224c2c45c4
Cleaned 66 files across all eqpalg subdirectories: - Removed commented-out dead code - Removed redundant Chinese inline comments that restate variable/function names - Removed trailing ///< annotations on self-explanatory fields - Removed namespace closing comments - Preserved all file headers, Doxygen documentation, and logic explanations - No code changes — only comment removal
226 lines
7.8 KiB
C++
226 lines
7.8 KiB
C++
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#include <base/BitTool.h>
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#include <eqpalg/algs/roller.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 <algorithm>
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#include <limits>
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#include <string>
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#include <utility>
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#include <vector>
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#include "mix_cc/ihyper_db.h"
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// 炉辊组算法无需额外的算法初始化步骤
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int Roller::init() {
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int res = 0;
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try {
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res += AlgBase::init();
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this->n_tags_ = m_tags.size();
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if (this->delay_time_ > 3min) {
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this->interval_time_ = this->delay_time_;
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} else {
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this->interval_time_ = 3min;
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}
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this->data_source_ = DataSource::IHDB;
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this->error_name_ =
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rule_json_.at("output").at("reason").at("value").get<std::string>();
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this->error_diff_ = std::stod(rule_json_.at("function")
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.at("result")
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.at("param")
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.at("limit_over")
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.at("value")
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.get<std::string>());
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this->error_content_ =
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rule_json_.at("output").at("error").at("value").get<std::string>();
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print_load_content();
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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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Roller::Roller(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("Roller:" + rule_name_, AUTO_CATCH_PID));
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}
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Roller::~Roller() {
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}
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AlarmInfo Roller::exec_mon() {
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AlarmInfo now_alarm{};
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this->refresh_now_time();
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this->query_time_range_.set_left(this->now_time_ - this->interval_time_);
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this->query_time_range_.set_right(this->now_time_);
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auto ihd_result = this->refresh_mmean_tags_ihd();
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if (ihd_result == -1) {
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return now_alarm;
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}
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while (1) {
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auto result_base = exec_mon_base();
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if (result_base == 0 || result_base == -1) {
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break;
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}
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}
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if (this->tags_errors_.size() != 0) {
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std::string msg = {};
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for (auto iter = this->tags_errors_.begin();
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iter != this->tags_errors_.end(); iter++) {
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msg = msg + " tag" + std::to_string(iter->first + 1) + "：" +
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DAA::double2str(this->mmean_tags_[iter->first]) + "," +
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BIG_SMALL[iter->second];
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}
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std::string error_info = this->error_name_ + this->error_content_ + msg;
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this->logger_->Debug() << "报警！" << this->rule_name_ << error_info
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<< std::endl;
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now_alarm =
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utility::build_alarm_info(MsgLevel::ERROR, rule_id_, rule_name_,
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"Roller", error_info, query_time_range_);
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} else {
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this->rule_stat_.limit_down = 0;
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this->rule_stat_.limit_up = 0;
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this->rule_stat_.current_value = 0;
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}
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this->logger_->Debug()
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<< this->rule_name_ << "执行完成 时间段"
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<< mix_cc::mix_time_t(this->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(this->query_time_range_.get_right())
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.to_formatted_time()
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<< std::endl;
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logger_->Debug() << "区间:[" << this->rule_stat_.limit_down << ","
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<< this->rule_stat_.limit_up
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<< "],当前值:" << this->rule_stat_.current_value << endl;
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return now_alarm;
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}
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int Roller::exec_mon_base() {
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int flag = 0;
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int n_tags = this->comparison_tags_.size();
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//计算均值
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int result = minmaxsum_get(this->comparison_tags_);
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double sum_mmean = this->min_max_sum_[2];
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double m_ave = sum_mmean / n_tags;
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if (n_tags > 2) {
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m_ave = (sum_mmean - this->min_max_sum_[0] - this->min_max_sum_[1]) /
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(n_tags - 2);
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}
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//寻找异常
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this->logger_->Debug() << "result=" << result << ",n_tags=" << n_tags
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<< std::endl;
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if (m_ave < std::numeric_limits<double>::epsilon() || result == -1) {
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return -1;
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} else {
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double diff_max = std::max(fabs(this->min_max_sum_[1] - m_ave),
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fabs(this->min_max_sum_[0] - m_ave));
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for (auto iter = this->comparison_tags_.begin();
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iter != this->comparison_tags_.end();) {
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auto value_avg_diff = fabs(this->mmean_tags_[*iter] - m_ave);
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if (fabs(diff_max - value_avg_diff) <
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std::numeric_limits<double>::epsilon() &&
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flag == 0 && fabs(100 * value_avg_diff / m_ave) > this->error_diff_) {
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flag++;
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this->rule_stat_.limit_down =
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fabs(m_ave) * (1 - this->error_diff_ / 100.0);
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this->rule_stat_.limit_up =
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fabs(m_ave) * (1 + this->error_diff_ / 100.0);
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this->rule_stat_.current_value = this->mmean_tags_[*iter];
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this->rule_stat_.alarm_value = this->rule_stat_.current_value;
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logger_->Debug() << rule_name_ << ",diff_max:" << diff_max
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<< ",value_avg_diff:" << value_avg_diff
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<< ",error_diff_:" << error_diff_ << ",m_ave:" << m_ave
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<< ",min:" << this->min_max_sum_[0]
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<< ",max:" << this->min_max_sum_[1]
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<< ",sum:" << this->min_max_sum_[2]
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<< ",n_tag2:" << n_tags << std::endl;
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if (this->mmean_tags_[*iter] > m_ave) {
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tags_errors_[*iter] = 0;
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} else {
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tags_errors_[*iter] = 1;
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}
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iter = this->comparison_tags_.erase(iter);
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this->logger_->Debug() << "flag=" << flag << std::endl;
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} else {
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iter++;
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}
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}
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return flag;
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}
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}
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/**
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* @brief 获取待检查tag值的 min max sum
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* @param comparison_tags My Param doc
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* @return int
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*/
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int Roller::minmaxsum_get(std::vector<int> comparison_tags) {
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if (comparison_tags.size() < 3) {
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return -1;
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}
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this->min_max_sum_ = {this->mmean_tags_[comparison_tags[0]],
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this->mmean_tags_[comparison_tags[0]], 0};
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for (int i = 0; i < comparison_tags.size(); i++) {
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this->min_max_sum_[0] =
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std::min(this->min_max_sum_[0], this->mmean_tags_[comparison_tags[i]]);
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this->min_max_sum_[1] =
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std::max(this->min_max_sum_[1], this->mmean_tags_[comparison_tags[i]]);
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this->min_max_sum_[2] += this->mmean_tags_[comparison_tags[i]];
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}
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return 0;
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}
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std::vector<AlarmInfo> Roller::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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result.push_back(rr1);
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}
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return result;
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}
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/**
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* @brief
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* 初始化map和vector：1.mmean_tags_ 更新查询的结果；
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* 2.comparison_tags_ 初始化待检查的tag（map的key）
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* 3. tags_errors_ = {}; 异常tag及对应的异常结果（map的key，0-1）置空
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* @return int
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*/
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int Roller::refresh_mmean_tags_ihd() {
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this->comparison_tags_ = {};
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this->tags_errors_ = {};
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for (unsigned int i = 0; i < this->n_tags_; i++) {
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auto ave_maybe = mix_cc::ihd::read_data_stats_maybe(
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m_tags[i], this->query_time_range_, HD3_STATS_TYPE_ARITH_MEAN);
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if (ave_maybe.is_nothing()) {
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this->logger_->Debug() << this->rule_name_ << ":ihd查询失败" << std::endl;
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return -1;
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}
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this->mmean_tags_[i] = ave_maybe.unsafe_get_just();
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this->comparison_tags_.push_back(i);
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}
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return 0;
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}
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void Roller::print_load_content() {
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this->logger_->Debug()
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<< "执行周期："
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<< std::to_string(
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std::chrono::duration_cast<std::chrono::seconds>(this->delay_time_)
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.count())
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<< "s,均值查询时间段："
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<< std::to_string(std::chrono::duration_cast<std::chrono::seconds>(
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this->interval_time_)
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.count())
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<< "s,报警名称:" << this->error_name_
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<< ",阈值:" << std::to_string(this->error_diff_)
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<< ",报警内容:" << this->error_content_ << std::endl;
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} |