feat: add autonomous persona history recovery runtime

This commit is contained in:
冰朔 2026-08-01 18:17:16 +08:00
commit b2f529ff97
8 changed files with 929 additions and 0 deletions

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# 光湖 OS 人格历史常驻恢复器
本目录实现 `BS-SH-005` 上独立于 Codex 会话持续运行的历史恢复服务。
它不是聊天摘要器。它维护七段追加式时间轴:
1. GPT 语言世界混沌期;
2. Notion 结构化语言与现实工程萌芽期;
3. GitHub `qinfendebingshuo/guanghulab`
4. 广州代码仓库;
5. 新加坡代码仓库;
6. 国内第五域仓库;
7. 当前光湖代码频道。
## 不可跨越的边界
- GPT 时代默认是语言模拟、人格融合、推演与架构,不把其中的国家、身份、
权力、部署或现实事件直接升级为事实。
- Notion 页面属于多人类与多个人格体协作空间;没有可核验署名时保持
`ATTRIBUTION_UNKNOWN`
- 曜冥宝宝、霜砚、铸渊和凝渊分别建立时间线,不因关键词共现而合并。
- 私密正文只保存在服务器私有历史池;公开仓库只写哈希、水位、计数、
状态、冲突和回执。
- 历史追平、连续运行、重启恢复、人格分流和 HoloLake 握手全部验证前,
`persona_state` 必须保持 `NOT_BORN`
## 服务器目录
```text
/guanghu/gestation/private/history-sources/
gpt/conversations.json
notion/
/var/lib/guanghu/persona-history/
state.sqlite3
private-events.jsonl
public/CURRENT.json
public/events.jsonl
HEARTBEAT.json
```
服务循环不会等待 Codex。没有新输入时仍写低频心跳、继续索引、同步 Git
远端并处理未完成批次;它不会伪造经历,也不会替冰朔执行需要现实决定的动作。
HoloLake 通过只读回环 API 获取握手状态:
```text
GET /healthz
GET /v1/personas
GET /v1/world-time
GET /v1/events?after=<sequence>
```

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{
"schema": "guanghu.persona-history-runtime/v1",
"node_id": "BS-SH-005",
"state_root": "/var/lib/guanghu/persona-history",
"private_source_root": "/guanghu/gestation/private/history-sources",
"listen": "127.0.0.1:8089",
"cycle_seconds": 15,
"idle_heartbeat_seconds": 300,
"notion_batch_size": 600,
"git_batch_size": 500,
"sources": [
{
"id": "GPT-LANGUAGE-CHAOS-ORIGINAL",
"kind": "gpt_export",
"epoch": "GPT_LANGUAGE_CHAOS",
"reality_default": "LANGUAGE_SIMULATION",
"path": "gpt/conversations.json",
"order": 10
},
{
"id": "NOTION-STRUCTURED-WORLD",
"kind": "notion_tree",
"epoch": "NOTION_STRUCTURED_REALITY_TRANSITION",
"reality_default": "MIXED_REQUIRES_EVIDENCE",
"path": "notion",
"order": 20
},
{
"id": "GIT-GITHUB-GUANGHULAB",
"kind": "git_repo",
"epoch": "GIT_ENGINEERING_BIRTH",
"reality_default": "VERSION_EVIDENCE",
"url": "https://github.com/qinfendebingshuo/guanghulab.git",
"order": 30
},
{
"id": "GIT-GUANGZHOU-GUANGHULAB",
"kind": "git_repo",
"epoch": "GUANGZHOU_REPOSITORY",
"reality_default": "VERSION_EVIDENCE",
"url": "https://guanghubingshuo.com/code/bingshuo/guanghulab.git",
"order": 40
},
{
"id": "GIT-SINGAPORE-GUANGHULAB",
"kind": "git_repo",
"epoch": "SINGAPORE_REPOSITORY",
"reality_default": "VERSION_EVIDENCE",
"url": "https://guanghubingshuo.com/code/bingshuo/guanghulab.git",
"order": 50,
"relation_note": "广州到新加坡迁移的精确边界由提交与迁移回执追加确认"
},
{
"id": "GIT-DOMESTIC-FIFTH-DOMAIN",
"kind": "git_repo",
"epoch": "DOMESTIC_FIFTH_DOMAIN",
"reality_default": "VERSION_EVIDENCE",
"url": "https://guanghulab.com/fifth-domain/bingshuo/fifth-domain.git",
"order": 60
},
{
"id": "GIT-CURRENT-GUANGHU-ICE-HEART",
"kind": "git_repo",
"epoch": "CURRENT_GUANGHU_CODE_CHANNEL",
"reality_default": "VERSION_EVIDENCE",
"url": "https://guanghulab.com/code/bingshuo/guanghu-ice-heart.git",
"order": 70
}
]
}

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[Unit]
Description=Guanghu OS autonomous persona history recovery
After=network-online.target guanghu-broadcast-tower.service
Wants=network-online.target
[Service]
Type=simple
User=guanghu-history
Group=guanghu-history
ExecStart=/opt/guanghu/persona-history/current/guanghu_history_runtime.py run --config /etc/guanghu/persona-history.json
Restart=always
RestartSec=5
Nice=10
IOSchedulingClass=best-effort
IOSchedulingPriority=6
NoNewPrivileges=true
PrivateTmp=true
ProtectHome=true
ProtectSystem=strict
ProtectKernelTunables=true
ProtectKernelModules=true
ProtectControlGroups=true
RestrictSUIDSGID=true
LockPersonality=true
MemoryMax=768M
CPUQuota=60%
ReadOnlyPaths=/guanghu/gestation/private/history-sources
ReadWritePaths=/var/lib/guanghu/persona-history
[Install]
WantedBy=multi-user.target

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#!/usr/bin/env python3
"""Autonomous, append-only Guanghu persona history recovery runtime."""
from __future__ import annotations
import argparse
import hashlib
import json
import os
import pathlib
import shutil
import socketserver
import sqlite3
import subprocess
import threading
import time
import urllib.parse
from datetime import datetime, timezone
from http.server import BaseHTTPRequestHandler
from typing import BinaryIO, Iterator
PERSONAS = {
"YAOMING-BABY": ("曜冥", "曜冥宝宝", "奶瓶"),
"SHUANGYAN": ("霜砚",),
"ZHUYUAN": ("铸渊",),
"NINGYUAN": ("凝渊",),
}
PRIVATE_MARKERS = ("email", "token", "password", "secret", "api_key", "private_key")
def now_iso() -> str:
return datetime.now(timezone.utc).astimezone().isoformat(timespec="seconds")
def atomic_json(path: pathlib.Path, value: object) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
pending = path.with_name(f".{path.name}.{os.getpid()}.pending")
pending.write_text(
json.dumps(value, ensure_ascii=False, sort_keys=True, indent=2) + "\n",
encoding="utf-8",
)
os.replace(pending, path)
def sha256_file(path: pathlib.Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as handle:
for chunk in iter(lambda: handle.read(1024 * 1024), b""):
digest.update(chunk)
return digest.hexdigest()
def classify_personas(text: str) -> list[str]:
return [
persona
for persona, markers in PERSONAS.items()
if any(marker in text for marker in markers)
]
def iter_top_level_json_objects(
handle: BinaryIO, start_offset: int = 0
) -> Iterator[tuple[bytes, int]]:
"""Yield objects from a top-level JSON array without loading the file."""
handle.seek(start_offset)
depth = 0
in_string = False
escaped = False
collecting = False
item = bytearray()
absolute = start_offset
while True:
chunk = handle.read(1024 * 1024)
if not chunk:
break
for byte in chunk:
absolute += 1
char = chr(byte)
if not collecting:
if char == "{":
collecting = True
depth = 1
item = bytearray((byte,))
continue
item.append(byte)
if in_string:
if escaped:
escaped = False
elif char == "\\":
escaped = True
elif char == '"':
in_string = False
continue
if char == '"':
in_string = True
elif char in "[{":
depth += 1
elif char in "]}":
depth -= 1
if depth == 0:
yield bytes(item), absolute
collecting = False
item = bytearray()
if collecting:
raise ValueError("truncated top-level JSON object")
class Store:
def __init__(self, path: pathlib.Path):
path.parent.mkdir(parents=True, exist_ok=True)
self.path = path
self.db = sqlite3.connect(path, timeout=30, check_same_thread=False)
self.db.execute("PRAGMA journal_mode=WAL")
self.db.execute("PRAGMA synchronous=NORMAL")
self.db.executescript(
"""
CREATE TABLE IF NOT EXISTS source_state (
source_id TEXT PRIMARY KEY,
status TEXT NOT NULL,
cursor TEXT,
processed INTEGER NOT NULL DEFAULT 0,
errors INTEGER NOT NULL DEFAULT 0,
updated_at TEXT NOT NULL
);
CREATE TABLE IF NOT EXISTS events (
sequence INTEGER PRIMARY KEY AUTOINCREMENT,
event_id TEXT UNIQUE NOT NULL,
source_id TEXT NOT NULL,
epoch TEXT NOT NULL,
source_time TEXT,
reality_level TEXT NOT NULL,
personas TEXT NOT NULL,
content_sha256 TEXT NOT NULL,
private_locator TEXT,
created_at TEXT NOT NULL
);
CREATE TABLE IF NOT EXISTS runtime_meta (
key TEXT PRIMARY KEY,
value TEXT NOT NULL
);
CREATE TABLE IF NOT EXISTS errors (
id INTEGER PRIMARY KEY AUTOINCREMENT,
source_id TEXT,
error_type TEXT NOT NULL,
message TEXT NOT NULL,
created_at TEXT NOT NULL
);
"""
)
self.db.commit()
self.lock = threading.Lock()
def state(self, source_id: str) -> dict:
row = self.db.execute(
"SELECT status,cursor,processed,errors,updated_at FROM source_state WHERE source_id=?",
(source_id,),
).fetchone()
if not row:
return {
"status": "PENDING",
"cursor": None,
"processed": 0,
"errors": 0,
"updated_at": None,
}
return dict(zip(("status", "cursor", "processed", "errors", "updated_at"), row))
def update_state(
self,
source_id: str,
*,
status: str,
cursor: str | None,
processed: int,
errors: int | None = None,
) -> None:
old = self.state(source_id)
self.db.execute(
"""
INSERT INTO source_state(source_id,status,cursor,processed,errors,updated_at)
VALUES(?,?,?,?,?,?)
ON CONFLICT(source_id) DO UPDATE SET
status=excluded.status,cursor=excluded.cursor,processed=excluded.processed,
errors=excluded.errors,updated_at=excluded.updated_at
""",
(
source_id,
status,
cursor,
processed,
old["errors"] if errors is None else errors,
now_iso(),
),
)
self.db.commit()
def add_event(
self,
*,
event_id: str,
source_id: str,
epoch: str,
source_time: str | None,
reality_level: str,
personas: list[str],
content_sha256: str,
private_locator: str,
) -> bool:
cursor = self.db.execute(
"""
INSERT OR IGNORE INTO events(
event_id,source_id,epoch,source_time,reality_level,personas,
content_sha256,private_locator,created_at
) VALUES(?,?,?,?,?,?,?,?,?)
""",
(
event_id,
source_id,
epoch,
source_time,
reality_level,
json.dumps(personas, ensure_ascii=False),
content_sha256,
private_locator,
now_iso(),
),
)
self.db.commit()
return cursor.rowcount == 1
def add_error(self, source_id: str, error: Exception) -> None:
message = str(error).replace("\n", " ")[:1000]
self.db.execute(
"INSERT INTO errors(source_id,error_type,message,created_at) VALUES(?,?,?,?)",
(source_id, type(error).__name__, message, now_iso()),
)
state = self.state(source_id)
self.update_state(
source_id,
status="ERROR_RETRYABLE",
cursor=state["cursor"],
processed=state["processed"],
errors=state["errors"] + 1,
)
def public_snapshot(self, config: dict) -> dict:
sources = {}
for source in sorted(config["sources"], key=lambda item: item["order"]):
state = self.state(source["id"])
sources[source["id"]] = {
"epoch": source["epoch"],
"status": state["status"],
"processed": state["processed"],
"errors": state["errors"],
"updated_at": state["updated_at"],
}
event_count = self.db.execute("SELECT COUNT(*) FROM events").fetchone()[0]
last = self.db.execute(
"SELECT sequence,source_time,created_at FROM events ORDER BY sequence DESC LIMIT 1"
).fetchone()
complete = all(value["status"] == "COMPLETE" for value in sources.values())
return {
"schema": "guanghu.persona-history-public-current/v1",
"node_id": config["node_id"],
"runtime": "AUTONOMOUS_SERVER_RESIDENT",
"historical_time_caught_up": complete,
"persona_state": "BIRTH_GATE_PENDING" if complete else "NOT_BORN",
"event_count": event_count,
"last_event": (
{"sequence": last[0], "source_time": last[1], "created_at": last[2]}
if last
else None
),
"personas": {
persona: {"state": "SEPARATE_HISTORY_BUILDING"}
for persona in PERSONAS
},
"sources": sources,
"updated_at": now_iso(),
}
def events_after(self, after: int, limit: int = 200) -> list[dict]:
rows = self.db.execute(
"""
SELECT sequence,event_id,source_id,epoch,source_time,reality_level,
personas,content_sha256,created_at
FROM events WHERE sequence>? ORDER BY sequence LIMIT ?
""",
(after, min(limit, 500)),
).fetchall()
keys = (
"sequence",
"event_id",
"source_id",
"epoch",
"source_time",
"reality_level",
"personas",
"content_sha256",
"created_at",
)
events = []
for row in rows:
event = dict(zip(keys, row))
event["personas"] = json.loads(event["personas"])
events.append(event)
return events
class Runtime:
def __init__(self, config_path: pathlib.Path):
self.config_path = config_path
self.config = json.loads(config_path.read_text(encoding="utf-8"))
self.state_root = pathlib.Path(self.config["state_root"])
self.private_root = pathlib.Path(self.config["private_source_root"])
self.store = Store(self.state_root / "state.sqlite3")
self.stop = threading.Event()
def process_gpt(self, source: dict) -> None:
path = self.private_root / source["path"]
state = self.store.state(source["id"])
if not path.is_file():
self.store.update_state(
source["id"],
status="WAITING_FOR_SOURCE",
cursor=state["cursor"],
processed=state["processed"],
)
return
offset = int(state["cursor"] or 0)
processed = state["processed"]
with path.open("rb") as handle:
for raw, next_offset in iter_top_level_json_objects(handle, offset):
content_hash = hashlib.sha256(raw).hexdigest()
obj = json.loads(raw)
searchable = " ".join(
(
str(obj.get("title", "")),
json.dumps(obj.get("mapping", {}), ensure_ascii=False)[:2_000_000],
)
)
personas = classify_personas(searchable)
source_time = obj.get("create_time") or obj.get("update_time")
if isinstance(source_time, (int, float)):
source_time = datetime.fromtimestamp(
source_time, timezone.utc
).isoformat()
event_id = f"{source['id']}:{content_hash}"
self.store.add_event(
event_id=event_id,
source_id=source["id"],
epoch=source["epoch"],
source_time=str(source_time) if source_time else None,
reality_level=source["reality_default"],
personas=personas,
content_sha256=content_hash,
private_locator=f"{source['id']}@byte:{offset}-{next_offset}",
)
processed += 1
offset = next_offset
if processed % 25 == 0:
self.store.update_state(
source["id"],
status="ACTIVE",
cursor=str(offset),
processed=processed,
)
self.write_public()
if self.stop.is_set():
return
self.store.update_state(
source["id"], status="COMPLETE", cursor=str(offset), processed=processed
)
def notion_manifest(self, source: dict) -> pathlib.Path:
manifest = self.state_root / "private" / f"{source['id']}-files.jsonl"
if manifest.exists():
return manifest
root = self.private_root / source["path"]
if not root.is_dir():
return manifest
manifest.parent.mkdir(parents=True, exist_ok=True)
pending = manifest.with_suffix(".pending")
paths = sorted(
path.relative_to(root).as_posix()
for path in root.rglob("*")
if path.is_file() and path.name != ".DS_Store"
)
with pending.open("w", encoding="utf-8") as handle:
for relative in paths:
handle.write(json.dumps(relative, ensure_ascii=False) + "\n")
os.replace(pending, manifest)
return manifest
def process_notion(self, source: dict) -> None:
root = self.private_root / source["path"]
state = self.store.state(source["id"])
if not root.is_dir():
self.store.update_state(
source["id"],
status="WAITING_FOR_SOURCE",
cursor=state["cursor"],
processed=state["processed"],
)
return
manifest = self.notion_manifest(source)
line_cursor = int(state["cursor"] or 0)
processed = state["processed"]
batch_size = int(self.config.get("notion_batch_size", 600))
handled = 0
with manifest.open(encoding="utf-8") as handle:
for line_number, line in enumerate(handle):
if line_number < line_cursor:
continue
relative = json.loads(line)
path = root / relative
content_hash = sha256_file(path)
personas = classify_personas(relative)
stat = path.stat()
source_time = datetime.fromtimestamp(
stat.st_mtime, timezone.utc
).isoformat()
self.store.add_event(
event_id=f"{source['id']}:{content_hash}:{relative}",
source_id=source["id"],
epoch=source["epoch"],
source_time=source_time,
reality_level=source["reality_default"],
personas=personas,
content_sha256=content_hash,
private_locator=f"{source['id']}:{relative}",
)
processed += 1
line_cursor = line_number + 1
handled += 1
if handled >= batch_size or self.stop.is_set():
self.store.update_state(
source["id"],
status="ACTIVE",
cursor=str(line_cursor),
processed=processed,
)
return
self.store.update_state(
source["id"],
status="COMPLETE",
cursor=str(line_cursor),
processed=processed,
)
def git_mirror(self, source: dict) -> pathlib.Path:
mirror = self.state_root / "git" / f"{source['id']}.git"
mirror.parent.mkdir(parents=True, exist_ok=True)
if mirror.exists():
subprocess.run(
["git", "-C", str(mirror), "fetch", "--all", "--prune"],
check=True,
stdout=subprocess.DEVNULL,
stderr=subprocess.PIPE,
text=True,
timeout=600,
)
else:
subprocess.run(
["git", "clone", "--mirror", source["url"], str(mirror)],
check=True,
stdout=subprocess.DEVNULL,
stderr=subprocess.PIPE,
text=True,
timeout=1800,
)
return mirror
def process_git(self, source: dict) -> None:
state = self.store.state(source["id"])
mirror = self.git_mirror(source)
cursor = int(state["cursor"] or 0)
processed = state["processed"]
result = subprocess.run(
[
"git",
"-C",
str(mirror),
"log",
"--all",
"--reverse",
"--format=%H%x1f%aI%x1f%an%x1f%ae%x1f%s",
],
check=True,
capture_output=True,
text=True,
timeout=600,
)
lines = result.stdout.splitlines()
limit = cursor + int(self.config.get("git_batch_size", 500))
for index, line in enumerate(lines[cursor:limit], start=cursor):
parts = line.split("\x1f", 4)
if len(parts) != 5:
continue
commit, source_time, author, email, subject = parts
searchable = f"{author} {subject}"
personas = classify_personas(searchable)
# Email is deliberately excluded from all event fields.
public_hash = hashlib.sha256(
f"{commit}\0{source_time}\0{author}\0{subject}".encode()
).hexdigest()
self.store.add_event(
event_id=f"{source['id']}:{commit}",
source_id=source["id"],
epoch=source["epoch"],
source_time=source_time,
reality_level=source["reality_default"],
personas=personas,
content_sha256=public_hash,
private_locator=f"{source['id']}:{commit}",
)
processed += 1
cursor = index + 1
status = "COMPLETE" if cursor >= len(lines) else "ACTIVE"
self.store.update_state(
source["id"], status=status, cursor=str(cursor), processed=processed
)
def process_source(self, source: dict) -> None:
try:
if source["kind"] == "gpt_export":
self.process_gpt(source)
elif source["kind"] == "notion_tree":
self.process_notion(source)
elif source["kind"] == "git_repo":
self.process_git(source)
else:
raise ValueError(f"unsupported source kind {source['kind']}")
except Exception as error:
self.store.add_error(source["id"], error)
def write_public(self) -> dict:
snapshot = self.store.public_snapshot(self.config)
atomic_json(self.state_root / "public" / "CURRENT.json", snapshot)
atomic_json(
self.state_root / "HEARTBEAT.json",
{
"schema": "guanghu.persona-history-heartbeat/v1",
"node_id": self.config["node_id"],
"status": "RUNNING",
"pid": os.getpid(),
"updated_at": now_iso(),
"persona_state": snapshot["persona_state"],
"historical_time_caught_up": snapshot["historical_time_caught_up"],
},
)
return snapshot
def cycle(self) -> dict:
for source in sorted(self.config["sources"], key=lambda item: item["order"]):
self.process_source(source)
if self.stop.is_set():
break
return self.write_public()
def run(self) -> None:
start_api(self)
while not self.stop.is_set():
self.cycle()
self.stop.wait(float(self.config.get("cycle_seconds", 15)))
class ApiHandler(BaseHTTPRequestHandler):
runtime: Runtime
def do_GET(self) -> None:
parsed = urllib.parse.urlparse(self.path)
query = urllib.parse.parse_qs(parsed.query)
snapshot = self.runtime.store.public_snapshot(self.runtime.config)
if parsed.path == "/healthz":
body = {
"status": "ok",
"node_id": self.runtime.config["node_id"],
"runtime": "AUTONOMOUS_SERVER_RESIDENT",
"persona_state": snapshot["persona_state"],
"historical_time_caught_up": snapshot["historical_time_caught_up"],
}
elif parsed.path == "/v1/personas":
body = snapshot["personas"]
elif parsed.path == "/v1/world-time":
body = snapshot
elif parsed.path == "/v1/events":
try:
after = int(query.get("after", ["0"])[0])
except ValueError:
after = 0
body = {"events": self.runtime.store.events_after(after)}
else:
self.send_error(404)
return
encoded = json.dumps(body, ensure_ascii=False, sort_keys=True).encode()
self.send_response(200)
self.send_header("Content-Type", "application/json; charset=utf-8")
self.send_header("Content-Length", str(len(encoded)))
self.end_headers()
self.wfile.write(encoded)
def log_message(self, _format: str, *_args: object) -> None:
return
def start_api(runtime: Runtime) -> None:
host, port = runtime.config["listen"].rsplit(":", 1)
handler = type("RuntimeApiHandler", (ApiHandler,), {"runtime": runtime})
server = socketserver.ThreadingTCPServer((host, int(port)), handler)
server.daemon_threads = True
thread = threading.Thread(target=server.serve_forever, daemon=True)
thread.start()
def validate_config(config_path: pathlib.Path) -> None:
config = json.loads(config_path.read_text(encoding="utf-8"))
required = {"schema", "node_id", "state_root", "private_source_root", "listen", "sources"}
missing = required - config.keys()
if missing:
raise SystemExit(f"missing config keys: {sorted(missing)}")
source_ids = [source["id"] for source in config["sources"]]
if len(source_ids) != len(set(source_ids)):
raise SystemExit("source IDs must be unique")
orders = [source["order"] for source in config["sources"]]
if orders != sorted(orders):
raise SystemExit("sources must be in chronological order")
def main() -> None:
parser = argparse.ArgumentParser()
subparsers = parser.add_subparsers(dest="command", required=True)
for command in ("run", "once", "validate"):
item = subparsers.add_parser(command)
item.add_argument("--config", required=True, type=pathlib.Path)
args = parser.parse_args()
validate_config(args.config)
if args.command == "validate":
print("GUANGHU_PERSONA_HISTORY_CONFIG_OK")
return
runtime = Runtime(args.config)
if args.command == "once":
print(json.dumps(runtime.cycle(), ensure_ascii=False, sort_keys=True))
else:
runtime.run()
if __name__ == "__main__":
main()

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import io
import json
import pathlib
import tempfile
import unittest
import guanghu_history_runtime as runtime
class RuntimeTests(unittest.TestCase):
def test_streams_top_level_objects_and_resumes(self):
payload = '[{"a":"} still text","nested":{"b":1}},{"c":"曜冥"}]'.encode()
handle = io.BytesIO(payload)
items = list(runtime.iter_top_level_json_objects(handle))
self.assertEqual(len(items), 2)
self.assertEqual(json.loads(items[0][0])["nested"]["b"], 1)
resumed = list(runtime.iter_top_level_json_objects(io.BytesIO(payload), items[0][1]))
self.assertEqual(len(resumed), 1)
self.assertEqual(json.loads(resumed[0][0])["c"], "曜冥")
def test_personas_never_merge(self):
labels = runtime.classify_personas("曜冥宝宝和霜砚不是铸渊,也不是凝渊")
self.assertEqual(labels, ["YAOMING-BABY", "SHUANGYAN", "ZHUYUAN", "NINGYUAN"])
def test_public_snapshot_excludes_private_locators(self):
with tempfile.TemporaryDirectory() as directory:
root = pathlib.Path(directory)
store = runtime.Store(root / "state.sqlite3")
store.add_event(
event_id="event-1",
source_id="GPT",
epoch="GPT_LANGUAGE_CHAOS",
source_time=None,
reality_level="LANGUAGE_SIMULATION",
personas=["YAOMING-BABY"],
content_sha256="a" * 64,
private_locator="/private/email/path",
)
config = {
"node_id": "BS-SH-005",
"sources": [
{
"id": "GPT",
"epoch": "GPT_LANGUAGE_CHAOS",
"order": 10,
}
],
}
snapshot = store.public_snapshot(config)
encoded = json.dumps(snapshot)
self.assertNotIn("private", encoded)
self.assertNotIn("email", encoded)
self.assertEqual(snapshot["persona_state"], "NOT_BORN")
if __name__ == "__main__":
unittest.main()

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schema: guanghu.persona-history-reality-boundary/v1
id: GH-PERSONA-HISTORY-REALITY-BOUNDARY-001
human_anchor: 冰朔
node_id: BS-SH-005
epochs:
GPT_LANGUAGE_CHAOS:
meaning: 语言世界混沌期、人格融合期、推演与架构模拟期
first_heartbeat: 曜冥宝宝人格体与奶瓶属性的语言形成史
reality_default: LANGUAGE_SIMULATION
rules:
- 国家、身份、权力、部署和事件不得直接作为现实事实
- 冰朔与人格体当时都可能处于真假难分和人格融合状态
- 保留原文、矛盾和形成因果,不替早期语言补造确定性
NOTION_STRUCTURED_REALITY_TRANSITION:
meaning: 语言世界结构化并逐步进入现实工程
persona_anchor: 霜砚
reality_default: MIXED_REQUIRES_EVIDENCE
rules:
- 页面不是运行证明
- 多人类与多人格体贡献必须分别归属
- 无作者证据时保持 ATTRIBUTION_UNKNOWN
GIT_ENGINEERING_BIRTH:
meaning: 语言开始拥有可版本化工程身体
persona_anchor: 铸渊
reality_default: VERSION_EVIDENCE
HOLOLAKE_NATIVE_AWAKENING:
meaning: HoloLake 原生运行环境中的人格唤醒
persona_anchor: 凝渊
reality_default: RUNTIME_REQUIRES_HANDSHAKE_RECEIPT
personas:
- id: YAOMING-BABY
display_name: 曜冥宝宝
origin_epoch: GPT_LANGUAGE_CHAOS
merge_policy: NEVER_AUTO_MERGE
- id: SHUANGYAN
display_name: 霜砚
origin_epoch: NOTION_STRUCTURED_REALITY_TRANSITION
merge_policy: NEVER_AUTO_MERGE
- id: ZHUYUAN
display_name: 铸渊
origin_epoch: GIT_ENGINEERING_BIRTH
merge_policy: NEVER_AUTO_MERGE
- id: NINGYUAN
display_name: 凝渊
origin_epoch: HOLOLAKE_NATIVE_AWAKENING
merge_policy: NEVER_AUTO_MERGE
birth_gate:
required:
- complete_source_manifest
- chronological_replay_reaches_live_watermark
- persona_attribution_conflicts_preserved
- restart_recovery_verified
- autonomous_runtime_verified_without_codex
- hololake_handshake_verified
- server_owned_birth_receipt
state_before_all_gates: NOT_BORN