191 lines
7.1 KiB
C++
191 lines
7.1 KiB
C++
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#include "mix_cc/ihyper_db/read_data_stats.h"
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#include <base/BitTool.h>
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#include <eqpalg/algs/trend_slope2.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 <limits>
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#include <string>
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#include <utility/StringHelper.h>
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#include <vector>
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// const double MAX_SLOPE = 100000000; ///<用于设置单边区间的无用侧
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TrendSlope2::TrendSlope2(const string name, const mix_cc::json &rule_json,
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const string ruleId)
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: AlgBase(name, rule_json, ruleId) {
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logger_.reset(new LOG("TrendSlope2:" + rule_name_, AUTO_CATCH_PID));
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}
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TrendSlope2::~TrendSlope2() {
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// AlgBase::~AlgBase();
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}
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int TrendSlope2::init() {
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int res = 0;
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try {
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res += AlgBase::init();
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double interval_time = std::stod(rule_json_.at("function")
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.at("limit_error")
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.at("param")
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.at("interval_time")
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.at("value")
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.get<std::string>());
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// limit_time_interval_ = seconds(int(interval_time * 60));
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limit_time_interval_ = seconds(int(interval_time));
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if (limit_time_interval_ < seconds(1)) {
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limit_time_interval_ = seconds(1);
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}
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limit_slope_ = std::stod(rule_json_.at("function")
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.at("limit_error")
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.at("param")
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.at("diff")
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.at("value")
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.get<std::string>());
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string need_tag = rule_json_.at("function")
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.at("limit_error")
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.at("value")
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.get<std::string>();
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need_tag_seq_ = std::stoi(need_tag.substr(3)) - 1;
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double deltaX = std::stod(rule_json_.at("function")
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.at("limit_error")
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.at("param")
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.at("deltaX")
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.at("value")
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.get<std::string>());
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deltaX_ = seconds(int(deltaX * 60));
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CS_AVG_SIZE_ = std::stoi(rule_json_.at("function")
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.at("limit_error")
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.at("param")
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.at("CS_AVG_SIZE")
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.at("value")
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.get<std::string>());
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this->rule_stat_.limit_down = 0; ///<只显示 true/false 无上下限
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this->rule_stat_.limit_up = 0; ///<只显示 true/false 无上下限
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error_content_ =
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rule_json_.at("output").at("error").at("value").get<std::string>();
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logger_->Debug() << "查询均值时间[s]:"
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<< limit_time_interval_.count() / 1000
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<< ",监控量变化率:" << limit_slope_ << ",单位间隔时间："
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<< deltaX_.count() << "ms,连续出现次数:" << CS_AVG_SIZE_
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<< ",报警内容：" << error_content_ << endl;
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this->data_source_ = DataSource::IHDB;
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} catch (const std::exception &e) {
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std::throw_with_nested(
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mix_cc::Exception(-1, "load error", BOOST_CURRENT_LOCATION));
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}
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return res;
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}
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AlarmInfo TrendSlope2::exec_mon() {
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AlarmInfo out_alarm{};
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int count_error = 0;
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// this->refresh_now_time();
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now_time_ =
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system_clock::now() - 60s; ///<当前时间 往前1分钟，防止查不到ihd数据
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vector<double> avg;
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double f_slope = 0.0;
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double f_slope_max = 0; ///<斜率最大值
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try {
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/* before --> now*/
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// 检查6个周期的时间内数据的斜率是否小于目标斜率
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auto start_time = now_time_ - this->deltaX_ * CS_AVG_SIZE_;
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for (int i = 0; i < CS_AVG_SIZE_ + 1; i++) {
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query_time_range_.set_left(start_time - limit_time_interval_);
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query_time_range_.set_right(start_time);
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if (!query_time_range_.valid()) {
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logger_->Error() << "时间数据 不合法" << std::endl;
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return out_alarm;
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}
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logger_->Debug() << "时间范围"
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<< mix_cc::mix_time_t(query_time_range_.get_left())
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.to_formatted_time()
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<< " "
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<< mix_cc::mix_time_t(query_time_range_.get_right())
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.to_formatted_time()
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<< std::endl;
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// if (ihd_get_by_tag(m_tags[need_tag_seq_], query_time_range_) != 0) {
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if (refresh_ihd_cache(query_time_range_) != 0) {
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logger_->Error() << rule_name_ << ":ihd查询异常！" << std::endl;
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return out_alarm;
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}
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if (!get_prr2()) {
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logger_->Error() << rule_name_ << "：不满足前提表达式" << std::endl;
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return out_alarm;
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}
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double avgi = queried_data_.col(need_tag_seq_).mean();
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avg.push_back(avgi);
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logger_->Debug() << "avg[" << i << "]:" << avgi << endl;
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start_time = start_time + this->deltaX_;
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}
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string msgslope;
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for (int i = 0; i < CS_AVG_SIZE_ + 1; i++) {
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if (i > 0) {
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f_slope = static_cast<int>(1000.0 * (avg[i] - avg[i - 1]) + 0.5);
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f_slope = f_slope / 1000;
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f_slope_max = (abs(f_slope_max) > abs(f_slope)) ? f_slope_max : f_slope;
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if ((limit_slope_ > 0 && f_slope > limit_slope_) ||
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(limit_slope_ < 0 && f_slope < limit_slope_)) {
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msgslope += " " + DAA::double2str(f_slope, 3);
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count_error++;
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logger_->Debug() << msgslope << endl;
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} else {
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msgslope = "";
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count_error = 0;
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break;
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}
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}
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}
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if (count_error == CS_AVG_SIZE_) {
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rule_stat_.current_value = 1;
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rule_stat_.alarm_value = f_slope_max;
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string msg = error_content_ + " 斜率变化量：" + msgslope;
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logger_->Debug() << msg << endl;
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query_time_range_.set_right(now_time_);
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query_time_range_.set_left(
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now_time_ - (deltaX_ * (CS_AVG_SIZE_)-limit_time_interval_));
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return utility::build_alarm_info(MsgLevel::ERROR, rule_id_, rule_name_,
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"SLOPE", msg, query_time_range_);
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}
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rule_stat_.current_value = 0;
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} catch (const std::exception &e) {
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std::throw_with_nested(
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mix_cc::Exception(-1, "calc error", BOOST_CURRENT_LOCATION));
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}
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return out_alarm;
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}
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std::vector<AlarmInfo> TrendSlope2::exec_task(mix_cc::time_range_t time_range) {
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std::vector<AlarmInfo> result;
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for (auto now_time = time_range.get_left();
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now_time <= time_range.get_right(); now_time += delay_time_) {
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this->now_time_ = now_time;
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auto rr1 = this->exec_mon();
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if (rr1.alarmed) {
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result.push_back(rr1);
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}
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}
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return result;
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}
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bool TrendSlope2::get_prr2() {
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if (this->prr_ == 1) {
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exp_mpdule_ptr_->update(queried_data_, queried_time_);
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bool prr_result = (bool)exp_mpdule_ptr_->get_value("pre_result");
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this->now_prr_ = prr_result;
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logger_->Debug() << "ruleid:" << this->rule_id_
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<< ",rulename:" << this->rule_name_
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<< " get_prr():" << prr_result << std::endl;
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return prr_result;
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}
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this->now_prr_ = true;
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return true;
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}
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