filter.cpp

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#include "esphome/core/defines.h"
#ifdef USE_SENSOR_FILTER
 
#include "filter.h"
#include <cmath>
#include "esphome/core/application.h"
#include "esphome/core/hal.h"
#include "esphome/core/helpers.h"
#include "esphome/core/log.h"
#include "sensor.h"
 
namespace esphome::sensor {
 
static const char *const TAG = "sensor.filter";
 
// Filter scheduler IDs.
// Each filter is its own Component instance, so the scheduler scopes
// IDs by component pointer — no risk of collisions between instances.
constexpr uint32_t FILTER_ID = 0;
 
// Filter
void Filter::input(float value) {
  ESP_LOGVV(TAG, "Filter(%p)::input(%f)", this, value);
  optional<float> out = this->new_value(value);
  if (out.has_value())
    this->output(*out);
}
void Filter::output(float value) {
  if (this->next_ == nullptr) {
    ESP_LOGVV(TAG, "Filter(%p)::output(%f) -> SENSOR", this, value);
    this->parent_->internal_send_state_to_frontend(value);
  } else {
    ESP_LOGVV(TAG, "Filter(%p)::output(%f) -> %p", this, value, this->next_);
    this->next_->input(value);
  }
}
void Filter::initialize(Sensor *parent, Filter *next) {
  ESP_LOGVV(TAG, "Filter(%p)::initialize(parent=%p next=%p)", this, parent, next);
  this->parent_ = parent;
  this->next_ = next;
}
 
// SlidingWindowFilter
SlidingWindowFilter::SlidingWindowFilter(uint16_t window_size, uint16_t send_every, uint16_t send_first_at)
    : send_every_(send_every), send_at_(send_every - send_first_at) {
  this->window_.init(window_size);
}
 
optional<float> SlidingWindowFilter::new_value(float value) {
  // Add value to ring buffer (overwrites oldest when full)
  this->window_.push_overwrite(value);
 
  // Check if we should send a result
  if (++this->send_at_ >= this->send_every_) {
    this->send_at_ = 0;
    float result = this->compute_result();
    ESP_LOGVV(TAG, "SlidingWindowFilter(%p)::new_value(%f) SENDING %f", this, value, result);
    return result;
  }
  return {};
}
 
// SortedWindowFilter
FixedVector<float> SortedWindowFilter::get_window_values_() {
  // Copy window without NaN values using FixedVector (no heap allocation)
  // Returns unsorted values - caller will use std::nth_element for partial sorting as needed
  FixedVector<float> values;
  values.init(this->window_.size());
  for (float v : this->window_) {
    if (!std::isnan(v)) {
      values.push_back(v);
    }
  }
  return values;
}
 
// MedianFilter
float MedianFilter::compute_result() {
  FixedVector<float> values = this->get_window_values_();
  if (values.empty())
    return NAN;
 
  size_t size = values.size();
  size_t mid = size / 2;
 
  if (size % 2) {
    // Odd number of elements - use nth_element to find middle element
    std::nth_element(values.begin(), values.begin() + mid, values.end());
    return values[mid];
  }
  // Even number of elements - need both middle elements
  // Use nth_element to find upper middle element
  std::nth_element(values.begin(), values.begin() + mid, values.end());
  float upper = values[mid];
  // Find the maximum of the lower half (which is now everything before mid)
  float lower = *std::max_element(values.begin(), values.begin() + mid);
  return (lower + upper) / 2.0f;
}
 
// SkipInitialFilter
SkipInitialFilter::SkipInitialFilter(size_t num_to_ignore) : num_to_ignore_(num_to_ignore) {}
optional<float> SkipInitialFilter::new_value(float value) {
  if (num_to_ignore_ > 0) {
    num_to_ignore_--;
    ESP_LOGV(TAG, "SkipInitialFilter(%p)::new_value(%f) SKIPPING, %zu left", this, value, num_to_ignore_);
    return {};
  }
 
  ESP_LOGV(TAG, "SkipInitialFilter(%p)::new_value(%f) SENDING", this, value);
  return value;
}
 
// QuantileFilter
QuantileFilter::QuantileFilter(size_t window_size, size_t send_every, size_t send_first_at, float quantile)
    : SortedWindowFilter(window_size, send_every, send_first_at), quantile_(quantile) {}
 
float QuantileFilter::compute_result() {
  FixedVector<float> values = this->get_window_values_();
  if (values.empty())
    return NAN;
 
  size_t position = ceilf(values.size() * this->quantile_) - 1;
  ESP_LOGVV(TAG, "QuantileFilter(%p)::position: %zu/%zu", this, position + 1, values.size());
 
  // Use nth_element to find the quantile element (O(n) instead of O(n log n))
  std::nth_element(values.begin(), values.begin() + position, values.end());
  return values[position];
}
 
// MinFilter
float MinFilter::compute_result() { return this->find_extremum_<std::less<float>>(); }
 
// MaxFilter
float MaxFilter::compute_result() { return this->find_extremum_<std::greater<float>>(); }
 
// SlidingWindowMovingAverageFilter
float SlidingWindowMovingAverageFilter::compute_result() {
  float sum = 0;
  size_t valid_count = 0;
  for (float v : this->window_) {
    if (!std::isnan(v)) {
      sum += v;
      valid_count++;
    }
  }
  return valid_count ? sum / valid_count : NAN;
}
 
// ExponentialMovingAverageFilter
ExponentialMovingAverageFilter::ExponentialMovingAverageFilter(float alpha, uint16_t send_every, uint16_t send_first_at)
    : alpha_(alpha), send_every_(send_every), send_at_(send_every - send_first_at) {}
optional<float> ExponentialMovingAverageFilter::new_value(float value) {
  if (!std::isnan(value)) {
    if (this->first_value_) {
      this->accumulator_ = value;
      this->first_value_ = false;
    } else {
      this->accumulator_ = (this->alpha_ * value) + (1.0f - this->alpha_) * this->accumulator_;
    }
  }
 
  const float average = std::isnan(value) ? value : this->accumulator_;
  ESP_LOGVV(TAG, "ExponentialMovingAverageFilter(%p)::new_value(%f) -> %f", this, value, average);
 
  if (++this->send_at_ >= this->send_every_) {
    ESP_LOGVV(TAG, "ExponentialMovingAverageFilter(%p)::new_value(%f) SENDING %f", this, value, average);
    this->send_at_ = 0;
    return average;
  }
  return {};
}
void ExponentialMovingAverageFilter::set_send_every(uint16_t send_every) { this->send_every_ = send_every; }
void ExponentialMovingAverageFilter::set_alpha(float alpha) { this->alpha_ = alpha; }
 
// ThrottleAverageFilter
ThrottleAverageFilter::ThrottleAverageFilter(uint32_t time_period) : time_period_(time_period) {}
 
optional<float> ThrottleAverageFilter::new_value(float value) {
  ESP_LOGVV(TAG, "ThrottleAverageFilter(%p)::new_value(value=%f)", this, value);
  if (std::isnan(value)) {
    this->have_nan_ = true;
  } else {
    this->sum_ += value;
    this->n_++;
  }
  return {};
}
void ThrottleAverageFilter::setup() {
  this->set_interval(FILTER_ID, this->time_period_, [this]() {
    ESP_LOGVV(TAG, "ThrottleAverageFilter(%p)::interval(sum=%f, n=%i)", this, this->sum_, this->n_);
    if (this->n_ == 0) {
      if (this->have_nan_)
        this->output(NAN);
    } else {
      this->output(this->sum_ / this->n_);
      this->sum_ = 0.0f;
      this->n_ = 0;
    }
    this->have_nan_ = false;
  });
}
float ThrottleAverageFilter::get_setup_priority() const { return setup_priority::HARDWARE; }
 
// LambdaFilter
LambdaFilter::LambdaFilter(lambda_filter_t lambda_filter) : lambda_filter_(std::move(lambda_filter)) {}
const lambda_filter_t &LambdaFilter::get_lambda_filter() const { return this->lambda_filter_; }
void LambdaFilter::set_lambda_filter(const lambda_filter_t &lambda_filter) { this->lambda_filter_ = lambda_filter; }
 
optional<float> LambdaFilter::new_value(float value) {
  auto it = this->lambda_filter_(value);
  ESP_LOGVV(TAG, "LambdaFilter(%p)::new_value(%f) -> %f", this, value, it.value_or(INFINITY));
  return it;
}
 
// OffsetFilter
OffsetFilter::OffsetFilter(TemplatableFn<float> offset) : offset_(offset) {}
 
optional<float> OffsetFilter::new_value(float value) { return value + this->offset_.value(); }
 
// MultiplyFilter
MultiplyFilter::MultiplyFilter(TemplatableFn<float> multiplier) : multiplier_(multiplier) {}
 
optional<float> MultiplyFilter::new_value(float value) { return value * this->multiplier_.value(); }
 
// ValueListFilter helper (non-template, shared by all ValueListFilter<N> instantiations)
bool value_list_matches_any(Sensor *parent, float sensor_value, const TemplatableFn<float> *values, size_t count) {
  int8_t accuracy = parent->get_accuracy_decimals();
  float accuracy_mult = pow10_int(accuracy);
  float rounded_sensor = roundf(accuracy_mult * sensor_value);
 
  for (size_t i = 0; i < count; i++) {
    float fv = values[i].value();
 
    // Handle NaN comparison
    if (std::isnan(fv)) {
      if (std::isnan(sensor_value))
        return true;
      continue;
    }
 
    // Compare rounded values
    if (roundf(accuracy_mult * fv) == rounded_sensor)
      return true;
  }
 
  return false;
}
 
// ThrottleFilter
ThrottleFilter::ThrottleFilter(uint32_t min_time_between_inputs) : min_time_between_inputs_(min_time_between_inputs) {}
optional<float> ThrottleFilter::new_value(float value) {
  const uint32_t now = App.get_loop_component_start_time();
  if (this->last_input_ == 0 || now - this->last_input_ >= min_time_between_inputs_) {
    this->last_input_ = now;
    return value;
  }
  return {};
}
 
// ThrottleWithPriorityFilter helper (non-template, keeps App access in .cpp)
optional<float> throttle_with_priority_new_value(Sensor *parent, float value, const TemplatableFn<float> *values,
                                                 size_t count, uint32_t &last_input, uint32_t min_time_between_inputs) {
  const uint32_t now = App.get_loop_component_start_time();
  if (last_input == 0 || now - last_input >= min_time_between_inputs ||
      value_list_matches_any(parent, value, values, count)) {
    last_input = now;
    return value;
  }
  return {};
}
 
// DeltaFilter
DeltaFilter::DeltaFilter(float min_a0, float min_a1, float max_a0, float max_a1)
    : min_a0_(min_a0), min_a1_(min_a1), max_a0_(max_a0), max_a1_(max_a1) {}
 
void DeltaFilter::set_baseline(float (*fn)(float)) { this->baseline_ = fn; }
 
optional<float> DeltaFilter::new_value(float value) {
  // Always yield the first value.
  if (std::isnan(this->last_value_)) {
    this->last_value_ = value;
    return value;
  }
  // calculate min and max using the linear equation
  float ref = this->baseline_(this->last_value_);
  float min = fabsf(this->min_a0_ + ref * this->min_a1_);
  float max = fabsf(this->max_a0_ + ref * this->max_a1_);
  float delta = fabsf(value - ref);
  // if there is no reference, e.g. for the first value, just accept this one,
  // otherwise accept only if within range.
  if (delta > min && delta <= max) {
    this->last_value_ = value;
    return value;
  }
  return {};
}
 
// OrFilter helpers
void or_filter_initialize(Filter **filters, size_t count, Sensor *parent, Filter *phi) {
  for (size_t i = 0; i < count; i++) {
    filters[i]->initialize(parent, phi);
  }
  phi->initialize(parent, nullptr);
}
 
optional<float> or_filter_new_value(Filter **filters, size_t count, float value, bool &has_value) {
  has_value = false;
  for (size_t i = 0; i < count; i++)
    filters[i]->input(value);
  return {};
}
 
// TimeoutFilterBase - shared loop logic
void TimeoutFilterBase::loop() {
  // Check if timeout period has elapsed
  // Use cached loop start time to avoid repeated millis() calls
  const uint32_t now = App.get_loop_component_start_time();
  if (now - this->timeout_start_time_ >= this->time_period_) {
    // Timeout fired - get output value from derived class and output it
    this->output(this->get_output_value());
 
    // Disable loop until next value arrives
    this->disable_loop();
  }
}
 
float TimeoutFilterBase::get_setup_priority() const { return setup_priority::HARDWARE; }
 
// TimeoutFilterLast - "last" mode implementation
optional<float> TimeoutFilterLast::new_value(float value) {
  // Store the value to output when timeout fires
  this->pending_value_ = value;
 
  // Record when timeout started and enable loop
  this->timeout_start_time_ = millis();
  this->enable_loop();
 
  return value;
}
 
// TimeoutFilterConfigured - configured value mode implementation
optional<float> TimeoutFilterConfigured::new_value(float value) {
  // Record when timeout started and enable loop
  // Note: we don't store the incoming value since we have a configured value
  this->timeout_start_time_ = millis();
  this->enable_loop();
 
  return value;
}
 
// DebounceFilter
optional<float> DebounceFilter::new_value(float value) {
  this->set_timeout(FILTER_ID, this->time_period_, [this, value]() { this->output(value); });
 
  return {};
}
 
DebounceFilter::DebounceFilter(uint32_t time_period) : time_period_(time_period) {}
float DebounceFilter::get_setup_priority() const { return setup_priority::HARDWARE; }
 
// HeartbeatFilter
HeartbeatFilter::HeartbeatFilter(uint32_t time_period) : time_period_(time_period), last_input_(NAN) {}
 
optional<float> HeartbeatFilter::new_value(float value) {
  ESP_LOGVV(TAG, "HeartbeatFilter(%p)::new_value(value=%f)", this, value);
  this->last_input_ = value;
  this->has_value_ = true;
 
  if (this->optimistic_) {
    return value;
  }
  return {};
}
 
void HeartbeatFilter::setup() {
  this->set_interval(FILTER_ID, this->time_period_, [this]() {
    ESP_LOGVV(TAG, "HeartbeatFilter(%p)::interval(has_value=%s, last_input=%f)", this, YESNO(this->has_value_),
              this->last_input_);
    if (!this->has_value_)
      return;
 
    this->output(this->last_input_);
  });
}
 
float HeartbeatFilter::get_setup_priority() const { return setup_priority::HARDWARE; }
 
optional<float> calibrate_linear_compute(const std::array<float, 3> *functions, size_t count, float value) {
  for (size_t i = 0; i < count; i++) {
    if (!std::isfinite(functions[i][2]) || value < functions[i][2])
      return (value * functions[i][0]) + functions[i][1];
  }
  return NAN;
}
 
optional<float> calibrate_polynomial_compute(const float *coefficients, size_t count, float value) {
  float res = 0.0f;
  float x = 1.0f;
  for (size_t i = 0; i < count; i++) {
    res += x * coefficients[i];
    x *= value;
  }
  return res;
}
 
ClampFilter::ClampFilter(float min, float max, bool ignore_out_of_range)
    : min_(min), max_(max), ignore_out_of_range_(ignore_out_of_range) {}
optional<float> ClampFilter::new_value(float value) {
  if (std::isfinite(this->min_) && !(value >= this->min_)) {
    if (this->ignore_out_of_range_) {
      return {};
    }
    return this->min_;
  }
 
  if (std::isfinite(this->max_) && !(value <= this->max_)) {
    if (this->ignore_out_of_range_) {
      return {};
    }
    return this->max_;
  }
  return value;
}
 
RoundFilter::RoundFilter(uint8_t precision) : precision_(precision) {}
optional<float> RoundFilter::new_value(float value) {
  if (std::isfinite(value)) {
    float accuracy_mult = pow10_int(this->precision_);
    return roundf(accuracy_mult * value) / accuracy_mult;
  }
  return value;
}
 
RoundMultipleFilter::RoundMultipleFilter(float multiple) : multiple_(multiple) {}
optional<float> RoundMultipleFilter::new_value(float value) {
  if (std::isfinite(value)) {
    return value - remainderf(value, this->multiple_);
  }
  return value;
}
 
optional<float> ToNTCResistanceFilter::new_value(float value) {
  if (!std::isfinite(value)) {
    return NAN;
  }
  double k = 273.15;
  // https://de.wikipedia.org/wiki/Steinhart-Hart-Gleichung#cite_note-stein2_s4-3
  double t = value + k;
  double y = (this->a_ - 1 / (t)) / (2 * this->c_);
  double x = sqrt(pow(this->b_ / (3 * this->c_), 3) + y * y);
  double resistance = exp(pow(x - y, 1 / 3.0) - pow(x + y, 1 / 3.0));
  return resistance;
}
 
optional<float> ToNTCTemperatureFilter::new_value(float value) {
  if (!std::isfinite(value)) {
    return NAN;
  }
  double lr = log(double(value));
  double v = this->a_ + this->b_ * lr + this->c_ * lr * lr * lr;
  double temp = float(1.0 / v - 273.15);
  return temp;
}
 
// StreamingFilter (base class)
StreamingFilter::StreamingFilter(uint16_t window_size, uint16_t send_first_at)
    : window_size_(window_size), send_first_at_(send_first_at) {}
 
optional<float> StreamingFilter::new_value(float value) {
  // Process the value (child class tracks min/max/sum/etc)
  this->process_value(value);
 
  this->count_++;
 
  // Check if we should send (handle send_first_at for first value)
  bool should_send = false;
  if (this->first_send_ && this->count_ >= this->send_first_at_) {
    should_send = true;
    this->first_send_ = false;
  } else if (!this->first_send_ && this->count_ >= this->window_size_) {
    should_send = true;
  }
 
  if (should_send) {
    float result = this->compute_batch_result();
    // Reset for next batch
    this->count_ = 0;
    this->reset_batch();
    ESP_LOGVV(TAG, "StreamingFilter(%p)::new_value(%f) SENDING %f", this, value, result);
    return result;
  }
 
  return {};
}
 
// StreamingMinFilter
void StreamingMinFilter::process_value(float value) {
  // Update running minimum (ignore NaN values)
  if (!std::isnan(value)) {
    this->current_min_ = std::isnan(this->current_min_) ? value : std::min(this->current_min_, value);
  }
}
 
float StreamingMinFilter::compute_batch_result() { return this->current_min_; }
 
void StreamingMinFilter::reset_batch() { this->current_min_ = NAN; }
 
// StreamingMaxFilter
void StreamingMaxFilter::process_value(float value) {
  // Update running maximum (ignore NaN values)
  if (!std::isnan(value)) {
    this->current_max_ = std::isnan(this->current_max_) ? value : std::max(this->current_max_, value);
  }
}
 
float StreamingMaxFilter::compute_batch_result() { return this->current_max_; }
 
void StreamingMaxFilter::reset_batch() { this->current_max_ = NAN; }
 
// StreamingMovingAverageFilter
void StreamingMovingAverageFilter::process_value(float value) {
  // Accumulate sum (ignore NaN values)
  if (!std::isnan(value)) {
    this->sum_ += value;
    this->valid_count_++;
  }
}
 
float StreamingMovingAverageFilter::compute_batch_result() {
  return this->valid_count_ > 0 ? this->sum_ / this->valid_count_ : NAN;
}
 
void StreamingMovingAverageFilter::reset_batch() {
  this->sum_ = 0.0f;
  this->valid_count_ = 0;
}
 
}  // namespace esphome::sensor
 
#endif  // USE_SENSOR_FILTER