35 lines
1.5 KiB
Markdown
35 lines
1.5 KiB
Markdown
# Technical Requirements
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## Data Architecture
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**Core Collections:**
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1. **tasks** - Primary task entity with rich metadata
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2. **projects** - Project hierarchy and organization
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3. **task_statuses** - Customizable status definitions
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4. **task_assignments** - User and AI agent assignments
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5. **task_dependencies** - Task relationship management
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6. **task_time_entries** - Time tracking and progress data
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7. **task_templates** - Reusable task patterns
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**Relationships:**
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- Many-to-many: tasks ↔ projects, tasks ↔ users, tasks ↔ tags
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- One-to-many: projects → tasks, task_statuses → tasks
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- Self-referential: tasks → dependencies, projects → sub-projects
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**Integration Collections:**
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8. **task_ai_contexts** - AI agent context and prompt data
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9. **task_bmad_workflows** - BMad methodology integration
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10. **task_external_refs** - Links to Task Master, GitHub issues, etc.
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## Performance Requirements
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- **Response Time** - <100ms for basic CRUD operations
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- **Scalability** - Support 10,000+ tasks across 100+ projects
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- **Availability** - 99.9% uptime leveraging existing Directus infrastructure
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- **Concurrent Users** - 50+ simultaneous users on Directus interface
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## Security Requirements
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- **Authentication** - Leverage existing Directus authentication system
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- **Authorization** - Role-based access control for tasks and projects
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- **Data Protection** - Encryption at rest using Directus security features
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- **API Security** - Rate limiting and token-based authentication for API access
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