pec5d: add pec5d/pattern_bridge.py

pec5d/pattern_bridge.py

@@ -0,0 +1,122 @@
+# 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),
+        }