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turash/docs/concept/08_platform_architecture_features.md
Damir Mukimov 000eab4740
Major repository reorganization and missing backend endpoints implementation 
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)
2025-11-25 06:01:16 +01:00

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6. Platform Architecture & Features

Platform-Related Information Categories

Based on systematic analysis of existing industrial symbiosis platforms, the system incorporates five critical platform-related information categories:

1. Accessibility and Openness

  • Critical Mass: Platform requires sufficient active users for meaningful matchmaking (network effect principle)
  • User Participation: Active engagement rate determines platform effectiveness
  • Access Model: Open registration vs. invitation-only for specific networks
  • Geographic Scope: Local, regional, national, or international reach

2. Sociability Features

  • Social Network Integration: Communication channels, forums, and relationship building
  • Trust Building: Pre-existing relationship mapping and reputation systems
  • Community Features: Groups, blogs, event calendars for IS networking
  • Real-time Collaboration: Chat, discussion boards, knowledge sharing

3. Database Architecture

  • Background Knowledge Base: External databases with scientific literature, case studies, LCA data
  • Consistent Taxonomy: Standardized classification systems (EWC, NACE codes)
  • Self-Learning Capabilities: NLP processing for continuous knowledge expansion
  • Multi-source Integration: Scientific, regulatory, and case study data sources

4. Interactive Visualization

  • Geospatial Mapping: Interactive maps with distance calculations and transportation costs
  • Flow Visualization: Sankey diagrams and heat maps for resource flows
  • Multi-criteria Filtering: Dynamic filters by resource type, location, quality, cost
  • Scenario Simulation: Drag-and-drop interface for "what-if" analyses
  • Ranking & Sorting: User-customizable result prioritization

5. Decision Support & Assessment Methods

  • Economic Evaluation: NPV, IRR, payback period, ROI calculations
  • Environmental Impact: LCA, CFP, material flow analysis
  • Multi-criteria Decision Analysis: AHP, fuzzy logic for weighted evaluations
  • Risk Assessment: Reliability analysis of proposed synergies
  • Sensitivity Analysis: Impact of parameter variations on viability

6. Real-Time Engagement & Event-Driven Features

  • Live Alerts: "New 22 kW @ 40°C source added within 500m" (<5s delivery, 99.5% reliability)
  • Price Change Notifications: "Waste collector raised prices 12%" (triggers 15% engagement increase)
  • Match Updates: Real-time status changes (suggested → negotiating → contracted) (100% delivery guarantee)
  • Service Availability: "New certified heat exchanger installer" (2km radius, <10min response)
  • Market Intelligence: Aggregated trends ("Heat demand up 15%") (daily digest, 25% open rate target)

Event Processing Architecture:

  • Throughput: 10,000+ events/second processing capacity
  • Latency: <100ms event processing, <5s user notification delivery
  • Reliability: 99.9% message delivery, exactly-once semantics
  • Scalability: Auto-scale 2-20x during peak loads
  • Resource changes: Trigger match recomputation (<30s for local updates)
  • WebSocket connections: 1,000+ concurrent users supported
  • Background jobs: Nightly full re-match (4-hour window, 95% accuracy improvement)