pec5d: add pec5d/agency.py

pec5d/agency.py

@@ -0,0 +1,128 @@
+# pec5d/agency.py
+"""
+Φ-ENTANGLEMENT AGENCY + ZENITH CHAMBER (boardroom automaton).
+
+Agency divisions: Coral · Resonance · Space · Grid · Impact
+Locations: Brisbane (HQ) · Tokyo · Amsterdam · Singapore · Cape Canaveral
+
+Zenith Chamber governance:
+  Board of Directors: 7 seats (3 science/tech, 2 ecology/bio, 1 social/ethics, 1 public)
+  Advisory Council: 12 members
+  Decision framework: Φ-consensus + resonance voting + IPT field analysis
+"""
+
+from __future__ import annotations
+
+import time
+from typing import Any, Dict, List, Optional
+
+import numpy as np
+
+from pec5d.constants import PHI
+
+
+class PhiEntanglementAgency:
+    """Φ-Entanglement Agency — organizational model."""
+
+    DIVISIONS = {
+        "coral": "Reef restoration, bio-materials, living architecture",
+        "resonance": "IPT, harmonic technology, bio-digital interfaces",
+        "space": "Coral spacecraft, orbital habitats, planetary monitoring",
+        "grid": "PEC5D platform, AI cores, sensor networks",
+        "impact": "Policy, community, education, global partnerships",
+    }
+    LOCATIONS = ["Brisbane (HQ)", "Tokyo", "Amsterdam", "Singapore", "Cape Canaveral"]
+
+    def __init__(self):
+        self.active = False
+
+    def initialize(self) -> "PhiEntanglementAgency":
+        print("🤝 Φ-ENTANGLEMENT AGENCY initializing")
+        self.active = True
+        return self
+
+    def get_state(self) -> Dict[str, Any]:
+        return {
+            "active": self.active,
+            "divisions": self.DIVISIONS,
+            "locations": self.LOCATIONS,
+            "mission": "Weaving technology, biology, consciousness, and ecosystem "
+                       "restoration into a coherent planetary renaissance",
+        }
+
+
+class ZenithChamber:
+    """ZENITH CHAMBER — boardroom automaton (proposals, voting, minutes)."""
+
+    BOARD_SEATS = {
+        "science_tech_1": "3 science/tech",
+        "science_tech_2": "3 science/tech",
+        "science_tech_3": "3 science/tech",
+        "ecology_1": "2 ecology/bio",
+        "ecology_2": "2 ecology/bio",
+        "social_ethics": "1 social/ethics",
+        "public": "1 public representative",
+    }
+    ADVISORY_SIZE = 12
+
+    def __init__(self):
+        self.proposals: List[Dict[str, Any]] = []
+        self.votes: List[Dict[str, Any]] = []
+        self.minutes: List[Dict[str, Any]] = []
+        self.active = False
+
+    def initialize(self) -> "ZenithChamber":
+        print("🏛 ZENITH CHAMBER initializing — Φ-consensus governance")
+        self.active = True
+        return self
+
+    def submit_proposal(self, title: str, body: str, proposer: str = "agency") -> Dict[str, Any]:
+        """Submit a proposal for the chamber."""
+        proposal = {
+            "id": f"prop_{len(self.proposals) + 1:03d}",
+            "title": title,
+            "body": body,
+            "proposer": proposer,
+            "status": "submitted",
+            "timestamp": time.time(),
+        }
+        self.proposals.append(proposal)
+        return proposal
+
+    def resonance_vote(self, proposal_id: str) -> Dict[str, Any]:
+        """Φ-consensus resonance vote (simulated)."""
+        proposal = next((p for p in self.proposals if p["id"] == proposal_id), None)
+        if proposal is None:
+            return {"error": f"unknown proposal '{proposal_id}'"}
+        rng = np.random.default_rng()
+        alignment = round(float(rng.random()), 4)
+        passed = alignment > 0.5
+        vote = {
+            "proposal": proposal_id,
+            "phi_alignment": alignment,
+            "passed": passed,
+            "decision": "Φ-consensus + resonance voting + IPT field analysis",
+        }
+        self.votes.append(vote)
+        if passed:
+            proposal["status"] = "passed"
+        return vote
+
+    def record_minutes(self, summary: str) -> Dict[str, Any]:
+        """Record board minutes."""
+        entry = {"summary": summary, "timestamp": time.time()}
+        self.minutes.append(entry)
+        return entry
+
+    def get_state(self) -> Dict[str, Any]:
+        return {
+            "active": self.active,
+            "board_seats": len(self.BOARD_SEATS),
+            "advisory_size": self.ADVISORY_SIZE,
+            "proposals": len(self.proposals),
+            "votes": len(self.votes),
+            "minutes": len(self.minutes),
+            "decision_framework": "Φ-consensus · resonance voting · IPT field analysis",
+            "values": ["non-harm first", "bio-aligned", "intergenerational responsibility",
+                       "open pattern sharing", "infinite horizon thinking"],
+        }