Module:Indicator datasets table

Documentation for this module may be created at Module:Indicator datasets table/doc

local p = {}

function p.getDatasets(frame)
    local articleids = frame.args.articleids
	if not articleids or articleids == '' then
	    return {}
	end

    
    -- Entferne alle Kommas und Leerzeichen am Ende von articleids
    articleids = mw.ustring.gsub(articleids, '[,%s]*$', '')
    
    local ids = mw.text.split(articleids, ",")
    local datasets = {}
    local titleobject
    
    for _, id in ipairs(ids) do
        titleobject = mw.title.new(tonumber(id))
        local existspage = titleobject.exists
        
        if existspage then
            local content = titleobject:getContent()
            local dataset = mw.text.jsonDecode(content)
            -- Überprüfe, ob belongs to der aktuellen PageID entspricht
            if tonumber(dataset.schemas.Dataset['belongs to']) == mw.title.getCurrentTitle().id then
                table.insert(datasets, dataset)
            end
        else
            return "Error: Page not found for ID " .. id
        end
    end
    return datasets
end

function p.generateTable(frame)
    local datasets = p.getDatasets(frame)
    if not datasets or #datasets == 0 then
        return "No data" -- Keine Datensätze gefunden, gib leeren String zurück
    end
    
    -- Sortiere die Datensätze nach dem Datum
    table.sort(datasets, function(a, b) return a.schemas.Dataset['date'] < b.schemas.Dataset['date'] end)

    local html = mw.html.create()
    local tableNode = html:tag('table'):addClass('wikitable sortable')

    -- Erstelle die Tabelle mit Legenden aus dem ersten Datensatz
    local headerRow = tableNode:tag('tr')
    headerRow:tag('th'):wikitext('Class')
    headerRow:tag('th'):wikitext('Sub-class')
    for _, dataset in ipairs(datasets) do
        local formattedDate = p.formatDate(dataset.schemas.Dataset['date'])
        headerRow:tag('th'):wikitext(formattedDate):tag('div'):tag('small'):wikitext(mw.message.new('webmo-' .. dataset.schemas.Dataset['dataset type']):plain())
    end

    local columnSums = {}
    local columnCounts = {}
    -- Füge die Datenzeilen hinzu
    for _, classData in ipairs(datasets[1].schemas.Dataset.classes) do
        local class = classData['class name']
        for _, subClassData in ipairs(classData['sub-classes']) do
            local subClass = subClassData['sub-class name']
            local row = tableNode:tag('tr')
            row:tag('td'):wikitext(class)
            row:tag('td'):wikitext(subClass)
            for i, dataset in ipairs(datasets) do
                local value = {}
                for _, currentClassData in ipairs(dataset.schemas.Dataset.classes) do
                    if currentClassData['class name'] == class then
                        for _, currentSubClassData in ipairs(currentClassData['sub-classes']) do
                            if currentSubClassData['sub-class name'] == subClass then
                                value[i] = {}
                                for _, currentSubSubClassData in ipairs(currentSubClassData['sub-sub-classes']) do
                                    local val = tonumber(currentSubSubClassData.value) or 0
                                    table.insert(value[i], val)
                                end
                            end
                        end
                    end
                end
                row:tag('td'):wikitext(table.concat(value[i] or {}, ", "))
                
                -- Berechne Summen und Anzahlen für jede Spalte
                columnSums[i] = columnSums[i] or 0
                columnCounts[i] = columnCounts[i] or 0
                
                local dataType = datasets[i].schemas.Dataset.entry -- Typ des Datensatzes (number oder percent)
                if dataType == "number" then
                    -- Bei 'number' aggregiere die Werte
                    columnSums[i] = columnSums[i] + (value[i] and #value[i] > 0 and value[i][1] or 0)
                elseif dataType == "percent" then
                    -- Bei 'percent' aggregiere die Anzahl der Werte (für den Durchschnitt)
                    columnCounts[i] = columnCounts[i] + 1
                end
            end
        end
    end

    -- Füge die Totalzeile hinzu
    local totalRow = tableNode:tag('tr')
    totalRow:tag('td'):wikitext('Total')
    totalRow:tag('td'):wikitext('')
    for i, dataset in ipairs(datasets) do
        local totalValue
        local dataType = dataset.schemas.Dataset.entry -- Typ des Datensatzes (number oder percent)
        if columnCounts[i] and columnCounts[i] > 0 then
            if dataType == "number" then
                -- Bei 'number' berechne die Summe
                totalValue = columnSums[i]
            elseif dataType == "percent" then
                -- Bei 'percent' berechne den Durchschnitt
                totalValue = columnSums[i] / columnCounts[i]
            end
        else
            totalValue = 'N/A'
        end
        totalRow:tag('td'):wikitext(totalValue)
    end

    return tostring(html)
end


-- Funktion zur Formatierung des Datums gemäß den Nutzereinstellungen
function p.formatDate(date)
    return mw.language.getContentLanguage():formatDate(date)
end

return p