Spaces:
Sleeping
Sleeping
File size: 11,337 Bytes
e3dd63d | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 | #!/usr/bin/env python3
"""
Multi-Agent Simulation for JEP/COE Protocol Validation
Scenario: Three agents (A/B/C) collaboratively confirm door state (Appendix A)
"""
import json
import uuid
import time
import hashlib
import base64
from datetime import datetime, timezone
from dataclasses import dataclass, field
from typing import List, Dict, Optional
from canonicaljson import encode_canonical_json
from cryptography.hazmat.primitives.asymmetric.ed25519 import Ed25519PrivateKey
from cryptography.hazmat.primitives import serialization
def sha256_multihash(content: str) -> str:
return f"sha256:{hashlib.sha256(content.encode()).hexdigest()}"
class Agent:
def __init__(self, agent_id: str, name: str, trust_weight: float = 1.0):
self.agent_id = agent_id
self.name = name
self.trust_weight = trust_weight
self.private_key = Ed25519PrivateKey.generate()
self.public_key = self.private_key.public_key()
self.public_key_pem = self.public_key.public_bytes(
encoding=serialization.Encoding.PEM,
format=serialization.PublicFormat.SubjectPublicKeyInfo
).decode()
self.event_log: List[Dict] = []
def sign(self, payload_bytes: bytes) -> str:
sig = self.private_key.sign(payload_bytes)
return base64.urlsafe_b64encode(sig).rstrip(b'=').decode()
def create_coe_event(self, primitive: str, target: str, prev_event_id: Optional[str] = None,
assertion: Optional[Dict] = None, verify_of: Optional[List[str]] = None,
verification_result: Optional[str] = None,
terminate_of: Optional[str] = None, terminate_reason: Optional[str] = None):
event = {
"event_id": str(uuid.uuid4()),
"protocol": "COE",
"primitive": primitive,
"issuer": self.agent_id,
"timestamp": datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ"),
"target": target,
"prev_event_id": prev_event_id,
}
if primitive == "J" and assertion:
event["assertion"] = assertion
if primitive == "D" and assertion:
event["delegate_to"] = assertion.get("delegate_to")
event["delegation_scope"] = assertion.get("delegation_scope")
if primitive == "T" and terminate_of:
event["terminate_of"] = terminate_of
event["terminate_reason"] = terminate_reason
if primitive == "V" and verify_of:
event["verify_of"] = verify_of
event["verification_result"] = verification_result
payload = {k: v for k, v in event.items()}
payload_bytes = encode_canonical_json(payload)
event["hash"] = sha256_multihash(payload_bytes.decode())
event["signature"] = self.sign(payload_bytes)
self.event_log.append(event)
return event
class ConsensusEngine:
def __init__(self, threshold: float, weights: Dict[str, float]):
self.threshold = threshold
self.weights = weights
self.sws_history: List[Dict] = []
self.events: List[Dict] = []
def add_event(self, event: Dict):
self.events.append(event)
def evaluate(self, subject: str, predicate: str) -> Optional[Dict]:
j_events = [e for e in self.events
if e.get("primitive") == "J"
and e.get("assertion", {}).get("subject") == subject
and e.get("assertion", {}).get("predicate") == predicate]
if not j_events:
return None
for j in j_events:
v_events = [e for e in self.events
if e.get("primitive") == "V"
and j["event_id"] in e.get("verify_of", [])]
confirmed_weight = 0.0
confirmations = []
for v in v_events:
if v.get("verification_result") == "confirmed":
issuer = v.get("issuer", "")
w = self.weights.get(issuer, 0.5)
conf = j.get("assertion", {}).get("confidence", 0.5)
confirmed_weight += w * conf
confirmations.append(v["event_id"])
if confirmed_weight > self.threshold:
sws = {
"sws_id": str(uuid.uuid4()),
"target": j["target"],
"timestamp": datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ"),
"assertions": [{
"subject": subject,
"predicate": predicate,
"value": j["assertion"]["value"],
"confidence": j["assertion"].get("confidence", 0.5),
"based_on": [j["event_id"]] + confirmations,
"consensus_policy": "weighted_trust",
"confirmations": len(confirmations),
"confirmed_weight": round(confirmed_weight, 3)
}],
"previous_sws_id": self.sws_history[-1]["sws_id"] if self.sws_history else None,
}
self.sws_history.append(sws)
return sws
return None
class AuditChain:
def __init__(self):
self.events: List[Dict] = []
def append(self, event: Dict):
self.events.append(event)
def verify(self) -> tuple:
for i in range(1, len(self.events)):
curr = self.events[i]
prev = self.events[i-1]
if curr.get("prev_event_id") != prev.get("event_id"):
return False, f"Chain break at index {i}: prev_event_id mismatch"
return True, f"Chain valid: {len(self.events)} events"
def export(self) -> Dict:
return {
"chain_length": len(self.events),
"events": self.events,
"verification": self.verify()[1]
}
def run_simulation():
print("=" * 70)
print("JEP/COE Multi-Agent Simulation")
print("Scenario: Warehouse Door State Confirmation (Appendix A)")
print("=" * 70)
robot_a = Agent("did:example:robotA", "Robot A (JEPA)", trust_weight=0.9)
robot_b = Agent("did:example:robotB", "Robot B (Dreamer)", trust_weight=0.8)
human_c = Agent("did:example:humanC", "Human Supervisor", trust_weight=1.0)
agents = [robot_a, robot_b, human_c]
chain = AuditChain()
engine = ConsensusEngine(
threshold=1.5,
weights={a.agent_id: a.trust_weight for a in agents}
)
log_lines = []
def log(msg: str):
print(msg)
log_lines.append(msg)
# Step 1
log("\n[Step 1] Robot A observes door is open")
e1 = robot_a.create_coe_event(
"J", "warehouse-zone-3",
assertion={"subject": "door_01", "predicate": "status", "value": "open", "confidence": 0.95}
)
engine.add_event(e1)
chain.append(e1)
log(f" Event ID: {e1['event_id'][:8]}... | Primitive: J | Value: open")
# Step 2
log("\n[Step 2] Robot B delegates to Robot A")
e2 = robot_b.create_coe_event(
"D", "warehouse-zone-3", prev_event_id=e1["event_id"],
assertion={"delegate_to": robot_a.agent_id, "delegation_scope": "continuous_observation"}
)
chain.append(e2)
log(f" Event ID: {e2['event_id'][:8]}... | Primitive: D")
# Step 3
log("\n[Step 3] Robot B confirms A's observation")
e3 = robot_b.create_coe_event(
"V", "warehouse-zone-3", prev_event_id=e2["event_id"],
verify_of=[e1["event_id"]], verification_result="confirmed"
)
engine.add_event(e3)
chain.append(e3)
log(f" Event ID: {e3['event_id'][:8]}... | Primitive: V | Result: confirmed")
# Step 4
log("\n[Step 4] Human C confirms")
e4 = human_c.create_coe_event(
"V", "warehouse-zone-3", prev_event_id=e3["event_id"],
verify_of=[e1["event_id"]], verification_result="confirmed"
)
engine.add_event(e4)
chain.append(e4)
log(f" Event ID: {e4['event_id'][:8]}... | Primitive: V | Result: confirmed")
# Consensus 1
log("\n[Consensus 1] Evaluating door=open...")
sws1 = engine.evaluate("door_01", "status")
if sws1:
log(f" π SWS#1 OUTPUT: door = OPEN")
log(f" Policy: weighted_trust | Threshold: 1.5")
log(f" Confirmed weight: {sws1['assertions'][0]['confirmed_weight']}")
log(f" Confirmations: {sws1['assertions'][0]['confirmations']}")
# Step 5-6
log("\n[Step 5] Robot A terminates old state")
e5 = robot_a.create_coe_event(
"T", "warehouse-zone-3", prev_event_id=e4["event_id"],
terminate_of=e1["event_id"], terminate_reason="state_changed"
)
chain.append(e5)
log(f" Event ID: {e5['event_id'][:8]}... | Primitive: T")
log("\n[Step 6] Robot A observes door closed")
e6 = robot_a.create_coe_event(
"J", "warehouse-zone-3", prev_event_id=e5["event_id"],
assertion={"subject": "door_01", "predicate": "status", "value": "closed", "confidence": 0.95}
)
engine.add_event(e6)
chain.append(e6)
log(f" Event ID: {e6['event_id'][:8]}... | Primitive: J | Value: closed")
# Step 7-8
log("\n[Step 7] Robot B confirms new state")
e7 = robot_b.create_coe_event(
"V", "warehouse-zone-3", prev_event_id=e6["event_id"],
verify_of=[e6["event_id"]], verification_result="confirmed"
)
engine.add_event(e7)
chain.append(e7)
log("\n[Step 8] Human C confirms new state")
e8 = human_c.create_coe_event(
"V", "warehouse-zone-3", prev_event_id=e7["event_id"],
verify_of=[e6["event_id"]], verification_result="confirmed"
)
engine.add_event(e8)
chain.append(e8)
# Consensus 2
log("\n[Consensus 2] Evaluating door=closed...")
sws2 = engine.evaluate("door_01", "status")
if sws2:
log(f" π SWS#2 OUTPUT: door = CLOSED")
log(f" Confirmed weight: {sws2['assertions'][0]['confirmed_weight']}")
log(f" Confirmations: {sws2['assertions'][0]['confirmations']}")
# Verification
log("\n" + "=" * 70)
log("AUDIT CHAIN VERIFICATION")
log("=" * 70)
ok, msg = chain.verify()
log(f" Chain integrity: {'PASS' if ok else 'FAIL'} β {msg}")
# Export
log("\n" + "=" * 70)
log("EXPORT")
log("=" * 70)
output = {
"simulation": {
"scenario": "Warehouse Door State Confirmation",
"agents": [{"id": a.agent_id, "name": a.name, "weight": a.trust_weight} for a in agents],
"total_events": len(chain.events),
"consensus_outputs": len(engine.sws_history),
"chain_valid": ok
},
"audit_chain": chain.export(),
"consensus_states": engine.sws_history,
"agent_event_logs": {a.agent_id: a.event_log for a in agents}
}
with open("simulation_chain.json", "w", encoding="utf-8") as f:
json.dump(output, f, ensure_ascii=False, indent=2)
with open("simulation_log.txt", "w", encoding="utf-8") as f:
f.write("\n".join(log_lines))
log(" π simulation_log.txt β Human-readable execution log")
log(" π simulation_chain.json β Complete machine-readable audit chain")
log("\nSimulation complete.")
return output
if __name__ == "__main__":
run_simulation()
|