5 Commits
Author SHA1 Message Date
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
6 changed files with 180 additions and 28 deletions

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+3
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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
+48 -20
View File
@@ -14,6 +14,9 @@ param(
$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') $msg"
@@ -33,6 +36,29 @@ function Send-Alert($title, $msg) {
}
}
# 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 ($LASTEXITCODE -eq 0)
@@ -60,6 +86,20 @@ function Invoke-Compose([string[]]$composeArgs) {
# 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。
if (-not (Test-Docker)) {
Write-Log "Docker 未就绪,尝试启动 Docker Desktop"
@@ -91,18 +131,8 @@ $checks = @(
@{ 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。脚本由计划任务每 2 分钟拉起一次,
# 进程内变量会跨轮丢失,因此计数持久化到状态文件,否则「连续 3 次告警」永远不触发。
$StateFile = Join-Path $LogDir "watchdog-state.json"
$failCounts = @{}
if (Test-Path $StateFile) {
try {
(Get-Content $StateFile -Raw | ConvertFrom-Json).PSObject.Properties |
ForEach-Object { $failCounts[$_.Name] = [int]$_.Value }
} catch {
Write-Log "状态文件损坏,重置连续失败计数"
}
}
# 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 = $check.Name
@@ -159,8 +189,10 @@ foreach ($check in $checks) {
}
}
# 连续失败达到上限 → 告警
if (-not $healthy -and $count -ge $MaxRestarts) {
# 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) {
@@ -179,9 +211,5 @@ if ($drive) {
}
}
# 落盘本轮结束时的连续失败计数,供下一轮接着累计
try {
$failCounts | ConvertTo-Json | Set-Content -Path $StateFile -Encoding UTF8
} catch {
Write-Log "状态文件写入失败: $_"
}
# 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
@@ -20,6 +20,13 @@ spring:
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}
@@ -32,9 +32,11 @@ 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.mock;
import static org.mockito.Mockito.never;
@@ -330,6 +332,72 @@ 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());
}
private WatchProgressService serviceWithBuffer(WatchProgressBuffer buffer) {
@SuppressWarnings("unchecked")
ObjectProvider<WatchProgressBuffer> provider = mock(ObjectProvider.class);
given(provider.getIfAvailable()).willReturn(buffer);
return new WatchProgressService(
progressMapper,
historyMapper,
dramaService,
episodeService,
provider,
mock(SqlSessionFactory.class),
new TransactionTemplate(mock(PlatformTransactionManager.class)));
}
private Drama drama(Long id, String title, int totalEpisodes) {
Drama drama = new Drama();
drama.setId(id);
@@ -93,6 +93,34 @@ public class WatchProgressBuffer {
}
}
/**
* 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);
@@ -279,14 +279,18 @@ public class WatchProgressService {
List<Long> extraDramaIds = extra.stream()
.map(WatchProgressBuffer.BufferedProgress::dramaId)
.toList();
Set<Long> withRow = progressMapper.selectAnyForIdentityIn(
Map<Long, WatchProgress> rowByDrama = progressMapper.selectAnyForIdentityIn(
identity.userId(), identity.deviceId(), extraDramaIds)
.stream()
.map(WatchProgress::getDramaId)
.collect(Collectors.toSet());
.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 (!withRow.contains(buffered.dramaId())) {
if (existing == null) {
total++;
}
}
@@ -306,6 +310,12 @@ 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));
}
@@ -317,6 +327,10 @@ 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));
}
@@ -338,8 +352,7 @@ public class WatchProgressService {
return 0;
}
try {
flushRefs(buffer, refs);
return refs.size();
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);
@@ -347,7 +360,7 @@ public class WatchProgressService {
}
}
private void flushRefs(WatchProgressBuffer buffer, List<WatchProgressBuffer.IdentityRef> refs) {
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)
@@ -372,7 +385,11 @@ public class WatchProgressService {
ref.userId(), ref.deviceId(), ref.dramaId()));
}
if (pendingRefs.isEmpty()) {
throw new IllegalStateException("缓冲状态读取为空,ref=" + refs.size());
// 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)
@@ -415,6 +432,7 @@ public class WatchProgressService {
}
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。 */