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Aether/_deprecated_py_src/api/admin/stats/performance.py

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"""Admin performance stats routes."""
from __future__ import annotations
from datetime import date, timezone
from typing import Any
from fastapi import APIRouter, Depends, Query, Request
from sqlalchemy.orm import Session
from src.api.base.admin_adapter import AdminApiAdapter
from src.api.base.context import ApiRequestContext
from src.config.constants import CacheTTL
from src.database import get_db
from src.models.database import StatsDaily
from src.services.system.stats_aggregator import StatsAggregatorService
from src.services.system.time_range import TimeRangeParams
from src.utils.cache_decorator import cache_result
from .common import _apply_admin_default_range, _build_time_range_params, pipeline
router = APIRouter()
class AdminPercentilesAdapter(AdminApiAdapter):
def __init__(self, time_range: TimeRangeParams | None) -> None:
self.time_range = _apply_admin_default_range(time_range)
@cache_result(
key_prefix="admin:stats:performance:percentiles",
ttl=CacheTTL.ADMIN_USAGE_AGGREGATION,
user_specific=False,
vary_by=[
"time_range.start_date",
"time_range.end_date",
"time_range.preset",
"time_range.timezone",
"time_range.tz_offset_minutes",
],
)
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
if not self.time_range:
return []
time_range = self.time_range
is_utc = (time_range.timezone in {None, "UTC"}) and time_range.tz_offset_minutes == 0
if is_utc:
start_utc, end_utc = time_range.to_utc_datetime_range()
rows = (
context.db.query(StatsDaily)
.filter(StatsDaily.date >= start_utc, StatsDaily.date < end_utc)
.order_by(StatsDaily.date.asc())
.all()
)
result = []
for row in rows:
date_str = (
row.date.astimezone(timezone.utc).date().isoformat()
if row.date.tzinfo
else row.date.date().isoformat()
)
result.append(
{
"date": date_str,
"p50_response_time_ms": row.p50_response_time_ms,
"p90_response_time_ms": row.p90_response_time_ms,
"p99_response_time_ms": row.p99_response_time_ms,
"p50_first_byte_time_ms": row.p50_first_byte_time_ms,
"p90_first_byte_time_ms": row.p90_first_byte_time_ms,
"p99_first_byte_time_ms": row.p99_first_byte_time_ms,
}
)
return result
perf: 优化请求鉴权链路并批量化统计/调度查询 - 为 Pipeline/Context 增加按需读取请求体能力,支持 async 懒加载 JSON body - 为 chat/cli/video/claude/openai-cli 适配器关闭默认预读,减少无效 body 读取与超时风险 - 将本地登录、JWT 用户加载、API Key 鉴权迁移到线程池隔离会话执行,避免阻塞事件循环 - 为 API Key 鉴权返回结构化余额结果,并在主请求会话中重新绑定 user/api_key 后再校验状态、过期和锁定信息 - 为 management/user token 前缀认证引入独立会话与结果回绑,避免跨会话对象写入失效 - 为 Usage 余额检查补充结构化返回,统一透出 remaining 与欠费/不可用文案映射 - 为用户与管理端活跃请求查询增加 maintain_status 开关,避免轮询指定 id 时误触发状态修复 - 重写 user_me usage 汇总逻辑,支持 group_by=None 的粗粒度聚合 - 修正 provider 维度成功率与平均响应时间统计,基于 success_count 和成功响应耗时汇总计算 - 前端 Usage 轮询由 setInterval 改为串行 setTimeout,避免并发轮询叠加 - 为 StatsAggregator 增加按本地日期批量计算百分位能力,替代逐天 fan-out 查询 - 为混合统计查询合并连续实时日期区间,并批量读取 StatsDaily,减少逐日查询次数 - 为用户日统计增加批量聚合入口,替代逐用户循环聚合 - 为系统配置导出改用 selectinload 预加载 provider 关联数据,减少 N+1 查询 - 为管理员用户列表增加钱包批量查询,避免逐用户回表 - 为调度器增加 provider 轻量引用预过滤,先按 allowed_providers 缩小范围再加载完整 provider 图 - 为 CandidateBuilder 增加 provider refs/provider_ids 查询能力,保留分页顺序 - 为模型缓存增加 provider_model_mappings 索引缓存与 model_mappings 规则缓存,减少重复全量扫描 - 为请求候选中间态改为 flush/batch commit,降低 pending/streaming 状态切换的事务往返 - 为钱包访问结果补充 balance_snapshot,并抽取余额快照复用逻辑 - 补充 pipeline、auth、admin users、user_me usage、stats aggregator、model cache、 scheduler、wallet、request candidate 等回归与契约测试
2026-03-09 22:57:23 +08:00
return StatsAggregatorService.compute_percentiles_by_local_day(context.db, time_range)
@router.get("/performance/percentiles")
async def get_percentiles(
request: Request,
db: Session = Depends(get_db),
start_date: date | None = Query(None),
end_date: date | None = Query(None),
preset: str | None = Query(None),
timezone_name: str | None = Query(None, alias="timezone"),
tz_offset_minutes: int | None = Query(0),
) -> Any:
time_range = _build_time_range_params(
start_date, end_date, preset, timezone_name, tz_offset_minutes
)
adapter = AdminPercentilesAdapter(time_range=time_range)
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)