67 lines
2.1 KiB
C++
67 lines
2.1 KiB
C++
#include <eqpalg/algs/bound_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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BoundAlg::BoundAlg(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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logger_.reset(new LOG("BoundAlg:" + rule_name_, AUTO_CATCH_PID));
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}
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BoundAlg::~BoundAlg() = default;
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int BoundAlg::init() {
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int ret = ExpBase::init();
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if (ret == 0) {
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exp_is_wrong_ = false;
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}
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return ret;
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}
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void BoundAlg::doInitExtend() {
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// BoundAlg 额外的初始化：上下限
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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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bool BoundAlg::checkFilter() {
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if (!expr_engine_->hasExpression("feedback")) {
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return true; // 无筛选表达式，所有数据参与
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}
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try {
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return expr_engine_->evaluateBool("feedback");
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} catch (...) {
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return false;
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}
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}
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AlarmInfo BoundAlg::doMonProc() {
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double result_value = expr_engine_->evaluate("act");
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filter_flag_ = false;
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// 数据筛选
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filter_flag_ = checkFilter();
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// 自学习统计
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if (is_learning_ && filter_flag_) {
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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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// 超限检测
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if (filter_flag_ && bound_checker_.isOutOfBounds(result_value)) {
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rule_stat_.alarm_value = result_value;
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auto 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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query_time_range_.set_left(query_time_range_.get_right() - delay_time_);
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expr_engine_->markFunVarsNeedReset();
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return utility::build_alarm_info(MsgLevel::ERROR, rule_id_, rule_name_,
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"EXP2", msg, get_alarm_time());
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}
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return AlarmInfo{};
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}
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