/******************************************************************************************************************
 * Action instruction algorithm(study sample data online,compare with sample
 *data)
 *
 * arg[0] action expression
 * arg[1] feedback expression
 * arg[2] expression of judgment result
 *
 * feedback expression
 * arg[2] expression of judgment result
 *
 *   1.0    2020-12-17    zoufuzhou
 *   1.1    2021-3 c@t    add DTW
 ******************************************************************************************************************/
#include <eqpalg/algs/exp_sample_curve.h>
#include <eqpalg/utility/build_alarm_info.h>
#include <vector>
#include <memory>

// add static modules
int ExpSampleCurve::init() {
  try {
    sample_stat_.load();
  } catch (const std::exception& e) {
       std::throw_with_nested(
        mix_cc::Exception(-1, "init error", BOOST_CURRENT_LOCATION));
  }
  return 0;
}

ExpSampleCurve::ExpSampleCurve(const string& name,
                               const mix_cc::json& rule_json,
                               const string& ruleId)
    : ExpSample<s_curve_impl_t>(name, rule_json, ruleId) {
  logger_.reset(new LOG("ExpSampleCurve" + name, AUTO_CATCH_PID));
  this->init();
}

ExpSampleCurve::~ExpSampleCurve() {}

AlarmInfo ExpSampleCurve::mon_proc() {
  try {
    std::vector<double> curve_data;
    act_triggered_ = static_cast<bool>(exp_act_->evaluate());
    if (act_triggered_) {
      curve_data.push_back(exp_result_->evaluate());
    }
    if (feedback_mode_) {
      feedback_triggered_ = static_cast<bool>(exp_feedback_->evaluate());
      if (act_started_done()) {
        return AlarmInfo{};
      }
      if (act_not_hold()) {
        return AlarmInfo{};
      }
      if (act_done()) {
        this->log_action_info(curve_data.back());
        auto result =
            this->sample_stat_.auto_detect_and_save(curve_data, now_time_);
        curve_data.clear();
        if (result) {
          return utility::build_alarm_info(
              MsgLevel::ERROR, rule_id_, rule_name_, "POLYFIT",
              error_str_ + result.get_alarm_info(), query_time_range_);
        }
      } else if (act_timeout()) {
        this->get_timeout_alarm();
      }
    } else {
      if (act_started_done()) {
        return AlarmInfo{};
      } else if (!act_triggered_ && act_started_) {
        act_started_ = false;
        auto result =
            this->sample_stat_.auto_detect_and_save(curve_data, now_time_);
        curve_data.clear();
        if (result) {
          return utility::build_alarm_info(
              MsgLevel::ERROR, rule_id_, rule_name_, "POLYFIT",
              error_str_ + result.get_alarm_info(), query_time_range_);
        }
      }
    }
  } catch (const std::exception& e) {
    std::throw_with_nested(
        mix_cc::Exception(-1, "calc_once error", BOOST_CURRENT_LOCATION));
  }
  return AlarmInfo{};
}