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Update interest_monitor_gui.py

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SengokuCola
2025-04-23 23:21:30 +08:00
parent d7b783b27c
commit 5f830aff86
1 changed files with 62 additions and 36 deletions
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98
interest_monitor_gui.py
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@@ -128,53 +128,79 @@ class InterestMonitorApp:
read_count += 1 read_count += 1
try: try:
log_entry = json.loads(line.strip()) log_entry = json.loads(line.strip())
timestamp = log_entry.get("timestamp") timestamp = log_entry.get("timestamp") # 获取顶层时间戳
# *** Add time filtering *** # *** 时间过滤 ***
if timestamp is None or float(timestamp) < time_threshold: if timestamp is None:
continue # Skip old or invalid entries
stream_id = log_entry.get("stream_id")
interest_level = log_entry.get("interest_level")
group_name = log_entry.get(
"group_name", stream_id
) # *** Get group_name, fallback to stream_id ***
reply_probability = log_entry.get("reply_probability") # <--- 获取概率值
# *** Check other required fields AFTER time filtering ***
if stream_id is None or interest_level is None:
error_count += 1 error_count += 1
continue # 跳过无效行 continue # 跳过没有时间戳的行
try:
entry_timestamp = float(timestamp)
if entry_timestamp < time_threshold:
continue # 跳过时间过早的条目
except (ValueError, TypeError):
error_count += 1
continue # 跳过时间戳格式错误的行
# 如果是第一次读到这个 stream_id，则创建 deque
if stream_id not in new_stream_history:
new_stream_history[stream_id] = deque(maxlen=MAX_HISTORY_POINTS)
new_probability_history[stream_id] = deque(maxlen=MAX_HISTORY_POINTS) # <--- 创建概率 deque
# 检查是否已有颜色，没有则分配
if stream_id not in self.stream_colors:
self.stream_colors[stream_id] = self.get_random_color()
# *** Store the latest display name found for this stream_id *** # --- 修改开始：迭代 subflows ---
new_stream_display_names[stream_id] = group_name subflows = log_entry.get("subflows")
if not isinstance(subflows, list): # 检查 subflows 是否存在且为列表
error_count += 1
continue # 跳过没有 subflows 或格式无效的行
# 添加数据点 for subflow_entry in subflows:
new_stream_history[stream_id].append((float(timestamp), float(interest_level))) stream_id = subflow_entry.get("stream_id")
# 添加概率数据点 (如果存在) interest_level = subflow_entry.get("interest_level")
if reply_probability is not None: # 获取 group_name，如果不存在则回退到 stream_id
group_name = subflow_entry.get("group_name", stream_id)
reply_probability = subflow_entry.get("reply_probability") # 获取概率值
# *** 检查必要的字段 ***
# 注意：时间戳已在顶层检查过
if stream_id is None or interest_level is None:
# 这里可以选择记录子流错误，但暂时跳过
continue # 跳过无效的 subflow 条目
# 确保 interest_level 可以转换为浮点数
try: try:
new_probability_history[stream_id].append((float(timestamp), float(reply_probability))) interest_level_float = float(interest_level)
except (TypeError, ValueError): except (ValueError, TypeError):
# 如果概率值无效，可以跳过或记录一个默认值，这里跳过 continue # 跳过 interest_level 无效的 subflow
pass
# 如果是第一次读到这个 stream_id，则创建 deque
if stream_id not in new_stream_history:
new_stream_history[stream_id] = deque(maxlen=MAX_HISTORY_POINTS)
new_probability_history[stream_id] = deque(maxlen=MAX_HISTORY_POINTS) # 创建概率 deque
# 检查是否已有颜色，没有则分配
if stream_id not in self.stream_colors:
self.stream_colors[stream_id] = self.get_random_color()
# *** 存储此 stream_id 最新的显示名称 ***
new_stream_display_names[stream_id] = group_name
# 添加数据点 (使用顶层时间戳)
new_stream_history[stream_id].append((entry_timestamp, interest_level_float))
# 添加概率数据点 (如果存在且有效)
if reply_probability is not None:
try:
# 尝试将概率转换为浮点数
probability_float = float(reply_probability)
new_probability_history[stream_id].append((entry_timestamp, probability_float))
except (TypeError, ValueError):
# 如果概率值无效，可以跳过或记录一个默认值，这里跳过
pass
# --- 修改结束 ---
except json.JSONDecodeError: except json.JSONDecodeError:
error_count += 1 error_count += 1
# logger.warning(f"Skipping invalid JSON line: {line.strip()}") # logger.warning(f"Skipping invalid JSON line: {line.strip()}")
continue # 跳过无法解析的行 continue # 跳过无法解析的行
except (TypeError, ValueError): # except (TypeError, ValueError) as e: # 这个外层 catch 可能不再需要，因为类型错误在内部处理了
error_count += 1 # error_count += 1
# logger.warning(f"Skipping line due to data type error ({e}): {line.strip()}") # # logger.warning(f"Skipping line due to data type error ({e}): {line.strip()}")
continue # 跳过数据类型错误的行 # continue # 跳过数据类型错误的行
# 读取完成后，用新数据替换旧数据 # 读取完成后，用新数据替换旧数据
self.stream_history = new_stream_history self.stream_history = new_stream_history