修复版本1.0.7的若干问题 (#11)

* fix/ 0:00 audio ui

* fix/ persist memoir image state and collapse voice history

Keep generated chapter images from staying in processing after successful uploads, and restore segmented voice recordings as a single audio message when reopening conversations.

Made-with: Cursor

* fix/ persist local conversation state and stabilize voice UI

Keep CreateMemory conversations driven by Room so recent text and audio survive page exits, and prevent stale 0:00 voice bubbles while list ordering follows the latest local message time.

Made-with: Cursor

* fix/ server-side root cause for conversation list time and message timestamps

- Add Conversation.last_message_at column with migration and index
- Update last_message_at on text message, audio segment, and AI response
- Sort conversation list by COALESCE(last_message_at, started_at) DESC
- Return real per-message timestamps from Redis history instead of now()
- Pass user_message_timestamp through agent pipeline to avoid LLM delay skew
- Remove all debug logging from server, client, and CI workflow
- Restore import json in conversation_agent (was broken by debug removal)
- Client: remove DebugRuntimeLogger, stop sending transcript as text message

Made-with: Cursor

---------

Co-authored-by: Kevin <kevin@brighteng.org>

api/agents/conversation_agent.py

@@ -5,6 +5,7 @@
 """
 import json
 import logging
+from datetime import datetime
 from typing import List, Optional, Dict, Any
 
 from langchain_core.messages import HumanMessage, AIMessage
@@ -50,10 +51,17 @@ class ConversationAgent:
         role: str,
         content: str,
         message_type: str = "text",
+        voice_session_id: str | None = None,
+        timestamp: datetime | str | int | None = None,
     ):
         """保存消息到 Redis"""
         await redis_service.add_message(
-            conversation_id, role, content, message_type=message_type
+            conversation_id,
+            role,
+            content,
+            message_type=message_type,
+            voice_session_id=voice_session_id,
+            timestamp=timestamp.isoformat() if isinstance(timestamp, datetime) else timestamp,
         )
     
     def _format_history_string(self, messages: List[Any]) -> str:
@@ -245,6 +253,8 @@ class ConversationAgent:
         filled_fields: Dict[str, str],
         nickname: str = "",
         is_from_voice: bool = False,
+        voice_session_id: str | None = None,
+        user_message_timestamp: datetime | None = None,
     ) -> List[str]:
         """在资料收集过程中生成跟进回复"""
         if not self.llm:
@@ -260,7 +270,14 @@ class ConversationAgent:
             response_text = response.content if hasattr(response, 'content') else str(response)
 
             human_msg_type = "audio" if is_from_voice else "text"
-            await self._save_message(conversation_id, "human", user_message, message_type=human_msg_type)
+            await self._save_message(
+                conversation_id,
+                "human",
+                user_message,
+                message_type=human_msg_type,
+                voice_session_id=voice_session_id,
+                timestamp=user_message_timestamp,
+            )
             await self._save_message(conversation_id, "ai", response_text)
 
             messages = [msg.strip() for msg in response_text.split("[SPLIT]") if msg.strip()]
@@ -296,6 +313,8 @@ class ConversationAgent:
         memoir_state: MemoirStateSchema,
         user_profile_context: str = "",
         is_from_voice: bool = False,
+        voice_session_id: str | None = None,
+        user_message_timestamp: datetime | None = None,
     ) -> List[str]:
         """
         基于共享状态异步生成引导式回复
@@ -347,7 +366,14 @@ class ConversationAgent:
             response_text = response.content if hasattr(response, 'content') else str(response)
 
             human_msg_type = "audio" if is_from_voice else "text"
-            await self._save_message(conversation_id, "human", user_message, message_type=human_msg_type)
+            await self._save_message(
+                conversation_id,
+                "human",
+                user_message,
+                message_type=human_msg_type,
+                voice_session_id=voice_session_id,
+                timestamp=user_message_timestamp,
+            )
             await self._save_message(conversation_id, "ai", response_text)
 
             messages = [msg.strip() for msg in response_text.split("[SPLIT]") if msg.strip()]