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)
25 lines
994 B
Markdown
25 lines
994 B
Markdown
## 3. System Overview
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### 🧩 Core Idea
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A **geo-temporal resource graph**:
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* **Nodes:** 2.1M+ industrial entities across EU-27
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* **Edges:** €50B+ annual potential resource exchanges
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* **Resources:** typed and parameterized flows (heat, water, CO₂, chemicals, by-products, etc.)
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* **Engine:** spatial and semantic matching + economic evaluation
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*For detailed market opportunity analysis, see [01_market_analysis.md](01_market_analysis.md)*
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**Scale Metrics**:
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- **Initial Target**: 500 businesses, 50 cities (Year 1)
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- **Growth Target**: 5,000 businesses, 200 cities (Year 3)
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- **Performance Goals**: <2s match response, >85% uptime, >99% data accuracy
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- **Economic Impact**: €500M+ annual savings, 100k+ tons CO₂ reduction (Year 1)
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*For detailed project roadmap and metrics, see [28_project_roadmap.md](28_project_roadmap.md)*
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The backend continuously updates the graph as new data streams (meters, ERP feeds, or manual inputs) arrive, and computes new match opportunities.
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---
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