Enhance transaction retrieval in data.js by adding additional fields from the UmsatzBeleg table and implementing a separate query for links data. Update transaction mapping to include new document data and filter links based on transaction IDs.

src/routes/data.js

@@ -126,12 +126,16 @@ router.get('/transactions/:timeRange', authenticateToken, async (req, res) => {
         bat.assigned_kreditor_id,
         ak.name as assigned_kreditor_name,
         0 as isJTLOnly,
-        1 as isFromCSV
+        1 as isFromCSV,
+        ub.textContent as jtl_document_data,
+        ub.kUmsatzBeleg,
+        ub.datevlink
       FROM fibdash.CSVTransactions csv
       LEFT JOIN eazybusiness.dbo.tZahlungsabgleichUmsatz jtl ON (
         ABS(csv.numeric_amount - jtl.fBetrag) < 0.01 AND
         ABS(DATEDIFF(day, csv.parsed_date, jtl.dBuchungsdatum)) <= 1
       )
+      LEFT JOIN eazybusiness.dbo.tUmsatzBeleg ub ON ub.kZahlungsabgleichUmsatz = jtl.kZahlungsabgleichUmsatz
       LEFT JOIN fibdash.Kreditor k ON csv.kontonummer_iban = k.iban
       LEFT JOIN fibdash.BankingAccountTransactions bat ON csv.id = bat.csv_transaction_id
       LEFT JOIN fibdash.Kreditor ak ON bat.assigned_kreditor_id = ak.id
@@ -159,8 +163,12 @@ router.get('/transactions/:timeRange', authenticateToken, async (req, res) => {
         NULL as assigned_kreditor_id,
         NULL as assigned_kreditor_name,
         1 as isJTLOnly,
-        0 as isFromCSV
+        0 as isFromCSV,
+        ub.textContent as jtl_document_data,
+        ub.kUmsatzBeleg,
+        ub.datevlink
       FROM eazybusiness.dbo.tZahlungsabgleichUmsatz jtl
+      LEFT JOIN eazybusiness.dbo.tUmsatzBeleg ub ON ub.kZahlungsabgleichUmsatz = jtl.kZahlungsabgleichUmsatz
       WHERE NOT EXISTS (
         SELECT 1 FROM fibdash.CSVTransactions csv 
         WHERE ABS(csv.numeric_amount - jtl.fBetrag) < 0.01 
@@ -171,6 +179,25 @@ router.get('/transactions/:timeRange', authenticateToken, async (req, res) => {
     `;
     
     const result = await executeQuery(query);
+    
+    // Get links data separately to avoid duplicate rows
+    const linksQuery = `
+      SELECT 
+        zul.kZahlungsabgleichUmsatz,
+        zul.linktarget,
+        zul.linktype,
+        zul.note,
+        po.kPdfObjekt,
+        po.textContent,
+        po.markDown,
+        po.extraction
+      FROM eazybusiness.dbo.tZahlungsabgleichUmsatzLink zul
+      LEFT JOIN eazybusiness.dbo.tPdfObjekt po ON zul.linktarget = po.kLieferantenbestellung
+      WHERE zul.linktype = 'kLieferantenBestellung'
+    `;
+    const linksResult = await executeQuery(linksQuery);
+    const linksData = linksResult.recordset || [];
+    
     const transactions = result.recordset.map(transaction => ({
       ...transaction,
       parsedDate: new Date(transaction.parsed_date),
@@ -187,8 +214,14 @@ router.get('/transactions/:timeRange', authenticateToken, async (req, res) => {
         name: transaction.assigned_kreditor_name,
         id: transaction.assigned_kreditor_id
       } : null,
-      pdfs: [],
+      pdfs: transaction.jtl_document_data ? [{
-      links: []
+        content: transaction.jtl_document_data,
+        kUmsatzBeleg: transaction.kUmsatzBeleg,
+        datevlink: transaction.datevlink
+      }] : [],
+      links: transaction.jtlId ? linksData.filter(link => 
+        link.kZahlungsabgleichUmsatz === transaction.jtlId
+      ) : []
     }));
     
     let filteredTransactions = [];