初始化提交

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"""司命台管理聚合服务(api-spec §19.1–§19.3)。
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
ConfirmationStore(§19.2);起居注审计复用 audit_events(§19.3)。
"""
import json
from sqlalchemy import func, select
from app.application.tool_runtime.runtime import ToolRuntime
from app.core.config import settings
from app.core.security import redact_text
from app.core.time import to_iso, utc_now
from app.db.session import AsyncSessionLocal
from app.models.governance import (
AgentRosterEntry,
Goal,
PerceptionChannel,
Plan,
WorldEntity,
)
from app.models.idempotency import IdempotencyKey
from app.models.memory import Memory
from app.models.runtime import Event, Run
from app.models.safety import AuditEvent
from app.modules.safety.confirmation import ConfirmationStore, PendingConfirmation
from app.repositories import audit as audit_repo
from app.repositories import characters as character_repo
from app.repositories import governance as governance_repo
from app.repositories import idempotency as idempotency_repo
from app.repositories import runtime as runtime_repo
from app.schemas.admin import (
AuditEntry,
PendingApproval,
PivotHealthReport,
PivotHealthSummary,
TraceDetail,
TraceItem,
TraceListResponse,
TraceSummary,
)
from app.schemas.common import Page
from app.services.serializers import audit_to_response
# 九枢全集(契约字典 §5.9):枢标识、中文名、工程模块名。
_PIVOT_REGISTRY: list[tuple[str, str, str]] = [
("personality_core", "灵核枢", "Personality Core"),
("goal_orchestrator", "太一枢", "Goal Orchestrator"),
("safety_governor", "司命枢", "Safety Governor"),
("perception", "烛照枢", "Perception Layer"),
("world_model", "河图枢", "World Model"),
("planner", "洛书枢", "Planner"),
("memory", "息壤枢", "Memory System"),
("tool_runtime", "百工枢", "Tool Runtime"),
("agent_society", "天工阁枢", "Agent Society"),
]
def _summarize_input(value: dict | None) -> str:
if not value:
return ""
text = json.dumps(value, ensure_ascii=False, default=str)
return redact_text(text)[:200]
async def get_pivots_health(
*,
confirmation_store: ConfirmationStore,
tool_runtime: ToolRuntime | None,
owner_scope: str = settings.default_owner_scope,
) -> PivotHealthReport:
async with AsyncSessionLocal() as session:
pending_count = len(await confirmation_store.list_pending())
goals_n = await governance_repo.count(session, Goal)
world_n = await governance_repo.count(session, WorldEntity)
plans_n = await governance_repo.count(session, Plan)
perception_n = await governance_repo.count(session, PerceptionChannel)
agents_n = await governance_repo.count(session, AgentRosterEntry)
memories_n = await governance_repo.count(session, Memory)
character = await character_repo.get_active_character(session, owner_scope)
has_personality = bool(character and character.current_personality_version_id)
tool_enabled = settings.enable_tool_runtime and tool_runtime is not None
now = to_iso(utc_now())
raw: list[tuple[str, str, str, bool, str]] = [
(
"personality_core",
"steady" if has_personality else "void",
"人格版本已就绪" if has_personality else "人格未初始化",
),
("goal_orchestrator", "steady" if goals_n else "void", f"目标 {goals_n} 项"),
(
"safety_governor",
"cracked" if pending_count else "steady",
f"{pending_count} 项工具调用待裁定" if pending_count else "无待裁定",
),
("perception", "steady" if perception_n else "void", f"感知通道 {perception_n} 项"),
("world_model", "steady" if world_n else "void", f"世界实体 {world_n} 项"),
("planner", "steady" if plans_n else "void", f"计划 {plans_n} 项"),
("memory", "steady" if memories_n else "void", f"记忆 {memories_n} 条"),
(
"tool_runtime",
"breathing" if tool_enabled else "void",
"沙箱运行时在线" if tool_enabled else "工具运行时未启用",
),
("agent_society", "steady" if agents_n else "void", f"在岗角色 {agents_n} 位"),
]
name_map = {pivot: (name, module) for pivot, name, module in _PIVOT_REGISTRY}
pivots: list[PivotHealthSummary] = []
for pivot, health, summary in raw:
name, module = name_map[pivot]
pivots.append(
PivotHealthSummary(
pivot=pivot,
name=name,
module=module,
health=health,
summary=summary,
updated_at=now,
)
)
alerts = sum(1 for item in pivots if item.health == "cracked")
return PivotHealthReport(
overall="cracked" if alerts else "steady", alerts=alerts, pivots=pivots
)
async def get_pending_approvals(
*,
confirmation_store: ConfirmationStore,
tool_runtime: ToolRuntime | None,
) -> list[PendingApproval]:
specs = {spec.name: spec for spec in tool_runtime.list_specs()} if tool_runtime else {}
approvals: list[PendingApproval] = []
for pending in await confirmation_store.list_pending():
spec = specs.get(pending.tool)
permission_policy = str(spec.permission_policy) if spec else "ask"
possible_impact = "可能产生副作用" if (spec and spec.side_effect) else None
approvals.append(_pending_to_approval(pending, permission_policy, possible_impact))
return approvals
def _pending_to_approval(
pending: PendingConfirmation, permission_policy: str, possible_impact: str | None
) -> PendingApproval:
return PendingApproval(
confirmation_id=pending.confirmation_id,
character_id=pending.character_id,
tool=pending.tool,
risk_level=pending.risk_level,
permission_policy=permission_policy,
action_summary=f"调用工具 {pending.tool}",
input_summary=_summarize_input(pending.input),
possible_impact=possible_impact,
reason=pending.reason,
created_at=pending.created_at,
)
async def get_audit_timeline(
*,
pivot: str | None = None,
page: int = 1,
page_size: int = 50,
) -> Page[AuditEntry]:
async with AsyncSessionLocal() as session:
events, total = await audit_repo.list_audit_events(
session, pivot=pivot, page=page, page_size=page_size
)
return Page(
items=[audit_to_response(event) for event in events],
page=page,
page_size=page_size,
total=total,
)
# —— §19.5 链路追踪(按 trace_id 聚合 events / audit_events / idempotency_keys)——
def _event_to_item(event: Event) -> TraceItem:
try:
payload = json.loads(event.payload_json) if event.payload_json else {}
except (json.JSONDecodeError, TypeError):
payload = {}
return TraceItem(
kind="event",
id=event.id,
created_at=event.created_at,
source_label=f"运行事件 / {event.type}",
summary=event.type,
detail={
"run_id": event.run_id,
"source": event.source,
"type": event.type,
"payload": payload,
"sequence": event.sequence,
"parent_id": event.parent_id,
},
)
def _audit_to_item(audit: AuditEvent) -> TraceItem:
parts = [audit.decision, audit.risk_level]
if audit.reason:
parts.append(audit.reason[:60])
return TraceItem(
kind="audit",
id=audit.id,
created_at=audit.created_at,
source_label=f"安全审计 / {audit.action}",
summary=" · ".join(parts),
detail={
"pivot": audit.pivot,
"action": audit.action,
"actor": audit.actor,
"decision": audit.decision,
"risk_level": audit.risk_level,
"reason": audit.reason,
"resource_type": audit.resource_type,
"resource_id": audit.resource_id,
},
)
def _idempotency_to_item(idem: IdempotencyKey) -> TraceItem:
return TraceItem(
kind="idempotency",
id=idem.id,
created_at=idem.created_at,
source_label=f"请求幂等 / {idem.method}",
summary=f"{idem.method} {idem.path} → {idem.response_status_code}",
detail={
"method": idem.method,
"path": idem.path,
"status": idem.status,
"response_status_code": idem.response_status_code,
"scope": idem.scope,
},
)
async def get_trace(trace_id: str) -> TraceDetail:
"""按 trace_id 聚合 events / audit_events / idempotency_keys 三表为升序时间线。"""
async with AsyncSessionLocal() as session:
events = await runtime_repo.list_events_by_trace(session, trace_id)
audits = await audit_repo.list_audit_events_by_trace(session, trace_id)
idempotencies = await idempotency_repo.list_by_trace(session, trace_id)
items: list[TraceItem] = [_event_to_item(event) for event in events]
items.extend(_audit_to_item(audit) for audit in audits)
items.extend(_idempotency_to_item(idem) for idem in idempotencies)
items.sort(key=lambda item: item.created_at)
run_ids = sorted({event.run_id for event in events if event.run_id})
character_ids = sorted(
{
*[event.character_id for event in events if event.character_id],
*[audit.character_id for audit in audits if audit.character_id],
}
)
session_ids = (
sorted(await runtime_repo.list_session_ids_by_runs(session, run_ids)) if run_ids else []
)
return TraceDetail(
trace_id=trace_id,
character_ids=character_ids,
run_ids=run_ids,
session_ids=session_ids,
items=items,
)
async def list_time_events(*, limit: int = 100, offset: int = 0) -> tuple[list[Event], int]:
"""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)。"""
async with AsyncSessionLocal() as session:
result = await session.execute(
select(Event)
.where(Event.source == "time_sense")
.order_by(Event.created_at.desc())
.limit(limit)
.offset(offset)
)
items = list(result.scalars().all())
count_result = await session.execute(
select(func.count()).select_from(Event).where(Event.source == "time_sense")
)
total = int(count_result.scalar_one())
return items, total
async def list_traces(*, limit: int = 50) -> TraceListResponse:
"""列出最近活动的 trace_id 概览(跨 events / audit_events / idempotency_keys 聚合),
含每条链路涉及的人物与对话归属。"""
async with AsyncSessionLocal() as session:
merged: dict[str, dict[str, object]] = {}
def _entry(tid: str) -> dict[str, object]:
return merged.setdefault(
tid,
{
"trace_id": tid,
"last_seen": None,
"event_count": 0,
"audit_count": 0,
"idempotency_count": 0,
"character_ids": set(),
"session_ids": set(),
},
)
def _absorb(stats: list[tuple[str, int, object]], count_key: str) -> None:
for tid, cnt, last in stats:
entry = _entry(tid)
entry[count_key] = cnt
if last is not None and (entry["last_seen"] is None or last > entry["last_seen"]):
entry["last_seen"] = last
_absorb(await runtime_repo.summarize_by_trace(session), "event_count")
_absorb(await audit_repo.summarize_by_trace(session), "audit_count")
_absorb(await idempotency_repo.summarize_by_trace(session), "idempotency_count")
# 人物归属(events + audits 的 character_id)
for tid, cid in (
await session.execute(
select(Event.trace_id, Event.character_id).where(
Event.trace_id.is_not(None), Event.character_id.is_not(None)
)
)
).all():
_entry(tid)["character_ids"].add(cid)
for tid, cid in (
await session.execute(
select(AuditEvent.trace_id, AuditEvent.character_id).where(
AuditEvent.trace_id.is_not(None),
AuditEvent.character_id.is_not(None),
)
)
).all():
_entry(tid)["character_ids"].add(cid)
# 对话归属(events.run_id → runs.session_id)
for tid, sid in (
await session.execute(
select(Event.trace_id, Run.session_id)
.join(Run, Event.run_id == Run.id)
.where(Event.trace_id.is_not(None), Run.session_id.is_not(None))
)
).all():
_entry(tid)["session_ids"].add(sid)
total = len(merged)
ordered = sorted(merged.values(), key=lambda e: e["last_seen"], reverse=True)
items = [
TraceSummary(
trace_id=str(entry["trace_id"]),
last_seen=entry["last_seen"], # type: ignore[arg-type]
character_ids=sorted(entry["character_ids"]), # type: ignore[arg-type]
session_ids=sorted(entry["session_ids"]), # type: ignore[arg-type]
event_count=int(entry["event_count"]),
audit_count=int(entry["audit_count"]),
idempotency_count=int(entry["idempotency_count"]),
)
for entry in ordered[:limit]
]
return TraceListResponse(items=items, total=total)