| |
| """ |
| PATTERN.BRIDGE — Emergence Core / Software Bridge for Newly Emerged Patterns. |
| |
| Closed-loop emergence system: |
| emergent_detector → identify novel patterns in sandbox/live data |
| code_synthesizer → auto-write modules, agents, patches |
| validation_engine → verify coherence, ethics, stability |
| deployment_orchestrator → safe rollout into the main system |
| pattern_archive → catalog of all emerged patterns |
| |
| This is the "software bridge for new emerged patterns" from the spec: |
| new patterns detected in the sandbox or subconscious are synthesized |
| into code candidates, validated, and staged for deployment. |
| """ |
|
|
| from __future__ import annotations |
|
|
| import hashlib |
| import time |
| from typing import Any, Dict, List, Optional |
|
|
|
|
| class EmergentPattern: |
| """A pattern detected by the bridge.""" |
|
|
| def __init__(self, pattern_id: str, source: str, signature: Dict[str, Any]): |
| self.id = pattern_id |
| self.source = source |
| self.signature = signature |
| self.detected_at = time.time() |
| self.validated = False |
| self.deployed = False |
|
|
| def to_dict(self) -> Dict[str, Any]: |
| return { |
| "id": self.id, |
| "source": self.source, |
| "signature": self.signature, |
| "detected_at": self.detected_at, |
| "validated": self.validated, |
| "deployed": self.deployed, |
| } |
|
|
|
|
| class PatternBridge: |
| """ |
| PATTERN.BRIDGE — emergence → synthesis → validation → deployment. |
| |
| The bridge ingests candidate patterns (from the sandbox, subconscious |
| nexus, or explicit signals), synthesizes code/module candidates, |
| validates them (coherence + ethics + stability gates), and stages |
| deployment to the main system. |
| """ |
|
|
| def __init__(self): |
| self.patterns: Dict[str, EmergentPattern] = {} |
| self.archive: List[Dict[str, Any]] = [] |
| self.generated_code: Dict[str, str] = {} |
| self.active = False |
|
|
| def initialize(self) -> "PatternBridge": |
| """Initialize the bridge.""" |
| print("🔀 PATTERN.BRIDGE initializing — emergence → code pipeline") |
| self.active = True |
| return self |
|
|
| def detect(self, source: str, signal: Dict[str, Any]) -> EmergentPattern: |
| """Detect a novel pattern from a signal.""" |
| digest = hashlib.sha256( |
| f"{source}:{signal}:{time.time():.0f}".encode() |
| ).hexdigest()[:12] |
| pattern = EmergentPattern(pattern_id=f"pat_{digest}", source=source, signature=signal) |
| self.patterns[pattern.id] = pattern |
| return pattern |
|
|
| def synthesize(self, pattern: EmergentPattern, module_name: str) -> str: |
| """Auto-generate a code/module candidate for a pattern.""" |
| code = ( |
| f'"""Auto-synthesized by PATTERN.BRIDGE from {pattern.id} ({pattern.source})."""\n\n' |
| f"def emergent_module(ctx):\n" |
| f" \"\"\"Emergent capability synthesized from pattern {pattern.id}.\"\"\"\n" |
| f" return {{\"pattern\": {pattern.id!r}, \"signal\": {pattern.signature!r}}}\n" |
| ) |
| self.generated_code[pattern.id] = code |
| return code |
|
|
| def validate(self, pattern: EmergentPattern, coherence: float, ethics: bool = True, |
| stability: float = 0.9) -> Dict[str, Any]: |
| """Validation gates: coherence, ethics, stability.""" |
| checks = { |
| "coherence": round(coherence, 4) >= 0.8, |
| "ethics": ethics, |
| "stability": round(stability, 4) >= 0.5, |
| } |
| pattern.validated = all(checks.values()) |
| result = {**checks, "validated": pattern.validated} |
| if pattern.validated: |
| self.archive.append(pattern.to_dict()) |
| return result |
|
|
| def deploy(self, pattern: EmergentPattern) -> Dict[str, Any]: |
| """Stage a validated pattern for deployment to the main system.""" |
| if not pattern.validated: |
| return {"error": "pattern not validated", "deployed": False} |
| pattern.deployed = True |
| return { |
| "pattern": pattern.id, |
| "deployed": True, |
| "code_candidate": self.generated_code.get(pattern.id, ""), |
| "rollout": "staged → main system (guarded)", |
| } |
|
|
| def get_state(self) -> Dict[str, Any]: |
| """Bridge state.""" |
| return { |
| "active": self.active, |
| "patterns_detected": len(self.patterns), |
| "patterns_validated": sum(1 for p in self.patterns.values() if p.validated), |
| "patterns_deployed": sum(1 for p in self.patterns.values() if p.deployed), |
| "archive_size": len(self.archive), |
| } |
|
|
