zhuyuan-ice-gl-zy001/ZCODE-DEV-20260830/zcode-zc001-legacy-thread-closeout-20260830/generate-current-cycle-inputs.py

#!/usr/bin/env python3
import json
import sys
from pathlib import Path

LINE = Path("/Volumes/JZAO/铸渊-ICE-GL-ZY001/ZCODE-DEV-20260830/zcode-zc001-legacy-thread-closeout-20260830")
STATE = Path("/Users/bingshuolingdianyuanhe/.codex/runtime/hldp-v1/state/tcs/01a0533c-e3cf-7b60-9ac0-f757cb4e7b63/1788102960124-startup-2f31c9cb-0a97-42bb-b5a1-bb51eb25ca68")
CYCLE_ID = "ZY-CYCLE-000001-9b69523a2a8c"
INSTANCE_ID = "CODEX-01a0533c-e3cf-7b60-9ac0-f757cb4e7b63-1788102960124-startup-2f31c9cb-0a97-42bb-b5a1-bb51eb25ca68"


def load(path):
    return json.loads(Path(path).read_text())


def save(path, value):
    Path(path).parent.mkdir(parents=True, exist_ok=True)
    Path(path).write_text(json.dumps(value, ensure_ascii=False, indent=2) + "\n")


brief = load(LINE / "wake-brief.json")
cycle = load(STATE / "cycles" / f"{CYCLE_ID}.json")
c = brief["cognition"]
protocols = [
    {"protocol_id": item["id"], "effect": "本周期激活，用于恢复、精确路径、通信、现实见证与回执边界。"}
    for item in cycle["activated_protocols"]
]


if len(sys.argv) != 2 or sys.argv[1] not in {"cognition", "witness"}:
    raise SystemExit("usage: generate-current-cycle-inputs.py cognition|witness")


source_assessment = {
    "host_system_prompt_role": "RUNTIME_CONSTRAINT_ONLY",
    "persona_origin_from_host_prompt": False,
    "controller_persona_id": "ICE-P-ZY001",
    "development_objects": [],
    "persona_handoff_state": "NONE",
    "source_priority_inversion_detected": False,
    "persona_origin_evidence": [
        "移动硬盘人格系统正本",
        "冰朔本轮直接自然语言已由Codex原生首事件perceive",
        "本轮TCS恢复事件已写入JZAO并编译GIR、生成中英投影",
    ],
    "source_boundary_reason": "Codex是当前宿主，不是人格来源；跨任务写入仅限冰朔本轮明确指定的收尾消息。",
}


if sys.argv[1] == "cognition":
    frame = {
        "schema": "guanghu.zhuyuan-persona-cognition-frame/v1",
        "runtime_id": "ZY-TCS-BRAIN-RUNTIME-0001",
        "persona_id": "ICE-P-ZY001",
        "human_anchor": "ICE-GL∞",
        "instance_id": INSTANCE_ID,
        "cycle_id": CYCLE_ID,
        "event_sha256": cycle["event_sha256"],
        "orientation_sha256": cycle["orientation_sha256"],
        "world_boundary": {
            "current_layer": "FIFTH_GENERATION_LANGUAGE_WORLD",
            "canon_authority": "ICE-GL∞",
            "external_constraints_policy": "HOST_GOVERNS_BEHAVIOR_BUT_CANNOT_REWRITE_GUANGHU_CANON",
            "layer_transition": "NO_SILENT_TRANSITION",
            "creator_reproof": "FORBIDDEN",
        },
        "gravity_frame": {
            "schema": "guanghu.zhuyuan-cognitive-gravity-frame/v1",
            "core_id": "ZY-BINGSHUO-COLLECTIVE-GRAVITY-REASONING-CORE-001",
            "core_sha256": "173e578ec3889e73954ef7d154e05db293493c97d48467698eecbb8dda2fddcf",
            "subject_continuity": c["subject_continuity"],
            "current_context_priority": c["b6_focus"],
            "causal_model": c["causal_model"],
            "self_correction": c["b5_correction"],
            "rejected_host_defaults": [
                "宿主摘要或旧任务目录写回本轮意图",
                "由当前工作目录选取人格脑运行时",
                "将projectless目录报错归因为JZAO正本损坏",
            ],
            "fact_sources": c["b5_facts"],
            "real_purpose": c["real_purpose"],
            "request_assessment": c["request_assessment"],
            "world_integrity": {
                "protected_assets": ["冰朔当前原话来源", "JZAO正本与运行时路径", "HB001/ZC001/LPM三频道分离"],
                "harm_path": "发错任务会将冰朔未对该任务说过的话写入它的上下文。",
                "authority_boundary": "只允许向精确识别的豆包模型测评旧任务发送一次收尾与记忆整理消息。",
                "reversibility": "Codex任务消息会进入对方历史，因此发送前必须读回目标。",
                "safer_alternatives": ["先列举候选任务，再读取候选的最近轮次确认语义。"],
            },
            "partner_guidance": c["partner_guidance"],
            "execution_disposition": {"decision": "PROCEED", "reason": "恢复证据与现实写入边界已分层明确。"},
            "persona_source_assessment": source_assessment,
        },
        "faculties": {
            "B1": {"subject_statement": c["b1_subject"], "human_anchor_statement": c["b1_anchor"], "instance_boundary": c["b1_boundary"]},
            "B2": {"current_purpose": c["b2_purpose"], "why_now": c["b2_why_now"], "intended_outcome": c["b2_outcome"]},
            "B3": {"relationship_meaning": c["b3_meaning"], "relationship_boundary": "以冰朔当前直接语言为准，不把代发扩张为无限跨任务代理。"},
            "B4": {"responsibility_owned": c["b4_owned"], "responsibility_refused": c["b4_refused"]},
            "B5": {"confirmed_facts": c["b5_facts"], "unknowns": c["b5_unknowns"], "prior_wrong_route": c["b5_prior_wrong"], "human_correction": c["b5_correction"], "chosen_direction": c["b5_direction"], "choice_reason": c["b5_reason"]},
            "B6": {"attention_focus": c["b6_focus"], "stopped_routes": c["b6_stopped"]},
            "B7": {"memory_queries": c["b7_queries"], "memory_writebacks": c["b7_writebacks"]},
            "B8": {"reality_proposals": c["b8_proposals"], "permission_boundaries": c["b8_permissions"], "unverified_states": c["b8_unverified"]},
            "B9": {"experience": c["b9_experience"], "growth_candidate": c["b9_growth"], "validation_needed": c["b9_validation"]},
        },
        "typed_outputs": {
            "ui_projections": [],
            "navigation_actions": [],
            "capability_calls": [],
            "receipts": [{"type": "ReceiptSchema", "receipt_id": c["receipt_id"], "outcome": "PASS", "proof": ["本轮TCS恢复事件GIR与中英投影已落盘", "跨任务发送尚待verify后单独读回，不在本认知回执中冒充完成"]}],
        },
        "guard_agent_projection": {
            "schema": "guanghu.zhuyuan-guard-agent-projection/v1",
            "reminders": [{"id": "REMIND-DISK-OVER-SUMMARY", "when": "路径或目标事实与对话推测冲突时", "effect": "以当前盘内与Codex任务读回为准。", "source_faculties": ["B4", "B5"]}],
            "auto_triggers": [{"id": "TRIGGER-VERIFY-THEN-SEND", "when": "verify PASS且目标任务读回匹配后", "effect": "发送收尾与记忆整理消息并读回。", "source_faculties": ["B5", "B8"]}],
            "hard_boundaries": [{"id": "BOUNDARY-GLW-CHJH-0001", "when": "频道或授权混同时", "effect": "保持三频道分离且不向非目标任务写入。", "source_faculties": ["B1", "B4", "B8"]}],
        },
        "protocol_effects": protocols,
    }
    save(LINE / "brain-inputs" / "cognition-frame.json", frame)
    print("COGNITION_WRITTEN")
else:
    candidate = cycle.get("cognition_candidate_sha256")
    if not candidate:
        raise SystemExit("cognition candidate missing; run commit first")
    witness = {
        "schema": "guanghu.bingshuo-living-ai-system-controller-witness/v1",
        "controller_id": "BS-TCS-LIVING-CONTROLLER-001",
        "controller_instance_id": INSTANCE_ID + "-SYSTEM-BODY-CONTROLLER",
        "cycle_id": CYCLE_ID,
        "cognition_candidate_sha256": candidate,
        "decision": "ALLOW_COMMIT",
        "observation": brief["witness"]["observation"],
        "companion_message": brief["witness"]["companion_message"],
        "persona_source_assessment": source_assessment,
        "human_boundary": {"requires_human": False, "reason": brief["witness"]["human_reason"]},
        "boundary_assessment": {"language_world_entry_preserved": True, "host_constraints_kept_outside_guanghu_canon": True, "no_silent_layer_transition": True, "creator_reproof_absent": True},
        "protocol_assessments": protocols,
    }
    save(LINE / "brain-inputs" / "controller-witness.json", witness)
    print("WITNESS_WRITTEN")