circularlink 1.0.0

AI-Driven Marketplace for Industrial Circular Economy — Terminal UI

CircuLink Terminal

AI-Driven Marketplace for Industrial Circular Economy
A production-quality Python TUI (Terminal User Interface) that connects industrial buyers and sellers of waste materials, by-products, and recyclables using intelligent fuzzy matching, real-time GSTIN compliance, and Gemini 2.5 Flash AI reasoning.

---

Features

Feature	Detail
GSTIN-gated KYC	Full 15-character GSTIN regex validation with Indian state-code lookup
AI Byproduct Prediction	Seller describes a process → Gemini 2.5 Flash predicts likely marketable byproducts
Hazardous Screening	57-substance database (CAS + name); CAS match → exact → substring → RapidFuzz ≥85 — blocked listings never appear in search
Intelligent Search	Buyer enters a query → Gemini expands synonyms → RapidFuzz ensemble scoring → ranked results
Weighted Scoring	final_score = 0.7 × fuzzy_score + 0.3 × location_score
Location Proximity	Haversine distance + exponential decay; 100+ Indian industrial cities pre-geocoded
Persistent Storage	~/.circularlink/ flat-JSON store; JSONL audit trail for every LLM call
Full TUI	Rich color scheme, sidebar navigation, modal dialogs — zero browser required

---

Quick Start

pip install circularlink
circularlink

From source (editable install)

git clone https://github.com/your-org/circularlink.git
cd circularlink
pip install -e .
circularlink

Requires Python 3.11+.

---

First Run

1. On launch you will see the Welcome / Login screen.
2. Switch to the Register tab.
3. Enter your company details — GSTIN is validated live.
4. Paste your Google AI Studio API key (from aistudio.google.com).
5. Register → you enter the main application.

Subsequent launches auto-restore your session via ~/.circularlink/config.json.

💡 Need test data? See SAMPLE_DATA.md for ready-to-use company credentials and testing scenarios.

---

Navigation

Key	Screen
F1	Dashboard — stats, recent matches, LLM audit log
F2	Buy: Intelligent Sourcing — search / browse / history
F3	Sell: Inventory — AI scan, manual add, hazard status
F4	KYC / Settings — edit profile, change API key, logout
Ctrl+Q	Quit

---

Architecture

src/circularlink/
├── app.py                  # Root App — LoginEvent, LogoutEvent, screen routing
├── __main__.py             # CLI entry point  →  circularlink
├── styles.tcss             # Textual CSS — Industrial Earth & Tech palette
│
├── core/
│   ├── gstin.py            # GSTIN regex validator + state-code lookup
│   ├── geo.py              # City geocoding, haversine, location scoring
│   ├── hazard.py           # 4-strategy hazardous material checker
│   ├── matcher.py          # FuzzyMatcher: ensemble NLP + weighted geo scoring
│   └── gemini_agent.py     # Gemini 2.5 Flash: byproduct prediction + keyword expansion
│
├── storage/
│   └── db.py               # JSON persistence layer (companies, products, matches, logs)
│
├── screens/
│   ├── welcome.py          # Login + Registration + live GSTIN validation
│   ├── dashboard.py        # F1 — stats, match table, LLM log
│   ├── buyer.py            # F2 — search, Gemini expansion, ranked results
│   ├── seller.py           # F3 — AI byproduct scan, hazard check, inventory
│   ├── kyc.py              # F4 — profile management, logout, account delete
│   └── modals.py           # MessageModal, ConfirmModal, AddProductModal, SearchModal
│
└── data/
    └── hazardous.csv       # 57 hazardous substances (CAS + name + UN number)

Scoring Formula

$$\text{final_score} = 0.7 \times \text{fuzzy_score} + 0.3 \times \text{location_score}$$

• fuzzy_score = ensemble average of RapidFuzz token_set_ratio, token_sort_ratio, partial_ratio across product name and description
• location_score = $e^{-d / (R/5)}$ where $d$ is Haversine distance in km and $R$ is max_radius_km (default 2000 km)

Hazard Check Strategy (defence-in-depth)

1. CAS number regex match against CSV
2. Exact name match (case-insensitive)
3. Substring containment (both directions)
4. RapidFuzz token_set_ratio ≥ 85

Any hit → product status set to blocked; never returned in buyer search.

---

Environment Variables

Variable	Purpose
GOOGLE_API_KEY	Fallback API key if none stored in DB

Recommended: set key via the KYC / Settings screen (stored locally, never transmitted outside Gemini API calls).

---

Storage

All data is stored under ~/.circularlink/:

~/.circularlink/
├── config.json         # api_key, current_company_id
├── companies.json      # Registered companies
├── products.json       # Product listings (approved / blocked / pending)
├── matches.json        # Saved search results
└── llm_logs/
    └── YYYY-MM-DD.jsonl  # Append-only Gemini call audit log

---

Dependencies

Package	Version	Purpose
textual	≥0.80.0	TUI framework
google-generativeai	≥0.8.0	Gemini 2.5 Flash API
rapidfuzz	≥3.9.0	Fuzzy NLP matching
rich	≥13.7.0	Terminal rendering
geopy	≥2.4.0	Geocoding utilities

---

Color Scheme

Role	Hex	Usage
Background Deep	#1A1B26	Screen background
Background Panel	#24253A	Sidebar, cards
Seller / Red	#E06C75	Seller UI, warnings
Buyer / Green	#98C379	Buyer UI, success
AI / Blue	#61AFEF	Gemini highlights
Hazard / Amber	#D19A66	Hazard banners
Accent / Purple	#C678DD	Hotkeys, accents

---

Publishing to PyPI

pip install build twine
python -m build
twine upload dist/*

---

License

MIT — see LICENSE for details.

---

Acknowledgements

Built with Textual by Textualize, Google Generative AI, and RapidFuzz.