2d80a8384e
- Custom Fields (FEAT-001): - CustomField and TaskCustomValue models with formula support - CRUD API for custom field management - Formula engine for calculated fields - Frontend: CustomFieldEditor, CustomFieldInput, ProjectSettings page - Task list API now includes custom_values - KanbanBoard displays custom field values - Gantt View (FEAT-003): - TaskDependency model with FS/SS/FF/SF dependency types - Dependency CRUD API with cycle detection - start_date field added to tasks - GanttChart component with Frappe Gantt integration - Dependency type selector in UI - Calendar View (FEAT-004): - CalendarView component with FullCalendar integration - Date range filtering API for tasks - Drag-and-drop date updates - View mode switching in Tasks page - File Encryption (FEAT-010): - AES-256-GCM encryption service - EncryptionKey model with key rotation support - Admin API for key management - Encrypted upload/download for confidential projects - Migrations: 011 (custom fields), 012 (encryption keys), 013 (task dependencies) - Updated issues.md with completion status 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
PROJECT CONTROL Backend
FastAPI 後端服務
系統需求
必要服務
| 服務 | 版本 | 說明 |
|---|---|---|
| Python | 3.11+ | 執行環境 |
| MySQL | 8.0+ | 主要資料庫 |
| Redis | 6.0+ | Session 存儲 |
Redis Server 安裝
Redis Python 套件 (redis==5.0.1) 僅為客戶端，需另外安裝 Redis Server：
macOS (Homebrew):
brew install redis
brew services start redis
Ubuntu/Debian:
sudo apt update
sudo apt install redis-server
sudo systemctl start redis-server
sudo systemctl enable redis-server
Docker:
docker run -d --name redis -p 6379:6379 redis:alpine
驗證安裝:
redis-cli ping
# 應回傳 PONG
環境建置
# 使用 Conda
conda env create -f environment.yml
conda activate pjctrl
# 或使用 pip
pip install -r requirements.txt
設定
複製並編輯環境變數：
cp .env.example .env
主要設定項目：
MYSQL_*- 資料庫連線REDIS_*- Redis 連線JWT_SECRET_KEY- JWT 簽名密鑰 (生產環境必須更換)AUTH_API_URL- 外部認證 API
執行
# 開發模式
uvicorn app.main:app --reload --port 8000
# 生產模式
uvicorn app.main:app --host 0.0.0.0 --port 8000
資料庫遷移
# 升級至最新版本
alembic upgrade head
# 回滾一個版本
alembic downgrade -1
測試
pytest -v