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- 删除全部 Python 源码 (src/) 及 Alembic 迁移脚本,归档至 _deprecated_py_src/ - 重构 Rust gateway ai_pipeline: 拆分 planner/finalize 模块,新增 contracts/adaptation 层 - 重组 handlers 模块为 admin/public/proxy/internal/shared 子模块结构 - 新增 executor 模块,引入 Rust 原生数据库迁移 (aether-data/migrations) - 简化 CI/Docker 构建流程,移除 base image 二级构建,统一为单一 app image - 移除 Python 相关基础设施文件 (entrypoint.sh, gunicorn_conf.py, Dockerfile.base)
126 lines
4.7 KiB
Python
126 lines
4.7 KiB
Python
"""Admin error stats routes."""
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from __future__ import annotations
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from datetime import date, timezone
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from typing import Any
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from fastapi import APIRouter, Depends, Query, Request
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from sqlalchemy import func
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from sqlalchemy.orm import Session
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from src.api.base.admin_adapter import AdminApiAdapter
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from src.api.base.context import ApiRequestContext
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from src.config.constants import CacheTTL
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from src.database import get_db
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from src.models.database import StatsDailyError, Usage
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from src.services.system.time_range import TimeRangeParams
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from src.utils.cache_decorator import cache_result
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from .common import _apply_admin_default_range, _build_time_range_params, pipeline
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router = APIRouter()
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class AdminErrorDistributionAdapter(AdminApiAdapter):
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def __init__(self, time_range: TimeRangeParams | None) -> None:
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self.time_range = _apply_admin_default_range(time_range)
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@cache_result(
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key_prefix="admin:stats:errors:distribution",
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ttl=CacheTTL.ADMIN_USAGE_AGGREGATION,
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user_specific=False,
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vary_by=[
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"time_range.start_date",
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"time_range.end_date",
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"time_range.preset",
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"time_range.timezone",
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"time_range.tz_offset_minutes",
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],
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)
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async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
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if not self.time_range:
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return {"distribution": [], "trend": []}
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time_range = self.time_range
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is_utc = (time_range.timezone in {None, "UTC"}) and time_range.tz_offset_minutes == 0
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distribution: dict[str, int] = {}
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trend: dict[str, dict[str, int]] = {}
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if is_utc:
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start_utc, end_utc = time_range.to_utc_datetime_range()
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rows = (
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context.db.query(StatsDailyError)
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.filter(StatsDailyError.date >= start_utc, StatsDailyError.date < end_utc)
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.all()
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)
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for row in rows:
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date_str = (
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row.date.astimezone(timezone.utc).date().isoformat()
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if row.date.tzinfo
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else row.date.date().isoformat()
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)
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distribution[row.error_category] = distribution.get(row.error_category, 0) + int(
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row.count or 0
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)
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trend.setdefault(date_str, {})
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trend[date_str][row.error_category] = trend[date_str].get(
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row.error_category, 0
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) + int(row.count or 0)
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else:
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for local_date, day_start_utc, day_end_utc in time_range.get_local_day_hours():
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rows = (
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context.db.query(
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Usage.error_category,
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func.count(Usage.id).label("count"),
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)
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.filter(
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Usage.created_at >= day_start_utc,
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Usage.created_at < day_end_utc,
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Usage.error_category.isnot(None),
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)
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.group_by(Usage.error_category)
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.all()
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)
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date_str = local_date.isoformat()
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for row in rows:
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distribution[row.error_category] = distribution.get(
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row.error_category, 0
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) + int(row.count or 0)
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trend.setdefault(date_str, {})
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trend[date_str][row.error_category] = trend[date_str].get(
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row.error_category, 0
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) + int(row.count or 0)
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trend_items = []
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for day in sorted(trend.keys()):
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counts = trend[day]
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total = sum(counts.values())
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trend_items.append({"date": day, "total": total, "categories": counts})
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distribution_items = [
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{"category": category, "count": count}
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for category, count in sorted(
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distribution.items(), key=lambda item: item[1], reverse=True
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)
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]
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return {"distribution": distribution_items, "trend": trend_items}
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@router.get("/errors/distribution")
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async def get_error_distribution(
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request: Request,
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db: Session = Depends(get_db),
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start_date: date | None = Query(None),
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end_date: date | None = Query(None),
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preset: str | None = Query(None),
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timezone_name: str | None = Query(None, alias="timezone"),
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tz_offset_minutes: int | None = Query(0),
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) -> Any:
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time_range = _build_time_range_params(
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start_date, end_date, preset, timezone_name, tz_offset_minutes
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)
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adapter = AdminErrorDistributionAdapter(time_range=time_range)
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return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
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