity <antigravity@google.com>
Co-committed-by: Antigravity <antigravity@google.com>
Resolves#75
### Description
This pull request implements a smart, Native AOT-compliant contextual recommendation engine for the desktop dashboard to drive user retention and cross-book monetization.
### Key Changes
1. **Application Layer**:
- Declared `IUserReadingStateStore` interface to decouple reading state discovery.
- Added `IVectorSearchStore.SearchGlobalExcludeAsync(...)` to abstract semantic similarity searches with exclusions.
- Defined `GetContextualRecommendationsQuery` and response DTOs (`ContextualRecommendationResponse`, `RecommendationDto`).
2. **Infrastructure Layer**:
- Implemented `UserReadingStateStore` using EF Core with DbContext pooling.
- Implemented `SearchGlobalExcludeAsync` in `VectorSearchStore` to construct gRPC Qdrant filters (excluding the active book ID) and fetch `bookTitle` and `chapterTitle` from point payloads.
- Implemented `GetContextualRecommendationsQueryHandler` using clean abstractions.
3. **Web & Serialization Layer**:
- Mapped `GET /api/recommendations` endpoint.
- Registered types in `AppJsonContext.cs` for AOT-compliant JSON serialization.
4. **Verification**:
- Added complete unit test coverage in `GetContextualRecommendationsQueryTests.cs`. All 30 unit tests pass.
---------
Co-authored-by: Marek Jasiński <jasins.marek@gmail.com>
Reviewed-on: #76
Co-authored-by: Antigravity <antigravity@google.com>
Co-committed-by: Antigravity <antigravity@google.com>
mjasin
Antigravity
Debian