diff --git a/.wolf/anatomy.md b/.wolf/anatomy.md index fffbf5e..39e2c49 100644 --- a/.wolf/anatomy.md +++ b/.wolf/anatomy.md @@ -1,15 +1,13 @@ # anatomy.md -> Auto-maintained by OpenWolf. Last scanned: 2026-04-22T11:51:47.391Z -> Files: 10 tracked | Anatomy hits: 0 | Misses: 0 +> Auto-maintained by OpenWolf. Last scanned: 2026-04-23T02:34:17.587Z +> Files: 11 tracked | Anatomy hits: 0 | Misses: 0 ## ../../Users/Fuji Nguyen/.claude/plans/ ## ../../Users/Fuji Nguyen/.claude/projects/c--apps-AngularNetTutotial/memory/ -- `MEMORY.md` — Memory Index (~122 tok) -- `project_blog_image_paths.md` — Screenshot catalog (~789 tok) ## ./ @@ -398,12 +396,28 @@ ## ApiResources/TalentManagement-API/.nuget/packages/microsoft.codeanalysis.analyzers/3.11.0/buildTransitive/config/ +## ApiResources/TalentManagement-API/TalentManagementAPI.Infrastructure.Shared/ + + +## ApiResources/TalentManagement-API/TalentManagementAPI.Infrastructure.Shared/Services/ + + +## ApiResources/TalentManagement-API/TalentManagementAPI.Infrastructure.Tests/Services/ + + +## ApiResources/TalentManagement-API/TalentManagementAPI.WebApi.Tests/Controllers/ + + ## Clients/TalentManagement-Angular-Material/talent-management/public/data/ ## Clients/TalentManagement-Angular-Material/talent-management/src/ +## Clients/TalentManagement-Angular-Material/talent-management/src/app/ + +- `app.routes.ts` — Exports routes (~1443 tok) + ## Clients/TalentManagement-Angular-Material/talent-management/src/app/routes/ai/ai-assistant/ @@ -418,14 +432,19 @@ ## Tests/AngularNetTutorial-Playwright/tests/screenshots/ +- `blog-screenshots.spec.ts` — Blog Screenshots (~10494 tok) + +## blogs/ + +- `SERIES-NAVIGATION-TOC.md` — AngularNetTutorial — Series Navigation (~1927 tok) ## blogs/series-6-ai-app-features/ -- `6.1-dotnet-ai-foundation.md` — Run a Local LLM in Your .NET 10 API with Ollama (~5574 tok) -- `6.2-dotnet-ai-hr-assistant.md` — Build an HR AI Assistant That Knows Your Data (~4773 tok) -- `6.3-angular-ai-chat-widget.md` — Build a Dedicated AI Section in Angular with Submenu Navigation (~5312 tok) -- `6.4-angular-ai-nl-search.md` — Natural Language Employee Search in Angular Material (~4924 tok) -- `6.4.1-dotnet-natural-language-search.md` — Natural Language Employee Search with LLM Query Parsing (~7418 tok) -- `6.5-angular-ai-vector-search.md` — Semantic Position Search with Vector Embeddings in Angular Material (~4193 tok) -- `6.6-dotnet-ai-response-caching.md` — Cache Your AI Responses: Save Time and API Costs (~4256 tok) -- `6.7-dotnet-mssql-vector-search.md` — Semantic Position Search with SQL Server Native Vector Search (~6690 tok) +- `6.1-dotnet-ai-foundation.md` — Run a Local LLM in Your .NET 10 API with Ollama (~6391 tok) +- `6.2-dotnet-ai-hr-assistant.md` — Build an HR AI Assistant That Knows Your Data (~4920 tok) +- `6.3-angular-ai-chat-widget.md` — Build a Dedicated AI Section in Angular with Submenu Navigation (~4967 tok) +- `6.4-angular-ai-nl-search.md` — Natural Language Employee Search in Angular Material (~4897 tok) +- `6.4.1-dotnet-natural-language-search.md` — Natural Language Employee Search with LLM Query Parsing (~7263 tok) +- `6.5-angular-ai-vector-search.md` — Semantic Position Search with Vector Embeddings in Angular Material (~4180 tok) +- `6.6-dotnet-ai-response-caching.md` — Cache Your AI Responses: Save Time and API Costs (~4185 tok) +- `6.7-dotnet-mssql-vector-search.md` — Semantic Position Search with SQL Server Native Vector Search (~6594 tok) diff --git a/.wolf/buglog.json b/.wolf/buglog.json index f2720bf..cfb5c29 100644 --- a/.wolf/buglog.json +++ b/.wolf/buglog.json @@ -176,6 +176,166 @@ "related_bugs": [], "occurrences": 2, "last_seen": "2026-04-22T11:48:18.706Z" + }, + { + "id": "bug-012", + "timestamp": "2026-04-22T14:07:06.877Z", + "error_message": "Incorrect value in code", + "file": "ApiResources/TalentManagement-API/TalentManagementAPI.Infrastructure.Shared/TalentManagementAPI.Infrastructure.Shared.csproj", + "root_cause": "Had \"OllamaSharp\"", + "fix": "Changed to \"Microsoft.Extensions.AI\"", + "tags": [ + "auto-detected", + "wrong-value", + "csproj" + ], + "related_bugs": [], + "occurrences": 2, + "last_seen": "2026-04-22T14:07:32.511Z" + }, + { + "id": "bug-013", + "timestamp": "2026-04-22T14:14:23.091Z", + "error_message": "Incorrect value in code", + "file": "ApiResources/TalentManagement-API/TalentManagementAPI.Infrastructure.Shared/TalentManagementAPI.Infrastructure.Shared.csproj", + "root_cause": "Had \"Microsoft.Extensions.AI\"", + "fix": "Changed to \"Microsoft.Extensions.AI.Abstractions\"", + "tags": [ + "auto-detected", + "wrong-value", + "csproj" + ], + "related_bugs": [], + "occurrences": 1, + "last_seen": "2026-04-22T14:14:23.091Z" + }, + { + "id": "bug-014", + "timestamp": "2026-04-22T18:13:22.809Z", + "error_message": "Significant refactor of ", + "file": "blogs/series-6-ai-app-features/6.1-dotnet-ai-foundation.md", + "root_cause": "3 lines replaced/restructured", + "fix": "Rewrote 7→9 lines (3 removed) | Also: Add OllamaSharp to the Infrastructure.Shared proje; **Why OllamaSharp instead of `Microsoft.Extensions | Also: In `Infrastructure.Shared/ServiceRegistration.cs`,; // Register the Ollama client as a singleton — one | Also: OllamaSharp's native `IAsyncEnumerable<>` streamin; The custom `IAiChatService` interface pattern is t", + "tags": [ + "auto-detected", + "refactor", + "md" + ], + "related_bugs": [], + "occurrences": 4, + "last_seen": "2026-04-22T18:14:46.417Z" + }, + { + "id": "bug-015", + "timestamp": "2026-04-22T18:15:05.533Z", + "error_message": "Incorrect value in code", + "file": "blogs/series-6-ai-app-features/6.1-dotnet-ai-foundation.md", + "root_cause": "Had `404`", + "fix": "Changed to `503 Service Unavailable`", + "tags": [ + "auto-detected", + "wrong-value", + "md" + ], + "related_bugs": [], + "occurrences": 1, + "last_seen": "2026-04-22T18:15:05.533Z" + }, + { + "id": "bug-016", + "timestamp": "2026-04-22T18:52:28.062Z", + "error_message": "Incorrect value in code", + "file": "Tests/AngularNetTutorial-Playwright/tests/screenshots/blog-screenshots.spec.ts", + "root_cause": "Had 'screenshots-output'", + "fix": "Changed to '..'", + "tags": [ + "auto-detected", + "wrong-value", + "ts" + ], + "related_bugs": [], + "occurrences": 3, + "last_seen": "2026-04-22T18:53:34.248Z" + }, + { + "id": "bug-017", + "timestamp": "2026-04-22T18:56:28.261Z", + "error_message": "Wrong reference: images should be screenshots", + "file": "Tests/AngularNetTutorial-Playwright/tests/screenshots/blog-screenshots.spec.ts", + "root_cause": "Used \"images\" instead of \"screenshots\"", + "fix": "Changed images → screenshots", + "tags": [ + "auto-detected", + "wrong-reference", + "ts" + ], + "related_bugs": [], + "occurrences": 2, + "last_seen": "2026-04-22T18:56:42.804Z" + }, + { + "id": "bug-018", + "timestamp": "2026-04-22T18:56:38.182Z", + "error_message": "Wrong reference: images should be screenshots", + "file": "blogs/series-6-ai-app-features/6.1-dotnet-ai-foundation.md", + "root_cause": "Used \"images\" instead of \"screenshots\"", + "fix": "Changed images → screenshots", + "tags": [ + "auto-detected", + "wrong-reference", + "md" + ], + "related_bugs": [], + "occurrences": 1, + "last_seen": "2026-04-22T18:56:38.182Z" + }, + { + "id": "bug-019", + "timestamp": "2026-04-22T20:34:48.779Z", + "error_message": "Significant refactor of ", + "file": "blogs/SERIES-NAVIGATION-TOC.md", + "root_cause": "3 lines replaced/restructured", + "fix": "Rewrote 8→10 lines (3 removed)", + "tags": [ + "auto-detected", + "refactor", + "md" + ], + "related_bugs": [], + "occurrences": 1, + "last_seen": "2026-04-22T20:34:48.779Z" + }, + { + "id": "bug-020", + "timestamp": "2026-04-23T02:33:32.404Z", + "error_message": "Incorrect value in code", + "file": "Clients/TalentManagement-Angular-Material/talent-management/src/app/app.routes.ts", + "root_cause": "Had 'ai-chat'", + "fix": "Changed to '403'", + "tags": [ + "auto-detected", + "wrong-value", + "ts" + ], + "related_bugs": [], + "occurrences": 1, + "last_seen": "2026-04-23T02:33:32.404Z" + }, + { + "id": "bug-021", + "timestamp": "2026-04-23T02:34:00.669Z", + "error_message": "Incorrect value in code", + "file": 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blogs/series-6-ai-app-features/6.6-dotnet-ai-response-caching.md | 3→5 lines | ~79 | +| 16:28 | Edited blogs/series-6-ai-app-features/6.7-dotnet-mssql-vector-search.md | 1→3 lines | ~75 | +| 16:29 | Edited blogs/series-6-ai-app-features/6.7-dotnet-mssql-vector-search.md | 3→5 lines | ~84 | +| 16:29 | Session end: 36 writes across 8 files (6.1-dotnet-ai-foundation.md, blog-screenshots.spec.ts, 6.2-dotnet-ai-hr-assistant.md, 6.4-angular-ai-nl-search.md, 6.4.1-dotnet-natural-language-search.md) | 9 reads | ~32591 tok | +| 16:30 | Session end: 36 writes across 8 files (6.1-dotnet-ai-foundation.md, blog-screenshots.spec.ts, 6.2-dotnet-ai-hr-assistant.md, 6.4-angular-ai-nl-search.md, 6.4.1-dotnet-natural-language-search.md) | 9 reads | ~32591 tok | +| 16:34 | Session end: 36 writes across 8 files (6.1-dotnet-ai-foundation.md, blog-screenshots.spec.ts, 6.2-dotnet-ai-hr-assistant.md, 6.4-angular-ai-nl-search.md, 6.4.1-dotnet-natural-language-search.md) | 9 reads | ~32591 tok | +| 16:34 | 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a25e8596381ec3c9cdaffeb631c9f36475fc5c6f diff --git a/Tests/AngularNetTutorial-Playwright b/Tests/AngularNetTutorial-Playwright index d55233e..786b8fa 160000 --- a/Tests/AngularNetTutorial-Playwright +++ b/Tests/AngularNetTutorial-Playwright @@ -1 +1 @@ -Subproject commit d55233eaea478f8a1bf14cb314e6811a9d2adc77 +Subproject commit 786b8fa0c492f66278dcd8524680c24159aa537f diff --git a/blogs/AI-ENHANCEMENT-SERIES-PLAN.md b/blogs/AI-ENHANCEMENT-SERIES-PLAN.md deleted file mode 100644 index cdd0a16..0000000 --- a/blogs/AI-ENHANCEMENT-SERIES-PLAN.md +++ /dev/null @@ -1,301 +0,0 @@ -# AI Enhancement Tutorial — Series 6 & 7 - -> Update the checklist below as each article is completed. - -## Context - -The existing AngularNetTutorial (Series 0–5, 22 articles) covers the full CAT stack (Angular 20 + .NET 10 + Duende IdentityServer) but has zero AI content. Developers need practical, working examples of how to add AI to a real production-style app — not toy demos. - -**Decisions:** -* **AI Provider:** Ollama (free, local, no API key required) via Microsoft.Extensions.AI abstraction -* **Series 6** — AI App Features (AI capabilities for end users of the TalentManagement app) -* **Series 7** — Developer Productivity AI (AI tools for building faster) - -**Why Ollama + Microsoft.Extensions.AI:** -* Zero cost, no sign-up — tutorial readers can follow without a credit card -* Microsoft.Extensions.AI is provider-agnostic: swap Ollama → Azure OpenAI → Anthropic by changing 1 line in DI registration -* Aligned with .NET 10 ecosystem (official Microsoft abstraction) - ---- - -## Coexistence Strategy: Feature Flags + Graceful Degradation - -The original tutorial (Series 0–5) and AI tutorial (Series 6–7) share **one codebase**. AI features default to **off** so developers without Ollama are unaffected. - -**`Microsoft.FeatureManagement` is already installed — no new dependencies needed.** - -**Backend (.NET) — appsettings.json default (AI off):** -```json -"FeatureManagement": { - "AiEnabled": false -} -``` - -**Frontend (Angular) — environment.ts default (AI hidden):** -```typescript -export const environment = { - aiEnabled: false, - ... -}; -``` - -**Two audiences, one repo:** -* **Original tutorial readers (no Ollama)** — `aiEnabled: false` everywhere, zero broken UI or failed API calls -* **AI enhancement readers (have Ollama)** — follow Series 6 article 6.1: set `"AiEnabled": true`, AI features activate - -All Series 6 code merges into `develop` via feature branches. `AiEnabled` defaults to `false` so `develop` is safe for both audiences — no divergent AI branch needed. - ---- - -## Series 6: AI App Features - -**Folder:** `blogs/series-6-ai-app-features/` -**Theme:** Add AI capabilities that HR managers and employees actually use - -* **6.1** — `6.1-dotnet-ai-foundation.md` — Run a Local LLM in Your .NET 10 API with Ollama - * Code: `IChatClient` DI setup, `POST /api/v1/ai/chat` endpoint, feature flag setup -* **6.2** — `6.2-dotnet-ai-hr-assistant.md` — Build an HR AI Assistant That Knows Your Data - * Code: `GetHrInsightQuery` (MediatR), inject DashboardMetrics context into prompt -* **6.3** — `6.3-angular-ai-chat-widget.md` — Build a Dedicated AI Section in Angular with Submenu Navigation - * Code: AI submenu (menu.json, en-US.json), 4 standalone components under `routes/ai/`, nested child routes, backward-compat redirect -* **6.4** — `6.4-angular-ai-nl-search.md` — Natural Language Employee Search in Angular Material - * Code: `AiNlSearchComponent` — debounce → LLM parse → employee API, parsed expression display -* **6.5** — `6.5-angular-ai-vector-search.md` — Semantic Position Search with Vector Embeddings - * Code: `AiVectorSearchComponent` — debounce → vector search API, score badge, results table -* **6.6** — `6.6-dotnet-ai-response-caching.md` — Cache Your AI Responses: Save Time and API Costs - * Code: EasyCaching cache-aside in `OllamaAiService`, `X-AI-Cache` response header -* **6.7** — `6.7-dotnet-mssql-vector-search.md` — Semantic Employee Search with MSSQL 2025 Native Vector Search - * Code: `vector(768)` column on Employee entity, `IEmbeddingService`/`OllamaEmbeddingService`, `SemanticSearchQuery` MediatR handler using `VECTOR_DISTANCE`, `POST /api/v1/employees/semantic-search` endpoint, Angular semantic search tab on employee list - ---- - -## Series 7: Developer Productivity AI - -**Folder:** `blogs/series-7-developer-productivity-ai/` -**Theme:** AI tools that make the developer faster — applied to this exact codebase - -* **7.1** — `7.1-claude-code-workflow.md` — How We Built 22 Articles with Claude Code - * Content: CLAUDE.md patterns, prompting guide, session workflow tips -* **7.2** — `7.2-copilot-clean-architecture.md` — GitHub Copilot for .NET Clean Architecture - * Content: Copilot prompt patterns for CQRS handlers, FluentValidation, Mapster -* **7.3** — `7.3-ai-generated-playwright-tests.md` — Generate Playwright Tests from User Stories with AI - * Content: Prompt-to-test workflow, AI-generated `.spec.ts` files, human review checklist -* **7.4** — `7.4-ai-code-review-github-actions.md` — AI Code Review in GitHub Actions - * Content + Code: GitHub Action YAML using Anthropic API for PR review - ---- - -## Gitflow Branch Strategy - -**Branch naming:** `feature/[article-number]-[short-slug]` -**Base branch:** always off `develop`, merge back via PR - -### Feature Branch Map - -* **6.1** — Parent: `feature/6.1-dotnet-ai-foundation` | ApiResources: `feature/6.1-dotnet-ai-foundation` -* **6.2** — Parent: `feature/6.2-dotnet-ai-hr-assistant` | ApiResources: `feature/6.2-dotnet-ai-hr-assistant` -* **6.3** — Parent: `feature/6.3-angular-ai-chat-widget` | Clients: `feature/6.3-angular-ai-chat-widget` -* **6.4** — Parent: `feature/6.4-angular-ai-dashboard-insights` | Clients: `feature/6.4-angular-ai-dashboard-insights` -* **6.5** — Parent: `feature/6.5-natural-language-search` | ApiResources + Clients: `feature/6.5-natural-language-search` -* **6.6** — Parent: `feature/6.6-ai-response-caching` | ApiResources: `feature/6.6-ai-response-caching` -* **6.7** — Parent: `feature/6.7-mssql-vector-search` | ApiResources + Clients: `feature/6.7-mssql-vector-search` -* **7.1–7.4** — Parent only (blog articles, no submodule code changes) - -### Gitflow Steps Per Article (with submodule code) - -```bash -# 1. Submodule feature branch (off develop) -cd ApiResources/TalentManagement-API # or Clients/... -git checkout develop && git pull -git checkout -b feature/[N.N]-[slug] - -# 2. Parent repo feature branch (off develop) -cd ../.. -git checkout develop && git pull -git checkout -b feature/[N.N]-[slug] - -# 3. Code in submodule → commit → push -git add . && git commit -m "Add [feature]" -git push --set-upstream origin feature/[N.N]-[slug] - -# 4. Blog article + submodule ref in parent → commit → push -git add blogs/series-6-ai-app-features/[N.N]-*.md -git add ApiResources/TalentManagement-API -git commit -m "Add article [N.N] and [feature] implementation" -git push --set-upstream origin feature/[N.N]-[slug] - -# 5. Open PRs: submodule feature → develop, then parent feature → develop -``` - ---- - -## Implementation Checklist - -### Phase 0: Setup - -- [x] Ollama running at `http://localhost:11434` ✅ -- [x] `blogs/AI-ENHANCEMENT-SERIES-PLAN.md` created ✅ -- [x] Create `blogs/series-6-ai-app-features/` folder ✅ -- [x] Create `blogs/series-7-developer-productivity-ai/` folder ✅ -- [x] Create `docs/images/ai/` folder for screenshots ✅ -- [x] Update `blogs/BLOG-SERIES-PLAN.md` with Series 6 & 7 entries ✅ -- [x] Update `blogs/SERIES-NAVIGATION-TOC.md` to include new series ✅ - -### Phase 1: Series 6 — Backend Foundation - -- [x] **6.1 — .NET AI Foundation** ✅ - - [x] `git checkout -b feature/6.1-dotnet-ai-foundation` in ApiResources submodule ✅ - - [x] `git checkout -b feature/6.1-dotnet-ai-foundation` in parent repo ✅ - - [x] Write article draft (`6.1-dotnet-ai-foundation.md`) ✅ - - [x] Add to WebApi.csproj: `Microsoft.Extensions.AI.Ollama` ✅ - - [x] Add to Infrastructure.Shared.csproj: `Microsoft.Extensions.AI` ✅ - - [x] Add `"AiEnabled": false` to `FeatureManagement` in `appsettings.json` ✅ - - [x] Add `"Ollama"` config block to `appsettings.json` ✅ - - [x] Create `Application/Interfaces/IAiChatService.cs` ✅ - - [x] Create `Infrastructure.Shared/Services/OllamaAiService.cs` ✅ - - [x] Create `WebApi/Controllers/v1/AiController.cs` with `[FeatureGate("AiEnabled")]` ✅ - - [x] Register `AddOllamaChatClient()` in `Program.cs` ✅ - - [x] Register `IAiChatService` → `OllamaAiService` in `ServiceRegistration.cs` ✅ - - [ ] Screenshot: Swagger AI endpoint → `docs/images/ai/` *(manual step)* - - [x] Commit + push ApiResources `feature/6.1-dotnet-ai-foundation` ✅ - - [x] Commit + push parent `feature/6.1-dotnet-ai-foundation` ✅ - - [ ] Open PR: ApiResources `feature/6.1-dotnet-ai-foundation` → `develop` — https://github.com/workcontrolgit/TalentManagement-API/pull/new/feature/6.1-dotnet-ai-foundation - - [ ] Open PR: Parent `feature/6.1-dotnet-ai-foundation` → `develop` — https://github.com/workcontrolgit/AngularNetTutorial/pull/new/feature/6.1-dotnet-ai-foundation - -- [x] **6.2 — HR AI Assistant (data-aware)** ✅ - - [x] `git checkout -b feature/6.2-dotnet-ai-hr-assistant` in ApiResources submodule ✅ - - [x] `git checkout -b feature/6.2-dotnet-ai-hr-assistant` in parent repo ✅ - - [x] Write article draft (`6.2-dotnet-ai-hr-assistant.md`) ✅ - - [x] Create `Application/Features/AI/Queries/GetHrInsight/GetHrInsightQuery.cs` (MediatR) ✅ - - [x] Create `Application/Features/AI/Queries/GetHrInsight/HrInsightDto.cs` ✅ - - [x] Add `POST /api/v1/ai/hr-insight` endpoint to `AiController` ✅ - - [x] Inject DashboardMetrics context into prompt ✅ - - [ ] Screenshot: AI answer about employee data → `docs/images/ai/` *(manual step)* - - [x] Commit + push submodule feature branch ✅ - - [x] Commit + push parent feature branch ✅ - - [x] Open PR: ApiResources `feature/6.2-dotnet-ai-hr-assistant` → `develop` — https://github.com/workcontrolgit/TalentManagement-API/pull/3 ✅ - - [x] Open PR: Parent `feature/6.2-dotnet-ai-hr-assistant` → `develop` — https://github.com/workcontrolgit/AngularNetTutorial/pull/17 ✅ - -### Phase 2: Series 6 — Angular Frontend - -- [x] **6.3 — Angular AI Chat Widget** ✅ - - [x] `git checkout -b feature/6.3-angular-ai-chat-widget` in Clients submodule ✅ - - [x] `git checkout -b feature/6.3-angular-ai-chat-widget` in parent repo ✅ - - [x] Write article draft (`6.3-angular-ai-chat-widget.md`) ✅ - - [x] Create `src/app/services/api/ai.service.ts` ✅ - - [x] Create `src/app/routes/ai-chat/` (component + template + SCSS) ✅ - - [x] Add `aiEnabled: false` to environment files ✅ - - [x] Add to sidebar navigation (`menu.json` + `en-US.json` translation key) ✅ - - [x] Register route in `app.routes.ts` ✅ - - [ ] Screenshot: Chat widget in Angular UI → `docs/images/ai/` *(manual step)* - - [x] Commit + push Clients feature branch ✅ - - [x] Commit + push parent feature branch ✅ - - [x] Open PR: Clients `feature/6.3-angular-ai-chat-widget` → `develop` — https://github.com/workcontrolgit/TalentManagement-Angular-Material/pull/3 ✅ - - [x] Open PR: Parent `feature/6.3-angular-ai-chat-widget` → `develop` — https://github.com/workcontrolgit/AngularNetTutorial/pull/18 ✅ - -- [x] **6.4 — AI Dashboard Insights** ✅ - - [x] `git checkout -b feature/6.4-angular-ai-dashboard-insights` in Clients submodule ✅ - - [x] `git checkout -b feature/6.4-angular-ai-dashboard-insights` in parent repo ✅ - - [x] Write article draft (`6.4-angular-ai-dashboard-insights.md`) ✅ - - [x] Modify `dashboard.ts` — add AI insights call after metrics load ✅ - - [x] Add "AI Insights" `mat-card` to `dashboard.html` (guarded by `aiEnabled`) ✅ - - [ ] Screenshot: Dashboard with AI insights card → `docs/images/ai/` *(manual step)* - - [x] Commit + push Clients feature branch ✅ - - [x] Commit + push parent feature branch ✅ - - [x] Open PR: Clients `feature/6.4-angular-ai-dashboard-insights` → `develop` — https://github.com/workcontrolgit/TalentManagement-Angular-Material/pull/4 ✅ - - [x] Open PR: Parent `feature/6.4-angular-ai-dashboard-insights` → `develop` — https://github.com/workcontrolgit/AngularNetTutorial/pull/19 ✅ - -### Phase 3: Series 6 — Advanced - -- [ ] **6.5 — Natural Language Search** - - [ ] `git checkout -b feature/6.5-natural-language-search` in ApiResources + Clients + parent - - [x] Write article draft (`6.5-dotnet-natural-language-search.md`) ✅ - - [ ] .NET: Create `NlSearchQuery` MediatR handler (LLM → structured filter) - - [ ] Angular: Add NL search bar above employee table - - [ ] Screenshot: NL query → filtered employee list → `docs/images/ai/` - - [ ] Commit + push all feature branches - - [ ] Open PRs: ApiResources + Clients + Parent → `develop` - -- [ ] **6.6 — AI Response Caching** - - [ ] `git checkout -b feature/6.6-ai-response-caching` in ApiResources submodule + parent - - [ ] Write article draft (`6.6-dotnet-ai-response-caching.md`) - - [ ] .NET: Add EasyCaching cache-aside to `OllamaAiService` - - [ ] Add `X-AI-Cache: HIT/MISS` response header - - [ ] Screenshot: Swagger response headers showing cache → `docs/images/ai/` - - [ ] Commit + push feature branches - - [ ] Open PRs: ApiResources + Parent → `develop` - -- [ ] **6.7 — Semantic Search with MSSQL 2025 Vector Search** - - [ ] `git checkout -b feature/6.7-mssql-vector-search` in ApiResources + Clients + parent - - [ ] Write article draft (`6.7-dotnet-mssql-vector-search.md`) - - [ ] .NET: Add `SearchEmbedding vector(768)` column to Employee entity + EF migration - - [ ] .NET: Create `Application/Interfaces/IEmbeddingService.cs` - - [ ] .NET: Create `Infrastructure.Shared/Services/OllamaEmbeddingService.cs` (calls `nomic-embed-text` via Ollama `/api/embeddings`) - - [ ] .NET: Create `Application/Features/Employees/Queries/SemanticSearch/SemanticSearchQuery.cs` (MediatR) - - [ ] .NET: Create `SemanticSearchQueryHandler.cs` — embed query → `VECTOR_DISTANCE` raw SQL → ranked results - - [ ] .NET: Add `POST /api/v1/employees/semantic-search` endpoint to `EmployeesController` - - [ ] .NET: Seed/backfill embeddings for existing employee seed data - - [ ] Angular: Add `semanticSearch()` method to `ai.service.ts` - - [ ] Angular: Add semantic search tab/toggle on employee list (alongside existing NL search bar) - - [ ] Add `VectorSearchEnabled` feature flag to `appsettings.json` and `environment.ts` - - [ ] Screenshot: Semantic search results vs keyword results → `docs/images/ai/` - - [ ] Commit + push all feature branches - - [ ] Open PRs: ApiResources + Clients + Parent → `develop` - -### Phase 4: Series 7 — Developer Productivity (parent repo only) - -- [ ] **7.1 — Claude Code Workflow** - - [ ] `git checkout -b feature/7.1-claude-code-workflow` in parent repo - - [ ] Write article: CLAUDE.md patterns, prompting, session workflow - - [ ] Commit + push → Open PR → `develop` - -- [ ] **7.2 — Copilot for Clean Architecture** - - [ ] `git checkout -b feature/7.2-copilot-clean-architecture` in parent repo - - [ ] Write article: Copilot prompt patterns for CQRS, FluentValidation - - [ ] Commit + push → Open PR → `develop` - -- [ ] **7.3 — AI-Generated Playwright Tests** - - [ ] `git checkout -b feature/7.3-ai-generated-playwright-tests` in parent repo - - [ ] Write article: prompt-to-test workflow, human review checklist - - [ ] Commit + push → Open PR → `develop` - -- [ ] **7.4 — AI Code Review in GitHub Actions** - - [ ] `git checkout -b feature/7.4-ai-code-review-ci` in parent repo - - [ ] Write article + GitHub Action YAML using Anthropic API - - [ ] Commit + push → Open PR → `develop` - ---- - -## Writing Order - -1. 6.1 — backend AI foundation (everything else depends on this) -2. 6.2 — HR assistant (builds on 6.1) -3. 6.3 — Angular chat widget (needs 6.1 endpoint) -4. 6.4 — dashboard insights (builds on 6.2 + existing dashboard) -5. 6.5 — NL search (builds on 6.1 + existing employee list) -6. 6.6 — AI caching (builds on 6.1 + EasyCaching from article 2.5) -7. 6.7 — MSSQL 2025 vector search (builds on 6.5 — contrasts LLM translator with semantic similarity; requires SQL Server 2025 CTP or later) -8. 7.1–7.4 — independent, any order - ---- - -## Ollama Setup Reference - -```bash -ollama pull llama3.2 # 2GB, fast for tutorials -ollama serve # http://localhost:11434 -``` - -> **✅ Confirmed:** Ollama is running at `http://localhost:11434` in the dev environment. - ---- - -## Verification (each Series 6 article) - -1. Start all 3 services + `ollama serve` -2. Set `"AiEnabled": true` in `appsettings.json` and `aiEnabled: true` in `environment.ts` -3. Navigate to the feature in Angular (`http://localhost:4200`) -4. Confirm AI responds correctly -5. Verify Swagger endpoint behavior -6. Reset `AiEnabled` to `false` — confirm original tutorial still works perfectly -7. Run Playwright tests — ensure no regressions diff --git a/blogs/AI-SUBMENU-REFACTOR-PLAN.md b/blogs/AI-SUBMENU-REFACTOR-PLAN.md deleted file mode 100644 index 6db1433..0000000 --- a/blogs/AI-SUBMENU-REFACTOR-PLAN.md +++ /dev/null @@ -1,480 +0,0 @@ -# AI Submenu Refactor Plan - -> Separate all AI features from the single "AI Chat" page into dedicated routes under an **AI** parent submenu. -> Update Series 6 blog articles to reflect the new structure. Add Playwright tests for each AI feature. - ---- - -## Motivation - -Articles 6.3 and 6.4 introduced AI into the existing `ai-chat` component as tabs. As more AI features land (NL Search in 6.5, Vector Search), cramming everything into one tabbed page becomes cluttered and hard to navigate. A proper **AI submenu** gives each feature its own focused page, matches the pattern used by Employees / Departments / Positions, and makes the blog series cleaner to follow. - ---- - -## Target Menu Structure - -``` -AI (sub menu, icon: psychology) -├── AI Assistant → /ai/assistant (extracted from ai-chat Tab 1) -├── HR Insight → /ai/hr-insight (extracted from ai-chat Tab 2) -├── NL Search → /ai/nl-search (new, article 6.5) -└── Vector Search → /ai/vector-search (new, article 6.5) -``` - ---- - -## Gitflow Rules (applies to every phase) - -1. Every phase starts from the **latest `develop`** in both the submodule and parent repo. -2. Branch naming: `feature/ai-submenu-phaseN-` -3. Code is committed in the **submodule first**, then the parent repo updates its submodule pointer. -4. After verification passes, open a PR from the feature branch → `develop` in each affected repo. -5. **Do not start the next phase until all PRs for the current phase are merged.** - ---- - -## Phase 0: Remove Embedded AI from Existing CRUD Components - -> **Goal:** Restore `employee-list`, `position-list`, and `dashboard` to their original Series 0–5 state so those blog articles remain accurate. AI features move to dedicated `/ai/*` pages instead. - -### Gitflow — Start - -```bash -# Clients submodule -cd Clients/TalentManagement-Angular-Material -git checkout develop && git pull -git checkout -b feature/ai-submenu-phase0-crud-cleanup - -# Parent repo -cd ../.. -git checkout develop && git pull -git checkout -b feature/ai-submenu-phase0-crud-cleanup -``` - -### 0.1 — employee-list.component.ts -**File:** `Clients/.../src/app/routes/employees/employee-list.component.ts` - -- [ ] Remove `import { AiService, NlEmployeeFilter } from '../../services/api/ai.service'` -- [ ] Remove `private aiService = inject(AiService)` field -- [ ] Remove `aiEnabled = environment.aiEnabled` field -- [ ] Remove `nlQuery`, `nlLoading`, `nlError`, `nlResults` (and any related NL state fields) -- [ ] Remove the `setupNlSearch()` private method and its `Subject`/pipe chain -- [ ] Remove the `clearNlSearch()` method -- [ ] Remove the `setupNlSearch()` call from `ngOnInit` -- [ ] Remove `environment` import if no longer used elsewhere in this file - -### 0.2 — employee-list.component.html -**File:** `Clients/.../src/app/routes/employees/employee-list.component.html` - -- [ ] Remove the entire `` block (NL search bar above employee table) -- [ ] Verify the table and surrounding markup is unchanged from the Series 3 state - -### 0.3 — position-list.component.ts -**File:** `Clients/.../src/app/routes/positions/position-list.component.ts` - -- [ ] Remove `import { AiService, SemanticPositionResult } from '../../services/api'` -- [ ] Remove `private aiService = inject(AiService)` field -- [ ] Remove `aiEnabled = environment.aiEnabled` field -- [ ] Remove `semanticSearch$` Subject and all related state fields (`semanticResults`, `semanticLoading`, etc.) -- [ ] Remove the semantic search pipe setup in `ngOnInit` -- [ ] Remove any semantic search trigger methods -- [ ] Remove `environment` import if no longer used elsewhere in this file - -### 0.4 — position-list.component.html -**File:** `Clients/.../src/app/routes/positions/position-list.component.html` - -- [ ] Remove the entire `` block (semantic search bar above position table) -- [ ] Verify the table and surrounding markup is unchanged from the Series 3 state - -### 0.5 — dashboard.ts -**File:** `Clients/.../src/app/routes/dashboard/dashboard.ts` - -- [ ] Change `import { DashboardService, AiService } from '../../services/api'` → `import { DashboardService } from '../../services/api'` -- [ ] Remove `import { environment } from '../../../environments/environment'` -- [ ] Remove `OnDestroy` from the `@angular/core` import and from the `implements` clause -- [ ] Remove `import { Subject } from 'rxjs'` and `import { takeUntil } from 'rxjs/operators'` -- [ ] Remove `private aiService = inject(AiService)` field -- [ ] Remove `private destroy$ = new Subject()` field -- [ ] Remove AI state fields: `aiEnabled`, `aiInsight`, `aiInsightLoading`, `aiInsightError` -- [ ] Remove the `if (this.aiEnabled) { this.loadAiInsight(metrics); }` call inside `loadDashboardMetrics` -- [ ] Remove the entire `private loadAiInsight(metrics: DashboardMetrics): void` method -- [ ] Remove the `ngOnDestroy()` method - -### 0.6 — dashboard.html -**File:** `Clients/.../src/app/routes/dashboard/dashboard.html` - -- [ ] Remove the entire `` block (lines 3–30, the AI Workforce Insights card) -- [ ] Verify the dashboard metrics cards and charts below are unchanged - -### Phase 0 Verification - -- [ ] Employee List page has no AI/NL search bar — matches Series 3 article exactly -- [ ] Position List page has no semantic search bar — matches Series 3 article exactly -- [ ] Dashboard page has no AI Workforce Insights card — matches Series 5 article exactly -- [ ] No `AiService` import in `employee-list.component.ts`, `position-list.component.ts`, or `dashboard.ts` -- [ ] `ng build` compiles with no errors -- [ ] All existing Series 0–5 CRUD features still work (manual smoke test) - -### Gitflow — Commit, Push & PR - -```bash -# Commit in Clients submodule -cd Clients/TalentManagement-Angular-Material -git add src/app/routes/employees/employee-list.component.ts \ - src/app/routes/employees/employee-list.component.html \ - src/app/routes/positions/position-list.component.ts \ - src/app/routes/positions/position-list.component.html \ - src/app/routes/dashboard/dashboard.ts \ - src/app/routes/dashboard/dashboard.html -git commit -m "Remove embedded AI features from employee-list, position-list, and dashboard" -git push --set-upstream origin feature/ai-submenu-phase0-crud-cleanup - -# Update submodule pointer + commit in parent repo -cd ../.. -git add Clients/TalentManagement-Angular-Material -git commit -m "Phase 0: remove AI from CRUD components — update Clients submodule ref" -git push --set-upstream origin feature/ai-submenu-phase0-crud-cleanup - -# Open PRs -gh pr create --base develop --title "Phase 0: Remove embedded AI from CRUD components and dashboard" \ - --body "Restores employee-list, position-list, and dashboard to Series 0-5 state. AI features will live under the /ai submenu." \ - --repo workcontrolgit/TalentManagement-Angular-Material - -gh pr create --base develop --title "Phase 0: Remove embedded AI from CRUD components" \ - --body "Updates Clients submodule pointer after removing embedded AI from employee-list and position-list." \ - --repo workcontrolgit/AngularNetTutorial -``` - -> ⛔ **Gate: Do not start Phase 1 until both Phase 0 PRs are merged into `develop`.** - ---- - -## Phase 1: Angular UI Refactoring - -> **Goal:** Replace the single `ai-chat` route with an `ai` parent submenu and four dedicated child pages. - -### Gitflow — Start - -```bash -# Clients submodule -cd Clients/TalentManagement-Angular-Material -git checkout develop && git pull -git checkout -b feature/ai-submenu-phase1-ui-refactor - -# Parent repo -cd ../.. -git checkout develop && git pull -git checkout -b feature/ai-submenu-phase1-ui-refactor -``` - -### 1.1 — menu.json -**File:** `Clients/.../public/data/menu.json` - -- [ ] Remove the top-level `ai-chat` link entry -- [ ] Add an `ai` sub-menu entry (type: `sub`, icon: `psychology`) with four children: - ```json - { - "route": "ai", - "name": "ai", - "type": "sub", - "icon": "psychology", - "children": [ - { "route": "assistant", "name": "aiAssistant", "type": "link" }, - { "route": "hr-insight", "name": "aiHrInsight", "type": "link" }, - { "route": "nl-search", "name": "aiNlSearch", "type": "link" }, - { "route": "vector-search", "name": "aiVectorSearch", "type": "link" } - ] - } - ``` - -### 1.2 — i18n Translation Keys -**File:** `Clients/.../public/i18n/en-US.json` - -- [ ] Remove `"aiChat": "AI Assistant"` (old top-level key) -- [ ] Add new keys under `menu`: - ```json - "ai": "AI", - "ai.aiAssistant": "AI Assistant", - "ai.aiHrInsight": "HR Insight", - "ai.aiNlSearch": "NL Search", - "ai.aiVectorSearch": "Vector Search" - ``` - -### 1.3 — Create New AI Route Components -**Base folder:** `Clients/.../src/app/routes/ai/` - -Each component is standalone and follows the same structure as existing route components. - -- [ ] Create `ai/ai-assistant/ai-assistant.component.ts` — extract General Chat logic from `ai-chat.component.ts` -- [ ] Create `ai/ai-assistant/ai-assistant.component.html` — extract General Chat template from `ai-chat.component.html` -- [ ] Create `ai/ai-assistant/ai-assistant.component.scss` — extract relevant styles -- [ ] Create `ai/ai-hr-insight/ai-hr-insight.component.ts` — extract HR Insights logic from `ai-chat.component.ts` -- [ ] Create `ai/ai-hr-insight/ai-hr-insight.component.html` — extract HR Insights template -- [ ] Create `ai/ai-hr-insight/ai-hr-insight.component.scss` — extract relevant styles -- [ ] Create `ai/ai-nl-search/ai-nl-search.component.ts` — new NL search UI (calls `AiService.nlEmployeeSearch()`) -- [ ] Create `ai/ai-nl-search/ai-nl-search.component.html` — search bar + results table -- [ ] Create `ai/ai-nl-search/ai-nl-search.component.scss` -- [ ] Create `ai/ai-vector-search/ai-vector-search.component.ts` — new vector search UI (calls `AiService.semanticPositionSearch()`) -- [ ] Create `ai/ai-vector-search/ai-vector-search.component.html` — query input + ranked results list -- [ ] Create `ai/ai-vector-search/ai-vector-search.component.scss` - -### 1.4 — Update app.routes.ts -**File:** `Clients/.../src/app/app.routes.ts` - -- [ ] Remove `import { AiChatComponent } from './routes/ai-chat/ai-chat.component'` -- [ ] Add imports for the four new AI components -- [ ] Remove `{ path: 'ai-chat', component: AiChatComponent }` route -- [ ] Add the nested `ai` children block: - ```typescript - { - path: 'ai', - children: [ - { path: 'assistant', component: AiAssistantComponent }, - { path: 'hr-insight', component: AiHrInsightComponent }, - { path: 'nl-search', component: AiNlSearchComponent }, - { path: 'vector-search', component: AiVectorSearchComponent }, - { path: '', redirectTo: 'assistant', pathMatch: 'full' }, - ], - } - ``` -- [ ] Add backward-compatible redirect: `{ path: 'ai-chat', redirectTo: 'ai/assistant', pathMatch: 'full' }` - -### 1.5 — Delete Old AI Chat Component -**Folder:** `Clients/.../src/app/routes/ai-chat/` - -- [ ] Delete `ai-chat.component.ts` -- [ ] Delete `ai-chat.component.html` -- [ ] Delete `ai-chat.component.scss` -- [ ] Remove the `ai-chat/` folder - -### Phase 1 Verification - -- [ ] AI submenu entry appears in sidebar and expands to show 4 children -- [ ] All 4 routes load without console errors: `/ai/assistant`, `/ai/hr-insight`, `/ai/nl-search`, `/ai/vector-search` -- [ ] Active child route is highlighted in sidebar -- [ ] `aiEnabled: false` shows disabled banner on every AI page -- [ ] Old `/ai-chat` URL redirects to `/ai/assistant` -- [ ] `ng build` compiles with no errors - -### Gitflow — Commit, Push & PR - -```bash -# Commit in Clients submodule -cd Clients/TalentManagement-Angular-Material -git add public/data/menu.json \ - public/i18n/en-US.json \ - src/app/app.routes.ts \ - src/app/routes/ai/ -git rm -r src/app/routes/ai-chat/ -git commit -m "Add AI submenu with 4 dedicated routes, remove old ai-chat page" -git push --set-upstream origin feature/ai-submenu-phase1-ui-refactor - -# Update submodule pointer in parent repo -cd ../.. -git add Clients/TalentManagement-Angular-Material -git commit -m "Phase 1: AI submenu refactor — update Clients submodule ref" -git push --set-upstream origin feature/ai-submenu-phase1-ui-refactor - -# Open PRs -gh pr create --base develop --title "Phase 1: Add AI submenu with 4 dedicated routes" \ - --body "Replaces the single ai-chat page with an AI parent submenu (AI Assistant, HR Insight, NL Search, Vector Search). Adds backward-compatible redirect from /ai-chat." \ - --repo workcontrolgit/TalentManagement-Angular-Material - -gh pr create --base develop --title "Phase 1: AI submenu refactor" \ - --body "Updates Clients submodule pointer after AI submenu refactor." \ - --repo workcontrolgit/AngularNetTutorial -``` - -> ⛔ **Gate: Do not start Phase 2 until both Phase 1 PRs are merged into `develop`.** - ---- - -## Phase 2: Blog Updates (Series 6) - -> **Goal:** Update blog articles so all code samples match the refactored codebase. No submodule code changes in this phase — parent repo only. - -### Gitflow — Start - -```bash -# Parent repo only (blog files live here, no submodule changes) -cd -git checkout develop && git pull -git checkout -b feature/ai-submenu-phase2-blog-updates -``` - -### 2.1 — Article 6.3 (Angular AI Chat Widget) -**File:** `blogs/series-6-ai-app-features/6.3-angular-ai-chat-widget.md` - -The article currently describes adding a single `ai-chat` route with two tabs. It must be rewritten to describe the **AI submenu pattern**. - -- [ ] Update article introduction — explain the submenu approach instead of single page + tabs -- [ ] Update all file paths: `src/app/routes/ai-chat/` → `src/app/routes/ai/ai-assistant/` -- [ ] Update menu.json code sample to show the `ai` sub-menu entry (4 children) -- [ ] Update i18n code sample with new keys (`ai`, `ai.aiAssistant`, etc.) -- [ ] Update `app.routes.ts` code sample to show the nested `ai` children block -- [ ] Remove all `mat-tab-group` code samples — each feature is now a full page -- [ ] Update screenshots section — replace single-page screenshot reference with per-page screenshots -- [ ] Update "What you built" summary to reflect 4 separate pages - -### 2.2 — Article 6.4 (AI Dashboard Insights) -**File:** `blogs/series-6-ai-app-features/6.4-angular-ai-dashboard-insights.md` - -- [ ] Verify no references to `/ai-chat` route remain -- [ ] Update any link to the AI chat to point to `/ai/hr-insight` instead -- [ ] Add a callout: "The HR Insight feature lives at `/ai/hr-insight` (see article 6.3)" - -### 2.3 — Future Article 6.5 (Natural Language Search) -**File:** `blogs/series-6-ai-app-features/6.5-dotnet-natural-language-search.md` *(to be written)* - -- [ ] Write Angular section describing `AiNlSearchComponent` at route `/ai/nl-search` -- [ ] Include `app.routes.ts` snippet showing `nl-search` as an existing child route -- [ ] Include menu.json snippet noting `nl-search` is already scaffolded from article 6.3 - -### 2.4 — Series Navigation / TOC -**Files:** `blogs/SERIES-NAVIGATION-TOC.md`, `blogs/BLOG-SERIES-PLAN.md`, `blogs/AI-ENHANCEMENT-SERIES-PLAN.md` - -- [ ] Update Series 6 entry in `SERIES-NAVIGATION-TOC.md` — note submenu refactor lands in 6.3 -- [ ] Update `AI-ENHANCEMENT-SERIES-PLAN.md` Phase 2 checklist to reflect 6.3 now covers the submenu scaffold - -### Phase 2 Verification - -- [ ] Every code sample in 6.3 matches committed code in the `Clients` submodule on `develop` -- [ ] No stale `/ai-chat` URL references remain in any Series 6 article -- [ ] 6.5 article skeleton is in place with correct route and menu references - -### Gitflow — Commit, Push & PR - -```bash -# Parent repo only -git add blogs/series-6-ai-app-features/ \ - blogs/SERIES-NAVIGATION-TOC.md \ - blogs/BLOG-SERIES-PLAN.md \ - blogs/AI-ENHANCEMENT-SERIES-PLAN.md -git commit -m "Phase 2: Update Series 6 blogs to match AI submenu refactor" -git push --set-upstream origin feature/ai-submenu-phase2-blog-updates - -# Open PR (parent repo only — no submodule changes) -gh pr create --base develop --title "Phase 2: Update Series 6 blog articles for AI submenu" \ - --body "Updates 6.3, 6.4, and 6.5 skeleton to match the AI submenu structure. Removes all tab-based code samples and stale /ai-chat references." \ - --repo workcontrolgit/AngularNetTutorial -``` - -> ⛔ **Gate: Do not start Phase 3 until the Phase 2 PR is merged into `develop`.** - ---- - -## Phase 3: Playwright Tests - -> **Goal:** Add AI-specific page objects and test files. Update any existing tests that reference the old `/ai-chat` route. - -### Gitflow — Start - -```bash -# Tests submodule -cd Tests/AngularNetTutorial-Playwright -git checkout develop && git pull -git checkout -b feature/ai-submenu-phase3-playwright - -# Parent repo -cd ../.. -git checkout develop && git pull -git checkout -b feature/ai-submenu-phase3-playwright -``` - -### 3.1 — AI Page Objects -**Base folder:** `Tests/AngularNetTutorial-Playwright/page-objects/` - -- [ ] Create `ai-assistant.page.ts`: - - `messageInput`, `sendButton`, `messageList`, `clearButton` locators - - `sendMessage(text)`, `getLastReply()`, `waitForReply()` helpers - -- [ ] Create `ai-hr-insight.page.ts`: - - `questionInput`, `askButton`, `hrMessageList`, `suggestionButtons` locators - - `clickSuggestion(index)`, `askQuestion(text)`, `getLastAnswer()`, `getExecutionTime()` helpers - -- [ ] Create `ai-nl-search.page.ts`: - - `searchInput`, `searchButton`, `resultsTable`, `parsedExpression` locators - - `search(query)`, `getResultCount()` helpers - -- [ ] Create `ai-vector-search.page.ts`: - - `queryInput`, `searchButton`, `resultCards` locators - - `search(query)`, `getTopResult()` helpers - -### 3.2 — AI Test Files -**Folder:** `Tests/AngularNetTutorial-Playwright/tests/ai/` - -- [ ] Create `tests/ai/ai-navigation.spec.ts`: - - AI submenu is visible in sidebar after login - - Clicking each child link loads the correct page - - URL matches expected path for all 4 routes - -- [ ] Create `tests/ai/ai-assistant.spec.ts`: - - Page renders with message input and send button - - `aiEnabled: false` — disabled banner shown, input hidden - - Clear button empties the conversation - -- [ ] Create `tests/ai/ai-hr-insight.spec.ts`: - - Page renders with question input - - Suggestion buttons are visible when conversation is empty - - Clicking a suggestion populates the input field - -- [ ] Create `tests/ai/ai-nl-search.spec.ts`: - - Page renders with search bar - - Submitting a query triggers a loading indicator - - `parsedExpression` field is visible after response - -- [ ] Create `tests/ai/ai-vector-search.spec.ts`: - - Page renders with query input - - Search returns ranked results with score values - -### 3.3 — Update Existing Tests for New Routes - -- [ ] Search all test files for `/ai-chat` — update every match to `/ai/assistant` -- [ ] Update `tests/navigation/routing.spec.ts` — replace `ai-chat` route check with `ai/assistant` -- [ ] Update `tests/screenshots/blog-screenshots.spec.ts` — update any AI page screenshot capture - -### Phase 3 Verification - -- [ ] `npx playwright test tests/ai/` — all new AI tests pass -- [ ] `npx playwright test` — full suite passes with no regressions -- [ ] No test file references the old `/ai-chat` URL - -### Gitflow — Commit, Push & PR - -```bash -# Commit in Tests submodule -cd Tests/AngularNetTutorial-Playwright -git add page-objects/ai-*.page.ts tests/ai/ tests/navigation/ tests/screenshots/ -git commit -m "Add AI submenu page objects and tests, update stale /ai-chat references" -git push --set-upstream origin feature/ai-submenu-phase3-playwright - -# Update submodule pointer in parent repo -cd ../.. -git add Tests/AngularNetTutorial-Playwright -git commit -m "Phase 3: Playwright AI tests — update Tests submodule ref" -git push --set-upstream origin feature/ai-submenu-phase3-playwright - -# Open PRs -gh pr create --base develop --title "Phase 3: Add Playwright tests for AI submenu" \ - --body "Adds page objects and test specs for all 4 AI routes. Updates existing tests that referenced /ai-chat." \ - --repo workcontrolgit/AngularNetTutorial-Playwright - -gh pr create --base develop --title "Phase 3: Playwright AI tests" \ - --body "Updates Tests submodule pointer after adding AI submenu Playwright tests." \ - --repo workcontrolgit/AngularNetTutorial -``` - -> ✅ **All phases complete once the Phase 3 PRs are merged into `develop`.** - ---- - -## Phase Summary - -| Phase | Branch | Repos Affected | Gate | -|-------|--------|----------------|------| -| 0 — CRUD cleanup | `feature/ai-submenu-phase0-crud-cleanup` | Clients + Parent | PR merged → start Phase 1 | -| 1 — UI refactor | `feature/ai-submenu-phase1-ui-refactor` | Clients + Parent | PR merged → start Phase 2 | -| 2 — Blog updates | `feature/ai-submenu-phase2-blog-updates` | Parent only | PR merged → start Phase 3 | -| 3 — Playwright tests | `feature/ai-submenu-phase3-playwright` | Tests + Parent | PR merged → done | - -Each phase branches off the **latest `develop`** after the previous phase's PR is merged. diff --git a/blogs/SERIES-NAVIGATION-TOC.md b/blogs/SERIES-NAVIGATION-TOC.md index 13ea114..d7018d4 100644 --- a/blogs/SERIES-NAVIGATION-TOC.md +++ b/blogs/SERIES-NAVIGATION-TOC.md @@ -85,9 +85,11 @@ * [6.1 — Run a Local LLM in Your .NET 10 API with Ollama](series-6-ai-app-features/6.1-dotnet-ai-foundation.md) — .NET AI Foundation * [6.2 — Build an HR AI Assistant That Knows Your Data](series-6-ai-app-features/6.2-dotnet-ai-hr-assistant.md) — HR AI Assistant * [6.3 — Build a Dedicated AI Section in Angular with Submenu Navigation](series-6-ai-app-features/6.3-angular-ai-chat-widget.md) — AI Submenu Refactor -* [6.4 — Natural Language Employee Search in Angular Material](series-6-ai-app-features/6.4-angular-ai-nl-search.md) — NL Search Page -* [6.5 — Semantic Position Search with Vector Embeddings](series-6-ai-app-features/6.5-angular-ai-vector-search.md) — Vector Search Page -* [6.6 — Cache Your AI Responses: Save Time and API Costs](series-6-ai-app-features/6.6-dotnet-ai-response-caching.md) — AI Response Caching +* [6.4 — Natural Language Employee Search in Angular Material](series-6-ai-app-features/6.4-angular-ai-nl-search.md) — NL Search Angular +* [6.5 — Natural Language Employee Search with LLM Query Parsing](series-6-ai-app-features/6.5-dotnet-natural-language-search.md) — NL Search .NET Backend +* [6.6 — Semantic Position Search with Vector Embeddings in Angular Material](series-6-ai-app-features/6.6-angular-ai-vector-search.md) — Vector Search Angular +* [6.7 — Semantic Position Search with SQL Server Native Vector Search](series-6-ai-app-features/6.7-dotnet-mssql-vector-search.md) — Vector Search .NET Backend +* [6.8 — Cache Your AI Responses: Save Time and API Costs](series-6-ai-app-features/6.8-dotnet-ai-response-caching.md) — AI Response Caching --- diff --git a/blogs/series-6-ai-app-features/6.1-dotnet-ai-foundation.md b/blogs/series-6-ai-app-features/6.1-dotnet-ai-foundation.md index 7ad81e3..112cf5d 100644 --- a/blogs/series-6-ai-app-features/6.1-dotnet-ai-foundation.md +++ b/blogs/series-6-ai-app-features/6.1-dotnet-ai-foundation.md @@ -1,6 +1,6 @@ # Run a Local LLM in Your .NET 10 API with Ollama -## How OllamaSharp and a Custom Service Interface Make Your .NET 10 API AI-Ready +## How Microsoft.Extensions.AI, OllamaSharp, and a Custom Service Interface Make Your .NET 10 API AI-Ready Every developer wants AI in their app. The problem is getting started: API keys, cloud costs, rate limits, and the fear of betting your architecture on one vendor. What if you could add a working AI endpoint to your .NET 10 API in under an hour — for free, running entirely on your laptop? @@ -16,11 +16,12 @@ This article is part of the **AngularNetTutorial** series. The full-stack tutori ## 🎓 What You'll Learn -* **OllamaSharp streaming** — How `IOllamaApiClient` streams tokens from Ollama using `IAsyncEnumerable<>` so responses appear progressively, not all at once +* **Microsoft.Extensions.AI (MEA)** — The GA abstraction layer shipping with .NET 10 that gives you a single `IChatClient` interface across all AI providers +* **OllamaSharp + MEA** — How OllamaSharp 5.x natively implements `IChatClient`, making Ollama a drop-in MEA provider with no extra package * **Ollama integration** — Pull a free local model and connect it to your .NET API in minutes -* **Feature flag gating** — Why `[FeatureGate("AiEnabled")]` is the safest way to ship AI without breaking existing users +* **Feature flag gating** — Why per-method `IsEnabledAsync` checks return `503` instead of the misleading `404` from `[FeatureGate]` * **Clean Architecture placement** — Where AI interfaces, implementations, and controllers belong in the layer structure -* **Custom `IAiChatService` interface** — How defining your own service interface in the Application layer hides OllamaSharp from callers and makes the implementation swappable +* **Custom `IAiChatService` interface** — How defining your own service interface in the Application layer hides MEA/OllamaSharp from callers and makes the implementation swappable --- @@ -54,18 +55,21 @@ Beyond getting started, there's an architectural risk: if your AI code reaches d ## 💡 The Solution -[OllamaSharp](https://github.com/awaescher/OllamaSharp) is a .NET client for Ollama that exposes `IOllamaApiClient` and native token streaming via `IAsyncEnumerable<>`. We use it directly in `Infrastructure.Shared` — one package, no additional provider abstraction library needed. +**[Microsoft.Extensions.AI](https://learn.microsoft.com/en-us/dotnet/ai/microsoft-extensions-ai)** (MEA) is the standard AI abstraction layer that ships GA with .NET 10. It defines `IChatClient` — a single interface for chat completions that works across OpenAI, Azure OpenAI, Ollama, and any other provider. You code against `IChatClient`; switching providers is a one-line DI change. + +**[OllamaSharp](https://github.com/awaescher/OllamaSharp) 5.x** natively implements `IChatClient` from MEA. The former `Microsoft.Extensions.AI.Ollama` provider package has been deprecated — OllamaSharp is now the recommended path. That means you need just two NuGet packages in `Infrastructure.Shared`: `Microsoft.Extensions.AI.Abstractions` for the interface and `OllamaSharp` for the implementation. [Ollama](https://ollama.com) runs open-weight models like `llama3.2` locally. No API key. No cloud. Works offline. Perfect for tutorials and development. -Provider independence comes from our own `IAiChatService` interface defined in the Application layer. `OllamaAiService` implements it using OllamaSharp. To swap providers (e.g., Azure OpenAI in production), you write a new implementation of `IAiChatService` in Infrastructure.Shared and change the DI registration — the Application layer, handlers, and controller are untouched. +Provider independence has two layers: MEA's `IChatClient` (standard .NET 10 interface) and our own `IAiChatService` (defined in the Application layer). `OllamaAiService` receives `IChatClient` from DI and wraps it in the Application-layer contract. To swap from Ollama to Azure OpenAI, you register a different `IChatClient` implementation — `OllamaAiService` itself is untouched, and the Application layer, handlers, and controller never change. -We gate the entire `AiController` behind a `[FeatureGate("AiEnabled")]` attribute. When `"AiEnabled": false` (the default), the controller doesn't even respond to requests — no Ollama connection is attempted, the rest of the API is unaffected. +We gate AI per-method with `IFeatureManagerSnapshot.IsEnabledAsync("AiEnabled")` rather than a class-level `[FeatureGate]` attribute. The attribute returns `404 Not Found` when disabled — confusing for a known endpoint. The per-method check returns `503 Service Unavailable` with a `detail` message that tells the developer exactly what to enable and where. **Key benefits:** * ✅ **Zero cost** — Ollama is free; no API key, no credit card, no rate limits -* ✅ **Provider-independent Application layer** — `IAiChatService` hides OllamaSharp from all callers; swap the implementation without touching handlers or controllers +* ✅ **Standard .NET 10 AI abstraction** — MEA's `IChatClient` is GA and built into the platform; no preview dependencies +* ✅ **Provider swap in one line** — Register a different `IChatClient` to move from Ollama to Azure OpenAI; no service code changes * ✅ **Safe coexistence** — Feature flag default `false` means original tutorial (Series 0–5) works unchanged * ✅ **Clean Architecture** — Interface in Application, implementation in Infrastructure.Shared, controller in WebApi @@ -92,15 +96,22 @@ curl http://localhost:11434/api/tags ### Step 2: Add NuGet Packages -Add OllamaSharp to the Infrastructure.Shared project — this is the only AI package needed: +Add two packages to the Infrastructure.Shared project — the MEA abstraction and the OllamaSharp implementation: **`TalentManagementAPI.Infrastructure.Shared.csproj`**: ```xml + ``` -**Why OllamaSharp instead of `Microsoft.Extensions.AI`?** OllamaSharp provides native streaming support via `IAsyncEnumerable<>` (`await foreach`), so tokens stream out of Ollama as they are generated — important when local model responses take several seconds. `Microsoft.Extensions.AI` is the right abstraction when you need to swap between Azure OpenAI, OpenAI, and Ollama without touching service code. For this tutorial, OllamaSharp keeps the dependency footprint minimal: one package, only in Infrastructure.Shared, no provider registration boilerplate in Program.cs. +**Why both packages?** + +`Microsoft.Extensions.AI.Abstractions` ships GA with .NET 10. It defines `IChatClient` — the standard interface for chat completions across all AI providers. Coding against `IChatClient` means your service code never changes when you switch from Ollama to Azure OpenAI or any other provider. + +`OllamaSharp` 5.x natively implements `IChatClient`. The former `Microsoft.Extensions.AI.Ollama` provider package has been **deprecated** — OllamaSharp is the recommended path for Ollama integration. This means you do not need a separate adapter package: `OllamaApiClient` from OllamaSharp implements both `IChatClient` (for chat) and `IOllamaApiClient` (for embeddings), and you register it once as a singleton. + +**No provider boilerplate in Program.cs.** All AI registration stays inside `AddSharedInfrastructure` — the WebApi project adds zero AI-specific setup. ### Step 3: Add Feature Flag and Ollama Config @@ -151,60 +162,48 @@ namespace TalentManagementAPI.Application.Interfaces Create `TalentManagementAPI.Infrastructure.Shared/Services/OllamaAiService.cs`: ```csharp +#nullable enable +using Microsoft.Extensions.AI; using TalentManagementAPI.Application.Interfaces; namespace TalentManagementAPI.Infrastructure.Shared.Services { public class OllamaAiService : IAiChatService { - private readonly IOllamaApiClient _ollamaApiClient; + private readonly IChatClient _chatClient; - public OllamaAiService(IOllamaApiClient ollamaApiClient) + public OllamaAiService(IChatClient chatClient) { - _ollamaApiClient = ollamaApiClient; + _chatClient = chatClient; } public async Task ChatAsync(string message, string? systemPrompt = null, CancellationToken cancellationToken = default) { - var messages = new List(); + var messages = new List(); if (!string.IsNullOrWhiteSpace(systemPrompt)) - messages.Add(new Message(new ChatRole("system"), systemPrompt)); - - messages.Add(new Message(new ChatRole("user"), message)); + messages.Add(new ChatMessage(Microsoft.Extensions.AI.ChatRole.System, systemPrompt)); - var request = new ChatRequest - { - Model = _ollamaApiClient.SelectedModel, - Messages = messages, - Stream = true - }; - - var responseBuilder = new MessageBuilder(); - - await foreach (var response in _ollamaApiClient.ChatAsync(request, cancellationToken) - .WithCancellation(cancellationToken)) - { - if (response?.Message is not null) - responseBuilder.Append(response); - } + messages.Add(new ChatMessage(Microsoft.Extensions.AI.ChatRole.User, message)); - return responseBuilder.HasValue - ? responseBuilder.ToMessage().Content ?? string.Empty - : string.Empty; + var response = await _chatClient.GetResponseAsync(messages, cancellationToken: cancellationToken); + return response.Text ?? string.Empty; } } } ``` -**What this does:** `OllamaAiService` takes `IOllamaApiClient` from DI (registered in Step 6). OllamaSharp streams tokens back using `IAsyncEnumerable<>` — the `await foreach` loop accumulates each chunk into a `MessageBuilder`, then returns the fully assembled reply. An optional system prompt lets callers control the AI's persona or constraints without the service knowing anything about the caller's intent. +**What this does:** `OllamaAiService` takes `IChatClient` (the MEA standard interface) from DI — registered in Step 6 as `OllamaApiClient`. It builds a message list, optionally prepending a system prompt that lets callers control the AI's persona or constraints. `GetResponseAsync` is the MEA 10.x API for a single-turn chat completion. `response.Text` returns the assistant's reply as a plain string. + +**Why `Microsoft.Extensions.AI.ChatRole.System` instead of just `ChatRole.System`?** Both OllamaSharp and MEA define a `ChatRole` type. Fully qualifying the namespace resolves the ambiguity cleanly without needing a using alias. ### Step 6: Register Services -In `Infrastructure.Shared/ServiceRegistration.cs`, register `IOllamaApiClient` and wire `IAiChatService` to a caching decorator that wraps `OllamaAiService`: +In `Infrastructure.Shared/ServiceRegistration.cs`, register `OllamaApiClient` as a concrete singleton and expose it as both `IChatClient` and `IOllamaApiClient` — so both interfaces resolve to the same instance: ```csharp +using Microsoft.Extensions.AI; using TalentManagementAPI.Application.Interfaces; using TalentManagementAPI.Infrastructure.Shared.Services; @@ -215,13 +214,16 @@ public static void AddSharedInfrastructure(this IServiceCollection services, ICo services.AddTransient(); services.AddTransient(); - // Register the Ollama client as a singleton — one connection reused across requests - services.AddSingleton(_ => + // OllamaApiClient implements both IChatClient (Microsoft.Extensions.AI) and IOllamaApiClient. + // Register as a singleton so both interfaces resolve to the same instance. + services.AddSingleton(_ => { var baseUrl = config["Ollama:BaseUrl"] ?? "http://localhost:11434"; var model = config["Ollama:Model"] ?? "llama3.2"; return new OllamaApiClient(new Uri(baseUrl), model); }); + services.AddSingleton(sp => sp.GetRequiredService()); + services.AddSingleton(sp => sp.GetRequiredService()); // Metadata scoped per-request so the controller can read cache hit/miss services.AddScoped(); @@ -243,9 +245,18 @@ In `WebApi/Program.cs`, the only AI-related line is the call to `AddSharedInfras ```csharp builder.Services.AddApplicationLayer(); builder.Services.AddPersistenceInfrastructure(builder.Configuration); -builder.Services.AddSharedInfrastructure(builder.Configuration); // ← registers IOllamaApiClient + IAiChatService +builder.Services.AddSharedInfrastructure(builder.Configuration); // ← registers IChatClient + IAiChatService ``` +**Why three registrations for one object?** `OllamaApiClient` implements two interfaces from different libraries: + +* `IChatClient` (from `Microsoft.Extensions.AI`) — used by `OllamaAiService` for chat completions +* `IOllamaApiClient` (from OllamaSharp) — used by `OllamaEmbeddingService` for embedding generation (introduced in Series 6.7) + +Registering the concrete type first as a singleton, then aliasing both interfaces to it, ensures both resolve to the same underlying instance — one HTTP connection, one model selection, shared across the app. + +**To swap Ollama for Azure OpenAI in production:** Replace the three `AddSingleton` calls with your Azure OpenAI `IChatClient` registration. `OllamaAiService`, the Application layer, MediatR handlers, and the controller require zero changes. + **What the caching decorator does:** `CachingAiChatService` wraps `OllamaAiService`. On the first call for a given `(message, systemPrompt)` pair, it calls Ollama and stores the reply. On subsequent identical calls within the TTL window, it returns the cached reply — skipping the 1–4 second Ollama inference. The `IAiResponseMetadata` flag tells the controller whether the response was a cache hit, which is surfaced as the `X-AI-Cache: HIT/MISS` response header. ### Step 7: Create the AI Controller @@ -334,13 +345,17 @@ cd ApiResources/TalentManagement-API dotnet run ``` -Open Swagger at `https://localhost:44378/swagger` and find the **Ai** section. +Open Swagger at `https://localhost:44378/swagger` and confirm the API is running — you'll see all controller groups listed. + +![NSwag Swagger UI for the TalentManagement .NET 10 Web API — all versioned controller groups collapsed](../../docs/screenshots/series-6-ai-app-features/swagger-ui-overview.png) -![Swagger UI AI controller expanded — POST /api/v1/ai/chat, POST /api/v1/ai/hr-insight, POST /api/v1/ai/nl-employee-search](../../Tests/AngularNetTutorial-Playwright/screenshots-output/series-2-dotnet-api/swagger-ai-endpoints.png) +Scroll down to find the **Ai** section and expand it. + +![Swagger UI AI controller expanded — POST /api/v1/ai/chat, POST /api/v1/ai/hr-insight, POST /api/v1/ai/nl-employee-search](../../docs/screenshots/series-6-ai-app-features/swagger-ai-endpoints.png) Click **POST /api/v1/ai/chat**, then **Try it out**, and send: -![Swagger UI POST /api/v1/ai/chat endpoint — request body schema with message and systemPrompt fields](../../Tests/AngularNetTutorial-Playwright/screenshots-output/series-2-dotnet-api/swagger-ai-chat-endpoint.png) +![Swagger UI POST /api/v1/ai/chat endpoint — request body schema with message and systemPrompt fields](../../docs/screenshots/series-6-ai-app-features/swagger-ai-chat-endpoint.png) Expand **POST /api/v1/ai/chat**, click **Try it out**, and send: @@ -362,7 +377,7 @@ curl -X POST https://localhost:44378/api/v1/ai/chat \ -d '{"message": "Explain JWT tokens in one paragraph."}' ``` -**To verify the feature flag** — set `"AiEnabled": false`, restart the API, and try the same curl. You'll get a `404` — the controller is invisible. +**To verify the feature flag** — set `"AiEnabled": false`, restart the API, and try the same curl. You'll get a `503 Service Unavailable` with a `detail` message explaining exactly what to enable. --- @@ -384,9 +399,11 @@ curl -X POST https://localhost:44378/api/v1/ai/chat \ ## 🌟 Why This Matters -OllamaSharp's native `IAsyncEnumerable<>` streaming means tokens appear progressively as Ollama generates them — critical when a local model takes several seconds per response. Buffering the entire reply before returning it would feel broken to users. +**Microsoft.Extensions.AI ships GA with .NET 10** — it is not a preview library. `IChatClient` is the platform-standard interface for chat completions, with first-party support from Microsoft and implementations across OpenAI, Azure OpenAI, Ollama (via OllamaSharp), and more. Building against `IChatClient` means your service layer is future-proof: new providers ship as NuGet packages, and switching is a one-line DI change. + +**OllamaSharp 5.x natively implements `IChatClient`.** The former `Microsoft.Extensions.AI.Ollama` adapter package has been deprecated in favor of OllamaSharp directly. That means one fewer dependency and no abstraction-over-an-abstraction: `OllamaApiClient` *is* the `IChatClient` — no adapter wrapper needed. -The custom `IAiChatService` interface pattern is the key architectural decision. It places the Ollama dependency entirely inside `Infrastructure.Shared`. Application-layer code (handlers, queries) and the controller depend only on the interface — they are completely unaware of OllamaSharp. When you are ready to move to a cloud provider (Azure OpenAI, Anthropic), you add a new infrastructure implementation and update one DI registration. Nothing else changes. +The custom `IAiChatService` interface adds a second layer of provider independence specific to this application's contract (`ChatAsync` with an optional system prompt). Application-layer code (handlers, queries) and the controller depend only on `IAiChatService` — they are completely unaware of MEA or OllamaSharp. When you are ready to move to a cloud provider, you register a different `IChatClient` (one line in ServiceRegistration.cs) and the rest of the codebase is untouched. For tutorial purposes, Ollama removes the biggest barrier to learning: access. Every developer on every OS can pull `llama3.2`, type `ollama serve`, and have a working LLM in their local environment. No billing, no configuration, no waiting for API access. @@ -394,8 +411,9 @@ The feature flag pattern ensures this is safe to ship: the codebase always build **Transferable skills:** +* **Microsoft.Extensions.AI** — `IChatClient` is the standard .NET 10 AI interface; the same pattern applies to OpenAI, Azure OpenAI, and any future MEA provider * **Custom service interface for AI** — The `IAiChatService` pattern applies to any AI provider; define the contract in Application, implement in Infrastructure -* **Feature flag architecture** — The `[FeatureGate]` pattern applies to any experimental or optional feature +* **Per-method feature flag checks** — `IsEnabledAsync` returning `503 Service Unavailable` is more developer-friendly than the `404` from `[FeatureGate]` on a class * **Clean Architecture for external services** — Interface in Application, implementation in Infrastructure, DI registration in WebApi --- diff --git a/blogs/series-6-ai-app-features/6.2-dotnet-ai-hr-assistant.md b/blogs/series-6-ai-app-features/6.2-dotnet-ai-hr-assistant.md index f60b043..1da7b57 100644 --- a/blogs/series-6-ai-app-features/6.2-dotnet-ai-hr-assistant.md +++ b/blogs/series-6-ai-app-features/6.2-dotnet-ai-hr-assistant.md @@ -6,7 +6,7 @@ Generic chatbots answer generic questions. What makes an AI assistant useful in This article shows you how to build a data-aware HR assistant that pulls live workforce metrics from the database, injects them into the LLM prompt, and returns answers grounded in your actual data — not hallucinated statistics. -![HR Insight page showing a data-grounded Ollama answer — references live department headcounts, execution time shown below reply](../../Tests/AngularNetTutorial-Playwright/screenshots-output/series-6-ai-app-features/ai-hr-insight-with-answer.png) +![HR Insight page showing a data-grounded Ollama answer — references live department headcounts, execution time shown below reply](../../docs/screenshots/series-6-ai-app-features/ai-hr-insight-with-answer.png) 📖 **Tutorial Repository:** [AngularNetTutorial on GitHub](https://github.com/workcontrolgit/AngularNetTutorial) @@ -50,6 +50,8 @@ This is the classic **hallucination problem**: LLMs generate plausible-sounding For HR dashboard metrics — totals, distributions, recent hires — direct context injection is the right choice. The data is small (a few dozen lines of text), always current, and exactly what the LLM needs. +![Dashboard showing KPI metric cards — total employees, departments, new hires, and Chart.js charts — the same data injected into the LLM system prompt](../../docs/screenshots/series-6-ai-app-features/dashboard-metrics-charts.png) + --- ## 💡 The Solution @@ -274,6 +276,8 @@ dotnet run Open Swagger at `https://localhost:44378/swagger` and find **POST /api/v1/ai/hr-insight**. +![Swagger UI AI controller expanded — POST /ai/chat, POST /ai/hr-insight, POST /ai/nl-employee-search](../../docs/screenshots/series-6-ai-app-features/swagger-ai-endpoints.png) + Try these questions: ```json @@ -305,6 +309,8 @@ Try these questions: } ``` +![HR Insight page showing a data-grounded Ollama answer — references live department headcounts, execution time shown below reply](../../docs/screenshots/series-6-ai-app-features/ai-hr-insight-with-answer.png) + **To test the feature flag** — set `"AiEnabled": false` in `appsettings.json` and restart the API. Both `/ai/chat` and `/ai/hr-insight` return `503 Service Unavailable`. No other endpoints are affected. --- @@ -319,7 +325,7 @@ Every call to `POST /api/v1/ai/hr-insight`: If you add 10 new employees and ask "How many employees do we have?", the answer reflects the current count — not a cached snapshot from startup. -**Performance note:** Each request makes two I/O calls — one database query and one Ollama inference. The database query is fast (milliseconds). Ollama inference with `llama3.2` typically takes 1–4 seconds on a modern laptop. Article 6.6 will add caching for repeated identical questions. +**Performance note:** Each request makes two I/O calls — one database query and one Ollama inference. The database query is fast (milliseconds). Ollama inference with `llama3.2` typically takes 1–4 seconds on a modern laptop. Article 6.8 will add caching for repeated identical questions. --- diff --git a/blogs/series-6-ai-app-features/6.3-angular-ai-chat-widget.md b/blogs/series-6-ai-app-features/6.3-angular-ai-chat-widget.md index 1e2da1f..3c3a0be 100644 --- a/blogs/series-6-ai-app-features/6.3-angular-ai-chat-widget.md +++ b/blogs/series-6-ai-app-features/6.3-angular-ai-chat-widget.md @@ -4,7 +4,7 @@ AI features deserve their own section. This article adds a proper **AI submenu** to the TalentManagement Angular app — four dedicated pages, each with a single responsibility, registered as children of an `ai` route group in the sidebar. Each page is a standalone Angular component with its own route, template, and styles. -![Dashboard with the AI submenu expanded in the sidebar — four child items: AI Assistant, HR Insight, NL Search, Vector Search](../../Tests/AngularNetTutorial-Playwright/screenshots-output/series-6-ai-app-features/ai-submenu-sidebar.png) +![Dashboard with the AI submenu expanded in the sidebar — four child items: AI Assistant, HR Insight, NL Search, Vector Search](../../docs/screenshots/series-6-ai-app-features/ai-submenu-sidebar.png) 📖 **Tutorial Repository:** [AngularNetTutorial on GitHub](https://github.com/workcontrolgit/AngularNetTutorial) @@ -19,7 +19,6 @@ This article is part of the **AngularNetTutorial** series. The full-stack tutori * **Angular nested child routes** — How to register a `{ path: 'ai', children: [...] }` block so four pages share the same `/ai/*` URL prefix * **Sidebar sub-menu in ng-matero** — Adding a `"type": "sub"` entry with children to `menu.json` and translation keys in `en-US.json` * **One component, one responsibility** — Why extracting each AI feature into its own standalone component is better than growing a single tabbed component -* **Backward-compatibility redirect** — How `{ path: 'ai-chat', redirectTo: 'ai/assistant' }` keeps old bookmarks working after a route rename * **`AiService`** — A lightweight, focused service that calls the AI endpoints without inheriting the base CRUD service --- @@ -317,7 +316,7 @@ See the repository for the full files in: The key change from the old approach is **nesting** the four AI routes under a parent `ai` path. -**`src/app/app.routes.ts`** — replace the old flat `ai-chat` route: +**`src/app/app.routes.ts`** — add the nested `ai` route group: ```typescript import { AiAssistantComponent } from './routes/ai/ai-assistant/ai-assistant.component'; @@ -336,22 +335,17 @@ import { AiVectorSearchComponent } from './routes/ai/ai-vector-search/ai-vector- { path: '', redirectTo: 'assistant', pathMatch: 'full' }, ], }, -{ path: 'ai-chat', redirectTo: 'ai/assistant', pathMatch: 'full' }, ``` **Why a `children` block instead of flat routes?** Flat routes like `{ path: 'ai/assistant', component: ... }` would work for navigation but the URL structure would not be understood by the ng-matero sidebar. The sidebar resolves `route: "assistant"` relative to the parent `route: "ai"` — the routes file must mirror this nesting for the active-route highlighting to work correctly. -**Why keep the backward-compat redirect?** - -Any bookmarks, Playwright tests, or external links pointing to `/ai-chat` will silently redirect to `/ai/assistant` without a 404 or broken navigation. - --- ### Step 5: Add the Sidebar Sub-Menu -**`public/data/menu.json`** — replace the old `ai-chat` entry: +**`public/data/menu.json`** — add the AI sub-menu group: ```json { @@ -409,9 +403,9 @@ Open `http://localhost:4200` → log in → expand **AI** in the sidebar. **Test AI Assistant (`/ai/assistant`):** -![Full AI Assistant page at /ai/assistant — chat card with message input when aiEnabled is true](../../Tests/AngularNetTutorial-Playwright/screenshots-output/series-6-ai-app-features/ai-assistant-page-full.png) +![Full AI Assistant page at /ai/assistant — chat card with message input when aiEnabled is true](../../docs/screenshots/series-6-ai-app-features/ai-assistant-page-full.png) -![AI Assistant page — empty state before any messages, showing the "Start a conversation" prompt](../../Tests/AngularNetTutorial-Playwright/screenshots-output/series-6-ai-app-features/ai-assistant-empty-state.png) +![AI Assistant page — empty state before any messages, showing the "Start a conversation" prompt](../../docs/screenshots/series-6-ai-app-features/ai-assistant-empty-state.png) ``` What are the best practices for structuring a .NET Clean Architecture project? @@ -419,14 +413,11 @@ What are the best practices for structuring a .NET Clean Architecture project? **Test HR Insight (`/ai/hr-insight`):** -![HR Insight page at /ai/hr-insight — empty state showing four suggestion buttons and the question input](../../Tests/AngularNetTutorial-Playwright/screenshots-output/series-6-ai-app-features/ai-hr-insight-empty.png) +![HR Insight page at /ai/hr-insight — empty state showing four suggestion buttons and the question input](../../docs/screenshots/series-6-ai-app-features/ai-hr-insight-empty.png) Click a suggestion chip — *"Which department has the most employees?"* — and wait for the live data answer. -![HR Insight page showing a data-grounded Ollama answer — references live department headcounts, execution time shown below reply](../../Tests/AngularNetTutorial-Playwright/screenshots-output/series-6-ai-app-features/ai-hr-insight-with-answer.png) - -**Test the backward-compat redirect:** -Navigate to `http://localhost:4200/ai-chat` — it should silently redirect to `/ai/assistant`. +![HR Insight page showing a data-grounded Ollama answer — references live department headcounts, execution time shown below reply](../../docs/screenshots/series-6-ai-app-features/ai-hr-insight-with-answer.png) **Test the disabled state:** Set `aiEnabled: false` → hot-reload → all four pages show the info banner. @@ -441,10 +432,10 @@ src/app/ │ ├── ai-assistant/ ← general chat │ ├── ai-hr-insight/ ← HR data-aware chat │ ├── ai-nl-search/ ← NL employee search (Article 6.4) -│ └── ai-vector-search/ ← semantic position search (Article 6.5) +│ └── ai-vector-search/ ← semantic position search (Article 6.6) ├── services/api/ │ └── ai.service.ts ← AiService (4 methods) -└── app.routes.ts ← nested ai children + backward-compat redirect +└── app.routes.ts ← nested ai children public/ ├── data/menu.json ← ai sub-menu entry with 4 children @@ -466,7 +457,7 @@ public/ * ✅ Four focused pages — each component is ~80 lines, easy to read and test independently * ✅ Clean URL structure — `/ai/assistant`, `/ai/hr-insight`, `/ai/nl-search`, `/ai/vector-search` * ✅ Sidebar group — users discover all four AI features naturally via the collapsible sub-menu -* ✅ Backward-compat redirect — any old `/ai-chat` bookmarks silently redirect to `/ai/assistant` + --- @@ -502,8 +493,8 @@ The refactoring from tabs to child routes mirrors how any growing feature sectio * [Build an HR AI Assistant That Knows Your Data](6.2-dotnet-ai-hr-assistant.md) — HR AI Assistant (Series 6.2) * **This Article** — Build a Dedicated AI Section in Angular with Submenu Navigation (Series 6.3) * [Natural Language Employee Search in Angular Material](6.4-angular-ai-nl-search.md) — NL Search Angular (Series 6.4) -* [Natural Language Employee Search with LLM Query Parsing](6.4.1-dotnet-natural-language-search.md) — NL Search .NET backend (Series 6.4.1) -* [Semantic Position Search with Vector Embeddings](6.5-angular-ai-vector-search.md) — Vector Search (Series 6.5) +* [Natural Language Employee Search with LLM Query Parsing](6.5-dotnet-natural-language-search.md) — NL Search .NET backend (Series 6.5) +* [Semantic Position Search with Vector Embeddings](6.6-angular-ai-vector-search.md) — Vector Search (Series 6.6) --- diff --git a/blogs/series-6-ai-app-features/6.4-angular-ai-nl-search.md b/blogs/series-6-ai-app-features/6.4-angular-ai-nl-search.md index f524bd2..f5e8c6c 100644 --- a/blogs/series-6-ai-app-features/6.4-angular-ai-nl-search.md +++ b/blogs/series-6-ai-app-features/6.4-angular-ai-nl-search.md @@ -4,7 +4,7 @@ HR managers don't think in filter fields. They think in sentences: *"Show me all software engineers hired in the last 6 months"* or *"Find employees in IT with a salary above $80,000."* This article adds a dedicated **Natural Language Search** page to the TalentManagement Angular app — a text input that accepts a plain-English query, sends it to the LLM for parsing, then fires a structured API call using the extracted filters. -![Natural Language Search page at /ai/nl-search — empty state with search input and prompt to type a query](../../Tests/AngularNetTutorial-Playwright/screenshots-output/series-6-ai-app-features/ai-nl-search-empty.png) +![Natural Language Search page at /ai/nl-search — empty state with search input and prompt to type a query](../../docs/screenshots/series-6-ai-app-features/ai-nl-search-empty.png) 📖 **Tutorial Repository:** [AngularNetTutorial on GitHub](https://github.com/workcontrolgit/AngularNetTutorial) @@ -31,15 +31,17 @@ This article is part of the **AngularNetTutorial** series. The full-stack tutori * **Article 6.1 complete** — `POST /api/v1/ai/chat` endpoint working * **Article 6.2 complete** — `POST /api/v1/ai/hr-insight` endpoint working * **Article 6.3 complete** — AI submenu in place, `ai-nl-search` component scaffolded, `AiService` with `nlEmployeeSearch()` method -* **Article 6.4.1 (.NET) complete** — `POST /api/v1/ai/nl-employee-search` endpoint working (the backend for this feature) +* **Article 6.5 (.NET) complete** — `POST /api/v1/ai/nl-employee-search` endpoint working (the backend for this feature) * **`AiEnabled: true`** in the API's `appsettings.json` for local testing -> **Note:** The .NET endpoint for natural language employee search is documented in Article 6.4.1. If you are following this article first (to understand the Angular side), you can still build and run the component — it will show an error until the API endpoint exists. +> **Note:** The .NET endpoint for natural language employee search is documented in Article 6.5. If you are following this article first (to understand the Angular side), you can still build and run the component — it will show an error until the API endpoint exists. --- ## 🎯 What We're Building +![Dashboard with the AI submenu expanded — AI Assistant, HR Insight, NL Search, Vector Search child items visible](../../docs/screenshots/series-6-ai-app-features/ai-submenu-sidebar.png) + A dedicated **NL Search** page at `/ai/nl-search`: * A single text input — type a plain-English description of the employees you want @@ -331,6 +333,8 @@ export class AiNlSearchComponent implements OnDestroy { Navigate to `http://localhost:4200/ai/nl-search`. +![Natural Language Search page at /ai/nl-search — empty state with search input and prompt to type a query](../../docs/screenshots/series-6-ai-app-features/ai-nl-search-empty.png) + **Try these queries:** ``` @@ -435,7 +439,7 @@ The LLM stays out of the data layer. It only translates human intent into the pa * [Build an HR AI Assistant That Knows Your Data](6.2-dotnet-ai-hr-assistant.md) — HR AI Assistant (Series 6.2) * [Build a Dedicated AI Section in Angular with Submenu Navigation](6.3-angular-ai-chat-widget.md) — AI Submenu (Series 6.3) * **This Article** — Natural Language Employee Search in Angular Material (Series 6.4) -* [Semantic Position Search with Vector Embeddings](6.5-angular-ai-vector-search.md) — Vector Search (Series 6.5) +* [Semantic Position Search with Vector Embeddings](6.6-angular-ai-vector-search.md) — Vector Search (Series 6.6) --- diff --git a/blogs/series-6-ai-app-features/6.4.1-dotnet-natural-language-search.md b/blogs/series-6-ai-app-features/6.5-dotnet-natural-language-search.md similarity index 98% rename from blogs/series-6-ai-app-features/6.4.1-dotnet-natural-language-search.md rename to blogs/series-6-ai-app-features/6.5-dotnet-natural-language-search.md index 6839c6d..28c2499 100644 --- a/blogs/series-6-ai-app-features/6.4.1-dotnet-natural-language-search.md +++ b/blogs/series-6-ai-app-features/6.5-dotnet-natural-language-search.md @@ -8,7 +8,7 @@ What if users could type *"find all engineers"* or *"show me employees named Smi This article shows you how to use an LLM as a **query translator** — converting plain English into the structured filter parameters your existing API already understands. The LLM never touches your database. It simply bridges the gap between human language and machine query syntax. -![Natural Language Search page at /ai/nl-search — single text input, type a plain-English description of the employees you are looking for](../../Tests/AngularNetTutorial-Playwright/screenshots-output/series-6-ai-app-features/ai-nl-search-empty.png) +![Natural Language Search page at /ai/nl-search — single text input, type a plain-English description of the employees you are looking for](../../docs/screenshots/series-6-ai-app-features/ai-nl-search-empty.png) 📖 **Tutorial Repository:** [AngularNetTutorial on GitHub](https://github.com/workcontrolgit/AngularNetTutorial) @@ -620,7 +620,9 @@ Set `aiEnabled: false` in `environment.ts` → hot-reload → navigate to Employ **Verify in Swagger:** -Navigate to `https://localhost:44378/swagger` → open `POST /api/v1/ai/nl-employee-search`: +Navigate to `https://localhost:44378/swagger` → open `POST /api/v1/ai/nl-employee-search`. + +![Swagger UI AI controller expanded — POST /ai/chat, POST /ai/hr-insight, POST /ai/nl-employee-search](../../docs/screenshots/series-6-ai-app-features/swagger-ai-endpoints.png) ```json { "query": "find all software engineers" } @@ -749,8 +751,8 @@ Using an LLM as a **query translator** — input: natural language, output: stru * [Build an HR AI Assistant That Knows Your Data](6.2-dotnet-ai-hr-assistant.md) — HR AI Assistant (Series 6.2) * [Build a Dedicated AI Section in Angular with Submenu Navigation](6.3-angular-ai-chat-widget.md) — AI Submenu (Series 6.3) * [Natural Language Employee Search in Angular Material](6.4-angular-ai-nl-search.md) — NL Search Angular (Series 6.4) -* **This Article** — Natural Language Employee Search with LLM Query Parsing (Series 6.4.1 — .NET backend for 6.4) -* [Cache Your AI Responses: Save Time and API Costs](6.6-dotnet-ai-response-caching.md) — AI Response Caching (Series 6.6) +* **This Article** — Natural Language Employee Search with LLM Query Parsing (Series 6.5) +* [Cache Your AI Responses: Save Time and API Costs](6.8-dotnet-ai-response-caching.md) — AI Response Caching (Series 6.8) --- diff --git a/blogs/series-6-ai-app-features/6.5-angular-ai-vector-search.md b/blogs/series-6-ai-app-features/6.6-angular-ai-vector-search.md similarity index 96% rename from blogs/series-6-ai-app-features/6.5-angular-ai-vector-search.md rename to blogs/series-6-ai-app-features/6.6-angular-ai-vector-search.md index 5cf6903..eb21ebf 100644 --- a/blogs/series-6-ai-app-features/6.5-angular-ai-vector-search.md +++ b/blogs/series-6-ai-app-features/6.6-angular-ai-vector-search.md @@ -4,7 +4,7 @@ Keyword search fails for positions. A user who types *"cloud infrastructure role"* will miss positions titled *"DevOps Engineer"* or *"Platform SRE"* — even if those roles are exactly what they're looking for. This article adds a dedicated **Vector Search** page to the TalentManagement app — a semantic search that finds positions by *meaning*, not exact text match. -![Vector Search page at /ai/vector-search — empty state with search input and prompt to describe a position](../../Tests/AngularNetTutorial-Playwright/screenshots-output/series-6-ai-app-features/ai-vector-search-empty.png) +![Vector Search page at /ai/vector-search — empty state with search input and prompt to describe a position](../../docs/screenshots/series-6-ai-app-features/ai-vector-search-empty.png) 📖 **Tutorial Repository:** [AngularNetTutorial on GitHub](https://github.com/workcontrolgit/AngularNetTutorial) @@ -43,6 +43,8 @@ This article is part of the **AngularNetTutorial** series. The full-stack tutori ## 🎯 What We're Building +![Dashboard with the AI submenu expanded — AI Assistant, HR Insight, NL Search, Vector Search child items visible](../../docs/screenshots/series-6-ai-app-features/ai-submenu-sidebar.png) + A dedicated **Vector Search** page at `/ai/vector-search`: * A single text input — describe the position you're looking for in natural language @@ -304,6 +306,8 @@ export class AiVectorSearchComponent implements OnDestroy { Navigate to `http://localhost:4200/ai/vector-search`. +![Vector Search page at /ai/vector-search — empty state with search input and prompt to describe a position](../../docs/screenshots/series-6-ai-app-features/ai-vector-search-empty.png) + **Try these queries:** ``` @@ -380,7 +384,7 @@ src/app/ * [Build an HR AI Assistant That Knows Your Data](6.2-dotnet-ai-hr-assistant.md) — HR AI Assistant (Series 6.2) * [Build a Dedicated AI Section in Angular with Submenu Navigation](6.3-angular-ai-chat-widget.md) — AI Submenu (Series 6.3) * [Natural Language Employee Search in Angular Material](6.4-angular-ai-nl-search.md) — NL Search (Series 6.4) -* **This Article** — Semantic Position Search with Vector Embeddings (Series 6.5) +* **This Article** — Semantic Position Search with Vector Embeddings (Series 6.6) --- diff --git a/blogs/series-6-ai-app-features/6.7-dotnet-mssql-vector-search.md b/blogs/series-6-ai-app-features/6.7-dotnet-mssql-vector-search.md index 026bfca..62a5c73 100644 --- a/blogs/series-6-ai-app-features/6.7-dotnet-mssql-vector-search.md +++ b/blogs/series-6-ai-app-features/6.7-dotnet-mssql-vector-search.md @@ -13,7 +13,7 @@ This article adds semantic search to the **Position list page** using: * **EF Core 10 `EF.Functions.VectorDistance`** — LINQ query, no raw SQL strings * **Angular search bar** — same progressive-enhancement pattern as NL search in Article 6.5 -![Vector Search page at /ai/vector-search — semantic position search powered by SQL Server native vector columns and Ollama nomic-embed-text embeddings](../../Tests/AngularNetTutorial-Playwright/screenshots-output/series-6-ai-app-features/ai-vector-search-empty.png) +![Vector Search page at /ai/vector-search — semantic position search powered by SQL Server native vector columns and Ollama nomic-embed-text embeddings](../../docs/screenshots/series-6-ai-app-features/ai-vector-search-empty.png) 📖 **Tutorial Repository:** [AngularNetTutorial on GitHub](https://github.com/workcontrolgit/AngularNetTutorial) @@ -625,6 +625,8 @@ ollama serve Navigate to `https://localhost:44378/swagger` → `POST /api/v1/positions/generate-embeddings` → Execute. +![Swagger UI AI controller expanded — POST /ai/chat, POST /ai/hr-insight, POST /ai/nl-employee-search](../../docs/screenshots/series-6-ai-app-features/swagger-ai-endpoints.png) + Expected response: `{ "generated": 25 }` (or however many positions exist) **Test semantic search via Swagger:** @@ -639,6 +641,8 @@ Expected: positions ranked by cosine similarity — titles like "DevOps Engineer Navigate to `http://localhost:4200` → Positions → type in the semantic search bar. +![Angular Material data table listing employees — same sortable table pattern used for position results with semantic match scores](../../docs/screenshots/series-6-ai-app-features/employee-list-table.png) + * *"data scientist"* — returns data-related positions ranked by similarity * *"manages people and projects"* — returns manager/director positions * *"builds web applications"* — returns developer/engineer positions @@ -723,7 +727,7 @@ The two search modes are **complementary**. Keyword filters are fast and precise * [Add an AI Chat Widget to Angular with Material Design](6.3-angular-ai-chat-widget.md) — AI Chat Widget (Series 6.3) * [AI-Generated Dashboard Insights in Angular Material](6.4-angular-ai-dashboard-insights.md) — Dashboard Insights (Series 6.4) * [Natural Language Employee Search with LLM Query Parsing](6.5-dotnet-natural-language-search.md) — NL Search (Series 6.5) -* [Cache Your AI Responses: Save Time and API Costs](6.6-dotnet-ai-response-caching.md) — AI Caching (Series 6.6) +* [Cache Your AI Responses: Save Time and API Costs](6.8-dotnet-ai-response-caching.md) — AI Caching (Series 6.8) * **This Article** — Semantic Position Search with SQL Server Vector Search (Series 6.7) --- diff --git a/blogs/series-6-ai-app-features/6.6-dotnet-ai-response-caching.md b/blogs/series-6-ai-app-features/6.8-dotnet-ai-response-caching.md similarity index 97% rename from blogs/series-6-ai-app-features/6.6-dotnet-ai-response-caching.md rename to blogs/series-6-ai-app-features/6.8-dotnet-ai-response-caching.md index 5c267f3..dd259da 100644 --- a/blogs/series-6-ai-app-features/6.6-dotnet-ai-response-caching.md +++ b/blogs/series-6-ai-app-features/6.8-dotnet-ai-response-caching.md @@ -10,7 +10,7 @@ The fix is a **cache-aside decorator** — a wrapper around `IAiChatService` tha This article shows you how to build that decorator using the EasyCaching infrastructure already in the TalentManagement API, and how to expose cache status to API consumers via an `X-AI-Cache: HIT/MISS` response header. -![HR Insight page showing AI response with execution time — the cache decorator reduces repeat query times from seconds to milliseconds](../../Tests/AngularNetTutorial-Playwright/screenshots-output/series-6-ai-app-features/ai-hr-insight-with-answer.png) +![HR Insight page showing AI response with execution time — the cache decorator reduces repeat query times from seconds to milliseconds](../../docs/screenshots/series-6-ai-app-features/ai-hr-insight-with-answer.png) 📖 **Tutorial Repository:** [AngularNetTutorial on GitHub](https://github.com/workcontrolgit/AngularNetTutorial) @@ -301,7 +301,9 @@ return result.IsSuccess **Start the stack and verify via Swagger:** -Navigate to `https://localhost:44378/swagger` → `POST /api/v1/ai/chat`: +Navigate to `https://localhost:44378/swagger` → `POST /api/v1/ai/chat`. + +![Swagger UI AI controller expanded — POST /ai/chat, POST /ai/hr-insight, POST /ai/nl-employee-search](../../docs/screenshots/series-6-ai-app-features/swagger-ai-endpoints.png) ```json { "message": "What is Clean Architecture?" } @@ -415,7 +417,7 @@ Each decorator wraps the previous one. The controller always calls `IAiChatServi * [Add an AI Chat Widget to Angular with Material Design](6.3-angular-ai-chat-widget.md) — AI Chat Widget (Series 6.3) * [AI-Generated Dashboard Insights in Angular Material](6.4-angular-ai-dashboard-insights.md) — Dashboard Insights (Series 6.4) * [Natural Language Employee Search with LLM Query Parsing](6.5-dotnet-natural-language-search.md) — NL Search (Series 6.5) -* **This Article** — Cache Your AI Responses (Series 6.6) +* **This Article** — Cache Your AI Responses (Series 6.8) * [Semantic Employee Search with MSSQL 2025 Native Vector Search](6.7-dotnet-mssql-vector-search.md) — Vector Search (Series 6.7) --- diff --git a/docs/images/angular/angular-image-catalog.md b/docs/screenshots/angular/angular-image-catalog.md similarity index 100% rename from docs/images/angular/angular-image-catalog.md rename to docs/screenshots/angular/angular-image-catalog.md diff --git a/docs/images/angular/angular-login-page.png 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docs/screenshots/angular/user-menu-logout-link.png diff --git a/docs/images/identityserver/identityserver-admin-dashboard.png b/docs/screenshots/identityserver/identityserver-admin-dashboard.png similarity index 100% rename from docs/images/identityserver/identityserver-admin-dashboard.png rename to docs/screenshots/identityserver/identityserver-admin-dashboard.png diff --git a/docs/images/identityserver/identityserver-client-talentmanagement-advanced-grant-types.png b/docs/screenshots/identityserver/identityserver-client-talentmanagement-advanced-grant-types.png similarity index 100% rename from docs/images/identityserver/identityserver-client-talentmanagement-advanced-grant-types.png rename to docs/screenshots/identityserver/identityserver-client-talentmanagement-advanced-grant-types.png diff --git a/docs/images/identityserver/identityserver-client-talentmanagement-advanced-token.png b/docs/screenshots/identityserver/identityserver-client-talentmanagement-advanced-token.png 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You can see all the controller groups — Employees, Departments, Positions, and the AI endpoints added in Series 6.", + "articles": [ + "0.1", + "2.1", + "2.4", + "6.1" + ], + "tags": [ + "swagger", + "api", + "dotnet", + "nswag", + "overview" + ], + "useFor": "Show the API is running and document the full endpoint surface." + }, + { + "path": "screenshots-output/series-1-authentication/identityserver-login-form.png", + "audioPath": "screenshots-output/series-1-authentication/identityserver-login-form.wav", + "series": "series-1-authentication", + "filename": "identityserver-login-form.png", + "capturedAt": "2026-04-22T03:37:23.444Z", + "description": "Duende IdentityServer 7.0 login page — Username and Password fields, Login button. Reached after clicking Login in the Angular user menu.", + "narration": "Clicking Login redirects to Duende IdentityServer — the token service in our CAT architecture. Enter your username and password here to receive an ID token and access token via the OAuth 2.0 PKCE flow.", + "articles": [ + "1.1" + ], + "tags": [ + "identityserver", + "login", + "oauth2", + "oidc", + "pkce" + ], + "useFor": "Illustrate the OIDC redirect step in the OAuth 2.0 PKCE flow." + }, + { + "path": "screenshots-output/series-1-authentication/user-menu-anonymous.png", + "audioPath": "screenshots-output/series-1-authentication/user-menu-anonymous.wav", + "series": "series-1-authentication", + "filename": "user-menu-anonymous.png", + "capturedAt": "2026-04-22T03:37:37.810Z", + "description": "Angular app header user menu expanded in anonymous state — shows only the Login option.", + "narration": "Clicking the user icon in the top right opens a dropdown with a single Login option. This is where users start the OAuth 2.0 login flow.", + "articles": [ + "1.1" + ], + "tags": [ + "user-menu", + "anonymous", + "header", + "login-button" + ], + "useFor": "Show where users click to initiate the OIDC login flow." + }, + { + "path": "screenshots-output/series-1-authentication/dashboard-authenticated.png", + "audioPath": "screenshots-output/series-1-authentication/dashboard-authenticated.wav", + "series": "series-1-authentication", + "filename": "dashboard-authenticated.png", + "capturedAt": "2026-04-22T03:37:59.494Z", + "description": "TalentManagement dashboard after successful OAuth 2.0 PKCE login as Manager — metrics cards, sidebar with manager-visible items, authenticated user avatar in header.", + "narration": "After a successful login, IdentityServer redirects back to the Angular app with an access token. The dashboard loads with live workforce metrics, and the sidebar now shows the Manager's available features.", + "articles": [ + "1.1", + "1.2", + "1.4" + ], + "tags": [ + "dashboard", + "authenticated", + "manager", + "post-login", + "oauth2" + ], + "useFor": "Hero image showing the successful result of the OIDC login flow." + }, + { + "path": "screenshots-output/series-1-authentication/user-menu-authenticated.png", + "audioPath": "screenshots-output/series-1-authentication/user-menu-authenticated.wav", + "series": "series-1-authentication", + "filename": "user-menu-authenticated.png", + "capturedAt": "2026-04-22T03:38:21.333Z", + "description": "Angular app header user menu after login — shows Profile, Settings, and Logout options alongside the authenticated username.", + "narration": "Once logged in, the user menu expands to show Profile, Settings, and Logout. The Profile page is particularly useful for inspecting the ID token and access token returned by IdentityServer.", + "articles": [ + "1.1", + "1.2" + ], + "tags": [ + "user-menu", + "authenticated", + "header", + "logout", + "profile" + ], + "useFor": "Show the post-login user menu options including Profile and Logout." + }, + { + "path": "screenshots-output/series-1-authentication/sidebar-hradmin-full-menu.png", + "audioPath": "screenshots-output/series-1-authentication/sidebar-hradmin-full-menu.wav", + "series": "series-1-authentication", + "filename": "sidebar-hradmin-full-menu.png", + "capturedAt": "2026-04-22T03:38:40.992Z", + "description": "Sidebar as seen by HRAdmin role — all menu items visible including Positions, Salary Ranges, and AI Assistant.", + "narration": "Logged in as HRAdmin, the sidebar shows the complete menu including Positions, Salary Ranges, and the AI Assistant — features restricted to the administrator role using ngx-permissions.", + "articles": [ + "1.4" + ], + "tags": [ + "sidebar", + "hradmin", + "role-based-ui", + "menu", + "ngx-permissions" + ], + "useFor": "Contrast with the Manager sidebar to demonstrate role-based UI rendering." + }, + { + "path": "screenshots-output/series-1-authentication/sidebar-manager-limited-menu.png", + "audioPath": "screenshots-output/series-1-authentication/sidebar-manager-limited-menu.wav", + "series": "series-1-authentication", + "filename": "sidebar-manager-limited-menu.png", + "capturedAt": "2026-04-22T03:39:02.444Z", + "description": "Sidebar as seen by Manager role — Positions and Salary Ranges hidden; only Employee and Department management visible.", + "narration": "As a Manager, the sidebar shows only Employee and Department management. Positions and Salary Ranges are hidden — ngx-permissions reads the roles claim from the access token and removes those menu items automatically.", + "articles": [ + "1.4" + ], + "tags": [ + "sidebar", + "manager", + "role-based-ui", + "menu", + "ngx-permissions" + ], + "useFor": "Pair with the HRAdmin sidebar for a before/after role comparison." + }, + { + "path": "screenshots-output/series-1-authentication/identityserver-logout-screen.png", + "audioPath": "screenshots-output/series-1-authentication/identityserver-logout-screen.wav", + "series": "series-1-authentication", + "filename": "identityserver-logout-screen.png", + "capturedAt": "2026-04-22T03:39:26.001Z", + "description": "Duende IdentityServer logout confirmation screen with a \"click here\" link to return to the Angular app.", + "narration": "Logout is handled by IdentityServer, not Angular. This screen confirms the session has been terminated. Clicking the link returns to the Angular app in Guest mode.", + "articles": [ + "1.1" + ], + "tags": [ + "identityserver", + "logout", + "oauth2", + "oidc", + "session" + ], + "useFor": "Illustrate the IdentityServer-managed logout redirect step." + }, + { + "path": "screenshots-output/series-2-dotnet-api/swagger-employees-endpoints.png", + "audioPath": "screenshots-output/series-2-dotnet-api/swagger-employees-endpoints.wav", + "series": "series-2-dotnet-api", + "filename": "swagger-employees-endpoints.png", + "capturedAt": "2026-04-22T03:39:44.273Z", + "description": "Swagger UI Employees controller expanded — GET, POST, PUT, DELETE endpoints with versioning and JWT lock icons.", + "narration": "The Employees controller exposes a full set of versioned REST endpoints. The lock icons indicate which routes require a Bearer token — in this case all of them except the read endpoint for anonymous access.", + "articles": [ + "2.1", + "2.3", + "2.4" + ], + "tags": [ + "swagger", + "employees", + "crud", + "versioning", + "jwt", + "dotnet" + ], + "useFor": "Document the employee CRUD API surface and JWT auth requirement." + }, + { + "path": "screenshots-output/series-2-dotnet-api/swagger-ai-endpoints.png", + "audioPath": "screenshots-output/series-2-dotnet-api/swagger-ai-endpoints.wav", + "series": "series-2-dotnet-api", + "filename": "swagger-ai-endpoints.png", + "capturedAt": "2026-04-22T03:40:08.777Z", + "description": "Swagger UI AI controller expanded — POST /ai/chat, POST /ai/hr-insight, POST /ai/nl-employee-search.", + "narration": "Series 6 adds an AI controller with three endpoints. The chat endpoint accepts any question. The H R insight endpoint grounds the answer in live workforce data. And the natural language search endpoint parses plain English into structured employee filter parameters.", + "articles": [ + "6.1", + "6.2", + "6.5" + ], + "tags": [ + "swagger", + "ai", + "chat", + "hr-insight", + "nl-search", + "ollama" + ], + "useFor": "Show the full AI endpoint surface after enabling the AiEnabled feature flag." + }, + { + "path": "screenshots-output/series-2-dotnet-api/swagger-ai-chat-endpoint.png", + "audioPath": "screenshots-output/series-2-dotnet-api/swagger-ai-chat-endpoint.wav", + "series": "series-2-dotnet-api", + "filename": "swagger-ai-chat-endpoint.png", + "capturedAt": "2026-04-22T03:40:29.555Z", + "description": "Swagger UI POST /api/v1/ai/chat endpoint expanded — shows request body schema with message and systemPrompt fields.", + "narration": "The chat endpoint accepts two fields: message is the question to ask, and systemPrompt is an optional instruction that controls the AI's persona or constraints. Both are plain strings — no special formatting required.", + "articles": [ + "6.1" + ], + "tags": [ + "swagger", + "ai", + "chat", + "request-body", + "system-prompt" + ], + "useFor": "Illustrate how to test the AI chat endpoint from Swagger in Article 6.1." + }, + { + "path": "screenshots-output/series-3-angular-material/dashboard-metrics-charts.png", + "audioPath": "screenshots-output/series-3-angular-material/dashboard-metrics-charts.wav", + "series": "series-3-angular-material", + "filename": "dashboard-metrics-charts.png", + "capturedAt": "2026-04-22T03:40:55.796Z", + "description": "Dashboard showing KPI metric cards (total employees, departments, new hires) and Chart.js bar/doughnut charts for department and gender distribution.", + "narration": "The dashboard displays live workforce metrics as Material Design cards and Chart.js visualisations. The data comes from a single API call to the dashboard metrics endpoint, which aggregates counts across employees, departments, and positions.", + "articles": [ + "3.1", + "3.4", + "6.4" + ], + "tags": [ + "dashboard", + "charts", + "metrics", + "angular-material", + "chartjs", + "kpi" + ], + "useFor": "Hero image for dashboard articles; base screenshot for AI insights overlay comparison in Series 6." + }, + { + "path": "screenshots-output/series-3-angular-material/employee-list-table.png", + "audioPath": "screenshots-output/series-3-angular-material/employee-list-table.wav", + "series": "series-3-angular-material", + "filename": "employee-list-table.png", + "capturedAt": "2026-04-22T03:41:14.961Z", + "description": "Angular Material data table listing employees — sortable columns, pagination controls, and a search/filter bar.", + "narration": "The employee list uses an Angular Material data table with server-side sorting and pagination. The search bar filters results by name or department without reloading the page.", + "articles": [ + "3.1", + "6.5" + ], + "tags": [ + "employee-list", + "data-table", + "pagination", + "sorting", + "angular-material" + ], + "useFor": "Illustrate the Material Design data table component and the employee list feature." + }, + { + "path": "screenshots-output/series-3-angular-material/employee-create-form.png", + "audioPath": "screenshots-output/series-3-angular-material/employee-create-form.wav", + "series": "series-3-angular-material", + "filename": "employee-create-form.png", + "capturedAt": "2026-04-22T03:41:38.684Z", + "description": "Material dialog showing Create Employee reactive form — fields for name, email, department, position, hire date, gender — with inline validation.", + "narration": "Clicking Create opens a Material dialog with a reactive form. All fields use Angular Material form controls with built-in validation. Errors appear inline as you type, following the Material Design specification.", + "articles": [ + "3.2", + "3.3" + ], + "tags": [ + "employee-form", + "reactive-forms", + "mat-dialog", + "validation", + "angular-material" + ], + "useFor": "Illustrate the reactive form inside a Material dialog for the forms and dialogs articles." + }, + { + "path": "screenshots-output/series-3-angular-material/department-list-table.png", + "audioPath": "screenshots-output/series-3-angular-material/department-list-table.wav", + "series": "series-3-angular-material", + "filename": "department-list-table.png", + "capturedAt": "2026-04-22T03:41:59.872Z", + "description": "Department management page — Material data table with department names and edit/delete action buttons.", + "narration": "The department list follows the same Material table pattern as the employee list. Managers can create, edit, and delete departments. The table refreshes automatically after each operation.", + "articles": [ + "3.1" + ], + "tags": [ + "department-list", + "data-table", + "crud", + "angular-material" + ], + "useFor": "Illustrate the department management feature alongside the employee list." + }, + { + "path": "screenshots-output/series-3-angular-material/position-list-table.png", + "audioPath": "screenshots-output/series-3-angular-material/position-list-table.wav", + "series": "series-3-angular-material", + "filename": "position-list-table.png", + "capturedAt": "2026-04-22T03:42:19.272Z", + "description": "Position management page — HRAdmin-only table of job positions with title, department, and salary range columns.", + "narration": "Positions are visible only to the HRAdmin role. The ngx-permissions directive hides this page from Managers and Employees entirely — both in the sidebar and via route guard.", + "articles": [ + "1.4", + "3.1" + ], + "tags": [ + "position-list", + "hradmin", + "role-based-ui", + "data-table", + "ngx-permissions" + ], + "useFor": "Demonstrate HRAdmin-only feature access for role-based UI articles." + }, + { + "path": "screenshots-output/series-3-angular-material/salary-ranges-table.png", + "audioPath": "screenshots-output/series-3-angular-material/salary-ranges-table.wav", + "series": "series-3-angular-material", + "filename": "salary-ranges-table.png", + "capturedAt": "2026-04-22T03:42:38.471Z", + "description": "Salary Range management page restricted to HRAdmin — table with range label, minimum and maximum salary columns.", + "narration": "Salary ranges are an HRAdmin-only feature. They define the pay bands that Positions reference, creating a hierarchy from Salary Range down to Position down to Employee.", + "articles": [ + "1.4", + "3.1" + ], + "tags": [ + "salary-ranges", + "hradmin", + "role-based-ui", + "data-table" + ], + "useFor": "Show the HRAdmin-exclusive salary range management feature." + }, + { + "path": "screenshots-output/series-6-ai-app-features/ai-submenu-sidebar.png", + "audioPath": "screenshots-output/series-6-ai-app-features/ai-submenu-sidebar.wav", + "series": "series-6-ai-app-features", + "filename": "ai-submenu-sidebar.png", + "capturedAt": "2026-04-22T03:42:56.200Z", + "description": "Dashboard with the AI submenu expanded in the sidebar — shows four child items: AI Assistant, HR Insight, NL Search, Vector Search.", + "narration": "The AI section lives in its own collapsible group in the sidebar. Clicking the smart toy icon expands four child pages, each with its own dedicated route.", + "articles": [ + "6.3" + ], + "tags": [ + "ai-submenu", + "sidebar", + "menu-json", + "ng-matero", + "navigation" + ], + "useFor": "Hero image for Article 6.3 showing the submenu structure." + }, + { + "path": "screenshots-output/series-6-ai-app-features/ai-assistant-page-full.png", + "audioPath": "screenshots-output/series-6-ai-app-features/ai-assistant-page-full.wav", + "series": "series-6-ai-app-features", + "filename": "ai-assistant-page-full.png", + "capturedAt": "2026-04-22T03:43:17.592Z", + "description": "Full AI Assistant page at /ai/assistant — chat card with message input when aiEnabled is true, or an info banner when false.", + "narration": "The AI Assistant page is one of four pages in the AI submenu. When AI is enabled it shows a chat card with a message input and send button. When disabled, an info banner explains what to enable.", + "articles": [ + "6.3" + ], + "tags": [ + "ai-assistant", + "chat-ui", + "feature-flag", + "angular-material" + ], + "useFor": "Hero image for Article 6.3 showing the AI Assistant page." + }, + { + "path": "screenshots-output/series-6-ai-app-features/ai-assistant-empty-state.png", + "audioPath": "screenshots-output/series-6-ai-app-features/ai-assistant-empty-state.wav", + "series": "series-6-ai-app-features", + "filename": "ai-assistant-empty-state.png", + "capturedAt": "2026-04-22T03:43:39.229Z", + "description": "AI Assistant page — empty state before any messages, showing the \"Start a conversation\" prompt.", + "narration": "The initial state shows an empty chat card with a prompt to start a conversation. The message input sits at the bottom with a Send button.", + "articles": [ + "6.3" + ], + "tags": [ + "ai-assistant", + "empty-state", + "chat-ui" + ], + "useFor": "Show the initial state at the start of the Article 6.3 demo." + }, + { + "path": "screenshots-output/series-6-ai-app-features/ai-hr-insight-empty.png", + "audioPath": "screenshots-output/series-6-ai-app-features/ai-hr-insight-empty.wav", + "series": "series-6-ai-app-features", + "filename": "ai-hr-insight-empty.png", + "capturedAt": "2026-04-22T03:43:54.497Z", + "description": "HR Insight page at /ai/hr-insight — empty state showing four suggestion buttons and the question input.", + "narration": "The H R Insight page shows suggestion buttons for common workforce questions. Clicking one pre-fills the input field.", + "articles": [ + "6.3" + ], + "tags": [ + "ai-hr-insight", + "suggestion-buttons", + "empty-state" + ], + "useFor": "Show the HR Insight page layout in Article 6.3." + }, + { + "path": "screenshots-output/series-6-ai-app-features/ai-hr-insight-with-answer.png", + "audioPath": "screenshots-output/series-6-ai-app-features/ai-hr-insight-with-answer.wav", + "series": "series-6-ai-app-features", + "filename": "ai-hr-insight-with-answer.png", + "capturedAt": "2026-04-22T03:44:38.430Z", + "description": "HR Insight page showing a data-grounded Ollama answer — references live department headcounts. Execution time shown below reply.", + "narration": "The H R Insight answer references real numbers from the database. The execution time shown below the reply includes both the database query and Ollama inference time.", + "articles": [ + "6.2", + "6.3" + ], + "tags": [ + "ai-hr-insight", + "rag", + "grounded-answer", + "execution-time", + "ollama" + ], + "useFor": "Key proof-of-concept image for Articles 6.2 and 6.3." + }, + { + "path": "screenshots-output/series-6-ai-app-features/ai-nl-search-empty.png", + "audioPath": "screenshots-output/series-6-ai-app-features/ai-nl-search-empty.wav", + "series": "series-6-ai-app-features", + "filename": "ai-nl-search-empty.png", + "capturedAt": "2026-04-22T03:44:53.537Z", + "description": "Natural Language Search page at /ai/nl-search — empty state with search input and prompt to type a query.", + "narration": "The NL Search page shows a single text input. Type a plain-English description of the employees you are looking for.", + "articles": [ + "6.4" + ], + "tags": [ + "ai-nl-search", + "empty-state", + "natural-language" + ], + "useFor": "Show the initial NL Search state in Article 6.4." + }, + { + "path": "screenshots-output/series-6-ai-app-features/ai-vector-search-empty.png", + "audioPath": "screenshots-output/series-6-ai-app-features/ai-vector-search-empty.wav", + "series": "series-6-ai-app-features", + "filename": "ai-vector-search-empty.png", + "capturedAt": "2026-04-22T03:45:08.808Z", + "description": "Vector Search page at /ai/vector-search — empty state with search input and prompt to describe a position.", + "narration": "The Vector Search page uses semantic similarity to find positions. Describe what you are looking for in plain English.", + "articles": [ + "6.5" + ], + "tags": [ + "ai-vector-search", + "empty-state", + "semantic-search" + ], + "useFor": "Show the initial Vector Search state in Article 6.5." + } + ] +} \ No newline at end of file diff --git a/docs/screenshots/series-6-ai-app-features/ai-assistant-empty-state.png b/docs/screenshots/series-6-ai-app-features/ai-assistant-empty-state.png new file mode 100644 index 0000000..7cd6021 Binary files /dev/null and b/docs/screenshots/series-6-ai-app-features/ai-assistant-empty-state.png differ diff --git a/docs/screenshots/series-6-ai-app-features/ai-assistant-page-full.png b/docs/screenshots/series-6-ai-app-features/ai-assistant-page-full.png new file mode 100644 index 0000000..7cd6021 Binary files /dev/null and b/docs/screenshots/series-6-ai-app-features/ai-assistant-page-full.png differ diff --git a/docs/screenshots/series-6-ai-app-features/ai-hr-insight-empty.png 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