Enhance action logging in simulation scripts

- Added logging for the start and end of round 0 in both Twitter and Reddit simulations, improving traceability of initial events.
- Updated the logging mechanism to record round end even when no active agents are present, ensuring comprehensive action tracking.
- Introduced initial action count tracking to provide insights into the number of actions taken during the initial phase of simulations.

backend/scripts/run_parallel_simulation.py

@@ -469,6 +469,11 @@ async def run_twitter_simulation(
     event_config = config.get("event_config", {})
     initial_posts = event_config.get("initial_posts", [])
     
+    # 记录 round 0 开始（初始事件阶段）
+    if action_logger:
+        action_logger.log_round_start(0, 0)  # round 0, simulated_hour 0
+    
+    initial_action_count = 0
     if initial_posts:
         initial_actions = {}
         for post in initial_posts:
@@ -490,6 +495,7 @@ async def run_twitter_simulation(
                         action_args={"content": content[:100] + "..." if len(content) > 100 else content}
                     )
                     total_actions += 1
+                    initial_action_count += 1
             except Exception:
                 pass
         
@@ -497,6 +503,10 @@ async def run_twitter_simulation(
             await env.step(initial_actions)
             log_info(f"已发布 {len(initial_actions)} 条初始帖子")
     
+    # 记录 round 0 结束
+    if action_logger:
+        action_logger.log_round_end(0, initial_action_count)
+    
     # 主模拟循环
     time_config = config.get("time_config", {})
     total_hours = time_config.get("total_simulation_hours", 72)
@@ -521,12 +531,16 @@ async def run_twitter_simulation(
             env, config, simulated_hour, round_num
         )
         
-        if not active_agents:
-            continue
-        
+        # 无论是否有活跃agent，都记录round开始
         if action_logger:
             action_logger.log_round_start(round_num + 1, simulated_hour)
         
+        if not active_agents:
+            # 没有活跃agent时也记录round结束（actions_count=0）
+            if action_logger:
+                action_logger.log_round_end(round_num + 1, 0)
+            continue
+        
         actions = {agent: LLMAction() for _, agent in active_agents}
         await env.step(actions)
         
@@ -632,6 +646,11 @@ async def run_reddit_simulation(
     event_config = config.get("event_config", {})
     initial_posts = event_config.get("initial_posts", [])
     
+    # 记录 round 0 开始（初始事件阶段）
+    if action_logger:
+        action_logger.log_round_start(0, 0)  # round 0, simulated_hour 0
+    
+    initial_action_count = 0
     if initial_posts:
         initial_actions = {}
         for post in initial_posts:
@@ -661,6 +680,7 @@ async def run_reddit_simulation(
                         action_args={"content": content[:100] + "..." if len(content) > 100 else content}
                     )
                     total_actions += 1
+                    initial_action_count += 1
             except Exception:
                 pass
         
@@ -668,6 +688,10 @@ async def run_reddit_simulation(
             await env.step(initial_actions)
             log_info(f"已发布 {len(initial_actions)} 条初始帖子")
     
+    # 记录 round 0 结束
+    if action_logger:
+        action_logger.log_round_end(0, initial_action_count)
+    
     # 主模拟循环
     time_config = config.get("time_config", {})
     total_hours = time_config.get("total_simulation_hours", 72)
@@ -692,12 +716,16 @@ async def run_reddit_simulation(
             env, config, simulated_hour, round_num
         )
         
-        if not active_agents:
-            continue
-        
+        # 无论是否有活跃agent，都记录round开始
         if action_logger:
             action_logger.log_round_start(round_num + 1, simulated_hour)
         
+        if not active_agents:
+            # 没有活跃agent时也记录round结束（actions_count=0）
+            if action_logger:
+                action_logger.log_round_end(round_num + 1, 0)
+            continue
+        
         actions = {agent: LLMAction() for _, agent in active_agents}
         await env.step(actions)