perf: 全栈查询优化、前端缓存去重与页面可见性优化

后端:
- SQL count 查询统一改用 func.count() 子查询替代 query.count()
- Dashboard/Audit 等页面多次独立查询合并为单次聚合查询
- Provider summary 列表改为批量查询消除 N+1 问题
- DailyStats 逐天循环查询改为 CASE 分桶单次查询
- 使用 load_only() 减少不必要的列加载
- cache_decorator 支持嵌套属性路径解析(dotted vary_by)
- 多个管理/公共端点新增 @cache_result 缓存装饰

前端:
- cache.ts 新增 in-flight 请求复用、dedupedRequest、buildCacheKey
- 大量 API 调用添加前端缓存或去重
- 多个页面定时器在标签页隐藏时暂停、可见时恢复
- Auth 检查从 setInterval 改为 storage + visibilitychange 事件驱动
- 请求竞态防护(requestId 模式)

数据库:
- Usage 表新增 idx_usage_status_user_created 复合索引
This commit is contained in:
fawney19
2026-03-03 22:04:40 +08:00
parent 0a60492146
commit 97b0146ce9
66 changed files with 2306 additions and 657 deletions

View File

@@ -0,0 +1,45 @@
"""add_idx_usage_status_user_created
Add composite index on usage(status, user_id, created_at) to speed up
interval timeline and active usage analytics queries.
Revision ID: 5f1d2e3c4b5a
Revises: 0ba031f328de
Create Date: 2026-03-03 17:30:00.000000+00:00
"""
from __future__ import annotations
import sqlalchemy as sa
from alembic import op
revision = "5f1d2e3c4b5a"
down_revision = "0ba031f328de"
branch_labels = None
depends_on = None
INDEX_NAME = "idx_usage_status_user_created"
TABLE = "usage"
COLUMNS = ["status", "user_id", "created_at"]
def upgrade() -> None:
bind = op.get_bind()
result = bind.execute(
sa.text("SELECT 1 FROM pg_indexes WHERE indexname = :name"),
{"name": INDEX_NAME},
).fetchone()
if result:
return
op.create_index(INDEX_NAME, TABLE, COLUMNS)
def downgrade() -> None:
bind = op.get_bind()
result = bind.execute(
sa.text("SELECT 1 FROM pg_indexes WHERE indexname = :name"),
{"name": INDEX_NAME},
).fetchone()
if not result:
return
op.drop_index(INDEX_NAME, table_name=TABLE)