mirror of
https://github.com/SamyRai/turash.git
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000eab4740
Repository Structure:
- Move files from cluttered root directory into organized structure
- Create archive/ for archived data and scraper results
- Create bugulma/ for the complete application (frontend + backend)
- Create data/ for sample datasets and reference materials
- Create docs/ for comprehensive documentation structure
- Create scripts/ for utility scripts and API tools
Backend Implementation:
- Implement 3 missing backend endpoints identified in gap analysis:
* GET /api/v1/organizations/{id}/matching/direct - Direct symbiosis matches
* GET /api/v1/users/me/organizations - User organizations
* POST /api/v1/proposals/{id}/status - Update proposal status
- Add complete proposal domain model, repository, and service layers
- Create database migration for proposals table
- Fix CLI server command registration issue
API Documentation:
- Add comprehensive proposals.md API documentation
- Update README.md with Users and Proposals API sections
- Document all request/response formats, error codes, and business rules
Code Quality:
- Follow existing Go backend architecture patterns
- Add proper error handling and validation
- Match frontend expected response schemas
- Maintain clean separation of concerns (handler -> service -> repository)
58 lines
3.2 KiB
Markdown
58 lines
3.2 KiB
Markdown
## 6. Platform Architecture & Features
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### Platform-Related Information Categories
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Based on systematic analysis of existing industrial symbiosis platforms, the system incorporates five critical platform-related information categories:
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#### 1. Accessibility and Openness
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- **Critical Mass**: Platform requires sufficient active users for meaningful matchmaking (network effect principle)
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- **User Participation**: Active engagement rate determines platform effectiveness
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- **Access Model**: Open registration vs. invitation-only for specific networks
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- **Geographic Scope**: Local, regional, national, or international reach
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#### 2. Sociability Features
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- **Social Network Integration**: Communication channels, forums, and relationship building
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- **Trust Building**: Pre-existing relationship mapping and reputation systems
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- **Community Features**: Groups, blogs, event calendars for IS networking
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- **Real-time Collaboration**: Chat, discussion boards, knowledge sharing
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#### 3. Database Architecture
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- **Background Knowledge Base**: External databases with scientific literature, case studies, LCA data
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- **Consistent Taxonomy**: Standardized classification systems (EWC, NACE codes)
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- **Self-Learning Capabilities**: NLP processing for continuous knowledge expansion
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- **Multi-source Integration**: Scientific, regulatory, and case study data sources
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#### 4. Interactive Visualization
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- **Geospatial Mapping**: Interactive maps with distance calculations and transportation costs
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- **Flow Visualization**: Sankey diagrams and heat maps for resource flows
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- **Multi-criteria Filtering**: Dynamic filters by resource type, location, quality, cost
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- **Scenario Simulation**: Drag-and-drop interface for "what-if" analyses
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- **Ranking & Sorting**: User-customizable result prioritization
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#### 5. Decision Support & Assessment Methods
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- **Economic Evaluation**: NPV, IRR, payback period, ROI calculations
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- **Environmental Impact**: LCA, CFP, material flow analysis
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- **Multi-criteria Decision Analysis**: AHP, fuzzy logic for weighted evaluations
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- **Risk Assessment**: Reliability analysis of proposed synergies
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- **Sensitivity Analysis**: Impact of parameter variations on viability
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#### 6. Real-Time Engagement & Event-Driven Features
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- **Live Alerts**: "New 22 kW @ 40°C source added within 500m" (<5s delivery, 99.5% reliability)
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- **Price Change Notifications**: "Waste collector raised prices 12%" (triggers 15% engagement increase)
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- **Match Updates**: Real-time status changes (suggested → negotiating → contracted) (100% delivery guarantee)
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- **Service Availability**: "New certified heat exchanger installer" (2km radius, <10min response)
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- **Market Intelligence**: Aggregated trends ("Heat demand up 15%") (daily digest, 25% open rate target)
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**Event Processing Architecture**:
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- **Throughput**: 10,000+ events/second processing capacity
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- **Latency**: <100ms event processing, <5s user notification delivery
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- **Reliability**: 99.9% message delivery, exactly-once semantics
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- **Scalability**: Auto-scale 2-20x during peak loads
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- **Resource changes**: Trigger match recomputation (<30s for local updates)
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- **WebSocket connections**: 1,000+ concurrent users supported
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- **Background jobs**: Nightly full re-match (4-hour window, 95% accuracy improvement)
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---
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