101 lines
3.5 KiB
PHP
101 lines
3.5 KiB
PHP
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<?php
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if(isset($analytsname)) {
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// fecth trend
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// $worstanalysis = "select result_project.idAnalysis AS analysisid, result_TestName, name_analysis , COUNT(*) as counter from result_project LEFT JOIN reports ON result_project.idreports=reports.idreports LEFT JOIN analysis ON result_project.idAnalysis=analysis.idanalysis WHERE reports.idcompany='$idcompany' AND result_project.result_Rating='F' GROUP BY result_TestName ORDER by counter DESC LIMIT 10";
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$paramscheck = "SELECT * FROM result_project LEFT JOIN reports ON result_project.idreports=reports.idreports
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WHERE reports.iduser='$iduserlog' AND result_project.result_AnalytsName = '$analytsname'
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ORDER BY reports.reportDateIn
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LIMIT 100;
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";
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$resultparamscheck = mysqli_query($predoc, $paramscheck) or die("Error in Selecting " . mysqli_error($predoc));
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// Print out result
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$dateparamcheck=array();
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$valueparamcheck=array();
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while($row = mysqli_fetch_array($resultparamscheck)) {
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$dateparamcheck[]=$row['reportDateIn'];
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$valueparamcheck[]=$row['result_Value'];
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}
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?>
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<?php
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// Assumi che $dateparamcheck e $valueparamcheck siano già popolati con i dati pertinenti
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// Converte le date in timestamp per la regressione
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$timestampcheck = array();
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foreach ($dateparamcheck as $date) {
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$timestampcheck[] = strtotime($date);
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}
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// Calcola la media dei valori (y) e dei timestamp (x)
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$mean_x = array_sum($timestampcheck) / count($timestampcheck);
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$mean_y = array_sum($valueparamcheck) / count($valueparamcheck);
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// Calcola la regressione lineare
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$numerator = 0;
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$denominator = 0;
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for ($i = 0; $i < count($timestampcheck); $i++) {
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$numerator += ($timestampcheck[$i] - $mean_x) * ($valueparamcheck[$i] - $mean_y);
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$denominator += ($timestampcheck[$i] - $mean_x) ** 2;
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}
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// Coefficienti della regressione lineare y = mx + b
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$m = $numerator / $denominator;
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$b = $mean_y - ($m * $mean_x);
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// Stampa i valori previsti per i prossimi 6 mesi
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$last_date_timestamp = end($timestampcheck);
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for ($j = 1; $j <= 6; $j++) {
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$next_month_timestamp = strtotime("+{$j} month", $last_date_timestamp);
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$predicted_value = $m * $next_month_timestamp + $b;
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}
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// Array per tenere traccia delle previsioni
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$predicted_dates = [];
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$predicted_values = [];
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$last_date_timestamp = end($timestampcheck);
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for ($j = 1; $j <= 6; $j++) {
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$next_month_timestamp = strtotime("+{$j} month", $last_date_timestamp);
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$predicted_value = $m * $next_month_timestamp + $b;
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// Formatta il valore previsto con lo stesso numero di decimali dei dati reali
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$formatted_predicted_value = number_format($predicted_value, 2);
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$predicted_dates[] = date('Y-m-d', $next_month_timestamp);
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$predicted_values[] = $formatted_predicted_value;
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}
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?>
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<?php
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// fecth limit
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// $worstanalysis = "select result_project.idAnalysis AS analysisid, result_TestName, name_analysis , COUNT(*) as counter from result_project LEFT JOIN reports ON result_project.idreports=reports.idreports LEFT JOIN analysis ON result_project.idAnalysis=analysis.idanalysis WHERE reports.idcompany='$idcompany' AND result_project.result_Rating='F' GROUP BY result_TestName ORDER by counter DESC LIMIT 10";
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$paramslim = "SELECT * FROM parameterslimit WHERE parameterslimit.nameparameters = '$analytsname' LIMIT 1;";
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$resultparamslim = mysqli_query($predoc, $paramslim) or die("Error in Selecting " . mysqli_error($predoc));
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$lowlim = null;
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$highlim = null;
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if ($row = mysqli_fetch_assoc($resultparamslim)) {
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$lowlim = floatval($row['lowvalue']);
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$highlim = floatval($row['highvalue']);
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}
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}
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?>
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