add distinct devices

analytics.py

@@ -155,20 +155,49 @@ def dashboard():
         cursor = log_db.execute(query, params_for_filter)
         rows = cursor.fetchall()
 
-    # 2. Daily access trend (line chart)
+    # 2. Distinct device trend
-    #    We'll group by day using substr(timestamp, 1, 10) -> YYYY-MM-DD
+    #    We'll group by hour if "today", by day if "7days"/"30days", by month if "365days"
+    if timeframe == 'today':
+        # Group by hour: substr(timestamp, 12, 2) -> HH
         query = f'''
-        SELECT substr(timestamp, 1, 10) AS date, COUNT(*) AS count
+            SELECT substr(timestamp, 12, 2) AS bucket, COUNT(DISTINCT device_id) AS count
             FROM file_access_log
             WHERE timestamp >= ? {filetype_filter_sql}
-        GROUP BY date
+            GROUP BY bucket
-        ORDER BY date
+            ORDER BY bucket
+        '''
+    elif timeframe in ('7days', '30days'):
+        # Group by day: substr(timestamp, 1, 10) -> YYYY-MM-DD
+        query = f'''
+            SELECT substr(timestamp, 1, 10) AS bucket, COUNT(DISTINCT device_id) AS count
+            FROM file_access_log
+            WHERE timestamp >= ? {filetype_filter_sql}
+            GROUP BY bucket
+            ORDER BY bucket
+        '''
+    elif timeframe == '365days':
+        # Group by month: substr(timestamp, 1, 7) -> YYYY-MM
+        query = f'''
+            SELECT substr(timestamp, 1, 7) AS bucket, COUNT(DISTINCT device_id) AS count
+            FROM file_access_log
+            WHERE timestamp >= ? {filetype_filter_sql}
+            GROUP BY bucket
+            ORDER BY bucket
+        '''
+    else:
+        # Default: group by day
+        query = f'''
+            SELECT substr(timestamp, 1, 10) AS bucket, COUNT(DISTINCT device_id) AS count
+            FROM file_access_log
+            WHERE timestamp >= ? {filetype_filter_sql}
+            GROUP BY bucket
+            ORDER BY bucket
         '''
     with log_db:
         cursor = log_db.execute(query, params_for_filter)
-        daily_rows = cursor.fetchall()
+        distinct_device_data_rows = cursor.fetchall()
-    daily_access_data = [
+    distinct_device_data = [
-        dict(date=r[0], count=r[1]) for r in daily_rows
+        dict(bucket=r[0], count=r[1]) for r in distinct_device_data_rows
     ]
 
     # 3. Timeframe-based aggregation
@@ -322,7 +351,7 @@ def dashboard():
         "dashboard.html",
         timeframe=timeframe,
         rows=rows,
-        daily_access_data=daily_access_data,
+        distinct_device_data=distinct_device_data,
         user_agent_data=user_agent_data,
         folder_data=folder_data,
         location_data=location_data,

templates/dashboard.html

@@ -70,8 +70,8 @@
       <div class="col-md-6 mb-4">
         <div class="card">
           <div class="card-body">
-            <h5 class="card-title">Downloads</h5>
+            <h5 class="card-title">eindeutige Nutzer nach Zeit</h5>
-            <canvas id="accessTrendChart"></canvas>
+            <canvas id="distinctDeviceChart"></canvas>
           </div>
         </div>
       </div>
@@ -80,7 +80,7 @@
         <div class="card">
           <div class="card-body">
             <h5 class="card-title">Downloads nach Zeit</h5>
-            <canvas id="timeframeChart"></canvas>
+            <canvas id="downloadTimeframeChart"></canvas>
           </div>
         </div>
       </div>
@@ -170,7 +170,7 @@
   <script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
   <script>
     // Data passed from the backend as JSON
-    const dailyAccessData = {{ daily_access_data|tojson }};
+    const distinctDeviceData = {{ distinct_device_data|tojson }};
     // Replace topFilesData usage with timeframeData for this chart
     const timeframeData = {{ timeframe_data|tojson }};
     const userAgentData = {{ user_agent_data|tojson }};
@@ -206,31 +206,36 @@
       }
     });
     
-    // Access Trend Chart - Line Chart
+    // Distinct Device Chart
-    const ctxTrend = document.getElementById('accessTrendChart').getContext('2d');
+    const ctxDistinctDevice = document.getElementById('distinctDeviceChart').getContext('2d');
-    new Chart(ctxTrend, {
+    new Chart(ctxDistinctDevice, {
-      type: 'line',
+      type: 'bar',
       data: {
-        labels: dailyAccessData.map(item => item.date),
+        labels: shiftedLabels,
         datasets: [{
-          label: 'Download Count',
+          label: 'Device Count',
-          data: dailyAccessData.map(item => item.count),
+          data: distinctDeviceData.map(item => item.count),
-          borderWidth: 2,
+          borderWidth: 2
-          fill: true
         }]
       },
       options: {
         responsive: true,
-        plugins: { legend: { position: 'top' } },
+        plugins: { legend: { display: false } },
         scales: {
-          x: { title: { display: true, text: 'Datum' } },
+          x: { title: { display: true, text: 'Time Range' } },
-          y: { title: { display: true, text: 'Download Count' } }
+          y: { 
+            title: { display: true, text: 'Device Count' },
+            beginAtZero: true,
+            ticks: {
+              stepSize: 1
+            }
+          }
         }
       }
     });
 
     // Timeframe Breakdown Chart - Bar Chart (for "today" timeframe)
-    const ctxTimeframe = document.getElementById('timeframeChart').getContext('2d');
+    const ctxTimeframe = document.getElementById('downloadTimeframeChart').getContext('2d');
     new Chart(ctxTimeframe, {
       type: 'bar',
       data: {
@@ -238,15 +243,21 @@
         datasets: [{
           label: 'Download Count',
           data: timeframeData.map(item => item.count),
-          borderWidth: 1
+          borderWidth: 2
         }]
       },
       options: {
         responsive: true,
         plugins: { legend: { display: false } },
         scales: {
-          x: { title: { display: true, text: 'Local Time Range' } },
+          x: { title: { display: true, text: 'Time Range' } },
-          y: { title: { display: true, text: 'Download Count' } }
+          y: { 
+            title: { display: true, text: 'Download Count' },
+            beginAtZero: true,
+            ticks: {
+              stepSize: 1
+            }
+          }
         }
       }
     });