translations

entity/Turnover_entity/recordcontainers/jdito/contentProcess.js

-import("system.logging");
-import("system.datetime");
-import("system.db");
-import("system.result");
-import("system.translate");
-import("Data_lib");
-
-// load data
-var sumOfMonthTurnover = db.table("select year(SALESORDERDATE) yearNum, 'turnover', month(SALESORDERDATE) monthNum, sum(NET + VAT) from SALESORDER group by year(SALESORDERDATE), month(SALESORDERDATE) order by yearNum, monthNum");
-var sumOfMonthForecast = db.table("select year(DATE_START) yearNum, 'forecast', month(DATE_START) monthNum, sum(VOLUME * 1000) from SALESPROJECT_FORECAST group by year(DATE_START), month(DATE_START) order by yearNum, monthNum");
-
-// build chartData
-var rootNode = "";
-var chartData = ParentingData.begin(rootNode);
-
-var skippedCounts = {};
-
-    
-for (let i = 0; i < 4; i++)
-{
-    // TODO: currently years are hardcoded.
-    var year = i + 2016;
-    
-    var turnoverYearSum = 0;
-    var forecastYearSum = 0;
-    
-    // filter data by current year
-    var turnoverYearData = sumOfMonthTurnover.filter(function(row)
-    {
-        return row[0] == year
-    });
-    
-    var forecastYearData = sumOfMonthForecast.filter(function(row)
-    {
-        return row[0] == year
-    });
-    
-    for (let i = 1; i <= 12; i++) 
-    { 
-        // add months
-        turnoverYearSum += _addMonth(year, i, turnoverYearData, "turnover");
-        forecastYearSum += _addMonth(year, i, forecastYearData, "forecast");
-    }
-    
-    // add year nodes
-    chartData.add("turnover" + year, rootNode, ["turnover", year.toString(), turnoverYearSum]);
-    chartData.add("forecast" + year, rootNode, ["forecast", year.toString(), forecastYearSum]);
-
-}
-
-result.object(chartData.toArray());
-
-function _addMonth(pYear, pMonth, pData, pCategory)
-{
-    var yearSum = 0;
-
-    // count months, which didn't exist in data source.
-    if (pMonth == 1)
-    {
-        skippedCounts[pCategory] = 0;
-    }
-
-
-    var currentMonthData = pData[pMonth - skippedCounts[pCategory] - 1];
-    var monthDate = new Date(pYear, pMonth-1);
-    monthDate = datetime.toDate(monthDate.getTime(), "MMM yyyy", "UTC");
-
-    var monthValue = 0.0;
-    if (currentMonthData != undefined && currentMonthData[2] == pMonth.toString()) 
-    {
-        monthValue = currentMonthData[3];
-        yearSum += parseInt(currentMonthData[3]);
-    }
-    else
-    {
-        // if month didn't exist in data source, use 0.0 as value.
-        skippedCounts[pCategory]++;
-    }
-
-    // add month node
-    chartData.add(pCategory + pYear + pMonth, pCategory + pYear, [pCategory, monthDate, monthValue]);
-    return yearSum;
+import("system.logging");
+import("system.datetime");
+import("system.db");
+import("system.result");
+import("system.translate");
+import("Data_lib");
+
+
+var turnoverCategory = translate.text('Turnover');
+var forecastCategory = translate.text('Forecast');
+    
+// load data
+var sumOfMonthTurnover = db.table("select year(SALESORDERDATE) yearNum, month(SALESORDERDATE) monthNum, sum(NET + VAT) from SALESORDER group by year(SALESORDERDATE), month(SALESORDERDATE) order by yearNum, monthNum");
+var sumOfMonthForecast = db.table("select year(DATE_START) yearNum, month(DATE_START) monthNum, sum(VOLUME * 1000) from SALESPROJECT_FORECAST group by year(DATE_START), month(DATE_START) order by yearNum, monthNum");
+
+// build chartData
+var rootNode = "";
+var chartData = ParentingData.begin(rootNode);
+
+var skippedCounts = {};
+
+    
+for (let i = 0; i < 4; i++)
+{
+    // TODO: currently years are hardcoded.
+    var year = i + 2016;
+    
+    var TurnoverYearSum = 0;
+    var ForecastYearSum = 0;
+    
+    // filter data by current year
+    var TurnoverYearData = sumOfMonthTurnover.filter(function(row)
+    {
+        return row[0] == year
+    });
+    
+    var ForecastYearData = sumOfMonthForecast.filter(function(row)
+    {
+        return row[0] == year
+    });
+    
+    for (let i = 1; i <= 12; i++) 
+    { 
+        // add months
+        TurnoverYearSum += _addMonth(year, i, TurnoverYearData, turnoverCategory);
+        ForecastYearSum += _addMonth(year, i, ForecastYearData, forecastCategory);
+    }
+    
+    // add year nodes
+    chartData.add(turnoverCategory + year, rootNode, [turnoverCategory, year.toString(), TurnoverYearSum]);
+    chartData.add(forecastCategory + year, rootNode, [forecastCategory, year.toString(), ForecastYearSum]);
+
+}
+
+result.object(chartData.toArray());
+
+function _addMonth(pYear, pMonth, pData, pCategory)
+{
+    var yearSum = 0;
+
+    // count months, which didn't exist in data source.
+    if (pMonth == 1)
+    {
+        skippedCounts[pCategory] = 0;
+    }
+
+
+    var currentMonthData = pData[pMonth - skippedCounts[pCategory] - 1];
+    var monthDate = new Date(pYear, pMonth-1);
+    monthDate = datetime.toDate(monthDate.getTime(), "MMM yyyy", "UTC");
+
+    var monthValue = 0.0;
+    if (currentMonthData != undefined && currentMonthData[1] == pMonth.toString()) 
+    {
+        monthValue = currentMonthData[2];
+        yearSum += parseInt(currentMonthData[2]);
+    }
+    else
+    {
+        // if month didn't exist in data source, use 0.0 as value.
+        skippedCounts[pCategory]++;
+    }
+
+    // add month node
+    chartData.add(pCategory + pYear + pMonth, pCategory + pYear, [pCategory, monthDate, monthValue]);
+    return yearSum;
 }
\ No newline at end of file

language/_____LANGUAGE_de/_____LANGUAGE_de.aod

@@ -102,6 +102,10 @@
       <key>Online-Meeting</key>
       <value>Online-Meeting</value>
     </entry>
+    <entry>
+      <key>Choose address</key>
+      <value>Adresse auswählen</value>
+    </entry>
     <entry>
       <key>Social Media</key>
       <value>Social Media</value>