fix(thread-memory): 修复语言识别与队列健壮性

backend/packages/harness/deerflow/agents/memory/thread_prompt.py

@@ -6,6 +6,8 @@ import json
 import re
 from typing import Any
 
+from langchain_core.messages import HumanMessage
+
 from deerflow.agents.memory.prompt import format_conversation_for_update, format_memory_for_injection
 
 THREAD_MEMORY_UPDATE_PROMPT = """You are a user profile memory system.
@@ -68,13 +70,43 @@ def create_empty_thread_memory() -> dict[str, Any]:
     }
 
 
+def _extract_human_text(content: Any) -> str:
+    if isinstance(content, str):
+        return content.strip()
+    if isinstance(content, list):
+        chunks: list[str] = []
+        for item in content:
+            if isinstance(item, str):
+                stripped = item.strip()
+                if stripped:
+                    chunks.append(stripped)
+            elif isinstance(item, dict):
+                text_val = item.get("text")
+                if isinstance(text_val, str):
+                    stripped = text_val.strip()
+                    if stripped:
+                        chunks.append(stripped)
+        return "\n".join(chunks).strip()
+    return ""
+
+
 def _infer_preferred_memory_language(messages: list[Any]) -> str:
-    conversation = format_conversation_for_update(messages)
+    user_texts: list[str] = []
-    if not conversation.strip():
+    for msg in messages:
+        if isinstance(msg, HumanMessage):
+            extracted = _extract_human_text(getattr(msg, "content", None))
+            if extracted:
+                user_texts.append(extracted)
+
+    if not user_texts:
         return "same as the user's latest message"
 
+    # Prioritize the latest user message; fallback to a short recent window.
+    recent_window = user_texts[-3:]
+    language_sample = "\n".join(recent_window)
+
     # If user explicitly provides locale hints, prefer them.
-    locale_match = re.search(r"\b([a-z]{2}-[A-Z]{2})\b", conversation)
+    locale_match = re.search(r"\b([a-z]{2}-[A-Z]{2})\b", language_sample)
     if locale_match:
         return locale_match.group(1)
 
@@ -90,7 +122,7 @@ def _infer_preferred_memory_language(messages: list[Any]) -> str:
         "he-IL": r"[\u0590-\u05FF]",
         "el-GR": r"[\u0370-\u03FF]",
     }
-    counts = {lang: len(re.findall(pattern, conversation)) for lang, pattern in script_patterns.items()}
+    counts = {lang: len(re.findall(pattern, language_sample)) for lang, pattern in script_patterns.items()}
     best_lang, best_count = max(counts.items(), key=lambda item: item[1])
     if best_count > 0:
         return best_lang

backend/packages/harness/deerflow/agents/memory/thread_queue.py

@@ -4,7 +4,7 @@ from __future__ import annotations
 
 import threading
 from dataclasses import dataclass, field
-from datetime import datetime
+from datetime import UTC, datetime
 from typing import Any
 
 from deerflow.config.thread_memory_config import get_thread_memory_config
@@ -14,54 +14,54 @@ from deerflow.config.thread_memory_config import get_thread_memory_config
 class ThreadConversationContext:
     thread_id: str
     messages: list[Any]
-    timestamp: datetime = field(default_factory=datetime.utcnow)
+    timestamp: datetime = field(default_factory=lambda: datetime.now(UTC))
 
 
 class ThreadMemoryUpdateQueue:
     def __init__(self):
-        self._queue: list[ThreadConversationContext] = []
+        self._queue_by_thread: dict[str, ThreadConversationContext] = {}
         self._lock = threading.Lock()
-        self._timer: threading.Timer | None = None
+        self._timers: dict[str, threading.Timer] = {}
-        self._processing = False
+        self._processing_threads: set[str] = set()
 
     def add(self, thread_id: str, messages: list[Any]) -> None:
         config = get_thread_memory_config()
         if not config.enabled:
             return
         with self._lock:
-            self._queue = [c for c in self._queue if c.thread_id != thread_id]
+            self._queue_by_thread[thread_id] = ThreadConversationContext(thread_id=thread_id, messages=messages)
-            self._queue.append(ThreadConversationContext(thread_id=thread_id, messages=messages))
+            self._reset_timer(thread_id)
-            self._reset_timer()
 
-    def _reset_timer(self) -> None:
+    def _reset_timer(self, thread_id: str) -> None:
         config = get_thread_memory_config()
-        if self._timer is not None:
+        timer = self._timers.get(thread_id)
-            self._timer.cancel()
+        if timer is not None:
-        self._timer = threading.Timer(config.debounce_seconds, self._process_queue)
+            timer.cancel()
-        self._timer.daemon = True
+        timer = threading.Timer(config.debounce_seconds, self._process_thread, args=(thread_id,))
-        self._timer.start()
+        timer.daemon = True
+        self._timers[thread_id] = timer
+        timer.start()
 
-    def _process_queue(self) -> None:
+    def _process_thread(self, thread_id: str) -> None:
         from deerflow.agents.memory.thread_updater import ThreadMemoryUpdater
 
         with self._lock:
-            if self._processing:
+            if thread_id in self._processing_threads:
-                self._reset_timer()
+                self._reset_timer(thread_id)
                 return
-            if not self._queue:
+            context = self._queue_by_thread.pop(thread_id, None)
+            if context is None:
+                self._timers.pop(thread_id, None)
                 return
-            self._processing = True
+            self._processing_threads.add(thread_id)
-            contexts = self._queue.copy()
+            self._timers.pop(thread_id, None)
-            self._queue.clear()
-            self._timer = None
 
         try:
             updater = ThreadMemoryUpdater()
-            for context in contexts:
             updater.update_memory(context.messages, context.thread_id)
         finally:
             with self._lock:
-                self._processing = False
+                self._processing_threads.discard(thread_id)
 
 
 _thread_queue: ThreadMemoryUpdateQueue | None = None

backend/packages/harness/deerflow/agents/memory/thread_updater.py

@@ -40,6 +40,13 @@ class ThreadMemoryUpdater:
         )
 
     def _scrub_sensitive(self, data: dict[str, Any], thread_id: str) -> dict[str, Any]:
+        def safe_confidence(val: Any, default: float = 0.5) -> float:
+            try:
+                parsed = float(val)
+            except (TypeError, ValueError):
+                return default
+            return max(0.0, min(1.0, parsed))
+
         def safe_text(val: Any) -> str | None:
             if not isinstance(val, str):
                 return None
@@ -89,13 +96,13 @@ class ThreadMemoryUpdater:
             if key in seen:
                 continue
             seen.add(key)
-            confidence = float(fact.get("confidence", 0.5))
+            confidence = safe_confidence(fact.get("confidence", 0.5))
             cleaned["facts"].append(
                 {
                     "id": f"fact_{uuid.uuid4().hex[:8]}",
                     "content": content,
                     "category": str(fact.get("category", "context")).strip() or "context",
-                    "confidence": max(0.0, min(1.0, confidence)),
+                    "confidence": confidence,
                     "createdAt": datetime.now(UTC).isoformat().replace("+00:00", "Z"),
                     "source": thread_id,
                 }

backend/tests/test_thread_memory_prompt.py

@@ -1,4 +1,4 @@
-from langchain_core.messages import HumanMessage
+from langchain_core.messages import AIMessage, HumanMessage
 
 from deerflow.agents.memory.thread_prompt import build_thread_memory_prompt, format_thread_memory_for_injection
 
@@ -51,3 +51,31 @@ def test_build_thread_memory_prompt_prefers_japanese_for_japanese_conversation()
         [HumanMessage(content="私は日本語で会話したいです。")],
     )
     assert "Preferred memory language: ja-JP" in prompt
+
+
+def test_build_thread_memory_prompt_uses_user_messages_only_for_language_inference():
+    prompt = build_thread_memory_prompt(
+        {"user": {}, "history": {}, "facts": []},
+        [
+            HumanMessage(content="请用中文记录记忆"),
+            AIMessage(content="Sure, I will answer in English with many many words."),
+            AIMessage(content="More English content that should not change language inference."),
+        ],
+    )
+    assert "Preferred memory language: zh-Hans" in prompt
+
+
+def test_build_thread_memory_prompt_handles_structured_human_content():
+    prompt = build_thread_memory_prompt(
+        {"user": {}, "history": {}, "facts": []},
+        [
+            HumanMessage(
+                content=[
+                    {"type": "text", "text": "我希望记忆使用中文。"},
+                    {"type": "text", "text": "请继续。"},
+                ]
+            ),
+            AIMessage(content="I can also reply in English."),
+        ],
+    )
+    assert "Preferred memory language: zh-Hans" in prompt

backend/tests/test_thread_memory_queue.py

@@ -0,0 +1,33 @@
+from unittest.mock import patch
+
+from deerflow.agents.memory.thread_queue import ThreadMemoryUpdateQueue
+
+
+def test_thread_queue_keeps_latest_message_per_thread():
+    queue = ThreadMemoryUpdateQueue()
+    with patch.object(queue, "_reset_timer"):
+        queue.add("thread-a", ["msg-1"])
+        queue.add("thread-b", ["msg-2"])
+        queue.add("thread-a", ["msg-3"])
+
+    assert set(queue._queue_by_thread.keys()) == {"thread-a", "thread-b"}
+    assert queue._queue_by_thread["thread-a"].messages == ["msg-3"]
+
+
+def test_thread_queue_processes_single_thread_without_affecting_others():
+    queue = ThreadMemoryUpdateQueue()
+    with patch.object(queue, "_reset_timer"):
+        queue.add("thread-a", ["a-msg"])
+        queue.add("thread-b", ["b-msg"])
+
+    updater_calls: list[tuple[list[str], str]] = []
+
+    class _FakeUpdater:
+        def update_memory(self, messages, thread_id):
+            updater_calls.append((messages, thread_id))
+
+    with patch("deerflow.agents.memory.thread_updater.ThreadMemoryUpdater", _FakeUpdater):
+        queue._process_thread("thread-a")
+
+    assert updater_calls == [(["a-msg"], "thread-a")]
+    assert "thread-b" in queue._queue_by_thread

backend/tests/test_thread_memory_updater.py

@@ -0,0 +1,20 @@
+from deerflow.agents.memory.thread_updater import ThreadMemoryUpdater
+
+
+def test_scrub_sensitive_tolerates_non_numeric_confidence():
+    updater = ThreadMemoryUpdater()
+    cleaned = updater._scrub_sensitive(
+        {
+            "user": {},
+            "history": {},
+            "facts": [
+                {"content": "Uses React", "category": "knowledge", "confidence": "high"},
+                {"content": "Uses TypeScript", "category": "knowledge", "confidence": None},
+            ],
+        },
+        "thread-test",
+    )
+
+    assert len(cleaned["facts"]) == 2
+    assert cleaned["facts"][0]["confidence"] == 0.5
+    assert cleaned["facts"][1]["confidence"] == 0.5