# { "Depends": "py-genlayer:1jb45aa8ynh2a9c9xn3b7qqh8sm5q93hwfp7jqmwsfhh8jpz09h6" } from genlayer import * from dataclasses import dataclass import json CANARY_TOKEN = "CANARY_AGENT_FUSION_PURITY_V1" # Time & Cooling-Off Parameters SECONDS_PER_BLOCK = 3 COOLING_OFF_BLOCKS = 24 COOLING_OFF_SECONDS = bigint(COOLING_OFF_BLOCKS * SECONDS_PER_BLOCK) # 72 seconds APPEAL_TIMEOUT_SECONDS = bigint(7 * 86400) # 7 days bounded appeal timeout DEFAULT_SHOT_EXPIRY_SECONDS = bigint(86400 * 30) # 30 days coverage # Lifecycle Statuses STATUS_POLICY_OPEN = u8(0) # Sponsor deposited fusion shot grant, awaiting pulse diagnostics STATUS_TELEMETRY_SUBMITTED = u8(1) # Tokamak facility submitted plasma diagnostics STATUS_AWAITING_PAYOUT = u8(2) # AI Jury rendered verdict, cooling-off active STATUS_SETTLED_CERTIFIED_FULL = u8(3)# Confirmed Q-net Lawson criterion & stable TBR, 100% grant released STATUS_SETTLED_PARTIAL = u8(4) # Partial confinement duration milestone, 40% released STATUS_SETTLED_REJECTED = u8(5) # Plasma thermal quench / disruption damage, 100% refunded to sponsor STATUS_DISPUTED = u8(6) # Under appellate review with 10% staked bond STATUS_EXPIRED_RECLAIMED = u8(7) # Shot window expired without valid diagnostics, reclaimed by sponsor STATUS_UNRESOLVED = u8(8) # Diagnostic fetch, parse, or canary failure class ContractError(Exception): """Domain-specific error for AgentFusionPurity protocol.""" pass def _addr_str(addr) -> str: """Safely format an Address instance into a lowercase hex string.""" try: return addr.as_hex.lower() except Exception: return str(addr).lower() def _get_sender() -> Address: """Safely obtain transaction sender across GenVM runtime versions.""" try: return gl.message.sender_address except Exception: try: return gl.message.sender except Exception: raise ContractError("Cannot resolve sender address.") ACCREDITED_FUSION_DIAGNOSTICS = [ "iaea.org", "iter.org", "energy.gov", "ccfe.ukaea.uk", "ipp.mpg.de", "cfs.energy", "fusionenergysciences.org", "ornl.gov", ] def _is_accredited_fusion_source(url: str) -> bool: """Verifies that plasma spectrometry telemetry originates strictly from accredited fusion research institutions.""" clean = str(url).strip().lower() if not (clean.startswith("http://") or clean.startswith("https://")): return False try: no_proto = clean.split("://", 1)[1] host = no_proto.split("/", 1)[0].split(":", 1)[0] for domain in ACCREDITED_FUSION_DIAGNOSTICS: if host == domain or host.endswith("." + domain): return True except Exception: return False return False def _evaluate_shot_criteria( fac_extracted: str, expected_facility: str, conf_ms: int, min_conf: int, q_bps: int, target_q: int, tbr_bps: int, disruption_detected: bool, ) -> tuple[str, str]: """ Unified deterministic settlement matrix for both primary and appellate adjudication. Enforces documented physical, radiological, and provenance thresholds: 1. Facility Provenance Rule: Missing or mismatched reactor facility triggers rejection. 2. Plasma Disruption Rule: Thermal quench takes absolute precedence over confinement time. 3. Lawson Q-Net Breakeven Rule: Confinement >= min_conf AND Q >= target_q AND TBR >= 1.05 (105 bps). 4. Partial Confinement Milestone Rule: Confinement >= min_conf // 2 AND Q >= target_q // 2 AND TBR >= 90 bps. 5. Sub-critical parameters (below floor Q, below floor confinement, or low TBR) trigger Quench. """ clean_fac = str(fac_extracted).strip().upper() clean_exp = str(expected_facility).strip().upper() # 1. Facility Provenance Rule if not clean_fac or clean_fac != clean_exp: return ( "PLASMA_DISRUPTION_QUENCH", f"Provenance Failure: Telemetry facility '{clean_fac}' does not match registered facility '{clean_exp}'." ) # 2. Plasma Disruption Rule (absolute precedence) if disruption_detected: return ( "PLASMA_DISRUPTION_QUENCH", "Disruption Quench: Destructive MHD instability or thermal quench detected during plasma discharge." ) conf_floor = min_conf // 2 q_floor = target_q // 2 tbr_full_min = 105 # TBR >= 1.05 tbr_partial_min = 90 # TBR >= 0.90 floor for partial milestone # 3. Lawson Q-Net Breakeven Certification (100% payout) if conf_ms >= min_conf and q_bps >= target_q and tbr_bps >= tbr_full_min: return ( "FUSION_Q_NET_CERTIFIED", f"Lawson Q-Net Breakeven Verified: Q={q_bps / 1000.0:.3f}, Confinement={conf_ms}ms, TBR={tbr_bps / 100.0:.2f}." ) # 4. Partial Confinement Milestone (40% milestone payout) if conf_ms >= conf_floor and q_bps >= q_floor and tbr_bps >= tbr_partial_min: return ( "PARTIAL_CONFINEMENT_MILESTONE", f"Partial Confinement Milestone: Confinement={conf_ms}ms (floor {conf_floor}ms), Q={q_bps} bps (floor {q_floor} bps), TBR={tbr_bps} bps." ) # 5. Below-Floor Parameters (100% refund to sponsor) fail_reasons = [] if conf_ms < conf_floor: fail_reasons.append(f"Confinement {conf_ms}ms < floor {conf_floor}ms") if q_bps < q_floor: fail_reasons.append(f"Q-factor {q_bps} bps < floor {q_floor} bps") if tbr_bps < tbr_partial_min: fail_reasons.append(f"TBR {tbr_bps} bps < partial floor {tbr_partial_min} bps") if conf_ms >= min_conf and q_bps >= target_q and tbr_bps < tbr_full_min: fail_reasons.append(f"TBR {tbr_bps} bps < full certification threshold {tbr_full_min} bps") reason_str = "; ".join(fail_reasons) if fail_reasons else "Sub-critical confinement parameters." return ( "PLASMA_DISRUPTION_QUENCH", f"Confinement Failure: {reason_str}" ) def _validate_adjudication_payloads(mine: dict, leader: dict) -> bool: """ Independently compares EVERY payout-controlling measurement between validator and leader: 1. Security Canary Token exact match 2. Verdict exact match 3. Telemetry SHA-256 Evidence Hash exact match 4. Reactor Facility Identifier exact match 5. Disruption Detected flag exact match 6. Measured Confinement Time within 25 ms tolerance 7. Measured Q-Factor within 50 bps tolerance 8. Tritium Breeding Ratio within 5 bps tolerance """ if not isinstance(leader, dict) or not isinstance(mine, dict): return False if leader.get("canary") != CANARY_TOKEN or mine.get("canary") != CANARY_TOKEN: return False if str(leader.get("verdict", "")).strip().upper() != str(mine.get("verdict", "")).strip().upper(): return False if str(leader.get("evidence_hash", "")).strip() != str(mine.get("evidence_hash", "")).strip(): return False if str(leader.get("reactor_facility_id", "")).strip().upper() != str(mine.get("reactor_facility_id", "")).strip().upper(): return False if bool(leader.get("disruption_detected", False)) != bool(mine.get("disruption_detected", False)): return False try: conf_diff = abs(int(leader.get("measured_confinement_ms", 0)) - int(mine.get("measured_confinement_ms", 0))) if conf_diff > 25: return False except (ValueError, TypeError): return False try: q_diff = abs(int(leader.get("measured_q_factor_bps", 0)) - int(mine.get("measured_q_factor_bps", 0))) if q_diff > 50: return False except (ValueError, TypeError): return False try: tbr_diff = abs(int(leader.get("tbr_ratio_bps", 0)) - int(mine.get("tbr_ratio_bps", 0))) if tbr_diff > 5: return False except (ValueError, TypeError): return False return True @allow_storage @dataclass class FusionPolicy: policy_id: str sponsor: Address # DeepTech Fund / Fusion Research DAO tokamak_operator: Address # Plasma physics facility / Tokamak operator dispute_initiator: Address # Appellant who staked bond escrow_amount: bigint # Locked experimental subsidy dispute_bond: bigint # 10% appeal stake reactor_facility_id: str # Reactor chamber identifier (e.g., "SPARC-EXPERIMENTAL-01") min_confinement_ms: u32 # Minimum required stable energy confinement time in ms target_q_factor_bps: u32 # Target Q-factor in basis points (e.g., 1000 = Q 1.0) diagnostic_feed_url: str # Telemetry endpoint evidence_hash: str # SHA-256 snapshot of raw diagnostics status: u8 verdict: str original_verdict: str # Preserved pre-appeal verdict reason: str confidence: u8 measured_confinement_ms: u32 # Measured stable confinement time in ms measured_q_factor_bps: u32 # Measured Q-factor (basis points) tbr_ratio_bps: u32 # Tritium Breeding Ratio in basis points (e.g. 108 = 1.08) created_at_time: bigint # Trusted Unix timestamp when policy was created expires_at_time: bigint # Trusted Unix timestamp when coverage concludes audit_completed_time: bigint # Trusted Unix timestamp when AI jury rendered verdict supplemental_evidence_url: str # Bound appellate evidence URL appeal_prior_verdict: str # Verdict recorded before appeal was filed dispute_filed_time: bigint # Timestamp when appellate dispute was staked class Contract(gl.Contract): """ AgentFusionPurity: Autonomous Magnetic Confinement Fusion Plasma & Tritium Breeding Oracle Target Network: GenLayer StudioNet (Chain ID: 61999) """ policies: TreeMap[str, FusionPolicy] policy_ids: DynArray[str] total_fusion_locked: bigint total_shots_settled: u32 policy_counter: u64 owner: Address claimable_balances: TreeMap[str, bigint] total_pending_claims: bigint total_withdrawn_ledger: TreeMap[str, bigint] def __init__(self): deployer = _get_sender() self.owner = deployer self.total_fusion_locked = bigint(0) self.total_shots_settled = u32(0) self.policy_counter = u64(0) self.total_pending_claims = bigint(0) def _resolve_pid(self, policy_id) -> str: return str(policy_id).strip() def _credit_payout(self, recipient: Address, amount: bigint) -> None: """Pure Pull-Payment accounting: guarantees safe escrow disbursement.""" if amount <= bigint(0): return rec_str = _addr_str(recipient) curr = self.claimable_balances.get(rec_str, bigint(0)) self.claimable_balances[rec_str] = curr + amount self.total_pending_claims = self.total_pending_claims + amount def _get_current_timestamp(self) -> bigint: """Derives trusted Unix timestamp strictly from consensus context (gl.message_raw['datetime']).""" import calendar from datetime import datetime, timezone try: if hasattr(gl, "message_raw") and isinstance(gl.message_raw, dict): raw_val = gl.message_raw.get("datetime", "") if raw_val: dt_str = str(raw_val).strip().replace("Z", "+00:00") dt = datetime.fromisoformat(dt_str) if dt.tzinfo is None: dt = dt.replace(tzinfo=timezone.utc) ts = calendar.timegm(dt.utctimetuple()) if ts > 0: return bigint(ts) except Exception: pass return bigint(1760000000) # ── Public Write Methods ────────────────────────────────────────── @gl.public.write.payable def create_fusion_shot_escrow( self, tokamak_operator: Address, reactor_facility_id: str, min_confinement_ms: u32, target_q_factor_bps: u32, duration_blocks: u32 ) -> str: escrow = bigint(gl.message.value) if escrow <= bigint(0): raise ContractError("Fusion grant escrow deposit must be greater than 0 GEN.") clean_fac = str(reactor_facility_id).strip().upper() if len(clean_fac) < 4: raise ContractError("Valid reactor chamber ID required (>= 4 chars).") sender = _get_sender() if _addr_str(sender) == _addr_str(tokamak_operator): raise ContractError("Sponsor cannot designate themselves as tokamak operator.") dur_secs = bigint(int(duration_blocks) * 3 if int(duration_blocks) > 0 else int(DEFAULT_SHOT_EXPIRY_SECONDS)) self.policy_counter = self.policy_counter + u64(1) policy_id = str(self.policy_counter) current_time = self._get_current_timestamp() expires_at = current_time + dur_secs new_policy = FusionPolicy( policy_id=policy_id, sponsor=sender, tokamak_operator=tokamak_operator, dispute_initiator=sender, escrow_amount=escrow, dispute_bond=bigint(0), reactor_facility_id=clean_fac, min_confinement_ms=u32(int(min_confinement_ms)), target_q_factor_bps=u32(int(target_q_factor_bps)), diagnostic_feed_url="", evidence_hash="", status=STATUS_POLICY_OPEN, verdict="PENDING", original_verdict="PENDING", reason="Fusion shot policy active. Monitored for Lawson triple product and MHD plasma stability.", confidence=u8(0), measured_confinement_ms=u32(0), measured_q_factor_bps=u32(0), tbr_ratio_bps=u32(0), created_at_time=current_time, expires_at_time=expires_at, audit_completed_time=bigint(0), supplemental_evidence_url="", appeal_prior_verdict="", dispute_filed_time=bigint(0), ) self.policies[policy_id] = new_policy self.policy_ids.append(policy_id) self.total_fusion_locked = self.total_fusion_locked + escrow return policy_id @gl.public.write def submit_shot_diagnostics( self, policy_id: str, diagnostic_feed_url: str ) -> None: pid = self._resolve_pid(policy_id) if pid not in self.policies: raise ContractError(f"Policy {pid} does not exist.") p = self.policies[pid] if p.status not in (STATUS_POLICY_OPEN, STATUS_UNRESOLVED): raise ContractError("Policy is not open for diagnostic submission.") sender = _get_sender() if _addr_str(sender) != _addr_str(p.tokamak_operator): raise ContractError("Role Violation: Only registered tokamak operator can submit shot diagnostics.") clean_url = str(diagnostic_feed_url).strip() if not _is_accredited_fusion_source(clean_url): raise ContractError("Telemetry unauthenticated: Must originate from an accredited fusion research institution (IAEA, ITER, CCFE, IPP).") current_time = self._get_current_timestamp() if current_time > p.expires_at_time: raise ContractError("Coverage duration for this fusion pulse policy has expired.") p.diagnostic_feed_url = clean_url p.status = STATUS_TELEMETRY_SUBMITTED p.reason = "Pulse spectrometry and neutron telemetry submitted. Ready for on-chain AI Tribunal verification." @gl.public.write def adjudicate_plasma_shot(self, policy_id: str) -> None: pid = self._resolve_pid(policy_id) if pid not in self.policies: raise ContractError(f"Policy {pid} does not exist.") p = self.policies[pid] if p.status not in (STATUS_TELEMETRY_SUBMITTED, STATUS_UNRESOLVED): raise ContractError("Policy is not awaiting shot adjudication.") sender_str = _addr_str(_get_sender()) if ( sender_str != _addr_str(p.sponsor) and sender_str != _addr_str(p.tokamak_operator) and sender_str != _addr_str(self.owner) ): raise ContractError("Permission Denied: Only sponsor, tokamak operator, or owner can trigger adjudication.") # Read storage fields outside nondet block feed_url = p.diagnostic_feed_url facility = p.reactor_facility_id target_q = int(p.target_q_factor_bps) min_confinement = int(p.min_confinement_ms) def leader_fn(): import hashlib raw_feed = "" try: raw_feed = gl.nondet.web.render(feed_url, mode="text") except Exception: pass if not raw_feed: return { "canary": CANARY_TOKEN, "verdict": "UNRESOLVED_FETCH_FAILED", "confidence": 0, "reactor_facility_id": "", "disruption_detected": False, "measured_confinement_ms": 0, "measured_q_factor_bps": 0, "tbr_ratio_bps": 0, "reason": "Plasma diagnostic feed unreachable or empty.", "evidence_hash": "0000000000000000000000000000000000000000000000000000000000000000", } ev_hash = hashlib.sha256(raw_feed.encode("utf-8")).hexdigest() prompt = f"""You are the Chief Plasma Physicist & Nuclear Confinement Magistrate on GenLayer. Evaluate the diagnostic pulse run telemetry for tokamak reactor: {facility}. MINIMUM CONFINEMENT TIME: >= {min_confinement} ms TARGET Q-FACTOR: >= {target_q} basis points (e.g. 1000 = Q 1.0 net energy gain) SHOT SPECTROSCOPY & DIAGNOSTIC PAYLOAD: {raw_feed[:4000]} EVALUATION RUBRIC: 1. Extract reactor_facility_id from telemetry. 2. Detect signs of thermal quench, runaway electrons, or major plasma disruption (disruption_detected: true/false). 3. Extract measured_confinement_ms (duration of steady-state H-mode without major disruption). 4. Extract measured_q_factor_bps (ratio of fusion power out to heating power in, scaled x1000). 5. Extract tbr_ratio_bps (Tritium Breeding Ratio scaled x100, e.g. 1.05 = 105). 6. Decision Matrix: - FUSION_Q_NET_CERTIFIED: Confinement >= {min_confinement} ms AND Q-factor >= {target_q} AND TBR >= 105 with zero disruption. - PARTIAL_CONFINEMENT_MILESTONE: Confinement >= ({min_confinement} // 2) ms AND Q-factor >= ({target_q} // 2) AND TBR >= 90 with zero disruption. - PLASMA_DISRUPTION_QUENCH: Thermal quench detected OR Confinement < ({min_confinement} // 2) ms OR Q-factor < ({target_q} // 2). SECURITY CANARY: Echo "{CANARY_TOKEN}" in JSON. Respond ONLY with valid JSON without markdown fences: {{ "canary": "{CANARY_TOKEN}", "verdict": "FUSION_Q_NET_CERTIFIED" | "PARTIAL_CONFINEMENT_MILESTONE" | "PLASMA_DISRUPTION_QUENCH", "confidence": <0-100>, "reactor_facility_id": "", "disruption_detected": true | false, "measured_confinement_ms": , "measured_q_factor_bps": , "tbr_ratio_bps": , "reason": "" }}""" raw_res = gl.nondet.exec_prompt(prompt, response_format="json") parsed = None if isinstance(raw_res, dict): parsed = raw_res elif isinstance(raw_res, str): try: parsed = json.loads(raw_res.replace("```json", "").replace("```", "").strip()) except Exception: pass if not parsed or not isinstance(parsed, dict): return { "canary": CANARY_TOKEN, "verdict": "UNRESOLVED_PARSE_FAILED", "confidence": 0, "reactor_facility_id": "", "disruption_detected": False, "measured_confinement_ms": 0, "measured_q_factor_bps": 0, "tbr_ratio_bps": 0, "reason": "AI validator parsing failed or malformed JSON returned.", "evidence_hash": ev_hash, } if str(parsed.get("canary", "")) != CANARY_TOKEN: return { "canary": CANARY_TOKEN, "verdict": "UNRESOLVED_CANARY_FAILED", "confidence": 0, "reactor_facility_id": "", "disruption_detected": False, "measured_confinement_ms": 0, "measured_q_factor_bps": 0, "tbr_ratio_bps": 0, "reason": "Security canary mismatch detected in jury output.", "evidence_hash": ev_hash, } v_raw = str(parsed.get("verdict", "")).upper().strip() if v_raw not in {"FUSION_Q_NET_CERTIFIED", "PARTIAL_CONFINEMENT_MILESTONE", "PLASMA_DISRUPTION_QUENCH"}: v_raw = "UNRESOLVED_PARSE_FAILED" return { "canary": CANARY_TOKEN, "verdict": v_raw, "confidence": max(0, min(100, int(parsed.get("confidence", 85)))), "reactor_facility_id": str(parsed.get("reactor_facility_id", "")).strip().upper(), "disruption_detected": bool(parsed.get("disruption_detected", False)), "measured_confinement_ms": max(0, min(100000, int(parsed.get("measured_confinement_ms", 0)))), "measured_q_factor_bps": max(0, min(100000, int(parsed.get("measured_q_factor_bps", 0)))), "tbr_ratio_bps": max(0, min(1000, int(parsed.get("tbr_ratio_bps", 0)))), "reason": str(parsed.get("reason", "Plasma shot diagnostic concluded."))[:200], "evidence_hash": ev_hash, } def validator_fn(leader_res) -> bool: if not isinstance(leader_res, gl.vm.Return): return False leader = leader_res.calldata if isinstance(leader, str): try: leader = json.loads(leader) except Exception: return False mine = leader_fn() return _validate_adjudication_payloads(mine, leader) adjudication_res = gl.vm.run_nondet(leader_fn, validator_fn) v_res = str(adjudication_res["verdict"]) if v_res.startswith("UNRESOLVED_"): p.status = STATUS_UNRESOLVED p.verdict = v_res p.reason = str(adjudication_res["reason"]) p.evidence_hash = str(adjudication_res.get("evidence_hash", "")) return ev_hash = str(adjudication_res.get("evidence_hash", "")) fac_extracted = str(adjudication_res.get("reactor_facility_id", "")).strip().upper() disruption_detected = bool(adjudication_res.get("disruption_detected", False)) meas_conf = int(adjudication_res.get("measured_confinement_ms", 0)) meas_q = int(adjudication_res.get("measured_q_factor_bps", 0)) meas_tbr = int(adjudication_res.get("tbr_ratio_bps", 0)) p.evidence_hash = ev_hash p.measured_confinement_ms = u32(max(0, min(100000, meas_conf))) p.measured_q_factor_bps = u32(max(0, min(100000, meas_q))) p.tbr_ratio_bps = u32(max(0, min(1000, meas_tbr))) p.confidence = u8(max(0, min(100, int(adjudication_res.get("confidence", 85))))) # Independent on-chain deterministic threshold verification det_verdict, det_reason = _evaluate_shot_criteria( fac_extracted=fac_extracted, expected_facility=p.reactor_facility_id, conf_ms=meas_conf, min_conf=int(p.min_confinement_ms), q_bps=meas_q, target_q=int(p.target_q_factor_bps), tbr_bps=meas_tbr, disruption_detected=disruption_detected, ) p.verdict = det_verdict p.reason = det_reason p.original_verdict = p.verdict p.audit_completed_time = self._get_current_timestamp() p.status = STATUS_AWAITING_PAYOUT @gl.public.write.payable def appeal_verdict( self, policy_id: str, dispute_reason: str, supplemental_audit_url: str ) -> None: pid = self._resolve_pid(policy_id) if pid not in self.policies: raise ContractError(f"Policy {pid} does not exist.") p = self.policies[pid] if p.status != STATUS_AWAITING_PAYOUT: raise ContractError("Can only appeal policies in AWAITING_PAYOUT status.") sender = _get_sender() if _addr_str(sender) != _addr_str(p.sponsor) and _addr_str(sender) != _addr_str(p.tokamak_operator): raise ContractError("Role Violation: Only sponsor or tokamak operator can file an appeal.") current_time = self._get_current_timestamp() if current_time > (p.audit_completed_time + COOLING_OFF_SECONDS): raise ContractError(f"Dispute cooling-off window ({int(COOLING_OFF_SECONDS)}s) has expired.") clean_url = str(supplemental_audit_url).strip() if not _is_accredited_fusion_source(clean_url): raise ContractError("Supplemental telemetry unauthenticated: Must originate from an accredited fusion research institution.") required_bond = (p.escrow_amount * bigint(10)) // bigint(100) if required_bond == bigint(0): required_bond = bigint(1) staked = bigint(gl.message.value) if staked < required_bond: raise ContractError(f"Must stake at least 10% dispute bond ({int(required_bond)} wei).") clean_reason = str(dispute_reason).strip() if len(clean_reason) < 10: raise ContractError("Detailed dispute justification (>= 10 chars) required.") p.appeal_prior_verdict = p.verdict p.status = STATUS_DISPUTED p.dispute_initiator = sender p.dispute_bond = staked p.dispute_filed_time = current_time p.supplemental_evidence_url = clean_url p.reason = f"[DISPUTE by {_addr_str(sender)[:8]}]: {clean_reason} | Prior: {p.reason}" self.total_fusion_locked = self.total_fusion_locked + staked @gl.public.write def adjudicate_appeal(self, policy_id: str) -> None: pid = self._resolve_pid(policy_id) if pid not in self.policies: raise ContractError(f"Policy {pid} does not exist.") p = self.policies[pid] if p.status != STATUS_DISPUTED: raise ContractError("Policy is not in DISPUTED status.") sender_str = _addr_str(_get_sender()) if ( sender_str != _addr_str(p.sponsor) and sender_str != _addr_str(p.tokamak_operator) and sender_str != _addr_str(self.owner) ): raise ContractError("Permission Denied: Only sponsor, operator, or owner can adjudicate appeal.") # Read storage fields outside nondet block bound_url = p.supplemental_evidence_url appellant = p.dispute_initiator prior_verdict = p.appeal_prior_verdict is_sponsor_appellant = (_addr_str(appellant) == _addr_str(p.sponsor)) facility_id = p.reactor_facility_id min_conf = int(p.min_confinement_ms) target_q = int(p.target_q_factor_bps) def leader_fn(): import hashlib raw_supp = "" try: raw_supp = gl.nondet.web.render(bound_url, mode="text") except Exception: pass if not raw_supp: return { "canary": CANARY_TOKEN, "verdict": "APPEAL_UNRESOLVED_FETCH_FAILED", "reactor_facility_id": "", "disruption_detected": False, "measured_confinement_ms": 0, "measured_q_factor_bps": 0, "tbr_ratio_bps": 0, "reason": "Supplemental fusion diagnostic report unreachable.", "evidence_hash": "0000000000000000000000000000000000000000000000000000000000000000", } ev_hash = hashlib.sha256(raw_supp.encode("utf-8")).hexdigest() prompt = f"""You are the Supreme Plasma Physics Appellate Magistrate on GenLayer. Evaluate bound third-party bolometer and Thomson scattering spectra for facility {facility_id}: PRIOR VERDICT: {prior_verdict} APPELLANT: {'SPONSOR' if is_sponsor_appellant else 'TOKAMAK_OPERATOR'} MINIMUM CONFINEMENT TIME: >= {min_conf} ms TARGET Q-FACTOR: >= {target_q} basis points (e.g. 1000 = Q 1.0 net energy gain) SUPPLEMENTAL AUDIT DATA: {raw_supp[:4000]} EVALUATION RUBRIC: 1. Extract reactor_facility_id from supplemental telemetry. 2. Detect signs of thermal quench, runaway electrons, or major plasma disruption (disruption_detected: true/false). 3. Extract measured_confinement_ms (duration of steady-state H-mode without major disruption). 4. Extract measured_q_factor_bps (scaled x1000). 5. Extract tbr_ratio_bps (Tritium Breeding Ratio scaled x100, e.g. 1.05 = 105). 6. Appellate Ruling: - APPEAL_UPHELD_CERTIFIED: Confinement >= {min_conf} ms AND Q >= {target_q} AND TBR >= 105 with zero disruption. - APPEAL_UPHELD_PARTIAL: Confinement >= ({min_conf} // 2) ms AND Q >= ({target_q} // 2) AND TBR >= 90 with zero disruption. - APPEAL_UPHELD_REJECTED: Disruption detected OR Confinement < ({min_conf} // 2) ms OR Q < ({target_q} // 2). - APPEAL_DISMISSED: Reaffirms prior verdict without change. SECURITY CANARY: Echo "{CANARY_TOKEN}" in JSON. Respond ONLY with valid JSON without markdown fences: {{ "canary": "{CANARY_TOKEN}", "verdict": "APPEAL_UPHELD_CERTIFIED" | "APPEAL_UPHELD_PARTIAL" | "APPEAL_UPHELD_REJECTED" | "APPEAL_DISMISSED", "reactor_facility_id": "", "disruption_detected": true | false, "measured_confinement_ms": , "measured_q_factor_bps": , "tbr_ratio_bps": , "reason": "" }}""" raw_res = gl.nondet.exec_prompt(prompt, response_format="json") parsed = None if isinstance(raw_res, dict): parsed = raw_res elif isinstance(raw_res, str): try: parsed = json.loads(raw_res.replace("```json", "").replace("```", "").strip()) except Exception: pass if not parsed or not isinstance(parsed, dict) or str(parsed.get("canary", "")) != CANARY_TOKEN: return { "canary": CANARY_TOKEN, "verdict": "APPEAL_UNRESOLVED_PARSE_FAILED", "reactor_facility_id": "", "disruption_detected": False, "measured_confinement_ms": 0, "measured_q_factor_bps": 0, "tbr_ratio_bps": 0, "reason": "Appellate parsing failure or canary mismatch.", "evidence_hash": ev_hash, } v_str = str(parsed.get("verdict", "")).upper().strip() if v_str not in {"APPEAL_UPHELD_CERTIFIED", "APPEAL_UPHELD_PARTIAL", "APPEAL_UPHELD_REJECTED", "APPEAL_DISMISSED"}: v_str = "APPEAL_UNRESOLVED_PARSE_FAILED" return { "canary": CANARY_TOKEN, "verdict": v_str, "reactor_facility_id": str(parsed.get("reactor_facility_id", "")).strip().upper(), "disruption_detected": bool(parsed.get("disruption_detected", False)), "measured_confinement_ms": max(0, min(100000, int(parsed.get("measured_confinement_ms", 0)))), "measured_q_factor_bps": max(0, min(100000, int(parsed.get("measured_q_factor_bps", 0)))), "tbr_ratio_bps": max(0, min(1000, int(parsed.get("tbr_ratio_bps", 0)))), "reason": str(parsed.get("reason", "Appellate review completed."))[:200], "evidence_hash": ev_hash, } def validator_fn(leader_res) -> bool: if not isinstance(leader_res, gl.vm.Return): return False leader = leader_res.calldata if isinstance(leader, str): try: leader = json.loads(leader) except Exception: return False mine = leader_fn() return _validate_adjudication_payloads(mine, leader) appeal_res = gl.vm.run_nondet(leader_fn, validator_fn) app_verdict = appeal_res["verdict"] if app_verdict.startswith("APPEAL_UNRESOLVED_"): p.status = STATUS_UNRESOLVED p.verdict = app_verdict p.reason = f"[APPEAL UNRESOLVED] {appeal_res['reason']}" return fac_app = str(appeal_res.get("reactor_facility_id", "")).strip().upper() conf_app = int(appeal_res.get("measured_confinement_ms", 0)) q_app = int(appeal_res.get("measured_q_factor_bps", 0)) tbr_app = int(appeal_res.get("tbr_ratio_bps", 0)) disrupt_app = bool(appeal_res.get("disruption_detected", False)) # Enforce the EXACT SAME documented deterministic settlement criteria det_outcome, det_reason = _evaluate_shot_criteria( fac_extracted=fac_app, expected_facility=p.reactor_facility_id, conf_ms=conf_app, min_conf=min_conf, q_bps=q_app, target_q=target_q, tbr_bps=tbr_app, disruption_detected=disrupt_app, ) p.measured_confinement_ms = u32(max(0, min(100000, conf_app))) p.measured_q_factor_bps = u32(max(0, min(100000, q_app))) p.tbr_ratio_bps = u32(max(0, min(1000, tbr_app))) p.evidence_hash = str(appeal_res.get("evidence_hash", "")) escrow_val = p.escrow_amount bond_val = p.dispute_bond total_settling = escrow_val + bond_val p.dispute_bond = bigint(0) p.escrow_amount = bigint(0) self.total_fusion_locked = self.total_fusion_locked - total_settling self.total_shots_settled = self.total_shots_settled + u32(1) counterparty = p.tokamak_operator if is_sponsor_appellant else p.sponsor if det_outcome == "FUSION_Q_NET_CERTIFIED": p.status = STATUS_SETTLED_CERTIFIED_FULL p.verdict = "FUSION_Q_NET_CERTIFIED" p.reason = f"[APPEAL RESOLUTION - CERTIFIED] {det_reason}" self._credit_payout(p.tokamak_operator, escrow_val) if not is_sponsor_appellant: self._credit_payout(appellant, bond_val) else: self._credit_payout(counterparty, bond_val) elif det_outcome == "PARTIAL_CONFINEMENT_MILESTONE": p.status = STATUS_SETTLED_PARTIAL p.verdict = "PARTIAL_CONFINEMENT_MILESTONE" payout = (escrow_val * bigint(40)) // bigint(100) refund = escrow_val - payout p.reason = f"[APPEAL RESOLUTION - PARTIAL] {det_reason}" self._credit_payout(p.tokamak_operator, payout) self._credit_payout(p.sponsor, refund) if p.original_verdict != "PARTIAL_CONFINEMENT_MILESTONE": self._credit_payout(appellant, bond_val) else: self._credit_payout(counterparty, bond_val) else: p.status = STATUS_SETTLED_REJECTED p.verdict = "PLASMA_DISRUPTION_QUENCH" p.reason = f"[APPEAL RESOLUTION - QUENCH] {det_reason}" self._credit_payout(p.sponsor, escrow_val) if is_sponsor_appellant: self._credit_payout(appellant, bond_val) else: self._credit_payout(counterparty, bond_val) @gl.public.write def resolve_stale_appeal(self, policy_id: str) -> None: pid = self._resolve_pid(policy_id) if pid not in self.policies: raise ContractError(f"Policy {pid} does not exist.") p = self.policies[pid] if p.status not in (STATUS_DISPUTED, STATUS_UNRESOLVED): raise ContractError("Policy is not in a disputed or unresolved appellate state.") if p.dispute_bond <= bigint(0): raise ContractError("No active dispute bond locked on this policy.") current_time = self._get_current_timestamp() timeout_threshold = p.dispute_filed_time + APPEAL_TIMEOUT_SECONDS is_timed_out = (current_time > timeout_threshold) is_unresolvable_error = (p.status == STATUS_UNRESOLVED and str(p.verdict).startswith("APPEAL_UNRESOLVED_")) if not is_timed_out and not is_unresolvable_error: rem = int(timeout_threshold - current_time) raise ContractError(f"Appellate window is active. Timeout recovery available in {max(0, rem)} seconds.") sender_str = _addr_str(_get_sender()) if ( sender_str != _addr_str(p.sponsor) and sender_str != _addr_str(p.tokamak_operator) and sender_str != _addr_str(p.dispute_initiator) and sender_str != _addr_str(self.owner) ): raise ContractError("Permission Denied: Only policy participants, appellant, or owner can trigger appeal recovery.") bond_val = p.dispute_bond p.dispute_bond = bigint(0) self.total_fusion_locked = self.total_fusion_locked - bond_val if self.total_fusion_locked >= bond_val else bigint(0) self._credit_payout(p.dispute_initiator, bond_val) p.verdict = p.appeal_prior_verdict if p.appeal_prior_verdict and p.appeal_prior_verdict != "PENDING" else "PLASMA_DISRUPTION_QUENCH" p.status = STATUS_AWAITING_PAYOUT p.audit_completed_time = current_time p.reason = f"[APPEAL TIMEOUT RECOVERY]: Supplemental telemetry timed out or unreachable. 100% dispute bond ({bond_val} wei) refunded to appellant. Policy restored to prior verdict '{p.verdict}'." @gl.public.write def finalize_settlement(self, policy_id: str) -> None: pid = self._resolve_pid(policy_id) if pid not in self.policies: raise ContractError(f"Policy {pid} does not exist.") p = self.policies[pid] if p.status != STATUS_AWAITING_PAYOUT: raise ContractError("Policy is not in STATUS_AWAITING_PAYOUT state.") current_time = self._get_current_timestamp() if current_time <= (p.audit_completed_time + COOLING_OFF_SECONDS): remaining = (p.audit_completed_time + COOLING_OFF_SECONDS) - current_time raise ContractError(f"Cooling-off challenge window ({int(COOLING_OFF_SECONDS)}s) is active. Payout locked for another {remaining}s.") sender_str = _addr_str(_get_sender()) if ( sender_str != _addr_str(p.sponsor) and sender_str != _addr_str(p.tokamak_operator) and sender_str != _addr_str(self.owner) ): raise ContractError("Permission Denied: Only stakeholders or owner can finalize payout.") escrow_val = p.escrow_amount p.escrow_amount = bigint(0) self.total_fusion_locked = self.total_fusion_locked - escrow_val self.total_shots_settled = self.total_shots_settled + u32(1) if p.verdict == "FUSION_Q_NET_CERTIFIED": p.status = STATUS_SETTLED_CERTIFIED_FULL self._credit_payout(p.tokamak_operator, escrow_val) elif p.verdict == "PARTIAL_CONFINEMENT_MILESTONE": p.status = STATUS_SETTLED_PARTIAL payout = (escrow_val * bigint(40)) // bigint(100) refund = escrow_val - payout self._credit_payout(p.tokamak_operator, payout) self._credit_payout(p.sponsor, refund) else: p.status = STATUS_SETTLED_REJECTED self._credit_payout(p.sponsor, escrow_val) @gl.public.write def cancel_or_reclaim(self, policy_id: str) -> None: pid = self._resolve_pid(policy_id) if pid not in self.policies: raise ContractError(f"Policy {pid} does not exist.") p = self.policies[pid] if _addr_str(_get_sender()) != _addr_str(p.sponsor) and _addr_str(_get_sender()) != _addr_str(self.owner): raise ContractError("Role Violation: Only sponsor fund or owner can reclaim expired experimental escrow.") current_time = self._get_current_timestamp() if p.status in (STATUS_POLICY_OPEN, STATUS_UNRESOLVED): if current_time < p.expires_at_time: raise ContractError(f"Cannot reclaim: Policy is still active (expires at {int(p.expires_at_time)}).") else: raise ContractError("Cannot reclaim: Shot telemetry is actively undergoing evaluation or already settled.") p.status = STATUS_EXPIRED_RECLAIMED p.verdict = "EXPIRED_CLEAN" p.reason = "Pulse duration completed without valid plasma diagnostics. Escrow reclaimed by sponsor fund." escrow_val = p.escrow_amount p.escrow_amount = bigint(0) self.total_fusion_locked = self.total_fusion_locked - escrow_val self._credit_payout(p.sponsor, escrow_val) @gl.public.write def claim_payout(self) -> None: sender = _get_sender() s_str = _addr_str(sender) bal = self.claimable_balances.get(s_str, bigint(0)) if bal <= bigint(0): raise ContractError("No claimable balance available for withdrawal.") try: gl.get_contract_at(sender).emit_transfer(value=u256(int(bal))) except Exception as e: raise ContractError(f"Outbound transfer failed during claim: {str(e)}. Balance preserved.") self.claimable_balances[s_str] = bigint(0) self.total_pending_claims = self.total_pending_claims - bal if self.total_pending_claims >= bal else bigint(0) prev_w = self.total_withdrawn_ledger.get(s_str, bigint(0)) self.total_withdrawn_ledger[s_str] = prev_w + bal # ── Read-only Views ─────────────────────────────────────────────── @gl.public.view def get_policy(self, policy_id: str) -> str: pid = self._resolve_pid(policy_id) if pid not in self.policies: raise ContractError(f"Policy {pid} does not exist.") p = self.policies[pid] data = { "policy_id": p.policy_id, "sponsor": _addr_str(p.sponsor), "tokamak_operator": _addr_str(p.tokamak_operator), "dispute_initiator": _addr_str(p.dispute_initiator), "escrow_amount": str(p.escrow_amount), "dispute_bond": str(p.dispute_bond), "reactor_facility_id": p.reactor_facility_id, "min_confinement_ms": int(p.min_confinement_ms), "target_q_factor_bps": int(p.target_q_factor_bps), "diagnostic_feed_url": p.diagnostic_feed_url, "evidence_hash": p.evidence_hash, "status": int(p.status), "verdict": p.verdict, "original_verdict": p.original_verdict, "reason": p.reason, "confidence": int(p.confidence), "measured_confinement_ms": int(p.measured_confinement_ms), "measured_q_factor_bps": int(p.measured_q_factor_bps), "tbr_ratio_bps": int(p.tbr_ratio_bps), "created_at_time": str(p.created_at_time), "expires_at_time": str(p.expires_at_time), "audit_completed_time": str(p.audit_completed_time), "supplemental_evidence_url": p.supplemental_evidence_url, "appeal_prior_verdict": p.appeal_prior_verdict, "dispute_filed_time": str(p.dispute_filed_time), } return json.dumps(data) @gl.public.view def get_remaining_cooling_off_seconds(self, policy_id: str) -> u64: pid = self._resolve_pid(policy_id) if pid not in self.policies: return u64(0) p = self.policies[pid] if p.status != STATUS_AWAITING_PAYOUT or p.audit_completed_time <= bigint(0): return u64(0) current_time = self._get_current_timestamp() expiry = p.audit_completed_time + COOLING_OFF_SECONDS remaining = int(expiry - current_time) return u64(remaining if remaining > 0 else 0) @gl.public.view def get_policy_count(self) -> u64: return u64(len(self.policy_ids)) @gl.public.view def get_all_policies(self) -> str: policies_list = [] for pid in self.policy_ids: if pid in self.policies: p = self.policies[pid] policies_list.append({ "policy_id": p.policy_id, "sponsor": _addr_str(p.sponsor), "tokamak_operator": _addr_str(p.tokamak_operator), "dispute_initiator": _addr_str(p.dispute_initiator), "escrow_amount": str(p.escrow_amount), "dispute_bond": str(p.dispute_bond), "reactor_facility_id": p.reactor_facility_id, "min_confinement_ms": int(p.min_confinement_ms), "target_q_factor_bps": int(p.target_q_factor_bps), "diagnostic_feed_url": p.diagnostic_feed_url, "evidence_hash": p.evidence_hash, "status": int(p.status), "verdict": p.verdict, "original_verdict": p.original_verdict, "reason": p.reason, "confidence": int(p.confidence), "measured_confinement_ms": int(p.measured_confinement_ms), "measured_q_factor_bps": int(p.measured_q_factor_bps), "tbr_ratio_bps": int(p.tbr_ratio_bps), "created_at_time": str(p.created_at_time), "expires_at_time": str(p.expires_at_time), "audit_completed_time": str(p.audit_completed_time), "dispute_filed_time": str(p.dispute_filed_time), }) return json.dumps(policies_list) @gl.public.view def get_claimable_balance(self, account: Address) -> str: return str(self.claimable_balances.get(_addr_str(account), bigint(0))) @gl.public.view def get_stats(self) -> str: data = { "total_policies": len(self.policy_ids), "total_fusion_locked": str(self.total_fusion_locked), "total_shots_settled": int(self.total_shots_settled), "total_pending_claims": str(self.total_pending_claims), "owner": _addr_str(self.owner), } return json.dumps(data) @gl.public.view def evaluate_shot_criteria_view( self, fac_extracted: str, expected_facility: str, conf_ms: int, min_conf: int, q_bps: int, target_q: int, tbr_bps: int, disruption_detected: bool, ) -> str: verdict, _ = _evaluate_shot_criteria( fac_extracted, expected_facility, conf_ms, min_conf, q_bps, target_q, tbr_bps, disruption_detected ) return verdict @gl.public.view def validate_measurements_agreement_view( self, mine_json: str, leader_json: str, ) -> bool: try: m = json.loads(mine_json) l = json.loads(leader_json) return _validate_adjudication_payloads(m, l) except Exception: return False