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Holonic Schemas

Holonic Governance System Schema

Supabase SQL schema to get you started with your Holonic Digital Simulation system. This includes:

holons – network entities

simulations – test runs linked to holons

proposals – governance proposals

votes – voting mechanics

resources – dynamic resource tracking

feedback – feedback loop and governance review

automations – automation rules and logic

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📜 Supabase SQL Schema (Run in Supabase SQL Editor)

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-- Enable UUID extension if not already

CREATE EXTENSION IF NOT EXISTS "uuid-ossp";

-- 1. Holons Table

CREATE TABLE holons (

id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),

name TEXT NOT NULL,

governance_level TEXT CHECK (governance_level IN ('Local', 'Regional', 'Global')),

interaction_scope TEXT CHECK (interaction_scope IN ('Autonomous', 'Coordinated', 'Network-Wide')),

created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP

);

-- 2. Simulations Table

CREATE TABLE simulations (

id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),

holon_id UUID REFERENCES holons(id) ON DELETE CASCADE,

simulation_type TEXT CHECK (simulation_type IN ('Governance', 'Resource Flow', 'Decision-Making')),

outcome TEXT CHECK (outcome IN ('Pending', 'Successful', 'Needs Adjustment')),

timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP

);

-- 3. Proposals Table

CREATE TABLE proposals (

id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),

title TEXT NOT NULL,

description TEXT,

status TEXT CHECK (status IN ('Pending', 'Approved', 'Rejected')) DEFAULT 'Pending',

created_by UUID REFERENCES holons(id),

created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,

deadline TIMESTAMP

);

-- 4. Votes Table

CREATE TABLE votes (

id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),

proposal_id UUID REFERENCES proposals(id) ON DELETE CASCADE,

voter_id UUID REFERENCES holons(id) ON DELETE CASCADE,

vote BOOLEAN NOT NULL,

timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP

);

-- 5. Resources Table

CREATE TABLE resources (

id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),

holon_id UUID REFERENCES holons(id) ON DELETE CASCADE,

type TEXT CHECK (type IN ('Energy', 'Tokens', 'Data', 'Compute')),

quantity NUMERIC,

timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP

);

-- 6. Feedback Table

CREATE TABLE feedback (

id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),

category TEXT CHECK (category IN ('Governance', 'Decision-Making', 'Resource Flow')),

submitted_by UUID REFERENCES holons(id),

type TEXT CHECK (type IN ('Issue', 'Suggestion', 'Observation')),

urgency TEXT CHECK (urgency IN ('Low', 'Medium', 'High')),

resolution_status TEXT CHECK (resolution_status IN ('Pending', 'Resolved', 'In Review')) DEFAULT 'Pending',

created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP

);

-- 7. Automations Table

CREATE TABLE automations (

id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),

trigger_type TEXT,

action_type TEXT,

config JSONB,

enabled BOOLEAN DEFAULT TRUE,

created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP

);

🧱 Holons Table

These rows define the core agents in your holonic network (individuals, teams, orgs). They allow you to:

Represent entities within nested, fractal, or distributed structures

Track governance levels and decision-making scope per node

Establish relational mappings between holons and all other system functions (simulations, votes, resources, etc.)

Build network topologies and visualization layers

Categorize system roles and access rules based on holon properties

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🔁 Simulations Table

These rows serve as foundational test runs in your holonic network. They allow you to:

Display simulation history in your Lovable app

Track how each holon has performed across simulation types

Build analytics (e.g., simulation outcome stats by holon or governance level)

Trigger automations or governance responses based on simulation outcomes

Seed future proposals based on simulation feedback

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🗳️ Proposals Table

These rows represent governance proposals circulating within the network. They allow you to:

Enable decentralized decision-making processes

Assign proposals to holons and track who initiates what

Capture lifecycle states (Pending, Approved, Rejected) across voting phases

Define time-based logic with deadlines for quorum enforcement

Log historical governance events to support transparency and accountability

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✅ Votes Table

These rows log the individual voting actions of holons on proposals. They allow you to:

Record participation in collective governance

Compute vote outcomes and quorum thresholds

Analyze voting behavior across the network (e.g., consensus levels, voter engagement)

Prevent double-voting and ensure proposal integrity

Connect directly to proposals for outcome computation and resolution

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⚡ Resources Table

These rows track the flow and status of resources across the network. They allow you to:

Model dynamic resource allocation (energy, tokens, compute, data, etc.)

Visualize real-time holdings of each holon

Detect surpluses, bottlenecks, or scarcity conditions

Power economic simulations or reward distribution systems

Trigger automation when resources fall below or above thresholds

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📬 Feedback Table

These rows capture the adaptive intelligence of the network through real-time feedback loops. They allow you to:

Log issues, suggestions, and observations submitted by holons

Prioritize system improvements using urgency levels

Monitor the resolution status of each item

Build participatory mechanisms for governance refinement

Generate pattern intelligence on systemic inefficiencies and opportunities

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🤖 Automations Table

These rows define rule-based logic and dynamic behaviors in your system. They allow you to:

Trigger actions based on real-time conditions or thresholds (e.g., resource drop → alert)

Define reusable configurations in structured JSON

Enable or disable automation flows without touching core code

Build workflows for governance, resource rebalancing, notifications, etc.

Evolve into a full event-driven engine for intelligent network adaptation

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