Update 18-09-2024 adding NAS

2024-09-18 11:14:23 +02:00
parent 28a074a7e7
commit 225d1f3531
32 changed files with 5968 additions and 520 deletions
@@ -0,0 +1,176 @@
+<?php include('../../Connections/repnew.php'); ?>
+<?php
+$conn = new mysqli($servername, $username, $password, $database);
+
+// Ottieni i filtri dal POST
+$startDate = isset($_POST['startDate']) ? $_POST['startDate'] : '';
+$endDate = isset($_POST['endDate']) ? $_POST['endDate'] : '';
+$supplierFilter = isset($_POST['supplier']) ? $_POST['supplier'] : '';
+
+// Creazione della condizione dei filtri di data e supplier
+$filters = "WHERE 1=1";
+if (!empty($startDate) && !empty($endDate)) {
+    $filters .= " AND r.reportsDateOut BETWEEN '$startDate' AND '$endDate'";
+}
+if (!empty($supplierFilter)) {
+    $filters .= " AND p.namesupplier = '$supplierFilter'";
+}
+
+// Statistic 1: Total number of products (filtered by supplier if necessary)
+$totalProductsQuery = "SELECT COUNT(DISTINCT p.idproducts) AS totalProducts FROM products p";
+if (!empty($supplierFilter)) {
+    $totalProductsQuery .= " WHERE p.namesupplier = '$supplierFilter'";
+}
+$totalProductsResult = $conn->query($totalProductsQuery);
+$totalProducts = $totalProductsResult->fetch_assoc()['totalProducts'];
+
+// Statistic 2: Total number of reports
+$totalReportsQuery = "
+    SELECT COUNT(DISTINCT r.idreports) AS totalReports 
+    FROM reports r 
+    LEFT JOIN products p ON r.idproducts = p.idproducts 
+    $filters
+";
+$totalReportsResult = $conn->query($totalReportsQuery);
+$totalReports = $totalReportsResult->fetch_assoc()['totalReports'];
+
+// Statistic 3: Number of 'fail' reports and percentage compared to total
+$failedReportsQuery = "
+    SELECT COUNT(DISTINCT r.idreports) AS failedReports 
+    FROM reports r 
+    LEFT JOIN products p ON r.idproducts = p.idproducts 
+    $filters AND UPPER(r.reportsRating) IN ('FAIL', 'F', 'DOESN\'T COMPLY')
+";
+$failedReportsResult = $conn->query($failedReportsQuery);
+$failedReports = $failedReportsResult->fetch_assoc()['failedReports'];
+$failedReportsPercent = ($totalReports > 0) ? ($failedReports / $totalReports) * 100 : 0;
+
+// Statistic 4: Total number of tests performed (distinct tests)
+$totalTestsQuery = "
+    SELECT COUNT(DISTINCT rp.idreports, rp.idPart, rp.result_TestName) AS totalTests 
+    FROM result_project rp 
+    LEFT JOIN reports r ON rp.idreports = r.idreports 
+    LEFT JOIN products p ON r.idproducts = p.idproducts 
+    $filters
+";
+$totalTestsResult = $conn->query($totalTestsQuery);
+$totalTests = $totalTestsResult->fetch_assoc()['totalTests'];
+
+// Statistic 5: Number of 'fail' tests and percentage (case-insensitive for rating fail)
+$failedTestsQuery = "
+    SELECT COUNT(DISTINCT rp.idreports, rp.idPart, rp.result_TestName) AS failedTests 
+    FROM result_project rp 
+    LEFT JOIN reports r ON rp.idreports = r.idreports 
+    LEFT JOIN products p ON r.idproducts = p.idproducts 
+    $filters AND UPPER(rp.result_Rating) IN ('FAIL', 'F', 'DOESN\'T COMPLY')
+";
+$failedTestsResult = $conn->query($failedTestsQuery);
+$failedTests = $failedTestsResult->fetch_assoc()['failedTests'];
+$failedTestsPercent = ($totalTests > 0) ? ($failedTests / $totalTests) * 100 : 0;
+
+// Pie Chart Data for Reports (Fail, Pass, Others)
+$failReportsPieQuery = "
+    SELECT COUNT(*) AS failReports 
+    FROM reports r 
+    LEFT JOIN products p ON r.idproducts = p.idproducts 
+    $filters AND UPPER(r.reportsRating) IN ('FAIL', 'F', 'DOESN\'T COMPLY')
+";
+$failReportsPieResult = $conn->query($failReportsPieQuery);
+$failReportsPie = $failReportsPieResult->fetch_assoc()['failReports'];
+
+$passReportsPieQuery = "
+    SELECT COUNT(*) AS passReports 
+    FROM reports r 
+    LEFT JOIN products p ON r.idproducts = p.idproducts 
+    $filters AND UPPER(r.reportsRating) IN ('PASS', 'P', 'COMPLIES')
+";
+$passReportsPieResult = $conn->query($passReportsPieQuery);
+$passReportsPie = $passReportsPieResult->fetch_assoc()['passReports'];
+
+$otherReportsPieQuery = "
+    SELECT COUNT(*) AS otherReports 
+    FROM reports r 
+    LEFT JOIN products p ON r.idproducts = p.idproducts 
+    $filters AND UPPER(r.reportsRating) NOT IN ('FAIL', 'F', 'DOESN\'T COMPLY', 'PASS', 'P', 'COMPLIES')
+";
+$otherReportsPieResult = $conn->query($otherReportsPieQuery);
+$otherReportsPie = $otherReportsPieResult->fetch_assoc()['otherReports'];
+
+// Query to get the top 10 analyses with the most 'Fail' results
+$topFailingAnalysisQuery = "
+    SELECT a.nameanalysisvoc AS analysisName, COUNT(DISTINCT rp.idreports, rp.idPart, rp.result_TestName) AS failCount 
+    FROM result_project rp 
+    LEFT JOIN reports r ON rp.idreports = r.idreports 
+    LEFT JOIN products p ON r.idproducts = p.idproducts 
+    LEFT JOIN analysisvocabulary a ON rp.result_TestName = a.idanalysisvocabulary 
+    $filters AND UPPER(rp.result_Rating) IN ('FAIL', 'F', 'DOESN\'T COMPLY') 
+    GROUP BY rp.result_TestName 
+    ORDER BY failCount DESC 
+    LIMIT 10
+";
+$topFailingAnalysisResult = $conn->query($topFailingAnalysisQuery);
+$topFailingAnalysis = [];
+while ($row = $topFailingAnalysisResult->fetch_assoc()) {
+    $analysisName = (strlen($row['analysisName']) > 80) ? substr($row['analysisName'], 0, 80) . '...' : $row['analysisName'];
+    $topFailingAnalysis[] = ['name' => $analysisName, 'failCount' => $row['failCount']];
+}
+
+// Statistic for worst suppliers based on % of failed reports
+$worstSuppliersQuery = "
+    SELECT p.namesupplier AS supplier, COUNT(r.idreports) AS totalReports, 
+    SUM(CASE WHEN UPPER(r.reportsRating) IN ('FAIL', 'F', 'DOESN\'T COMPLY') THEN 1 ELSE 0 END) AS failedReports, 
+    (SUM(CASE WHEN UPPER(r.reportsRating) IN ('FAIL', 'F', 'DOESN\'T COMPLY') THEN 1 ELSE 0 END) / COUNT(r.idreports)) * 100 AS failPercentage 
+    FROM reports r 
+    LEFT JOIN products p ON r.idproducts = p.idproducts 
+    $filters 
+    GROUP BY p.namesupplier 
+    ORDER BY failPercentage DESC 
+    LIMIT 10
+";
+$worstSuppliersResult = $conn->query($worstSuppliersQuery);
+$worstSuppliers = [];
+while ($row = $worstSuppliersResult->fetch_assoc()) {
+    $worstSuppliers[] = [
+        'supplier' => $row['supplier'],
+        'failPercentage' => round($row['failPercentage'], 2),
+        'totalReports' => $row['totalReports'],
+        'failedReports' => $row['failedReports']
+    ];
+}
+
+// Statistic for products by suppliers
+$productBySupplierQuery = "
+    SELECT p.namesupplier AS supplier, COUNT(p.idproducts) AS totalProducts 
+    FROM products p 
+    WHERE p.namesupplier IS NOT NULL 
+    GROUP BY p.namesupplier 
+    ORDER BY totalProducts DESC";
+$productBySupplierResult = $conn->query($productBySupplierQuery);
+$productBySupplier = [];
+while ($row = $productBySupplierResult->fetch_assoc()) {
+    $productBySupplier[] = [
+        'supplier' => $row['supplier'],
+        'totalProducts' => $row['totalProducts']
+    ];
+}
+
+// Ora controlliamo se è una richiesta AJAX
+if ($_SERVER['REQUEST_METHOD'] === 'POST') {
+    // Rispondi ai dati aggiornati tramite AJAX
+    echo json_encode([
+        'totalProducts' => $totalProducts,
+        'totalReports' => $totalReports,
+        'failedReports' => $failedReports,
+        'failedReportsPercent' => $failedReportsPercent,
+        'totalTests' => $totalTests,
+        'failedTests' => $failedTests,
+        'failedTestsPercent' => $failedTestsPercent,
+        'failReportsPie' => $failReportsPie,
+        'passReportsPie' => $passReportsPie,
+        'otherReportsPie' => $otherReportsPie,
+        'topFailingAnalysis' => $topFailingAnalysis,
+        'worstSuppliers' => $worstSuppliers,
+        'productBySupplier' => $productBySupplier
+    ]);
+    exit; // Ferma l'esecuzione del resto dello script dopo aver risposto all'AJAX
+}