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style: 格式化代码，修复不一致的空格和注释，更新ruff action

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春河晴
2025-04-16 16:16:37 +09:00
parent abc4c812c5
commit a8d48fc6cf
10 changed files with 98 additions and 102 deletions
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61
src/plugins/chat/utils.py
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@@ -643,11 +643,11 @@ def count_messages_between(start_time: float, end_time: float, stream_id: str) -
def translate_timestamp_to_human_readable(timestamp: float, mode: str = "normal") -> str:
"""将时间戳转换为人类可读的时间格式
Args:
timestamp: 时间戳
mode: 转换模式，"normal"为标准格式，"relative"为相对时间格式
Returns:
str: 格式化后的时间字符串
"""
@@ -656,7 +656,7 @@ def translate_timestamp_to_human_readable(timestamp: float, mode: str = "normal"
elif mode == "relative":
now = time.time()
diff = now - timestamp
if diff < 20:
return "刚刚:"
elif diff < 60:
@@ -671,33 +671,34 @@ def translate_timestamp_to_human_readable(timestamp: float, mode: str = "normal"
return f"{int(diff / 86400)}天前:\n"
else:
return time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(timestamp)) + ":"
def parse_text_timestamps(text: str, mode: str = "normal") -> str:
"""解析文本中的时间戳并转换为可读时间格式
Args:
text: 包含时间戳的文本，时间戳应以[]包裹
mode: 转换模式，传递给translate_timestamp_to_human_readable，"normal"或"relative"
Returns:
str: 替换后的文本
转换规则:
- normal模式: 将文本中所有时间戳转换为可读格式
- lite模式:
- lite模式:
- 第一个和最后一个时间戳必须转换
- 以5秒为间隔划分时间段，每段最多转换一个时间戳
- 不转换的时间戳替换为空字符串
"""
# 匹配[数字]或[数字.数字]格式的时间戳
pattern = r'\[(\d+(?:\.\d+)?)\]'
pattern = r"\[(\d+(?:\.\d+)?)\]"
# 找出所有匹配的时间戳
matches = list(re.finditer(pattern, text))
if not matches:
return text
# normal模式: 直接转换所有时间戳
if mode == "normal":
result_text = text
@@ -711,63 +712,63 @@ def parse_text_timestamps(text: str, mode: str = "normal") -> str:
else:
# lite模式: 按5秒间隔划分并选择性转换
result_text = text
# 提取所有时间戳及其位置
timestamps = [(float(m.group(1)), m) for m in matches]
timestamps.sort(key=lambda x: x[0]) # 按时间戳升序排序
if not timestamps:
return text
# 获取第一个和最后一个时间戳
first_timestamp, first_match = timestamps[0]
last_timestamp, last_match = timestamps[-1]
# 将时间范围划分成5秒间隔的时间段
time_segments = {}
# 对所有时间戳按15秒间隔分组
for ts, match in timestamps:
segment_key = int(ts // 15) # 将时间戳除以15取整，作为时间段的键
if segment_key not in time_segments:
time_segments[segment_key] = []
time_segments[segment_key].append((ts, match))
# 记录需要转换的时间戳
to_convert = []
# 从每个时间段中选择一个时间戳进行转换
for segment, segment_timestamps in time_segments.items():
for _, segment_timestamps in time_segments.items():
# 选择这个时间段中的第一个时间戳
to_convert.append(segment_timestamps[0])
# 确保第一个和最后一个时间戳在转换列表中
first_in_list = False
last_in_list = False
for ts, match in to_convert:
for ts, _ in to_convert:
if ts == first_timestamp:
first_in_list = True
if ts == last_timestamp:
last_in_list = True
if not first_in_list:
to_convert.append((first_timestamp, first_match))
if not last_in_list:
to_convert.append((last_timestamp, last_match))
# 创建需要转换的时间戳集合，用于快速查找
to_convert_set = {match.group(0) for _, match in to_convert}
# 首先替换所有不需要转换的时间戳为空字符串
for ts, match in timestamps:
for _, match in timestamps:
if match.group(0) not in to_convert_set:
pattern_instance = re.escape(match.group(0))
result_text = re.sub(pattern_instance, "", result_text, count=1)
# 按照时间戳原始顺序排序，避免替换时位置错误
to_convert.sort(key=lambda x: x[1].start())
# 执行替换
# 由于替换会改变文本长度，从后向前替换
to_convert.reverse()
@@ -775,5 +776,5 @@ def parse_text_timestamps(text: str, mode: str = "normal") -> str:
readable_time = translate_timestamp_to_human_readable(ts, "relative")
pattern_instance = re.escape(match.group(0))
result_text = re.sub(pattern_instance, readable_time, result_text, count=1)
return result_text