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Danilo Reyes b59a3d23aa Add detailed implementation plan and technology research for Reference Board Viewer application. Outline objectives, scope, technical approach, and deployment strategy. Include comprehensive technology stack analysis and justification for selected frameworks and tools.

2025-11-01 21:58:23 -06:00

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Plan: Reference Board Viewer

Created: 2025-11-02
Status: Active
Owner: Development Team

Overview

This plan outlines the implementation strategy for building a web-based reference board application (PureRef-inspired) for artists and creative professionals. The application will enable users to collect, organize, and manipulate visual reference images collaboratively through any modern web browser, with full Nix deployment support.

Why This Matters:

Fills gap in market for collaborative, accessible reference board tools
Enables remote creative collaboration
Provides artists with professional-grade tools without desktop software
Demonstrates modern web capabilities with Nix deployment

Objectives

Build a performant web application supporting 500+ images at 60fps
Implement 18 functional requirements from specification
Achieve ≥80% test coverage across frontend and backend
Deploy reproducibly using Nix to self-hosted infrastructure
Complete development in 12-16 weeks
Validate with beta users and achieve 90%+ "easy to use" rating

Constitution Alignment Check

Before proceeding, verify alignment with constitutional principles:

Code Quality & Maintainability: How will this maintain/improve code quality?
- Design follows single responsibility principle (modular architecture: frontend, backend, storage, database)
- Clear module boundaries defined (see architecture diagram below)
- Dependencies justified and documented (see tech-research.md)
- Type hints enforced (Python: Pydantic models, Optional: TypeScript for frontend)
- Linting configured (Ruff for Python, ESLint for JavaScript)
Testing Discipline: What testing strategy will ensure correctness?
- Unit test coverage plan (≥80%): pytest for backend, Vitest for frontend
- Integration test scenarios identified (API endpoints, canvas operations, file uploads)
- Edge cases documented (large files, concurrent uploads, 500+ images, network failures)
- E2E tests for critical flows (user registration → board creation → image upload → export)
User Experience Consistency: How does this impact users?
- UI/API changes follow existing patterns (RESTful API, intuitive canvas interactions)
- Error handling is user-friendly (clear messages, actionable feedback, no raw exceptions)
- Documentation plan complete (API docs via OpenAPI, user guide, inline help)
- Accessibility validated (WCAG 2.1 AA compliance testing with axe-core)
Performance & Efficiency: What are the performance implications?
- Performance budget established (60fps canvas, <200ms API, <3s page load)
- Algorithmic complexity analyzed (O(n) for rendering, O(log n) for spatial queries)
- Resource usage estimated (2GB RAM server, 100GB storage, 10Mbps bandwidth)

Scope

In Scope

Core Features (MVP):

✅ User authentication and account management (email/password)
✅ Board CRUD operations (create, read, update, delete, list)
✅ Image upload (file picker, drag-drop, paste, batch, ZIP)
✅ Canvas operations (infinite canvas, pan, zoom, rotate viewport)
✅ Image manipulation (drag, scale, rotate, crop, flip, opacity, greyscale)
✅ Multi-selection and bulk operations
✅ Image grouping with annotations and colored labels
✅ Z-order management (bring to front, send to back)
✅ Alignment and distribution tools (snap-to-grid)
✅ Copy/cut/paste/delete operations
✅ Focus mode and slideshow
✅ Export (single image, ZIP, composite image)
✅ Board sharing with configurable permissions (View-only, View+Comment)
✅ Adaptive image quality based on connection speed
✅ Image library with cross-board reuse
✅ Command palette (Ctrl+K/Cmd+K)
✅ Non-destructive editing (original always preserved)
✅ Auto-arrange by criteria (name, date, optimal, random)

Deployment:

✅ Full Nix deployment configuration (flake.nix + NixOS modules)
✅ Single-server deployment architecture
✅ PostgreSQL database setup
✅ MinIO or filesystem image storage
✅ Nginx reverse proxy configuration

Testing & Quality:

✅ ≥80% test coverage
✅ CI/CD pipeline with Nix
✅ Performance benchmarking
✅ Accessibility testing (WCAG 2.1 AA)

Out of Scope

Deferred to v2.0:

Real-time collaborative editing (multiple users editing same board simultaneously)
Mobile app (native iOS/Android)
Video/3D model support (only images in v1.0)
Advanced image editing (filters, color correction beyond greyscale)
Public board gallery/marketplace
Team workspaces and role-based access control (only individual users + sharing)
Custom branding/white-labeling
Monetization features (payments, subscriptions)
Multi-language support (English-only in v1.0)
Offline mode (PWA with service workers)
Third-party integrations (Google Drive, Dropbox, Pinterest)

Technical Approach

Architecture Overview

┌─────────────────────────────────────────────────────────────┐
│                    CLIENT (Browser)                          │
│                                                              │
│  ┌────────────────────────────────────────────────────┐    │
│  │   Svelte Frontend (SvelteKit)                      │    │
│  │   ├─ UI Components (forms, modals, menus)         │    │
│  │   ├─ Konva.js Canvas (image manipulation)         │    │
│  │   ├─ Svelte Stores (state management)             │    │
│  │   └─ API Client (fetch wrapper)                   │    │
│  └────────────────────────────────────────────────────┘    │
└──────────────────────┬───────────────────────────────────────┘
                       │ HTTPS
                       │
┌──────────────────────▼───────────────────────────────────────┐
│              Nginx (Reverse Proxy / Static Files)            │
│  ├─ / → Frontend SPA (Svelte build)                         │
│  ├─ /api/* → FastAPI backend                                │
│  └─ /storage/* → MinIO or filesystem images                 │
└──────────────────────┬───────────────────────────────────────┘
                       │
        ┌──────────────┼──────────────┐
        │              │              │
┌───────▼────────┐ ┌──▼──────────┐ ┌─▼──────────┐
│  FastAPI       │ │ PostgreSQL  │ │   MinIO    │
│  (Backend API) │ │ (Database)  │ │  (Images)  │
│                │ │             │ │            │
│ ┏━━━━━━━━━━━━┓ │ │ ┏━━━━━━━━┓ │ │ ┏━━━━━━━━┓ │
│ ┃ Auth       ┃ │ │ ┃ users  ┃ │ │ ┃ bucket/┃ │
│ ┃ Boards     ┃ │ │ ┃ boards ┃ │ │ ┃ images/┃ │
│ ┃ Images     ┃ │ │ ┃ images ┃ │ │ ┃ thumbs/┃ │
│ ┃ Upload     ┃ │ │ ┃ groups ┃ │ │ ┗━━━━━━━━┛ │
│ ┃ Processing ┃ │ │ ┃ shares ┃ │ │            │
│ ┗━━━━━━━━━━━━┛ │ │ ┗━━━━━━━━┛ │ │            │
└────────────────┘ └─────────────┘ └────────────┘

Technology Stack (Finalized)

Based on comprehensive research (see tech-research.md), the stack is:

Layer	Technology	Rationale
Frontend Framework	Svelte + SvelteKit	Smallest bundle, no VDOM, truly reactive, excellent performance
Canvas Library	Konva.js	Optimized for interactive canvas, layering, event handling
Backend Framework	FastAPI (Python)	Async, fast, great DX, leverages existing Python setup
Database	PostgreSQL	JSONB support, full-text search, robust, Nix-friendly
Image Storage	MinIO (S3-compatible)	Self-hosted, future-proof, can migrate to cloud
Image Processing	Pillow + ImageMagick	Standard, reliable, excellent Nix support
Auth	JWT (python-jose + passlib)	Stateless, industry standard, secure
Build Tool	Vite	Fast HMR, optimized builds, Svelte plugin
Package Manager	uv (Python) + npm (JS)	Already in shell.nix, ultra-fast
Deployment	Nix Flakes + NixOS	Reproducible, declarative, rollback support

Key Components

1. Frontend Application (Svelte + Konva.js)

Purpose: User interface and canvas manipulation

Responsibilities:

Render UI components (forms, modals, menus, command palette)
Manage canvas state (images, viewport, selection, groups)
Handle user interactions (drag, resize, rotate, click, keyboard)
Communicate with backend API
Implement client-side validation
Cache data for performance

Key Modules:

src/lib/canvas/ - Konva.js canvas wrapper, event handlers
src/lib/stores/ - Svelte stores (auth, boards, images, viewport)
src/lib/api/ - API client (fetch wrapper with auth)
src/lib/components/ - Reusable UI components
src/routes/ - SvelteKit routes (pages)

Testing:

Unit tests: Vitest for stores, utility functions
Component tests: Testing Library for UI components
Integration tests: Canvas operations, API interactions
E2E tests: Playwright for full user flows

2. Backend API (FastAPI)

Purpose: Business logic, data persistence, image processing

Responsibilities:

User authentication (registration, login, password reset)
Board CRUD operations
Image upload, processing (thumbnails), metadata storage
Serve image files (proxy to MinIO or filesystem)
Permission validation for board sharing
API documentation (auto-generated OpenAPI)

Key Modules:

app/auth/ - Authentication, JWT, password hashing
app/boards/ - Board operations, sharing logic
app/images/ - Upload handling, processing, storage
app/database/ - SQLAlchemy models, migrations
app/api/ - API route handlers
app/core/ - Configuration, dependencies, middleware

Testing:

Unit tests: pytest for business logic
Integration tests: TestClient for API endpoints
Database tests: pytest-postgresql for database operations
Performance tests: locust for load testing

3. Database (PostgreSQL)

Purpose: Persistent data storage

Responsibilities:

Store user accounts (encrypted passwords)
Store board metadata (title, owner, created/updated timestamps)
Store image metadata (filename, dimensions, transformations, position)
Store groups (annotations, color labels, member images)
Store share links (tokens, permissions, access logs)
Full-text search for image library

Schema Outline:

users (id, email, password_hash, created_at)
boards (id, user_id, title, description, viewport_state JSONB, created_at, updated_at)
images (id, user_id, filename, storage_path, metadata JSONB, created_at)
board_images (board_id, image_id, position JSONB, transformations JSONB, z_order, group_id)
groups (id, board_id, name, color, annotation, created_at)
share_links (id, board_id, token, permission_level, created_at, last_accessed, revoked)

Migrations: Alembic (SQLAlchemy migration tool)

4. Image Storage (MinIO)

Purpose: Store and serve image files

Responsibilities:

Store original images (full resolution)
Store generated thumbnails (low, medium, high)
Serve images via HTTP
Handle erasure coding for durability
Provide S3-compatible API for future cloud migration

Bucket Structure:

webref/
├── originals/
│   └── {user_id}/{image_id}.{ext}
└── thumbnails/
    ├── low/{image_id}.webp       (800px max)
    ├── medium/{image_id}.webp    (1600px max)
    └── high/{image_id}.webp      (3200px max)

5. Image Processing Pipeline (Pillow + ImageMagick)

Purpose: Generate thumbnails and process uploads

Responsibilities:

Validate uploaded files (format, size, content)
Extract metadata (dimensions, format, EXIF)
Generate multiple resolution thumbnails
Optimize images for web (WebP format, quality tuning)
Run as background tasks (don't block API responses)

Process Flow:

User uploads image → FastAPI receives file
FastAPI validates file → saves original to MinIO
Background task generates thumbnails (3 resolutions)
Thumbnails saved to MinIO
Database updated with metadata and paths

Dependencies

External Dependencies (via Nix)

Python (Backend):

python3Packages = [
  fastapi           # Web framework
  uvicorn          # ASGI server
  sqlalchemy       # ORM
  alembic          # Database migrations
  pydantic         # Data validation
  python-jose      # JWT tokens
  passlib          # Password hashing
  pillow           # Image processing
  boto3            # S3/MinIO client
  python-multipart # File upload handling
  httpx            # Async HTTP client (for testing)
]

JavaScript (Frontend):

{
  "svelte": "^4.2.0",
  "@sveltejs/kit": "^2.0.0",
  "konva": "^9.3.0",
  "vite": "^5.0.0"
}

System Services:

PostgreSQL 16
MinIO (latest)
Nginx 1.24+
ImageMagick 7

Internal Dependencies

Frontend depends on Backend API (REST endpoints)
Backend depends on Database (SQLAlchemy sessions)
Backend depends on Image Storage (MinIO client)
Image Processing depends on Background Task Queue (FastAPI BackgroundTasks)

Risks & Mitigations

Risk	Impact	Probability	Mitigation Strategy
Canvas performance degrades with 500+ images	High	Medium	Implement virtual rendering (only render visible images), use Konva layers efficiently, add pagination option
Large file uploads (50MB) timeout	High	Medium	Implement streaming uploads, chunked transfer encoding, increase Nginx timeout config, show progress bar
Nix deployment complexity	Medium	Medium	Create comprehensive documentation, provide example configs, test on multiple NixOS versions
Browser compatibility issues (Safari, older browsers)	Medium	Low	Define minimum browser versions, polyfills for older APIs, comprehensive cross-browser testing
Image processing bottleneck (many concurrent uploads)	High	Medium	Use Celery for distributed task queue (Phase 2), implement rate limiting, optimize Pillow settings
Database query performance (complex board queries)	Medium	Low	Add database indexes (GIN for JSONB), query optimization, consider Redis caching for hot data
Storage costs (100GB+ per user)	Low	Low	Implement storage quotas, image deduplication (same image on multiple boards), compression
Security vulnerabilities (file upload attacks)	High	Low	Strict file validation (magic bytes, not just extension), size limits, malware scanning (future), CSP headers

Implementation Phases

Phase 1: Foundation & Core Infrastructure (Weeks 1-4)

Goal: Set up development environment, core architecture, and basic CRUD operations

Week 1: Project Setup & Nix Configuration

Initialize Git repository with proper .gitignore
Create Nix flake.nix with development environment
Set up frontend project (SvelteKit + Vite)
Set up backend project (FastAPI with uv)
Configure PostgreSQL with Nix
Set up pre-commit hooks (Ruff, ESLint, Prettier)
Initialize CI/CD pipeline (GitHub Actions or similar)
Create initial database schema (users, boards tables)

Deliverables:

Working development environment (nix develop)
Frontend dev server running (npm run dev)
Backend dev server running (uvicorn app.main:app --reload)
PostgreSQL accessible locally
CI pipeline runs linters

Week 2: Authentication System

Design user schema and JWT strategy
Implement user registration endpoint
Implement login endpoint (JWT token generation)
Implement password hashing (bcrypt via passlib)
Add JWT validation middleware
Create frontend login/register forms
Implement frontend auth state management (Svelte stores)
Add protected routes (redirect if not authenticated)
Write unit tests for auth logic (pytest)
Write integration tests for auth endpoints

Deliverables:

Users can register and log in
JWT tokens issued and validated
Protected API endpoints require authentication
Frontend auth flow complete
≥80% test coverage for auth module

Week 3: Board Management (CRUD)

Implement board creation endpoint
Implement board list endpoint (user's boards)
Implement board detail endpoint (single board)
Implement board update endpoint (title, description)
Implement board delete endpoint
Create frontend board list view
Create frontend board creation form
Create frontend board settings modal
Add database migrations (Alembic)
Write tests for board operations

Deliverables:

Users can create, list, view, update, delete boards
Frontend displays board list with thumbnails
Database properly stores board data
≥80% test coverage for board module

Week 4: Image Upload & Storage Setup

Set up MinIO with Nix (or filesystem storage)
Implement multipart file upload endpoint
Add file validation (type, size, magic bytes)
Implement streaming upload to MinIO/filesystem
Create image metadata storage (database)
Implement thumbnail generation (Pillow)
Set up background task processing (FastAPI BackgroundTasks)
Create frontend upload UI (file picker + drag-drop)
Add upload progress indicator
Write tests for upload and storage

Deliverables:

Users can upload images to boards
Images stored in MinIO/filesystem
Thumbnails generated automatically
Upload progress visible to user
≥80% test coverage for upload module

Phase 2: Canvas & Image Manipulation (Weeks 5-8)

Goal: Implement core canvas functionality and image manipulation features

Week 5: Canvas Foundation

Integrate Konva.js into Svelte components
Implement infinite canvas with pan/zoom
Load images from backend onto canvas
Implement image dragging (position update)
Implement image selection (single click)
Add visual selection indicators (border/highlight)
Store image positions in database
Implement canvas state persistence (viewport)
Add keyboard shortcuts (arrow keys for pan)
Write tests for canvas state management

Deliverables:

Canvas renders uploaded images
Users can pan and zoom canvas
Users can drag images to new positions
Positions persist when reopening board
Canvas maintains 60fps performance

Week 6: Image Transformations

Implement image rotation (Konva transform)
Implement image scaling (resize handles)
Add flip horizontal/vertical
Add opacity adjustment (slider)
Add greyscale toggle
Implement crop tool (rectangular selection)
Store transformations in database (JSONB)
Add reset to original button
Ensure non-destructive editing (original preserved)
Write tests for transformations

Deliverables:

Users can rotate, scale, flip, crop images
Users can adjust opacity and apply greyscale
All transformations are non-destructive
Transformations persist when reopening board

Week 7: Multi-Selection & Bulk Operations

Implement selection rectangle (drag to select multiple)
Add Ctrl+Click for adding to selection
Add select all (Ctrl+A)
Implement bulk move (move all selected together)
Implement bulk rotate/scale
Add copy/cut/paste for images
Implement delete with confirmation (>10 images)
Add selection count indicator
Implement undo/redo stack (nice-to-have)
Write tests for multi-selection

Deliverables:

Users can select multiple images
Bulk operations work on all selected images
Copy/paste works correctly
Delete requires confirmation for large selections

Week 8: Z-Order & Layering

Implement bring to front command
Implement send to back command
Add bring forward/send backward (one layer)
Create Z-order visualization (optional)
Store Z-order in database
Add keyboard shortcuts (PgUp/PgDn)
Ensure Z-order persists
Write tests for Z-order operations

Deliverables:

Users can control image layering
Z-order changes immediately visible
Z-order persists correctly

Phase 3: Advanced Features (Weeks 9-12)

Goal: Implement grouping, alignment, sharing, and export features

Week 9: Grouping & Annotations

Implement create group from selection
Add group annotation text input
Add color label picker for groups
Implement move group as unit
Add ungroup command
Store groups in database (separate table)
Visual indicators for grouped images
Prevent images from belonging to multiple groups
Write tests for grouping logic

Deliverables:

Users can create groups from selected images
Groups can have annotations and color labels
Groups move together as a unit
Groups persist correctly

Week 10: Alignment & Distribution

Implement align top/bottom/left/right/center commands
Implement distribute horizontal/vertical
Add snap-to-grid functionality
Make grid configurable (size setting)
Add keyboard shortcut for snap toggle
Visual grid overlay when snap enabled
Write tests for alignment calculations

Deliverables:

Users can align and distribute selected images
Snap-to-grid helps with precise placement
Alignment works correctly for 100+ images

Implement share link generation
Add permission level selector (View-only / View+Comment)
Implement share link validation endpoint
Create shared board view (read-only mode)
Implement comment system for View+Comment links
Add share link management UI (list, revoke)
Store share links in database (tokens table)
Add security: rate limiting on share link access
Write tests for sharing and permissions

Deliverables:

Users can generate share links with permissions
Recipients can view shared boards
View+Comment allows adding comments
Share links can be revoked

Week 12: Export & Download

Implement single image download
Implement ZIP export (all images)
Implement composite image export (render canvas to PNG/JPEG)
Add resolution selector for composite (1x, 2x, 4x)
Add export progress indicator
Handle large exports (streaming or background task)
Write tests for export operations

Deliverables:

Users can download individual images
Users can export all images as ZIP
Users can export board as single composite image
Export operations show progress

Phase 4: Polish & Optimization (Weeks 13-16)

Goal: Performance optimization, quality features, deployment preparation

Week 13: Performance & Adaptive Quality

Implement connection speed detection (Network Information API)
Serve different resolution thumbnails based on connection
Add manual quality override (Auto/Low/Medium/High)
Optimize canvas rendering (virtual rendering for large boards)
Add lazy loading for image list
Implement Redis caching for hot data (optional)
Run performance benchmarks (Lighthouse, load testing)
Optimize database queries (add missing indexes)

Deliverables:

Boards load in <10s on 3G connections
Canvas maintains 60fps with 500+ images
API responses <200ms p95
Lighthouse score >90

Week 14: Command Palette & Additional Features

Implement command palette (Ctrl+K/Cmd+K)
Add searchable command list
Implement focus mode (double-click image)
Add slideshow mode with configurable interval
Implement navigation order selector (Chronological/Spatial/Alphabetical/Random)
Add auto-arrange commands (by name/date/optimal/random)
Implement image library view (cross-board reuse)
Write tests for command palette and features

Deliverables:

Command palette provides quick access to all commands
Focus mode and slideshow work correctly
Auto-arrange layouts images intelligently
Image library allows reusing images across boards

Week 15: Testing & Accessibility

Achieve ≥80% test coverage (frontend + backend)
Add E2E tests with Playwright (critical user flows)
Run accessibility audit (axe-core, manual testing)
Fix all WCAG 2.1 AA violations
Add keyboard navigation for all features
Test on all supported browsers (Chrome, Firefox, Safari, Edge)
Add loading states for all async operations
Implement error boundaries and fallbacks

Deliverables:

≥80% test coverage verified
E2E tests cover critical paths
WCAG 2.1 AA compliance verified
All features work on supported browsers

Week 16: Deployment & Documentation

Finalize Nix flake.nix with all services
Create NixOS module for deployment
Write deployment documentation (README, docs/)
Create API documentation (OpenAPI/Swagger)
Write user guide (how to use the application)
Set up production environment configuration
Implement monitoring and logging
Perform staging deployment and validation
Plan production deployment strategy

Deliverables:

Full Nix deployment configuration ready
Documentation complete (deployment, API, user guide)
Staging environment validated
Ready for production deployment

Success Criteria

Clear, measurable criteria for completion:

Functional Completeness

All 18 functional requirements from spec.md implemented and tested
All user scenarios from spec.md work end-to-end
No critical bugs in issue tracker
Beta users can complete all major workflows

Quality Standards

≥80% test coverage (measured by pytest-cov and Vitest)
Zero linter errors/warnings (Ruff for Python, ESLint for JS)
All tests passing in CI/CD pipeline
Code review approved for all major components

Performance Benchmarks

Canvas maintains 60fps with 500 images (measured with Chrome DevTools)
API responses <200ms p95 (measured with load testing)
Page load <3 seconds on 5 Mbps connection (Lighthouse)
Board with 100 images loads in <2 seconds (low-res thumbnails)
Upload of 10 images (20MB) completes in <10 seconds on 10 Mbps connection

Accessibility & UX

WCAG 2.1 AA compliance verified (automated testing with axe-core)
Keyboard navigation works for all features
All error messages are user-friendly (no technical jargon)
90%+ users rate application "easy to use" in beta feedback

Deployment

Application deploys successfully with nixos-rebuild
All services start correctly (Nginx, FastAPI, PostgreSQL, MinIO)
Rollback works (nixos-rebuild --rollback)
Deployment documentation is clear and complete

Documentation

README.md explains project setup and development
API documentation available at /api/docs (OpenAPI)
User guide covers all major features
Deployment guide covers Nix configuration

Open Questions

~~Which canvas library to use?~~ → Resolved: Konva.js (see tech-research.md)
~~Python or Node.js backend?~~ → Resolved: FastAPI (Python) (leverages existing setup)
~~PostgreSQL or SQLite?~~ → Resolved: PostgreSQL (better for multi-user, JSON support)
~~MinIO or filesystem storage?~~ → Resolved: MinIO (S3-compatible, future-proof)
Should we implement undo/redo in Phase 2 or defer to v2.0?
Do we need Celery for background tasks, or is FastAPI BackgroundTasks sufficient for MVP?
Should we use Redis for session caching, or is PostgreSQL sufficient initially?
What's the optimal thumbnail resolution strategy? (Current: 800px/1600px/3200px)

References

Specification: spec.md - Full requirements document
Technology Research: tech-research.md - Comprehensive tech stack analysis
Requirements Checklist: checklists/requirements.md - Quality validation
Project Constitution: ../../.specify/memory/constitution.md

External Resources:

Konva.js Documentation: https://konvajs.org/docs/
FastAPI Documentation: https://fastapi.tiangolo.com/
Svelte Documentation: https://svelte.dev/docs
Nix Manual: https://nixos.org/manual/nix/stable/
NixOS Options: https://search.nixos.org/options
PureRef (inspiration): https://www.pureref.com/

Next Steps:

Review and approve this plan
Set up project repositories and development environment (Week 1)
Begin Phase 1 implementation
Weekly progress reviews and adjustments
Beta release after Week 16

Estimated Timeline: 16 weeks (4 months) to MVP
Estimated Team Size: 2-3 developers (1 frontend-focused, 1 backend-focused, 1 full-stack/DevOps)
Deployment Target: Self-hosted NixOS server

30 KiB Raw Blame History

Plan: Reference Board Viewer

Overview

Objectives

Constitution Alignment Check

Scope

In Scope

Out of Scope

Technical Approach

Architecture Overview

Technology Stack (Finalized)

Key Components

1. Frontend Application (Svelte + Konva.js)

2. Backend API (FastAPI)

3. Database (PostgreSQL)

4. Image Storage (MinIO)

5. Image Processing Pipeline (Pillow + ImageMagick)

Dependencies

External Dependencies (via Nix)

Internal Dependencies

Risks & Mitigations

Implementation Phases

Phase 1: Foundation & Core Infrastructure (Weeks 1-4)

Week 1: Project Setup & Nix Configuration

Week 2: Authentication System

Week 3: Board Management (CRUD)

Week 4: Image Upload & Storage Setup

Phase 2: Canvas & Image Manipulation (Weeks 5-8)

Week 5: Canvas Foundation

Week 6: Image Transformations

Week 7: Multi-Selection & Bulk Operations

Week 8: Z-Order & Layering

Phase 3: Advanced Features (Weeks 9-12)

Week 9: Grouping & Annotations

Week 10: Alignment & Distribution

Week 11: Board Sharing & Collaboration

Week 12: Export & Download

Phase 4: Polish & Optimization (Weeks 13-16)

Week 13: Performance & Adaptive Quality

Week 14: Command Palette & Additional Features

Week 15: Testing & Accessibility

Week 16: Deployment & Documentation

Success Criteria

Functional Completeness

Quality Standards

Performance Benchmarks

Accessibility & UX

Deployment

Documentation

Open Questions

References

30 KiB

Raw Blame History