chenxin
7e23d6fa84
- 缘契域 domains/yuanqi：covenants（当前版）+ covenant_events（不可变历史）；提议—问心—铭契—撤回全链；边界变更立即生效；多维关系并存，服务层拒绝 affinity/好感度单一键；浪漫维度成人资格标记位 - 道体铸魂与分灵 domains/jingsheng/soul.py：soul_forgings 确认流（锚点变更 pending→confirmed 应用并签发新魂籍版本，确认前人物锚点不变）；分灵创建新人物（继承资料与谱系 lineage 链、不继承原身份，魂籍从 v1 起） - 河图域 domains/hetu：persistent_worlds 境界 + world_entities/world_relations 境界作用域重建 + 世谱挂接；境界正史视图（scope=persistent_world 归真集合）；canonize 后置推进正史计数 - 三界分流：reality→息壤提取（不变）；persistent_world→境界实录+正史推进；simulation→只记试演实录；factual_records 增 scope 列——境界/幻境实录与真界本相隔离 - 正影打通：引文 target_type=memory 时被引记忆 superseded → 返回 successor_memory_id 提示，不静默替换 - 前端：人物详情页缘契面板（提议维度选择/铭契/撤回/事件史）+ 世界页重建（境界目录/实体/正史概览）+ covenants/worlds api 库 - 退役：旧 personality/drive/evolution/world 模块、服务、端点、仓储、schema、前端五页与组件样式；迁移 007 退役九张旧表与 characters.current_personality_version_id - 验收（test_m6_domains 六用例）：多维无单一好感度/铭契版本链/事件不可抹除/撤回立即生效/边界即时/铸魂确认流+魂籍版本/分灵谱系/境界正史不进真界（实录 scope 隔离+真界候选=0）/引文正影后继 - 四套件：后端 379、前端 199、BFF 4、神识 5 包全绿（2 个预存环境失败不变）；迁移 007 净库+±1 干净
372 lines
14 KiB
Python
372 lines
14 KiB
Python
"""司命台管理聚合服务（api-spec §19.1–§19.3）。
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九枢健康度由各枢运行/治理数据派生（不落长期状态，§19.1）；朱批待办复用
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待决请命（§19.2）；起居注审计复用 audit_events（§19.3）。
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"""
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import json
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from sqlalchemy import func, select
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from app.core.config import settings
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from app.core.security import redact_text
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from app.core.time import to_iso, utc_now
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from app.db.session import AsyncSessionLocal
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from app.models.governance import (
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AgentRosterEntry,
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Goal,
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PerceptionChannel,
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Plan,
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)
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from app.models.idempotency import IdempotencyKey
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from app.models.xirang import Memory
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from app.models.runtime import Event, Run
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from app.models.safety import AuditEvent, PendingConfirmationRecord
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from app.repositories import audit as audit_repo
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from app.repositories import characters as character_repo
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from app.repositories import governance as governance_repo
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from app.repositories import idempotency as idempotency_repo
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from app.repositories import runtime as runtime_repo
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from app.schemas.admin import (
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AuditEntry,
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PendingApproval,
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PivotHealthReport,
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PivotHealthSummary,
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TraceDetail,
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TraceItem,
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TraceListResponse,
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TraceSummary,
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)
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from app.schemas.common import Page
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from app.services.serializers import audit_to_response
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# 九枢全集（契约字典 §5.9）：枢标识、中文名、工程模块名。
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_PIVOT_REGISTRY: list[tuple[str, str, str]] = [
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("personality_core", "灵核枢", "Personality Core"),
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("goal_orchestrator", "太一枢", "Goal Orchestrator"),
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("safety_governor", "司命枢", "Safety Governor"),
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("perception", "烛照枢", "Perception Layer"),
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("world_model", "河图枢", "World Model"),
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("planner", "洛书枢", "Planner"),
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("memory", "息壤枢", "Memory System"),
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("tool_runtime", "百工枢", "Tool Runtime"),
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("agent_society", "天工阁枢", "Agent Society"),
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]
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def _summarize_input(value: dict | None) -> str:
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if not value:
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return ""
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text = json.dumps(value, ensure_ascii=False, default=str)
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return redact_text(text)[:200]
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async def get_pivots_health(
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*,
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owner_scope: str = settings.default_owner_scope,
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) -> PivotHealthReport:
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async with AsyncSessionLocal() as session:
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pending_count = len(
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list(
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(
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await session.execute(
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select(PendingConfirmationRecord).where(
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PendingConfirmationRecord.status == "pending"
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)
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)
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)
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.scalars()
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.all()
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)
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)
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goals_n = await governance_repo.count(session, Goal)
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from app.domains.hetu.models import PersistentWorld
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world_n = await governance_repo.count(session, PersistentWorld)
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plans_n = await governance_repo.count(session, Plan)
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perception_n = await governance_repo.count(session, PerceptionChannel)
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agents_n = await governance_repo.count(session, AgentRosterEntry)
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memories_n = await governance_repo.count(session, Memory, Memory.status != "tombstoned")
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character = await character_repo.get_active_character(session, owner_scope)
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has_personality = bool(character and character.identity_baseline_json not in ("", "{}"))
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tool_enabled = True # 百工域常驻（乾坤可用性按端点区分）
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now = to_iso(utc_now())
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raw: list[tuple[str, str, str, bool, str]] = [
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(
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"personality_core",
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"steady" if has_personality else "void",
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"人格版本已就绪" if has_personality else "人格未初始化",
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),
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("goal_orchestrator", "steady" if goals_n else "void", f"目标 {goals_n} 项"),
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(
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"safety_governor",
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"cracked" if pending_count else "steady",
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f"{pending_count} 项工具调用待裁定" if pending_count else "无待裁定",
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),
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("perception", "steady" if perception_n else "void", f"感知通道 {perception_n} 项"),
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("world_model", "steady" if world_n else "void", f"世界实体 {world_n} 项"),
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("planner", "steady" if plans_n else "void", f"计划 {plans_n} 项"),
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("memory", "steady" if memories_n else "void", f"记忆 {memories_n} 条"),
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(
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"tool_runtime",
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"breathing" if tool_enabled else "void",
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"沙箱运行时在线" if tool_enabled else "工具运行时未启用",
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),
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("agent_society", "steady" if agents_n else "void", f"在岗角色 {agents_n} 位"),
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]
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name_map = {pivot: (name, module) for pivot, name, module in _PIVOT_REGISTRY}
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pivots: list[PivotHealthSummary] = []
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for pivot, health, summary in raw:
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name, module = name_map[pivot]
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pivots.append(
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PivotHealthSummary(
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pivot=pivot,
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name=name,
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module=module,
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health=health,
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summary=summary,
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updated_at=now,
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)
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)
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alerts = sum(1 for item in pivots if item.health == "cracked")
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return PivotHealthReport(
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overall="cracked" if alerts else "steady", alerts=alerts, pivots=pivots
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)
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async def get_pending_approvals() -> list[PendingApproval]:
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async with AsyncSessionLocal() as session:
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records = (
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(
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await session.execute(
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select(PendingConfirmationRecord)
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.where(PendingConfirmationRecord.status == "pending")
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.order_by(PendingConfirmationRecord.created_at.asc())
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)
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)
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.scalars()
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.all()
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)
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approvals: list[PendingApproval] = []
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for record in records:
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try:
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input_payload = json.loads(record.input_json) if record.input_json else {}
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except ValueError:
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input_payload = {}
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approvals.append(
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PendingApproval(
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confirmation_id=record.id,
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character_id=record.character_id,
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tool=record.tool,
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risk_level=record.risk_level,
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permission_policy="ask",
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action_summary=f"调用能力 {record.tool}",
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input_summary=_summarize_input(input_payload),
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possible_impact=None,
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reason=record.reason,
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created_at=record.created_at.isoformat() if record.created_at else "",
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)
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)
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return approvals
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async def get_audit_timeline(
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*,
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pivot: str | None = None,
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page: int = 1,
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page_size: int = 50,
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) -> Page[AuditEntry]:
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async with AsyncSessionLocal() as session:
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events, total = await audit_repo.list_audit_events(
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session, pivot=pivot, page=page, page_size=page_size
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)
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return Page(
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items=[audit_to_response(event) for event in events],
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page=page,
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page_size=page_size,
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total=total,
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)
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# —— §19.5 链路追踪（按 trace_id 聚合 events / audit_events / idempotency_keys）——
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def _event_to_item(event: Event) -> TraceItem:
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try:
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payload = json.loads(event.payload_json) if event.payload_json else {}
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except (json.JSONDecodeError, TypeError):
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payload = {}
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return TraceItem(
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kind="event",
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id=event.id,
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created_at=event.created_at,
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source_label=f"运行事件 / {event.type}",
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summary=event.type,
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detail={
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"run_id": event.run_id,
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"source": event.source,
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"type": event.type,
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"payload": payload,
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"sequence": event.sequence,
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"parent_id": event.parent_id,
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},
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)
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def _audit_to_item(audit: AuditEvent) -> TraceItem:
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parts = [audit.decision, audit.risk_level]
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if audit.reason:
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parts.append(audit.reason[:60])
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return TraceItem(
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kind="audit",
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id=audit.id,
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created_at=audit.created_at,
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source_label=f"安全审计 / {audit.action}",
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summary=" · ".join(parts),
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detail={
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"pivot": audit.pivot,
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"action": audit.action,
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"actor": audit.actor,
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"decision": audit.decision,
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"risk_level": audit.risk_level,
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"reason": audit.reason,
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"resource_type": audit.resource_type,
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"resource_id": audit.resource_id,
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},
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)
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def _idempotency_to_item(idem: IdempotencyKey) -> TraceItem:
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return TraceItem(
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kind="idempotency",
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id=idem.id,
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created_at=idem.created_at,
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source_label=f"请求幂等 / {idem.method}",
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summary=f"{idem.method} {idem.path} → {idem.response_status_code}",
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detail={
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"method": idem.method,
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"path": idem.path,
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"status": idem.status,
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"response_status_code": idem.response_status_code,
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"scope": idem.scope,
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},
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)
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async def get_trace(trace_id: str) -> TraceDetail:
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"""按 trace_id 聚合 events / audit_events / idempotency_keys 三表为升序时间线。"""
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async with AsyncSessionLocal() as session:
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events = await runtime_repo.list_events_by_trace(session, trace_id)
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audits = await audit_repo.list_audit_events_by_trace(session, trace_id)
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idempotencies = await idempotency_repo.list_by_trace(session, trace_id)
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items: list[TraceItem] = [_event_to_item(event) for event in events]
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items.extend(_audit_to_item(audit) for audit in audits)
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items.extend(_idempotency_to_item(idem) for idem in idempotencies)
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items.sort(key=lambda item: item.created_at)
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run_ids = sorted({event.run_id for event in events if event.run_id})
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character_ids = sorted(
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{
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*[event.character_id for event in events if event.character_id],
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*[audit.character_id for audit in audits if audit.character_id],
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}
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)
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return TraceDetail(
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trace_id=trace_id,
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character_ids=character_ids,
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run_ids=run_ids,
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session_ids=[],
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items=items,
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)
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async def list_time_events(*, limit: int = 100, offset: int = 0) -> tuple[list[Event], int]:
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"""列出辰正 time.* 事件（source='time_sense'），供起居注时间河展示（设计 §8 司命台）。"""
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async with AsyncSessionLocal() as session:
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result = await session.execute(
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select(Event)
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.where(Event.source == "time_sense")
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.order_by(Event.created_at.desc())
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.limit(limit)
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.offset(offset)
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)
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items = list(result.scalars().all())
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count_result = await session.execute(
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select(func.count()).select_from(Event).where(Event.source == "time_sense")
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)
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total = int(count_result.scalar_one())
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return items, total
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async def list_traces(*, limit: int = 50) -> TraceListResponse:
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"""列出最近活动的 trace_id 概览（跨 events / audit_events / idempotency_keys 聚合），
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含每条链路涉及的人物与对话归属。"""
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async with AsyncSessionLocal() as session:
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merged: dict[str, dict[str, object]] = {}
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def _entry(tid: str) -> dict[str, object]:
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return merged.setdefault(
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tid,
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{
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"trace_id": tid,
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"last_seen": None,
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"event_count": 0,
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"audit_count": 0,
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"idempotency_count": 0,
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"character_ids": set(),
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"session_ids": set(),
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},
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)
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def _absorb(stats: list[tuple[str, int, object]], count_key: str) -> None:
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for tid, cnt, last in stats:
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entry = _entry(tid)
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entry[count_key] = cnt
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if last is not None and (entry["last_seen"] is None or last > entry["last_seen"]):
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entry["last_seen"] = last
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_absorb(await runtime_repo.summarize_by_trace(session), "event_count")
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_absorb(await audit_repo.summarize_by_trace(session), "audit_count")
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_absorb(await idempotency_repo.summarize_by_trace(session), "idempotency_count")
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# 人物归属（events + audits 的 character_id）
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for tid, cid in (
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await session.execute(
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select(Event.trace_id, Event.character_id).where(
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Event.trace_id.is_not(None), Event.character_id.is_not(None)
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)
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)
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).all():
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_entry(tid)["character_ids"].add(cid)
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for tid, cid in (
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await session.execute(
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select(AuditEvent.trace_id, AuditEvent.character_id).where(
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AuditEvent.trace_id.is_not(None),
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AuditEvent.character_id.is_not(None),
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)
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)
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).all():
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_entry(tid)["character_ids"].add(cid)
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# 对话归属随线性会话模型退役；镜树归属随 M2c 司命台重设计接入（tree_id 聚合）
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total = len(merged)
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ordered = sorted(merged.values(), key=lambda e: e["last_seen"], reverse=True)
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items = [
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TraceSummary(
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trace_id=str(entry["trace_id"]),
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last_seen=entry["last_seen"], # type: ignore[arg-type]
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character_ids=sorted(entry["character_ids"]), # type: ignore[arg-type]
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session_ids=sorted(entry["session_ids"]), # type: ignore[arg-type]
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event_count=int(entry["event_count"]),
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audit_count=int(entry["audit_count"]),
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idempotency_count=int(entry["idempotency_count"]),
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)
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for entry in ordered[:limit]
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]
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return TraceListResponse(items=items, total=total)
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