ae7834adaa
将 ExpBase::mon_proc() 中的 exp_type_ 分支逻辑提取为 4 个子类，通过 doMonProc() 虚函数实现多态分发： - LogicAlg (exp_type 1)：实时逻辑判断 - BoundAlg (exp_type 2)：监控变量上下限检测 - BoundHoldAlg (exp_type 5)：持续超限检测（继承 BoundAlg） - FeedbackAlg (exp_type 3/4)：动作反馈处理 ExpBase 新增纯虚函数 doMonProc() 和钩子函数 doInitExtend()， init() 和 mon_proc() 中所有类型分支替换为虚函数委托调用。
117 lines
4.6 KiB
C++
117 lines
4.6 KiB
C++
#include <eqpalg/algs/feedback_alg.h>
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#include <eqpalg/feature_extraction/daa.h>
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#include <eqpalg/utility/build_alarm_info.h>
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#include <shm/RuleStatShm.h>
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FeedbackAlg::FeedbackAlg(const std::string& name, const mix_cc::json& rule_json,
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const std::string& ruleId, size_t exp_type)
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: ExpBase(name, rule_json, ruleId, exp_type),
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hasBoundCheck_(exp_type == ExpType::CondBound) {
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logger_.reset(new LOG("FeedbackAlg:" + rule_name_, AUTO_CATCH_PID));
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}
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FeedbackAlg::~FeedbackAlg() = default;
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void FeedbackAlg::doInitExtend() {
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if (hasBoundCheck_) {
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reload_config_up_down();
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reload_ci_dist();
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last_load_time_ = std::chrono::system_clock::now();
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stat_collector_.configure(rule_id_, rule_name_, dist_mode_, is_learning_);
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}
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}
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AlarmInfo FeedbackAlg::doMonProc() {
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double result_value = expr_engine_->evaluate("act");
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// CondBound: filter + statistics
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if (hasBoundCheck_) {
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bool filter_ok = true;
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try {
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filter_ok = expr_engine_->evaluateBool("feedback");
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} catch (...) {}
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if (is_learning_ && filter_ok) {
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rule_stat_.current_value = result_value;
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SingletonTemp<EqpStat>::GetInstance().add_stat_values(rule_id_, result_value);
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}
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}
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bool triggered = static_cast<bool>(result_value);
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// === FbStateMachine ===
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auto [fbState, needFunReset] = fb_fsm_.update(
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triggered, now_time_, expr_engine_->vars(), m_tags.size());
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if (needFunReset) {
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expr_engine_->markFunVarsNeedReset();
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}
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if (fbState == FbState::Started) {
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query_time_range_.set_left(now_time_);
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return AlarmInfo{};
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}
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if (fbState == FbState::NotHold) {
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return AlarmInfo{};
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}
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if (fbState == FbState::InProgress) {
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bool fbCond = expr_engine_->evaluateBool("feedback");
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bool done = fb_fsm_.checkFeedback(fbCond, now_time_, expr_engine_->vars());
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if (done) {
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query_time_range_.set_left(
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query_time_range_.get_right() -
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std::chrono::milliseconds(static_cast<int>(expr_engine_->vars()["time"])));
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result_value = expr_engine_->evaluate("result");
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expr_engine_->markFunVarsNeedReset();
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rule_stat_.limit_down = bound_checker_.limitDown();
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rule_stat_.limit_up = bound_checker_.limitUp();
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rule_stat_.current_value = result_value;
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if (hasBoundCheck_) {
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if (is_learning_) {
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SingletonTemp<EqpStat>::GetInstance().add_stat_values(
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rule_id_, result_value);
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}
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if (bound_checker_.isOutOfBounds(result_value)) {
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rule_stat_.alarm_value = result_value;
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std::string msg;
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if (fb_fsm_.isTimeMode()) {
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msg = error_str_ + ":" + DAA::double2str(result_value) +
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"ms,时间范围:[0," + DAA::double2str(bound_checker_.limitUp()) + "] ms";
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} else {
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msg = error_str_ + ":" + DAA::double2str(result_value) + unit_ +
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",合理区间:[" + DAA::double2strLimit(bound_checker_.limitDown()) +
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"," + DAA::double2strLimit(bound_checker_.limitUp()) + "]" + unit_;
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}
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return utility::build_alarm_info(
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utility::get_msg_level(bound_checker_.limitDown(),
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bound_checker_.limitUp(), result_value),
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rule_id_, rule_name_, "EXP4", msg, get_alarm_time());
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}
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} else {
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if (static_cast<bool>(result_value)) {
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rule_stat_.alarm_value = result_value;
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auto msg = rule_name_ + " " + error_str_;
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return utility::build_alarm_info(MsgLevel::ERROR, rule_id_,
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rule_name_, "EXP3", msg,
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get_alarm_time());
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}
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}
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}
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return AlarmInfo{};
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}
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if (fbState == FbState::Timeout) {
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if (fb_fsm_.isTimeMode()) {
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std::string msg = rule_name_ + " 反馈超时：" +
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std::to_string(time_out_.count()) + " ms";
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return utility::build_alarm_info(MsgLevel::ERROR, rule_id_, rule_name_,
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"EXPACT", msg, query_time_range_);
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}
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return AlarmInfo{};
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}
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return AlarmInfo{};
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}
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