primo upload

2024-03-16 20:37:32 +01:00
commit e43b9b4b28
3019 changed files with 406000 additions and 0 deletions
@@ -0,0 +1,101 @@
+
+
+<?php
+if(isset($analytsname)) {
+// fecth trend
+
+ // $worstanalysis = "select result_project.idAnalysis AS analysisid, result_TestName, name_analysis , COUNT(*) as counter from result_project LEFT JOIN reports ON result_project.idreports=reports.idreports LEFT JOIN analysis ON result_project.idAnalysis=analysis.idanalysis WHERE reports.idcompany='$idcompany' AND result_project.result_Rating='F' GROUP BY result_TestName ORDER by counter DESC LIMIT 10";
+
+
+    $paramscheck = "SELECT * FROM result_project LEFT JOIN reports ON result_project.idreports=reports.idreports
+WHERE reports.iduser='$iduserlog' AND result_project.result_AnalytsName = '$analytsname' 
+ORDER BY reports.reportDateIn
+LIMIT 100;
+";
+
+    $resultparamscheck = mysqli_query($predoc, $paramscheck) or die("Error in Selecting " . mysqli_error($predoc));
+
+
+// Print out result
+$dateparamcheck=array();
+$valueparamcheck=array();
+while($row = mysqli_fetch_array($resultparamscheck)) {  
+    $dateparamcheck[]=$row['reportDateIn'];
+    $valueparamcheck[]=$row['result_Value'];
+
+}
+
+
+?>
+<?php
+
+// Assumi che $dateparamcheck e $valueparamcheck siano già popolati con i dati pertinenti
+
+// Converte le date in timestamp per la regressione
+$timestampcheck = array();
+foreach ($dateparamcheck as $date) {
+    $timestampcheck[] = strtotime($date);
+}
+
+// Calcola la media dei valori (y) e dei timestamp (x)
+$mean_x = array_sum($timestampcheck) / count($timestampcheck);
+$mean_y = array_sum($valueparamcheck) / count($valueparamcheck);
+
+// Calcola la regressione lineare
+$numerator = 0;
+$denominator = 0;
+for ($i = 0; $i < count($timestampcheck); $i++) {
+    $numerator += ($timestampcheck[$i] - $mean_x) * ($valueparamcheck[$i] - $mean_y);
+    $denominator += ($timestampcheck[$i] - $mean_x) ** 2;
+}
+
+// Coefficienti della regressione lineare y = mx + b
+$m = $numerator / $denominator;
+$b = $mean_y - ($m * $mean_x);
+
+// Stampa i valori previsti per i prossimi 6 mesi
+$last_date_timestamp = end($timestampcheck);
+for ($j = 1; $j <= 6; $j++) {
+    $next_month_timestamp = strtotime("+{$j} month", $last_date_timestamp);
+    $predicted_value = $m * $next_month_timestamp + $b;
+  
+}
+
+
+// Array per tenere traccia delle previsioni
+$predicted_dates = [];
+$predicted_values = [];
+
+$last_date_timestamp = end($timestampcheck);
+for ($j = 1; $j <= 6; $j++) {
+    $next_month_timestamp = strtotime("+{$j} month", $last_date_timestamp);
+    $predicted_value = $m * $next_month_timestamp + $b;
+    
+      // Formatta il valore previsto con lo stesso numero di decimali dei dati reali
+    $formatted_predicted_value = number_format($predicted_value, 2);
+    
+    $predicted_dates[] = date('Y-m-d', $next_month_timestamp);
+    $predicted_values[] = $formatted_predicted_value;
+	   
+}
+
+
+?>
+<?php
+// fecth limit
+
+ // $worstanalysis = "select result_project.idAnalysis AS analysisid, result_TestName, name_analysis , COUNT(*) as counter from result_project LEFT JOIN reports ON result_project.idreports=reports.idreports LEFT JOIN analysis ON result_project.idAnalysis=analysis.idanalysis WHERE reports.idcompany='$idcompany' AND result_project.result_Rating='F' GROUP BY result_TestName ORDER by counter DESC LIMIT 10";
+  
+$paramslim = "SELECT * FROM parameterslimit WHERE parameterslimit.nameparameters = '$analytsname' LIMIT 1;";
+$resultparamslim = mysqli_query($predoc, $paramslim) or die("Error in Selecting " . mysqli_error($predoc));
+
+$lowlim = null;
+$highlim = null;
+if ($row = mysqli_fetch_assoc($resultparamslim)) {
+    $lowlim = floatval($row['lowvalue']);
+$highlim = floatval($row['highvalue']);
+
+}
+
+}
+?>