From 413973979cb2e96bd933292d45ce1a04d0df8786 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=9B=85=E8=AF=BA=E7=8B=90?=
 <212194964+foxcyber907@users.noreply.github.com>
Date: Sun, 5 Oct 2025 12:08:18 +0800
Subject: [PATCH] =?UTF-8?q?refactor(deps):=20=E5=B0=86jieba=E5=88=86?=
 =?UTF-8?q?=E8=AF=8D=E5=BA=93=E6=9B=BF=E6=8D=A2=E4=B8=BArjieba?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .gitignore                                    |  4 +-
 pyproject.toml                                |  3 +-
 requirements.lock                             |  2 +-
 requirements.txt                              |  2 +-
 src/chat/memory_system/memory_system.py       | 16 ++++--
 src/chat/utils/typo_generator.py              | 14 +++---
 src/chat/utils/utils.py                       |  4 +-
 src/chat/utils/utils_image.py                 |  4 +-
 src/common/logger.py                          |  2 +-
 src/person_info/relationship_manager.py       |  8 +--
 .../built_in/napcat_adapter_plugin/.gitignore |  4 +-
 template/bot_config_template.toml             |  2 +-
 uv.lock                                       | 49 +++++++++++++++++++
 13 files changed, 85 insertions(+), 29 deletions(-)

diff --git a/.gitignore b/.gitignore
index b63572ab4..4ada49d1a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -231,8 +231,8 @@ cython_debug/
 # PyPI configuration file
 .pypirc
 
-# jieba
-jieba.cache
+# rjieba
+rjieba.cache
 
 # .vscode
 !.vscode/settings.json
diff --git a/pyproject.toml b/pyproject.toml
index 04bb07299..17b361c5f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -21,7 +21,7 @@ dependencies = [
     "google>=3.0.0",
     "google-genai>=1.29.0",
     "httpx>=0.28.1",
-    "jieba>=0.42.1",
+    "rjieba>=0.42.1",
     "json-repair>=0.47.6",
     "json5>=0.12.1",
     "jsonlines>=4.0.0",
@@ -75,6 +75,7 @@ dependencies = [
     "aiomysql>=0.2.0",
     "aiosqlite>=0.21.0",
     "inkfox>=0.1.0",
+    "rrjieba>=0.1.13",
 ]
 
 [[tool.uv.index]]
diff --git a/requirements.lock b/requirements.lock
index 4eea567b2..47eb9c96a 100644
--- a/requirements.lock
+++ b/requirements.lock
@@ -90,7 +90,7 @@ idna==3.10
     #   yarl
 igraph==0.11.9
     # via python-igraph
-jieba==0.42.1
+rjieba==0.42.1
     # via -r requirements.txt
 jiter==0.10.0
     # via openai
diff --git a/requirements.txt b/requirements.txt
index a96737f69..86cd7d666 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -9,7 +9,7 @@ customtkinter
 dotenv
 faiss-cpu
 fastapi
-jieba
+rjieba
 jsonlines
 maim_message
 quick_algo
diff --git a/src/chat/memory_system/memory_system.py b/src/chat/memory_system/memory_system.py
index 11643fa97..6dc228f76 100644
--- a/src/chat/memory_system/memory_system.py
+++ b/src/chat/memory_system/memory_system.py
@@ -19,7 +19,7 @@ from src.chat.memory_system.memory_builder import MemoryBuilder, MemoryExtractio
 from src.chat.memory_system.memory_chunk import MemoryChunk
 from src.chat.memory_system.memory_fusion import MemoryFusionEngine
 from src.chat.memory_system.memory_query_planner import MemoryQueryPlanner
-# 简化的记忆采样模式枚举
+# 记忆采样模式枚举
 class MemorySamplingMode(Enum):
     """记忆采样模式"""
     HIPPOCAMPUS = "hippocampus"  # 海马体模式：定时任务采样
@@ -162,6 +162,7 @@ class MemorySystem:
     async def initialize(self):
         """异步初始化记忆系统"""
         try:
+            logger.info("正在初始化记忆系统...")
 
             # 初始化LLM模型
             fallback_task = getattr(self.llm_model, "model_for_task", None) if self.llm_model else None
@@ -267,8 +268,11 @@ class MemorySystem:
                     logger.warning(f"海马体采样器初始化失败: {e}")
                     self.hippocampus_sampler = None
 
+            # 统一存储已经自动加载数据，无需额外加载
+            logger.info("✅ 简化版记忆系统初始化完成")
 
             self.status = MemorySystemStatus.READY
+            logger.info("✅ 记忆系统初始化完成")
 
         except Exception as e:
             self.status = MemorySystemStatus.ERROR
@@ -546,16 +550,18 @@ class MemorySystem:
         return existing_candidates
 
     async def process_conversation_memory(self, context: dict[str, Any]) -> dict[str, Any]:
-        """对外暴露的对话记忆处理接口，支持海马体、即时、所有三种采样模式"""
+        """对外暴露的对话记忆处理接口，支持海马体、精准记忆、自适应三种采样模式"""
         start_time = time.time()
 
         try:
             context = dict(context or {})
 
             # 获取配置的采样模式
-            sampling_mode = getattr(global_config.memory, 'memory_sampling_mode', 'immediate')
+            sampling_mode = getattr(global_config.memory, 'memory_sampling_mode', 'precision')
             current_mode = MemorySamplingMode(sampling_mode)
 
+
+            context['__sampling_mode'] = current_mode.value
             logger.debug(f"使用记忆采样模式: {current_mode.value}")
 
             # 根据采样模式处理记忆
@@ -991,7 +997,7 @@ class MemorySystem:
             from src.chat.message_receive.chat_stream import get_chat_manager
 
             chat_manager = get_chat_manager()
-            chat_stream = await chat_manager.get_stream(stream_id)
+            chat_stream = chat_manager.get_stream(stream_id)
 
             if not chat_stream or not hasattr(chat_stream, "context_manager"):
                 logger.debug(f"未找到stream_id={stream_id}的聊天流或上下文管理器")
@@ -1105,7 +1111,7 @@ class MemorySystem:
                 from src.chat.message_receive.chat_stream import get_chat_manager
 
                 chat_manager = get_chat_manager()
-                chat_stream = await chat_manager.get_stream(stream_id)
+                chat_stream = chat_manager.get_stream(stream_id)
                 if chat_stream and hasattr(chat_stream, "context_manager"):
                     history_limit = self._determine_history_limit(context)
                     messages = chat_stream.context_manager.get_messages(limit=history_limit, include_unread=True)
diff --git a/src/chat/utils/typo_generator.py b/src/chat/utils/typo_generator.py
index 1852679a3..07a8a9160 100644
--- a/src/chat/utils/typo_generator.py
+++ b/src/chat/utils/typo_generator.py
@@ -9,7 +9,7 @@ import time
 from collections import defaultdict
 from pathlib import Path
 
-import jieba
+import rjieba
 import orjson
 from pypinyin import Style, pinyin
 
@@ -56,9 +56,9 @@ class ChineseTypoGenerator:
 
         # 使用内置的词频文件
         char_freq = defaultdict(int)
-        dict_path = os.path.join(os.path.dirname(jieba.__file__), "dict.txt")
+        dict_path = os.path.join(os.path.dirname(rjieba.__file__), "dict.txt")
 
-        # 读取jieba的词典文件
+        # 读取rjieba的词典文件
         with open(dict_path, encoding="utf-8") as f:
             for line in f:
                 word, freq = line.strip().split()[:2]
@@ -224,9 +224,9 @@ class ChineseTypoGenerator:
     @staticmethod
     def _segment_sentence(sentence):
         """
-        使用jieba分词，返回词语列表
+        使用rjieba分词，返回词语列表
         """
-        return list(jieba.cut(sentence))
+        return list(rjieba.cut(sentence))
 
     def _get_word_homophones(self, word):
         """
@@ -251,8 +251,8 @@ class ChineseTypoGenerator:
 
         all_combinations = itertools.product(*candidates)
 
-        # 获取jieba词典和词频信息
-        dict_path = os.path.join(os.path.dirname(jieba.__file__), "dict.txt")
+        # 获取rjieba词典和词频信息
+        dict_path = os.path.join(os.path.dirname(rjieba.__file__), "dict.txt")
         valid_words = {}  # 改用字典存储词语及其频率
         with open(dict_path, encoding="utf-8") as f:
             for line in f:
diff --git a/src/chat/utils/utils.py b/src/chat/utils/utils.py
index 53f020535..db73d83d2 100644
--- a/src/chat/utils/utils.py
+++ b/src/chat/utils/utils.py
@@ -6,7 +6,7 @@ import time
 from collections import Counter
 from typing import Any
 
-import jieba
+import rjieba
 import numpy as np
 from maim_message import UserInfo
 
@@ -440,7 +440,7 @@ def cosine_similarity(v1, v2):
 def text_to_vector(text):
     """将文本转换为词频向量"""
     # 分词
-    words = jieba.lcut(text)
+    words = rjieba.lcut(text)
     return Counter(words)
 
 
diff --git a/src/chat/utils/utils_image.py b/src/chat/utils/utils_image.py
index 29a918d87..9c5de0086 100644
--- a/src/chat/utils/utils_image.py
+++ b/src/chat/utils/utils_image.py
@@ -226,9 +226,9 @@ class ImageManager:
             if emotion_result is None:
                 logger.warning("LLM未能生成情感标签，使用详细描述的前几个词")
                 # 降级处理：从详细描述中提取关键词
-                import jieba
+                import rjieba
 
-                words = list(jieba.cut(detailed_description))
+                words = list(rjieba.cut(detailed_description))
                 emotion_result = "，".join(words[:2]) if len(words) >= 2 else (words[0] if words else "表情")
 
             # 处理情感结果，取前1-2个最重要的标签
diff --git a/src/common/logger.py b/src/common/logger.py
index 5eade9ec3..bcb311b9f 100644
--- a/src/common/logger.py
+++ b/src/common/logger.py
@@ -299,7 +299,7 @@ def load_log_config():  # sourcery skip: use-contextlib-suppress
             "peewee",
             "openai",
             "uvicorn",
-            "jieba",
+            "rjieba",
         ],
         "library_log_levels": {"aiohttp": "WARNING"},
     }
diff --git a/src/person_info/relationship_manager.py b/src/person_info/relationship_manager.py
index 7792798f1..23752c365 100644
--- a/src/person_info/relationship_manager.py
+++ b/src/person_info/relationship_manager.py
@@ -4,7 +4,7 @@ from datetime import datetime
 from difflib import SequenceMatcher
 from typing import Any
 
-import jieba
+import rjieba
 import orjson
 from json_repair import repair_json
 from sklearn.feature_extraction.text import TfidfVectorizer
@@ -535,9 +535,9 @@ class RelationshipManager:
         s1 = str(s1)
         s2 = str(s2)
 
-        # 1. 使用 jieba 进行分词
-        s1_words = " ".join(jieba.cut(s1))
-        s2_words = " ".join(jieba.cut(s2))
+        # 1. 使用 rjieba 进行分词
+        s1_words = " ".join(rjieba.cut(s1))
+        s2_words = " ".join(rjieba.cut(s2))
 
         # 2. 将两句话放入一个列表中
         corpus = [s1_words, s2_words]
diff --git a/src/plugins/built_in/napcat_adapter_plugin/.gitignore b/src/plugins/built_in/napcat_adapter_plugin/.gitignore
index 0a12c0b74..e4ce10662 100644
--- a/src/plugins/built_in/napcat_adapter_plugin/.gitignore
+++ b/src/plugins/built_in/napcat_adapter_plugin/.gitignore
@@ -184,8 +184,8 @@ cython_debug/
 # PyPI configuration file
 .pypirc
 
-# jieba
-jieba.cache
+# rjieba
+rjieba.cache
 
 # .vscode
 !.vscode/settings.json
diff --git a/template/bot_config_template.toml b/template/bot_config_template.toml
index 28bfa1a88..9ae43781a 100644
--- a/template/bot_config_template.toml
+++ b/template/bot_config_template.toml
@@ -375,7 +375,7 @@ console_log_level = "INFO" # 控制台日志级别，可选: DEBUG, INFO, WARNIN
 file_log_level = "DEBUG" # 文件日志级别，可选: DEBUG, INFO, WARNING, ERROR, CRITICAL
 
 # 第三方库日志控制
-suppress_libraries = ["faiss","httpx", "urllib3", "asyncio", "websockets", "httpcore", "requests", "peewee", "openai","uvicorn","jieba","maim_message"] # 完全屏蔽的库
+suppress_libraries = ["faiss","httpx", "urllib3", "asyncio", "websockets", "httpcore", "requests", "peewee", "openai","uvicorn","rjieba","maim_message"] # 完全屏蔽的库
 library_log_levels = { "aiohttp" = "WARNING"} # 设置特定库的日志级别
 
 [dependency_management] # 插件Python依赖管理配置
diff --git a/uv.lock b/uv.lock
index 7a974afd0..cc16c8f8d 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1345,6 +1345,15 @@ wheels = [
     { url = "https://pypi.tuna.tsinghua.edu.cn/packages/a4/ed/1f1afb2e9e7f38a545d628f864d562a5ae64fe6f7a10e28ffb9b185b4e89/importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec", size = 37461, upload-time = "2025-01-03T18:51:54.306Z" },
 ]
 
+[[package]]
+name = "inkfox"
+version = "0.1.0"
+source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
+wheels = [
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/3f/1d/bdfe144e72d670f35ed87dfcd064c52b3e8d2604700c13bdd6f162a91f45/inkfox-0.1.0-cp311-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:3adc20060ca74119ea05589ff3e85d41c83a8f005422b38ffe96b216fde47b54", size = 364637, upload-time = "2025-09-21T00:56:15.472Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/ab/7f/64b8d3ca70db30595d87f34215e60881029b44f0a7506e87a7456056d05c/inkfox-0.1.0-cp311-abi3-win_amd64.whl", hash = "sha256:bcaef8137be41b3f706e7f0246cbb0d92e9f309e1c6b947870bf3b405d1304f4", size = 257835, upload-time = "2025-09-21T00:56:16.993Z" },
+]
+
 [[package]]
 name = "jieba"
 version = "0.42.1"
@@ -1733,6 +1742,7 @@ dependencies = [
     { name = "google" },
     { name = "google-genai" },
     { name = "httpx" },
+    { name = "inkfox" },
     { name = "jieba" },
     { name = "json-repair" },
     { name = "json5" },
@@ -1768,6 +1778,7 @@ dependencies = [
     { name = "reportportal-client" },
     { name = "requests" },
     { name = "rich" },
+    { name = "rjieba" },
     { name = "ruff" },
     { name = "scikit-learn" },
     { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }, marker = "python_full_version < '3.11'" },
@@ -1815,6 +1826,7 @@ requires-dist = [
     { name = "google", specifier = ">=3.0.0" },
     { name = "google-genai", specifier = ">=1.29.0" },
     { name = "httpx", specifier = ">=0.28.1" },
+    { name = "inkfox", specifier = ">=0.1.0" },
     { name = "jieba", specifier = ">=0.42.1" },
     { name = "json-repair", specifier = ">=0.47.6" },
     { name = "json5", specifier = ">=0.12.1" },
@@ -1848,6 +1860,7 @@ requires-dist = [
     { name = "reportportal-client", specifier = ">=5.6.5" },
     { name = "requests", specifier = ">=2.32.4" },
     { name = "rich", specifier = ">=14.0.0" },
+    { name = "rjieba", specifier = ">=0.1.13" },
     { name = "ruff", specifier = ">=0.12.2" },
     { name = "scikit-learn", specifier = ">=1.7.0" },
     { name = "scipy", specifier = ">=1.15.3" },
@@ -3695,6 +3708,42 @@ wheels = [
     { url = "https://pypi.tuna.tsinghua.edu.cn/packages/0d/9b/63f4c7ebc259242c89b3acafdb37b41d1185c07ff0011164674e9076b491/rich-14.0.0-py3-none-any.whl", hash = "sha256:1c9491e1951aac09caffd42f448ee3d04e58923ffe14993f6e83068dc395d7e0", size = 243229, upload-time = "2025-03-30T14:15:12.283Z" },
 ]
 
+[[package]]
+name = "rjieba"
+version = "0.1.13"
+source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
+sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/ec/d6/00bce0f8997f01d4c626b87791597c02d40602d7eeedf785edd194ee49b6/rjieba-0.1.13.tar.gz", hash = "sha256:3ff7396e645c6ebf8c780ac2d585a6c92ddc5e135be83b0da0da9f995ae62f46", size = 11686, upload-time = "2025-01-13T13:17:29.653Z" }
+wheels = [
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/35/99/f51b60c29e0d846ee69015fd9a0f67c1672317e7cf2c10c4a514ae50d1eb/rjieba-0.1.13-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:dc0e122105ac0e868a7ba4bfef7b90c26d626fd1a7fbbb999d0a5811f5ce6ebf", size = 3266877, upload-time = "2025-01-13T13:17:03.912Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/f1/55/2838a76b4cab37a1ba9a2b66c52ad45001e058df30bb13ffb6c490becf83/rjieba-0.1.13-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:6ddc66958b0afaca46b8e754baa76fd56535c0ad18c996f27463d588645d2456", size = 3231822, upload-time = "2025-01-13T13:16:55.697Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/c9/67/d9bbdfcea47dd096e3c00262753906ca5610bce1a138a9de01c477c7fe31/rjieba-0.1.13-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9799b64142809b99132d82dee932dcf258251b8fe1fff0e067a5d561016a3f40", size = 3545113, upload-time = "2025-01-13T13:16:28.318Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/2a/f4/281b14bd905edae5309b543721274bbc0e35e567670d7fc6d63c7db218d5/rjieba-0.1.13-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f561f15ed8d64e8f2853ddd0edffa91c62c47b0c29fd40d7943a86be3abae3c6", size = 3362437, upload-time = "2025-01-13T13:16:32.066Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/1f/78/a1df7798ed181d2c6f6461250c8d468d8c133bd095f0b1193daa98edce3c/rjieba-0.1.13-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce0d60d2151af74f231f91cf746b589479ed98a11c804240c67faffd6363e56d", size = 3610289, upload-time = "2025-01-13T13:16:36.815Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/33/e8/7104e75739d8aa3c9aa9f80e4c64c0f424f50c956cd17d9cac21501dc546/rjieba-0.1.13-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6b9b6416bb00be0b037feae72839a7605a8b7641d815f8ed11284d6a16d10b35", size = 3695122, upload-time = "2025-01-13T13:16:40.332Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/57/ed/5a127fd5015e9ce30abec027329a8042186be9db67e0edae1c5e7bc3aae1/rjieba-0.1.13-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:63389d5d10db6d2f9efd8f098fbe58601858b23001df5eff53c4c60695e56879", size = 3569926, upload-time = "2025-01-13T13:16:48.523Z" },
+    { url = "https://pypi.tuna.tsinghua.edu.cn/packages/64/ad/ecc84685e7e76ced4f035c2ed4f010e97404a64418ecd31d53e56ceca030/rjieba-0.1.13-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:3811d7fe425b53b1215193697a378ec4e5541abbd15adedd53de04a76c7a60a7", size = 3414695, upload-time = "2025-01-13T13:16:45.01Z" },
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 version = "0.27.0"