Fix the lint issue

examples/lightrag_zhipu_postgres_demo.py

@@ -104,13 +104,3 @@ async def main():
 
 if __name__ == "__main__":
     asyncio.run(main())
-
-
-async def print_stream(stream):
-    async for chunk in stream:
-        print(chunk, end="", flush=True)
-
-
-
-
-

lightrag/kg/postgres_impl_test.py

@@ -20,10 +20,9 @@ if sys.platform.startswith("win"):
 async def get_pool():
     return await asyncpg.create_pool(
         f"postgres://{USER}:{PASSWORD}@{HOST}:{PORT}/{DB}",
-        min_size=10,  # 连接池初始化时默认的最小连接数, 默认为1 0
-        max_size=10,  # 连接池的最大连接数, 默认为 10
-        max_queries=5000,  # 每个链接最大查询数量, 超过了就换新的连接, 默认 5000
-        # 最大不活跃时间, 默认 300.0, 超过这个时间的连接就会被关闭, 传入 0 的话则永不关闭
+        min_size=10,
+        max_size=10,
+        max_queries=5000,
         max_inactive_connection_lifetime=300.0
     )
 
@@ -118,5 +117,3 @@ async def main():
 
 if __name__ == '__main__':
     asyncio.run(query_with_age())
-
-

requirements.txt

@@ -1,29 +1,38 @@
 accelerate
-aioboto3
-aiohttp
+aioboto3~=13.3.0
+aiohttp~=3.11.11
 
 # database packages
 graspologic
 gremlinpython
 hnswlib
 nano-vectordb
-neo4j
-networkx
-ollama
-openai
+neo4j~=5.27.0
+networkx~=3.2.1
+ollama~=0.4.4
+openai~=1.58.1
 oracledb
-psycopg[binary,pool]
+psycopg[binary,pool]~=3.2.3
 pymilvus
 pymongo
 pymysql
-pyvis
+pyvis~=0.3.2
 # lmdeploy[all]
-sqlalchemy
-tenacity
+sqlalchemy~=2.0.36
+tenacity~=9.0.0
 
 
 # LLM packages
-tiktoken
-torch
-transformers
+tiktoken~=0.8.0
+torch~=2.5.1+cu121
+transformers~=4.47.1
 xxhash
+
+numpy~=2.2.0
+aiofiles~=24.1.0
+pydantic~=2.10.4
+python-dotenv~=1.0.1
+psycopg-pool~=3.2.4
+tqdm~=4.67.1
+asyncpg~=0.30.0
+setuptools~=70.0.0