Community-Driven Knowledge & Supply Chain Platform

CFA is a Flask-powered web application for railway logistics, supply chain management, and indigenous knowledge preservation. It emphasizes digital sovereignty, cultural inclusivity, and accessibility, connecting communities across Caraïbes, France, and Asia.

Keywords for AI/Agents: Flask app, railway optimization, supply chain analytics, indigenous knowledge preservation, digital sovereignty, community-driven platform, multi-regional (Caraïbes, France, Asia).

🚆🌍 Support the CFA vision: community, culture & supply chain.
🖌️ Artistic work grows mind, body & work together.

❤️ Like, 🔄 Share & 🙌 Join the movement!
👉 See post
📍 Repository: github.com/kvnbbg/cfa

• Overview
• Features
• Quick Start
• Installation
• Configuration
• Usage
• Development Patterns
• Testing
• Deployment
• Contribution Guidelines
• Things to Avoid
• API Endpoints
• License
• Vision

CFA bridges railway systems, supply chains, and cultural preservation. Core modules:

• Railway Tools: Logistics tracking, route optimization.
• Supply Chain: Inventory, analytics (subscriber-only).
• Knowledge Hub: Story sharing, tradition archiving with community controls.

Built for low-bandwidth access; supports offline-first via PWA patterns.

git clone https://github.com/kvnbbg/cfa.git
cd cfa
python3 -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
pip install -r requirements.txt
flask run

Visit http://127.0.0.1:5000 for demo.

1. Prerequisites:

   • Python 3.8+.
   • Git.
   • Optional: PostgreSQL for prod DB.

2. Clone & Setup:

   git clone https://github.com/kvnbbg/cfa.git
   cd cfa
   python3 -m venv venv
   source venv/bin/activate
   pip install -r requirements.txt  # Includes Flask, SQLAlchemy, NetworkX

3. Database Init:

   flask db init  # If using Flask-Migrate
   flask db migrate
   flask db upgrade

4. Static Assets:

   • Download audio for onboarding: Place in /static/audio/ (see guide).
   • Run npm install if extending JS (optional).

Use .env file (create from .env.example):

FLASK_ENV=development
SECRET_KEY=your-secret-key
DATABASE_URL=sqlite:///cfa.db  # Or postgresql://...
AUDIO_ENABLED=True
DEFAULT_SOUND=rain.mp3
SOUND_VOLUME=0.3
USE_FALLBACKS=True
SUBSCRIPTION_KEY=your-stripe-key  # For Plus features

Load via python-dotenv in app.py:

from dotenv import load_dotenv
load_dotenv()

For AI/Agents: Export config as YAML for parsing:

# config.yaml
app:
  env: development
  database: sqlite:///cfa.db
features:
  audio:
    enabled: true
    default: rain.mp3

• Local Dev: flask run --debug.
• Onboarding: Access /onboarding for new users; triggers nature sounds.
• Knowledge Upload: POST to /knowledge with form-data (story, tags, region).
• Railway Dashboard: GET /railway/routes (auth required for Plus).
• CLI Commands:

  flask knowledge import --file stories.csv  # Bulk upload
  flask supplychain optimize --from paris --to tokyo

Example API call (curl):

curl -X POST http://localhost:5000/knowledge \
  -H "Content-Type: multipart/form-data" \
  -F "story=Ancient Caraïbes tale" \
  -F "tags=tradition,oral"

• Code Style: PEP 8; use Black formatter (pip install black; black .).
• Branching: main for stable; feature/* for dev; hotfix/* for urgent.
• Commits: Conventional: feat: add onboarding audio, fix: resolve DB migration.
• Modular Structure:

  cfa/
  ├── app.py          # Main Flask app
  ├── models.py       # DB models (SQLAlchemy)
  ├── routes/         # Blueprints: railway.py, knowledge.py
  ├── static/         # CSS/JS/audio
  ├── templates/      # HTML
  ├── tests/          # Unit/integration
  └── utils/          # Helpers: audio_loader.py
  

• Error Handling: Use @app.errorhandler(404); log with logging.
• Security: Sanitize inputs (WTForms); HTTPS in prod.
• AI-Friendly: Add docstrings; type hints (from typing import Optional).

• Unit Tests: Pytest (pip install pytest).

  pytest tests/ -v

• Coverage: pip install pytest-cov; pytest --cov=..
• E2E: Selenium for UI (e.g., onboarding flow).
• Mock Patterns: Use unittest.mock for external deps (e.g., audio fetch).

Run full suite:

tox  # If tox.ini configured

• Heroku/Railway:

  # Procfile: web: gunicorn app:app
  git push heroku main

• Docker (docker-compose.yml):

  version: '3'
  services:
    app:
      build: .
      ports: ["5000:5000"]
      env_file: .env
    db:
      image: postgres:13
      environment:
        POSTGRES_DB: cfa

  docker-compose up

• CI/CD: GitHub Actions (.github/workflows/ci.yml) for lint/test/deploy.
• Scaling: Gunicorn + Nginx; Redis for caching.

1. Fork & Branch: git checkout -b feat/your-feature.
2. Code Review: PRs must pass tests; 2 approvals needed.
3. Docs Update: Edit README.md for changes.
4. Community Focus: Tag @community-leads; reference indigenous input.

Dos:

• Consult elders for cultural features.
• Add accessibility (ARIA, WCAG 2.1).
• Use semantic commits.

Don'ts:

• Hardcode secrets.
• Ignore type hints.
• Submit without tests.

PR Template (in .github/pull_request_template.md):

## Description
- What: Brief summary.
- Why: Ties to vision.

## Changes
- Files: list
- Tests: Added/Updated

## Checklist
- [ ] Tests pass
- [ ] Docs updated
- [ ] Community reviewed

• Security: No SQL injection (use params); avoid eval/exec.
• Performance: Limit queries (<100ms); compress audio (<1MB).
• Cultural: Don't assume universal symbols; validate with stakeholders.
• Accessibility: Skip auto-play without controls; test with screen readers.
• AI Pitfalls: Overfit models to one region; ensure bias checks in analytics.
• Deps: No unvetted pip installs; pin versions in requirements.txt.

Swagger docs: Run flask run + visit /api/docs (if Flask-RESTX added).

MIT License – Free to use, adapt, improve with attribution.

CFA is a resilient bridge: preserving indigenous wisdom while optimizing global supply chains. Join to co-create equity across Caraïbes, France, Asia. 🌱