Author SHA1 Message Date
Zhou Weidong 8a5a381b44 feat(catalog): 新增分类推荐榜快照接口
backend-ci / test (push) Failing after 4m45s
2026-11-02 14:45:43 +08:00
jianghaifeng afd8d00752 feat(catalog): 卡片下发完整简介不再截断
backend-ci / test (push) Canceled after 0s
2026-10-30 22:53:22 +08:00
jianghaifeng 958de5ef22 feat(config): /app/config 下发登录页背景地址
backend-ci / test (push) Canceled after 0s
2026-10-30 17:14:46 +08:00
jianghaifeng f2103f6604 feat(cover): 短剧新增横版封面字段并在进度接口下发
backend-ci / test (push) Canceled after 0s
- Drama/DramaSaveReqVO/DramaRespVO 新增 horizontalCover,打通后台上传链路
- AppDramaCardVO/AppDramaDetailVO 新增 coverLandscape
- ProgressRespVO 新增 dramaCoverLandscape,继续观看横幅可直接取横版图
2026-10-29 17:32:49 +08:00
jianghaifeng 0d4d510aee feat(content): 标签增加语义码并随卡片下发
backend-ci / test (push) Canceled after 0s
标签名称会随语言和运营文案变化,客户端按名称判断板块(如推荐页「上新」
横滑)一改名就失效。content_tag 新增 code 列并在后台维护,
卡片与详情以 tagCode 下发,已有「上新 / 热剧 / 新剧 / 热播」一并回填。
2026-10-29 15:45:34 +08:00
Zhou Weidong 4d796089a0 ops(grafana): 告警规则入库(服务下线/响应慢/磁盘满)
backend-ci / test (push) Failing after 4m38s
2026-10-29 10:53:07 +08:00
Zhou Weidong f71498339c ci: 新增 Gitea Actions 流水线(测试/分析/构建门禁)
backend-ci / test (push) Failing after 7m31s
2026-10-29 10:47:44 +08:00
Zhou Weidong e4fe82283c docs: 更新第一阶段进度表与尚未完成清单(C2/C3 标记已实现) 2026-10-29 10:47:44 +08:00
Zhou Weidong 26102332ac fix(deploy): 看门狗改由用户会话任务启动 Docker Desktop
以 SYSTEM 身份直接 Start-Process Docker Desktop.exe 会命中 WSL_E_LOCAL_SYSTEM_NOT_SUPPORTED,把 docker-desktop 发行版搞成僵死状态(VHD 已挂载无法终止),导致登录用户自己也起不来。改为触发以登录用户身份运行的 FruitShorts-DockerDesktop 计划任务(先停再起,规避 IgnoreNew)。
2026-10-29 10:11:02 +08:00
Zhou Weidong aa5954ef6a chore(merge): 合并 main 的印尼语敏感词库种子到 develop 2026-10-29 09:21:19 +08:00
Zhou Weidong 963bf5c0da test(playback): 补充合并预写缓冲与迟到条目丢弃用例 2026-10-28 19:02:33 +08:00
Zhou Weidong a71d2701d1 fix(playback): 登录合并前预写设备缓冲,迟到条目不得复活已删记录
- 新增 flushIdentity:把某身份缓冲里未落库的进度立即写进权威表;
  mergeDeviceIntoUser 先调用它再扫库,否则登录前 2 秒内的上报会被漏掉,
  稍后落库还会生成一条登录用户看不到的匿名孤儿行;合并完清掉设备侧缓冲。
- planOne 增加判定:逻辑删除会刷新 updated_at,上报时间不晚于它的条目直接丢弃,
  防止删除瞬间已 drain 的在途引用把 deleted 写回 0。
- 去掉 save(Long userId, ...) 上多余的 @Transactional(缓冲路径白开事务)。
2026-10-28 19:02:32 +08:00
Zhou Weidong 025fbe73f0 perf(playback): 上报改用 Lua 单次往返写入缓冲
原先 HSET、EXPIRE、LPUSH、LTRIM 分四次往返,进程若死在写状态与入队之间,
该剧进度只留在 HASH 里永远不落库、12 小时后被 TTL 清掉。合并成一个脚本后
热路径只需 1 次往返,脚本顺带返回 HLEN 是否超 30 决定要不要补裁剪。
2026-10-28 19:02:32 +08:00
Zhou Weidong 0d161f318f chore(merge): 合并 origin/develop 的看门狗周期巡检与 admin-api Redis 配置
watchdog.ps1 冲突取本地实现:计数落盘用 Import/Export 函数,另含 Webhook
三级兜底与告警节流,为远程内联版本的超集。
2026-10-28 18:53:11 +08:00
Zhou Weidong 2eac1fe31d test(playback): 补充缓冲删除双写、已删剧不读回与失效条目丢弃用例 2026-10-28 18:51:52 +08:00
Zhou Weidong 09b0f89e8d fix(deploy): 看门狗失败计数落盘并补齐告警 Webhook 兜底
计划任务每 2 分钟起新进程,进程内计数永远到不了阈值,告警静默哑火;计数改
JSON 落盘跨进程累加,达阈值后只在首达与每 30 轮提醒。Webhook 支持参数、环境
变量、deploy/feishu-webhook.txt 三级兜底,密钥文件不入库。
2026-10-28 18:51:52 +08:00
Zhou Weidong 8fb1f52777 fix(config): 调度线程池扩到 4 条,避免落库与其它定时任务互相排队 2026-10-28 18:51:52 +08:00
Zhou Weidong 44b7abcd0f fix(playback): 删除观看历史时同步清理进度缓冲
缓冲已是读接口的权威来源,只删库行会被读覆盖层读回、并被下一次落库把行复活。
缓冲补 remove/clear(HDEL/DEL),删除路径先清缓冲再删库行,读覆盖层按库行
deleted 过滤;落库时缓冲状态已失效的条目直接丢弃,不再整批退回队列。
2026-10-28 18:51:52 +08:00
Zhou Weidong 181b338780 fix(ops): 修复管理端 Redis 未配置与看门狗未真正周期巡检
- admin-api 的 application.yml 缺少 spring.data.redis 配置,容器内默认连
  127.0.0.1 导致 /actuator/health 返回 DOWN(redis 组件不可用);
  补齐后与 app-api 共用 REDIS_HOST/REDIS_PORT,健康检查恢复 UP
- 计划任务原先用 BootTrigger 挂 Repetition,Windows 不生效(Next Run Time
  为 N/A,9 小时只跑过一次),看门狗形同虚设;改为 TimeTrigger + PT2M
  无限重复 + StartWhenAvailable,实测每 2 分钟稳定巡检
- watchdog.ps1 的连续失败计数改为落盘 watchdog-state.json,避免每轮进程
  重启后清零导致「连续 3 次失败告警」永不触发
2026-10-28 18:23:48 +08:00
Zhou Weidong 657190d5a8 chore(deploy): 加入服务看门狗脚本与 Windows 计划任务注册文件
- watchdog.ps1:每 2 分钟健康检查,Docker/DB/Redis/API/Grafana 任一
  不健康自动重启,连续 3 次失败发飞书告警,C 盘超 85% 也告警
- backend-watchdog-task.xml:开机触发、2 分钟循环的计划任务配置
2026-10-28 15:00:58 +08:00
Zhou Weidong 3e2d6a06d9 perf(playback): 观看进度上报异步化(Redis write-behind 批量落库)
- POST /app/watch/progress 只写 Redis 缓冲立即返回(p95 75ms→2ms),
  WatchProgressFlusher 每 2s 把 watch:pg:dirty 队列按身份合并批量 UPSERT,
  Redis 异常自动回退同步写库,接口契约不变
- 读接口用缓冲覆盖 DB 行保证读己之写;Caffeine 缓存剧集校验免去上报路径两条 DB 查询
- 落库按「新增进度/新增流水/更新行」分组攒批(MyBatis BATCH 只合并连续同形状语句),
  配合 reWriteBatchedInserts 多值 INSERT,12.4 万积压 45 秒消化完,
  1650 QPS 持续压测队列稳态归零
2026-10-28 14:59:09 +08:00
Zhou Weidong fc9e429187 feat(monitoring): 接入 Loki + Promtail 日志采集,Grafana 可直接搜索容器日志 2026-10-28 10:38:41 +08:00
Zhou Weidong 5d139783c9 fix(media): 缩略图唯一索引改为部分索引,避免软删行占用 episode_id 导致登记冲突 2026-10-27 21:07:10 +08:00
Zhou Weidong ddd2406f32 fix(build): Docker 构建阶段固定阿里云 Maven 中央镜像
容器内从 Maven Central 拉依赖时 maven-filtering:3.3.1 解析失败,
且 dependency:go-offline 被 || true 静默吞掉,导致发布时才暴露。
构建阶段写入 settings.xml 走阿里云 central 镜像,并让 go-offline 失败即中断。
2026-10-27 20:14:19 +08:00
Zhou Weidong 6abb09e5c2 chore(merge): 将 release/v1.0.0 同步到 main 2026-10-23 13:07:42 +08:00
Zhou Weidong 8b37e23951 feat: 印尼语敏感词库种子数据(id-ID 增量补全 78 词) 2026-10-19 18:43:01 +08:00
59 changed files with 2701 additions and 103 deletions

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@@ -0,0 +1,25 @@
# Author: fruit.com.cn
# FruitServer 后端 CI:编译 + 测试门禁
name: backend-ci
on:
push:
branches: [develop, main]
pull_request:
branches: [develop, main]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-java@v4
with:
distribution: temurin
java-version: "21"
cache: maven
- name: 编译 + 单测
run: mvn -B -T 1C test -DfailIfNoTests=false
- name: 打包(跳过测试)
if: success()
run: mvn -B package -DskipTests -q
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@@ -20,3 +20,6 @@ data/uploads/*
# 部署用的真实环境变量(含密钥),只提交 .env.example
.env
dump.rdb
# 看门狗飞书告警 Webhook,只存在于部署机
deploy/feishu-webhook.txt
+15 -1
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@@ -15,6 +15,20 @@
FROM maven:3.9-eclipse-temurin-21 AS build
WORKDIR /build
# Maven Central 在国内网络下拉依赖不稳定(构建时曾出现 maven-filtering:3.3.1 解析失败),
# 构建阶段固定走阿里云 central 镜像;其它仓库仍直连。
RUN mkdir -p /root/.m2 \
&& printf '%s\n' \
'<settings xmlns="http://maven.apache.org/SETTINGS/1.0.0">' \
' <mirrors>' \
' <mirror>' \
' <id>aliyun-central</id>' \
' <mirrorOf>central</mirrorOf>' \
' <url>https://maven.aliyun.com/repository/central</url>' \
' </mirror>' \
' </mirrors>' \
'</settings>' > /root/.m2/settings.xml
# 先只拷各模块 pom 再拉依赖:依赖层可复用,改业务代码不会重新下载依赖
COPY pom.xml .
COPY fruitshorts-common/pom.xml fruitshorts-common/
@@ -30,7 +44,7 @@ COPY fruitshorts-module-creator/pom.xml fruitshorts-module-creator/
COPY fruitshorts-admin-api/pom.xml fruitshorts-admin-api/
COPY fruitshorts-app-api/pom.xml fruitshorts-app-api/
COPY fruitshorts-transcode-worker/pom.xml fruitshorts-transcode-worker/
RUN mvn -B -q -DskipTests dependency:go-offline || true
RUN mvn -B -q -DskipTests dependency:go-offline
COPY . .
ARG MODULE=fruitshorts-app-api
+10 -10
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@@ -191,7 +191,7 @@ java -jar fruitshorts-app-api/target/fruitshorts-app-api-1.0.0-SNAPSHOT.jar
## 第一阶段实现进度
> 最后更新:2026-10-16(后端 `develop` 分支 `4418a84`)。**未完成清单见文末「尚未完成」。**
> 最后更新:2026-10-24(拉取 `develop` 最新代码后)。**未完成清单见文末「尚未完成」。**
| 模块 | 状态 | 说明 |
| --- | --- | --- |
@@ -200,11 +200,11 @@ java -jar fruitshorts-app-api/target/fruitshorts-app-api-1.0.0-SNAPSHOT.jar
| 03 内容发现与详情 | 已实现 | 首页/发现/分类/详情;内容分级、可播区域、版权窗口、标签字段 |
| 04 播放器与播放控制 | 已实现 | 播放票据 + 签名地址 + 进度;多码率 HLS 由转码 worker 产出(见 10) |
| 05 记录、收藏与下载 | 已实现 | 进度、观看流水、收藏、离线下载授权与任务 |
| 06 评论、点赞与分享 | 已实现 | 评论(游标翻页/审核/删除)、点赞、举报、敏感词;**分享埋点待 C3** |
| 06 评论、点赞与分享 | 已实现 | 评论(游标翻页/审核/删除)、点赞、举报、敏感词、分享 |
| 07 创作者中心 | 已实现 | **在后台管理(Web 端 `ReelShortWeb`)**:工作台、内容编辑、分片上传与断点续传、提交审核与上下架、分集收费与试看、数据看板;不含提现/结算。**App 客户端不提供创作者中心**(口径 2026-10-16) |
| 08 平台运营后台 | 已实现 | 用户管理、内容治理、订单与权益、创作者与内容审核、数据看板 + 四个后台页面 |
| 09 分集收费与支付 | 部分 | **Google Play 票据校验闭环已实现**(校验→建单→发权益、幂等与防重放、恢复购买、退款拒付回收、对账);**Apple IAP 只留端口未实现**(印尼 iOS 占比低,文档口径为"预留") |
| 10 质量、数据与上线 | 部分 | **转码 worker(C1)已实现**;**Redis 缓存与限流(C2)、埋点(C3)、压测未做** |
| 10 质量、数据与上线 | 部分 | **转码 worker(C1)、Redis 缓存与限流(C2)、埋点(C3)均已实现**;**压测未做** |
### 已完成批次(按提交顺序)
@@ -426,18 +426,18 @@ public Result<Long> create(@Valid @RequestBody DramaCategorySaveReqVO req) { ...
## 尚未完成
> 最后更新:2026-10-16。完成后请同步本表与 [docs/api-phase1.md](docs/api-phase1.md)。
> 最后更新:2026-10-24。完成后请同步本表与 [docs/api-phase1.md](docs/api-phase1.md)。
### 一、后端研发(剩余)
> 已完成的项(不再列出):**C2 Redis 缓存与限流**(`framework/redis` 的 `RedisService` + `RateLimit` 切面)、**C3 埋点**(客户端埋点 SDK),均于 10-20 ~ 10-23 落地。
| # | 项 | 内容 | 依据 |
| --- | --- | --- | --- |
| 1 | **C2 Redis 缓存与限流** | 首页/发现/分类等热点接口缓存(Cache-Aside)+ 验证码/注册/登录限流;生产 Redis 规格 `4C16G 主从 2~3 哨兵` | 任务清单 C2、`17-风险评估` R-10、`10-安全方案` §三 |
| 2 | **C3 埋点** | 播放/支付/转化事件 + 数据字典对齐(含 06 的分享埋点) | 任务清单 C3、`api-phase1` §3 |
| 3 | **Apple IAP 票据校验** | 目前只留端口与枚举,未做真实校验(印尼 iOS 占比低,文档口径为"预留") | `api-phase1` §1.8 |
| 4 | **压测** | 目标 `P95 < 50ms`(预热后);容量口径文档里有两套("1 万并发"与"2 万并发 + 3000 QPS"),需定稿 | `09-测试计划` §五、`13/14-容量` |
| 5 | **对账数据源** | 结算金额/手续费/税只能从 Play Console 财务报告取(需报表权限);当前 `storeAmountSum` 恒为 `null` + `notes` 说明 | B1-2 待确认 |
| 6 | **退款口径完善** | 部分退款按比例回收、退款实时性(当前由每日对账 + 手动驱动,未接 RTDN 推送) | B1-2 待确认 |
| 1 | **Apple IAP 票据校验** | 目前只留端口与枚举,未做真实校验(印尼 iOS 占比低,文档口径为"预留") | `api-phase1` §1.8 |
| 2 | **压测** | 目标 `P95 < 50ms`(预热后);容量口径文档里有两套("1 万并发"与"2 万并发 + 3000 QPS"),需定稿 | `09-测试计划` §五、`13/14-容量` |
| 3 | **对账数据源** | 结算金额/手续费/税只能从 Play Console 财务报告取(需报表权限);当前 `storeAmountSum` 恒为 `null` + `notes` 说明 | B1-2 待确认 |
| 4 | **退款口径完善** | 部分退款按比例回收、退款实时性(当前由每日对账 + 手动驱动,未接 RTDN 推送) | B1-2 待确认 |
### 二、上线前必补(P0 / Go-No-Go:非研发,但阻塞上线)
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<?xml version="1.0" encoding="UTF-16"?>
<Task version="1.3" xmlns="http://schemas.microsoft.com/windows/2004/02/mit/task">
<RegistrationInfo>
<Description>FruitShorts backend watchdog: health check every 2 minutes and restart unhealthy services.</Description>
</RegistrationInfo>
<Principals>
<Principal id="Author">
<UserId>S-1-5-18</UserId>
<RunLevel>HighestAvailable</RunLevel>
</Principal>
</Principals>
<Settings>
<MultipleInstancesPolicy>IgnoreNew</MultipleInstancesPolicy>
<DisallowStartIfOnBatteries>false</DisallowStartIfOnBatteries>
<StopIfGoingOnBatteries>false</StopIfGoingOnBatteries>
<StartWhenAvailable>true</StartWhenAvailable>
<ExecutionTimeLimit>PT10M</ExecutionTimeLimit>
</Settings>
<Triggers>
<!-- BootTrigger 上挂 <Repetition> 在 Windows 计划任务里不生效(导入后 Next Run Time 为 N/A,
实际只在开机跑一次)。改成 TimeTrigger + 无限重复,配合 StartWhenAvailable
保证开机后若错过也会立即补跑;这样才真正做到每 2 分钟巡检一次。 -->
<TimeTrigger>
<StartBoundary>2026-01-01T00:00:00</StartBoundary>
<Repetition>
<Interval>PT2M</Interval>
<Duration>P3650D</Duration>
<StopAtDurationEnd>false</StopAtDurationEnd>
</Repetition>
</TimeTrigger>
</Triggers>
<Actions Context="Author">
<Exec>
<Command>powershell.exe</Command>
<Arguments>-NoProfile -ExecutionPolicy Bypass -File "C:\Users\Administrator\Desktop\ReelShorts\FruitServer\deploy\watchdog.ps1" -ComposeDir "C:\Users\Administrator\Desktop\ReelShorts\FruitServer" -LogDir "C:\Users\Administrator\Desktop\ReelShorts\FruitServer\logs"</Arguments>
</Exec>
</Actions>
</Task>
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@@ -0,0 +1,229 @@
# Author: fruit.com.cn
#
# 服务看门狗:每 2 分钟检查一次,挂了自动拉起,连续失败发飞书告警。
# 注册为 Windows 计划任务后无人值守运行。
param(
[string]$ComposeDir = "C:\FruitServer",
[string]$LogDir = "C:\FruitServer\logs",
[string]$FeishuWebhook = "",
[int]$MaxRestarts = 3,
[string]$FrontendTask = "FruitShorts-Web-3005"
)
$ErrorActionPreference = "Continue"
$ComposeFile = Join-Path $ComposeDir "docker-compose.yml"
$LogFile = Join-Path $LogDir "watchdog-$(Get-Date -Format 'yyyy-MM-dd').log"
# 连续失败计数落盘文件:计划任务每 2 分钟起一个新进程,计数只放进程内永远累积不到
# $MaxRestarts,告警会静默哑火。
$StateFile = Join-Path $LogDir "watchdog-state.json"
function Write-Log($msg) {
$line = "$(Get-Date -Format 'yyyy-MM-dd HH:mm:ss') $msg"
Add-Content -Path $LogFile -Value $line -ErrorAction SilentlyContinue
}
function Send-Alert($title, $msg) {
if (-not $FeishuWebhook) { return }
$body = @{
msg_type = "text"
content = @{ text = "[$title] $msg" }
} | ConvertTo-Json -Depth 3
try {
Invoke-RestMethod -Uri $FeishuWebhook -Method Post -Body $body -ContentType "application/json" -TimeoutSec 10
} catch {
Write-Log "飞书告警发送失败: $_"
}
}
# 连续失败计数的读写:JSON 落盘,跨进程保留
function Import-FailCounts {
$counts = @{}
if (-not (Test-Path $StateFile)) { return $counts }
try {
$saved = Get-Content -Path $StateFile -Raw | ConvertFrom-Json
foreach ($prop in $saved.PSObject.Properties) {
$counts[$prop.Name] = [int]$prop.Value
}
} catch {
Write-Log "看门狗计数文件解析失败,各服务按 0 重新计数: $_"
}
return $counts
}
function Export-FailCounts($counts) {
try {
$counts | ConvertTo-Json | Set-Content -Path $StateFile -Encoding UTF8
} catch {
Write-Log "看门狗计数文件写入失败: $_"
}
}
function Test-Docker {
docker info --format "{{.ServerVersion}}" 2>$null | Out-Null
return ($LASTEXITCODE -eq 0)
}
function Test-Http([string]$url) {
try {
$response = Invoke-WebRequest -Uri $url -TimeoutSec 10 -UseBasicParsing -ErrorAction Stop
return ($response.StatusCode -ge 200 -and $response.StatusCode -lt 400)
} catch {
return $false
}
}
function Test-Container([string]$container) {
$status = docker inspect -f "{{.State.Status}}" $container 2>$null
return ($status -eq "running")
}
function Invoke-Compose([string[]]$composeArgs) {
& docker compose -f $ComposeFile @composeArgs 2>&1 | Out-Null
return $LASTEXITCODE
}
# 确保日志目录存在
New-Item -ItemType Directory -Force -Path $LogDir | Out-Null
# 告警 Webhook:命令行参数 > 环境变量 > deploy 目录下的 feishu-webhook.txt。
# 计划任务注册命令里不写密钥(密钥不该进版本库),由部署机本地放文件或配环境变量。
if (-not $FeishuWebhook) { $FeishuWebhook = $env:FRUITSHORTS_FEISHU_WEBHOOK }
if (-not $FeishuWebhook) {
$webhookFile = Join-Path $PSScriptRoot "feishu-webhook.txt"
if (Test-Path $webhookFile) {
$FeishuWebhook = (Get-Content -Path $webhookFile -Raw -ErrorAction SilentlyContinue)
if ($FeishuWebhook) { $FeishuWebhook = $FeishuWebhook.Trim() }
}
}
if (-not $FeishuWebhook) {
Write-Log "未配置飞书 Webhook(参数/环境变量/feishu-webhook.txt 均为空),告警只写本地日志"
}
# Docker Desktop 登录后偶尔尚未就绪,先等待并尝试拉起。
# 注意:本脚本以 SYSTEM 身份运行,绝不能直接 Start-Process Docker Desktop.exe。
# WSL 不支持本地系统账户运行(WSL_E_LOCAL_SYSTEM_NOT_SUPPORTED),
# 以 SYSTEM 启动会把 docker-desktop 发行版搞成僵死状态(VHD 已挂载无法终止),
# 结果是登录用户会话里的 Docker Desktop 也永远起不来。
# 因此改为触发以登录用户身份运行的 FruitShorts-DockerDesktop 计划任务。
if (-not (Test-Docker)) {
Write-Log "Docker 未就绪,尝试通过用户会话启动 Docker Desktop"
$desktopTask = "FruitShorts-DockerDesktop"
try {
# Docker Desktop.exe 是任务进程树的一部分,GUI 活着时任务一直是 Running,
# 直接 Start-ScheduledTask 会被 IgnoreNew 忽略,所以先结束旧实例再拉起。
$t = Get-ScheduledTask -TaskName $desktopTask -ErrorAction Stop
if ($t.State -eq "Running") {
Stop-ScheduledTask -TaskName $desktopTask -ErrorAction SilentlyContinue
Start-Sleep -Seconds 5
}
Start-ScheduledTask -TaskName $desktopTask -ErrorAction Stop
} catch {
Write-Log "触发 Docker Desktop 启动任务失败: $_"
}
for ($i = 0; $i -lt 18; $i++) {
Start-Sleep -Seconds 5
if (Test-Docker) { break }
}
}
if (-not (Test-Docker)) {
Write-Log "Docker 在 90 秒内未就绪,跳过本轮检查"
Send-Alert "服务异常" "Docker Desktop 无法启动,请人工检查桌面机。"
exit 1
}
# 健康检查定义:名称 → 检查方式
$checks = @(
@{ Name = "app-api"; Type = "http"; Url = "http://127.0.0.1:8081/healthz"; Service = "app-api"; Container = "fruitshorts-app-api" },
@{ Name = "admin-api"; Type = "http"; Url = "http://127.0.0.1:8080/healthz"; Service = "admin-api"; Container = "fruitshorts-admin-api" },
@{ Name = "frontend"; Type = "frontend"; Url = "http://127.0.0.1:3005/dist-dev/" },
@{ Name = "Grafana"; Type = "http"; Url = "http://127.0.0.1:3000/api/health"; Service = "grafana"; Container = "fruitshorts-grafana" },
@{ Name = "PostgreSQL"; Type = "docker"; Service = "db"; Container = "fruitshorts-db" },
@{ Name = "Redis"; Type = "docker"; Service = "redis"; Container = "fruitshorts-redis" },
@{ Name = "Prometheus"; Type = "http"; Url = "http://127.0.0.1:9090/-/healthy"; Service = "prometheus"; Container = "fruitshorts-prometheus" }
)
# 跟踪每个服务的连续失败次数(跨进程从状态文件恢复)
$failCounts = Import-FailCounts
foreach ($check in $checks) {
$name = $check.Name
$healthy = $false
if ($check.Type -eq "http") {
$healthy = Test-Http $check.Url
} elseif ($check.Type -eq "frontend") {
$healthy = Test-Http $check.Url
} else {
$healthy = Test-Container $check.Container
}
if ($healthy) {
if ($failCounts[$name] -gt 0) {
Write-Log "$name 恢复正常(此前连续失败 $($failCounts[$name]) 次)"
Send-Alert "服务恢复" "$name 已恢复正常"
}
$failCounts[$name] = 0
} else {
if ($null -eq $failCounts[$name]) {
$failCounts[$name] = 0
}
$failCounts[$name] = $failCounts[$name] + 1
$count = $failCounts[$name]
Write-Log "$name 不健康(第 $count 次)"
if ($check.Type -eq "frontend") {
Write-Log "$name 重启计划任务 $FrontendTask"
Stop-ScheduledTask -TaskName $FrontendTask -ErrorAction SilentlyContinue
Start-Sleep -Seconds 2
Start-ScheduledTask -TaskName $FrontendTask -ErrorAction SilentlyContinue
Start-Sleep -Seconds 6
$healthy = Test-Http $check.Url
} elseif ($check.Type -eq "http") {
Write-Log "$name 重启 Compose 服务 $($check.Service)"
Invoke-Compose @("restart", $check.Service) | Out-Null
Start-Sleep -Seconds 12
$healthy = Test-Http $check.Url
if (-not $healthy) {
Write-Log "$name 重启后仍不健康,执行 compose up -d"
Invoke-Compose @("up", "-d", $check.Service) | Out-Null
}
} else {
Write-Log "$name 拉起容器 $($check.Container)"
docker start $check.Container 2>&1 | Out-Null
Start-Sleep -Seconds 5
$healthy = Test-Container $check.Container
if (-not $healthy) {
Write-Log "$name 启动失败,执行 compose up -d"
Invoke-Compose @("up", "-d", $check.Service) | Out-Null
}
}
# 连续失败达到上限 → 告警。计数会跨进程累积,所以只在首次达阈值和
# 之后每 30 轮(约 1 小时)提醒一次,避免每 2 分钟刷屏。
if (-not $healthy -and $count -ge $MaxRestarts -and
($count -eq $MaxRestarts -or $count % 30 -eq 0)) {
Send-Alert "服务异常" "$name 已连续 $count 次不健康,已尝试重启。请人工介入检查。"
Write-Log "$name 连续 $count 次失败,已发告警"
} elseif ($healthy) {
Write-Log "$name 已自动恢复"
}
}
}
# 磁盘检查:超过 85% 告警
$drive = (Get-PSDrive C -ErrorAction SilentlyContinue)
if ($drive) {
$pct = [math]::Round(($drive.Used / ($drive.Used + $drive.Free)) * 100)
if ($pct -gt 85) {
Write-Log "磁盘使用率 ${pct}%(超过 85%)"
Send-Alert "磁盘告警" "C 盘使用率 ${pct}%,请清理日志或扩容"
}
}
# 本轮结果落盘,供下一轮(2 分钟后的新进程)继续累加
Export-FailCounts $failCounts
+36 -2
View File
@@ -71,8 +71,10 @@ services:
env_file: .env
environment:
SERVER_PORT: "8081"
# 默认连编排里的 db;要连外部库就在 .env 里覆盖 DB_URL
DB_URL: ${DB_URL:-jdbc:postgresql://db:5432/${DB_NAME:-fruitshorts}}
# 默认连编排里的 db;要连外部库就在 .env 里覆盖 DB_URL。
# reWriteBatchedInserts=true:pgjdbc 把 JDBC 批内多条 INSERT 重写成多值
# INSERT,观看进度缓冲落库(watch:pg:dirty 消费任务)依赖它跑满吞吐。
DB_URL: ${DB_URL:-jdbc:postgresql://db:5432/${DB_NAME:-fruitshorts}?reWriteBatchedInserts=true}
# 限流/缓存用 Redis;容器内 127.0.0.1 是容器自身,必须指向编排里的 redis
REDIS_HOST: ${REDIS_HOST:-redis}
REDIS_PORT: ${REDIS_PORT:-6379}
@@ -197,9 +199,40 @@ services:
GF_SECURITY_ADMIN_USER: ${GRAFANA_ADMIN_USER:-admin}
GF_SECURITY_ADMIN_PASSWORD: ${GRAFANA_ADMIN_PASSWORD:?Grafana 管理员密码必填,见 .env.example}
GF_USERS_ALLOW_SIGN_UP: "false"
# 新用户默认界面语言:简体中文
GF_USERS_LANGUAGE: "zh-Hans"
TZ: Asia/Shanghai
depends_on:
- prometheus
- loki
# ─────────── 日志(Loki + Promtail)───────────
# Loki:日志存储与查询引擎;Promtail:采集容器 stdout/stderr 推给 Loki。
# Grafana 里通过 Loki 数据源可直接搜索/过滤各容器的请求日志。
loki:
image: grafana/loki:latest
container_name: fruitshorts-loki
restart: unless-stopped
command: -config.file=/etc/loki/local-config.yaml
volumes:
- ./loki-config.yml:/etc/loki/local-config.yaml:ro
- loki-data:/loki
expose:
- "3100"
# 镜像为 distroless(无 shell/wget),无法在容器内做 HTTP 探活;
# 靠 restart: unless-stopped 自动拉起,Grafana 数据源状态可反映可用性。
promtail:
image: grafana/promtail:latest
container_name: fruitshorts-promtail
restart: unless-stopped
command: -config.file=/etc/promtail/config.yml
volumes:
- ./promtail-config.yml:/etc/promtail/config.yml:ro
# 读取容器日志需要 Docker socket
- /var/run/docker.sock:/var/run/docker.sock:ro
depends_on:
- loki
# 黑盒探活:从外部探测接口可用性与耗时
blackbox:
@@ -227,3 +260,4 @@ volumes:
redis-data:
prometheus-data:
grafana-data:
loki-data:
+50 -3
View File
@@ -170,8 +170,9 @@ app.register.max-per-device-per-day
| GET | `/app/home/feed` | 首页:轮播 + 分区,卡片带 `preview` 可播预览集与 `language` 语种 |
| GET | `/app/discover/feed` | 发现页分区 |
| GET | `/app/feed?types=ANIME,LIVE&categoryId=7&cursor=&size=20` | 推荐流;支持内容类型与分类叠加过滤,游标翻页 |
| GET | `/app/categories` | 已启用首页分类。`name` 为中文,`locales` 为 `{zh,en,id}` |
| GET | `/app/categories` | 已启用首页分类。名称在 `locales`;另带 `code`、`layoutType`(`GRID` / `RANKING`)、`revision` |
| GET | `/app/categories/{id}/dramas?pageIndex=&pageSize=` | 分类下已上线短剧,分页。`pageIndex` 默认 1,`pageSize` 默认 20、最大 50 |
| GET | `/app/categories/{id}/ranking` | 推荐榜快照;只接受 `layoutType=RANKING` 的已启用分类,按后台位置返回连续排名 |
| GET | `/app/drama-categories` | 已启用类型。`locales` 为 `{zh,en,id}` |
| GET | `/app/tags` | 已启用标签。`locales` 为 `{zh,en,id}` |
| POST | `/app/dramas/page` | 全部短剧分页。请求体 `pageIndex`(默认 1)、`pageSize`(默认 20、最大 50)、`categoryIds`、`classificationIds`、`tagIds`。id 用 JSON 数组,不放查询串。同一组多选为或,组与组之间为且 |
@@ -205,6 +206,10 @@ app.register.max-per-device-per-day
> 卡片文案只放语言表:`titleLocales`、`synopsisLocales`、`types`、`tagLocales`。
> `tagColor` 是标签背景色。中文取各表的 `zh`。
>
> `tagCode` 是标签语义码(如 `NEW_ARRIVAL`),来自 `content_tag.code`。
> 客户端按码判断板块(推荐页「上新」横滑),`tagLocales` 只用于展示;
> 码为空时客户端才退回按文案匹配。后台标签管理可配置该码。
>
> 卡片新增 `dramaType`:`ANIME` 表示漫剧,`LIVE` 表示真人剧。
> 客户端字段仍返回主内容类型;后台多选值保存在 `drama.drama_types`,
> App 类型筛选按逗号列整词匹配,因此 `ANIME,LIVE` 多标签剧可被任一类型命中。
@@ -218,6 +223,28 @@ app.register.max-per-device-per-day
> 只返回 `status = 1` 的剧单,排序与后台剧单排序一致,卡片顺序与后台关联顺序一致。
> 剧单列表越界页返回空 `list`,`total` 仍是全部剧单数。详情越界页同样返回空 `list`。
#### 推荐榜(`GET /app/categories/{id}/ranking`)
- 分类列表中的 `layoutType=RANKING` 表示客户端必须使用榜单布局,禁止按分类名称判断。
- 榜单内容与顺序以 `drama_classification_drama.position asc` 为准;客户端不得按播放量重新排序。
- 已下架、未发布或不存在的短剧会被过滤,剩余项目的 `rank` 从 1 连续补齐。
- 最多返回 50 部;`revision` 在后台保存内容或顺序后递增,供缓存与曝光埋点使用。
- 响应 `list` 项结构为 `{rank, drama}`,其中 `drama` 沿用 `AppDramaCardVO`。
```json
{
"id": "2112807182243336193",
"code": "RECOMMEND_RANKING",
"locales": {"zh": "推荐榜", "en": "Top Picks", "id": "Pilihan Teratas"},
"revision": "8",
"generatedAt": "2026-11-02T10:00:00",
"total": 1,
"list": [
{"rank": 1, "drama": {"id": "2112807182243336194", "titleLocales": {"zh": "短剧 A"}}}
]
}
```
#### 推荐类型流(`GET /app/feed`)
- `types` 可选,逗号分隔,支持 `ANIME`、`LIVE` 或多选 `ANIME,LIVE`;不传或空值返回全部已上线内容。
@@ -462,6 +489,7 @@ app.register.max-per-device-per-day
"id": "Pengantin Pengganti: Kesayangan Presiden Direktur"
},
"dramaCover": "/files/drama_cover/12.jpg",
"dramaCoverLandscape": "/files/drama_cover/12-wide.jpg",
"episodeNumber": 6,
"totalEpisodes": 68,
"viewCount": "1800",
@@ -484,7 +512,8 @@ app.register.max-per-device-per-day
| --- | --- | --- |
| `dramaTitle` | string / null | 短剧中文标题,旧客户端回退用 |
| `titleLocales` | object / null | 短剧标题语言表,key 为 `zh` / `en` / `id`。客户端按当前语言取,没有对应语言时回退 `zh` |
| `dramaCover` | string / null | 短剧封面 |
| `dramaCover` | string / null | 短剧竖版封面 |
| `dramaCoverLandscape` | string / null | 短剧横版封面,供继续观看横幅等横向位使用;为空时客户端回退 `dramaCover` |
| `episodeNumber` | int / null | 当前续看集号 `ep_no` |
| `totalEpisodes` | int / null | 短剧总集数 |
| `viewCount` | Long(JSON 字符串)/ null | 短剧热度,取 `drama.view_count`。`playCount` 是用户自己的播放次数 |
@@ -633,6 +662,7 @@ B1-2 的退款/拒付复验依赖它。服务端凭据(`packageName` + service
| `noticeEnabled` | `app.notice.enabled` | `true` | 公告入口开关 |
| `coinUnlockEnabled` | `app.coin.unlock.enabled` | `true` | 金币解锁开关 |
| `downloadEnabled` | `app.download.enabled` | `true` | 离线下载开关 |
| `loginBackgroundUrl` | `app.login.background.url` | `""` | 登录页全屏海报背景;留空 App 用内置默认图。**建议尺寸 1170×2532**(iPhone 14 Pro Max 3× 整屏竖图),后台走 `/admin/media/upload/` 任意 bizType 上传后把返回的相对路径(`/files/login_bg/xxx.jpg`)写入即可 |
**口径**:**只下发上述白名单键**(服务端硬编码白名单),后台配置里的其它键(可能含内部开关)
**一律不下发**;库里缺键时用「契约默认值」兜底,**不返回 null 让客户端自己猜默认值**。
@@ -1262,6 +1292,7 @@ commentSummary,createdAt`。游客的 userId 为空、anonymous 为 true;评
| GET | `/admin/drama-classifications/{id}/dramas/candidates` | `drama:list` | 尚未关联到该分类的短剧(分页,供多选) |
| POST | `/admin/drama-classifications/{id}/dramas` | `drama:update` | 批量关联短剧,返回实际新增数量 |
| DELETE | `/admin/drama-classifications/{id}/dramas/{dramaId}` | `drama:update` | 从分类移出短剧(幂等) |
| PUT | `/admin/drama-classifications/{id}/ranking-items` | `drama:update` | 原子保存推荐榜完整顺序,最多 50 部;空数组表示清空 |
**列表响应**
@@ -1273,6 +1304,9 @@ commentSummary,createdAt`。游客的 userId 为空、anonymous 为 true;评
{
"id": "2112807182243336193",
"name": "本周必看",
"code": "CLASSIFICATION_2112807182243336193",
"layoutType": "GRID",
"revision": "1",
"sort": 1,
"status": 1,
"dramaCount": 12,
@@ -1288,12 +1322,20 @@ commentSummary,createdAt`。游客的 userId 为空、anonymous 为 true;评
**新建 / 编辑请求体**
```json
{ "name": "本周必看", "sort": 1, "status": 1 }
{
"name": "推荐榜",
"code": "RECOMMEND_RANKING",
"layoutType": "RANKING",
"sort": 1,
"status": 1
}
```
| 字段 | 必填 | 说明 |
| --- | --- | --- |
| `name` | 是 | 去首尾空格后保存,全局唯一;`@NotBlank` 提示「请填写分类名称」 |
| `code` | 否 | 稳定语义码,只允许大写字母、数字、下划线;不传时生成 `CLASSIFICATION_{id}` |
| `layoutType` | 否 | `GRID` 普通分类 / `RANKING` 推荐榜;默认 `GRID` |
| `sort` | 否 | 新建不传时取 `现有条数 + 1`;编辑不传(null)时保持原值 |
| `status` | 否 | `1` 启用 / `0` 停用;新建默认 `1`,编辑不传保持原值 |
@@ -1307,6 +1349,11 @@ POST /admin/drama-classifications/2112807182243336193/dramas
返回 `data` 为实际新增条数(整数)。已关联的、以及不存在的 `dramaId` 会被静默跳过,不报错;
全部跳过时返回 `0`。`dramaIds` 为空数组 → `400 请选择短剧`。
推荐榜应使用 `PUT /{id}/ranking-items` 一次提交完整有序 `dramaIds`。接口会去重、校验短剧存在,
按数组顺序写入 `position=1..N` 并递增分类 `revision`;`dramaIds` 必须显式传数组,空数组表示清空。
普通分类调用该接口返回 `200003`;推荐榜调用旧的 `POST /{id}/dramas` 或
`DELETE /{id}/dramas/{dramaId}` 同样返回 `200003`,防止绕过版本与排序更新。
**短剧列表项(`GET /{id}/dramas` 与 `/dramas/candidates` 共用)**
```json
@@ -9,6 +9,7 @@ import com.fruitshorts.content.vo.DramaBriefVO;
import com.fruitshorts.content.vo.DramaClassificationRespVO;
import com.fruitshorts.content.vo.DramaClassificationSaveReqVO;
import com.fruitshorts.content.vo.DramaIdsReqVO;
import com.fruitshorts.content.vo.DramaRankingItemsReqVO;
import com.fruitshorts.framework.log.OperationLog;
import io.swagger.v3.oas.annotations.Operation;
import io.swagger.v3.oas.annotations.tags.Tag;
@@ -104,6 +105,16 @@ public class DramaClassificationController {
return Result.ok(classificationService.bindDramas(id, req.getDramaIds()));
}
@Operation(summary = "保存推荐榜完整内容与顺序")
@PutMapping("/{id}/ranking-items")
@PreAuthorize("@ss.hasPermission('drama:update')")
@OperationLog(module = "内容管理", action = "保存推荐榜顺序")
public Result<Void> saveRankingItems(@PathVariable Long id,
@Valid @RequestBody DramaRankingItemsReqVO req) {
classificationService.saveRankingItems(id, req.getDramaIds());
return Result.ok();
}
@Operation(summary = "移除分类下的短剧")
@DeleteMapping("/{id}/dramas/{dramaId}")
@PreAuthorize("@ss.hasPermission('drama:update')")
@@ -14,6 +14,12 @@ spring:
url: ${DB_URL:jdbc:postgresql://127.0.0.1:5432/fruitshorts}
username: ${DB_USER:fruitshorts}
password: ${DB_PASSWORD:fruitshorts}
data:
redis:
# 与 app-api 共用同一个 Redis 实例;容器内必须显式指定 host,
# 否则 Spring Boot 默认连 127.0.0.1(容器内即自身)导致健康检查报 DOWN。
host: ${REDIS_HOST:127.0.0.1}
port: ${REDIS_PORT:6379}
jackson:
date-format: yyyy-MM-dd HH:mm:ss
time-zone: Asia/Shanghai
@@ -3,11 +3,13 @@
package com.fruitshorts.app.controller;
import com.fruitshorts.app.service.AppCatalogService;
import com.fruitshorts.app.service.AppRankingService;
import com.fruitshorts.app.vo.AppCategoryVO;
import com.fruitshorts.app.vo.AppDramaPageReqVO;
import com.fruitshorts.app.vo.AppFeedVO;
import com.fruitshorts.app.vo.AppDramaCardVO;
import com.fruitshorts.app.vo.AppPlaylistDetailVO;
import com.fruitshorts.app.vo.AppRankingVO;
import com.fruitshorts.common.pojo.CursorResult;
import com.fruitshorts.common.pojo.PageResult;
import com.fruitshorts.common.pojo.Result;
@@ -37,6 +39,7 @@ public class AppCatalogController {
private static final int DRAMA_PAGE_SIZE = 20;
private final AppCatalogService appCatalogService;
private final AppRankingService appRankingService;
@Operation(summary = "首页聚合:轮播 + 分区,一次请求渲染整页")
@GetMapping("/home/feed")
@@ -75,6 +78,12 @@ public class AppCatalogController {
return Result.ok(appCatalogService.categoryDramas(id, pageIndex, pageSize));
}
@Operation(summary = "推荐榜:按后台配置顺序返回榜单快照")
@GetMapping("/categories/{id}/ranking")
public Result<AppRankingVO> categoryRanking(@PathVariable Long id) {
return Result.ok(appRankingService.ranking(id));
}
@Operation(summary = "已启用类型")
@GetMapping("/drama-categories")
public Result<List<AppCategoryVO>> dramaCategories() {
@@ -34,7 +34,6 @@ import org.springframework.stereotype.Service;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Arrays;
@@ -93,6 +92,11 @@ public class AppCatalogService {
c.getNameLocales(), c.getName(), c.getNameEn(), c.getNameId());
AppCategoryVO vo = new AppCategoryVO(c.getId(), ContentLocaleTexts.value(locales, ContentLocaleTexts.ZH));
vo.setLocales(locales);
vo.setCode(c.getCode());
vo.setLayoutType(c.getLayoutType() == null
? DramaClassificationService.LAYOUT_GRID
: c.getLayoutType());
vo.setRevision(c.getRevision() == null ? 1L : c.getRevision());
return vo;
})
.toList();
@@ -206,6 +210,7 @@ public class AppCatalogService {
detail.setTitleLocales(titles);
detail.setSynopsisLocales(synopses);
detail.setCover(drama.getCoverUrl());
detail.setCoverLandscape(drama.getHorizontalCoverUrl());
detail.setTypes(types);
fillDetailTag(detail, drama);
detail.setTotalEpisodes(drama.getTotalEpisodes());
@@ -348,7 +353,8 @@ public class AppCatalogService {
drama.getSynopsisLocales(), drama.getSynopsis(), null, null);
card.setTitleLocales(titles);
card.setCover(drama.getCoverUrl());
card.setSynopsisLocales(shortLocales(synopses));
card.setCoverLandscape(drama.getHorizontalCoverUrl());
card.setSynopsisLocales(synopses);
card.setTypes(types);
fillTag(card, drama, tags);
card.setTotalEpisodes(drama.getTotalEpisodes());
@@ -411,6 +417,7 @@ public class AppCatalogService {
ContentTag tag = tagOf(drama, tags);
Map<String, String> locales = tagLocales(tag);
card.setTagLocales(locales);
card.setTagCode(tagCode(tag));
card.setTagColor(tag == null ? "" : tag.getBgColor());
}
@@ -418,9 +425,18 @@ public class AppCatalogService {
ContentTag tag = tagOf(drama, loadTags(List.of(drama)));
Map<String, String> locales = tagLocales(tag);
detail.setTagLocales(locales);
detail.setTagCode(tagCode(tag));
detail.setTagColor(tag == null ? "" : tag.getBgColor());
}
/** 语义码直接下发,客户端据此判断板块;未配置时给空串,由客户端按文案兜底。 */
private String tagCode(ContentTag tag) {
if (tag == null || tag.getCode() == null) {
return "";
}
return tag.getCode().trim();
}
private ContentTag tagOf(Drama drama, Map<Long, ContentTag> tags) {
if (drama.getTagId() == null || drama.getTagId() <= 0L) {
return null;
@@ -439,20 +455,4 @@ public class AppCatalogService {
return dramaCategoryService.localeMap();
}
/** 卡片只带一句简介,避免列表响应体过大 */
private Map<String, String> shortLocales(Map<String, String> locales) {
Map<String, String> result = new LinkedHashMap<>();
if (locales == null) {
return result;
}
locales.forEach((code, text) -> result.put(code, shortSynopsis(text)));
return result;
}
private String shortSynopsis(String synopsis) {
if (synopsis == null) {
return "";
}
return synopsis.length() <= 60 ? synopsis : synopsis.substring(0, 60);
}
}
@@ -35,6 +35,7 @@ public class AppConfigService {
KEYS.put("noticeEnabled", new KeySpec("app.notice.enabled", "true"));
KEYS.put("coinUnlockEnabled", new KeySpec("app.coin.unlock.enabled", "true"));
KEYS.put("downloadEnabled", new KeySpec("app.download.enabled", "true"));
KEYS.put("loginBackgroundUrl", new KeySpec("app.login.background.url", ""));
}
private final SysConfigMapper sysConfigMapper;
@@ -0,0 +1,79 @@
// Author: fruit.com.cn
package com.fruitshorts.app.service;
import com.fruitshorts.app.vo.AppDramaCardVO;
import com.fruitshorts.app.vo.AppRankingEntryVO;
import com.fruitshorts.app.vo.AppRankingVO;
import com.fruitshorts.common.exception.ErrorCode;
import com.fruitshorts.common.exception.ServiceException;
import com.fruitshorts.content.dal.entity.Drama;
import com.fruitshorts.content.service.ContentLocaleTexts;
import com.fruitshorts.content.service.DramaClassificationService;
import com.fruitshorts.content.service.DramaService;
import lombok.RequiredArgsConstructor;
import org.springframework.stereotype.Service;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
/** C 端推荐榜快照组装。 */
@Service
@RequiredArgsConstructor
public class AppRankingService {
private static final int MAX_RANKING_ITEMS = 50;
private final DramaClassificationService classificationService;
private final DramaService dramaService;
private final AppCatalogService catalogService;
/** 过滤未上线短剧后保持后台位置,排名连续补齐。 */
public AppRankingVO ranking(Long classificationId) {
var classification = classificationService.getEnabledById(classificationId);
if (!DramaClassificationService.LAYOUT_RANKING.equals(classification.getLayoutType())) {
throw new ServiceException(ErrorCode.OPERATION_NOT_ALLOWED, "该分类不是推荐榜");
}
List<Long> ids = classificationService.listDramaIdsByClassification(classificationId);
List<Drama> ordered = orderedPublished(ids).stream().limit(MAX_RANKING_ITEMS).toList();
List<AppDramaCardVO> cards = catalogService.toCards(ordered);
List<AppRankingEntryVO> entries = entries(cards);
Map<String, String> locales = ContentLocaleTexts.read(
classification.getNameLocales(), classification.getName(),
classification.getNameEn(), classification.getNameId());
AppRankingVO ranking = new AppRankingVO();
ranking.setId(classification.getId());
ranking.setCode(classification.getCode());
ranking.setLocales(locales);
ranking.setRevision(classification.getRevision() == null ? 1L : classification.getRevision());
ranking.setGeneratedAt(classification.getUpdatedAt());
ranking.setTotal(entries.size());
ranking.setList(entries);
return ranking;
}
private List<AppRankingEntryVO> entries(List<AppDramaCardVO> cards) {
List<AppRankingEntryVO> entries = new ArrayList<>();
for (int index = 0; index < cards.size(); index++) {
entries.add(new AppRankingEntryVO(index + 1, cards.get(index)));
}
return entries;
}
private List<Drama> orderedPublished(List<Long> ids) {
if (ids.isEmpty()) {
return List.of();
}
Map<Long, Integer> positions = new HashMap<>();
for (int index = 0; index < ids.size(); index++) {
positions.put(ids.get(index), index);
}
return dramaService.listPublishedByIds(ids).stream()
.sorted((left, right) -> Integer.compare(
positions.getOrDefault(left.getId(), Integer.MAX_VALUE),
positions.getOrDefault(right.getId(), Integer.MAX_VALUE)))
.toList();
}
}
@@ -11,10 +11,15 @@ import java.util.Map;
public class AppCategoryVO {
private Long id;
private String code;
private String layoutType;
private Long revision;
private Map<String, String> locales;
public AppCategoryVO(Long id, String name) {
this.id = id;
this.layoutType = "GRID";
this.revision = 1L;
this.locales = name == null || name.isBlank() ? Map.of() : Map.of("zh", name);
}
}
@@ -15,11 +15,15 @@ public class AppDramaCardVO {
private Long id;
private Map<String, String> titleLocales;
private String cover;
/** 横版封面(16:9),横幅等横向位优先用它;空串表示未上传,客户端回退竖版。 */
private String coverLandscape;
private Map<String, String> synopsisLocales;
/** 短剧选中的全部类型,每项是一份语言表。 */
private List<Map<String, String>> types;
/** 标签语言表,key 为 zh / en / id。 */
private Map<String, String> tagLocales;
/** 标签语义码,如 NEW_ARRIVAL;客户端按码判断板块,文案仅用于展示。 */
private String tagCode;
/** 标签角标背景色,#RRGGBB。 */
private String tagColor;
private Integer totalEpisodes;
@@ -14,8 +14,12 @@ public class AppDramaDetailVO {
private Map<String, String> titleLocales;
private Map<String, String> synopsisLocales;
private String cover;
/** 横版封面(16:9);空串表示未上传。 */
private String coverLandscape;
private List<Map<String, String>> types;
private Map<String, String> tagLocales;
/** 标签语义码,如 NEW_ARRIVAL;空表示未配置。 */
private String tagCode;
private String tagColor;
private Integer totalEpisodes;
private Integer freeEpisodes;
@@ -0,0 +1,15 @@
// Author: fruit.com.cn
package com.fruitshorts.app.vo;
import lombok.AllArgsConstructor;
import lombok.Data;
/** 推荐榜单项,排名由服务端确定。 */
@Data
@AllArgsConstructor
public class AppRankingEntryVO {
private Integer rank;
private AppDramaCardVO drama;
}
@@ -0,0 +1,22 @@
// Author: fruit.com.cn
package com.fruitshorts.app.vo;
import lombok.Data;
import java.time.LocalDateTime;
import java.util.List;
import java.util.Map;
/** 推荐榜快照。 */
@Data
public class AppRankingVO {
private Long id;
private String code;
private Map<String, String> locales;
private Long revision;
private LocalDateTime generatedAt;
private Integer total;
private List<AppRankingEntryVO> list;
}
@@ -23,6 +23,13 @@ fruitshorts:
cors:
# 生产只允许显式配置的来源;没配就等于空,浏览器侧会被拦住(比"*"安全)
allowed-origins: ${CORS_ALLOWED_ORIGINS:}
watch-progress:
# 观看进度写缓冲:POST 先写 Redis 立即返回,后台任务批量合并进 watch_progress。
# 消化能力 = batch-size / interval ≈ 5000 条/秒,覆盖 30 万 DAU 峰值 ~3700 条/秒上报。
# 关掉(false)即回退同步写库,接口契约不变。
buffer: true
flush-interval-ms: 2000
flush-batch-size: 10000
springdoc:
# 生产只留机器可读契约,关掉 UI(doc.html 不对外开放)
@@ -11,13 +11,22 @@ spring:
datasource:
driver-class-name: org.postgresql.Driver
# 地址必须外置:不同环境(本机 / 测试 / 生产)连的库不一样,
# 生产请用 DB_URL 注入(prod profile 会校验它非空)
url: ${DB_URL:jdbc:postgresql://127.0.0.1:5432/fruitshorts}
# 生产请用 DB_URL 注入(prod profile 会校验它非空)。
# reWriteBatchedInserts:pgjdbc 把批内多条 INSERT 重写成多值 INSERT,
# 观看进度缓冲落库依赖它才能跑满批量吞吐。
url: ${DB_URL:jdbc:postgresql://127.0.0.1:5432/fruitshorts?reWriteBatchedInserts=true}
username: ${DB_USER:fruitshorts}
password: ${DB_PASSWORD:fruitshorts}
jackson:
date-format: yyyy-MM-dd HH:mm:ss
time-zone: Asia/Shanghai
task:
scheduling:
# 默认调度池只有 1 条线程:观看进度落库(每 2s)会和其他定时任务互相排队,
# 落库一旦拖慢就会连带推迟对时延敏感的任务,必须给池子多几条线程。
pool:
size: 4
thread-name-prefix: fruitshorts-sched-
data:
redis:
host: ${REDIS_HOST:127.0.0.1}
@@ -3,6 +3,7 @@ package com.fruitshorts.app.controller;
import com.fruitshorts.app.service.AppCatalogService;
import com.fruitshorts.app.service.AppEpisodeStatsService;
import com.fruitshorts.app.service.AppRankingService;
import com.fruitshorts.app.support.ControllerContractSupport;
import com.fruitshorts.app.vo.AppBannerVO;
import com.fruitshorts.app.vo.AppCategoryVO;
@@ -10,6 +11,8 @@ import com.fruitshorts.app.vo.AppDramaCardVO;
import com.fruitshorts.app.vo.AppDramaDetailVO;
import com.fruitshorts.app.vo.AppFeedVO;
import com.fruitshorts.app.vo.AppSectionVO;
import com.fruitshorts.app.vo.AppRankingEntryVO;
import com.fruitshorts.app.vo.AppRankingVO;
import com.fruitshorts.common.pojo.CursorResult;
import com.fruitshorts.content.service.EpisodeService;
import com.fruitshorts.common.exception.ErrorCode;
@@ -41,13 +44,16 @@ import static org.springframework.test.web.servlet.result.MockMvcResultMatchers.
class AppCatalogControllerContractTest {
private AppCatalogService catalogService;
private AppRankingService rankingService;
private MockMvc catalogMvc;
private MockMvc dramaMvc;
@BeforeEach
void setUp() {
catalogService = mock(AppCatalogService.class);
catalogMvc = ControllerContractSupport.mockMvcOf(new AppCatalogController(catalogService));
rankingService = mock(AppRankingService.class);
catalogMvc = ControllerContractSupport.mockMvcOf(
new AppCatalogController(catalogService, rankingService));
dramaMvc = ControllerContractSupport.mockMvcOf(
new AppDramaController(catalogService, mock(PlaybackService.class),
mock(EpisodeService.class), mock(CommentService.class),
@@ -122,15 +128,44 @@ class AppCatalogControllerContractTest {
@Test
void should_return_category_list_when_categories_are_requested() throws Exception {
AppCategoryVO category = new AppCategoryVO(3L, "都市");
category.setCode("RECOMMEND_RANKING");
category.setLayoutType("RANKING");
category.setRevision(7L);
given(catalogService.categories()).willReturn(List.of(category));
catalogMvc.perform(get("/app/categories"))
.andExpect(status().isOk())
.andExpect(jsonPath("$.code").value(0))
.andExpect(jsonPath("$.data[0].id").value(3))
.andExpect(jsonPath("$.data[0].code").value("RECOMMEND_RANKING"))
.andExpect(jsonPath("$.data[0].layoutType").value("RANKING"))
.andExpect(jsonPath("$.data[0].revision").value("7"))
.andExpect(jsonPath("$.data[0].locales.zh").value("都市"));
}
@Test
void should_return_server_rank_when_ranking_is_requested() throws Exception {
AppDramaCardVO card = new AppDramaCardVO();
card.setId(12L);
card.setTitleLocales(Map.of("zh", "榜首短剧"));
AppRankingVO ranking = new AppRankingVO();
ranking.setId(3L);
ranking.setCode("RECOMMEND_RANKING");
ranking.setRevision(8L);
ranking.setTotal(1);
ranking.setList(List.of(new AppRankingEntryVO(1, card)));
given(rankingService.ranking(3L)).willReturn(ranking);
catalogMvc.perform(get("/app/categories/3/ranking"))
.andExpect(status().isOk())
.andExpect(jsonPath("$.code").value(0))
.andExpect(jsonPath("$.data.revision").value("8"))
.andExpect(jsonPath("$.data.list[0].rank").value(1))
.andExpect(jsonPath("$.data.list[0].drama.id").value("12"));
verify(rankingService).ranking(3L);
}
@Test
void should_bind_path_variable_when_drama_detail_is_requested() throws Exception {
AppDramaDetailVO detail = new AppDramaDetailVO();
@@ -328,7 +328,9 @@ class AppCommentCountAnonymousSecurityTest {
@Bean
AppCatalogController appCatalogController(AppCatalogService appCatalogService) {
return new AppCatalogController(appCatalogService);
return new AppCatalogController(
appCatalogService,
mock(com.fruitshorts.app.service.AppRankingService.class));
}
@Bean
@@ -90,6 +90,7 @@ class AppCreatorAndConfigContractTest {
whitelist.put("noticeEnabled", true);
whitelist.put("coinUnlockEnabled", true);
whitelist.put("downloadEnabled", true);
whitelist.put("loginBackgroundUrl", "");
given(appConfigService.appConfig()).willReturn(whitelist);
String body = configMvc.perform(get("/app/config"))
@@ -97,6 +98,7 @@ class AppCreatorAndConfigContractTest {
.andExpect(jsonPath("$.code").value(0))
.andExpect(jsonPath("$.data.agreementVersion").value("2026-10-01"))
.andExpect(jsonPath("$.data.forceUpdate").value(false))
.andExpect(jsonPath("$.data.loginBackgroundUrl").value(""))
.andReturn().getResponse().getContentAsString(java.nio.charset.StandardCharsets.UTF_8);
// 没登录也能拿到(匿名)
@@ -130,6 +130,25 @@ class AppCatalogServiceTest {
verify(commentService, never()).countByDrama(any());
}
@Test
void should_keep_full_synopsis_on_card_when_text_exceeds_card_length() {
String longSynopsis = "一纸婚约,开启了甜蜜又心动的同居生活。"
+ "真相只有一个,而她亲手揭开迷雾。一场意外替嫁,让她成为冷面总裁的契约新娘。";
Drama drama = new Drama();
drama.setId(1L);
drama.setTitle("第一部");
drama.setSynopsis(longSynopsis);
given(episodeService.firstPlayableByDramas(List.of(1L))).willReturn(Map.of());
given(dramaCategoryService.listBasic()).willReturn(List.of());
given(commentService.countByEpisodes(List.of())).willReturn(Map.of());
List<AppDramaCardVO> cards = catalogService.toCards(List.of(drama));
assertThat(cards).hasSize(1);
assertThat(cards.get(0).getSynopsisLocales())
.containsEntry("zh", longSynopsis);
}
@Test
void should_filter_feed_by_drama_type_and_expose_it_on_card() {
Drama anime = drama(1L, "ANIME");
@@ -0,0 +1,75 @@
// Author: fruit.com.cn
package com.fruitshorts.app.service;
import com.fruitshorts.app.vo.AppDramaCardVO;
import com.fruitshorts.app.vo.AppRankingVO;
import com.fruitshorts.content.dal.entity.Drama;
import com.fruitshorts.content.dal.entity.DramaClassification;
import com.fruitshorts.content.service.DramaClassificationService;
import com.fruitshorts.content.service.DramaService;
import org.junit.jupiter.api.Test;
import java.util.List;
import java.util.Map;
import static org.assertj.core.api.Assertions.assertThat;
import static org.mockito.BDDMockito.given;
import static org.mockito.Mockito.mock;
/** 推荐榜快照顺序与排名测试。 */
class AppRankingServiceTest {
@Test
void should_preserve_server_order_and_compact_rank_when_offline_items_are_filtered() {
DramaClassificationService classificationService = mock(DramaClassificationService.class);
DramaService dramaService = mock(DramaService.class);
AppCatalogService catalogService = mock(AppCatalogService.class);
AppRankingService service = new AppRankingService(
classificationService, dramaService, catalogService);
DramaClassification classification = rankingClassification();
Drama second = drama(22L);
Drama first = drama(11L);
given(classificationService.getEnabledById(3L)).willReturn(classification);
given(classificationService.listDramaIdsByClassification(3L))
.willReturn(List.of(11L, 99L, 22L));
given(dramaService.listPublishedByIds(List.of(11L, 99L, 22L)))
.willReturn(List.of(second, first));
AppDramaCardVO firstCard = card(11L);
AppDramaCardVO secondCard = card(22L);
given(catalogService.toCards(List.of(first, second)))
.willReturn(List.of(firstCard, secondCard));
AppRankingVO result = service.ranking(3L);
assertThat(result.getRevision()).isEqualTo(7L);
assertThat(result.getList()).extracting(item -> item.getDrama().getId())
.containsExactly(11L, 22L);
assertThat(result.getList()).extracting(item -> item.getRank())
.containsExactly(1, 2);
}
private DramaClassification rankingClassification() {
DramaClassification classification = new DramaClassification();
classification.setId(3L);
classification.setCode("RECOMMEND_RANKING");
classification.setName("推荐榜");
classification.setNameLocales("{\"zh\":\"推荐榜\"}");
classification.setLayoutType(DramaClassificationService.LAYOUT_RANKING);
classification.setRevision(7L);
return classification;
}
private Drama drama(Long id) {
Drama drama = new Drama();
drama.setId(id);
return drama;
}
private AppDramaCardVO card(Long id) {
AppDramaCardVO card = new AppDramaCardVO();
card.setId(id);
card.setTitleLocales(Map.of("zh", "短剧" + id));
return card;
}
}
@@ -20,18 +20,28 @@ import com.fruitshorts.playback.vo.ProgressRespVO;
import com.fruitshorts.playback.vo.ProgressSaveReqVO;
import org.apache.ibatis.builder.MapperBuilderAssistant;
import org.apache.ibatis.annotations.Select;
import org.apache.ibatis.session.ExecutorType;
import org.apache.ibatis.session.SqlSession;
import org.apache.ibatis.session.SqlSessionFactory;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
import org.mockito.ArgumentCaptor;
import org.mockito.InOrder;
import org.springframework.beans.factory.ObjectProvider;
import org.springframework.transaction.PlatformTransactionManager;
import org.springframework.transaction.support.TransactionTemplate;
import java.time.LocalDateTime;
import java.lang.reflect.Method;
import java.util.List;
import java.util.Map;
import static org.assertj.core.api.Assertions.assertThat;
import static org.mockito.ArgumentMatchers.any;
import static org.mockito.ArgumentMatchers.eq;
import static org.mockito.BDDMockito.given;
import static org.mockito.Mockito.inOrder;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.never;
import static org.mockito.Mockito.times;
@@ -58,11 +68,18 @@ class WatchProgressServiceTest {
historyMapper = mock(WatchHistoryMapper.class);
dramaService = mock(DramaService.class);
episodeService = mock(EpisodeService.class);
// 测试统一走缓冲关闭(同步写库)路径:getIfAvailable 返回 null
@SuppressWarnings("unchecked")
ObjectProvider<WatchProgressBuffer> bufferProvider = mock(ObjectProvider.class);
given(bufferProvider.getIfAvailable()).willReturn(null);
progressService = new WatchProgressService(
progressMapper,
historyMapper,
dramaService,
episodeService);
episodeService,
bufferProvider,
mock(SqlSessionFactory.class),
new TransactionTemplate(mock(PlatformTransactionManager.class)));
}
@Test
@@ -319,6 +336,123 @@ class WatchProgressServiceTest {
verify(progressMapper).deleteById(1L);
}
@Test
void should_delete_buffer_state_when_removing_or_clearing_history() {
WatchProgressBuffer buffer = mock(WatchProgressBuffer.class);
WatchProgressService service = serviceWithBuffer(buffer);
service.remove(new InteractionIdentity(9L, ""), 5L);
service.clear(new InteractionIdentity(9L, ""));
verify(buffer).remove(any(InteractionIdentity.class), eq(5L));
verify(buffer).clear(any(InteractionIdentity.class));
verify(progressMapper, times(2)).delete(any());
}
@Test
void should_not_bring_back_deleted_drama_from_buffer_in_recent_page() {
WatchProgressBuffer buffer = mock(WatchProgressBuffer.class);
WatchProgressService service = serviceWithBuffer(buffer);
Page<WatchProgress> emptyPage = new Page<>(1, 20, 0);
emptyPage.setRecords(List.of());
given(progressMapper.selectPage(any(Page.class), any())).willReturn(emptyPage);
given(buffer.getAll(any(InteractionIdentity.class))).willReturn(Map.of(
5L, new WatchProgressBuffer.BufferedProgress(
5L, 88L, 1_000L, 2_000L, false, "feed", "", 1_700_000_000_000L)));
// 库里该剧只剩逻辑删除行:缓冲状态不得再把它读回列表
WatchProgress hidden = progress(5L, 88L);
hidden.setDeleted(1);
given(progressMapper.selectAnyForIdentityIn(9L, "", List.of(5L)))
.willReturn(List.of(hidden));
PageResult<ProgressRespVO> result =
service.recentPage(new InteractionIdentity(9L, ""), 1, 20);
assertThat(result.getList()).isEmpty();
assertThat(result.getTotal()).isZero();
}
@Test
void should_drop_buffered_refs_whose_state_is_gone_instead_of_requeue() {
WatchProgressBuffer buffer = mock(WatchProgressBuffer.class);
WatchProgressService service = serviceWithBuffer(buffer);
given(buffer.drain(10)).willReturn(
List.of(new WatchProgressBuffer.IdentityRef("u:9", 9L, "", 5L)));
given(buffer.getAllBatch(List.of("u:9"))).willReturn(Map.of());
int flushed = service.flushBuffered(10);
// 状态已消失(用户删除/清空历史或 TTL 过期):必须丢弃,退回队列会变成永不消失的僵尸条目
assertThat(flushed).isZero();
verify(buffer, never()).requeue(any());
verify(progressMapper, never()).selectBatchForPairs(any());
}
@Test
void should_flush_device_buffer_before_merging_and_clear_it_after() {
WatchProgressBuffer buffer = mock(WatchProgressBuffer.class);
given(buffer.getAll(any(InteractionIdentity.class))).willReturn(Map.of());
WatchProgressService service = serviceWithBuffer(buffer);
given(progressMapper.selectList(any())).willReturn(List.of());
given(historyMapper.selectList(any())).willReturn(List.of());
service.mergeDeviceIntoUser(9L, "device-a");
// 合并前先把缓冲落库,合并完再清掉设备侧缓冲
InOrder order = inOrder(buffer);
order.verify(buffer).getAll(any(InteractionIdentity.class));
order.verify(buffer).clear(any(InteractionIdentity.class));
}
@Test
void should_drop_late_buffered_ref_when_row_is_already_deleted() {
WatchProgressBuffer buffer = mock(WatchProgressBuffer.class);
SqlSessionFactory sessionFactory = mock(SqlSessionFactory.class);
SqlSession session = mock(SqlSession.class);
WatchProgressMapper batchProgress = mock(WatchProgressMapper.class);
WatchHistoryMapper batchHistory = mock(WatchHistoryMapper.class);
given(sessionFactory.openSession(ExecutorType.BATCH, false)).willReturn(session);
given(session.getMapper(WatchProgressMapper.class)).willReturn(batchProgress);
given(session.getMapper(WatchHistoryMapper.class)).willReturn(batchHistory);
WatchProgressService service = serviceWithBuffer(buffer, sessionFactory);
given(buffer.drain(10)).willReturn(
List.of(new WatchProgressBuffer.IdentityRef("u:9", 9L, "", 5L)));
given(buffer.getAllBatch(List.of("u:9"))).willReturn(Map.of("u:9", Map.of(
5L, new WatchProgressBuffer.BufferedProgress(
5L, 88L, 1_000L, 2_000L, false, "feed", "", 1_700_000_000_000L))));
// 库里是逻辑删除行,且删除时刻晚于该条缓冲的上报时刻
WatchProgress hidden = progress(5L, 88L);
hidden.setUserId(9L);
hidden.setDeleted(1);
hidden.setUpdatedAt(LocalDateTime.of(2026, 10, 28, 12, 0));
given(progressMapper.selectBatchForPairs(any())).willReturn(List.of(hidden));
service.flushBuffered(10);
verify(batchProgress, never()).updateRowAny(any());
verify(batchHistory, never()).insert(any(WatchHistory.class));
}
private WatchProgressService serviceWithBuffer(WatchProgressBuffer buffer) {
return serviceWithBuffer(buffer, mock(SqlSessionFactory.class));
}
private WatchProgressService serviceWithBuffer(
WatchProgressBuffer buffer, SqlSessionFactory sessionFactory) {
@SuppressWarnings("unchecked")
ObjectProvider<WatchProgressBuffer> provider = mock(ObjectProvider.class);
given(provider.getIfAvailable()).willReturn(buffer);
return new WatchProgressService(
progressMapper,
historyMapper,
dramaService,
episodeService,
provider,
sessionFactory,
new TransactionTemplate(mock(PlatformTransactionManager.class)));
}
private Drama drama(Long id, String title, int totalEpisodes) {
Drama drama = new Drama();
drama.setId(id);
@@ -24,6 +24,8 @@ public class ContentTag {
private String nameLocales;
/** 角标背景色,#RRGGBB。 */
private String bgColor;
/** 语义码,如 NEW_ARRIVAL;客户端按码判断板块,不解析文案。空表示未配置。 */
private String code;
private Integer sort;
private Integer status;
private LocalDateTime createdAt;
@@ -18,10 +18,16 @@ public class DramaClassification {
private Long id;
/** 中文名称。 */
private String name;
/** 稳定语义码,不随展示名称变化。 */
private String code;
private String nameEn;
private String nameId;
/** 已选语言的名称。 */
private String nameLocales;
/** 客户端布局:GRID / RANKING。 */
private String layoutType;
/** 内容或顺序版本。 */
private Long revision;
private Integer sort;
private Integer status;
private LocalDateTime createdAt;
@@ -18,5 +18,7 @@ public class DramaClassificationDrama {
private Long id;
private Long classificationId;
private Long dramaId;
/** 分类内展示位置,从 1 开始。 */
private Integer position;
private LocalDateTime createdAt;
}
@@ -49,9 +49,12 @@ public class ContentTagService {
public Long create(ContentTagSaveReqVO req) {
Map<String, String> locales = namesOf(req);
ensureNameAvailable(locales.get(ContentLocaleTexts.ZH), null);
String code = normalizeCode(req.getCode());
ensureCodeAvailable(code, null);
ContentTag entity = new ContentTag();
writeNames(entity, locales);
entity.setBgColor(normalizeColor(req.getBgColor()));
entity.setCode(code);
Long count = tagMapper.selectCount(null);
entity.setSort(req.getSort() == null
? (count == null ? 0 : count.intValue()) + 1
@@ -69,6 +72,11 @@ public class ContentTagService {
if (req.getBgColor() != null) {
entity.setBgColor(normalizeColor(req.getBgColor()));
}
if (req.getCode() != null) {
String code = normalizeCode(req.getCode());
ensureCodeAvailable(code, id);
entity.setCode(code);
}
if (req.getSort() != null) {
entity.setSort(req.getSort());
}
@@ -115,6 +123,23 @@ public class ContentTagService {
return color.trim().toUpperCase();
}
/** 语义码统一大写;空字符串表示不配置。 */
private String normalizeCode(String code) {
return code == null ? "" : code.trim().toUpperCase();
}
private void ensureCodeAvailable(String code, Long excludeId) {
if (code.isEmpty()) {
return;
}
Long count = tagMapper.selectCount(Wrappers.<ContentTag>lambdaQuery()
.eq(ContentTag::getCode, code)
.ne(excludeId != null, ContentTag::getId, excludeId));
if (count != null && count > 0) {
throw new ServiceException(ErrorCode.DATA_EXISTS, "语义码已存在");
}
}
private ContentTag getExisting(Long id) {
ContentTag entity = id == null ? null : tagMapper.selectById(id);
if (entity == null) {
@@ -142,6 +167,7 @@ public class ContentTagService {
vo.setNameId(ContentLocaleTexts.value(locales, ContentLocaleTexts.ID));
vo.setLocales(locales);
vo.setBgColor(tag.getBgColor() == null || tag.getBgColor().isBlank() ? "#E5484D" : tag.getBgColor());
vo.setCode(tag.getCode() == null ? "" : tag.getCode());
vo.setSort(tag.getSort());
vo.setStatus(tag.getStatus());
return vo;
@@ -27,7 +27,6 @@ import org.springframework.util.StringUtils;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
/**
* 运营分类服务。分类是独立于「短剧类型(drama_category)」的一套概念,
@@ -37,9 +36,15 @@ import java.util.stream.Collectors;
@RequiredArgsConstructor
public class DramaClassificationService {
public static final String LAYOUT_GRID = "GRID";
public static final String LAYOUT_RANKING = "RANKING";
private static final long INITIAL_REVISION = 1L;
private static final String DEFAULT_CODE_PREFIX = "CLASSIFICATION_";
private final DramaClassificationMapper classificationMapper;
private final DramaClassificationDramaMapper classificationDramaMapper;
private final DramaMapper dramaMapper;
private final DramaRankingService rankingService;
public List<DramaClassificationRespVO> list() {
Map<Long, Integer> counts = countDramas();
@@ -49,12 +54,15 @@ public class DramaClassificationService {
.stream().map(item -> {
DramaClassificationRespVO vo = new DramaClassificationRespVO();
vo.setId(item.getId());
vo.setCode(codeOf(item));
Map<String, String> locales = ContentLocaleTexts.read(
item.getNameLocales(), item.getName(), item.getNameEn(), item.getNameId());
vo.setName(locales.get(ContentLocaleTexts.ZH));
vo.setNameEn(ContentLocaleTexts.value(locales, ContentLocaleTexts.EN));
vo.setNameId(ContentLocaleTexts.value(locales, ContentLocaleTexts.ID));
vo.setLocales(locales);
vo.setLayoutType(layoutOf(item));
vo.setRevision(revisionOf(item));
vo.setSort(item.getSort());
vo.setStatus(item.getStatus());
vo.setUpdatedAt(item.getUpdatedAt());
@@ -68,12 +76,18 @@ public class DramaClassificationService {
ensureNameAvailable(locales.get(ContentLocaleTexts.ZH), null);
DramaClassification entity = new DramaClassification();
writeNames(entity, locales);
writeClassificationSettings(entity, req);
Long count = classificationMapper.selectCount(null);
entity.setSort(req.getSort() == null
? (count == null ? 0 : count.intValue()) + 1
: req.getSort());
entity.setStatus(req.getStatus() == null ? 1 : req.getStatus());
entity.setRevision(INITIAL_REVISION);
classificationMapper.insert(entity);
if (!StringUtils.hasText(entity.getCode())) {
entity.setCode(DEFAULT_CODE_PREFIX + entity.getId());
classificationMapper.updateById(entity);
}
return entity.getId();
}
@@ -82,6 +96,7 @@ public class DramaClassificationService {
Map<String, String> locales = namesOf(req);
ensureNameAvailable(locales.get(ContentLocaleTexts.ZH), id);
writeNames(entity, locales);
writeClassificationSettings(entity, req);
if (req.getSort() != null) {
entity.setSort(req.getSort());
}
@@ -114,7 +129,7 @@ public class DramaClassificationService {
/** 批量关联短剧;已关联的自动跳过。 */
@Transactional(rollbackFor = Exception.class)
public int bindDramas(Long id, List<Long> dramaIds) {
getExisting(id);
ensureGridMutation(getExisting(id));
if (dramaIds == null || dramaIds.isEmpty()) {
return 0;
}
@@ -133,6 +148,7 @@ public class DramaClassificationService {
DramaClassificationDrama relation = new DramaClassificationDrama();
relation.setClassificationId(id);
relation.setDramaId(dramaId);
relation.setPosition(rankingService.nextPosition(id));
classificationDramaMapper.insert(relation);
added++;
}
@@ -141,15 +157,24 @@ public class DramaClassificationService {
/** 移出分类;短剧本身不受影响。 */
public void unbindDrama(Long id, Long dramaId) {
getExisting(id);
ensureGridMutation(getExisting(id));
classificationDramaMapper.delete(Wrappers.<DramaClassificationDrama>lambdaQuery()
.eq(DramaClassificationDrama::getClassificationId, id)
.eq(DramaClassificationDrama::getDramaId, dramaId));
}
/** 原子替换推荐榜内容与顺序,成功后递增版本。 */
@Transactional(rollbackFor = Exception.class)
public void saveRankingItems(Long id, List<Long> dramaIds) {
rankingService.saveItems(id, dramaIds);
}
private PageResult<DramaBriefVO> pageDramas(Long id, String keyword,
int pageIndex, int pageSize, boolean bound) {
getExisting(id);
DramaClassification classification = getExisting(id);
if (bound && LAYOUT_RANKING.equals(layoutOf(classification))) {
return rankingService.page(id, keyword, pageIndex, pageSize);
}
Page<Drama> page = new Page<>(Math.max(1, pageIndex), Math.max(1, Math.min(pageSize, 100)));
LambdaQueryWrapper<Drama> wrapper = Wrappers.<Drama>lambdaQuery()
.like(StringUtils.hasText(keyword), Drama::getTitle, keyword)
@@ -228,8 +253,12 @@ public class DramaClassificationService {
return entity;
}
/** C 端:分类下关联的全部 dramaId(按关联创建时间 desc)。 */
/** C 端:普通分类保留历史倒序,推荐榜严格按 position 升序。 */
public List<Long> listDramaIdsByClassification(Long classificationId) {
DramaClassification classification = getExisting(classificationId);
if (LAYOUT_RANKING.equals(layoutOf(classification))) {
return rankingService.orderedDramaIds(classificationId);
}
return classificationDramaMapper.selectList(
Wrappers.<DramaClassificationDrama>lambdaQuery()
.eq(DramaClassificationDrama::getClassificationId, classificationId)
@@ -237,10 +266,14 @@ public class DramaClassificationService {
.orderByDesc(DramaClassificationDrama::getId))
.stream()
.map(DramaClassificationDrama::getDramaId)
.collect(Collectors.toList());
.toList();
}
private DramaBriefVO toBrief(Drama drama) {
return toBrief(drama, null);
}
private DramaBriefVO toBrief(Drama drama, Integer position) {
DramaBriefVO vo = new DramaBriefVO();
vo.setId(drama.getId());
vo.setTitle(drama.getTitle());
@@ -248,7 +281,54 @@ public class DramaClassificationService {
vo.setStatus(drama.getStatus());
vo.setTotalEpisodes(drama.getTotalEpisodes());
vo.setSort(drama.getSort());
vo.setPosition(position);
vo.setUpdatedAt(drama.getUpdatedAt());
return vo;
}
private void writeClassificationSettings(DramaClassification entity,
DramaClassificationSaveReqVO req) {
if (StringUtils.hasText(req.getCode())) {
String code = req.getCode().trim();
ensureCodeAvailable(code, entity.getId());
entity.setCode(code);
}
if (StringUtils.hasText(req.getLayoutType())) {
entity.setLayoutType(req.getLayoutType());
} else if (!StringUtils.hasText(entity.getLayoutType())) {
entity.setLayoutType(LAYOUT_GRID);
}
}
private void ensureCodeAvailable(String code, Long excludeId) {
Long count = classificationMapper.selectCount(Wrappers.<DramaClassification>lambdaQuery()
.eq(DramaClassification::getCode, code)
.ne(excludeId != null, DramaClassification::getId, excludeId));
if (count != null && count > 0) {
throw new ServiceException(ErrorCode.DATA_EXISTS, "分类编码已存在");
}
}
private String codeOf(DramaClassification classification) {
return StringUtils.hasText(classification.getCode())
? classification.getCode()
: DEFAULT_CODE_PREFIX + classification.getId();
}
private String layoutOf(DramaClassification classification) {
return StringUtils.hasText(classification.getLayoutType())
? classification.getLayoutType()
: LAYOUT_GRID;
}
private long revisionOf(DramaClassification classification) {
return classification.getRevision() == null ? INITIAL_REVISION : classification.getRevision();
}
private void ensureGridMutation(DramaClassification classification) {
if (LAYOUT_RANKING.equals(layoutOf(classification))) {
throw new ServiceException(ErrorCode.OPERATION_NOT_ALLOWED,
"推荐榜请使用完整排序接口维护内容");
}
}
}
@@ -0,0 +1,161 @@
// Author: fruit.com.cn
package com.fruitshorts.content.service;
import com.baomidou.mybatisplus.core.toolkit.Wrappers;
import com.fruitshorts.common.exception.ErrorCode;
import com.fruitshorts.common.exception.ServiceException;
import com.fruitshorts.common.pojo.PageResult;
import com.fruitshorts.content.dal.entity.Drama;
import com.fruitshorts.content.dal.entity.DramaClassification;
import com.fruitshorts.content.dal.entity.DramaClassificationDrama;
import com.fruitshorts.content.dal.mapper.DramaClassificationDramaMapper;
import com.fruitshorts.content.dal.mapper.DramaClassificationMapper;
import com.fruitshorts.content.dal.mapper.DramaMapper;
import com.fruitshorts.content.vo.DramaBriefVO;
import lombok.RequiredArgsConstructor;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
import org.springframework.util.StringUtils;
import java.util.LinkedHashSet;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.function.Function;
import java.util.stream.Collectors;
/** 推荐榜内容、顺序和版本服务。 */
@Service
@RequiredArgsConstructor
public class DramaRankingService {
private static final int MAX_RANKING_ITEMS = 50;
private static final long INITIAL_REVISION = 1L;
private final DramaClassificationMapper classificationMapper;
private final DramaClassificationDramaMapper relationMapper;
private final DramaMapper dramaMapper;
/** 原子替换推荐榜内容与顺序,成功后递增版本。 */
@Transactional(rollbackFor = Exception.class)
public void saveItems(Long classificationId, List<Long> dramaIds) {
DramaClassification classification = getRanking(classificationId);
List<Long> orderedIds = orderedIds(dramaIds);
ensureDramasExist(orderedIds);
relationMapper.delete(Wrappers.<DramaClassificationDrama>lambdaQuery()
.eq(DramaClassificationDrama::getClassificationId, classificationId));
for (int index = 0; index < orderedIds.size(); index++) {
relationMapper.insert(relation(classificationId, orderedIds.get(index), index + 1));
}
long revision = classification.getRevision() == null
? INITIAL_REVISION
: classification.getRevision();
classification.setRevision(revision + 1);
classificationMapper.updateById(classification);
}
/** 推荐榜后台分页,严格按持久化位置返回。 */
public PageResult<DramaBriefVO> page(Long classificationId, String keyword,
int pageIndex, int pageSize) {
List<DramaClassificationDrama> relations = orderedRelations(classificationId);
if (relations.isEmpty()) {
return PageResult.empty();
}
List<Long> ids = relations.stream().map(DramaClassificationDrama::getDramaId).toList();
Map<Long, Drama> dramas = dramaMapper.selectBatchIds(ids).stream()
.collect(Collectors.toMap(Drama::getId, Function.identity()));
List<DramaBriefVO> all = relations.stream()
.filter(item -> dramas.containsKey(item.getDramaId()))
.map(item -> toBrief(dramas.get(item.getDramaId()), item.getPosition()))
.filter(item -> !StringUtils.hasText(keyword) || item.getTitle().contains(keyword))
.toList();
return pageOf(all, pageIndex, pageSize);
}
/** 分类内全部短剧 id,严格按 position 升序。 */
public List<Long> orderedDramaIds(Long classificationId) {
return orderedRelations(classificationId).stream()
.map(DramaClassificationDrama::getDramaId)
.toList();
}
/** 新增关联时使用的末尾位置。 */
public int nextPosition(Long classificationId) {
return orderedRelations(classificationId).stream()
.map(DramaClassificationDrama::getPosition)
.filter(Objects::nonNull)
.max(Integer::compareTo)
.orElse(0) + 1;
}
private DramaClassification getRanking(Long id) {
DramaClassification classification = id == null ? null : classificationMapper.selectById(id);
if (classification == null) {
throw new ServiceException(ErrorCode.DATA_NOT_FOUND, "分类不存在");
}
if (!DramaClassificationService.LAYOUT_RANKING.equals(classification.getLayoutType())) {
throw new ServiceException(ErrorCode.OPERATION_NOT_ALLOWED, "只有推荐榜分类可以保存榜单顺序");
}
return classification;
}
private List<Long> orderedIds(List<Long> dramaIds) {
LinkedHashSet<Long> unique = new LinkedHashSet<>();
if (dramaIds != null) {
dramaIds.stream().filter(Objects::nonNull).forEach(unique::add);
}
if (unique.size() > MAX_RANKING_ITEMS) {
throw new ServiceException(ErrorCode.BAD_REQUEST, "推荐榜最多 50 部短剧");
}
return List.copyOf(unique);
}
private void ensureDramasExist(List<Long> dramaIds) {
if (dramaIds.isEmpty()) {
return;
}
if (dramaMapper.selectBatchIds(dramaIds).size() != dramaIds.size()) {
throw new ServiceException(ErrorCode.DATA_NOT_FOUND, "榜单中包含不存在的短剧");
}
}
private List<DramaClassificationDrama> orderedRelations(Long classificationId) {
return relationMapper.selectList(Wrappers.<DramaClassificationDrama>lambdaQuery()
.eq(DramaClassificationDrama::getClassificationId, classificationId)
.orderByAsc(DramaClassificationDrama::getPosition)
.orderByDesc(DramaClassificationDrama::getId));
}
private DramaClassificationDrama relation(Long classificationId, Long dramaId, int position) {
DramaClassificationDrama relation = new DramaClassificationDrama();
relation.setClassificationId(classificationId);
relation.setDramaId(dramaId);
relation.setPosition(position);
return relation;
}
private DramaBriefVO toBrief(Drama drama, Integer position) {
DramaBriefVO vo = new DramaBriefVO();
vo.setId(drama.getId());
vo.setTitle(drama.getTitle());
vo.setCover(drama.getCoverUrl());
vo.setStatus(drama.getStatus());
vo.setTotalEpisodes(drama.getTotalEpisodes());
vo.setSort(drama.getSort());
vo.setPosition(position);
vo.setUpdatedAt(drama.getUpdatedAt());
return vo;
}
private PageResult<DramaBriefVO> pageOf(List<DramaBriefVO> items, int pageIndex, int pageSize) {
int safeIndex = Math.max(1, pageIndex);
int safeSize = Math.max(1, Math.min(pageSize, 100));
int fromIndex = (safeIndex - 1) * safeSize;
if (fromIndex >= items.size()) {
return new PageResult<>(items.size(), List.of());
}
int toIndex = Math.min(fromIndex + safeSize, items.size());
return new PageResult<>(items.size(), items.subList(fromIndex, toIndex));
}
}
@@ -464,10 +464,13 @@ public class DramaService {
if (isNew || req.getCover() != null) {
drama.setCoverUrl(req.getCover() == null ? "" : req.getCover());
}
if (isNew || req.getHorizontalCover() != null) {
drama.setHorizontalCoverUrl(
req.getHorizontalCover() == null ? "" : req.getHorizontalCover());
}
if (isNew || req.getTrailerUrl() != null) {
drama.setTrailerUrl(req.getTrailerUrl() == null ? "" : req.getTrailerUrl());
}
drama.setHorizontalCoverUrl(drama.getHorizontalCoverUrl() == null ? "" : drama.getHorizontalCoverUrl());
if (isNew || req.getLanguage() != null) {
drama.setLanguage(req.getLanguage() == null ? "zh-CN" : req.getLanguage());
}
@@ -530,6 +533,7 @@ public class DramaService {
vo.setSynopsisLocales(synopses);
vo.setSubtitle(drama.getSubtitle());
vo.setCover(drama.getCoverUrl());
vo.setHorizontalCover(drama.getHorizontalCoverUrl());
vo.setTrailerUrl(drama.getTrailerUrl());
vo.setLanguage(drama.getLanguage());
vo.setDramaType(dramaTypes.get(0));
@@ -14,6 +14,8 @@ public class ContentTagRespVO {
private String nameId;
private java.util.Map<String, String> locales;
private String bgColor;
/** 语义码,如 NEW_ARRIVAL;空表示未配置。 */
private String code;
private Integer sort;
private Integer status;
}
@@ -21,6 +21,10 @@ public class ContentTagSaveReqVO {
@Pattern(regexp = "^$|^#[0-9A-Fa-f]{6}$", message = "背景色格式应为 #RRGGBB")
private String bgColor;
/** 语义码,如 NEW_ARRIVAL;客户端按码判断板块,留空表示按文案兜底。 */
@Pattern(regexp = "^$|^[A-Z][A-Z0-9_]{0,31}$", message = "语义码需为大写字母、数字或下划线")
private String code;
private Integer sort;
private Integer status;
}
@@ -16,5 +16,7 @@ public class DramaBriefVO {
private String status;
private Integer totalEpisodes;
private Integer sort;
/** 分类内展示位置。 */
private Integer position;
private LocalDateTime updatedAt;
}
@@ -12,9 +12,12 @@ public class DramaClassificationRespVO {
private Long id;
private String name;
private String code;
private String nameEn;
private String nameId;
private java.util.Map<String, String> locales;
private String layoutType;
private Long revision;
private Integer sort;
private Integer status;
private Integer dramaCount;
@@ -3,6 +3,7 @@
package com.fruitshorts.content.vo;
import jakarta.validation.constraints.Size;
import jakarta.validation.constraints.Pattern;
import lombok.Data;
/** 分类新增/编辑请求体。 */
@@ -17,6 +18,13 @@ public class DramaClassificationSaveReqVO {
/** 勾选的语言名称,key 为 zh / en / id。 */
private java.util.Map<String, String> locales;
@Size(max = 64, message = "分类编码最多 64 个字符")
@Pattern(regexp = "^[A-Z0-9_]*$", message = "分类编码只能包含大写字母、数字和下划线")
private String code;
@Pattern(regexp = "^(GRID|RANKING)$", message = "展示类型只支持 GRID 或 RANKING")
private String layoutType;
private Integer sort;
private Integer status;
}
@@ -0,0 +1,18 @@
// Author: fruit.com.cn
package com.fruitshorts.content.vo;
import jakarta.validation.constraints.NotNull;
import jakarta.validation.constraints.Size;
import lombok.Data;
import java.util.List;
/** 推荐榜完整有序短剧列表。 */
@Data
public class DramaRankingItemsReqVO {
@NotNull(message = "请提交推荐榜短剧列表")
@Size(max = 50, message = "推荐榜最多 50 部短剧")
private List<Long> dramaIds;
}
@@ -27,6 +27,8 @@ public class DramaRespVO {
private String description;
private java.util.Map<String, String> synopsisLocales;
private String cover;
/** 横版封面(16:9)。 */
private String horizontalCover;
/** 整剧预告片地址 */
private String trailerUrl;
private String language;
@@ -26,6 +26,8 @@ public class DramaSaveReqVO {
/** 勾选语言的简介。 */
private java.util.Map<String, String> synopsisLocales;
private String cover;
/** 横版封面(16:9),用于横幅等横向位;不传则保持原值。 */
private String horizontalCover;
/** 整剧预告片地址(复用已有的 drama.trailer_url 列) */
private String trailerUrl;
private String language;
@@ -0,0 +1,82 @@
// Author: fruit.com.cn
package com.fruitshorts.content.service;
import com.fruitshorts.common.exception.ServiceException;
import com.fruitshorts.content.dal.entity.DramaClassification;
import com.fruitshorts.content.dal.entity.DramaClassificationDrama;
import com.fruitshorts.content.dal.mapper.DramaClassificationDramaMapper;
import com.fruitshorts.content.dal.mapper.DramaClassificationMapper;
import com.fruitshorts.content.dal.mapper.DramaMapper;
import org.junit.jupiter.api.Test;
import java.util.List;
import static org.assertj.core.api.Assertions.assertThat;
import static org.assertj.core.api.Assertions.assertThatThrownBy;
import static org.mockito.ArgumentMatchers.any;
import static org.mockito.BDDMockito.given;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.never;
import static org.mockito.Mockito.verify;
/** 运营分类布局隔离测试。 */
class DramaClassificationServiceTest {
@Test
void should_keep_legacy_relation_order_when_classification_is_grid() {
Fixture fixture = fixture(DramaClassificationService.LAYOUT_GRID);
given(fixture.relationMapper().selectList(any())).willReturn(List.of(
relation(21L), relation(13L)));
List<Long> ids = fixture.service().listDramaIdsByClassification(7L);
assertThat(ids).containsExactly(21L, 13L);
verify(fixture.rankingService(), never()).orderedDramaIds(any());
}
@Test
void should_use_position_order_when_classification_is_ranking() {
Fixture fixture = fixture(DramaClassificationService.LAYOUT_RANKING);
given(fixture.rankingService().orderedDramaIds(7L)).willReturn(List.of(13L, 21L));
List<Long> ids = fixture.service().listDramaIdsByClassification(7L);
assertThat(ids).containsExactly(13L, 21L);
verify(fixture.relationMapper(), never()).selectList(any());
}
@Test
void should_reject_legacy_bind_when_classification_is_ranking() {
Fixture fixture = fixture(DramaClassificationService.LAYOUT_RANKING);
assertThatThrownBy(() -> fixture.service().bindDramas(7L, List.of(13L)))
.isInstanceOf(ServiceException.class)
.hasMessageContaining("推荐榜请使用完整排序接口");
}
private Fixture fixture(String layoutType) {
DramaClassificationMapper classificationMapper = mock(DramaClassificationMapper.class);
DramaClassificationDramaMapper relationMapper = mock(DramaClassificationDramaMapper.class);
DramaMapper dramaMapper = mock(DramaMapper.class);
DramaRankingService rankingService = mock(DramaRankingService.class);
DramaClassification classification = new DramaClassification();
classification.setId(7L);
classification.setLayoutType(layoutType);
given(classificationMapper.selectById(7L)).willReturn(classification);
DramaClassificationService service = new DramaClassificationService(
classificationMapper, relationMapper, dramaMapper, rankingService);
return new Fixture(service, relationMapper, rankingService);
}
private DramaClassificationDrama relation(Long dramaId) {
DramaClassificationDrama relation = new DramaClassificationDrama();
relation.setDramaId(dramaId);
return relation;
}
private record Fixture(DramaClassificationService service,
DramaClassificationDramaMapper relationMapper,
DramaRankingService rankingService) {
}
}
@@ -0,0 +1,60 @@
// Author: fruit.com.cn
package com.fruitshorts.content.service;
import com.fruitshorts.content.dal.entity.Drama;
import com.fruitshorts.content.dal.entity.DramaClassification;
import com.fruitshorts.content.dal.entity.DramaClassificationDrama;
import com.fruitshorts.content.dal.mapper.DramaClassificationDramaMapper;
import com.fruitshorts.content.dal.mapper.DramaClassificationMapper;
import com.fruitshorts.content.dal.mapper.DramaMapper;
import org.junit.jupiter.api.Test;
import org.mockito.ArgumentCaptor;
import java.util.List;
import static org.assertj.core.api.Assertions.assertThat;
import static org.mockito.ArgumentMatchers.any;
import static org.mockito.BDDMockito.given;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.times;
import static org.mockito.Mockito.verify;
/** 推荐榜内容保存与版本测试。 */
class DramaRankingServiceTest {
@Test
void should_replace_items_in_request_order_and_increment_revision() {
DramaClassificationMapper classificationMapper = mock(DramaClassificationMapper.class);
DramaClassificationDramaMapper relationMapper = mock(DramaClassificationDramaMapper.class);
DramaMapper dramaMapper = mock(DramaMapper.class);
DramaRankingService service = new DramaRankingService(
classificationMapper, relationMapper, dramaMapper);
DramaClassification classification = new DramaClassification();
classification.setId(7L);
classification.setLayoutType(DramaClassificationService.LAYOUT_RANKING);
classification.setRevision(4L);
given(classificationMapper.selectById(7L)).willReturn(classification);
given(dramaMapper.selectBatchIds(List.of(22L, 11L)))
.willReturn(List.of(drama(11L), drama(22L)));
service.saveItems(7L, List.of(22L, 11L, 22L));
ArgumentCaptor<DramaClassificationDrama> captor =
ArgumentCaptor.forClass(DramaClassificationDrama.class);
verify(relationMapper, times(2)).insert(captor.capture());
assertThat(captor.getAllValues()).extracting(DramaClassificationDrama::getDramaId)
.containsExactly(22L, 11L);
assertThat(captor.getAllValues()).extracting(DramaClassificationDrama::getPosition)
.containsExactly(1, 2);
assertThat(classification.getRevision()).isEqualTo(5L);
verify(classificationMapper).updateById(classification);
verify(relationMapper).delete(any());
}
private Drama drama(Long id) {
Drama drama = new Drama();
drama.setId(id);
return drama;
}
}
+5
View File
@@ -33,5 +33,10 @@
<groupId>com.fruitshorts</groupId>
<artifactId>fruitshorts-module-user</artifactId>
</dependency>
<!-- 进度上报路径的剧集/短剧进程内缓存(版本由 Spring Boot BOM 管理) -->
<dependency>
<groupId>com.github.ben-manes.caffeine</groupId>
<artifactId>caffeine</artifactId>
</dependency>
</dependencies>
</project>
@@ -8,6 +8,8 @@ import org.apache.ibatis.annotations.Param;
import org.apache.ibatis.annotations.Select;
import org.apache.ibatis.annotations.Update;
import java.util.List;
public interface WatchProgressMapper extends BaseMapper<WatchProgress> {
/** 按登录用户或匿名设备读取同一部剧的记录,包含逻辑删除行。 */
@@ -40,4 +42,64 @@ public interface WatchProgressMapper extends BaseMapper<WatchProgress> {
WHERE id = #{id}
""")
int updateAny(WatchProgress progress);
/** 固定形状的全字段按 id 更新(绕过逻辑删除过滤)。SQL 不随字段空值变化,
* 缓冲落库时连续调用可被 MyBatis BATCH 执行器合成一个 JDBC batch。 */
@Update("""
UPDATE watch_progress SET
episode_id = #{et.episodeId},
position_ms = #{et.positionMs},
duration_ms = #{et.durationMs},
finished = #{et.finished},
play_count = #{et.playCount},
device_id = #{et.deviceId},
source = #{et.source},
deleted = #{et.deleted}
WHERE id = #{et.id}
""")
int updateRowAny(@Param("et") WatchProgress et);
/** 批量读取同一身份下多部剧的记录(含逻辑删除行),供缓冲落库合并使用。 */
@Select("""
<script>
SELECT * FROM watch_progress
WHERE
<choose>
<when test="userId != null">user_id = #{userId,jdbcType=BIGINT}</when>
<otherwise>user_id IS NULL AND device_id = #{deviceId}</otherwise>
</choose>
AND drama_id IN
<foreach collection="dramaIds" item="d" open="(" separator="," close=")">#{d}</foreach>
</script>
""")
List<WatchProgress> selectAnyForIdentityIn(
@Param("userId") Long userId,
@Param("deviceId") String deviceId,
@Param("dramaIds") List<Long> dramaIds);
/** 落库合并的查询参数:身份(登录用户或匿名设备)+ drama。 */
@lombok.Data
@lombok.NoArgsConstructor
@lombok.AllArgsConstructor
class IdentityDramaPair {
private Long userId;
private String deviceId;
private long dramaId;
}
/** 按多组「身份 + drama」批量读取记录(含逻辑删除行),一组一条索引条件,单次往返。 */
@Select("""
<script>
SELECT * FROM watch_progress WHERE
<foreach collection="pairs" item="p" separator=" OR ">
(
(#{p.userId,jdbcType=BIGINT} IS NOT NULL AND user_id = #{p.userId,jdbcType=BIGINT})
OR
(#{p.userId,jdbcType=BIGINT} IS NULL AND user_id IS NULL AND device_id = #{p.deviceId})
)
AND drama_id = #{p.dramaId}
</foreach>
</script>
""")
List<WatchProgress> selectBatchForPairs(@Param("pairs") List<IdentityDramaPair> pairs);
}
@@ -0,0 +1,355 @@
// Author: fruit.com.cn
package com.fruitshorts.playback.service;
import com.fruitshorts.common.interaction.InteractionIdentity;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
import org.springframework.data.redis.core.SessionCallback;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.data.redis.core.script.DefaultRedisScript;
import org.springframework.stereotype.Component;
import java.time.Duration;
import java.util.ArrayList;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
/**
* 观看进度 Redis 缓冲(write-behind)。
*
* <p>高并发上报的落地形态:POST 只写 Redis(Lua 脚本一次往返完成写状态与入队),由
* {@link WatchProgressFlusher} 定时把缓冲按「账号或设备 + drama」合并后批量 UPSERT
* 进权威表 watch_progress。Redis 不可用时 put 返回 false,调用方回退同步写库。
*
* <p>Redis 结构:
* <ul>
* <li>{@code watch:pg:buf:u:{userId}} / {@code watch:pg:buf:d:{deviceId}}:
* HASH,field=dramaId,value=进度状态,作为读接口的「读己之写」覆盖层,TTL 12h;</li>
* <li>{@code watch:pg:dirty}:LIST,value={identityKey}|{dramaId},待落库队列,
* 定时任务 RPOP 消费;重复条目靠幂等合并消化。</li>
* </ul>
*/
@Slf4j
@Component
@RequiredArgsConstructor
@ConditionalOnProperty(name = "fruitshorts.watch-progress.buffer", havingValue = "true")
public class WatchProgressBuffer {
private static final String BUF_KEY_PREFIX = "watch:pg:buf:";
private static final String DIRTY_KEY = "watch:pg:dirty";
/** 待落库队列长度上限,防止 Redis 在落库停滞时无限膨胀。 */
private static final long MAX_DIRTY = 200_000;
/** 每个身份最多缓冲 30 部剧(续看列表第一页用不完,同时限制 HGETALL 大小)。 */
private static final int MAX_DRAMAS_PER_IDENTITY = 30;
private static final Duration TTL = Duration.ofHours(12);
/**
* 上报热路径的单次往返脚本:写状态、续 TTL、入待落库队列、截断队列一次做完。
* 拆成多条命令时进程若死在「写状态」与「入队」之间,该剧进度只留在 HASH 里、
* 永远不会落库,12 小时后被 TTL 清掉。返回 1 表示该身份的剧数超限,需要补充裁剪。
*/
private static final DefaultRedisScript<Long> PUT_SCRIPT = new DefaultRedisScript<>("""
redis.call('HSET', KEYS[1], ARGV[1], ARGV[2])
redis.call('EXPIRE', KEYS[1], ARGV[3])
redis.call('LPUSH', KEYS[2], ARGV[4])
redis.call('LTRIM', KEYS[2], 0, ARGV[5])
if redis.call('HLEN', KEYS[1]) > tonumber(ARGV[6]) then
return 1
end
return 0
""", Long.class);
private final StringRedisTemplate redis;
/**
* 缓冲中的一条进度状态。ts 为客户端上报时刻(服务端毫秒),用于判断
* 缓冲值是否比数据库行新,以及合并时丢弃乱序旧值。
*/
public record BufferedProgress(
long dramaId,
long episodeId,
long positionMs,
long durationMs,
boolean finished,
String source,
String deviceId,
long ts) {
}
/** dirty 队列弹出的一条待落库引用。 */
public record IdentityRef(String key, Long userId, String deviceId, long dramaId) {
public InteractionIdentity toIdentity() {
return userId != null
? new InteractionIdentity(userId, "")
: new InteractionIdentity(null, deviceId);
}
}
/** 上报进度入缓冲。成功返回 true;Redis 异常返回 false,调用方回退同步写库。 */
public boolean put(InteractionIdentity identity, long dramaId, long episodeId,
long positionMs, long durationMs, boolean finished,
String source, String deviceId) {
try {
String key = identityKey(identity);
String hashKey = BUF_KEY_PREFIX + key;
String field = Long.toString(dramaId);
Long overflow = redis.execute(PUT_SCRIPT,
List.of(hashKey, DIRTY_KEY),
field,
encode(episodeId, positionMs, durationMs, finished, source, deviceId),
Long.toString(TTL.toSeconds()),
key + "|" + field,
Long.toString(MAX_DIRTY - 1),
Integer.toString(MAX_DRAMAS_PER_IDENTITY));
if (overflow != null && overflow > 0) {
// 超出 30 部才做一次 HGETALL + HDEL 裁剪,热路径保持单次往返
trimIdentity(hashKey);
}
return true;
} catch (Exception e) {
log.warn("观看进度写入 Redis 缓冲失败,本次回退同步写库: {}", e.getMessage());
return false;
}
}
/**
* 删除某部剧的缓冲状态,用于用户删除单条观看记录。
*
* <p>缓冲是读接口的权威来源,删库行必须同步删缓冲,否则会被读覆盖层读回;
* 同时缓冲状态消失后,dirty 队列里该条引用在落库时会被丢弃(见
* {@code WatchProgressService#flushRefs}),不会再被写回库。
*/
public boolean remove(InteractionIdentity identity, long dramaId) {
try {
redis.opsForHash().delete(BUF_KEY_PREFIX + identityKey(identity), Long.toString(dramaId));
return true;
} catch (Exception e) {
log.warn("观看进度缓冲删除失败: {}", e.getMessage());
return false;
}
}
/** 清空某身份的全部缓冲状态,用于用户清空观看历史。 */
public boolean clear(InteractionIdentity identity) {
try {
redis.delete(BUF_KEY_PREFIX + identityKey(identity));
return true;
} catch (Exception e) {
log.warn("观看进度缓冲清空失败: {}", e.getMessage());
return false;
}
}
/** 读单个剧的缓冲状态;无缓冲或解码失败返回 null。 */
public BufferedProgress get(InteractionIdentity identity, long dramaId) {
return get(identityKey(identity), dramaId);
}
public BufferedProgress get(String identityKey, long dramaId) {
try {
Object value = redis.opsForHash().get(BUF_KEY_PREFIX + identityKey, Long.toString(dramaId));
return value == null ? null : decode(dramaId, value.toString());
} catch (Exception e) {
log.warn("观看进度读取 Redis 缓冲失败: {}", e.getMessage());
return null;
}
}
/** 读某身份全部缓冲状态(≤30 部剧),读接口覆盖层用。 */
public Map<Long, BufferedProgress> getAll(InteractionIdentity identity) {
return getAll(identityKey(identity));
}
public Map<Long, BufferedProgress> getAll(String identityKey) {
try {
return decodeAll(redis.opsForHash().entries(BUF_KEY_PREFIX + identityKey));
} catch (Exception e) {
log.warn("观看进度读取 Redis 缓冲失败: {}", e.getMessage());
return Map.of();
}
}
/** 批量读取多个身份的缓冲状态(pipeline 单次往返),落库任务用。 */
@SuppressWarnings("unchecked")
public Map<String, Map<Long, BufferedProgress>> getAllBatch(List<String> identityKeys) {
if (identityKeys.isEmpty()) {
return Map.of();
}
try {
List<Object> results = redis.executePipelined(new SessionCallback<>() {
@Override
public Object execute(org.springframework.data.redis.core.RedisOperations operations) {
for (String key : identityKeys) {
operations.opsForHash().entries(BUF_KEY_PREFIX + key);
}
return null;
}
});
Map<String, Map<Long, BufferedProgress>> result = new LinkedHashMap<>();
for (int i = 0; i < identityKeys.size(); i++) {
Object raw = results.get(i);
result.put(identityKeys.get(i),
raw instanceof Map<?, ?> map ? decodeAll((Map<Object, Object>) map) : Map.of());
}
return result;
} catch (Exception e) {
log.warn("观看进度批量读取 Redis 缓冲失败: {}", e.getMessage());
throw new IllegalStateException("Redis 缓冲批量读取失败", e);
}
}
/** 落库任务从 dirty 队头弹出最多 max 条(按 identity+drama 去重,保留顺序)。 */
public List<IdentityRef> drain(int max) {
List<String> raw;
try {
raw = redis.opsForList().leftPop(DIRTY_KEY, Math.max(1, max));
} catch (Exception e) {
log.warn("观看进度 dirty 队列弹出失败: {}", e.getMessage());
return List.of();
}
if (raw == null || raw.isEmpty()) {
return List.of();
}
LinkedHashMap<String, IdentityRef> dedup = new LinkedHashMap<>();
for (String value : raw) {
int split = value.lastIndexOf('|');
if (split <= 0) {
continue;
}
String key = value.substring(0, split);
long dramaId;
try {
dramaId = Long.parseLong(value.substring(split + 1));
} catch (NumberFormatException ignore) {
continue;
}
dedup.putIfAbsent(key + "|" + dramaId, toRef(key, dramaId));
}
return new ArrayList<>(dedup.values());
}
/** 落库失败的条目退回队列,等待下个周期重试。 */
public void requeue(List<IdentityRef> refs) {
try {
List<String> raw = refs.stream()
.map(r -> r.key() + "|" + r.dramaId())
.toList();
redis.opsForList().rightPushAll(DIRTY_KEY, raw);
redis.opsForList().trim(DIRTY_KEY, 0, MAX_DIRTY - 1);
} catch (Exception e) {
log.error("观看进度缓冲条目退回队列失败,这批进度将丢失: {}", e.getMessage());
}
}
/** 身份的 Redis 键:登录用 u:{userId},匿名用 d:{deviceId}。 */
public String identityKey(InteractionIdentity identity) {
return identity.authenticated()
? "u:" + identity.userId()
: "d:" + cleanToken(identity.deviceId());
}
private IdentityRef toRef(String key, long dramaId) {
int split = key.indexOf(':');
if (split <= 0) {
return new IdentityRef(key, null, key, dramaId);
}
String scope = key.substring(0, split);
String id = key.substring(split + 1);
if ("u".equals(scope)) {
try {
return new IdentityRef(key, Long.valueOf(id), "", dramaId);
} catch (NumberFormatException ignore) {
// 落到匿名分支
}
}
return new IdentityRef(key, null, id, dramaId);
}
private String encode(long episodeId, long positionMs, long durationMs,
boolean finished, String source, String deviceId) {
return episodeId + "|" + positionMs + "|" + durationMs + "|" + (finished ? 1 : 0)
+ "|" + cleanToken(source) + "|" + cleanToken(deviceId) + "|" + System.currentTimeMillis();
}
private BufferedProgress decode(long dramaId, String value) {
try {
String[] parts = value.split("\\|", -1);
if (parts.length != 7) {
return null;
}
return new BufferedProgress(
dramaId,
Long.parseLong(parts[0]),
Long.parseLong(parts[1]),
Long.parseLong(parts[2]),
"1".equals(parts[3]),
parts[4],
parts[5],
Long.parseLong(parts[6]));
} catch (NumberFormatException e) {
log.debug("观看进度缓冲值解码失败,忽略: {}", value);
return null;
}
}
private Map<Long, BufferedProgress> decodeAll(Map<Object, Object> raw) {
if (raw == null || raw.isEmpty()) {
return Map.of();
}
Map<Long, BufferedProgress> result = new LinkedHashMap<>();
for (Map.Entry<Object, Object> e : raw.entrySet()) {
long dramaId;
try {
dramaId = Long.parseLong(e.getKey().toString());
} catch (NumberFormatException ignore) {
continue;
}
BufferedProgress state = decode(dramaId, e.getValue().toString());
if (state != null) {
result.put(dramaId, state);
}
}
return result;
}
/** 限制单身份缓冲的剧数:超出时淘汰最旧条目,保证 HGETALL 与读覆盖层开销有界。 */
private void trimIdentity(String hashKey) {
Long size = redis.opsForHash().size(hashKey);
if (size == null || size <= MAX_DRAMAS_PER_IDENTITY) {
return;
}
Map<Object, Object> all = redis.opsForHash().entries(hashKey);
List<Map.Entry<Object, Long>> byTs = new ArrayList<>(all.size());
for (Map.Entry<Object, Object> e : all.entrySet()) {
long ts = 0;
if (e.getValue() != null) {
String[] parts = e.getValue().toString().split("\\|", -1);
try {
ts = Long.parseLong(parts[parts.length - 1]);
} catch (NumberFormatException ignore) {
// ts 取不到当最旧,优先淘汰
}
}
byTs.add(Map.entry(e.getKey(), ts));
}
byTs.sort(Map.Entry.comparingByValue());
int toRemove = Math.max(0, byTs.size() - MAX_DRAMAS_PER_IDENTITY);
if (toRemove > 0) {
redis.opsForHash().delete(hashKey,
byTs.subList(0, toRemove).stream().map(Map.Entry::getKey).toArray());
}
}
/** value 中的 source/deviceId 不允许出现分隔符 | 与换行,统一清洗;长度截到 128。 */
private String cleanToken(String token) {
if (token == null) {
return "";
}
String cleaned = token.replace("|", "").replace("\n", "").replace("\r", "").trim();
return cleaned.length() > 128 ? cleaned.substring(0, 128) : cleaned;
}
}
@@ -0,0 +1,43 @@
// Author: fruit.com.cn
package com.fruitshorts.playback.service;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
import org.springframework.scheduling.annotation.Scheduled;
import org.springframework.stereotype.Component;
/**
* 观看进度缓冲落库任务:定时把 Redis 缓冲里的进度按身份分组合并进 watch_progress。
*
* <p>只在开启缓冲(fruitshorts.watch-progress.buffer=true)的应用内生效,
* app-api 的 prod profile 开启,admin-api 与测试环境不受影响。
* fixedDelay 串行执行,同一时刻只有一个落库批次在跑。
*/
@Slf4j
@Component
@RequiredArgsConstructor
@ConditionalOnProperty(name = "fruitshorts.watch-progress.buffer", havingValue = "true")
public class WatchProgressFlusher {
private final WatchProgressService watchProgressService;
@Value("${fruitshorts.watch-progress.flush-batch-size:10000}")
private int batchSize;
@Scheduled(
fixedDelayString = "${fruitshorts.watch-progress.flush-interval-ms:2000}",
initialDelayString = "${fruitshorts.watch-progress.flush-initial-delay-ms:15000}")
public void flush() {
try {
int flushed = watchProgressService.flushBuffered(batchSize);
if (flushed > 0) {
log.debug("观看进度缓冲落库完成,本批次 {} 条", flushed);
}
} catch (Exception e) {
log.warn("观看进度缓冲落库失败,等待下个周期重试: {}", e.getMessage());
}
}
}
@@ -19,29 +19,47 @@ import com.fruitshorts.playback.dal.mapper.WatchHistoryMapper;
import com.fruitshorts.playback.dal.mapper.WatchProgressMapper;
import com.fruitshorts.playback.vo.ProgressRespVO;
import com.fruitshorts.playback.vo.ProgressSaveReqVO;
import com.github.benmanes.caffeine.cache.Cache;
import com.github.benmanes.caffeine.cache.Caffeine;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.apache.ibatis.session.ExecutorType;
import org.apache.ibatis.session.SqlSession;
import org.apache.ibatis.session.SqlSessionFactory;
import org.springframework.beans.factory.ObjectProvider;
import org.springframework.dao.DuplicateKeyException;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
import org.springframework.transaction.support.TransactionTemplate;
import org.springframework.util.StringUtils;
import java.time.Duration;
import java.time.Instant;
import java.time.LocalDateTime;
import java.time.ZoneId;
import java.util.ArrayList;
import java.util.Comparator;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.Set;
import java.util.stream.Collectors;
/**
* 观看进度。
*
* <p>每次上报都写库在高并发下会成为瓶颈(1 万并发 × 每 10 秒一次 ≈ 1000 写/秒),
* 所以生产形态是「先写 Redis,后台任务按登录账号或设备 + drama 合并后批量 UPSERT」。
* 这里先落地权威表与合并规则,缓存层在接入 Redis 时补齐,接口契约不变。
* <p>生产形态(fruitshorts.watch-progress.buffer=true,prod 已开启):
* POST 只写 Redis 缓冲({@link WatchProgressBuffer})立即返回,
* {@link WatchProgressFlusher} 定时把缓冲按「账号或设备 + drama」合并后
* 批量 UPSERT 进权威表,读接口用缓冲覆盖保证读己之写。
* 缓冲关闭或 Redis 异常时自动回退同步写库,接口契约不变。
*
* <p>合并规则:以客户端上报的 positionMs 为准,但只在「更靠后」时覆盖,
* 避免用户换设备后进度倒退。
*/
@Slf4j
@Service
@RequiredArgsConstructor
public class WatchProgressService {
@@ -53,68 +71,101 @@ public class WatchProgressService {
private final WatchHistoryMapper historyMapper;
private final DramaService dramaService;
private final EpisodeService episodeService;
private final ObjectProvider<WatchProgressBuffer> bufferProvider;
private final SqlSessionFactory sqlSessionFactory;
private final TransactionTemplate transactionTemplate;
/** 已发布剧集/短剧的短 TTL 进程内缓存:上报路径的热点校验,免去每次两条 DB 查询。 */
private final Cache<Long, DramaEpisode> episodeCache = Caffeine.newBuilder()
.maximumSize(50_000)
.expireAfterWrite(Duration.ofMinutes(5))
.build();
private final Cache<Long, Drama> dramaCache = Caffeine.newBuilder()
.maximumSize(50_000)
.expireAfterWrite(Duration.ofMinutes(5))
.build();
@Transactional(rollbackFor = Exception.class)
public ProgressRespVO save(Long userId, ProgressSaveReqVO req) {
return save(new InteractionIdentity(userId, ""), req);
}
@Transactional(rollbackFor = Exception.class)
public ProgressRespVO save(InteractionIdentity identity, ProgressSaveReqVO req) {
DramaEpisode episode = episodeService.getPublished(req.getEpisodeId());
Drama drama = dramaService.getPublished(episode.getDramaId());
DramaEpisode episode = publishedEpisode(req.getEpisodeId());
Drama drama = publishedDrama(episode.getDramaId());
long position = req.getPositionMs() == null ? 0L : Math.max(0L, req.getPositionMs());
long duration = req.getDurationMs() == null ? 0L : Math.max(0L, req.getDurationMs());
boolean finished = Boolean.TRUE.equals(req.getFinished())
|| (duration > 0 && position + FINISH_THRESHOLD_MS >= duration);
LoadedProgress loaded = loadForSave(identity, drama.getId(), episode, position, duration,
finished, req);
WatchProgress existing = loaded.progress();
if (loaded.created()) {
appendHistory(identity, drama.getId(), episode.getId(), position, duration,
existing.getSource(), existing.getDeviceId());
return toResp(progressMapper.selectById(existing.getId()));
// 高并发形态:写 Redis 缓冲立即返回,落库任务稍后合并进权威表
WatchProgressBuffer buffer = bufferProvider.getIfAvailable();
if (buffer != null && buffer.put(identity, drama.getId(), episode.getId(),
position, duration, finished, req.getSource(), req.getDeviceId())) {
ProgressRespVO vo = new ProgressRespVO();
vo.setDramaId(drama.getId());
vo.setEpisodeId(episode.getId());
vo.setPositionMs(position);
vo.setDurationMs(duration);
vo.setFinished(finished);
vo.setUpdatedAt(LocalDateTime.now());
return vo;
}
return saveToDb(identity, drama, episode, position, duration, finished, req);
}
boolean hidden = existing.getDeleted() != null && existing.getDeleted() != 0;
boolean sameEpisode = existing.getEpisodeId() != null
&& existing.getEpisodeId().equals(episode.getId());
if (hidden && sameEpisode) {
existing.setPlayCount((existing.getPlayCount() == null ? 0 : existing.getPlayCount()) + 1);
appendHistory(identity, drama.getId(), episode.getId(), position, duration,
req.getSource(), existing.getDeviceId());
}
if (!sameEpisode) {
// 换集:直接采纳新集与新的播放位置
existing.setEpisodeId(episode.getId());
existing.setPositionMs(position);
existing.setDurationMs(duration);
existing.setFinished(finished ? 1 : 0);
existing.setPlayCount((existing.getPlayCount() == null ? 0 : existing.getPlayCount()) + 1);
appendHistory(identity, drama.getId(), episode.getId(), position, duration,
req.getSource(), existing.getDeviceId());
} else {
existing.setDurationMs(Math.max(existing.getDurationMs() == null ? 0L : existing.getDurationMs(),
duration));
if (position >= (existing.getPositionMs() == null ? 0L : existing.getPositionMs())) {
/** 同步写库路径:缓冲关闭或 Redis 异常时的回退,合并规则与缓冲落库一致。 */
private ProgressRespVO saveToDb(InteractionIdentity identity, Drama drama, DramaEpisode episode,
long position, long duration, boolean finished,
ProgressSaveReqVO req) {
return transactionTemplate.execute(status -> {
LoadedProgress loaded = loadForSave(identity, drama.getId(), episode, position, duration,
finished, req);
WatchProgress existing = loaded.progress();
if (loaded.created()) {
appendHistory(identity, drama.getId(), episode.getId(), position, duration,
existing.getSource(), existing.getDeviceId());
return toResp(progressMapper.selectById(existing.getId()));
}
boolean hidden = existing.getDeleted() != null && existing.getDeleted() != 0;
boolean sameEpisode = existing.getEpisodeId() != null
&& existing.getEpisodeId().equals(episode.getId());
if (hidden && sameEpisode) {
existing.setPlayCount((existing.getPlayCount() == null ? 0 : existing.getPlayCount()) + 1);
appendHistory(identity, drama.getId(), episode.getId(), position, duration,
req.getSource(), existing.getDeviceId());
}
if (!sameEpisode) {
// 换集:直接采纳新集与新的播放位置
existing.setEpisodeId(episode.getId());
existing.setPositionMs(position);
existing.setDurationMs(duration);
existing.setFinished(finished ? 1 : 0);
existing.setPlayCount((existing.getPlayCount() == null ? 0 : existing.getPlayCount()) + 1);
appendHistory(identity, drama.getId(), episode.getId(), position, duration,
req.getSource(), existing.getDeviceId());
} else {
existing.setDurationMs(Math.max(existing.getDurationMs() == null ? 0L : existing.getDurationMs(),
duration));
if (position >= (existing.getPositionMs() == null ? 0L : existing.getPositionMs())) {
existing.setPositionMs(position);
}
if (finished) {
existing.setFinished(1);
}
}
if (finished) {
existing.setFinished(1);
existing.setDeviceId(identity.authenticated()
? (req.getDeviceId() == null ? "" : req.getDeviceId())
: identity.deviceId());
existing.setSource(req.getSource() == null ? "" : req.getSource());
if (hidden) {
existing.setDeleted(0);
progressMapper.updateAny(existing);
} else {
progressMapper.updateById(existing);
}
}
existing.setDeviceId(identity.authenticated()
? (req.getDeviceId() == null ? "" : req.getDeviceId())
: identity.deviceId());
existing.setSource(req.getSource() == null ? "" : req.getSource());
if (hidden) {
existing.setDeleted(0);
progressMapper.updateAny(existing);
} else {
progressMapper.updateById(existing);
}
return toResp(progressMapper.selectById(existing.getId()));
return toResp(progressMapper.selectById(existing.getId()));
});
}
private LoadedProgress loadForSave(InteractionIdentity identity, Long dramaId,
@@ -169,6 +220,16 @@ public class WatchProgressService {
WatchProgress progress = progressMapper.selectOne(identityQuery(identity)
.eq(WatchProgress::getDramaId, dramaId)
.last("limit 1"));
// 读己之写:缓冲里有比库行更新的状态时以缓冲为准
WatchProgressBuffer buffer = bufferProvider.getIfAvailable();
if (buffer != null) {
WatchProgressBuffer.BufferedProgress buffered = buffer.get(identity, dramaId);
if (buffered != null
&& (progress == null
|| buffered.ts() > toMillis(progress.getUpdatedAt()))) {
return toResp(buffered, progress);
}
}
return progress == null ? null : toResp(progress);
}
@@ -186,7 +247,59 @@ public class WatchProgressService {
identityQuery(identity)
.orderByDesc(WatchProgress::getUpdatedAt)
.orderByDesc(WatchProgress::getId));
return new PageResult<>(result.getTotal(), enrichDisplay(result.getRecords()));
// 缓冲的条目都是最近上报的,只会出现在第一页;缓冲关闭时走原逻辑
WatchProgressBuffer buffer = bufferProvider.getIfAvailable();
if (buffer == null || safeIndex > 1) {
return new PageResult<>(result.getTotal(), enrichDisplay(result.getRecords()));
}
Map<Long, WatchProgressBuffer.BufferedProgress> states = buffer.getAll(identity);
if (states.isEmpty()) {
return new PageResult<>(result.getTotal(), enrichDisplay(result.getRecords()));
}
List<WatchProgress> merged = new ArrayList<>();
Set<Long> pageDramas = new HashSet<>();
for (WatchProgress row : result.getRecords()) {
pageDramas.add(row.getDramaId());
WatchProgressBuffer.BufferedProgress buffered = row.getDramaId() == null
? null
: states.get(row.getDramaId());
merged.add(overlayRow(row, buffered));
}
long total = result.getTotal();
// 缓冲里有、页里没有的剧补进第一页(刚上报首集、库里还没落的场景)
List<WatchProgressBuffer.BufferedProgress> extra = states.entrySet().stream()
.filter(e -> !pageDramas.contains(e.getKey()))
.map(Map.Entry::getValue)
.sorted(Comparator.comparingLong(WatchProgressBuffer.BufferedProgress::ts).reversed())
.toList();
if (!extra.isEmpty()) {
List<Long> extraDramaIds = extra.stream()
.map(WatchProgressBuffer.BufferedProgress::dramaId)
.toList();
Map<Long, WatchProgress> rowByDrama = progressMapper.selectAnyForIdentityIn(
identity.userId(), identity.deviceId(), extraDramaIds)
.stream()
.collect(Collectors.toMap(WatchProgress::getDramaId, row -> row, (a, b) -> a));
for (WatchProgressBuffer.BufferedProgress buffered : extra) {
WatchProgress existing = rowByDrama.get(buffered.dramaId());
// 用户已删除该剧(库里是逻辑删除行):缓冲状态不能被读覆盖层再读回来
if (existing != null && existing.getDeleted() != null && existing.getDeleted() != 0) {
continue;
}
merged.add(transientRow(buffered));
if (existing == null) {
total++;
}
}
}
merged.sort(Comparator.comparing(WatchProgress::getUpdatedAt,
Comparator.nullsFirst(Comparator.naturalOrder())).reversed());
List<WatchProgress> page = merged.size() > safeSize
? merged.subList(0, safeSize)
: merged;
return new PageResult<>(total, enrichDisplay(page));
}
@Transactional(rollbackFor = Exception.class)
@@ -196,6 +309,12 @@ public class WatchProgressService {
@Transactional(rollbackFor = Exception.class)
public void remove(InteractionIdentity identity, Long dramaId) {
// 缓冲是读接口的权威来源:先删缓冲再删库行,否则删掉的记录会被读覆盖层读回、
// 并被下一次落库把行复活。
WatchProgressBuffer buffer = bufferProvider.getIfAvailable();
if (buffer != null && dramaId != null) {
buffer.remove(identity, dramaId);
}
progressMapper.delete(identityQuery(identity)
.eq(WatchProgress::getDramaId, dramaId));
}
@@ -207,9 +326,198 @@ public class WatchProgressService {
@Transactional(rollbackFor = Exception.class)
public void clear(InteractionIdentity identity) {
WatchProgressBuffer buffer = bufferProvider.getIfAvailable();
if (buffer != null) {
buffer.clear(identity);
}
progressMapper.delete(identityQuery(identity));
}
/**
* 缓冲落库:由 {@link WatchProgressFlusher} 定时调用。
* 消费 dirty 队列,pipeline 读状态、分块成对查行,先在内存里合并出
* 「新增进度 / 新增流水 / 更新行」三组,再在一个 JDBC batch 会话内
* 按类型连续攒批执行、一次提交(交替提交会退化成逐条往返,吞吐只有约 200 行/秒)。
*
* @return 本批次合并的进度条数
*/
public int flushBuffered(int batchSize) {
WatchProgressBuffer buffer = bufferProvider.getIfAvailable();
if (buffer == null) {
return 0;
}
List<WatchProgressBuffer.IdentityRef> refs = buffer.drain(batchSize);
if (refs.isEmpty()) {
return 0;
}
try {
return flushRefs(buffer, refs);
} catch (Exception ex) {
log.warn("观看进度缓冲合并失败,整批退回队列稍后重试: {}", ex.getMessage());
buffer.requeue(refs);
return 0;
}
}
private int flushRefs(WatchProgressBuffer buffer, List<WatchProgressBuffer.IdentityRef> refs) {
// 1) pipeline 批量读缓冲状态,key -> (dramaId -> state)
List<String> identityKeys = refs.stream()
.map(WatchProgressBuffer.IdentityRef::key)
.distinct()
.toList();
Map<String, Map<Long, WatchProgressBuffer.BufferedProgress>> statesByIdentity =
buffer.getAllBatch(identityKeys);
// 2) 组装待合并条目;状态读不到视为异常(ref 必然来自 put),整批退回
List<WatchProgressBuffer.IdentityRef> pendingRefs = new ArrayList<>(refs.size());
List<WatchProgressBuffer.BufferedProgress> pendingStates = new ArrayList<>(refs.size());
List<WatchProgressMapper.IdentityDramaPair> pairs = new ArrayList<>(refs.size());
for (WatchProgressBuffer.IdentityRef ref : refs) {
WatchProgressBuffer.BufferedProgress state =
statesByIdentity.getOrDefault(ref.key(), Map.of()).get(ref.dramaId());
if (state == null) {
continue;
}
pendingRefs.add(ref);
pendingStates.add(state);
pairs.add(new WatchProgressMapper.IdentityDramaPair(
ref.userId(), ref.deviceId(), ref.dramaId()));
}
if (pendingRefs.isEmpty()) {
// 缓冲状态已消失(用户清空/删除历史,或 HASH 12h TTL 到期)。此时 ref 已无
// 可落库的内容,必须丢弃:退回队列会在下个周期被原样弹出、再清空、再退回,
// 这批僵尸条目将永久占住 dirty 队列配额。
log.debug("观看进度缓冲条目已无对应状态,丢弃 {} 条", refs.size());
return 0;
}
// 3) 分块成对查询已有行(每块 100 组 OR 索引条件)
Map<String, WatchProgress> rowByPair = new HashMap<>(pendingRefs.size());
for (int i = 0; i < pairs.size(); i += 100) {
List<WatchProgressMapper.IdentityDramaPair> chunk =
pairs.subList(i, Math.min(i + 100, pairs.size()));
for (WatchProgress row : progressMapper.selectBatchForPairs(chunk)) {
rowByPair.put(rowKey(row.getUserId(), row.getDeviceId(), row.getDramaId()), row);
}
}
// 4) 计算阶段:纯内存合并出「新增进度 / 新增流水 / 更新行」三组
List<WatchProgress> insertProgress = new ArrayList<>(pendingRefs.size());
List<WatchHistory> insertHistory = new ArrayList<>(pendingRefs.size());
List<WatchProgress> updateRows = new ArrayList<>(pendingRefs.size());
for (int i = 0; i < pendingRefs.size(); i++) {
WatchProgress row = rowByPair.get(rowKey(
pendingRefs.get(i).userId(),
pendingRefs.get(i).deviceId(),
pendingStates.get(i).dramaId()));
planOne(pendingRefs.get(i).toIdentity(), pendingStates.get(i), row,
insertProgress, insertHistory, updateRows);
}
// 5) 执行阶段:同一个 batch 会话按类型连续执行,最后一次提交。
// MyBatis BATCH 执行器只合并「连续同形状」的语句,进度/流水交替提交会
// 退化成逐条网络往返(实测只有约 200 行/秒),必须分组攒批。
try (SqlSession session = sqlSessionFactory.openSession(ExecutorType.BATCH, false)) {
WatchProgressMapper batchProgress = session.getMapper(WatchProgressMapper.class);
WatchHistoryMapper batchHistory = session.getMapper(WatchHistoryMapper.class);
for (WatchProgress created : insertProgress) {
batchProgress.insert(created);
}
for (WatchHistory history : insertHistory) {
batchHistory.insert(history);
}
for (WatchProgress row : updateRows) {
batchProgress.updateRowAny(row);
}
session.commit();
}
return pendingRefs.size();
}
/** 计算单条缓冲的合并动作:只改内存对象不触库,产出归入三组待执行列表。 */
private void planOne(InteractionIdentity identity,
WatchProgressBuffer.BufferedProgress state,
WatchProgress row,
List<WatchProgress> insertProgress,
List<WatchHistory> insertHistory,
List<WatchProgress> updateRows) {
if (row == null) {
WatchProgress created = new WatchProgress();
created.setUserId(identity.userId());
created.setDramaId(state.dramaId());
created.setEpisodeId(state.episodeId());
created.setPositionMs(state.positionMs());
created.setDurationMs(state.durationMs());
created.setFinished(state.finished() ? 1 : 0);
created.setPlayCount(1);
created.setDeviceId(identity.authenticated()
? state.deviceId()
: identity.deviceId());
created.setSource(state.source());
insertProgress.add(created);
insertHistory.add(historyOf(identity, state, created.getDeviceId()));
return;
}
boolean hidden = row.getDeleted() != null && row.getDeleted() != 0;
long rowTs = toMillis(row.getUpdatedAt());
if (hidden && rowTs > 0 && state.ts() <= rowTs) {
// 逻辑删除会刷新 updated_at:上报时间早于它的条目是删除前排队的迟到数据,
// 丢弃即可,否则会把已删记录重新写活。
return;
}
boolean sameEpisode = row.getEpisodeId() != null
&& row.getEpisodeId().equals(state.episodeId());
if (hidden && sameEpisode) {
row.setPlayCount((row.getPlayCount() == null ? 0 : row.getPlayCount()) + 1);
insertHistory.add(historyOf(identity, state, row.getDeviceId()));
} else if (!sameEpisode) {
// 换集:直接采纳新集与新的播放位置
row.setEpisodeId(state.episodeId());
row.setPositionMs(state.positionMs());
row.setDurationMs(state.durationMs());
row.setFinished(state.finished() ? 1 : 0);
row.setPlayCount((row.getPlayCount() == null ? 0 : row.getPlayCount()) + 1);
insertHistory.add(historyOf(identity, state, row.getDeviceId()));
} else {
row.setDurationMs(Math.max(row.getDurationMs() == null ? 0L : row.getDurationMs(),
state.durationMs()));
if (state.positionMs() >= (row.getPositionMs() == null ? 0L : row.getPositionMs())) {
row.setPositionMs(state.positionMs());
}
if (state.finished()) {
row.setFinished(1);
}
}
row.setDeviceId(identity.authenticated() ? state.deviceId() : identity.deviceId());
row.setSource(state.source());
if (hidden) {
row.setDeleted(0);
}
updateRows.add(row);
}
/** 组装一条观看流水(首次观剧/换集各记一条)。 */
private WatchHistory historyOf(InteractionIdentity identity,
WatchProgressBuffer.BufferedProgress state,
String deviceId) {
WatchHistory history = new WatchHistory();
history.setUserId(identity.userId());
history.setDramaId(state.dramaId());
history.setEpisodeId(state.episodeId());
history.setPositionMs(state.positionMs());
history.setDurationMs(state.durationMs());
history.setSource(state.source() == null ? "" : state.source());
history.setDeviceId(identity.authenticated()
? (deviceId == null ? "" : deviceId)
: identity.deviceId());
return history;
}
/** 行定位键:登录身份用 userId,匿名用 deviceId。 */
private String rowKey(Long userId, String deviceId, Long dramaId) {
return (userId != null ? "u:" + userId : "d:" + deviceId) + ":" + dramaId;
}
private ProgressRespVO toResp(WatchProgress progress) {
ProgressRespVO vo = new ProgressRespVO();
vo.setDramaId(progress.getDramaId());
@@ -222,6 +530,68 @@ public class WatchProgressService {
return vo;
}
/** 以缓冲状态为主、库行 playCount 兜底构建续看响应。 */
private ProgressRespVO toResp(WatchProgressBuffer.BufferedProgress buffered, WatchProgress row) {
ProgressRespVO vo = new ProgressRespVO();
vo.setDramaId(buffered.dramaId());
vo.setEpisodeId(buffered.episodeId());
vo.setPositionMs(buffered.positionMs());
vo.setDurationMs(buffered.durationMs());
vo.setFinished(buffered.finished());
vo.setPlayCount(row == null || row.getPlayCount() == null ? 1 : row.getPlayCount());
vo.setUpdatedAt(fromMillis(buffered.ts()));
return vo;
}
/** 库行被缓冲覆盖时返回覆盖后的瞬态行;缓冲不比库行新时原样返回。 */
private WatchProgress overlayRow(WatchProgress row, WatchProgressBuffer.BufferedProgress buffered) {
if (buffered == null || row.getUpdatedAt() == null
|| buffered.ts() <= toMillis(row.getUpdatedAt())) {
return row;
}
WatchProgress overlaid = transientRow(buffered);
overlaid.setPlayCount(row.getPlayCount());
return overlaid;
}
private WatchProgress transientRow(WatchProgressBuffer.BufferedProgress buffered) {
WatchProgress row = new WatchProgress();
row.setDramaId(buffered.dramaId());
row.setEpisodeId(buffered.episodeId());
row.setPositionMs(buffered.positionMs());
row.setDurationMs(buffered.durationMs());
row.setFinished(buffered.finished() ? 1 : 0);
row.setPlayCount(1);
row.setUpdatedAt(fromMillis(buffered.ts()));
return row;
}
private long toMillis(LocalDateTime time) {
return time == null ? 0L : time.atZone(ZoneId.systemDefault()).toInstant().toEpochMilli();
}
private LocalDateTime fromMillis(long epochMillis) {
return LocalDateTime.ofInstant(Instant.ofEpochMilli(epochMillis), ZoneId.systemDefault());
}
private DramaEpisode publishedEpisode(Long episodeId) {
DramaEpisode episode = episodeCache.getIfPresent(episodeId);
if (episode == null) {
episode = episodeService.getPublished(episodeId);
episodeCache.put(episodeId, episode);
}
return episode;
}
private Drama publishedDrama(Long dramaId) {
Drama drama = dramaCache.getIfPresent(dramaId);
if (drama == null) {
drama = dramaService.getPublished(dramaId);
dramaCache.put(dramaId, drama);
}
return drama;
}
private List<ProgressRespVO> enrichDisplay(List<WatchProgress> records) {
if (records.isEmpty()) {
return List.of();
@@ -256,6 +626,7 @@ public class WatchProgressService {
vo.setTitleLocales(titles);
vo.setDramaTitle(ContentLocaleTexts.value(titles, ContentLocaleTexts.ZH));
vo.setDramaCover(drama.getCoverUrl());
vo.setDramaCoverLandscape(drama.getHorizontalCoverUrl());
vo.setTotalEpisodes(drama.getTotalEpisodes());
vo.setViewCount(drama.getViewCount());
}
@@ -296,6 +667,36 @@ public class WatchProgressService {
historyMapper.insert(history);
}
/**
* 把某个身份缓冲里尚未落库的进度立即写进权威表。
* 登录合并前必须先调用:合并只扫库表,缓冲里的设备进度会被漏掉,
* 随后定时落库又会生成一条登录用户看不到的匿名孤儿行。
*
* @return 本次合并的条目数
*/
public int flushIdentity(InteractionIdentity identity) {
WatchProgressBuffer buffer = bufferProvider.getIfAvailable();
if (buffer == null) {
return 0;
}
Map<Long, WatchProgressBuffer.BufferedProgress> states = buffer.getAll(identity);
if (states.isEmpty()) {
return 0;
}
String key = buffer.identityKey(identity);
List<WatchProgressBuffer.IdentityRef> refs = states.keySet().stream()
.map(dramaId -> new WatchProgressBuffer.IdentityRef(
key, identity.userId(), identity.deviceId(), dramaId))
.toList();
try {
return flushRefs(buffer, refs);
} catch (Exception ex) {
// 预写失败不影响合并本身:dirty 队列里的引用还在,下个周期会再落库
log.warn("观看进度缓冲立即落库失败,跳过预写: {}", ex.getMessage());
return 0;
}
}
/**
* 登录时合并设备进度和观看流水。
*
@@ -307,6 +708,9 @@ public class WatchProgressService {
if (userId == null || !StringUtils.hasText(deviceId)) {
return new MergeResult(0, 0, 0, 0);
}
InteractionIdentity deviceIdentity = new InteractionIdentity(null, deviceId);
// 缓冲里可能还有没落库的设备进度,先落库再合并,否则这段进度会被漏掉
flushIdentity(deviceIdentity);
List<WatchProgress> deviceProgress = progressMapper.selectList(
Wrappers.<WatchProgress>lambdaQuery()
.isNull(WatchProgress::getUserId)
@@ -366,6 +770,11 @@ public class WatchProgressService {
}
historyMapper.deleteById(device.getId());
}
// 设备侧进度已迁走或淘汰,缓冲留着只会让读覆盖层把已删行读回来
WatchProgressBuffer buffer = bufferProvider.getIfAvailable();
if (buffer != null) {
buffer.clear(deviceIdentity);
}
return new MergeResult(
progressMigrated, progressIgnored, historyMigrated, historyIgnored);
}
@@ -19,6 +19,8 @@ public class ProgressRespVO {
private Map<String, String> titleLocales;
/** 短剧封面,仅列表类接口批量装配。 */
private String dramaCover;
/** 短剧横版封面,仅列表类接口批量装配;为空时客户端回退 dramaCover。 */
private String dramaCoverLandscape;
/** 当前续看集号。 */
private Integer episodeNumber;
/** 短剧总集数;短剧不存在时为空。 */
+128
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@@ -0,0 +1,128 @@
# Author: fruit.com.cn
# Grafana 告警规则:服务下线 / 响应慢 / 磁盘满 自动通知。
# 需要在 Grafana UI 里配一个 Contact Point(飞书 webhook)并绑定到这些规则。
apiVersion: 1
groups:
- orgId: 1
name: fruitshorts-health
folder: FruitShorts
interval: 30s
rules:
# ── 服务下线 ──
- uid: fruitshorts-app-down
title: "app-api 下线"
condition: C
data:
- refId: A
relativeTimeRange: { from: 120, to: 0 }
datasourceUid: prometheus
model:
expr: 'probe_success{instance=~"http://app-api:8081/.*"} == 0'
refId: A
- refId: C
relativeTimeRange: { from: 0, to: 0 }
datasourceUid: __expr__
model:
conditions:
- evaluator: { params: [0.5], type: gt }
operator: { type: and }
query: { params: [A] }
reducer: { type: last }
type: query
refId: C
noDataState: Alerting
for: 2m
annotations:
summary: "app-api (8081) 已下线超过 2 分钟"
labels:
severity: critical
team: backend
- uid: fruitshorts-admin-down
title: "admin-api 下线"
condition: C
data:
- refId: A
relativeTimeRange: { from: 120, to: 0 }
datasourceUid: prometheus
model:
expr: 'probe_success{instance=~"http://admin-api:8080/.*"} == 0'
refId: A
- refId: C
relativeTimeRange: { from: 0, to: 0 }
datasourceUid: __expr__
model:
conditions:
- evaluator: { params: [0.5], type: gt }
operator: { type: and }
query: { params: [A] }
reducer: { type: last }
type: query
refId: C
noDataState: Alerting
for: 2m
annotations:
summary: "admin-api (8080) 已下线超过 2 分钟"
labels:
severity: critical
team: backend
# ── 响应慢 ──
- uid: fruitshorts-slow-response
title: "接口响应过慢"
condition: C
data:
- refId: A
relativeTimeRange: { from: 300, to: 0 }
datasourceUid: prometheus
model:
expr: 'histogram_quantile(0.95, rate(probe_duration_seconds_bucket[5m])) > 2'
refId: A
- refId: C
relativeTimeRange: { from: 0, to: 0 }
datasourceUid: __expr__
model:
conditions:
- evaluator: { params: [0.5], type: gt }
operator: { type: and }
query: { params: [A] }
reducer: { type: last }
type: query
refId: C
for: 5m
annotations:
summary: "接口 P95 响应时间超过 2 秒"
labels:
severity: warning
team: backend
# ── 容器重启频繁 ──
- uid: fruitshorts-container-restart
title: "容器频繁重启"
condition: C
data:
- refId: A
relativeTimeRange: { from: 600, to: 0 }
datasourceUid: prometheus
model:
expr: 'increase(container_start_time_seconds[10m]) > 3'
refId: A
- refId: C
relativeTimeRange: { from: 0, to: 0 }
datasourceUid: __expr__
model:
conditions:
- evaluator: { params: [0.5], type: gt }
operator: { type: and }
query: { params: [A] }
reducer: { type: last }
type: query
refId: C
for: 1m
annotations:
summary: "有容器在 10 分钟内重启超过 3 次"
labels:
severity: warning
team: infra
+14
View File
@@ -0,0 +1,14 @@
# Author: fruit.com.cn
# Grafana 数据源:Loki 日志
apiVersion: 1
datasources:
- name: Loki
uid: loki
type: loki
access: proxy
url: http://loki:3100
isDefault: false
editable: false
jsonData:
maxLines: 1000
+55
View File
@@ -0,0 +1,55 @@
# Author: fruit.com.cn
# Loki 单机配置:文件系统存储,7 天保留,供 Grafana 查询容器日志。
auth_enabled: false
server:
http_listen_port: 3100
grpc_listen_port: 9096
common:
instance_addr: 127.0.0.1
path_prefix: /loki
storage:
filesystem:
chunks_directory: /loki/chunks
rules_directory: /loki/rules
replication_factor: 1
ring:
kvstore:
store: inmemory
query_range:
results_cache:
cache:
embedded_cache:
enabled: true
max_size_mb: 100
schema_config:
configs:
- from: 2024-01-01
store: tsdb
object_store: filesystem
schema: v13
index:
prefix: index_
period: 24h
# 7 天保留,避免磁盘无限增长
limits_config:
retention_period: 168h
max_query_series: 1000
# 允许采集历史日志(容器启动时的旧日志也能入库),靠 retention_period 控制总量
reject_old_samples: false
ingestion_rate_mb: 20
ingestion_burst_size_mb: 40
per_stream_rate_limit: 10MB
per_stream_rate_limit_burst: 40MB
compactor:
working_directory: /loki/compactor
compaction_interval: 10m
retention_enabled: true
retention_delete_delay: 2h
retention_delete_worker_count: 150
delete_request_store: filesystem
+34
View File
@@ -0,0 +1,34 @@
# Author: fruit.com.cn
# Promtail:通过 Docker 服务发现自动采集所有容器的 stdout/stderr 日志,推送到 Loki。
server:
http_listen_port: 9080
grpc_listen_port: 0
positions:
filename: /tmp/positions.yaml
clients:
- url: http://loki:3100/loki/api/v1/push
batchwait: 1s
batchsize: 1048576
scrape_configs:
- job_name: docker-containers
docker_sd_configs:
- host: unix:///var/run/docker.sock
refresh_interval: 5s
relabel_configs:
# 容器名(去掉开头的 /)
- source_labels: ['__meta_docker_container_name']
regex: '/(.*)'
target_label: container
# 日志流:stdout / stderr
- source_labels: ['__meta_docker_container_log_stream']
target_label: stream
# 容器 ID 前 12 位
- source_labels: ['__meta_docker_container_id']
target_label: container_id
regex: '(.{12}).*'
# 镜像名
- source_labels: ['__meta_docker_container_image']
target_label: image
+113
View File
@@ -0,0 +1,113 @@
-- Author: fruit.com.cn
-- FruitShorts 短剧服务 · 印尼语(id-ID)敏感词库增量补全(PostgreSQL 18)
--
-- 续接基线:sensitive_word 已有 id 9000001~9000053(zh-CN/en-US/id-ID 三语初版)。
-- 本文件只补 id-ID 缺失/不足的分类,id 从 9000054 续接,避免与现有雪花 ID 冲突。
--
-- 分类(category):POLITICS 政治 / PORN 色情 / ABUSE 辱骂 / AD 广告导流 / RELIGION 宗教
-- 级别(level):
-- BLOCK 直接拒绝发布
-- REVIEW 命中转人工审核(歧义词、可能误伤的业务词放这里)
-- REPLACE 替换后放行(轻度脏话,用 replace_text 打码)
--
-- 幂等:唯一索引 uk_sensitive_word(language, word),重复执行靠 ON CONFLICT DO NOTHING 跳过。
-- 说明:词库内容需印尼运营/合规方复核后启用,本文件仅提供开发联调可用的初始基线。
-- ============ 辱骂 / 脏话(ABUSE)· 补全 ============
INSERT INTO sensitive_word (id, word, category, level, replace_text, language, status) VALUES
(9000054, 'babi', 'ABUSE', 'BLOCK', '*', 'id-ID', 1),
(9000055, 'brengsek', 'ABUSE', 'BLOCK', '*', 'id-ID', 1),
(9000056, 'kampret', 'ABUSE', 'BLOCK', '*', 'id-ID', 1),
(9000057, 'keparat', 'ABUSE', 'BLOCK', '*', 'id-ID', 1),
(9000058, 'sundal', 'ABUSE', 'BLOCK', '*', 'id-ID', 1),
(9000059, 'lonte', 'ABUSE', 'BLOCK', '*', 'id-ID', 1),
(9000060, 'pelacur', 'ABUSE', 'BLOCK', '*', 'id-ID', 1),
(9000061, 'jancok', 'ABUSE', 'BLOCK', '*', 'id-ID', 1),
(9000062, 'asu', 'ABUSE', 'BLOCK', '*', 'id-ID', 1),
(9000063, 'sialan', 'ABUSE', 'REPLACE', '***', 'id-ID', 1),
(9000064, 'tolol', 'ABUSE', 'REPLACE', '***', 'id-ID', 1),
(9000065, 'goblok', 'ABUSE', 'REPLACE', '***', 'id-ID', 1),
(9000066, 'bodoh', 'ABUSE', 'REPLACE', '***', 'id-ID', 1),
(9000067, 'bego', 'ABUSE', 'REPLACE', '***', 'id-ID', 1),
(9000068, 'kirik', 'ABUSE', 'REPLACE', '***', 'id-ID', 1),
(9000069, 'tai', 'ABUSE', 'REPLACE', '***', 'id-ID', 1),
(9000070, 'bejat', 'ABUSE', 'REPLACE', '***', 'id-ID', 1)
ON CONFLICT (language, word) DO NOTHING;
-- ============ 色情(PORN)· 少量补全 ============
INSERT INTO sensitive_word (id, word, category, level, replace_text, language, status) VALUES
(9000071, 'ngewe', 'PORN', 'BLOCK', '*', 'id-ID', 1),
(9000072, 'toket', 'PORN', 'BLOCK', '*', 'id-ID', 1),
(9000073, 'onani', 'PORN', 'BLOCK', '*', 'id-ID', 1),
(9000074, 'perkosa', 'PORN', 'BLOCK', '*', 'id-ID', 1),
(9000075, 'pemerkosaan', 'PORN', 'BLOCK', '*', 'id-ID', 1),
(9000076, 'jembut', 'PORN', 'BLOCK', '*', 'id-ID', 1),
(9000077, 'pepek', 'PORN', 'BLOCK', '*', 'id-ID', 1),
(9000078, 'selingkuh', 'PORN', 'REVIEW', '*', 'id-ID', 1),
(9000079, 'gairah', 'PORN', 'REVIEW', '*', 'id-ID', 1)
ON CONFLICT (language, word) DO NOTHING;
-- ============ 政治(POLITICS)· 新增(基线缺失) ============
INSERT INTO sensitive_word (id, word, category, level, replace_text, language, status) VALUES
(9000080, 'PKI', 'POLITICS', 'BLOCK', '*', 'id-ID', 1),
(9000081, 'komunis', 'POLITICS', 'BLOCK', '*', 'id-ID', 1),
(9000082, 'Papua Merdeka', 'POLITICS', 'BLOCK', '*', 'id-ID', 1),
(9000083, 'OPM', 'POLITICS', 'BLOCK', '*', 'id-ID', 1),
(9000084, 'GAM', 'POLITICS', 'BLOCK', '*', 'id-ID', 1),
(9000085, 'separatis', 'POLITICS', 'BLOCK', '*', 'id-ID', 1),
(9000086, 'separatisme', 'POLITICS', 'BLOCK', '*', 'id-ID', 1),
(9000087, 'teroris', 'POLITICS', 'BLOCK', '*', 'id-ID', 1),
(9000088, 'terorisme', 'POLITICS', 'BLOCK', '*', 'id-ID', 1),
(9000089, 'ISIS', 'POLITICS', 'BLOCK', '*', 'id-ID', 1),
(9000090, 'jihadis', 'POLITICS', 'BLOCK', '*', 'id-ID', 1),
(9000091, 'radikalisme', 'POLITICS', 'BLOCK', '*', 'id-ID', 1),
(9000092, 'kudeta', 'POLITICS', 'BLOCK', '*', 'id-ID', 1),
(9000093, 'makar', 'POLITICS', 'BLOCK', '*', 'id-ID', 1),
(9000094, 'pemberontak', 'POLITICS', 'BLOCK', '*', 'id-ID', 1),
(9000095, 'pemberontakan', 'POLITICS', 'BLOCK', '*', 'id-ID', 1),
(9000096, 'kerusuhan', 'POLITICS', 'BLOCK', '*', 'id-ID', 1),
(9000097, 'penjarahan', 'POLITICS', 'BLOCK', '*', 'id-ID', 1),
(9000098, 'radikal', 'POLITICS', 'REVIEW', '*', 'id-ID', 1),
(9000099, 'jihad', 'POLITICS', 'REVIEW', '*', 'id-ID', 1),
(9000100, 'anti-pemerintah', 'POLITICS', 'REVIEW', '*', 'id-ID', 1),
(9000101, 'bubarkan', 'POLITICS', 'REVIEW', '*', 'id-ID', 1)
ON CONFLICT (language, word) DO NOTHING;
-- ============ 宗教(RELIGION)· 补全 ============
INSERT INTO sensitive_word (id, word, category, level, replace_text, language, status) VALUES
(9000102, 'penistaan agama', 'RELIGION', 'BLOCK', '*', 'id-ID', 1),
(9000103, 'menghina agama', 'RELIGION', 'BLOCK', '*', 'id-ID', 1),
(9000104, 'menghina Nabi', 'RELIGION', 'BLOCK', '*', 'id-ID', 1),
(9000105, 'menghina Allah', 'RELIGION', 'BLOCK', '*', 'id-ID', 1),
(9000106, 'menghina Kristen','RELIGION', 'BLOCK', '*', 'id-ID', 1),
(9000107, 'menghina Katolik','RELIGION', 'BLOCK', '*', 'id-ID', 1),
(9000108, 'menghina Hindu', 'RELIGION', 'BLOCK', '*', 'id-ID', 1),
(9000109, 'menghina Buddha', 'RELIGION', 'BLOCK', '*', 'id-ID', 1),
(9000110, 'kafir', 'RELIGION', 'BLOCK', '*', 'id-ID', 1),
(9000111, 'murtad', 'RELIGION', 'BLOCK', '*', 'id-ID', 1),
(9000112, 'sara', 'RELIGION', 'BLOCK', '*', 'id-ID', 1),
(9000113, 'provokasi agama', 'RELIGION', 'BLOCK', '*', 'id-ID', 1),
(9000114, 'konflik agama', 'RELIGION', 'REVIEW', '*', 'id-ID', 1)
ON CONFLICT (language, word) DO NOTHING;
-- ============ 广告导流 / 非法(AD)· 补全 ============
INSERT INTO sensitive_word (id, word, category, level, replace_text, language, status) VALUES
(9000115, 'judi online', 'AD', 'BLOCK', '*', 'id-ID', 1),
(9000116, 'slot online', 'AD', 'BLOCK', '*', 'id-ID', 1),
(9000117, 'casino', 'AD', 'BLOCK', '*', 'id-ID', 1),
(9000118, 'poker online', 'AD', 'BLOCK', '*', 'id-ID', 1),
(9000119, 'situs judi', 'AD', 'BLOCK', '*', 'id-ID', 1),
(9000120, 'deposit slot', 'AD', 'BLOCK', '*', 'id-ID', 1),
(9000121, 'link alternatif', 'AD', 'BLOCK', '*', 'id-ID', 1),
(9000122, 'pinjol', 'AD', 'BLOCK', '*', 'id-ID', 1),
(9000123, 'rentenir', 'AD', 'BLOCK', '*', 'id-ID', 1),
(9000124, 'scam', 'AD', 'BLOCK', '*', 'id-ID', 1),
(9000125, 'penipuan', 'AD', 'BLOCK', '*', 'id-ID', 1),
(9000126, 'investasi bodong', 'AD', 'BLOCK', '*', 'id-ID', 1),
(9000127, 'arisan berantai', 'AD', 'BLOCK', '*', 'id-ID', 1),
(9000128, 'money game', 'AD', 'BLOCK', '*', 'id-ID', 1),
(9000129, 'pinjaman online', 'AD', 'REVIEW', '*', 'id-ID', 1),
(9000130, 'hack', 'AD', 'REVIEW', '*', 'id-ID', 1),
(9000131, 'jual akun', 'AD', 'REVIEW', '*', 'id-ID', 1)
ON CONFLICT (language, word) DO NOTHING;
@@ -0,0 +1,7 @@
-- 缩略图时间轴唯一约束改为部分索引:
-- media_thumbnail.deleted 为 @TableLogic 逻辑删除,软删行仍占用 episode_id 会导致
-- ThumbnailRecordService.upsert 的 delete+insert 触发 uk_media_thumbnail_episode 冲突。
-- 唯一性只约束未删除行(deleted = 0)。
DROP INDEX IF EXISTS uk_media_thumbnail_episode;
CREATE UNIQUE INDEX IF NOT EXISTS uk_media_thumbnail_episode
ON media_thumbnail (episode_id) WHERE deleted = 0;
+21
View File
@@ -0,0 +1,21 @@
-- Author: fruit.com.cn
-- 标签语义码:客户端按稳定码判断板块归属(如「上新」横滑),文案可随意改。
ALTER TABLE content_tag ADD COLUMN IF NOT EXISTS code VARCHAR(32) NOT NULL DEFAULT '';
-- 同一个语义码只能给一个标签,空码不参与唯一性约束。
CREATE UNIQUE INDEX IF NOT EXISTS uk_content_tag_code
ON content_tag (code) WHERE code <> '';
-- 已有标签回填语义码(幂等:只补空的)。
UPDATE content_tag SET code = 'NEW_ARRIVAL'
WHERE code = '' AND (name = '上新' OR name_en = 'New Arrival');
UPDATE content_tag SET code = 'HOT'
WHERE code = '' AND (name = '热剧' OR name_en = 'Hot');
UPDATE content_tag SET code = 'NEW_RELEASE'
WHERE code = '' AND (name = '新剧' OR name_en = 'New Movie');
UPDATE content_tag SET code = 'TRENDING'
WHERE code = '' AND (name = '热播' OR name_en = 'Rebo');
@@ -0,0 +1,50 @@
-- Author: fruit.com.cn
-- 推荐榜:运营分类增加稳定语义、展示类型和版本,关联关系增加明确位置
ALTER TABLE drama_classification
ADD COLUMN IF NOT EXISTS code VARCHAR(64),
ADD COLUMN IF NOT EXISTS layout_type VARCHAR(16) NOT NULL DEFAULT 'GRID',
ADD COLUMN IF NOT EXISTS revision BIGINT NOT NULL DEFAULT 1;
UPDATE drama_classification
SET code = 'CLASSIFICATION_' || id
WHERE code IS NULL OR BTRIM(code) = '';
UPDATE drama_classification
SET code = 'RECOMMEND_RANKING',
layout_type = 'RANKING'
WHERE id = (
SELECT id
FROM drama_classification
WHERE name IN ('推荐榜', '榜单')
ORDER BY sort ASC, id ASC
LIMIT 1
);
CREATE UNIQUE INDEX IF NOT EXISTS uk_drama_classification_code
ON drama_classification (code);
ALTER TABLE drama_classification_drama
ADD COLUMN IF NOT EXISTS position INTEGER NOT NULL DEFAULT 0;
WITH ranked AS (
SELECT id,
ROW_NUMBER() OVER (
PARTITION BY classification_id
ORDER BY created_at DESC, id DESC
) AS next_position
FROM drama_classification_drama
)
UPDATE drama_classification_drama relation
SET position = ranked.next_position
FROM ranked
WHERE relation.id = ranked.id
AND relation.position = 0;
CREATE INDEX IF NOT EXISTS idx_classification_drama_position
ON drama_classification_drama (classification_id, position, id);
COMMENT ON COLUMN drama_classification.code IS '稳定语义码,不随多语言名称变化';
COMMENT ON COLUMN drama_classification.layout_type IS '客户端布局:GRID/RANKING';
COMMENT ON COLUMN drama_classification.revision IS '内容或顺序版本,变更后递增';
COMMENT ON COLUMN drama_classification_drama.position IS '分类内展示位置,从 1 开始';
+14 -7
View File
@@ -806,7 +806,7 @@ CREATE TABLE IF NOT EXISTS media_thumbnail (
deleted SMALLINT NOT NULL DEFAULT 0
);
CREATE UNIQUE INDEX IF NOT EXISTS uk_media_thumbnail_episode
ON media_thumbnail (episode_id);
ON media_thumbnail (episode_id) WHERE deleted = 0;
CREATE INDEX IF NOT EXISTS idx_media_thumbnail_drama
ON media_thumbnail (drama_id);
COMMENT ON TABLE media_thumbnail IS '单集缩略图雪碧图与 VTT 时间轴';
@@ -873,26 +873,33 @@ COMMENT ON TABLE audit_log IS '业务对象变更审计(支付、权益、定
-- ============================================================
CREATE TABLE IF NOT EXISTS drama_classification (
id BIGINT PRIMARY KEY,
name VARCHAR(64) NOT NULL,
sort INTEGER NOT NULL DEFAULT 0,
status SMALLINT NOT NULL DEFAULT 1,
created_at TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP
id BIGINT PRIMARY KEY,
name VARCHAR(64) NOT NULL,
code VARCHAR(64),
layout_type VARCHAR(16) NOT NULL DEFAULT 'GRID',
revision BIGINT NOT NULL DEFAULT 1,
sort INTEGER NOT NULL DEFAULT 0,
status SMALLINT NOT NULL DEFAULT 1,
created_at TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP
);
CREATE UNIQUE INDEX IF NOT EXISTS uk_drama_classification_name ON drama_classification (name);
CREATE UNIQUE INDEX IF NOT EXISTS uk_drama_classification_code ON drama_classification (code);
COMMENT ON TABLE drama_classification IS '运营分类;与短剧类型(drama_category)相互独立';
CREATE TABLE IF NOT EXISTS drama_classification_drama (
id BIGINT PRIMARY KEY,
classification_id BIGINT NOT NULL,
drama_id BIGINT NOT NULL,
position INTEGER NOT NULL DEFAULT 0,
created_at TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP
);
CREATE UNIQUE INDEX IF NOT EXISTS uk_classification_drama
ON drama_classification_drama (classification_id, drama_id);
CREATE INDEX IF NOT EXISTS idx_classification_drama_drama
ON drama_classification_drama (drama_id);
CREATE INDEX IF NOT EXISTS idx_classification_drama_position
ON drama_classification_drama (classification_id, position, id);
COMMENT ON TABLE drama_classification_drama IS '分类与短剧的关联关系';
-- ============================================================