334 lines
13 KiB
Python
334 lines
13 KiB
Python
"""管理后台端点(admin-only):/v1/admin/*。
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`register_admin_routes(app, require_admin)` 在 create_app 内调用,把管理路由挂上去,
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整组走 `Depends(require_admin)`(JWT 有效 + users.role=='admin',否则 403)。
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第一版只有总览(监控指标):单个 `GET /v1/admin/overview` 一次返回全部 section
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(runtime / tasks / users / usage / storage),前端定时轮询这一个端点即可。runtime 读
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app.state 内存(轻);其余走 DB 聚合(GROUP BY,无 N+1)。指标只读、不落库。
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后续管理动作(建用户 / 改角色 / 配置磁盘配额等)在此模块续挂 /v1/admin/users、
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/v1/admin/config 等,前端 admin.html 加 tab。
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"""
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from __future__ import annotations
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from datetime import datetime, timedelta, timezone
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from typing import Any
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from uuid import UUID
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from fastapi import Depends, FastAPI
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from sqlalchemy import BigInteger, and_, cast, func, select
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from core.storage import session_scope
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from core.storage.models import Task, UsageEvent, User, UserDiskUsage
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from .broker import broker
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try:
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import resource # Unix only;Windows dev 无此模块,RSS 监控降级跳过
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except ImportError: # pragma: no cover - Windows
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resource = None
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def _rss_peak_mb():
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"""进程峰值 RSS(MB)。Linux 走 ru_maxrss(KB);Windows dev 返 None(降级)。"""
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if resource is None:
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return None
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return resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1024
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def _range_cutoff(now: datetime, range_key: str):
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"""时间筛选 → cutoff datetime(或 None=全部)。range_key: all / 7d / 30d。"""
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if range_key == "7d":
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return now - timedelta(days=7)
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if range_key == "30d":
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return now - timedelta(days=30)
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return None # all / 未知 → 不筛
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def _runtime_section(app: FastAPI) -> dict:
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"""实时运行态:从 app.state 读内存,无 DB。
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active_runs 逼近 max_workers 即线程池排队(新 run 的 SSE 会卡)—— 前端据此变色。
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"""
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inflight = getattr(app.state, "inflight", None)
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active = len(inflight) if inflight is not None else 0
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max_workers = getattr(app.state, "run_max_workers", None)
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return {
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"active_runs": active,
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"max_workers": max_workers,
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"sse_subs": broker.total_subscribers(),
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"rss_peak_mb": _rss_peak_mb(),
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}
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def _tasks_section(s: Any) -> dict:
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"""task 计数:总数 + 按 status + 按 run_status 分布。"""
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total = s.execute(select(func.count()).select_from(Task)).scalar_one()
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by_status = {
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st: n
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for st, n in s.execute(
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select(Task.status, func.count()).group_by(Task.status)
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).all()
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}
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by_run_status = {
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st: n
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for st, n in s.execute(
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select(Task.run_status, func.count()).group_by(Task.run_status)
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).all()
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}
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return {"total": total, "by_status": by_status, "by_run_status": by_run_status}
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def _users_section(s: Any, cutoff_7d: datetime) -> dict:
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"""用户:总数 + 近 7d 有用量事件的活跃用户数。"""
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total = s.execute(select(func.count()).select_from(User)).scalar_one()
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active_7d = s.execute(
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select(func.count(func.distinct(UsageEvent.user_id))).where(
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UsageEvent.created_at >= cutoff_7d
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)
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).scalar_one()
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return {"total": total, "active_7d": active_7d}
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def _usage_section(s: Any, cutoff_7d: datetime) -> dict:
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"""token / 成本聚合(放进 overview,固定形态):全局合计(all-time)+ 近 7d 按天趋势。
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按模型 / 各用户用量已拆成独立带筛选排序的端点(_models_usage / _user_usage_page),
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不在此 bundle。chat token 取自 usage_events.units JSONB;cost_cny 全 kind 合计。
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"""
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chat = UsageEvent.kind == "chat"
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tin = cast(UsageEvent.units["tokens_in"].astext, BigInteger)
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tout = cast(UsageEvent.units["tokens_out"].astext, BigInteger)
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hit = cast(UsageEvent.units["cache_hit_tokens"].astext, BigInteger)
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# 全局合计(all-time)
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g = s.execute(
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select(
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func.coalesce(func.sum(UsageEvent.cost_cny), 0),
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func.coalesce(func.sum(tin).filter(chat), 0),
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func.coalesce(func.sum(tout).filter(chat), 0),
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func.coalesce(func.sum(hit).filter(chat), 0),
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func.count(),
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)
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).one()
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total = {
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"cost_cny": float(g[0] or 0),
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"tokens_in": int(g[1] or 0),
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"tokens_out": int(g[2] or 0),
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"tokens_cache_hit": int(g[3] or 0),
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"n_events": int(g[4] or 0),
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}
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# 近 7d 按天(date 截断;前端画成条/数字均可)
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day = func.date(UsageEvent.created_at)
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by_day = [
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{
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"date": str(d),
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"cost_cny": float(c or 0),
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"tokens_in": int(ti or 0),
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"tokens_out": int(to or 0),
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}
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for d, c, ti, to in s.execute(
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select(
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day,
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func.coalesce(func.sum(UsageEvent.cost_cny), 0),
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func.coalesce(func.sum(tin).filter(chat), 0),
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func.coalesce(func.sum(tout).filter(chat), 0),
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)
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.where(UsageEvent.created_at >= cutoff_7d)
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.group_by(day)
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.order_by(day)
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).all()
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]
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return {"total": total, "by_day_7d": by_day}
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def _models_usage(s: Any, cutoff, sort: str) -> list:
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"""按模型用量(支持时间筛选 + 排序)。sort: cost(按成本)/ tokens(按用量=输入+输出)。
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cutoff=None 即全部;cost 全 kind 合计,token 仅 chat。模型集合从 usage_events 现取
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(无"全模型"基线),故时间条件直接进 WHERE。
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"""
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chat = UsageEvent.kind == "chat"
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tin = cast(UsageEvent.units["tokens_in"].astext, BigInteger)
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tout = cast(UsageEvent.units["tokens_out"].astext, BigInteger)
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cost_sum = func.coalesce(func.sum(UsageEvent.cost_cny), 0)
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tin_sum = func.coalesce(func.sum(tin).filter(chat), 0)
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tout_sum = func.coalesce(func.sum(tout).filter(chat), 0)
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order = (tin_sum + tout_sum).desc() if sort == "tokens" else cost_sum.desc()
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q = select(
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UsageEvent.model_profile, cost_sum, tin_sum, tout_sum, func.count(),
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)
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if cutoff is not None:
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q = q.where(UsageEvent.created_at >= cutoff)
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q = q.group_by(UsageEvent.model_profile).order_by(order, UsageEvent.model_profile)
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return [
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{
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"model_profile": mp,
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"cost_cny": float(c or 0),
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"tokens_in": int(ti or 0),
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"tokens_out": int(to or 0),
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"n_events": int(n or 0),
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}
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for mp, c, ti, to, n in s.execute(q).all()
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]
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def _user_usage_page(s: Any, page: int, page_size: int, cutoff, sort: str) -> dict:
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"""分页的各用户 token 用量(时间筛选 + 排序),含零用量用户(LEFT JOIN users)。
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`各用户` 取自 users 全表 LEFT JOIN usage_events,故没产生过用量的用户也出现(0);
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时间筛选放 JOIN ON(非 WHERE),否则带 cutoff 时会把零用量用户挤掉。
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sort: cost(按成本)/ tokens(按用量=输入+输出);+ user_id 兜底稳定分页。
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cost 全 kind 合计;token/cache_hit 仅 chat。返回 {page, page_size, total_users, rows}。
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"""
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chat = UsageEvent.kind == "chat"
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tin = cast(UsageEvent.units["tokens_in"].astext, BigInteger)
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tout = cast(UsageEvent.units["tokens_out"].astext, BigInteger)
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hit = cast(UsageEvent.units["cache_hit_tokens"].astext, BigInteger)
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cost_sum = func.coalesce(func.sum(UsageEvent.cost_cny), 0)
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tin_sum = func.coalesce(func.sum(tin).filter(chat), 0)
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tout_sum = func.coalesce(func.sum(tout).filter(chat), 0)
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order = (tin_sum + tout_sum).desc() if sort == "tokens" else cost_sum.desc()
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join_cond = UsageEvent.user_id == User.user_id
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if cutoff is not None:
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join_cond = and_(join_cond, UsageEvent.created_at >= cutoff)
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total_users = s.execute(select(func.count()).select_from(User)).scalar_one()
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rows = [
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{
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"user_id": str(uid),
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"email": email or "",
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"name": name or "",
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"user_name": uname or "",
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"role": role or "user",
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"cost_cny": float(c or 0),
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"tokens_in": int(ti or 0),
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"tokens_out": int(to or 0),
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"tokens_cache_hit": int(h or 0),
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"n_events": int(n or 0),
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}
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for uid, email, name, uname, role, c, ti, to, h, n in s.execute(
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select(
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User.user_id, User.email, User.name, User.user_name, User.role,
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cost_sum, tin_sum, tout_sum,
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func.coalesce(func.sum(hit).filter(chat), 0),
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func.count(UsageEvent.event_id),
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)
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.join(UsageEvent, join_cond, isouter=True)
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.group_by(User.user_id, User.email, User.name, User.user_name, User.role)
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.order_by(order, User.user_id)
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.limit(page_size)
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.offset(page * page_size)
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).all()
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]
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return {"page": page, "page_size": page_size, "total_users": total_users, "rows": rows}
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def _storage_page(s: Any, page: int, page_size: int) -> dict:
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"""分页的各用户磁盘用量(bytes desc + user_id 兜底);附 per-user 配额。
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数据源 user_disk_usage(后台扫描快照,只含扫过的用户);total 为该表行数。
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"""
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from core.agent_builder import load_config
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from core.storage.disk_quota import parse_bytes
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quota = parse_bytes((load_config().get("quotas") or {}).get("disk_bytes_per_user"))
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total = s.execute(select(func.count()).select_from(UserDiskUsage)).scalar_one()
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rows = [
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{
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"user_id": str(uid),
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"email": email or "",
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"name": name or "",
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"user_name": uname or "",
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"bytes_used": int(b or 0),
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"file_count": int(fc or 0),
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"scanned_at": scanned.isoformat() if scanned else None,
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}
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for uid, email, name, uname, b, fc, scanned in s.execute(
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select(
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UserDiskUsage.user_id,
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User.email,
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User.name,
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User.user_name,
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UserDiskUsage.bytes_used,
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UserDiskUsage.file_count,
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UserDiskUsage.scanned_at,
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)
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.join(User, User.user_id == UserDiskUsage.user_id, isouter=True)
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.order_by(UserDiskUsage.bytes_used.desc(), UserDiskUsage.user_id)
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.limit(page_size)
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.offset(page * page_size)
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).all()
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]
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return {
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"page": page, "page_size": page_size, "total": total,
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"quota_bytes": quota, "rows": rows,
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}
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def register_admin_routes(app: FastAPI, require_admin) -> None:
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"""把 /v1/admin/* 管理路由挂到 app 上,整组走 require_admin gate。"""
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@app.get("/v1/admin/overview", tags=["admin"])
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def admin_overview(user_id: UUID = Depends(require_admin)):
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"""管理总览(固定形态,供轮询):runtime/tasks/users/usage 总用量+近7d趋势。admin-only。
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按模型 / 各用户用量 / 存储 是带筛选/分页的独立端点,不在此 bundle。
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"""
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now = datetime.now(timezone.utc)
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cutoff_7d = now - timedelta(days=7)
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with session_scope() as s:
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return {
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"generated_at": now.isoformat(),
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"runtime": _runtime_section(app),
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"tasks": _tasks_section(s),
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"users": _users_section(s, cutoff_7d),
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"usage": _usage_section(s, cutoff_7d),
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}
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@app.get("/v1/admin/usage/models", tags=["admin"])
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def admin_usage_models(
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range: str = "all", sort: str = "cost", user_id: UUID = Depends(require_admin)
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):
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"""按模型用量。range: all/7d/30d;sort: cost/tokens。admin-only。"""
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now = datetime.now(timezone.utc)
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with session_scope() as s:
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return {
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"range": range, "sort": sort,
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"rows": _models_usage(s, _range_cutoff(now, range), sort),
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}
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@app.get("/v1/admin/usage/users", tags=["admin"])
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def admin_usage_users(
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page: int = 0, page_size: int = 20, range: str = "all", sort: str = "cost",
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user_id: UUID = Depends(require_admin),
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):
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"""各用户 token 用量(分页 + 时间筛选 + 排序)。admin-only。
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page 0-based;page_size 夹到 [1,100];range all/7d/30d;sort cost/tokens。
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含零用量用户(全表 LEFT JOIN);总用量在 overview.usage.total。
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"""
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page = max(0, page)
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page_size = min(100, max(1, page_size))
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now = datetime.now(timezone.utc)
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with session_scope() as s:
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d = _user_usage_page(s, page, page_size, _range_cutoff(now, range), sort)
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d["range"] = range
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d["sort"] = sort
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return d
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@app.get("/v1/admin/storage/users", tags=["admin"])
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def admin_storage_users(
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page: int = 0, page_size: int = 20, user_id: UUID = Depends(require_admin)
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):
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"""各用户磁盘用量(分页,bytes desc)。admin-only。page 0-based;page_size [1,100]。"""
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page = max(0, page)
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page_size = min(100, max(1, page_size))
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with session_scope() as s:
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return _storage_page(s, page, page_size)
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