# 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),
        }