holosphere
v1.0.7
Published
Holonic Geospatial Communication Infrastructure
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HoloSphere
HoloSphere is a decentralized geospatial data management system that combines hierarchical hexagonal tiling (H3) with distributed data storage (GunDB) and AI-powered processing of information.
Features
- Hierarchical Spatial Data: Uses Uber's H3 spatial indexing system for efficient geospatial data organization
- Decentralized Storage: Built on GunDB for peer-to-peer data storage and synchronization
- Schema Validation: JSON Schema validation for data integrity
- AI Processing: Extensible AI-powered content analysis and summarization across hexagonal regions
- Voting System: Built-in delegation and voting mechanisms for collaborative decision-making
- Multi-scale Operations: Automatic content propagation across different spatial resolutions
License
GNU Lesser General Public License v3.0 (LGPL-3.0)
This library is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public License along with this library; if not, see https://www.gnu.org/licenses/.
Key Points of LGPL-3.0
- You can use this library in proprietary applications
- Any modifications to the library itself must be distributed under LGPL
- Applications that use the library don't have to be LGPL
- If you modify the library, you must make the source code available
- You must provide a way for users to relink with a modified version of the library
Dependencies
Core Dependencies
- h3-js: Uber's H3 geospatial indexing system
- gun: Decentralized graph database
- ajv: JSON Schema validation
- lodash: Utility functions
Optional Dependencies
- langchain: AI/LLM integration framework
- openai: OpenAI API client (optional)
Getting Started
npm install holosphere
Basic Usage
import { HoloSphere } from 'holosphere';
// Initialize HoloSphere with your configuration
const holo = new HoloSphere({
peers: ['http://localhost:8765/gun'],
aiProvider: 'local' // or 'openai', 'azure', etc.
});
// Create or access a hexagonal region
const hex = await holo.getHex('8928308280fffff');
// Store data in the region
await hex.put({
type: 'observation',
data: {
temperature: 22.5,
timestamp: Date.now()
}
});
// Subscribe to changes
hex.subscribe(data => {
console.log('New data:', data);
});
Advanced Features
Spatial Queries
// Find all hexagons within a radius
const hexagons = await holo.findWithin({
lat: 37.7749,
lng: -122.4194,
radius: 5000 // meters
});
// Query data across multiple resolutions
const aggregatedData = await holo.aggregate({
hexIds: hexagons,
resolution: 7,
method: 'average'
});
AI Processing
// Process content with AI
const summary = await hex.processContent({
processor: 'summarize',
options: {
maxLength: 100
}
});
// Analyze trends across regions
const analysis = await holo.analyzeRegion({
hexIds: hexagons,
timeRange: '7d',
metrics: ['sentiment', 'topics']
});
Voting and Governance
// Create a proposal
const proposal = await hex.createProposal({
title: 'Update Data Schema',
description: 'Add new fields for environmental metrics',
changes: {
schema: newSchemaDefinition
}
});
// Cast a vote
await proposal.vote({
support: true,
weight: 1.0
});
Configuration
HoloSphere can be configured with various options:
const config = {
// Network configuration
peers: ['https://peer1.example.com/gun', 'https://peer2.example.com/gun'],
// Storage options
storage: {
type: 'indexeddb',
namespace: 'my-app'
},
// AI processing configuration
ai: {
provider: 'local',
model: 'gpt-3.5-turbo',
apiKey: process.env.AI_API_KEY
},
// Schema validation
schema: {
strict: true,
customValidators: {}
}
};
const holo = new HoloSphere(config);
Documentation
For detailed documentation, please visit our documentation site.
Contributing
We welcome contributions! Please see our Contributing Guide for details on:
- Code of Conduct
- Development setup
- Testing guidelines
- Pull request process
Support
Roadmap
- [ ] Enhanced spatial indexing algorithms
- [ ] Additional AI model integrations
- [ ] Improved data replication strategies
- [ ] Extended governance mechanisms
- [ ] Mobile SDK development
Citation
If you use HoloSphere in your research, please cite:
@software{holosphere2024,
author = {Roberto Valenti},
title = {HoloSphere: Decentralized Geospatial Data Management},
year = {2024},
url = {https://github.com/holosphere/holosphere}
}