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重构数据库访问，替换为统一的数据库实例引用

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晴猫
2025-03-12 22:27:59 +09:00
parent 49082267bb
commit 8be087dcad
19 changed files with 138 additions and 284 deletions
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46
src/plugins/memory_system/memory_manual_build.py
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@@ -19,7 +19,7 @@ import jieba
root_path = os.path.abspath(os.path.join(os.path.dirname(__file__), "../../.."))
sys.path.append(root_path)
from src.common.database import Database
from src.common.database import db
from src.plugins.memory_system.offline_llm import LLMModel
# 获取当前文件的目录
@@ -49,7 +49,7 @@ def calculate_information_content(text):
return entropy
def get_cloest_chat_from_db(db, length: int, timestamp: str):
def get_cloest_chat_from_db(length: int, timestamp: str):
"""从数据库中获取最接近指定时间戳的聊天记录，并记录读取次数
Returns:
@@ -91,7 +91,6 @@ def get_cloest_chat_from_db(db, length: int, timestamp: str):
class Memory_graph:
def __init__(self):
self.G = nx.Graph() # 使用 networkx 的图结构
self.db = Database.get_instance()
def connect_dot(self, concept1, concept2):
# 如果边已存在，增加 strength
@@ -186,19 +185,19 @@ class Hippocampus:
# 短期：1h 中期：4h 长期：24h
for _ in range(time_frequency.get('near')):
random_time = current_timestamp - random.randint(1, 3600*4)
messages = get_cloest_chat_from_db(db=self.memory_graph.db, length=chat_size, timestamp=random_time)
messages = get_cloest_chat_from_db(length=chat_size, timestamp=random_time)
if messages:
chat_samples.append(messages)
for _ in range(time_frequency.get('mid')):
random_time = current_timestamp - random.randint(3600*4, 3600*24)
messages = get_cloest_chat_from_db(db=self.memory_graph.db, length=chat_size, timestamp=random_time)
messages = get_cloest_chat_from_db(length=chat_size, timestamp=random_time)
if messages:
chat_samples.append(messages)
for _ in range(time_frequency.get('far')):
random_time = current_timestamp - random.randint(3600*24, 3600*24*7)
messages = get_cloest_chat_from_db(db=self.memory_graph.db, length=chat_size, timestamp=random_time)
messages = get_cloest_chat_from_db(length=chat_size, timestamp=random_time)
if messages:
chat_samples.append(messages)
@@ -323,7 +322,7 @@ class Hippocampus:
self.memory_graph.G.clear()
# 从数据库加载所有节点
nodes = self.memory_graph.db.graph_data.nodes.find()
nodes = db.graph_data.nodes.find()
for node in nodes:
concept = node['concept']
memory_items = node.get('memory_items', [])
@@ -334,7 +333,7 @@ class Hippocampus:
self.memory_graph.G.add_node(concept, memory_items=memory_items)
# 从数据库加载所有边
edges = self.memory_graph.db.graph_data.edges.find()
edges = db.graph_data.edges.find()
for edge in edges:
source = edge['source']
target = edge['target']
@@ -371,7 +370,7 @@ class Hippocampus:
使用特征值(哈希值)快速判断是否需要更新
"""
# 获取数据库中所有节点和内存中所有节点
db_nodes = list(self.memory_graph.db.graph_data.nodes.find())
db_nodes = list(db.graph_data.nodes.find())
memory_nodes = list(self.memory_graph.G.nodes(data=True))
# 转换数据库节点为字典格式，方便查找
@@ -394,7 +393,7 @@ class Hippocampus:
'memory_items': memory_items,
'hash': memory_hash
}
self.memory_graph.db.graph_data.nodes.insert_one(node_data)
db.graph_data.nodes.insert_one(node_data)
else:
# 获取数据库中节点的特征值
db_node = db_nodes_dict[concept]
@@ -403,7 +402,7 @@ class Hippocampus:
# 如果特征值不同，则更新节点
if db_hash != memory_hash:
# logger.info(f"更新节点内容: {concept}")
self.memory_graph.db.graph_data.nodes.update_one(
db.graph_data.nodes.update_one(
{'concept': concept},
{'$set': {
'memory_items': memory_items,
@@ -416,10 +415,10 @@ class Hippocampus:
for db_node in db_nodes:
if db_node['concept'] not in memory_concepts:
# logger.info(f"删除多余节点: {db_node['concept']}")
self.memory_graph.db.graph_data.nodes.delete_one({'concept': db_node['concept']})
db.graph_data.nodes.delete_one({'concept': db_node['concept']})
# 处理边的信息
db_edges = list(self.memory_graph.db.graph_data.edges.find())
db_edges = list(db.graph_data.edges.find())
memory_edges = list(self.memory_graph.G.edges())
# 创建边的哈希值字典
@@ -445,12 +444,12 @@ class Hippocampus:
'num': 1,
'hash': edge_hash
}
self.memory_graph.db.graph_data.edges.insert_one(edge_data)
db.graph_data.edges.insert_one(edge_data)
else:
# 检查边的特征值是否变化
if db_edge_dict[edge_key]['hash'] != edge_hash:
logger.info(f"更新边: {source} - {target}")
self.memory_graph.db.graph_data.edges.update_one(
db.graph_data.edges.update_one(
{'source': source, 'target': target},
{'$set': {'hash': edge_hash}}
)
@@ -461,7 +460,7 @@ class Hippocampus:
if edge_key not in memory_edge_set:
source, target = edge_key
logger.info(f"删除多余边: {source} - {target}")
self.memory_graph.db.graph_data.edges.delete_one({
db.graph_data.edges.delete_one({
'source': source,
'target': target
})
@@ -487,9 +486,9 @@ class Hippocampus:
topic: 要删除的节点概念
"""
# 删除节点
self.memory_graph.db.graph_data.nodes.delete_one({'concept': topic})
db.graph_data.nodes.delete_one({'concept': topic})
# 删除所有涉及该节点的边
self.memory_graph.db.graph_data.edges.delete_many({
db.graph_data.edges.delete_many({
'$or': [
{'source': topic},
{'target': topic}
@@ -902,17 +901,6 @@ def visualize_graph_lite(memory_graph: Memory_graph, color_by_memory: bool = Fal
plt.show()
async def main():
# 初始化数据库
logger.info("正在初始化数据库连接...")
Database.initialize(
uri=os.getenv("MONGODB_URI"),
host=os.getenv("MONGODB_HOST", "127.0.0.1"),
port=int(os.getenv("MONGODB_PORT", "27017")),
db_name=os.getenv("DATABASE_NAME", "MegBot"),
username=os.getenv("MONGODB_USERNAME"),
password=os.getenv("MONGODB_PASSWORD"),
auth_source=os.getenv("MONGODB_AUTH_SOURCE"),
)
start_time = time.time()
test_pare = {'do_build_memory':False,'do_forget_topic':False,'do_visualize_graph':True,'do_query':False,'do_merge_memory':False}