Files
group_fqcd_jr/app/repository/conversation_repository.py

45 lines
1.9 KiB
Python

from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.model.conversation import ConversationFeedback, ConversationMessage
from app.model.platform import AgentRun
class ConversationRepository:
def __init__(self, session: AsyncSession) -> None:
self.session = session
async def messages(
self, session_id: str, user_id: int, limit: int
) -> list[ConversationMessage]:
return list(await self.session.scalars(select(ConversationMessage).where(
ConversationMessage.session_id == session_id,
ConversationMessage.customer_id == user_id,
).order_by(ConversationMessage.id.desc()).limit(limit)))
async def message(self, message_id: int, user_id: int) -> ConversationMessage | None:
statement = select(ConversationMessage).where(
ConversationMessage.id == message_id, ConversationMessage.customer_id == user_id,
).with_for_update()
row: ConversationMessage | None = await self.session.scalar(statement)
return row
async def feedback(self, message_id: int, user_id: int) -> ConversationFeedback | None:
statement = select(ConversationFeedback).where(
ConversationFeedback.message_id == message_id,
ConversationFeedback.customer_id == user_id,
)
row: ConversationFeedback | None = await self.session.scalar(statement)
return row
async def run_result(
self, run_id: str, user_id: int
) -> tuple[AgentRun, ConversationMessage | None] | None:
run = await self.session.scalar(select(AgentRun).where(
AgentRun.run_id == run_id, AgentRun.user_id == user_id))
if run is None:
return None
message = (await self.session.get(ConversationMessage, run.result_message_id)
if run.result_message_id else None)
return run, message