refactor(core): move get_now_time function and update imports

reme_ai/core/schema/memory_node.py

@@ -4,15 +4,25 @@ This module defines the MemoryNode class for storing and retrieving
 memories in the ReMe system.
 """
 
+import datetime
 import hashlib
 import json
 from typing import Any
 
 from pydantic import BaseModel, Field, model_validator
 
+from .vector_node import VectorNode
 from ..enumeration import MemoryType
-from ..schema import VectorNode
-from ..utils import get_now_time
+
+
+def get_now_time() -> str:
+    """Get current timestamp in YYYY-MM-DD HH:MM:SS format.
+
+    Returns:
+        str: Current timestamp string in format 'YYYY-MM-DD HH:MM:SS'.
+    """
+    return datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+
 
 # Length of the memory ID (first N characters of SHA-256 hash)
 MEMORY_ID_LENGTH: int = 16

tests/test_llm.py

@@ -374,8 +374,6 @@ Examples:
     args = parser.parse_args()
 
     # Determine which LLMs to test
-    llms_to_test = []
-
     if args.all:
         llms_to_test = [
             (OpenAILLM, "OpenAILLM"),

tests/test_tool.py

@@ -8,7 +8,7 @@ search tools (Dashscope, Mock, Tavily) and execution tools (Code, Shell).
 
 import asyncio
 
-from reme_ai.core.reme import ReMe
+from reme_ai.reme import ReMe
 
 ReMe()
 
@@ -155,7 +155,7 @@ def test_simple_chat():
     Tests the SimpleChat agent with a basic query to verify
     it can process and respond to user input.
     """
-    from reme_ai.mem_agent import SimpleChat
+    from reme_ai.mem_agent.chat import SimpleChat
 
     op = SimpleChat()
     asyncio.run(op.call(query="你好"))
@@ -168,7 +168,7 @@ async def test_stream_chat():
     Tests the StreamChat agent with a query to verify it can
     process and stream responses in real-time using async operations.
     """
-    from reme_ai.mem_agent import StreamChat
+    from reme_ai.mem_agent.chat import StreamChat
     from reme_ai.core.utils import execute_stream_task
     from reme_ai.core.context import RuntimeContext
     from asyncio import Queue