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@ -61,6 +61,7 @@ SensorPublishAction = sensor_ns.class_('SensorPublishAction', automation.Action)
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# Filters
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Filter = sensor_ns.class_('Filter')
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MedianFilter = sensor_ns.class_('MedianFilter', Filter)
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SlidingWindowMovingAverageFilter = sensor_ns.class_('SlidingWindowMovingAverageFilter', Filter)
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ExponentialMovingAverageFilter = sensor_ns.class_('ExponentialMovingAverageFilter', Filter)
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LambdaFilter = sensor_ns.class_('LambdaFilter', Filter)
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@ -127,6 +128,19 @@ def filter_out_filter_to_code(config, filter_id):
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yield cg.new_Pvariable(filter_id, config)
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MEDIAN_SCHEMA = cv.All(cv.Schema({
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cv.Optional(CONF_WINDOW_SIZE, default=5): cv.positive_not_null_int,
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cv.Optional(CONF_SEND_EVERY, default=5): cv.positive_not_null_int,
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cv.Optional(CONF_SEND_FIRST_AT, default=1): cv.positive_not_null_int,
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}), validate_send_first_at)
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@FILTER_REGISTRY.register('median', MedianFilter, MEDIAN_SCHEMA)
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def median_filter_to_code(config, filter_id):
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yield cg.new_Pvariable(filter_id, config[CONF_WINDOW_SIZE], config[CONF_SEND_EVERY],
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config[CONF_SEND_FIRST_AT])
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SLIDING_AVERAGE_SCHEMA = cv.All(cv.Schema({
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cv.Optional(CONF_WINDOW_SIZE, default=15): cv.positive_not_null_int,
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cv.Optional(CONF_SEND_EVERY, default=15): cv.positive_not_null_int,
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@ -39,6 +39,44 @@ uint32_t Filter::calculate_remaining_interval(uint32_t input) {
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}
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}
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// MedianFilter
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MedianFilter::MedianFilter(size_t window_size, size_t send_every, size_t send_first_at)
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: send_every_(send_every), send_at_(send_every - send_first_at), window_size_(window_size) {}
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void MedianFilter::set_send_every(size_t send_every) { this->send_every_ = send_every; }
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void MedianFilter::set_window_size(size_t window_size) { this->window_size_ = window_size; }
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optional<float> MedianFilter::new_value(float value) {
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if (!isnan(value)) {
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while (this->queue_.size() >= this->window_size_) {
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this->queue_.pop_front();
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}
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this->queue_.push_back(value);
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ESP_LOGVV(TAG, "MedianFilter(%p)::new_value(%f)", this, value);
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}
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if (++this->send_at_ >= this->send_every_) {
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this->send_at_ = 0;
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float median = 0.0f;
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if (!this->queue_.empty()) {
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std::deque<float> median_queue = this->queue_;
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sort(median_queue.begin(), median_queue.end());
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size_t queue_size = median_queue.size();
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if (queue_size % 2) {
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median = median_queue[queue_size / 2];
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} else {
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median = (median_queue[queue_size / 2] + median_queue[(queue_size / 2) - 1]) / 2.0f;
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}
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}
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ESP_LOGVV(TAG, "MedianFilter(%p)::new_value(%f) SENDING", this, median);
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return median;
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}
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return {};
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}
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uint32_t MedianFilter::expected_interval(uint32_t input) { return input * this->send_every_; }
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// SlidingWindowMovingAverageFilter
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SlidingWindowMovingAverageFilter::SlidingWindowMovingAverageFilter(size_t window_size, size_t send_every,
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size_t send_first_at)
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@ -46,6 +46,36 @@ class Filter {
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Sensor *parent_{nullptr};
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};
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/** Simple median filter.
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*
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* Takes the median of the last <send_every> values and pushes it out every <send_every>.
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*/
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class MedianFilter : public Filter {
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public:
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/** Construct a MedianFilter.
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*
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* @param window_size The number of values that should be used in median calculation.
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* @param send_every After how many sensor values should a new one be pushed out.
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* @param send_first_at After how many values to forward the very first value. Defaults to the first value
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* on startup being published on the first *raw* value, so with no filter applied. Must be less than or equal to
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* send_every.
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*/
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explicit MedianFilter(size_t window_size, size_t send_every, size_t send_first_at);
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optional<float> new_value(float value) override;
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void set_send_every(size_t send_every);
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void set_window_size(size_t window_size);
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uint32_t expected_interval(uint32_t input) override;
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protected:
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std::deque<float> queue_;
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size_t send_every_;
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size_t send_at_;
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size_t window_size_;
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};
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/** Simple sliding window moving average filter.
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*
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* Essentially just takes takes the average of the last window_size values and pushes them out
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@ -191,6 +191,10 @@ sensor:
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- 100.0 -> 102.5
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- filter_out: 42.0
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- filter_out: nan
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- median:
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window_size: 5
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send_every: 5
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send_first_at: 3
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- sliding_window_moving_average:
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window_size: 15
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send_every: 15
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