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fix prediction date report pandora_enterprise#13568

This commit is contained in:
daniel 2024-05-03 12:52:13 +02:00
parent b400846329
commit 309159a860
1 changed files with 49 additions and 42 deletions
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91
pandora_console/include/functions_forecast.php
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@ -134,11 +134,14 @@ function forecast_projection_graph(
// 3.1 Standard deviation for X: sqrt((Sum(Xi²)/Obs) - (avg X)²)
// 3.2 Standard deviation for Y: sqrt((Sum(Yi²)/Obs) - (avg Y)²)
// Linear correlation coefficient:
// Agent interval could be zero, 300 is the predefined
// Agent interval could be zero, 300 is the predefined.
if ($sum_obs == 0) {
$agent_interval = SECONDS_5MINUTES;
} else {
$agent_interval = ($sum_diff_dates / $sum_obs);
if ($agent_interval < 60) {
$agent_interval = SECONDS_1MINUTE;
}
}
// Could be a inverse correlation coefficient
@ -170,7 +173,7 @@ function forecast_projection_graph(
$a = 0;
}
// Data inicialization
// Data inicialization.
$output_data = [];
if ($prediction_period != false) {
$limit_timestamp = ($last_timestamp + $prediction_period);
@ -199,50 +202,54 @@ function forecast_projection_graph(
$time_format = 'M d';
}
// Aplying linear regression to module data in order to do the prediction
$idx = 0;
// Create data in graph format like
while ($in_range) {
$now = time();
try {
// Aplying linear regression to module data in order to do the prediction.
$idx = 0;
// Create data in graph format like.
while ($in_range) {
$now = time();
// Check that exec time is not greater than half max exec server time
if ($max_exec_time != false) {
if (($begin_time + ($max_exec_time / 2)) < $now) {
return false;
}
}
$timestamp_f = ($current_ts * 1000);
if ($csv) {
$output_data[$idx]['date'] = $current_ts;
$output_data[$idx]['data'] = ($a + ($b * $current_ts));
} else {
$output_data[$idx][0] = $timestamp_f;
$output_data[$idx][1] = ($a + ($b * $current_ts));
}
// Using this function for prediction_date
if ($prediction_period == false) {
// These statements stop the prediction when interval is greater than 2 years
if (($current_ts - $last_timestamp) >= 94608000
|| $max_value == $min_value
) {
return false;
// Check that exec time is not greater than half max exec server time.
if ($max_exec_time != false) {
if (($begin_time + ($max_exec_time / 2)) < $now) {
return false;
}
}
// Found it
if (($max_value >= $output_data[$idx][1])
&& ($min_value <= $output_data[$idx][0])
) {
return ($current_ts + ($sum_diff_dates * $agent_interval));
}
} else if ($current_ts > $limit_timestamp) {
$in_range = false;
}
$timestamp_f = ($current_ts * 1000);
$current_ts = ($current_ts + $agent_interval);
$idx++;
if ($csv) {
$output_data[$idx]['date'] = $current_ts;
$output_data[$idx]['data'] = ($a + ($b * $current_ts));
} else {
$output_data[$idx][0] = $timestamp_f;
$output_data[$idx][1] = ($a + ($b * $current_ts));
}
// Using this function for prediction_date.
if ($prediction_period == false) {
// These statements stop the prediction when interval is greater than 2 years.
if (($current_ts - $last_timestamp) >= 94608000
|| $max_value == $min_value
) {
return false;
}
// Found it.
if (($max_value >= $output_data[$idx][1])
&& ($min_value <= $output_data[$idx][0])
) {
return ($current_ts + ($sum_diff_dates * $agent_interval));
}
} else if ($current_ts > $limit_timestamp) {
$in_range = false;
}
$current_ts = ($current_ts + $agent_interval);
$idx++;
}
} catch (\Exception $e) {
return false;
}
return $output_data;