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8456954 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 | # pec5d/pattern_bridge.py
"""
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),
}
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