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junhong_cmp_fiber/internal/task/polling_base.go
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feat: 轮询观测入库异步化,调网关与入库分离,采集记录经消息攒批写入
- 轮询步骤异步模式下只调网关并发布 card.ingest 入库消息,入库消费者固定并发 30、按采集 ID 去重、可重试错误不限次数退避重投
- 采集记录经 card.collection 攒批写入,失败整批重投,新增 (observation_id, observed_at) 唯一索引
- 网络、实名观测增加乱序保护;轮询读查询走缓存,套餐状态查询各自计时且失败不缓存
- 入库积压告警与反压;系统配置 polling.ingest.mode 默认 sync 可回退;测试环境 nsqd 消息全部落盘

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-11-06 16:33:29 +09:00

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package task
import (
"context"
"time"
"github.com/redis/go-redis/v9"
"go.uber.org/zap"
"gorm.io/gorm"
"github.com/break/junhong_cmp_fiber/internal/infrastructure/audit"
"github.com/break/junhong_cmp_fiber/internal/infrastructure/cardtrafficlock"
"github.com/break/junhong_cmp_fiber/internal/polling"
"github.com/break/junhong_cmp_fiber/internal/store/postgres"
"github.com/break/junhong_cmp_fiber/pkg/constants"
)
// acquireConcurrencyScript 原子获取并发信号量的 Lua 脚本
// INCR + EXPIRE 合并为单个服务端操作,消除二者之间的崩溃窗口:
// 若 Worker 在 INCR 后、EXPIRE 前崩溃,key 将永久留在 Redis 导致计数器卡死。
// KEYS[1]: 全部轮询计数;KEYS[2]: 分类轮询计数
// ARGV[1]: 总量上限;ARGV[2]: 分类上限;ARGV[3]: key TTL(秒)
// 返回 -1 表示任一上限超额,>0 表示成功获取后的总计数值
var acquireConcurrencyScript = redis.NewScript(`
local total = redis.call('INCR', KEYS[1])
local kind = redis.call('INCR', KEYS[2])
if tonumber(total) > tonumber(ARGV[1]) or tonumber(kind) > tonumber(ARGV[2]) then
redis.call('DECR', KEYS[1])
redis.call('DECR', KEYS[2])
return -1
end
redis.call('EXPIRE', KEYS[1], tonumber(ARGV[3]))
redis.call('EXPIRE', KEYS[2], tonumber(ARGV[3]))
return total
`)
var releaseConcurrencyScript = redis.NewScript(`
for _, key in ipairs(KEYS) do
local current = tonumber(redis.call('GET', key) or '0') or 0
if current <= 0 then
if redis.call('EXISTS', key) == 1 then redis.call('SET', key, 0, 'KEEPTTL') end
else
redis.call('DECR', key)
end
end
return 0
`)
const pollingFallbackOperationTimeout = 5 * time.Second
// pollingFallbackContext 创建轮询兜底操作使用的独立短超时上下文。
// Asynq 任务 ctx 超时后,释放并发计数、释放锁、重入队仍必须尽量完成,
// 否则会造成并发计数短期卡住,甚至卡已出队但未重新入队。
func pollingFallbackContext() (context.Context, context.CancelFunc) {
return context.WithTimeout(context.Background(), pollingFallbackOperationTimeout)
}
// PollingBase 轮询共享基类
// 封装并发控制、卡缓存、重入队、配置间隔查询与优先轮询项认领等公共方法,所有 Handler 共享
type PollingBase struct {
redis *redis.Client
queueMgr *polling.PollingQueueManager
configMgr *polling.PollingConfigManager
iotCardStore *postgres.IotCardStore
logger *zap.Logger
verboseLog bool
totalMaxConcurrency int
trafficLock *cardtrafficlock.Lock
db *gorm.DB
priorityStore *postgres.PollingPriorityItemStore
priorityAudit *audit.Writer
scopeChecker *polling.PollingLifecycleService
rateLimitedDelay func() time.Duration // 卡网关调用被运营商账户限流后的固定重入队延迟
errorClassifier ErrorClassifier // 上游错误分类(按运营商账户调度的失败退避与告警使用)
schedulerMode SchedulerModeReader // 当前调度模式;carrier 时旧 Asynq 轮询任务直接结束
ingest *IngestPublisher // 入库消息发布器;为 nil 时轮询步骤同步入库
ingestAsync func(ctx context.Context) bool
scopeCache scopeCache
resetDays resetDayCache
}
// SetRateLimitedDelay 设置被运营商账户限流后的重入队延迟来源(受控系统配置,即时生效)。
func (b *PollingBase) SetRateLimitedDelay(delay func() time.Duration) {
b.rateLimitedDelay = delay
}
// requeueRateLimited 卡网关调用被运营商账户限流拒绝时请求并未发出:不计失败、不写失败统计与失败审计,
// 按固定短延迟重入队,不在任务内等待名额(避免占满与其他业务共用的 Asynq 协程)。
func (b *PollingBase) requeueRateLimited(cardID uint, taskType string) error {
delay := 5 * time.Second
if b.rateLimitedDelay != nil {
if configured := b.rateLimitedDelay(); configured > 0 {
delay = configured
}
}
ctx, cancel := pollingFallbackContext()
card, err := b.getCardWithCache(ctx, cardID)
cancel()
if err == nil && !card.EnablePolling {
return nil
}
return b.requeueCardAt(cardID, taskType, time.Now().Add(delay))
}
// NewPollingBase 创建轮询共享基类
func NewPollingBase(
redisClient *redis.Client,
queueMgr *polling.PollingQueueManager,
configMgr *polling.PollingConfigManager,
iotCardStore *postgres.IotCardStore,
scopeChecker *polling.PollingLifecycleService,
priorityStore *postgres.PollingPriorityItemStore,
priorityAudit *audit.Writer,
db *gorm.DB,
logger *zap.Logger,
verboseLog bool,
totalMaxConcurrency int,
) *PollingBase {
return &PollingBase{
redis: redisClient,
queueMgr: queueMgr,
configMgr: configMgr,
iotCardStore: iotCardStore,
logger: logger,
verboseLog: verboseLog,
totalMaxConcurrency: totalMaxConcurrency,
trafficLock: cardtrafficlock.New(redisClient),
db: db,
priorityStore: priorityStore,
priorityAudit: priorityAudit,
scopeChecker: scopeChecker,
}
}
// acquireConcurrency 原子获取并发信号量
// 使用 Lua 脚本将 INCR 与 EXPIRE 合并为单个服务端操作,消除非原子窗口:
// 旧实现中若 Worker 在 INCR 后、EXPIRE 前崩溃,key 永久留在 Redis,计数器卡死。
func (b *PollingBase) acquireConcurrency(ctx context.Context, taskType string) bool {
shortType := shortTaskType(taskType)
configKey := constants.RedisPollingConcurrencyConfigKey(shortType)
currentKey := constants.RedisPollingConcurrencyCurrentKey(taskType)
totalKey := constants.RedisPollingConcurrencyTotalCurrentKey()
maxConcurrency, err := b.redis.Get(ctx, configKey).Int()
if err != nil || maxConcurrency < 1 || maxConcurrency > constants.PollingMaxConcurrencyLimit {
maxConcurrency = constants.PollingDefaultMaxConcurrency
}
totalMax := b.totalMaxConcurrency
if totalMax < 1 || totalMax > constants.PollingMaxConcurrencyLimit {
totalMax = constants.PollingDefaultTotalMaxConcurrency
}
result, err := acquireConcurrencyScript.Run(
ctx, b.redis, []string{totalKey, currentKey},
totalMax, maxConcurrency, constants.PollingConcurrencyKeyTTL,
).Int64()
if err != nil {
b.logger.Warn("获取并发计数失败,放行任务", zap.Error(err))
return true
}
if result == -1 {
b.logger.Info("轮询因并发令牌不足延后", zap.String("task_type", taskType),
zap.Int("max_concurrency", maxConcurrency), zap.Int("total_max_concurrency", totalMax),
zap.String("metric", "polling.deferred.concurrency_limit"))
return false
}
return true
}
// releaseConcurrency 释放并发信号量
func (b *PollingBase) releaseConcurrency(_ context.Context, taskType string) {
ctx, cancel := pollingFallbackContext()
defer cancel()
currentKey := constants.RedisPollingConcurrencyCurrentKey(taskType)
if err := releaseConcurrencyScript.Run(ctx, b.redis, []string{constants.RedisPollingConcurrencyTotalCurrentKey(), currentKey}).Err(); err != nil {
b.logger.Warn("释放并发计数失败", zap.String("task_type", taskType), zap.Error(err))
}
}
// acquireCardTrafficSyncLock 获取卡流量同步锁,避免轮询与手动刷新重复统计同一上游读数。
func (b *PollingBase) acquireCardTrafficSyncLock(ctx context.Context, cardID uint) (string, bool, error) {
return b.trafficLock.Acquire(ctx, cardID)
}
// releaseCardTrafficSyncLock 释放卡流量同步锁。
func (b *PollingBase) releaseCardTrafficSyncLock(_ context.Context, cardID uint, token string) {
ctx, cancel := pollingFallbackContext()
defer cancel()
if err := b.trafficLock.Release(ctx, cardID, token); err != nil {
b.logger.Warn("释放卡流量同步锁失败", zap.Uint("card_id", cardID), zap.Error(err))
}
}
// ensureMissingTask 根据数据库最新卡状态,仅在对应分片队列缺失时补入任务。
func (b *PollingBase) ensureMissingTask(ctx context.Context, cardID uint, taskType string) error {
card, err := b.iotCardStore.GetByID(ctx, cardID)
if err != nil {
return err
}
if !card.EnablePolling {
// 已关闭轮询的卡不补齐任务,否则卡状态与套餐任务会互相补回队列,关闭轮询无法生效。
return nil
}
info, ok := b.configMgr.MergedTaskIntervals(card)[taskType]
if !ok || info.Interval <= 0 {
return nil
}
added, err := b.queueMgr.EnsureQueued(ctx, cardID, taskType, time.Now())
if err != nil {
return err
}
if added {
b.logger.Info("卡状态轮询补齐缺失套餐任务",
zap.Uint("card_id", cardID), zap.String("task_type", taskType))
}
return nil
}
// requeueCardAt 使用独立短超时上下文执行真正的 ZADD 重入队。
func (b *PollingBase) requeueCardAt(cardID uint, taskType string, nextCheckAt time.Time) error {
ctx, cancel := pollingFallbackContext()
defer cancel()
if err := b.queueMgr.Requeue(ctx, cardID, taskType, nextCheckAt); err != nil {
b.logger.Error("重入队失败,卡可能暂停轮询",
zap.Uint("card_id", cardID), zap.String("task_type", taskType), zap.Error(err))
return err
}
return nil
}
// pollingRequeueFallbackInterval 是无法解析轮询间隔时的兜底重入队间隔。
// 防止卡或优先项因配置缺失而永久停在待执行状态。
const pollingRequeueFallbackInterval = 30 * time.Second
// pollingNextCheckAt 计算该卡该任务类型的下一次检查时间,与 requeueCard 共用同一间隔解析与兜底口径。
// 返回 ok=false 表示该任务类型没有可用轮询间隔(配置为 NULL),调用方不得入队。
func (b *PollingBase) pollingNextCheckAt(ctx context.Context, cardID uint, taskType string) (time.Time, bool) {
card, err := b.getCardWithCache(ctx, cardID)
if err != nil {
b.logger.Warn("重入队:获取卡信息失败,使用30秒兜底间隔",
zap.Uint("card_id", cardID), zap.String("task_type", taskType), zap.Error(err))
return time.Now().Add(pollingRequeueFallbackInterval), true
}
if !card.EnablePolling {
// 执行中途被关闭轮询的卡不再重入队(关闭时已移出队列并清除缓存,此处读到的是库中最新值)。
b.logger.Info("卡已关闭轮询,不再重入队", zap.Uint("card_id", cardID), zap.String("task_type", taskType))
return time.Time{}, false
}
intervals := b.configMgr.MergedTaskIntervals(card)
if len(intervals) == 0 {
// 兜底:配置未加载时延迟 30 秒重入队,防止卡从轮询永久消失
b.logger.Warn("无匹配轮询配置,30秒后重入队(配置可能未加载)",
zap.Uint("card_id", cardID), zap.String("task_type", taskType))
return time.Now().Add(pollingRequeueFallbackInterval), true
}
info, ok := intervals[taskType]
if !ok || info.Interval <= 0 {
b.logger.Debug("轮询间隔为 NULL,不入队", zap.Uint("card_id", cardID), zap.String("task_type", taskType))
return time.Time{}, false
}
return b.configMgr.NextCheckAt(ctx, card, taskType, info, time.Now()), true
}
// requeueCard 将卡按匹配配置间隔重新入队分片 Sorted Set
// ⚠️ 关键:Lua 脚本原子出队后卡已从队列移除,若并发满时直接 return 会导致卡永久丢失
// 调用方必须在 acquireConcurrency 返回 false 时调用此方法入队后再返回
func (b *PollingBase) requeueCard(_ context.Context, cardID uint, taskType string) error {
ctx, cancel := pollingFallbackContext()
nextCheckAt, ok := b.pollingNextCheckAt(ctx, cardID, taskType)
cancel()
if !ok {
return nil
}
return b.requeueCardAt(cardID, taskType, nextCheckAt)
}