- Skip client initialization when OPENAI_API_KEY not configured
- Set openai property to null instead of creating with dummy key
- Methods return gracefully when embeddings not available
- Updated tests to verify client is not instantiated without key
Refs #338
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Implemented three new API endpoints for knowledge graph visualization:
1. GET /api/knowledge/graph - Full knowledge graph
- Returns all entries and links with optional filtering
- Supports filtering by tags, status, and node count limit
- Includes orphan detection (entries with no links)
2. GET /api/knowledge/graph/stats - Graph statistics
- Total entries and links counts
- Orphan entries detection
- Average links per entry
- Top 10 most connected entries
- Tag distribution across entries
3. GET /api/knowledge/graph/:slug - Entry-centered subgraph
- Returns graph centered on specific entry
- Supports depth parameter (1-5) for traversal distance
- Includes all connected nodes up to specified depth
New Files:
- apps/api/src/knowledge/graph.controller.ts
- apps/api/src/knowledge/graph.controller.spec.ts
Modified Files:
- apps/api/src/knowledge/dto/graph-query.dto.ts (added GraphFilterDto)
- apps/api/src/knowledge/entities/graph.entity.ts (extended with new types)
- apps/api/src/knowledge/services/graph.service.ts (added new methods)
- apps/api/src/knowledge/services/graph.service.spec.ts (added tests)
- apps/api/src/knowledge/knowledge.module.ts (registered controller)
- apps/api/src/knowledge/dto/index.ts (exported new DTOs)
- docs/scratchpads/71-graph-data-api.md (implementation notes)
Test Coverage: 21 tests (all passing)
- 14 service tests including orphan detection, filtering, statistics
- 7 controller tests for all three endpoints
Follows TDD principles with tests written before implementation.
All code quality gates passed (lint, typecheck, tests).
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Updated semantic search to use OllamaEmbeddingService instead of OpenAI:
- Replaced EmbeddingService with OllamaEmbeddingService in SearchService
- Added configurable similarity threshold (SEMANTIC_SEARCH_SIMILARITY_THRESHOLD)
- Updated both semanticSearch() and hybridSearch() methods
- Added comprehensive tests for semantic search functionality
- Updated controller documentation to reflect Ollama requirement
- All tests passing with 85%+ coverage
Related changes:
- Updated knowledge.service.versions.spec.ts to include OllamaEmbeddingService
- Added similarity threshold environment variable to .env.example
Fixes#70
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Add support for filtering search results by tags in the main search endpoint.
Changes:
- Add tags parameter to SearchQueryDto (comma-separated tag slugs)
- Implement tag filtering in SearchService.search() method
- Update SQL query to join with knowledge_entry_tags when tags provided
- Entries must have ALL specified tags (AND logic)
- Add tests for tag filtering (2 controller tests, 2 service tests)
- Update endpoint documentation
- Fix non-null assertion linting error
The search endpoint now supports:
- Full-text search with ranking (ts_rank)
- Snippet generation with highlighting (ts_headline)
- Status filtering
- Tag filtering (new)
- Pagination
Example: GET /api/knowledge/search?q=api&tags=documentation,tutorial
All tests pass (25 total), type checking passes, linting passes.
Fixes#66
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Fixes CI pipeline failures caused by missing Prisma Client generation and TypeScript type safety issues. Added Prisma generation step to CI pipeline, installed missing type dependencies, and resolved 40+ exactOptionalPropertyTypes violations across service layer.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Issues resolved:
- #68: pgvector Setup
* Added pgvector vector index migration for knowledge_embeddings
* Vector index uses HNSW algorithm with cosine distance
* Optimized for 1536-dimension OpenAI embeddings
- #69: Embedding Generation Pipeline
* Created EmbeddingService with OpenAI integration
* Automatic embedding generation on entry create/update
* Batch processing endpoint for existing entries
* Async generation to avoid blocking API responses
* Content preparation with title weighting
- #70: Semantic Search API
* POST /api/knowledge/search/semantic - pure vector search
* POST /api/knowledge/search/hybrid - RRF combined search
* POST /api/knowledge/embeddings/batch - batch generation
* Comprehensive test coverage
* Full documentation in docs/SEMANTIC_SEARCH.md
Technical details:
- Uses OpenAI text-embedding-3-small model (1536 dims)
- HNSW index for O(log n) similarity search
- Reciprocal Rank Fusion for hybrid search
- Graceful degradation when OpenAI not configured
- Async embedding generation for performance
Configuration:
- Added OPENAI_API_KEY to .env.example
- Optional feature - disabled if API key not set
- Falls back to keyword search in hybrid mode
- Add POST /api/knowledge/import endpoint for .md and .zip files
- Add GET /api/knowledge/export endpoint with markdown/json formats
- Import parses frontmatter (title, tags, status, visibility)
- Export includes frontmatter in markdown format
- Add ImportExportActions component with drag-and-drop UI
- Add import progress dialog with success/error summary
- Add export dropdown with format selection
- Include comprehensive test suite
- Support bulk import with detailed error reporting
Issue #73 - Entry-Centered Graph View:
- Added GET /api/knowledge/entries/:id/graph endpoint with depth parameter
- Returns entry + connected nodes with link relationships
- Created GraphService for graph traversal using BFS
- Added EntryGraphViewer component for frontend
- Integrated graph view tab into entry detail page
Issue #74 - Graph Statistics Dashboard:
- Added GET /api/knowledge/stats endpoint
- Returns overview stats (entries, tags, links by status)
- Includes most connected entries, recent activity, tag distribution
- Created StatsDashboard component with visual stats
- Added route at /knowledge/stats
Backend:
- GraphService: BFS-based graph traversal with configurable depth
- StatsService: Parallel queries for comprehensive statistics
- GraphQueryDto: Validation for depth parameter (1-5)
- Entity types for graph nodes/edges and statistics
- Unit tests for both services
Frontend:
- EntryGraphViewer: Entry-centered graph visualization
- StatsDashboard: Statistics overview with charts
- Graph view tab on entry detail page
- API client functions for new endpoints
- TypeScript strict typing throughout
- Add resolveLinksFromContent() to parse wiki links from content and resolve them
- Add getBacklinks() to find all entries that link to a target entry
- Import parseWikiLinks from utils for content parsing
- Export new types: ResolvedLink, Backlink
- Add comprehensive tests for new functionality (27 tests total)
Implements Personality Module:
- Personality model and Prisma migration
- CRUD API with controller and service
- Comprehensive test suite
- Integration with workspace
- Add Personality model to Prisma schema with FormalityLevel enum
- Create migration and seed with 6 default personalities
- Implement CRUD API with TDD approach (97.67% coverage)
* PersonalitiesService: findAll, findOne, findDefault, create, update, remove
* PersonalitiesController: REST endpoints with auth guards
* Comprehensive test coverage (21 passing tests)
- Add Personality types to shared package
- Create frontend components:
* PersonalitySelector: dropdown for choosing personality
* PersonalityPreview: preview personality style and system prompt
* PersonalityForm: create/edit personalities with validation
* Settings page: manage personalities with CRUD operations
- Integrate with Ollama API:
* Support personalityId in chat endpoint
* Auto-inject system prompt from personality
* Fall back to default personality if not specified
- API client for frontend personality management
All tests passing with 97.67% backend coverage (exceeds 85% requirement)
- Create LinkResolutionService with workspace-scoped link resolution
- Resolve links by: exact title match, slug match, fuzzy title match
- Handle ambiguous matches (return null if multiple matches)
- Support batch link resolution with deduplication
- Comprehensive test suite with 19 tests, all passing
- 100% coverage of public methods
- Integrate service with KnowledgeModule
Closes#60 (KNOW-008)
