Files
hunjing/backend/app/services/admin.py
T

359 lines
14 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
"""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],
}
)
return TraceDetail(
trace_id=trace_id,
character_ids=character_ids,
run_ids=run_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)
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)