This commit is contained in:
Windpicker-owo
2025-10-01 15:02:50 +08:00
5 changed files with 100 additions and 36 deletions

View File

@@ -207,6 +207,9 @@ class VideoAnalyzer:
"""检查视频是否已经分析过"""
try:
async with get_db_session() as session:
if not session:
logger.warning("无法获取数据库会话,跳过视频存在性检查。")
return None
# 明确刷新会话以确保看到其他事务的最新提交
await session.expire_all()
stmt = select(Videos).where(Videos.video_hash == video_hash)
@@ -227,6 +230,9 @@ class VideoAnalyzer:
try:
async with get_db_session() as session:
if not session:
logger.warning("无法获取数据库会话,跳过视频结果存储。")
return None
# 只根据video_hash查找
stmt = select(Videos).where(Videos.video_hash == video_hash)
result = await session.execute(stmt)
@@ -540,11 +546,14 @@ class VideoAnalyzer:
# logger.info(f"✅ 多帧消息构建完成,包含{len(frames)}张图片")
# 获取模型信息和客户端
model_info, api_provider, client = self.video_llm._select_model()
selection_result = self.video_llm._model_selector.select_best_available_model(set(), "response")
if not selection_result:
raise RuntimeError("无法为视频分析选择可用模型。")
model_info, api_provider, client = selection_result
# logger.info(f"使用模型: {model_info.name} 进行多帧分析")
# 直接执行多图片请求
api_response = await self.video_llm._execute_request(
api_response = await self.video_llm._executor.execute_request(
api_provider=api_provider,
client=client,
request_type=RequestType.RESPONSE,

View File

@@ -461,11 +461,14 @@ class LegacyVideoAnalyzer:
# logger.info(f"✅ 多帧消息构建完成,包含{len(frames)}张图片")
# 获取模型信息和客户端
model_info, api_provider, client = self.video_llm._select_model()
selection_result = self.video_llm._model_selector.select_best_available_model(set(), "response")
if not selection_result:
raise RuntimeError("无法为视频分析选择可用模型 (legacy)。")
model_info, api_provider, client = selection_result
# logger.info(f"使用模型: {model_info.name} 进行多帧分析")
# 直接执行多图片请求
api_response = await self.video_llm._execute_request(
api_response = await self.video_llm._executor.execute_request(
api_provider=api_provider,
client=client,
request_type=RequestType.RESPONSE,

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@@ -759,30 +759,38 @@ async def initialize_database():
@asynccontextmanager
async def get_db_session() -> AsyncGenerator[AsyncSession, None]:
"""异步数据库会话上下文管理器"""
async def get_db_session() -> AsyncGenerator[Optional[AsyncSession], None]:
"""
异步数据库会话上下文管理器。
在初始化失败时会yield None调用方需要检查会话是否为None。
"""
session: Optional[AsyncSession] = None
SessionLocal = None
try:
engine, SessionLocal = await initialize_database()
_, SessionLocal = await initialize_database()
if not SessionLocal:
raise RuntimeError("Database session not initialized")
session = SessionLocal()
logger.error("数据库会话工厂 (_SessionLocal) 未初始化。")
yield None
return
except Exception as e:
logger.error(f"数据库初始化失败,无法创建会话: {e}")
yield None
return
try:
session = SessionLocal()
# 对于 SQLite在会话开始时设置 PRAGMA
from src.config.config import global_config
if global_config.database.database_type == "sqlite":
try:
await session.execute(text("PRAGMA busy_timeout = 60000"))
await session.execute(text("PRAGMA foreign_keys = ON"))
except Exception as e:
logger.warning(f"[SQLite] 设置会话 PRAGMA 失败: {e}")
await session.execute(text("PRAGMA busy_timeout = 60000"))
await session.execute(text("PRAGMA foreign_keys = ON"))
yield session
except Exception as e:
logger.error(f"数据库会话错误: {e}")
logger.error(f"数据库会话期间发生错误: {e}")
if session:
await session.rollback()
raise
raise # 将会话期间的错误重新抛出给调用者
finally:
if session:
await session.close()

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@@ -111,17 +111,47 @@ class ChatterPlanExecutor:
}
async def _execute_reply_actions(self, reply_actions: List[ActionPlannerInfo], plan: Plan) -> Dict[str, any]:
"""串行执行所有回复动作"""
"""串行执行所有回复动作,增加去重逻辑,避免对同一消息多次回复"""
results = []
total_actions = len(reply_actions)
if total_actions > 1:
# --- 新增去重逻辑 ---
unique_actions = []
replied_message_ids = set()
for action_info in reply_actions:
target_message = action_info.action_message
message_id = None
if target_message:
# 兼容 Pydantic 对象和字典两种情况
if hasattr(target_message, "message_id"):
message_id = getattr(target_message, "message_id", None)
elif isinstance(target_message, dict):
message_id = target_message.get("message_id")
if message_id:
if message_id not in replied_message_ids:
unique_actions.append(action_info)
replied_message_ids.add(message_id)
else:
logger.warning(
f"[多重回复] 检测到对消息ID '{message_id}' 的重复回复,已过滤。"
f" (动作: {action_info.action_type}, 原因: {action_info.reasoning})"
)
else:
# 如果没有message_id无法去重直接添加
unique_actions.append(action_info)
# --- 去重逻辑结束 ---
total_actions = len(unique_actions)
if len(reply_actions) > total_actions:
logger.info(f"[多重回复] 原始回复任务 {len(reply_actions)} 个,去重后剩余 {total_actions} 个。")
elif total_actions > 1:
logger.info(f"[多重回复] 开始执行 {total_actions} 个回复任务。")
for i, action_info in enumerate(reply_actions):
for i, action_info in enumerate(unique_actions):
is_last_action = i == total_actions - 1
if total_actions > 1:
logger.info(f"[多重回复] 正在执行第 {i+1}/{total_actions} 个回复...")
# 传递 clear_unread 参数
result = await self._execute_single_reply_action(action_info, plan, clear_unread=is_last_action)
results.append(result)

View File

@@ -740,28 +740,42 @@ class QZoneService:
feeds_list = []
my_name = json_data.get("logininfo", {}).get("name", "")
for msg in json_data.get("msglist", []):
# 只有在处理好友说说时,才检查是否已评论并跳过
commentlist = msg.get("commentlist")
# 只有在处理好友说说时,才检查是否已评论并跳过
if not is_monitoring_own_feeds:
is_commented = any(
c.get("name") == my_name for c in msg.get("commentlist", []) if isinstance(c, dict)
)
is_commented = False
if isinstance(commentlist, list):
is_commented = any(
c.get("name") == my_name for c in commentlist if isinstance(c, dict)
)
if is_commented:
continue
images = [pic["url1"] for pic in msg.get("pictotal", []) if "url1" in pic]
# --- 安全地处理图片列表 ---
images = []
pictotal = msg.get("pictotal")
if isinstance(pictotal, list):
images = [
pic["url1"] for pic in pictotal if isinstance(pic, dict) and "url1" in pic
]
# --- 安全地处理评论列表 ---
comments = []
if "commentlist" in msg:
for c in msg["commentlist"]:
comments.append(
{
"qq_account": c.get("uin"),
"nickname": c.get("name"),
"content": c.get("content"),
"comment_tid": c.get("tid"),
"parent_tid": c.get("parent_tid"), # API直接返回了父ID
}
)
if isinstance(commentlist, list):
for c in commentlist:
# 确保评论条目也是字典
if isinstance(c, dict):
comments.append(
{
"qq_account": c.get("uin"),
"nickname": c.get("name"),
"content": c.get("content"),
"comment_tid": c.get("tid"),
"parent_tid": c.get("parent_tid"),
}
)
feeds_list.append(
{