turash/08_platform_architecture_features.md at f3e6e9d44a6fd53f0b09eb1c244e5036494bc480

mirror of https://github.com/SamyRai/turash.git synced 2025-12-26 23:01:33 +00:00

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

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)

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