wip

ANNOTATE/web/templates/components/training_panel.html

@@ -100,6 +100,10 @@
                 <i class="fas fa-stop"></i>
                 Stop Inference
             </button>
+            <button class="btn btn-warning btn-sm w-100 mt-1" id="manual-train-btn" style="display: none;">
+                <i class="fas fa-hand-pointer"></i>
+                Train on Current Candle (Manual)
+            </button>
         </div>
 
         <!-- Backtest on Visible Chart -->
@@ -628,7 +632,7 @@
     });
 
     // Helper function to start inference with different modes
-    function startInference(enableLiveTraining, trainEveryCandle) {
+    function startInference(trainingMode) {
         const modelName = document.getElementById('model-select').value;
 
         if (!modelName) {
@@ -639,7 +643,7 @@
         // Get timeframe
         const timeframe = document.getElementById('primary-timeframe-select').value;
         
-        // Start real-time inference
+        // Start real-time inference with unified training_mode parameter
         fetch('/api/realtime-inference/start', {
             method: 'POST',
             headers: { 'Content-Type': 'application/json' },
@@ -647,8 +651,7 @@
                 model_name: modelName,
                 symbol: appState.currentSymbol,
                 timeframe: timeframe,
-                enable_live_training: enableLiveTraining,
-                train_every_candle: trainEveryCandle
+                training_mode: trainingMode  // 'none', 'every_candle', 'pivots_only', 'manual'
             })
         })
             .then(response => response.json())
@@ -664,6 +667,11 @@
                     document.getElementById('inference-status').style.display = 'block';
                     document.getElementById('inference-controls').style.display = 'block';
                     
+                    // Show manual training button if in manual mode
+                    if (trainingMode === 'manual') {
+                        document.getElementById('manual-train-btn').style.display = 'block';
+                    }
+                    
                     // Display active timeframe
                     document.getElementById('active-timeframe').textContent = timeframe.toUpperCase();
                     
@@ -708,15 +716,15 @@
     
     // Button handlers for different inference modes
     document.getElementById('start-inference-btn').addEventListener('click', function () {
-        startInference(false, false);  // No training
+        startInference('none');  // No training (inference only)
     });
     
     document.getElementById('start-inference-pivot-btn').addEventListener('click', function () {
-        startInference(true, false);  // Pivot-based training
+        startInference('pivots_only');  // Pivot-based training
     });
     
     document.getElementById('start-inference-candle-btn').addEventListener('click', function () {
-        startInference(false, true);  // Per-candle training
+        startInference('every_candle');  // Per-candle training
     });
 
     document.getElementById('stop-inference-btn').addEventListener('click', function () {
@@ -736,6 +744,7 @@
                     document.getElementById('start-inference-pivot-btn').style.display = 'block';
                     document.getElementById('start-inference-candle-btn').style.display = 'block';
                     document.getElementById('stop-inference-btn').style.display = 'none';
+                    document.getElementById('manual-train-btn').style.display = 'none';
                     document.getElementById('inference-status').style.display = 'none';
                     document.getElementById('inference-controls').style.display = 'none';
 
@@ -762,6 +771,42 @@
                 showError('Network error: ' + error.message);
             });
     });
+    
+    // Manual training button handler
+    document.getElementById('manual-train-btn').addEventListener('click', function () {
+        if (!currentInferenceId) {
+            showError('No active inference session');
+            return;
+        }
+        
+        // Get user's action choice (could add a dropdown, for now use BUY as example)
+        const action = prompt('Enter action (BUY, SELL, or HOLD):', 'BUY');
+        if (!action || !['BUY', 'SELL', 'HOLD'].includes(action.toUpperCase())) {
+            showError('Invalid action. Must be BUY, SELL, or HOLD');
+            return;
+        }
+        
+        // Trigger manual training
+        fetch('/api/realtime-inference/train-manual', {
+            method: 'POST',
+            headers: { 'Content-Type': 'application/json' },
+            body: JSON.stringify({
+                inference_id: currentInferenceId,
+                action: action.toUpperCase()
+            })
+        })
+            .then(response => response.json())
+            .then(data => {
+                if (data.success) {
+                    showSuccess(`Manual training completed: ${data.action} (${data.metrics ? 'Loss: ' + data.metrics.loss.toFixed(4) : ''})`);
+                } else {
+                    showError('Manual training failed: ' + (data.error || 'Unknown error'));
+                }
+            })
+            .catch(error => {
+                showError('Network error: ' + error.message);
+            });
+    });
 
     // Backtest controls
     let currentBacktestId = null;