Commit graph

4 commits

Author SHA1 Message Date
Leivur Djurhuus
dfa067e95f Database cleanup pre rollout 2026-04-06 14:35:56 -05:00
Leivur R. Djurhuus
40028b7ced feat: add pipeline stage resolver and organization access control
- Implemented `stage-resolver.ts` to unify old and new pipeline stage definitions.
- Created `org-scope.ts` for organization access verification and scoping queries.
- Added role-based permissions management in `permissions.ts` and `rbac-service.ts`.
- Introduced invitation management in `invitation-service.ts` with validation schemas.
- Developed custom field and notification rule services with respective validators.
- Established pipeline template CRUD operations in `pipeline-template-service.ts`.
- Added Zustand store for managing pipeline builder state in `pipeline-builder-store.ts`.
2026-03-14 22:43:43 -05:00
Leivur Djurhuus
1bbc9fd195 feat(calendar): implement calendar view with event filtering and detail display
- Added CalendarDayDetail component for displaying detailed event information for a selected day.
- Created CalendarEventPill component to represent individual events in a compact format.
- Introduced CalendarFilters component to filter events by project, stage type, and status.
- Developed CalendarGrid component to render the calendar layout and manage event interactions.
- Implemented CalendarView component to manage the overall calendar state and navigation.
- Added useCalendar hook to fetch calendar events based on specified filters.
- Created calendar-service to handle fetching events from the database with filtering capabilities.
- Updated data model to include necessary fields for calendar events and filters.
- Added system prompt and tools for AI assistant to manage calendar-related tasks.
2026-03-12 21:20:11 -05:00
Leivur Djurhuus
9d5acf1683 feat: add Smart Search Panel with semantic search capabilities
- Implemented Smart Search Panel component for enhanced project and deliverable search functionality.
- Introduced useSemanticSearch and useOllamaHealth hooks for managing search queries and AI availability.
- Developed embedding-service to generate and store vector embeddings for projects and deliverables.
- Created semantic-search-service to handle vector search, structural query detection, and LLM summarization.
- Added support for hybrid search combining structural filters and semantic queries.
- Integrated UI components for displaying search results and user interactions.
2026-03-06 16:13:36 -06:00