Add Asynchronous Connection Pooling Support to PostgresChatMessageHistory

[The Wandering Algorithm (shamspias)]

This PR adds support for asynchronous connection pooling in the PostgresChatMessageHistory class, addressing issues #122 and #129

Changes Made:

• Modified PostgresChatMessageHistory:
  • Added a conn_pool parameter to accept an AsyncConnectionPool instance.
  • Adjusted the __init__ method to include conn_pool and reordered parameters for improved usability.
  • Ensured session_id and table_name can be passed as keyword arguments.
• Updated Asynchronous Methods:
  • Modified aget_messages and aadd_messages to utilize the connection pool when provided.
  • Maintained existing functionality for async_connection to ensure backward compatibility.
• Added Unit Tests:
  • Introduced test_async_chat_history_with_pool in tests/unit_tests/test_chat_histories.py to verify the new functionality.
• Updated Documentation:
  • Revised the README to include examples of using PostgresChatMessageHistory with an asynchronous connection pool.
  • Adjusted usage examples to reflect the updated parameter order and new conn_pool parameter.

Example Usage:

import uuid
import asyncio

from langchain_core.messages import SystemMessage, AIMessage, HumanMessage
from langchain_postgres import PostgresChatMessageHistory
from psycopg_pool import AsyncConnectionPool

async def main():
    # Database connection string
    conn_info = "postgresql://user:password@host:port/dbname"  # Replace with your connection info

    # Initialize the connection pool
    pool = AsyncConnectionPool(conninfo=conn_info)

    try:
        # Create the table schema (only needs to be done once)
        async with pool.connection() as async_connection:
            table_name = "chat_history"
            await PostgresChatMessageHistory.adrop_table(async_connection, table_name)
            await PostgresChatMessageHistory.acreate_tables(async_connection, table_name)

        session_id = str(uuid.uuid4())

        # Initialize the chat history manager with the connection pool
        chat_history = PostgresChatMessageHistory(
            session_id=session_id,
            table_name=table_name,
            conn_pool=pool
        )

        # Add messages to the chat history asynchronously
        await chat_history.aadd_messages([
            SystemMessage(content="System message"),
            AIMessage(content="AI response"),
            HumanMessage(content="Human message"),
        ])

        # Retrieve messages from the chat history
        messages = await chat_history.aget_messages()
        print(messages)
    finally:
        # Close the connection pool
        await pool.close()

# Run the async main function
asyncio.run(main())

Testing:

• Added a new test test_async_chat_history_with_pool in tests/unit_tests/test_chat_histories.py:

  async def test_async_chat_history_with_pool() -> None:
      """Test the async chat history using a connection pool."""
      from psycopg_pool import AsyncConnectionPool
      from tests.utils import DSN
  
      # Initialize the connection pool
      pool = AsyncConnectionPool(conninfo=DSN)
      try:
          table_name = "chat_history"
          session_id = str(uuid.uuid4())
  
          # Create tables using a connection from the pool
          async with pool.connection() as async_connection:
              await PostgresChatMessageHistory.adrop_table(async_connection, table_name)
              await PostgresChatMessageHistory.acreate_tables(async_connection, table_name)
  
          # Create PostgresChatMessageHistory with conn_pool
          chat_history = PostgresChatMessageHistory(
              session_id=session_id,
              table_name=table_name,
              conn_pool=pool,
          )
  
          # Ensure the chat history is empty
          messages = await chat_history.aget_messages()
          assert messages == []
  
          # Add messages to the chat history
          await chat_history.aadd_messages(
              [
                  SystemMessage(content="System message"),
                  AIMessage(content="AI response"),
                  HumanMessage(content="Human message"),
              ]
          )
  
          # Retrieve messages from the chat history
          messages = await chat_history.aget_messages()
          assert len(messages) == 3
          assert messages == [
              SystemMessage(content="System message"),
              AIMessage(content="AI response"),
              HumanMessage(content="Human message"),
          ]
  
          # Clear the chat history
          await chat_history.aclear()
          messages = await chat_history.aget_messages()
          assert messages == []
      finally:
          # Close the connection pool
          await pool.close()

• Ensured all existing tests pass, maintaining backward compatibility.

Documentation:

• README Updates:
  • Adjusted parameter usage in examples to match the updated __init__ method.
  • Added a new section demonstrating asynchronous usage with connection pooling.

Notes:

• Backward Compatibility:
  • Existing code using sync_connection or async_connection continues to work without modifications.
• Benefits:
  • Improves efficiency by reusing database connections through a connection pool.
  • Enhances resource management in asynchronous applications.

Related Issues:

• How to use PostgresChatMessageHistory with async connections when using RunnableWithMessageHistory? #122
• Add Support for Asynchronous Connection Pooling in PostgresChatMessageHistory #129

[Joshua Olalemi (JoshOlam)]

Erick Friis (@efriis) - Could you help review and merge this PR? I am building something that needs this fix ASAP, please.

Thanks.

[Syahrul Bahar Hamdani (syahrulhamdani)]

Hi - any updates so far for this fix?

[Sergey Vdovin (Feniksss)]

Hi - any updates so far for this fix?

[Muhammad Faiz Raza (faizrazadec)]

Hi - any updates so far for this fix?

Seems like, It haven't fixed yet, I was implementing the streaming in my application, but stuck with the async issue of postgres ChatMessageHistory. Do I have to modify the lib. installed locally? using the provided solution???