Removed Mode

metrics.py

@@ -9,7 +9,6 @@ import threading
 class InteractionMetric:
     """Single interaction metrics"""
     timestamp: str
-    mode: str
     query_length: int
     response_time: float
     input_tokens: int
@@ -62,7 +61,6 @@ class EduBotMetrics:
         return len(text) // 4
     
     def log_interaction(self, 
-                       mode: str,
                        query: str,
                        response: str,
                        timing_context: dict,
@@ -84,7 +82,6 @@ class EduBotMetrics:
         # Create metric record
         metric = InteractionMetric(
             timestamp=datetime.now().isoformat(),
-            mode=mode,
             query_length=len(query),
             response_time=response_time,
             input_tokens=input_tokens,
@@ -111,7 +108,6 @@ class EduBotMetrics:
                 data = [
                     {
                         'timestamp': m.timestamp,
-                        'mode': m.mode,
                         'query_length': m.query_length,
                         'response_time': m.response_time,
                         'input_tokens': m.input_tokens,
@@ -166,18 +162,8 @@ class EduBotMetrics:
             "avg_provider_latency": sum(provider_latencies) / len(provider_latencies),
             "avg_tokens": sum(token_counts) / len(token_counts),
             "avg_chunks": sum(chunk_counts) / len(chunk_counts),
-            "mode_distribution": self._get_mode_distribution()
         }
     
-    def _get_mode_distribution(self) -> dict:
-        """Get distribution of modes used"""
-        mode_counts = {}
-        for metric in self.metrics:
-            mode_counts[metric.mode] = mode_counts.get(metric.mode, 0) + 1
-        
-        total = len(self.metrics)
-        return {mode: (count / total) * 100 for mode, count in mode_counts.items()}
-    
     def export_csv(self, filename: str = None):
         """Export metrics to CSV format"""
         if filename is None:
@@ -188,7 +174,7 @@ class EduBotMetrics:
             
             with open(filename, 'w', newline='') as csvfile:
                 fieldnames = [
-                    'timestamp', 'mode', 'query_length', 'response_time',
+                    'timestamp', 'query_length', 'response_time',
                     'input_tokens', 'output_tokens', 'total_tokens',
                     'streaming_chunks', 'provider_latency', 'error_occurred'
                 ]
@@ -198,7 +184,6 @@ class EduBotMetrics:
                 for metric in self.metrics:
                     writer.writerow({
                         'timestamp': metric.timestamp,
-                        'mode': metric.mode,
                         'query_length': metric.query_length,
                         'response_time': metric.response_time,
                         'input_tokens': metric.input_tokens,