MetafoamAutoCompression
type: Module
layer: CORE
domain: STORE
condition: EXPERIMENTAL
stage: ACTIVE
tier: FOAM
module: ENE_METAFOAM_AUTO_COMPRESSION
archetype: deep_vault
version: 1.0.0
tags: compression
tags: metafoam
tags: gcl
tags: ene
tags: webrtc
description: ENE automatic metafoam compression with GCL encoding for massive metadata storage reduction
specification: MetafoamAutoCompressionSpec

MetafoamAutoCompressionSpec
type: Specification
title: ENE Metafoam Auto-Compression with GCL Encoding
purpose: Automatically compress and encode metadata using metafoam and Genetic Coding Language (GCL) to achieve 97.6% metadata storage reduction, critical for high-frequency WebRTC actions
components: MetafoamCompressionAdapter
components: GeneticCodonEncoder
components: ENEAPIHook
storage savings:
  metadata reduction: 97.6%
  old metadata size: ~5KB JSON manifest per entry
  new metadata size: 117 bytes GCL sequence per entry
  savings per entry: ~4.9KB
  webrtc impact:
    scenario: 10,000 WebRTC actions
    old metadata: 50MB
    new metadata: 1.2MB
    savings: 48.8MB
  large files: metadata overhead becomes negligible (<0.01%)
  small files: significant cumulative savings across many entries
integration points:
  metafoam#: PTOS schema, genetic compression, meta_capsule
  rgflow: blind detector, lawful phase detection, attractor analysis
  gcl#: hachimoji alphabet, codon encoding, genetic sequences
  ene#: AES-256-GCM encryption, semantic key derivation, access control
  webrtc: high-frequency action coordination, mesh communication
benefits: Massive metadata storage reduction (97.6%)
benefits: Faster WebRTC packet transmission (smaller metadata)
benefits: Lower latency (less serialization/deserialization)
benefits: Reduced bandwidth costs for swarm coordination
benefits: Rich metadata preserved in genetic format
benefits: Automatic compression with no user intervention
benefits: Backward compatible with use_metafoam flag
performance metrics:
  compression ratio: 0.12-0.97 (depending on data type)
  gcl encoding time: <10ms per entry
  storage overhead: <0.01% for large files
  webrtc latency improvement: estimated 20-30% reduction
security:
  encryption: AES-256-GCM with semantic key derivation
  access control: ENESecurityManager with clearance levels
  integrity: SHA-256 hash verification
  audit: access log with cryptographic signatures
implementation status:
  compression adapter: completed
  gcl encoder: completed
  ene integration: completed
  testing: completed
  documentation: in_progress
files:
  compression adapter: scripts/compression_metafoam_adapter.py
  gcl encoder: scripts/genetic_codon_encoder.py
  ene api: infra/ene_api.py
  batch compressor: scripts/batch_metafoam_papers.py
  rgflow detector: scripts/rgflow_blind_detector.py
schema version: metafoam-compression/v1
gcl version: 1.0.0
ptos schema: PTOS_TAG_SCHEMA v1.0

MetafoamCompressionAdapter
type: Component
name: Metafoam Compression Adapter
description: Integrates metafoam compression with unified compression system
operations: compress with metafoam metadata

compress with metafoam metadata
type: Operation
name: Compress with Metafoam Metadata
input: raw_bytes
output:
  compressed blob: zlib compressed data
  manifest: PTOS-compliant JSON manifest
  compression metadata: Field phi, information density, anisotropy, RGFlow metrics
compression method: zlib_level_9
genetic compression: true
rgflow analysis: true

GeneticCodonEncoder
type: Component
name: Genetic Codon Encoder
description: Encodes PTOS metadata into genetic codon sequences using hachimoji 8-symbol alphabet
alphabet: A
alphabet: T
alphabet: C
alphabet: G
alphabet: U
alphabet: P
alphabet: Z
alphabet: B
encoding:
  ptos metadata: encoded as codon sequence
  compression metrics: encoded as codon sequence
  omnitoken position: 14-axis position as codons
  tags: string hash to codons
output:
  sequence length: 117 bases (39 codons)
  structure: ATG (start) + PTOS + compression + omnitoken + tags + TAA (stop) + hash

ENEAPIHook
type: Component
name: ENE API Hook with Auto-Compression
description: ENE API automatically applies metafoam compression and GCL encoding on store
methods:
  store sensitive data:
    parameters:
      pkg: package identifier
      payload: data to store
      classification: access level
      semantic vector: optional semantic coordinates
      use metafoam: enable auto-compression (default: true)
    process: Derive encryption key from semantic vector
    process: Compress payload with metafoam (zlib + genetic + RGFlow)
    process: Encode manifest to GCL sequence
    process: Store GCL sequence instead of full JSON
    process: Encrypt and store in database
    database columns:
      gcl sequence: 117-base GCL encoded metadata
      compression stats: compression_ratio, field_phi, foam_score, rgflow_lawful, tags
    output:
      success: boolean
      id: data identifier
      gcl encoded: boolean
      gcl length: integer (bytes)
      compression stats: object
  retrieve sensitive data:
    parameters:
      pkg: package identifier
      clearance: access level
    process: Query database for package
    process: Check access clearance
    process: Decrypt GCL sequence
    process: Verify integrity hash
    process: Return payload with compression stats
    output:
      success: boolean
      payload: decrypted GCL sequence
      gcl sequence: raw GCL sequence
      compression stats: compression metadata